Connexion

Flyers
GP: 74 | W: 20 | L: 49 | OTL: 5 | P: 45
GF: 271 | GA: 394 | PP%: 18.44% | PK%: 80.93%
DG: Shareem Mallick | Morale : 13 | Moyenne d’équipe : 58
#1205 vs Capitals
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Flyers
20-49-5, 45pts
5
FINAL
4 Blue Jackets
37-30-10, 84pts
Team Stats
L1SéquenceL1
8-29-2Fiche domicile21-11-6
12-20-3Fiche visiteur16-19-4
3-7-0Derniers 10 matchs4-3-3
3.66Buts par match 3.84
5.32Buts contre par match 3.86
18.44%Pourcentage en avantage numérique14.88%
80.93%Pourcentage en désavantage numérique85.61%
Red Wings
43-23-10, 96pts
3
FINAL
2 Flyers
20-49-5, 45pts
Team Stats
W1SéquenceL1
24-10-4Fiche domicile8-29-2
19-13-6Fiche visiteur12-20-3
6-3-1Derniers 10 matchs3-7-0
4.41Buts par match 3.66
3.97Buts contre par match 5.32
14.76%Pourcentage en avantage numérique18.44%
80.91%Pourcentage en désavantage numérique80.93%
Flyers
20-49-5, 45pts
Jour 96
Capitals
53-19-6, 112pts
Statistiques d’équipe
L1SéquenceW7
8-29-2Fiche domicile24-10-4
12-20-3Fiche visiteur29-9-2
3-7-010 derniers matchs8-2-0
3.66Buts par match 4.53
5.32Buts contre par match 4.53
18.44%Pourcentage en avantage numérique18.86%
80.93%Pourcentage en désavantage numérique86.78%
Flyers
20-49-5, 45pts
Jour 97
Islanders
55-19-3, 113pts
Statistiques d’équipe
L1SéquenceL1
8-29-2Fiche domicile24-11-3
12-20-3Fiche visiteur31-8-0
3-7-010 derniers matchs7-3-0
3.66Buts par match 4.57
5.32Buts contre par match 4.57
18.44%Pourcentage en avantage numérique18.25%
80.93%Pourcentage en désavantage numérique84.90%
Canucks
28-44-7, 63pts
Jour 98
Flyers
20-49-5, 45pts
Statistiques d’équipe
L1SéquenceL1
16-19-3Fiche domicile8-29-2
12-25-4Fiche visiteur12-20-3
4-4-210 derniers matchs3-7-0
3.62Buts par match 3.66
4.51Buts contre par match 3.66
12.68%Pourcentage en avantage numérique18.44%
77.87%Pourcentage en désavantage numérique80.93%
Meneurs d'équipe
Buts
Cody Glass
39
Passes
Cody Glass
50
Points
Cody Glass
89
Plus/Moins
Carson Gicewicz
-1
Victoires
Mads Sogaard
13
Pourcentage d’arrêts
Mads Sogaard
0.882

Statistiques d’équipe
Buts pour
271
3.66 GFG
Tirs pour
2963
40.04 Avg
Pourcentage en avantage numérique
18.4%
33 GF
Début de zone offensive
38.3%
Buts contre
394
5.32 GAA
Tirs contre
3153
42.61 Avg
Pourcentage en désavantage numérique
80.9%%
49 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralShareem Mallick
EntraîneurRob Zettler
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2Nick Blankenburg


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance16,918
Billets de saison10,800


Informations de la formation

Équipe Pro40
Équipe Mineure24
Limite contact 64 / 100
Espoirs142


Plafond salarial

Cap Salarial de la Saison estimé66,452,155$
Plafond salarial disponible8,047,845$
Valeur du plafond salarial spécial2,250,000$
Joueurs Inclus dans le plafond salarial40


Finance

Revenu annuel à ce jour54,556,011$
Dépenses annuelles à ce jour50,380,638$
Revenus de la saison estimés8,393,232$
Dépenses de la saison estimées14,921,496$
Compte bancaire actuel72,112,165$
Compte bancaire projeté65,450,783$


