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Connexion

Flyers
GP: 68 | W: 21 | L: 45 | OTL: 2 | P: 44
GF: 256 | GA: 376 | PP%: 16.18% | PK%: 78.81%
DG: Shareem Mallick | Morale : 21 | Moyenne d’équipe : 62
Prochains matchs #1055 vs Blue Jackets

Centre de jeu
Blues
37-25-6, 80pts
8
1 Flyers
21-45-2, 44pts
Team Stats
L1SéquenceL4
19-13-2Fiche domicile9-23-2
18-12-4Fiche visiteur12-22-0
4-6-0Derniers 10 matchs3-7-0
4.56Buts par match 3.76
4.16Buts contre par match 5.53
20.00%Pourcentage en avantage numérique16.18%
85.96%Pourcentage en désavantage numérique78.81%
Flyers
21-45-2, 44pts
1
4 Stars
38-25-6, 82pts
Team Stats
L4SéquenceW1
9-23-2Fiche domicile20-12-2
12-22-0Fiche visiteur18-13-4
3-7-0Derniers 10 matchs6-4-0
3.76Buts par match 4.13
5.53Buts contre par match 3.83
16.18%Pourcentage en avantage numérique17.98%
78.81%Pourcentage en désavantage numérique84.56%
Flyers
21-45-2, 44pts
Jour 89
Blue Jackets
41-14-9, 91pts
Statistiques d’équipe
L4SéquenceW3
9-23-2Fiche domicile22-6-6
12-22-0Fiche visiteur19-8-3
3-7-010 derniers matchs7-3-0
3.76Buts par match 4.11
5.53Buts contre par match 4.11
16.18%Pourcentage en avantage numérique16.09%
78.81%Pourcentage en désavantage numérique87.80%
Capitals
47-14-8, 102pts
Jour 90
Flyers
21-45-2, 44pts
Statistiques d’équipe
W1SéquenceL4
23-6-4Fiche domicile9-23-2
24-8-4Fiche visiteur12-22-0
7-2-110 derniers matchs3-7-0
4.67Buts par match 3.76
3.17Buts contre par match 3.76
23.55%Pourcentage en avantage numérique16.18%
85.43%Pourcentage en désavantage numérique78.81%
Flyers
21-45-2, 44pts
Jour 92
Islanders
36-21-9, 81pts
Statistiques d’équipe
L4SéquenceOTL1
9-23-2Fiche domicile19-11-4
12-22-0Fiche visiteur17-10-5
3-7-010 derniers matchs6-3-1
3.76Buts par match 3.95
5.53Buts contre par match 3.95
16.18%Pourcentage en avantage numérique19.91%
78.81%Pourcentage en désavantage numérique83.21%
Meneurs d'équipe
Alex OvechkinButs
Alex Ovechkin
52
Alex OvechkinPasses
Alex Ovechkin
51
Alex OvechkinPoints
Alex Ovechkin
103
Plus/Moins
Klim Kostin
-2
Petr MrazekVictoires
Petr Mrazek
15
Petr MrazekPourcentage d’arrêts
Petr Mrazek
0.883

Statistiques d’équipe
Buts pour
256
3.76 GFG
Tirs pour
2427
35.69 Avg
Pourcentage en avantage numérique
16.2%
28 GF
Début de zone offensive
35.5%
Buts contre
376
5.53 GAA
Tirs contre
2820
41.47 Avg
Pourcentage en désavantage numérique
78.8%%
57 GA
Début de la zone défensive
37.1%
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
Assistance17,096
Billets de saison10,800


Informations de la formation

Équipe Pro23
Équipe Mineure44
Limite contact 67 / 100
Espoirs160


Plafond salarial

Cap Salarial de la Saison estimé69,103,988$
Plafond salarial disponible5,396,012$
Valeur du plafond salarial spécial1,650,000$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour47,869,334$
Dépenses annuelles à ce jour50,889,470$
Revenus de la saison estimés12,671,294$
Dépenses de la saison estimées17,802,048$
Compte bancaire actuel14,550,375$
Compte bancaire projeté8,681,820$


