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Connexion

Eagles
GP: 68 | W: 21 | L: 32 | OTL: 15 | P: 57
GF: 149 | GA: 202 | PP%: 33.12% | PK%: 68.83%
DG: Sabin Downer | Morale : 21 | Moyenne d’équipe : 57
Prochains matchs #1085 vs Wolves

Centre de jeu
Eagles
21-32-15, 57pts
4
6 Americans
38-23-9, 85pts
Team Stats
W1SéquenceW2
12-17-6Fiche domicile21-8-6
9-15-9Fiche domicile17-15-3
4-6-0Derniers 10 matchs4-5-1
2.19Buts par match 3.09
2.97Buts contre par match 2.81
33.12%Pourcentage en avantage numérique29.38%
68.83%Pourcentage en désavantage numérique70.62%
IceHogs
24-28-18, 66pts
1
2 Eagles
21-32-15, 57pts
Team Stats
L1SéquenceW1
14-13-8Fiche domicile12-17-6
10-15-10Fiche domicile9-15-9
2-5-3Derniers 10 matchs4-6-0
1.94Buts par match 2.19
2.66Buts contre par match 2.97
30.37%Pourcentage en avantage numérique33.12%
70.70%Pourcentage en désavantage numérique68.83%
Wolves
27-30-11, 65pts
Jour 88
Eagles
21-32-15, 57pts
Statistiques d’équipe
W1SéquenceW1
13-15-7Fiche domicile12-17-6
14-15-4Fiche visiteur9-15-9
3-5-210 derniers matchs4-6-0
1.74Buts par match 2.19
2.46Buts contre par match 2.19
24.11%Pourcentage en avantage numérique33.12%
73.95%Pourcentage en désavantage numérique68.83%
Eagles
21-32-15, 57pts
Jour 89
Wild
56-11-2, 114pts
Statistiques d’équipe
W1SéquenceOTL1
12-17-6Fiche domicile27-6-2
9-15-9Fiche visiteur29-5-0
4-6-010 derniers matchs7-2-1
2.19Buts par match 4.41
2.97Buts contre par match 4.41
33.12%Pourcentage en avantage numérique22.77%
68.83%Pourcentage en désavantage numérique78.15%
Gulls
38-22-10, 86pts
Jour 90
Eagles
21-32-15, 57pts
Statistiques d’équipe
SOL1SéquenceW1
23-9-3Fiche domicile12-17-6
15-13-7Fiche visiteur9-15-9
6-3-110 derniers matchs4-6-0
2.29Buts par match 2.19
2.36Buts contre par match 2.19
26.49%Pourcentage en avantage numérique33.12%
72.29%Pourcentage en désavantage numérique68.83%
Meneurs d'équipe
Buts
Ivan Miroshnichenko
26
Passes
Jan Mysak
36
Points
Jan Mysak
61
Plus/Moins
Calen Addison
2
Victoires
Jack LaFontaine
19
Pourcentage d’arrêts
Jack LaFontaine
0.854

Statistiques d’équipe
Buts pour
149
2.19 GFG
Tirs pour
1081
15.90 Avg
Pourcentage en avantage numérique
33.1%
51 GF
Début de zone offensive
35.3%
Buts contre
202
2.97 GAA
Tirs contre
1253
18.43 Avg
Pourcentage en désavantage numérique
68.8%%
48 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralSabin Downer
EntraîneurRoy Sommer
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,142
Billets de saison1,500