Historique d'équipe

Saison actuelle20-49-5 (45PTS)
Historique123-196-20 (0.363%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)5-7
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ben Copeland (R)X100.007869996669484849614844624244445319540241750,000$
2Drew WorradX100.007770926170586246584145614344445219530261750,000$
3Jake GaudetX100.0076757862755254486045466144444453205302712,295,000$
4Riley Bezeau (R)X100.0064685666686671475042475545444451185302112,288,000$
5Carson GicewiczX100.0081798460795052475941476345444453195302712,295,000$
6Anthony Vincent (R)XXX100.0073708165704747486047455942454551195302612,280,000$
7Tristan MullinXX100.0077738766735052445538456042454550195202712,276,000$
8Logan Nijhoff (R)XX100.0073688363685558445538445942444451195202212,265,000$
9Zach SolowXX100.006461716061454548604448554544445119510252874,000$
10Ryan FitzgeraldXX100.0072619967613937486044465844444452205102911,165,000$
11Morgan Adams-MoisanX100.0065793262795154445038445442444448195002712,243,000$
12Sean JoslingXX100.005465286365495144553844484244444619480253904,000$
13Jeremy Groleau (R)X100.007469896371606448254040583946464918560241878,000$
14Mitchell Vande SompelX100.007270776270545553254742594146465120560271914,356$
15Dmitri OsipovX100.007274656174626743253041573846464719550273909,000$
16Santino Centorame (R)X100.0073688866684546442533395837454548205402712,280,000$
17Ryan MacKinnonX100.0078709655704141462537396137454549205302912,284,000$
Rayé
1Cody GlassX100.0072439186746890818179766475626370447302421,408,000$
2Philipp KurashevXXX100.006542947872778779497370716364646740700242946,000$
3Sam LaffertyXXX100.0083758576746880647865697825666670686902913,000,000$
4Matt NietoXX100.0065419479676693644464707625788168376803133,000,000$
5Chris TierneyX100.0063429584725880576965597425767664316602912,999,500$
6Nicolas PetanXXX100.006562737062747573807070626562626634660291800,000$
7Nils HoglanderXX100.007142928567628162447063612561616434650231891,667$
8Denis MalginXX100.0075429678625774673663736425676768396502711,000,000$
9Maxime ComtoisX100.0078876872826780675062666553656565196502423,040,000$
10Klim KostinXX100.009291687683567958366370602559596620640242926,155$
11Michael PezzettaXX100.009899687082547857375959647559596325630262926,000$
12Gabriel DumontXX100.0071697963696262638058636461606163196103311,160,000$
13Patrick CurryX100.007568925968596248604547614444445320540281750,000$
14Alex KileX100.0070736364735354495046485746444453185302912,295,000$
15Alex GallantX100.0060684165685254485045445642555549205203112,280,000$
16Cedric LacroixX100.0061684561685152485046445442444449195102912,246,000$
17Timothy LiljegrenX100.0082448680727482642557528025616261257002411,008,000$
18Matt GrzelcykX100.0069418983617291622565486625687161326703012,322,000$
19Kaedan Korczak (R)X100.007173677575667149254041573947475042590231753,793$
20Xavier Bernard (R)X100.007877807179545743253140603846464712570242887,706$
Équipe Mineure
1Cooper Marody (R)XX100.0072678366676666688068666160474762406202721,448,000$
2Laurent DauphinX100.0071438670695780628452606925595859646102911,165,000$
3Jamieson Rees (R)X100.006465616667757964786462585646465970610231974,322$
4Brian Pinho (R)XX100.0072649266646060627561606054474758645902821,412,000$
5Cristiano DiGiacintoX96.0067666669665759545054515544464651645502812,310,000$
6Curtis Hall (R)X99.008176917278596347594446614347465151550231922,741$
7Cameron HebigXXX100.007265896365606350644650574847465234540271888,137$
8Daniel D'Amato (R)X99.0073669468686063494949445742464651575402212,310,000$
9Jacob Hayhurst (R)X100.0067589165586165486147455644454552415302712,295,000$
10Erik BradfordX100.007468936468576044583944584446465136520291750,000$
11Kyle Betts (R)X100.0074689366685659455841445743464650405202612,291,000$
12Vincent Desharnais (R)X100.007859766482637561255451822550505750650271830,350$
13Jakub ZborilX100.0078449278746243572552527675616158346402711,414,000$
14Samuel Bolduc (R)X100.007945966782658266254554632548485853630231958,337$
15Luke Martin (R)X100.007979816679616451254741623847465155590253750,000$
16Declan Carlile (R)X100.007571847273575951254245614346465346580232829,000$
17Tobie Paquette-Bisson (R)X100.0074738266736874492540416039474650635802721,043,000$
18Viktor Lodin (R)XX83.617475676877484663756062615547465760590242777,686$
19Riley McKay (R)X100.0059732567735759515050475245444450195202512,288,000$
20Ian McKinnonX100.0061723662724748465842455343444448204902612,243,000$
21Nathan Clurman (R)X95.337776836776697548254041603847475050590253925,000$
22Tyson EmpeyXXX100.0067725662725052464535415439454548205202812,280,000$
MOYENNE D’ÉQUIPE100.00736678697157645449505262425353562558
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jean-Francois Berube100.004747596646464952495030484848475103212,258,000$
2Strauss Mann (R)100.004746586247474952495030454448215002512,246,000$
Rayé
1Mads Sogaard (R)96.00625856866754696064607547476044620231976,287$
Équipe Mineure
1Isaac Poulter (R)100.005054686747525559524830474746875402211,000,000$
2Dylan Wells (R)100.00484151724947505349493045444780510262787,992$
MOYENNE D’ÉQUIPE98.6752505871534956555453454746523754
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Zettler47537348454652CAN5421,100,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Cody GlassFlyersC63395089-222751141363399120511.50%46136421.67712193414711281782051.25%21255921021.3033001641
2Philipp KurashevFlyersC/LW/RW63394079-2395847733611321211.61%37118318.791161748149000025239.29%1124920111.3303010633
3Nicolas PetanFlyersC/LW/RW63263157-2758108469261781779.96%3997215.44561115110000021144.06%1434521001.1700011201
4Denis MalginFlyersLW/RW63212950-60067681887310511.17%3582213.05000000006611232.11%1093824001.2200000142
5Nils HoglanderFlyersLW/RW63192746-104052701465410313.01%2987713.94000291015892040.56%1803714001.0500000122
6Matt NietoFlyersLW/RW63172845-271358389156508210.90%45134421.342681714311261800041.67%1323440000.6722100010
7Timothy LiljegrenFlyersD6352934-52621010814413564623.70%136166426.41134231550007167200%02462000.4100011011
8Chris TierneyFlyersC63111425-3455727916254816.79%33102216.2222410700112691050.00%1782121000.4900100021
9Maxime ComtoisFlyersLW6312921-175410977495334712.63%3184013.341345440002190137.70%3131022000.5000200000
10Matt GrzelcykFlyersD6311920-11200461079437421.06%90124019.690446800113122000%01635000.3200000000
11Sam LaffertyFlyersC/LW/RW7591019-245157866119391027.56%2780010.67000042026941140.00%55279000.4701111020
12Mitchell Vande SompelFlyersD6801717-26903077896226220%97137220.1804481030001131000%0936000.2500123001
13Dmitri OsipovFlyersD4611314-151274560614017202.50%5090919.77101465022097000%0136000.3100153000
14Jeremy GroleauFlyersD4801414-20371531373630200%4875115.65000223000240000%0220000.3700021000
15Klim KostinFlyersLW/RW625813-185620442710124534.95%105098.21000031011140038.12%1812412000.5100211000
16Gabriel DumontFlyersC/RW635813-19532536386939697.25%95268.3500017000061051.11%45137000.4913131010
17Xavier BernardFlyersD6711213-26441067637132361.41%89121218.090114510002118000%0844000.2100020000
18Michael PezzettaFlyersLW/RW638513-24315644769256211.59%155679.01000000000620229.55%44208010.4611001100
19Kaedan KorczakFlyersD2811213-35501058546322271.59%5673426.23022974011361100%0724000.3500011001
20Santino CentorameFlyersD2911011-1417151133201095.00%3953218.37011132000155000%0211000.4112201000
21Tristan MullinFlyersC/LW11448-31210101231132112.90%517415.8800006000040034.78%2370000.9200110100
22Alex KileFlyersLW10167-101552722548251.85%318718.750002130001180051.72%2961000.7500001000
23Morgan Adams-MoisanFlyersRW11437-5100168188822.22%314012.7800000000000050.00%841011.0000000010
24Zach SolowFlyersC/RW11437-915513102462016.67%917515.92000213000010043.75%1614000.8000100000
25Patrick CurryFlyersC10437-617510253282112.50%521721.750002131012340037.77%27813000.6400001000
26Logan NijhoffFlyersC/LW11437-300102231131412.90%816915.3700000000000046.32%9564000.8300000001
27Anthony VincentFlyersC/LW/RW11527-67515215111239.80%522820.770001140001290057.89%191010000.6100010101
28Drew WorradFlyersC9336-80061922101313.64%617319.230001130001231033.33%15905000.6900000010
29Riley BezeauFlyersRW11325-31352682982510.34%619217.49000116000000027.78%18101000.5200010001
30Alex GallantFlyersLW7202-3404760233.33%2517.3000002000011010%011000.7800000000
31Jakub ZborilPhantoms (PHI)D4022-100444320%07418.640000400007000%003000.5400000000
32Samuel BolducPhantoms (PHI)D4112-1000122050.00%25413.510000000000000%002000.7400000000
33Ryan MacKinnonFlyersD13011-1310103106440%1418113.970000300008000%008000.1100011000
34Nathan ClurmanPhantoms (PHI)D4011-100630100%55513.860000000002000%013000.3600000000
35Tyson EmpeyPhantoms (PHI)C/LW/D3011-529151175130%56421.3300005000010048.08%5211000.3100102000
36Vincent DesharnaisPhantoms (PHI)D4011-175555310%67418.640001400006000%004000.2700010000
37Sean JoslingFlyersC/RW11000-2100572020%1777.0900002000080027.27%110000000000000
38Cedric LacroixFlyersLW5000-100400000%081.790000000002000%00000000000000
39Jake GaudetFlyersC2000-420221010%42311.9500000000000030.00%100000000000000
40Carson GicewiczFlyersC1000-100110010%099.2700000000000025.00%41000000000000
41Ryan FitzgeraldFlyersC/LW11000-300259330%0625.6400000000000027.27%111000000000000
42Ben CopelandFlyersC1000-100112120%31919.9800001000000033.33%210200000000000
Statistiques d’équipe totales ou en moyenne1344256421677-518953305151416282896101417278.84%10532166316.1230508019913947714601740181045.46%4371496540150.63815152521192216
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mads SogaardFlyers49132830.8825.0626090022018681092100.6676484402
2Jean-Francois BerubeFlyers276920.8695.29114620101769489100.83361559000
3Strauss MannFlyers1511200.8596.19708007351629700001111000
Statistiques d’équipe totales ou en moyenne91204950.8755.304463203943153187820127474402