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
1Steven StamkosXXX100.00724384977077998682818858699399765579036214,900,000$
2Anthony ManthaX100.0078927476896641773671856370747571417003126,525,000$
3Brendan GaunceXX100.008145908480546764716058682564646147650321750,000$
4Austin WatsonX100.009495617390508859565273552574776658640341750,000$
5Klim KostinXXX100.009768787787575666346356652563646318640261750,000$
6Anton BlidhX100.006771586671818760495364575946465946610311750,000$
7Bogdan TrineyevX100.008076886778727753504657625546465949590241750,000$
8Atley Calvert (R)X100.007570896672444060755065636246466045580221750,000$
9Austin Wagner (R)X100.007571866571727753504754615146465738580281750,000$
10Ryder KorczakX100.007063886665484852655148584646465326540231750,000$
11Darnell NurseX100.0087797277838593692570547925818464517503137,550,000$
12Tyler KlevenX100.007755907786649658254647712558585846670241916,667$
13Samuel BolducX100.0086839668847985552549466844525258346502521,278,000$
14Ashton SautnerX100.007571846371717847253840603846465042590311750,000$
15Austin StrandX100.007573806473707651254441613946465240590291750,000$
16Matteo PietroniroX100.007272756172424244253339583846464629530272750,000$
17Artur CholachX100.007271778172333241252839573746464631530221750,000$
Rayé
1Alex OvechkinXX94.00824693758476829725859956609999825579040214,000,000$
2Briley WoodXXX100.006471488172323044553844524245454619500231750,000$
3Connor MacEachernXXX100.007366946066363544563746574445454926490261750,000$
Équipe Mineure
1Connor BedardXX100.006842777368849980718781618062627460730202950,000$
2Teddy BluegerX99.0078548575696799638769637975727366806903122,995,000$
3Cody GlassXXX100.0071439277766582678072617075666764756702731,894,000$
4Jansen HarkinsXXX100.0087559083735790626657577975676863706702832,900,000$
5Nils HoglanderX100.0076438880666289662571635925696964726502521,394,000$
6Conor Geekie (R)X100.0084459180806293645162686325525166696502131,485,000$
7Nikita Nesterenko (R)XX100.0087469783755685612660716525484868636402431,486,000$
8Matt NietoX100.0077439678676264613656568025808362696403313,000,000$
9Philipp KurashevXXX100.0067429275706568625863656875696864686402631,514,000$
10Stephen Halliday (R)X100.0080808171828186607859596458474662626302331,546,000$
11Michael PezzettaX100.0093957373814450593350566463646457716002831,448,000$
12Cameron HebigX100.0070668568665655627857656061464661465902921,014,000$
13Kaedan KorczakX100.0081452577766660602559486725565657656402521,134,000$
14Hunter Brzustewicz (R)X100.0077709469728087542552426439474654756302131,322,000$
15David SpacekX100.0074708768728088532550426239474653706202331,331,000$
16Luca Cagnoni (R)X100.0069648770668085602552535951474660596102131,384,000$
17William LagessonX100.0078787868785253532543456644605952666003021,955,000$
18Declan Carlile (R)X100.0073737473736975482537455841474650575902531,189,000$
19Jake LivingstoneX100.007878826478697549253744614345455361590272900,000$
20Parker Bell (R)X100.0082818364827278495044486346454555195602231,276,000$
21Felix Unger Sorum (R)X100.0072639366647176525054475944454555185602031,277,000$
22Daniel D'AmatoXXX100.007571846571515155684859625444445820560252979,000$
23Ben Steeves (R)X100.006461726661535258505656585344445819550231950,000$
24Jamieson ReesX100.0074669164664746536555476145444455205402521,238,000$
25Anthony VincentXXX100.0069706665705455526547535850444455205402821,035,000$
26Zach SolowX100.0069657764655050525053475945444454205302731,317,000$
27Ivan Demidov (R)X100.0079719980715356445038446142444453205302031,268,000$
28Oliver Moore (R)X100.0077679980675052445538446142444452205302131,264,000$
29Ian McKinnonXXX100.006578356378505050634550564844445120520282967,000$
30Curtis HallX100.008479956079373645563846644444445220510262993,000$
31Ryan HoferX100.0072707780703432445038445842444450205002331,130,000$
32Riley BezeauXXX100.006768656268414048604447574544445120500232923,000$
33Riley McKayXXX100.006070356370474749614647534544445020500272973,000$
34Logan NijhoffX100.006268476068363448504644544244444820480242977,000$
35Zachary MassicotteX100.008681998081333241252839633745444920550252900,000$
36Jakub Dvorak (R)X100.0081818261814748442534396237444450205502031,277,000$
37Zayne Parekh (R)X100.0075659980655154412528395837444450205502031,278,000$
38Rodwin Dionicio (R)X100.0069765463764240522537535850444454205302231,264,000$
39Xavier Bernard (R)X100.0079807861804140452536396237444450205302631,326,000$
40Mitchell Vande SompelX100.0077689960683735462537396137444450205202921,065,000$
41Bryan Yoon (R)X100.007365936065393845253539593744444920510282900,000$
MOYENNE D’ÉQUIPE99.89766780717457635545505362465353574159
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
1Petr Mrazek100.006368687465586965626395717363456503428,255,000$
2Isaac Poulter100.00484050674944505247513045454816500242750,000$
Rayé
1Carter George (R)87.43454050744688454890814545455924600193983,000$
Équipe Mineure
1Mads Sogaard100.004543549045914649908145474760656202521,094,000$
2Carter Gylander (R)100.004540508346904748928145464658826102431,500,000$
3Dylan Wells100.005050637550495055495030444451205202831,300,000$
MOYENNE D’ÉQUIPE97.9049475677507051537268485050574258
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Zettler40404040404040CAN5211,100,000$