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 100
Espoirs65


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
1Ivan Miroshnichenko (R)XX100.008144997971548671246662642549506331640222950,000$
2Jan MysakX100.007669926971788365796266635946466247640231902,500$
3Zayde WisdomX100.007571816873788359505461605547465942600231896,667$
4Jake WiseXXX100.0075689066685351637961646260464661455902631,206,000$
5Alex Jefferies (R)X100.0076709068725352585055586255464658405802431,167,000$
6Brandon BiroX100.0071639066636972595065515846474656325802811,125,000$
7Nikita PavlychevX100.0078807365805353526857456144464653235502921,014,000$
8Jett Luchanko (R)X100.0071668481675556516555435742464653165501931,287,000$
9Hayden HodgsonX100.006784256884606351504851554847465031540302900,000$
10Maxim Barbashev (R)XXX100.0069726582743733526845555853464654395402231,291,000$
11Mason GeertsenX100.007486476286525347504643584246464928520312900,000$
12Jacob Bernard-DockerX100.0071568771736260632555536825626156396302521,350,000$
13Ville Ottavainen (R)X100.0081818270837684482539426139474651426102331,397,000$
14Ty SmithX100.0069667568666061622556516347626156356002621,325,000$
15Seamus Casey (R)X100.0068419971616062642562696125484766386002231,317,000$
16Domenick Fensore (R)X100.0067628469647985542546475646474655325902431,350,000$
17Calen AddisonX100.0068707066706366542553405839464752385702621,636,000$
18Calle Odelius (R)X100.0074709065725153462537385837474648375502131,277,000$
19Roman Schmidt (R)X100.0073825763835964432530415839454548385502331,277,000$
Rayé
1Reece NewkirkXXX100.0067637662634240506350455743444451205102531,130,000$
2Gleb Trikozov (R)X100.0078719361714646475041476245444453205102131,257,000$
3Ben Hemmerling (R)X100.0075679561674342475043466044444452205102231,317,000$
MOYENNE D’ÉQUIPE100.00736879687258615545515160444847553357
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
1Jack LaFontaine (R)100.004440508245894550928145464658716102831,101,000$
2Jakub Skarek (R)100.00474860854649495350503045454850520262948,000$
Rayé
1Michael Houser100.004844557448475255505030444449425103311,000,000$
MOYENNE D’ÉQUIPE100.0046445580466249536460354545525455
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Roy Sommer65565862636357USA592750,000$


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
1Jan MysakEagles (COL)C65253661-17271569106150436616.67%25143922.154162026770112721262.34%4623126010.85111111244
2Ivan MiroshnichenkoEagles (COL)LW/RW58262147-25006474123329521.14%18126021.7314102434930002742033.15%3563820020.7504000524
3Jake WiseEagles (COL)C/LW/RW65182745-1127158298115386415.65%16126219.429122121910113546156.74%5343218000.7111012423
4Brandon BiroEagles (COL)LW68192544-2017575111105295118.10%17136620.098122022961012381446.99%7151323000.6413010411
5Zayde WisdomEagles (COL)RW68151934-2510735116108113298713.27%26155122.8226811860113562151.82%1103825000.44214322331
6Jacob Bernard-DockerEagles (COL)D6852530-265315681299733455.15%59174625.683811251340003119010%03638000.3400012022
7Seamus CaseyEagles (COL)D6812425-2619154510610842380.93%60165824.4002257900008000%13831000.3000111002
8Alex JefferiesEagles (COL)LW6581523-101610748660213813.33%9116617.9445914611014360043.24%37912000.3917002003
9Hayden HodgsonEagles (COL)RW6891120-15121251268641163221.95%21127218.723696891015861050.00%921221000.3104140220
10Ville OttavainenEagles (COL)D6841317-225325669034151311.76%44146821.5935814134000075010%0520000.2300113012
11Ty SmithEagles (COL)D684610-153810801134314319.30%47152122.381126760003119120%11331000.1300020120
12Nikita PavlychevEagles (COL)C61246-1726106077229149.09%787914.42011229000061055.27%27559000.1402011001
13Maxim BarbashevEagles (COL)C/LW/RW68325116035371771217.65%35898.67000011000010065.00%4094000.1700000001
14Jett LuchankoEagles (COL)C54325-1618104141327149.38%262511.5700000000000056.25%11249000.1600110010
15Calle OdeliusEagles (COL)D68022-86027363030%1078911.610000000003400100.00%1312000.0500000000
16Isaiah GeorgeAvalancheD181010001721250.00%11096.08000020000000100.00%101000.1800000010
17Domenick FensoreEagles (COL)D68011-6171528608420%14105915.5900002000078000%2516000.0200021000
18Mason GeertsenEagles (COL)LW571010155421881312.50%24267.4900003000051050.00%611000.0500010010
19Calen AddisonEagles (COL)D68000220420000%01662.460000000000000%10100000000000
20Gleb TrikozovEagles (COL)LW3000000000000%031.040000000000000%00000000000000
21Roman SchmidtEagles (COL)D68000-120110000%0200.300000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1262144233377-25758021011041386108134161013.32%3812038516.155184135186107033627868161251.35%2746292318030.3764681915212224
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
1Jack LaFontaineEagles (COL)571923130.8542.64324808143981435110.73037570430
2Jakub SkarekEagles (COL)202910.8163.288420046250149001.00061157000
3Michael HouserEagles (COL)20010.8573.215600321111000011000
Statistiques d’équipe totales ou en moyenne792132150.8472.78414708192125259521436868430