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex GallantFlyersLW311992-12-08No185 Lbs6 ft0NoNoNoNo1Pro & Farm2,280,000$508,760$2,280,000$508,760$2,280,000$508,760$NoLien / Lien NHL
Alex KileFlyersLW291994-07-09No201 Lbs6 ft0NoNoNoYes1Pro & Farm2,295,000$512,107$2,295,000$512,107$2,295,000$512,107$NoLien
Anthony VincentFlyersC/LW/RW261997-08-12Yes190 Lbs6 ft0NoNoNoNo1Pro & Farm2,280,000$508,760$2,280,000$508,760$2,280,000$508,760$NoLien
Ben CopelandFlyersC241999-04-27Yes185 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$167,355$750,000$167,355$750,000$167,355$NoLien
Carson GicewiczFlyersC271997-03-04No212 Lbs6 ft3NoNoNoNo1Pro & Farm2,295,000$512,107$2,295,000$512,107$2,295,000$512,107$NoLien
Cedric LacroixFlyersLW291994-11-03No181 Lbs6 ft1NoNoNoNo1Pro & Farm2,246,000$501,174$2,246,000$501,174$2,246,000$501,174$NoLien
Chris TierneyFlyersC291994-06-30No195 Lbs6 ft1NoNoNoYes1Pro & Farm2,999,500$669,310$2,999,500$669,310$2,999,500$669,310$NoLien / Lien NHL
Cody GlassFlyersC241999-04-01No192 Lbs6 ft2NoNoNoNo2Pro & Farm1,408,000$314,182$781,000$174,273$1,408,000$314,182$No1,408,000$Lien
Denis MalginFlyersLW/RW271997-01-18No177 Lbs5 ft9NoNoNoYes1Pro & Farm1,000,000$223,140$750,000$167,355$1,000,000$223,140$NoLien
Dmitri OsipovFlyersD271996-10-04No193 Lbs6 ft4NoNoNoYes3Pro & Farm909,000$202,835$909,000$202,835$909,000$202,835$No909,000$909,000$Lien
Drew WorradFlyersC261997-06-30No185 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$167,355$750,000$167,355$750,000$167,355$NoLien
Gabriel DumontFlyersC/RW331990-10-06No195 Lbs5 ft10NoNoNoYes1Pro & Farm1,160,000$258,843$1,160,000$258,843$1,160,000$258,843$NoLien / Lien NHL
Jake GaudetFlyersC271996-06-18No201 Lbs6 ft2NoNoNoNo1Pro & Farm2,295,000$512,107$2,295,000$512,107$2,295,000$512,107$NoLien
Jean-Francois BerubeFlyersG321991-07-13No177 Lbs6 ft1NoNoNoYes1Pro & Farm2,258,000$503,851$2,258,000$503,851$2,258,000$503,851$NoLien / Lien NHL
Jeremy GroleauFlyersD241999-10-25Yes183 Lbs6 ft2NoNoNoNo1Pro & Farm878,000$195,917$878,000$195,917$878,000$195,917$NoLien
Kaedan KorczakFlyersD232001-01-29Yes192 Lbs6 ft3NoNoNoNo1Pro & Farm753,793$168,202$753,793$168,202$753,793$168,202$NoLien
Klim KostinFlyersLW/RW241999-05-05No212 Lbs6 ft3NoNoNoNo2Pro & Farm926,155$206,663$926,155$206,663$926,155$206,663$No926,155$Lien
Logan NijhoffFlyersC/LW222001-06-23Yes187 Lbs6 ft0NoNoNoNo1Pro & Farm2,265,000$505,413$2,265,000$505,413$2,265,000$505,413$NoLien
Mads SogaardFlyersG232000-12-13Yes199 Lbs6 ft8NoNoNoNo1Pro & Farm976,287$217,849$976,287$217,849$976,287$217,849$NoLien
Matt GrzelcykFlyersD301994-01-05No174 Lbs5 ft9NoNoNoYes1Pro & Farm2,322,000$518,132$1,972,000$440,033$2,322,000$518,132$NoLien / Lien NHL
Matt NietoFlyersLW/RW311992-05-11No185 Lbs5 ft11NoNoNoYes3Pro & Farm3,000,000$669,421$3,000,000$669,421$3,000,000$669,421$No3,000,000$3,000,000$Lien / Lien NHL
Maxime ComtoisFlyersLW241999-08-01No214 Lbs6 ft2NoNoNoNo2Pro & Farm3,040,000$678,347$3,040,000$678,347$3,040,000$678,347$No3,040,000$Lien / Lien NHL
Michael PezzettaFlyersLW/RW261998-03-13No216 Lbs6 ft1NoNoNoYes2Pro & Farm926,000$206,628$926,000$206,628$926,000$206,628$No926,000$Lien / Lien NHL
Mitchell Vande SompelFlyersD271997-02-11No198 Lbs5 ft11NoNoNoYes1Pro & Farm914,356$204,030$914,356$204,030$914,356$204,030$NoLien
Morgan Adams-MoisanFlyersRW271997-02-06No216 Lbs6 ft2NoNoNoYes1Pro & Farm2,243,000$500,504$2,243,000$500,504$2,243,000$500,504$NoLien
Nicolas PetanFlyersC/LW/RW291995-03-22No175 Lbs5 ft9NoNoNoYes1Pro & Farm800,000$178,512$800,000$178,512$800,000$178,512$NoLien / Lien NHL
Nils HoglanderFlyersLW/RW232000-12-20No185 Lbs5 ft9NoNoNoNo1Pro & Farm891,667$198,967$891,667$198,967$891,667$198,967$NoLien
Patrick CurryFlyersC281996-01-09No185 Lbs6 ft0NoNoNoYes1Pro & Farm750,000$167,355$750,000$167,355$750,000$167,355$NoLien
Philipp KurashevFlyersC/LW/RW241999-10-12No190 Lbs6 ft0NoNoNoNo2Pro & Farm946,000$211,091$750,000$167,355$946,000$211,091$No946,000$Lien
Riley BezeauFlyersRW212002-05-04Yes185 Lbs6 ft0NoNoNoNo1Pro & Farm2,288,000$510,545$2,288,000$510,545$2,288,000$510,545$NoLien
Ryan FitzgeraldFlyersC/LW291994-10-19No172 Lbs5 ft9NoNoNoYes1Pro & Farm1,165,000$259,959$750,000$167,355$1,165,000$259,959$NoLien
Ryan MacKinnonFlyersD291994-09-05No190 Lbs6 ft0NoNoNoYes1Pro & Farm2,284,000$509,653$2,284,000$509,653$2,284,000$509,653$NoLien
Sam LaffertyFlyersC/LW/RW291995-03-06No195 Lbs6 ft1NoNoNoYes1Pro & Farm3,000,000$669,421$3,000,000$669,421$3,000,000$669,421$NoLien / Lien NHL
Santino CentorameFlyersD271996-04-28Yes190 Lbs5 ft10NoNoNoNo1Pro & Farm2,280,000$508,760$2,280,000$508,760$2,280,000$508,760$NoLien
Sean JoslingFlyersC/RW251999-03-22No179 Lbs6 ft0NoNoNoYes3Pro & Farm904,000$201,719$904,000$201,719$904,000$201,719$No904,000$904,000$Lien
Strauss MannFlyersG251998-08-18Yes174 Lbs6 ft0NoNoNoNo1Pro & Farm2,246,000$501,174$2,246,000$501,174$2,246,000$501,174$NoLien
Timothy LiljegrenFlyersD241999-04-30No190 Lbs6 ft0NoNoNoNo1Pro & Farm1,008,000$224,926$1,008,000$224,926$1,008,000$224,926$NoLien / Lien NHL
Tristan MullinFlyersC/LW271996-10-09No196 Lbs6 ft2NoNoNoYes1Pro & Farm2,276,000$507,868$2,276,000$507,868$2,276,000$507,868$NoLien
Xavier BernardFlyersD242000-01-06Yes205 Lbs6 ft3NoNoNoNo2Pro & Farm887,706$198,083$887,706$198,083$887,706$198,083$No887,706$Lien
Zach SolowFlyersC/RW251998-11-06No174 Lbs5 ft9NoNoNoYes2Pro & Farm874,000$195,025$874,000$195,025$874,000$195,025$No874,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4026.53191 Lbs6 ft11.331,644,262$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
65,770,464$13,820,861$4,813,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony VincentBen CopelandRiley Bezeau35122
2Tristan MullinDrew WorradZach Solow30122
3Logan NijhoffJake GaudetMorgan Adams-Moisan25122
4Ryan FitzgeraldCarson GicewiczSean Josling10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Groleau40122
2Mitchell Vande SompelDmitri Osipov30122
3Santino CentorameRyan MacKinnon20122
4Jeremy Groleau10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony VincentBen CopelandRiley Bezeau60122
2Tristan MullinDrew WorradZach Solow40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Groleau60122
2Mitchell Vande SompelDmitri Osipov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben CopelandAnthony Vincent60122
2Drew WorradTristan Mullin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Groleau60122
2Mitchell Vande SompelDmitri Osipov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ben Copeland60122Jeremy Groleau60122
2Drew Worrad40122Mitchell Vande SompelDmitri Osipov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben CopelandAnthony Vincent60122
2Drew WorradTristan Mullin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Groleau60122
2Mitchell Vande SompelDmitri Osipov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony VincentBen CopelandRiley BezeauJeremy Groleau
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony VincentBen CopelandRiley BezeauJeremy Groleau
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Gaudet, Carson Gicewicz, Tristan MullinJake Gaudet, Carson GicewiczJake Gaudet
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Osipov, Santino Centorame, Ryan MacKinnonDmitri OsipovDmitri Osipov, Santino Centorame
Tirs de pénalité
Ben Copeland, Anthony Vincent, Riley Bezeau, Drew Worrad, Jake Gaudet
Gardien
#1 : Strauss Mann, #2 : Jean-Francois Berube
Lignes d’attaque personnalisées en prolongation
Ben Copeland, Anthony Vincent, Riley Bezeau, Drew Worrad, Jake Gaudet, Carson Gicewicz, Carson Gicewicz, Tristan Mullin, Logan Nijhoff, Zach Solow, Ryan Fitzgerald
Lignes de défense personnalisées en prolongation
, Jeremy Groleau, Mitchell Vande Sompel, Dmitri Osipov, Santino Centorame