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
1Alex OvechkinFlyersLW/RW685251103-4013510210335813722914.53%55153622.59461023127123121617231.25%1288536041.34030011023
2Steven StamkosFlyersC/LW/RW68395190-2431510810731511719712.38%50142120.90471135159022122383055.88%1709616011.2703001264
3Anthony ManthaFlyersRW63313566-41191105921012367812213.14%50108217.18268191330001332136.09%13163131111.2200876140
4Brendan GaunceFlyersC/RW68273158-22601181332166612912.50%19130619.216392115611261722047.23%9212723020.8901000224
5Anton BlidhFlyersLW68242751-14882098701674610914.37%2696914.2522410940000262237.55%4742515011.0511121121
6Darnell NurseFlyersD68103141-841627014113820176834.98%132185127.23639261770115222010%04268000.4401734002
7Austin WatsonFlyersLW6872431-33322150151869034587.78%58128118.841561211801121290049.29%3511523000.481312710010
8Atley CalvertFlyersC68141630-741154963132388910.61%2980511.85000070000340139.08%871913000.7400012021
9Austin WagnerFlyersLW68111425-103115647089325612.36%3382212.0900003000032044.83%292123000.6100021001
10Ryder KorczakFlyersC5961420-215335204041142914.63%125078.61022318000050048.38%401910000.7900223001
11Ashton SautnerFlyersD6821719-33810661086828312.94%88138520.3803351090112170000%0646000.2700110000
12Connor BedardPhantoms (PHI)C/RW951116260121737152413.51%920723.011236242023270045.61%35343001.5500000100
13Bogdan TrineyevFlyersRW687916-28483073527825458.97%2390113.2600007000000042.31%52814000.3500411000
14Austin StrandFlyersD6821315-5713555926228273.23%92136320.0501131070001168000%0934000.2200232001
15Klim KostinFlyersC/LW/RW274610-2195292829132713.79%1531511.670222161013390032.16%19926000.6300010011
16Samuel BolducFlyersD3301010-40404036616227230%5489327.0601110800002134000%0427000.2200251000
17Artur CholachFlyersD68178-7592535422816173.57%3574610.980000100001000%0319000.2100122000
18Matteo PietroniroFlyersD60077-739153636288130%4472512.1000002000017000%0017000.1900120000
19Briley WoodFlyersC/LW/RW36347-1917533113110309.68%62928.1300000000001050.00%1044000.4800010000
20Connor MacEachernFlyersC/LW/RW37303-182151913144821.43%32927.8900000000000150.00%1207000.2100001000
21Conor GeekiePhantoms (PHI)C10112-1008396911.11%0727.2300000000000030.00%3051000.5500000000
22Ben SteevesPhantoms (PHI)LW9112-3205213667.69%1677.4900000000000050.00%440000.5900000000
23Bryan YoonPhantoms (PHI)D8022-2003126120%610913.700000100005000%003000.3600000000
24Tyler KlevenFlyersD38011-500122112840%232847.49000122000044000%1112000.0700000000
Statistiques d’équipe totales ou en moyenne1205250383633-4341298590136514092322833136710.77%8631924115.972643691761370581349163819842.00%4538420451190.66212414036172019
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
1Petr MrazekFlyers46152120.8834.762281401811552899310.909113629210
2Carter GeorgeFlyers2241200.8705.481029009472535012001917010
3Isaac PoulterFlyers1921200.8227.35784009653931411001322000
Statistiques d’équipe totales ou en moyenne87214520.8685.444096403712816156354116868220