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 JefferiesEagles (COL)LW242001-11-08USAYes194 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,167,000$260,491$0$0$No1,167,000$1,167,000$-------1,167,000$1,167,000$-------NoNo-------Lien
Ben HemmerlingEagles (COL)RW222004-04-21CANYes180 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,317,000$293,973$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Brandon BiroEagles (COL)LW281998-03-11CANNo170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,125,000$251,116$0$0$No---------------------------Lien
Calen AddisonEagles (COL)D262000-04-11CANNo195 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,636,000$365,179$0$0$No1,636,000$--------1,636,000$--------No--------Lien
Calle OdeliusEagles (COL)D212004-05-30SWEYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$285,045$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Domenick FensoreEagles (COL)D242001-09-07USAYes175 Lbs5 ft9NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,350,000$301,339$0$0$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------Lien
Gleb TrikozovEagles (COL)LW212004-08-12RUSYes191 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,257,000$280,580$0$0$No1,257,000$1,257,000$-------1,257,000$1,257,000$-------NoNo-------Lien
Hayden HodgsonEagles (COL)RW301996-03-02CANNo221 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm900,000$200,893$0$0$No900,000$--------900,000$--------No--------Lien
Ivan MiroshnichenkoEagles (COL)LW/RW222004-02-04RUSYes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$212,054$0$0$No950,000$--------950,000$--------No--------Lien
Jack LaFontaineEagles (COL)G281998-01-06CANYes209 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,101,000$245,759$0$0$No1,101,000$1,101,000$-------1,101,000$1,101,000$-------NoNo-------Lien
Jacob Bernard-DockerEagles (COL)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,350,000$301,339$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Jake WiseEagles (COL)C/LW/RW262000-02-28USANo190 Lbs5 ft10NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,206,000$269,196$0$0$No1,206,000$1,206,000$-------1,206,000$1,206,000$-------NoNo-------Lien
Jakub SkarekEagles (COL)G261999-11-10CZEYes211 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm948,000$211,607$0$0$No948,000$--------948,000$--------No--------Lien
Jan MysakEagles (COL)C232002-06-24CZENo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm902,500$201,451$0$0$No---------------------------Lien
Jett LuchankoEagles (COL)C192006-08-21CANYes180 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$287,277$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Mason GeertsenEagles (COL)LW311995-04-19CANNo231 Lbs6 ft4NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm900,000$200,893$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Maxim BarbashevEagles (COL)C/LW/RW222003-12-18RUSYes192 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,291,000$288,170$0$0$No1,291,000$1,291,000$-------1,291,000$1,291,000$-------NoNo-------Lien
Michael HouserEagles (COL)G331992-09-13USANo195 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-23FalseFalsePro & Farm1,000,000$223,214$0$0$No---------------------------Lien
Nikita PavlychevEagles (COL)C291997-03-23RUSNo201 Lbs6 ft7NoNoTrade2025-03-11NoNo2FalseFalsePro & Farm1,014,000$226,339$0$0$No1,014,000$--------1,014,000$--------No--------Lien
Reece NewkirkEagles (COL)C/LW/RW252001-02-20SKWNo170 Lbs5 ft11NoNoTrade2025-03-11NoNo32025-10-17FalseFalsePro & Farm1,130,000$252,232$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Roman SchmidtEagles (COL)D232003-02-27USAYes218 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$285,045$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Seamus CaseyEagles (COL)D222004-01-08USAYes162 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,317,000$293,973$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Ty SmithEagles (COL)D262000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,325,000$295,759$0$0$No1,325,000$--------1,325,000$--------No--------Lien
Ville OttavainenEagles (COL)D232002-08-12FINYes210 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,397,000$311,830$0$0$No1,397,000$1,397,000$-------1,397,000$1,397,000$-------NoNo-------Lien
Zayde WisdomEagles (COL)RW232002-07-07CANNo201 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm896,667$200,149$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.88194 Lbs6 ft12.361,172,847$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jan MysakBrandon BiroZayde Wisdom40122
2Alex JefferiesJake WiseIvan Miroshnichenko30122
3Zayde WisdomJan MysakHayden Hodgson20122
4Zayde WisdomIvan MiroshnichenkoJan Mysak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJacob Bernard-Docker40122
2Ty SmithVille Ottavainen30122
3Seamus CaseyDomenick Fensore20122
4Calle OdeliusJacob Bernard-Docker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake WiseBrandon BiroIvan Miroshnichenko60122
2Jan MysakHayden HodgsonZayde Wisdom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville OttavainenJacob Bernard-Docker60122
2Seamus CaseyTy Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jan MysakHayden Hodgson60122
2Zayde WisdomBrandon Biro40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerTy Smith60122
2Domenick FensoreVille Ottavainen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jan Mysak60122Jacob Bernard-DockerTy Smith60122
2Zayde Wisdom40122Calle OdeliusSeamus Casey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zayde WisdomHayden Hodgson60122
2Brandon BiroJan Mysak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithVille Ottavainen60122
2Seamus CaseyJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jan MysakBrandon BiroZayde WisdomTy SmithJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jan MysakBrandon BiroZayde WisdomTy SmithJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jan Mysak, Zayde Wisdom, Hayden HodgsonHayden Hodgson, Zayde WisdomZayde Wisdom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seamus Casey, Jacob Bernard-Docker, Domenick FensoreJacob Bernard-DockerCalle Odelius, Jacob Bernard-Docker
Tirs de pénalité
Zayde Wisdom, Jan Mysak, Ivan Miroshnichenko, Hayden Hodgson, Brandon Biro
Gardien
#1 : Jack LaFontaine, #2 : Jakub Skarek