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche2010010058-31010000024-21000010034-110.2505914002210773122231772739357342.86%8187.50%0823185944.27%744167844.34%591131944.81%402347173416
2Blackhawks211000001495110000009271010000057-220.5001424380057208429361909131848200.00%4175.00%0823185944.27%744167844.34%591131944.81%412343173516
3Blue Jackets604001102634-8302001001216-4302000101418-430.2502640660031393229707880723868521401218.33%26484.62%0823185944.27%744167844.34%591131944.81%112581406111251
4Blues20200000414-101010000026-41010000028-600.000471100220073252820088265337500.00%9544.44%0823185944.27%744167844.34%591131944.81%341850193515
5Bruins20200000817-91010000079-21010000018-700.00081321002330752224290772752415120.00%11463.64%0823185944.27%744167844.34%591131944.81%361946203616
6Canadiens20100100911-21000010056-11010000045-110.2509152400342068163021199342443800.00%7185.71%1823185944.27%744167844.34%591131944.81%351747203818
7Capitals523000001721-432100000119220200000612-640.40017264300377018976565702287941879222.22%13192.31%0823185944.27%744167844.34%591131944.81%9051123468537
8Coyotes211000009901010000023-11100000076120.50091423003330892835260844229396233.33%7185.71%0823185944.27%744167844.34%591131944.81%422341183618
9Devils40301000819-1130201000715-81010000014-320.25081119002231165534962117367398710220.00%12283.33%0823185944.27%744167844.34%591131944.81%764294376832
10Ducks1010000036-31010000036-30000000000000.000347001020397112104583122400.00%30100.00%0823185944.27%744167844.34%591131944.81%1562411198
11Flames20200000613-71010000026-41010000047-300.00061016000600692431140852820435240.00%5260.00%0823185944.27%744167844.34%591131944.81%351949183515
12Golden Knights10100000510-510100000510-50000000000000.000571200140047191810046910242150.00%5180.00%0823185944.27%744167844.34%591131944.81%189229187
13Islanders40400000931-2230300000720-1310100000211-900.000914230023401483657550191794975500.00%13192.31%1823185944.27%744167844.34%591131944.81%6332106406930
14Jets20200000916-71010000049-51010000057-200.00091524004230893333230833416317114.29%3166.67%0823185944.27%744167844.34%591131944.81%432542183316
15Kings2100010012111110000006421000010067-130.75012193100165081222732010635143811100.00%70100.00%1823185944.27%744167844.34%591131944.81%362053183314
16Maple Leafs20101000911-21010000036-31000100065120.50091726001341892525354882420354250.00%100100.00%0823185944.27%744167844.34%591131944.81%341750213815
17Oilers21100000810-21010000028-61100000062420.50081220003230874119270602716509333.33%30100.00%0823185944.27%744167844.34%591131944.81%432337193919
18Panthers220000001266110000005231100000074341.0001219310012909115324406625344310330.00%7357.14%0823185944.27%744167844.34%591131944.81%381940204018
19Penguins3110001012931010000034-12100001095440.6671218300035321194540308131518774700.00%11281.82%0823185944.27%744167844.34%591131944.81%643360296031
20Predators1010000047-3000000000001010000047-300.00045900103031128110451410153133.33%50100.00%1823185944.27%744167844.34%591131944.81%1682510187
21Rangers614000102432-8303000001018-8311000101414040.3332438620089622489390634250764512219315.79%20765.00%0823185944.27%744167844.34%591131944.81%119661375710751
22Red Wings2010010079-21010000023-11000010056-110.2507111800520084323020290298433133.33%40100.00%0823185944.27%744167844.34%591131944.81%382249183515
23Sabres31200000913-420200000310-71100000063320.3339172600342012853413401104739554125.00%12558.33%0823185944.27%744167844.34%591131944.81%583364295625
24Senators30300000715-81010000025-320200000510-500.000712190023201182157400141372161300.00%8275.00%0823185944.27%744167844.34%591131944.81%502674285425
25Sharks2110000057-2110000003121010000026-420.500581300131089312731083242036800.00%5260.00%0823185944.27%744167844.34%591131944.81%382145193517
26Stars2110000048-4110000003211010000016-520.5004610001210802329280982928403133.33%14285.71%1823185944.27%744167844.34%591131944.81%361949193314
27Whalers523000002226-420200000610-4321000001616040.40022355700311802155676830204624110913215.38%19194.74%0823185944.27%744167844.34%591131944.81%9249115489243
28Wild20200000412-81010000035-21010000017-600.00045900031062242513076278757500.00%60100.00%1823185944.27%744167844.34%591131944.81%402142183717
Total74154902530271394-1233972901200129199-703582001330142195-53450.304271431702006611387929639621034951283153106693315301793318.44%2574980.93%6823185944.27%744167844.34%591131944.81%139775617297191341621
_Since Last GM Reset74154902530271394-1233972901200129199-703582001330142195-53450.304271431702006611387929639621034951283153106693315301793318.44%2574980.93%6823185944.27%744167844.34%591131944.81%139775617297191341621
_Vs Conference4993202330179254-75263200120083133-50236120113096121-25310.316179286465004171629196661368565327208670555210151121816.07%1733380.92%2823185944.27%744167844.34%591131944.81%9134911154480896413
_Vs Division3362201130118172-5418214011005692-361548000306280-18210.3181181823000024504081313429446430201415482354694751013.33%1141884.21%1823185944.27%744167844.34%591131944.81%620334779321596277