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex OvechkinFlyersLW/RW401985-09-17RUSNo238 Lbs6 ft3NoNoAssign ManuallyNoYes22025-12-08FalseFalsePro & Farm14,000,000$3,733,333$14,000,000$3,733,333$No14,900,000$--------14,900,000$--------No--------Lien / Lien NHL
Anthony ManthaFlyersRW311994-09-16CANNo234 Lbs6 ft5NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm6,525,000$1,740,000$6,525,000$1,740,000$No6,525,000$--------6,525,000$--------No--------Lien / Lien NHL
Anton BlidhFlyersLW311995-03-14SWENo195 Lbs6 ft0NoNoAssign ManuallyNoYes12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien / Lien NHL
Artur CholachFlyersD222003-06-06UKRNo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Ashton SautnerFlyersD311994-05-27CANNo191 Lbs6 ft1NoNoAssign ManuallyNoYes12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Atley CalvertFlyersC222003-09-17SKYes193 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Austin StrandFlyersD291997-02-17CANNo193 Lbs6 ft3NoNoAssign ManuallyNoYes12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien / Lien NHL
Austin WagnerFlyersLW281997-06-23CANYes194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Austin WatsonFlyersLW341992-01-13USANo238 Lbs6 ft4NoNoAssign ManuallyNoYes12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien / Lien NHL
Bogdan TrineyevFlyersRW242002-03-04RUSNo202 Lbs6 ft3NoNoN/ANoNo12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Brendan GaunceFlyersC/RW321994-03-25CANNo219 Lbs6 ft3NoNoAssign ManuallyNoYes12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Briley WoodFlyersC/LW/RW232003-01-15CANNo188 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Carter GeorgeFlyersG192006-05-20CANYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm983,000$262,133$983,000$262,133$No983,000$983,000$-------983,000$983,000$-------NoNo-------Lien
Connor MacEachernFlyersC/LW/RW261999-07-30ONNo185 Lbs5 ft10NoNoAssign ManuallyNoYes12026-01-05FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Darnell NurseFlyersD311995-02-04CANNo215 Lbs6 ft4NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm7,550,000$2,013,333$7,550,000$2,013,333$No7,550,000$7,550,000$-------7,550,000$7,550,000$-------NoNo-------Lien / Lien NHL
Isaac PoulterFlyersG242001-09-12MANNo174 Lbs6 ft2NoNoN/ANoNo22025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No750,000$--------934,000$--------No--------Lien
Klim KostinFlyersC/LW/RW261999-05-05RUSNo232 Lbs6 ft4NoNoN/ANoYes12026-01-19FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Matteo PietroniroFlyersD271998-10-20USANo195 Lbs6 ft1NoNoFree AgentNoYes22024-10-16FalseFalsePro & Farm750,000$200,000$750,000$200,000$No750,000$--------750,000$--------No--------Lien
Petr MrazekFlyersG341992-02-14CZENo188 Lbs6 ft2NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm8,255,000$2,201,333$8,255,000$2,201,333$No8,255,000$--------8,255,000$--------No--------Lien / Lien NHL
Ryder KorczakFlyersC232002-09-23SKWNo172 Lbs5 ft11NoNoN/ANoNo12025-12-08FalseFalsePro & Farm750,000$200,000$750,000$200,000$No---------------------------Lien
Samuel BolducFlyersD252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro & Farm1,278,000$340,800$1,278,000$340,800$No1,278,000$--------1,278,000$--------No--------Lien
Steven StamkosFlyersC/LW/RW361990-02-07CANNo193 Lbs6 ft1NoNoAssign ManuallyNoYes22024-09-16FalseFalsePro & Farm14,900,000$3,973,333$14,900,000$3,973,333$No14,900,000$--------14,900,000$--------No--------Lien / Lien NHL
Tyler KlevenFlyersD242002-01-10USANo221 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm916,667$244,445$916,667$244,445$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.91203 Lbs6 ft21.482,854,681$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
65,657,667$55,891,000$8,533,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony ManthaAustin Watson40122
2Steven StamkosBrendan GaunceBogdan Trineyev30122
3Austin WagnerAnton BlidhAtley Calvert20122
4Klim KostinRyder Korczak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducDarnell Nurse40122
2Austin StrandAshton Sautner30122
3Tyler KlevenMatteo Pietroniro20122
4Samuel BolducDarnell Nurse10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steven StamkosAnthony ManthaBrendan Gaunce60122
2Austin WatsonAnton Blidh40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducDarnell Nurse60122
2Austin StrandAshton Sautner40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Austin WatsonSteven Stamkos60122
2Brendan GaunceAnthony Mantha40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseSamuel Bolduc60122
2Ashton SautnerAustin Strand40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Gaunce60122Darnell NurseSamuel Bolduc60122
2Steven Stamkos40122Ashton SautnerAustin Strand40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin WatsonSteven Stamkos60122
2Brendan GaunceAnthony Mantha40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducDarnell Nurse60122
2Austin StrandAshton Sautner40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven StamkosAnthony ManthaBrendan GaunceSamuel BolducDarnell Nurse
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven StamkosAnthony ManthaBrendan GaunceSamuel BolducDarnell Nurse
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Steven Stamkos, Austin Watson, Brendan GaunceSteven Stamkos, Brendan GaunceSteven Stamkos
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ashton Sautner, Darnell Nurse, Austin StrandDarnell NurseDarnell Nurse, Austin Strand
Tirs de pénalité
Steven Stamkos, Anthony Mantha, Austin Watson, Brendan Gaunce, Anton Blidh
Gardien
#1 : Petr Mrazek, #2 : Isaac Poulter
Lignes d’attaque personnalisées en prolongation
Steven Stamkos, , Anthony Mantha, Brendan Gaunce, Anton Blidh, Bogdan Trineyev, Austin Wagner, Atley Calvert, Austin Watson, Klim Kostin
Lignes de défense personnalisées en prolongation
Samuel Bolduc, Darnell Nurse, Austin Strand, Ashton Sautner, Matteo Pietroniro


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
1Avalanche21000100111011000010034-11100000086230.75011193000452065222716078321736300.00%6183.33%0668159441.91%720166343.30%509122841.45%361745183818
2Blackhawks21100000812-4110000007521010000017-620.50081018002420771929290793634426116.67%8362.50%0668159441.91%720166343.30%509122841.45%371943193818
3Blue Jackets30300000817-920200000612-61010000025-300.000813210031408835242901274854571715.88%12375.00%0668159441.91%720166343.30%509122841.45%572767305527
4Blues20200000817-91010000018-71010000079-200.0008132100224058232411088248448100.00%12558.33%0668159441.91%720166343.30%509122841.45%341749203615
5Bruins2110000067-11010000025-31100000042220.50061117002220693419160822749393133.33%70100.00%0668159441.91%720166343.30%509122841.45%361945193717
6Canadiens2010001068-21010000025-31000001043120.5006915001401762735127913826357228.57%80100.00%0668159441.91%720166343.30%509122841.45%402147183718
7Canucks2020000059-41010000046-21010000013-200.00059140013106820183001002936364125.00%8187.50%0668159441.91%720166343.30%509122841.45%372047193516
8Capitals403010001221-92010100068-220200000613-720.25012183000254114757503911824764747228.57%17476.47%0668159441.91%720166343.30%509122841.45%743994367132
9Coyotes11000000422110000004220000000000021.00047110004004910327043141318500.00%40100.00%0668159441.91%720166343.30%509122841.45%20101910199
10Devils4310000027216211000001013-322000000178960.75027416800999015358534201686190947228.57%10190.00%1668159441.91%720166343.30%509122841.45%734093367234
11Ducks20200000515-101010000039-61010000026-400.000510150013104811251201033622465120.00%6266.67%0668159441.91%720166343.30%509122841.45%311350193717
12Flames20200000213-111010000016-51010000017-600.00024600101061171925076236140200.00%13469.23%0668159441.91%720166343.30%509122841.45%371945203616
13Golden Knights20200000712-51010000058-31010000024-200.00071219003130713119210741926415120.00%8275.00%0668159441.91%720166343.30%509122841.45%402141203717
14Islanders40400000925-1620200000516-112020000049-500.0009152410441014864493501646791807114.29%18855.56%1668159441.91%720166343.30%509122841.45%754195356933
15Jets1010000056-1000000000001010000056-100.0005914002210321012100317618600.00%3233.33%0668159441.91%720166343.30%509122841.45%17720102110
16Kings312000001315-21010000035-2211000001010020.3331320331053501074715450128334662700.00%80100.00%0668159441.91%720166343.30%509122841.45%532770305526
17Lightning21100000612-61010000018-71100000054120.5006101600132060231918077289740400.00%11281.82%0668159441.91%720166343.30%509122841.45%341645214017
18Maple Leafs11000000431000000000001100000043121.0004711000310408161603490174125.00%000%0668159441.91%720166343.30%509122841.45%1892010209
19Oilers2010100079-2100010006511010000014-320.500713200013217422331811014441526116.67%8362.50%0668159441.91%720166343.30%509122841.45%392148183417
20Panthers10000010651100000106510000000000021.0006101600041143101711841145248225.00%000%0668159441.91%720166343.30%509122841.45%22102391911
21Penguins422000001820-2321000001314-11010000056-140.500182846006480166644557016761418615320.00%18383.33%3668159441.91%720166343.30%509122841.45%794185407435
22Predators11000000422000000000001100000042221.000471100103032891503591215400.00%6183.33%0668159441.91%720166343.30%509122841.45%1882111209
23Rangers505000001434-2020200000511-630300000923-1400.0001423370025702015871720186497110614214.29%18383.33%0668159441.91%720166343.30%509122841.45%10254103489444
24Red Wings21100000111101010000035-21100000086220.50011193010425080233027086263737000%11372.73%0668159441.91%720166343.30%509122841.45%351748203616
25Sabres210010001266100010005411100000072541.000121830002811692724171802049398225.00%12191.67%0668159441.91%720166343.30%509122841.45%351847223715
26Senators20200000515-101010000058-31010000007-700.000571200203055261217086329931200.00%8275.00%0668159441.91%720166343.30%509122841.45%331548193717
27Sharks20200000815-71010000035-210100000510-500.00081321001250622123180671662415240.00%110100.00%0668159441.91%720166343.30%509122841.45%361741224217
28Stars2020000049-51010000035-21010000014-300.00044800112068183119064201545400.00%5180.00%0668159441.91%720166343.30%509122841.45%361742204119
29Whalers312000001821-31010000057-2211000001314-120.3331829471038701213045460138404580200.00%10280.00%0668159441.91%720166343.30%509122841.45%573267285424
30Wild1000000134-11000000134-10000000000010.50035800111039820104441316195240.00%30100.00%0668159441.91%720166343.30%509122841.45%21112510189
Total68164503121256376-1203452303111120193-7334112200010136183-47440.3242564136694067968852427831845740222820922130913981732816.18%2695778.81%5668159441.91%720166343.30%509122841.45%127765615466731274597
_Since Last GM Reset68164503121256376-1203452303111120193-7334112200010136183-47440.3242564136694067968852427831845740222820922130913981732816.18%2695778.81%5668159441.91%720166343.30%509122841.45%127765615466731274597
_Vs Conference41112602020162226-64213150201074121-47208110001088105-17300.36616225842030416255415165445094541717095678188391051918.10%1603280.00%5668159441.91%720166343.30%509122841.45%776404934400759357
_Vs Division2762001000106159-5314310010005081-3113310000005678-22140.259106167273202936401102436633732011132373456577691115.94%1032476.70%5668159441.91%720166343.30%509122841.45%520276607257491233

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6844L4256413669242728209221309139840
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6816453121256376
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
345233111120193
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3411220010136183
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
1732816.18%2695778.81%5
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
831845740226796885
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
668159441.91%720166343.30%509122841.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
127765615466731274597