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7445L1271431702296331531066933153000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7415492530271394
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
397291200129199
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
358201330142195
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1793318.44%2574980.93%6
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
96210349512866113879
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
823185944.27%744167844.34%591131944.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
139775617297191341621


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
16Flyers4Rangers2AWSommaire du match
224Capitals2Flyers4BWSommaire du match
337Whalers7Flyers5BLSommaire du match
460Blackhawks2Flyers9BWSommaire du match
573Flyers2Islanders11ALSommaire du match
680Flyers5Capitals6ALSommaire du match
8106Whalers3Flyers1BLSommaire du match
10122Flyers1Devils4ALSommaire du match
11138Islanders6Flyers4BLSommaire du match
12156Flyers6Oilers2AWSommaire du match
13164Flyers3Blue Jackets6ALSommaire du match
14178Penguins4Flyers3BLSommaire du match
15199Devils8Flyers2BLSommaire du match
16214Flyers4Penguins1AWSommaire du match
18229Blue Jackets5Flyers4BLSommaire du match
20253Devils3Flyers4BWXSommaire du match
21259Flyers6Whalers4AWSommaire du match
22279Flyers7Whalers10ALSommaire du match
23290Sabres3Flyers1BLSommaire du match
25314Flyers4Predators7ALSommaire du match
26324Blue Jackets4Flyers3BLXSommaire du match
27345Rangers4Flyers3BLSommaire du match
28355Flyers8Rangers7AWXXSommaire du match
29378Sabres7Flyers2BLSommaire du match
30386Flyers7Panthers4AWSommaire du match
31408Blues6Flyers2BLSommaire du match
32421Flyers3Senators5ALSommaire du match
33436Flyers6Blue Jackets8ALSommaire du match
34445Bruins9Flyers7BLSommaire du match
35461Flyers1Wild7ALSommaire du match
37478Stars2Flyers3BWSommaire du match
39503Maple Leafs6Flyers3BLSommaire du match
40515Flyers6Sabres3AWSommaire du match
41532Golden Knights10Flyers5BLSommaire du match
42550Flyers1Capitals6ALSommaire du match
43562Coyotes3Flyers2BLSommaire du match
45575Flyers3Avalanche4ALXSommaire du match
46593Devils4Flyers1BLSommaire du match
47611Flyers6Maple Leafs5AWXSommaire du match
49626Flyers1Stars6ALSommaire du match
50638Wild5Flyers3BLSommaire du match
52656Senators5Flyers2BLSommaire du match
53669Flyers5Red Wings6ALXSommaire du match
54691Jets9Flyers4BLSommaire du match
55701Flyers5Blackhawks7ALSommaire du match
56722Islanders5Flyers2BLSommaire du match
57732Flyers4Canadiens5ALSommaire du match
58747Kings4Flyers6BWSommaire du match
60775Flyers2Senators5ALSommaire du match
61786Oilers8Flyers2BLSommaire du match
63809Panthers2Flyers5BWSommaire du match
64818Flyers4Flames7ALSommaire du match
65834Flyers3Whalers2AWSommaire du match
66846Ducks6Flyers3BLSommaire du match
68871Capitals4Flyers2BLSommaire du match
69876Flyers2Rangers5ALSommaire du match
70903Canadiens6Flyers5BLXSommaire du match
71919Flyers7Coyotes6AWSommaire du match
73934Rangers8Flyers3BLSommaire du match
74945Flyers1Bruins8ALSommaire du match
75961Flyers6Kings7ALXSommaire du match
76969Capitals3Flyers5BWSommaire du match
77990Blue Jackets7Flyers5BLSommaire du match
801023Rangers6Flyers4BLSommaire du match
821045Flyers5Penguins4AWXXSommaire du match
831056Sharks1Flyers3BWSommaire du match
851073Flyers2Blues8ALSommaire du match
861087Flames6Flyers2BLSommaire du match
871103Flyers5Jets7ALSommaire du match
881114Avalanche4Flyers2BLSommaire du match
901128Flyers2Sharks6ALSommaire du match
921148Islanders9Flyers1BLSommaire du match
931163Flyers5Blue Jackets4AWXXSommaire du match
941179Red Wings3Flyers2BLSommaire du match
961205Flyers-Capitals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971209Flyers-Islanders-
981220Canucks-Flyers-
991240Whalers-Flyers-
1011255Flyers-Devils-
1021268Flyers-Canucks-
1031275Lightning-Flyers-
1041284Flyers-Devils-
1051294Flyers-Lightning-
1061307Penguins-Flyers-
1081332Flyers-Ducks-
1101338Penguins-Flyers-
1111340Flyers-Golden Knights-
1161370Predators-Flyers-
1171373Flyers-Penguins-
1181385Flyers-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets75403020300
Assistance224,224189,25774,895148,04223,400
Attendance PCT95.82%97.05%96.02%94.90%60.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 16918 - 93.99% 1,398,872$54,556,011$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
50,380,638$ 65,770,464$ 63,932,464$ 0$ 2,250,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
543,558$ 49,526,089$ 0$ 40 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
8,393,232$ 27 552,648$ 14,921,496$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
15,659,100$ 72,112,165$ 65,450,783$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
66,452,155$ 8,047,845$ 74,500,000$ 7,952,155$