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
15Flyers2Islanders4LSommaire du match
224Penguins5Flyers6WSommaire du match
343Flyers2Islanders5LSommaire du match
448Capitals3Flyers4WXSommaire du match
666Flyers4Rangers5LSommaire du match
785Blue Jackets8Flyers4LSommaire du match
899Flyers7Whalers5WSommaire du match
10116Devils9Flyers4LSommaire du match
11131Islanders8Flyers4LSommaire du match
12144Flyers5Penguins6LSommaire du match
13159Penguins5Flyers6WSommaire du match
15172Flyers3Capitals6LSommaire du match
16187Flyers3Kings5LSommaire du match
18210Flyers4Rangers11LSommaire du match
19216Whalers7Flyers5LSommaire du match
20240Sharks5Flyers3LSommaire du match
21256Rangers7Flyers3LSommaire du match
22263Flyers8Devils3WSommaire du match
24281Flyers7Sabres2WSommaire du match
25298Flyers4Canadiens3WXXSommaire du match
26307Canucks6Flyers4LSommaire du match
27329Flyers1Blackhawks7LSommaire du match
28335Bruins5Flyers2LSommaire du match
29357Blackhawks5Flyers7WSommaire du match
31373Flyers8Red Wings6WSommaire du match
32391Panthers5Flyers6WXXSommaire du match
33405Flyers6Whalers9LSommaire du match
34414Flyers5Sharks10LSommaire du match
36430Flyers3Capitals7LSommaire du match
37443Lightning8Flyers1LSommaire du match
38461Oilers5Flyers6WXSommaire du match
39481Stars5Flyers3LSommaire du match
40494Flyers8Avalanche6WSommaire du match
41507Flyers4Maple Leafs3WSommaire du match
42520Flyers1Canucks3LSommaire du match
43528Flames6Flyers1LSommaire du match
45551Rangers4Flyers2LSommaire du match
46563Flyers1Oilers4LSommaire du match
48585Islanders8Flyers1LSommaire du match
50601Flyers1Rangers7LSommaire du match
51616Sabres4Flyers5WXSommaire du match
52632Flyers5Jets6LSommaire du match
53645Red Wings5Flyers3LSommaire du match
55658Flyers1Flames7LSommaire du match
56675Kings5Flyers3LSommaire du match
58697Flyers9Devils5WSommaire du match
59707Penguins4Flyers1LSommaire du match
60729Devils4Flyers6WSommaire du match
62749Flyers7Blues9LSommaire du match
63762Golden Knights8Flyers5LSommaire du match
64773Flyers0Senators7LSommaire du match
65790Flyers4Bruins2WSommaire du match
66800Wild4Flyers3LXXSommaire du match
69823Avalanche4Flyers3LXSommaire du match
70840Flyers4Predators2WSommaire du match
71849Flyers2Golden Knights4LSommaire du match
72861Canadiens5Flyers2LSommaire du match
74885Capitals5Flyers2LSommaire du match
75897Flyers2Ducks6LSommaire du match
76913Senators8Flyers5LSommaire du match
78933Flyers7Kings5WSommaire du match
79946Blue Jackets4Flyers2LSommaire du match
81968Flyers5Lightning4WSommaire du match
82979Coyotes2Flyers4WSommaire du match
84998Flyers2Blue Jackets5LSommaire du match
851011Ducks9Flyers3LSommaire du match
871033Blues8Flyers1LSommaire du match
881049Flyers1Stars4LSommaire du match
891055Flyers-Blue Jackets-
901070Capitals-Flyers-
921088Flyers-Islanders-
931101Jets-Flyers-
941116Flyers-Islanders-
961133Predators-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971155Sharks-Flyers-
991167Flyers-Penguins-
1011188Maple Leafs-Flyers-
1021206Flyers-Panthers-
1031214Flyers-Coyotes-
1051230Flyers-Wild-
1061234Devils-Flyers-
1081259Blue Jackets-Flyers-
1111278Whalers-Flyers-
1121295Flyers-Whalers-
1141311Flyers-Penguins-
1161321Islanders-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets75403020300
Assistance195,742167,52767,340130,25720,400
Attendance PCT95.95%98.55%99.03%95.78%60.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 17096 - 94.98% 1,407,922$47,869,334$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
50,889,470$ 65,657,667$ 65,657,667$ 1,100,000$0$ 1,650,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
547,147$ 49,945,284$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
12,671,294$ 32 556,314$ 17,802,048$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
19,233,744$ 14,550,375$ 8,681,820$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
69,103,988$ 5,396,012$ 74,500,000$ 10,603,988$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex OvechkinAGE:40PO:82OV:79
Steven StamkosAGE:36PO:76OV:79
Cody GlassAGE:27PO:64OV:67
Jansen HarkinsAGE:28PO:63OV:67
Nils HoglanderAGE:25PO:64OV:65
Nikita Nesterenko (R)AGE:24PO:68OV:64
Austin WatsonAGE:34PO:66OV:64
Philipp KurashevAGE:26PO:64OV:64
Klim KostinAGE:26PO:63OV:64
Matt NietoAGE:33PO:62OV:64
Anton BlidhAGE:31PO:59OV:61
Michael PezzettaAGE:28PO:57OV:60
Austin Wagner (R)AGE:28PO:57OV:58
Daniel D'AmatoAGE:25PO:58OV:56
Parker Bell (R)AGE:22PO:55OV:56
Ben Steeves (R)AGE:23PO:58OV:55
Anthony VincentAGE:28PO:55OV:54
Ian McKinnonAGE:28PO:51OV:52
Riley BezeauAGE:23PO:51OV:50
Riley McKayAGE:27PO:50OV:50
Briley WoodAGE:23PO:46OV:50
Connor MacEachernAGE:26PO:49OV:49
Logan NijhoffAGE:24PO:48OV:48
Steven StamkosAGE:36PO:76OV:79
Connor BedardAGE:20PO:74OV:73
Teddy BluegerAGE:31PO:66OV:69
Cody GlassAGE:27PO:64OV:67
Jansen HarkinsAGE:28PO:63OV:67
Conor Geekie (R)AGE:21PO:66OV:65
Brendan GaunceAGE:32PO:61OV:65
Nikita Nesterenko (R)AGE:24PO:68OV:64
Philipp KurashevAGE:26PO:64OV:64
Klim KostinAGE:26PO:63OV:64
Stephen Halliday (R)AGE:23PO:62OV:63
Cameron HebigAGE:29PO:61OV:59
Atley Calvert (R)AGE:22PO:60OV:58
Daniel D'AmatoAGE:25PO:58OV:56
Jamieson ReesAGE:25PO:55OV:54
Anthony VincentAGE:28PO:55OV:54
Ryder KorczakAGE:23PO:53OV:54
Oliver Moore (R)AGE:21PO:52OV:53
Ian McKinnonAGE:28PO:51OV:52
Curtis HallAGE:26PO:52OV:51
Riley BezeauAGE:23PO:51OV:50
Riley McKayAGE:27PO:50OV:50
Briley WoodAGE:23PO:46OV:50
Connor MacEachernAGE:26PO:49OV:49
Alex OvechkinAGE:40PO:82OV:79
Steven StamkosAGE:36PO:76OV:79
Connor BedardAGE:20PO:74OV:73
Anthony ManthaAGE:31PO:71OV:70
Cody GlassAGE:27PO:64OV:67
Jansen HarkinsAGE:28PO:63OV:67
Brendan GaunceAGE:32PO:61OV:65
Philipp KurashevAGE:26PO:64OV:64
Klim KostinAGE:26PO:63OV:64
Bogdan TrineyevAGE:24PO:59OV:59
Daniel D'AmatoAGE:25PO:58OV:56
Felix Unger Sorum (R)AGE:20PO:55OV:56
Anthony VincentAGE:28PO:55OV:54
Zach SolowAGE:27PO:54OV:53
Ivan Demidov (R)AGE:20PO:53OV:53
Ian McKinnonAGE:28PO:51OV:52
Riley BezeauAGE:23PO:51OV:50
Ryan HoferAGE:23PO:50OV:50
Riley McKayAGE:27PO:50OV:50
Briley WoodAGE:23PO:46OV:50
Connor MacEachernAGE:26PO:49OV:49