Charte de profondeur

Ailier gaucheCentreAilier droit
Philipp KurashevAGE:24PO:67OV:70
Sam LaffertyAGE:29PO:70OV:69
Matt NietoAGE:31PO:68OV:68
Nicolas PetanAGE:29PO:66OV:66
Denis MalginAGE:27PO:68OV:65
Maxime ComtoisAGE:24PO:65OV:65
Nils HoglanderAGE:23PO:64OV:65
Klim KostinAGE:24PO:66OV:64
Michael PezzettaAGE:26PO:63OV:63
Viktor Lodin (R)AGE:24PO:57OV:59
Cristiano DiGiacintoAGE:28PO:51OV:55
Cameron HebigAGE:27PO:52OV:54
Alex KileAGE:29PO:53OV:53
Anthony Vincent (R)AGE:26PO:51OV:53
Logan Nijhoff (R)AGE:22PO:51OV:52
Tristan MullinAGE:27PO:50OV:52
Riley McKay (R)AGE:25PO:50OV:52
Alex GallantAGE:31PO:49OV:52
Tyson EmpeyAGE:28PO:48OV:52
Ryan FitzgeraldAGE:29PO:52OV:51
Cedric LacroixAGE:29PO:49OV:51
Cody GlassAGE:24PO:70OV:73
Philipp KurashevAGE:24PO:67OV:70
Sam LaffertyAGE:29PO:70OV:69
Nicolas PetanAGE:29PO:66OV:66
Chris TierneyAGE:29PO:64OV:66
Cooper Marody (R)AGE:27PO:62OV:62
Gabriel DumontAGE:33PO:63OV:61
Laurent DauphinAGE:29PO:59OV:61
Jamieson Rees (R)AGE:23PO:59OV:61
Brian Pinho (R)AGE:28PO:58OV:59
Viktor Lodin (R)AGE:24PO:57OV:59
Curtis Hall (R)AGE:23PO:51OV:55
Patrick CurryAGE:28PO:53OV:54
Ben Copeland (R)AGE:24PO:53OV:54
Cameron HebigAGE:27PO:52OV:54
Jake GaudetAGE:27PO:53OV:53
Carson GicewiczAGE:27PO:53OV:53
Drew WorradAGE:26PO:52OV:53
Jacob Hayhurst (R)AGE:27PO:52OV:53
Anthony Vincent (R)AGE:26PO:51OV:53
Erik BradfordAGE:29PO:51OV:52
Logan Nijhoff (R)AGE:22PO:51OV:52
Tristan MullinAGE:27PO:50OV:52
Kyle Betts (R)AGE:26PO:50OV:52
Tyson EmpeyAGE:28PO:48OV:52
Ryan FitzgeraldAGE:29PO:52OV:51
Zach SolowAGE:25PO:51OV:51
Ian McKinnonAGE:26PO:48OV:49
Sean JoslingAGE:25PO:46OV:48
Philipp KurashevAGE:24PO:67OV:70
Sam LaffertyAGE:29PO:70OV:69
Matt NietoAGE:31PO:68OV:68
Nicolas PetanAGE:29PO:66OV:66
Denis MalginAGE:27PO:68OV:65
Nils HoglanderAGE:23PO:64OV:65
Klim KostinAGE:24PO:66OV:64
Michael PezzettaAGE:26PO:63OV:63
Cooper Marody (R)AGE:27PO:62OV:62
Gabriel DumontAGE:33PO:63OV:61
Brian Pinho (R)AGE:28PO:58OV:59
Cameron HebigAGE:27PO:52OV:54
Daniel D'Amato (R)AGE:22PO:51OV:54
Riley Bezeau (R)AGE:21PO:51OV:53
Anthony Vincent (R)AGE:26PO:51OV:53
Zach SolowAGE:25PO:51OV:51
Morgan Adams-MoisanAGE:27PO:48OV:50
Sean JoslingAGE:25PO:46OV:48

Défense #1Défense #2Gardien
Timothy LiljegrenAGE:24PO:61OV:70
Matt GrzelcykAGE:30PO:61OV:67
Vincent Desharnais (R)AGE:27PO:57OV:65
Jakub ZborilAGE:27PO:58OV:64
Samuel Bolduc (R)AGE:23PO:58OV:63
Luke Martin (R)AGE:25PO:51OV:59
Nathan Clurman (R)AGE:25PO:50OV:59
Kaedan Korczak (R)AGE:23PO:50OV:59
Declan Carlile (R)AGE:23PO:53OV:58
Tobie Paquette-Bisson (R)AGE:27PO:50OV:58
Xavier Bernard (R)AGE:24PO:47OV:57
Mitchell Vande SompelAGE:27PO:51OV:56
Jeremy Groleau (R)AGE:24PO:49OV:56
Dmitri OsipovAGE:27PO:47OV:55
Santino Centorame (R)AGE:27PO:48OV:54
Ryan MacKinnonAGE:29PO:49OV:53
Tyson EmpeyAGE:28PO:48OV:52
Mads Sogaard (R)AGE:23PO:60OV:62
Isaac Poulter (R)AGE:22PO:46OV:54
Jean-Francois BerubeAGE:32PO:48OV:51
Dylan Wells (R)AGE:26PO:47OV:51
Strauss Mann (R)AGE:25PO:48OV:50

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam BurishFlyers
Adam GajanFlyers202331
Aku KoskenvuoFlyers2021144
Albert LyckasenFlyers2020199
Alex D'OrioFlyersLien
Alex Kannok-LeipertFlyersLien
Alex O'NeilFlyers
Alexander KadeykinFlyers2014201
Alexei MelnichukFlyersLien
Andreas WingerliFlyersLien
Andrei PopovFlyers
Andrew O'BrienFlyers
Angus MacDonellFlyers2023156
Anton CederholmFlyers
Antti NiemiFlyers
Arvid HenriksonFlyers2016190
Axel BergkvistFlyers2019206
Axel HurtigFlyers2023217
Benn OlsonFlyers
Blaine ByronFlyersLien
Blair BettsFlyers
Bogdan TrineyevFlyers2020119
Brady ClevelandFlyers202356
Brendan RanfordFlyers
Brian O'NeillFlyers
Brian StewartFlyers
Bryan LergFlyers
Cal ThomasFlyers2021175
Cameron AllenFlyers202394
Carter GylanderFlyers2019200
Casey NelsonFlyersLien
Coda GordonFlyers2012129
Cole FraserFlyers2017108
Colton OrrFlyers
Connor BedardFlyers20231
Dalton ThrowerFlyers201247
Dan DaSilvaFlyers
Danny TaylorFlyers
Dave BollandFlyers
David SpacekFlyers2022144
Denis BodrovFlyers
Dov Grumet-MorrisFlyers
Ed WittchowFlyers
Eric RoyFlyers
Ethan MoreauFlyers
Felix Unger SorumFlyers202349
Flyers CapmanFlyers
Garrett KlotzFlyers
Giorgio EstephanFlyers2015157Lien
Hunter BrzustewiczFlyers202363
Ian LaperriereFlyers
Jakub DvorakFlyers202362
Jakub KovarFlyers
Jan DrozgFlyers2017159Lien
Jarome IginlaFlyers
Jayden HalbgewachsFlyersLien
Jhonas EnrothFlyers
Johan BacklundFlyers
John PerssonFlyers
Jon KalinskiFlyers
Jonas HillerFlyers
Jonatan NielsenFlyers2012203
Jonathon Ismeal DiabyFlyers
Joonas LehtivuoriFlyers
Joseph GarreffaFlyersLien
Josh GorgesFlyers
Josh JoorisFlyers
Justin KloosFlyersLien
Keith AulieFlyers
Kelsey TessierFlyers
Kevin MarshallFlyers
Kimmo TimonenFlyers
Leevi AaltonenFlyers2019138
Luca CagnoniFlyers202393
Lucas FeukFlyers2019122
Ludwig KarlssonFlyers
Luke MittelstadtFlyers2023187
Luke PitherFlyers
Maksim BerezkinFlyers2020143
Marcel GocFlyers
Marek LanghamerFlyers
Mason RaymondFlyers
Mathieu DarcheFlyers
Matt CalvertFlyersLien
Matt FraserFlyers
Matteo CostantiniFlyers2020136
Matthew BradleyFlyers2015139
Matthew DeblouwFlyers2012180
Matthew ManiaFlyers2023125
Matthew StajanFlyers
Matthew StienburgFlyers201979
Maxime LacroixFlyers
Michael BrodzinskiFlyers
Michael ParksFlyers
Mike CollinsFlyers
Mike FerrantinoFlyers
Mike HalmoFlyers
Mike TestwuideFlyers
Milan JurcinaFlyers
Morgan EllisFlyers
Myles bellFlyers
Nicholas PorcoFlyers2019151
Nick LeivermannFlyers2017190
Nick LuukkoFlyers
Nick PetreckiFlyers
Nicolas KerdilesFlyers
Nikita NesterenkoFlyers2019183
Niklas SvedbergFlyers
Noah ChadwickFlyers2023196
Oliver MooreFlyers202310
Oskars BartulisFlyers
Parker BellFlyers2022161
Pavel NovakFlyers2020148
Ray EmeryFlyers
Ricard BlidstrandFlyers
Rodwin DionicioFlyers2023116
Ryan CulkinFlyersLien
Ryan FaragherFlyers
Ryan HoferFlyers2022192
Ryan RupertFlyers
Ryder KorczakFlyers202183
Scott FordFlyers
Shane HarperFlyers
Sondre OldenFlyers
Stefan LegeinFlyers
Stephen HallidayFlyers2022113
Steve MasonFlyers
THOMAS WILSONFlyers201213
Terrance AmorosaFlyersLien
Tomas MazuraFlyers2019169
Trent HunterFlyers
Trevor DaleyFlyersLien
Troy JosephsFlyers
Tyler HostetterFlyers
Tyler KlevenFlyers202051
Vasily GlotovFlyers2016194
Wade BelakFlyers
Wade MurphyFlyers
William GraberFlyersLien
Zachary BolducFlyers202121
Zack FitzGeraldFlyers
Zack TorquatoFlyers

Choix au repêchage

Année R1R2R3R4R5R6R7
2024
2025
2026
2027
2028



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Flyers Historique de transactions

[2024-03-22 2:06:37 PM] - TRADE : From Flyers to Lightning : Morgan Barron (66).
[2024-03-22 2:06:37 PM] - TRADE : From Lightning to Flyers : Sam Lafferty (69).
[2024-03-11 3:26:06 PM] - TRADE : From Flyers to Islanders : Y:2024-RND:2-NYI.
[2024-03-11 3:26:06 PM] - TRADE : From Islanders to Flyers : Declan Carlile (58), Y:2011-RND:0-, Y:2024-RND:2-NYI.
[2024-03-11 3:24:40 PM] - TRADE : From Flyers to Islanders : Y:2024-RND:2-NYI.
[2024-03-11 3:24:40 PM] - TRADE : From Islanders to Flyers : Declan Carlile (58), Y:2025-RND:5-NYI, Y:2026-RND:2-NYI.