Défense #1Défense #2Gardien
Darnell NurseAGE:31PO:64OV:75
Tyler KlevenAGE:24PO:58OV:67
Samuel BolducAGE:25PO:58OV:65
Kaedan KorczakAGE:25PO:57OV:64
Hunter Brzustewicz (R)AGE:21PO:54OV:63
David SpacekAGE:23PO:53OV:62
Luca Cagnoni (R)AGE:21PO:60OV:61
William LagessonAGE:30PO:52OV:60
Jake LivingstoneAGE:27PO:53OV:59
Austin StrandAGE:29PO:52OV:59
Declan Carlile (R)AGE:25PO:50OV:59
Ashton SautnerAGE:31PO:50OV:59
Jakub Dvorak (R)AGE:20PO:50OV:55
Zayne Parekh (R)AGE:20PO:50OV:55
Zachary MassicotteAGE:25PO:49OV:55
Rodwin Dionicio (R)AGE:22PO:54OV:53
Xavier Bernard (R)AGE:26PO:50OV:53
Matteo PietroniroAGE:27PO:46OV:53
Artur CholachAGE:22PO:46OV:53
Mitchell Vande SompelAGE:29PO:50OV:52
Bryan Yoon (R)AGE:28PO:49OV:51
Petr MrazekAGE:34PO:63OV:65
Mads SogaardAGE:25PO:60OV:62
Carter Gylander (R)AGE:24PO:58OV:61
Carter George (R)AGE:19PO:59OV:60
Dylan WellsAGE:28PO:51OV:52
Isaac PoulterAGE:24PO: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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam BurishFlyers00
Adam GajanFlyers202331
Aku KoskenvuoFlyers2021144
Albert LyckasenFlyers2020199
Alex D'OrioFlyers00Lien
Alex HuangFlyers2025132
Alex Kannok-LeipertFlyers00Lien
Alex O'NeilFlyers00
Alexander KadeykinFlyers2014201
Alexander ZharovskyFlyers202539
Alexei MelnichukFlyers00Lien
Andreas WingerliFlyers00Lien
Andrei PopovFlyers00
Andrew O'BrienFlyers00
Angus MacDonellFlyers2023156
Anton CederholmFlyers00
Antti NiemiFlyers00
Arvid HenriksonFlyers2016190
Axel BergkvistFlyers2019206
Axel HurtigFlyers2023217
Ben CopelandFlyers00Lien
Benn OlsonFlyers00
Blaine ByronFlyers00Lien
Blair BettsFlyers00
Brady ClevelandFlyers202356
Brendan RanfordFlyers00
Brian O'NeillFlyers00
Brian StewartFlyers00
Bryan LergFlyers00
Cal ThomasFlyers2021175
Cameron AllenFlyers202394
Carson GicewiczFlyers00Lien
Casey NelsonFlyers00Lien
Chase WutzkeFlyers2024157
Coda GordonFlyers2012129
Cole FraserFlyers2017108
Colton OrrFlyers00
Dalton ThrowerFlyers201247
Dan DaSilvaFlyers00
Daniel NieminenFlyers2025149
Danny TaylorFlyers00
Dave BollandFlyers00
David RozsivalFlyers2025163
Dean LetourneauFlyers202424
Denis BodrovFlyers00
Denis MalginFlyers00Lien
Dmitri OsipovFlyers00Lien
Dov Grumet-MorrisFlyers00
Drew WorradFlyers00Lien
Ed WittchowFlyers00
Eric RoyFlyers00
Ethan MoreauFlyers00
Flyers CapmanFlyers00
Garrett KlotzFlyers00
Giorgio EstephanFlyers2015157Lien
Ian LaperriereFlyers00
Ilya KanarskyFlyers2025194
Ilya NabokovFlyers202433
Jacob HayhurstFlyers00Lien
Jakub KovarFlyers00
Jakub ZborilFlyers00Lien
Jan DrozgFlyers2017159Lien
Jarome IginlaFlyers00
Jayden HalbgewachsFlyers00Lien
Jeremy GroleauFlyers00Lien
Jhonas EnrothFlyers00
Johan BacklundFlyers00
John PerssonFlyers00
Jon KalinskiFlyers00
Jonas HillerFlyers00
Jonatan NielsenFlyers2012203
Jonathon Ismeal DiabyFlyers00
Joonas LehtivuoriFlyers00
Joseph GarreffaFlyers00Lien
Josh GorgesFlyers00
Josh JoorisFlyers00
Julius SumpfFlyers2025101
Justin KloosFlyers00Lien
Keith AulieFlyers00
Kelsey TessierFlyers00
Kevin MarshallFlyers00
Kieren DervinFlyers202570
Kimmo TimonenFlyers00
Kyle BettsFlyers00Lien
Leevi AaltonenFlyers2019138
Linus ErikssonFlyers202464
Lucas FeukFlyers2019122
Ludwig KarlssonFlyers00
Luke MartinFlyers201766
Luke MittelstadtFlyers2023187
Luke PitherFlyers00
Maksim BerezkinFlyers2020143
Marcel GocFlyers00
Marek LanghamerFlyers00
Mason RaymondFlyers00
Mathieu DarcheFlyers00
Matt CalvertFlyers00Lien
Matt FraserFlyers00
Matteo CostantiniFlyers2020136
Matthew BradleyFlyers2015139
Matthew DeblouwFlyers2012180
Matthew ManiaFlyers2023125
Matthew StajanFlyers00
Matthew StienburgFlyers201979
Maxime ComtoisFlyers00Lien
Maxime LacroixFlyers00
Michael BrodzinskiFlyers00
Michael ParksFlyers00
Mike CollinsFlyers00
Mike FerrantinoFlyers00
Mike HalmoFlyers00
Mike TestwuideFlyers00
Milan JurcinaFlyers00
Morgan Adams-MoisanFlyers00Lien
Morgan EllisFlyers00
Myles bellFlyers00
Nicholas PorcoFlyers2019151
Nick LeivermannFlyers2017190
Nick LuukkoFlyers00
Nick PetreckiFlyers00
Nicolas KerdilesFlyers00
Niklas SvedbergFlyers00
Noah ChadwickFlyers2023196
Oskars BartulisFlyers00
Pavel NovakFlyers2020148
Ray EmeryFlyers00
Ricard BlidstrandFlyers00
Roger McQueenFlyers20258
Ryan CulkinFlyers00Lien
Ryan FaragherFlyers00
Ryan RupertFlyers00
Scott FordFlyers00
Sean JoslingFlyers00Lien
Shane HarperFlyers00
Simon ZetherFlyers202495
Sondre OldenFlyers00
Stefan LegeinFlyers00
Steve MasonFlyers00
Strauss MannFlyers00Lien
THOMAS WILSONFlyers201213
Terrance AmorosaFlyers00Lien
Tobie Paquette-BissonFlyers00Lien
Tomas MazuraFlyers2019169
Trent HunterFlyers00
Trevor DaleyFlyers00Lien
Tristan MullinFlyers00Lien
Troy JosephsFlyers00
Tyler HostetterFlyers00
Vasily GlotovFlyers2016194
Viktor LodinFlyers2019107Lien
Wade BelakFlyers00
Wade MurphyFlyers00
Will BelleFlyers2025140
Will SkahanFlyers202465
William GraberFlyers00Lien
William McIsaacFlyers2024144
Zachary BolducFlyers202121
Zack FitzGeraldFlyers00
Zack SharpFlyers2025113
Zack TorquatoFlyers00