[2024-03-28 1:06:29 PM] Nathan Clurman from Phantoms is back from Left Foot Injury.
[2024-03-28 1:06:29 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-03-28 1:06:28 PM] Farm Game #1188 - Cristiano DiGiacinto from Phantoms has scored a Hat Trick!
[2024-03-28 1:06:28 PM] Game 1188 - Nathan Clurman from Phantoms is injured (Left Foot) and is out for 3 days.
[2024-03-28 1:06:28 PM] Game 1188 - Viktor Lodin from Phantoms is injured (Bruised Right Foot) and is out for 1 week.
[2024-03-28 1:06:20 PM] Auto Lines Partial Function has been run for Flyers.
[2024-03-28 1:06:20 PM] Flyers lines errors : Normal line # 1 C is empty. Normal line # 1 LW is empty. Normal line # 1 RW is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Normal line # 2 C is empty. Normal line # 2 LW is empty. Normal line # 2 RW is empty. Normal line # 2 Defense #2 is empty. Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Normal line # 3 C is empty. Normal line # 3 LW is empty. Normal line # 3 RW is empty. Normal line # 3 Defense #3 is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Normal line # 4 C is empty. Normal line # 4 LW is empty. Normal line # 4 RW is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal line #4 Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. PP line 1 C is empty. PP line 1 LW is empty. PP line 1 RW is empty. PP line 1 Defense #1 is empty. PK line 1 C is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 C is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PK line 1 LW is empty. 4 vs 4 line 1 LW is empty. PK3 line 1 forward is empty. Unknown Player is used twice in PP line#1 Unknown Player is used twice in PP line#1 Unknown Player is used twice in PP line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in PK3 line#1 PP line 2 C is empty. PP line 2 LW is empty. PP line 2 RW is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. PP line 2 Defense #2 is empty. PK line 2 LW is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 LW is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. PK3 line 2 forward is empty. Unknown Player is used twice in PP line#2 Unknown Player is used twice in PP line#2 Unknown Player is used twice in PP line#2 Unknown Player is used twice in PK line#2 Unknown Player is used twice in PK line#2 Unknown Player is used twice in 4 vs 4 line#2 Unknown Player is used twice in 4 vs 4 line#2 Unknown Player is used twice in PK3 line#2 LastMinOff line C is empty. LastMinDef line C is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. LastMinOff line RW is empty. LastMinDef line RW is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Extra Forward #0 is empty. Extra Defense #0 is empty. Extra Forward #1 is empty. Extra Defense #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #2 is empty. Extra Defense #2 is empty. Penalty Shot Player #2 is empty. Extra Forward #3 is empty. Extra Defense #3 is empty. Penalty Shot Player #3 is empty. Extra Forward #4 is empty. Extra Defense #4 is empty. Penalty Shot Player #4 is empty. Extra Forward #5 is empty. Extra Defense #5 is empty. Penalty Shot Player #5 is empty. Unknown Player is used twice in Extra Forward Normal Unknown Player is used twice in Extra Forward Normal Unknown Player is used twice in Extra Forward PP Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense PK Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot OT Forward #1 is empty. OT Forward #2 is empty. OT Forward #3 is empty. OT Forward #4 is empty. OT Forward #5 is empty. OT Forward #6 is empty. OT Forward #7 is empty. OT Forward #8 is empty. OT Forward #9 is empty. Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward OT Defense #1 is empty. OT Defense #4 is empty. OT Defense #5 is empty. Unknown Player is used twice in OT Defense Unknown Player is used twice in OT Defense Starting Goalie is empty.
[2024-03-28 1:06:20 PM] Auto Roster Partial Function has been run for Flyers.
[2024-03-28 1:06:20 PM] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-03-27 12:15:53 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-03-27 12:15:50 PM] Pro Game #1163 - Cody Glass from Flyers has scored a Hat Trick!
[2024-03-27 12:15:42 PM] Auto Lines Partial Function has been run for Flyers.
[2024-03-27 12:15:42 PM] Flyers lines errors : Normal line # 1 C is empty. Normal line # 1 LW is empty. Normal line # 1 RW is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Normal line # 2 C is empty. Normal line # 2 LW is empty. Normal line # 2 RW is empty. Normal line # 2 Defense #2 is empty. Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Normal line # 3 C is empty. Normal line # 3 LW is empty. Normal line # 3 RW is empty. Normal line # 3 Defense #3 is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Normal line # 4 C is empty. Normal line # 4 LW is empty. Normal line # 4 RW is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal line #4 Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. PP line 1 C is empty. PP line 1 LW is empty. PP line 1 RW is empty. PP line 1 Defense #1 is empty. PK line 1 C is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 C is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PK line 1 LW is empty. 4 vs 4 line 1 LW is empty. PK3 line 1 forward is empty. Unknown Player is used twice in PP line#1 Unknown Player is used twice in PP line#1 Unknown Player is used twice in PP line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in PK3 line#1 PP line 2 C is empty. PP line 2 LW is empty. PP line 2 RW is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. PP line 2 Defense #2 is empty. PK line 2 LW is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 LW is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. PK3 line 2 forward is empty. Unknown Player is used twice in PP line#2 Unknown Player is used twice in PP line#2 Unknown Player is used twice in PP line#2 Unknown Player is used twice in PK line#2 Unknown Player is used twice in PK line#2 Unknown Player is used twice in 4 vs 4 line#2 Unknown Player is used twice in 4 vs 4 line#2 Unknown Player is used twice in PK3 line#2 LastMinOff line C is empty. LastMinDef line C is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. LastMinOff line RW is empty. LastMinDef line RW is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Extra Forward #0 is empty. Extra Defense #0 is empty. Extra Forward #1 is empty. Extra Defense #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #2 is empty. Extra Defense #2 is empty. Penalty Shot Player #2 is empty. Extra Forward #3 is empty. Extra Defense #3 is empty. Penalty Shot Player #3 is empty. Extra Forward #4 is empty. Extra Defense #4 is empty. Penalty Shot Player #4 is empty. Extra Forward #5 is empty. Extra Defense #5 is empty. Penalty Shot Player #5 is empty. Unknown Player is used twice in Extra Forward Normal Unknown Player is used twice in Extra Forward Normal Unknown Player is used twice in Extra Forward PP Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense PK Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot OT Forward #1 is empty. OT Forward #2 is empty. OT Forward #3 is empty. OT Forward #4 is empty. OT Forward #5 is empty. OT Forward #6 is empty. OT Forward #7 is empty. OT Forward #8 is empty. OT Forward #9 is empty. Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward OT Defense #1 is empty. OT Defense #4 is empty. OT Defense #5 is empty. Unknown Player is used twice in OT Defense Unknown Player is used twice in OT Defense Starting Goalie is empty.
[2024-03-27 12:15:42 PM] Auto Roster Partial Function has been run for Flyers.
[2024-03-27 12:15:42 PM] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-03-26 1:26:24 PM] Xavier Bernard from Flyers is back from Lower Body Injury.
[2024-03-26 1:26:24 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-03-26 1:26:22 PM] Game 1148 - Xavier Bernard from Flyers is injured (Lower Body) and is out for 3 days.
[2024-03-26 1:26:11 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:198.163.129.1 .
[2024-03-26 1:26:01 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:198.163.129.1 .
[2024-03-25 2:59:52 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-03-22 2:06:51 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-03-22 2:06:42 PM] Auto Lines Partial Function has been run for Flyers.
[2024-03-22 2:06:42 PM] Flyers lines errors : Normal line # 2 C is empty. PP line 2 RW is empty. OT Forward #8 is empty.
[2024-03-22 2:06:37 PM] TRADE : From Flyers to Lightning : Morgan Barron (66).
[2024-03-22 2:06:37 PM] TRADE : From Lightning to Flyers : Sam Lafferty (69).
[2024-03-21 12:54:11 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-03-20 3:48:33 PM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-03-19 9:10:04 PM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-03-18 3:43:23 PM] Nathan Clurman from Phantoms is back from Strained Right Knee Injury.
[2024-03-18 3:43:23 PM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-03-18 3:43:22 PM] Game 1088 - Nathan Clurman from Phantoms is injured (Strained Right Knee) and is out for 1 days.
[2024-03-15 3:10:01 PM] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-03-13 12:19:35 PM] Phantoms lines for next game are empty. Current rosters/lines are not erased.



Viktor Lodin est dehors pour 4 jours à cause de Bruised Right Foot Injury.



Flyers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Matthew Nieto2446086146-272526328355610.79%121386515.846915271231410140.76%00.7622
2Jakub Voracek1806182143-193816818750812.01%68318517.7015183361303710540.64%40.9005
3Anders Lee1775569124-214323016945712.04%55300216.96915244021383345.02%20.8316
4Nicklas Backstrom874378121152412519033112.99%53189521.798233146134107356.99%11.2806
5Travis Konecny87496211120531558934914.04%44187021.5011203161101311438.46%11.1926

Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Kaapo Kahkonen129545490.8883.47692825401358819731220.66715
2Mikko Koskinen44241330.8973.122404201251214572620.86715
3Mads Sogaard58133330.8795.1329224025020621210110.6676
4James Reimer349920.8913.5114182083761396211.0004
5Jean-Francois Berube276920.8695.29114620101769489100.8336

Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
202090423205533298292645191904201144150-6452313013321541421210829848177934661111138277182895795847277295478318202995418.06%3135781.79%81068201553.00%1061201252.73%680137049.64%1897105718948561650811
202190354601422305338-3345212100111156152445142501311149186-378230548979421661399752905892104995130285890964918642774917.69%3116977.81%6982190051.68%919178851.40%729139652.22%1897105918628511671822
202292116903414233440-2074683101213119210-914633802201114230-1163823337560830539086924986888928915131151061138215692405121.25%3649274.73%7750175742.69%817182544.77%605140543.06%149967222219621831859
202374154902530271394-1233972901200129199-703582001330142195-5345271431702006611387929639621034951283153106693315301793318.44%2574980.93%6823185944.27%744167844.34%591131944.81%139775617297191341621
Total Saison régulière346103196011189911071464-3571755510006725548711-1631714896051174559753-1942731107177628838525145338331111373370393237511561189839903747678399518718.79%124526778.55%273623753148.11%3541730348.49%2605549047.45%669235467706338964943114
Séries éliminatoires
20201257000003743-6523000001820-2734000001923-41037619800912142439125141150234061348823733927.27%391269.23%017629459.86%15629652.70%8918947.09%261155273112212101
Total Séries éliminatoires1257000003743-6523000001820-2734000001923-41037619800912142439125141150234061348823733927.27%391269.23%017629459.86%15629652.70%8918947.09%261155273112212101

Flyers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1126713-1030224912.24%528423.67246700010158.76%00.9200
212391222109387.89%219516.27123300001060.00%01.2300
3123710221221329.38%221217.71011200020051.35%00.9400
41273102102072924.14%520417.08101100000028.57%00.9800
512369-181313545.56%427923.26123500010016.67%00.6400

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1115410.9053.0367400343591652000
220200.8097.407300947170000