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



🚨 BLOCKBUSTER ALERT – Veterans Available for the Right Price 🚨

Par Shareem Mallick (Flyers) Le Wednesday 25th February 2026 / 4:56pm

After conversations with player representatives, three high-profile veterans have made it clear:

They want a shot at a championship.

As GM, I respect that — and I’m willing to work with contenders to make it happen.

The following players are officially available:

🔥 Steven Stamkos – Elite scorer, proven winner, power-play weapon.
🔥 Alex Ovechkin – Goal-scoring machine. Still dangerous. Still built for big moments.
🔥 Darnell Nurse – Big-minute defenseman who brings physicality and stability to any blue line.

💰 Salary retention is on the table to help facilitate the right deal.
📈 Looking for assets that fit both now and the future.

🚫 Connor Bedard is NOT available. Don’t ask. Not happening.

If you’re pushing for a title and want to add proven firepower or blue line help, now’s the time.

Serious offers only.
Let’s talk. 🏆

Voir commentaires (1)
Mark Budey (Capitals) Le 26th February / 3:37pm :

i question the Nurse statement :)

Nouveau commentaire



Flyers Historique de transactions

[2/19/2026 7:46:18 PM] New Record for Team's Most Penalties Minutes (72) in 1 Game for Flyers!
[2/19/2026 7:46:08 PM] TRADE : From Canadiens to Flyers : Conor Geekie (65), Y:2026-RND:2-MON.
[2/19/2026 7:46:08 PM] TRADE : From Flyers to Canadiens : Seth Jones (77), Y:2026-RND:5-PHI.



Carter George est dehors pour 4 jours à cause de Sprained Right Ankle Injury.
Alex Ovechkin est dehors pour 0 jours à cause de Exhaustion.



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

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

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

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

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