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
1Admirals513000011821-3312000001011-120100001810-230.3001827450025447389422137046769872954103201155.00%12650.00%050994853.69%538102152.69%36371850.56%116439712237561765894
2Americans614001001324-1130200100412-831200000912-330.25013203310254473811522137046769125318810015533.33%19478.95%150994853.69%538102152.69%36371850.56%116439712237561765894
3Barracuda2000000213-21000000101-11000000112-120.5001230025447381722137046769278233200.00%110.00%050994853.69%538102152.69%36371850.56%116439712237561765894
4Bears2020000036-31010000024-21010000012-100.0003470025447382922137046769371312372150.00%6266.67%050994853.69%538102152.69%36371850.56%116439712237561765894
5Bruins2010010047-31010000013-21000010034-110.250461000254473831221370467693698303266.67%4175.00%050994853.69%538102152.69%36371850.56%116439712237561765894
6Canucks20200000411-71010000026-41010000025-300.0004590025447382722137046769441323375120.00%9455.56%150994853.69%538102152.69%36371850.56%116439712237561765894
7Checkers412001001113-2211000007522010010048-430.3751119300125447386222137046769581739738562.50%12466.67%050994853.69%538102152.69%36371850.56%116439712237561765894
8Comets2020000035-21010000012-11010000023-100.0003690025447381722137046769311310268225.00%5340.00%050994853.69%538102152.69%36371850.56%116439712237561765894
9Condors2010000115-41010000003-31000000112-110.25012300254473812221370467692166343133.33%3166.67%050994853.69%538102152.69%36371850.56%116439712237561765894
10Crunch1010000026-41010000026-40000000000000.00024600254473817221370467692666312400.00%4250.00%050994853.69%538102152.69%36371850.56%116439712237561765894
11Griffins1000010012-11000010012-10000000000010.50012300254473811221370467691139153133.33%20100.00%050994853.69%538102152.69%36371850.56%116439712237561765894
12Gulls1010000024-2000000000001010000024-200.000235002544738622137046769101220100.00%110.00%050994853.69%538102152.69%36371850.56%116439712237561765894
13Heat42100010111012010001079-22200000041360.7501118290125447385222137046769812344814125.00%12283.33%050994853.69%538102152.69%36371850.56%116439712237561765894
14IceHogs21001000615100010002111100000040441.0006915012544738252213704676926320273133.33%5180.00%050994853.69%538102152.69%36371850.56%116439712237561765894
15Islanders200001106601000010023-11000001043130.7506101600254473855221370467696316830600.00%3233.33%050994853.69%538102152.69%36371850.56%116439712237561765894
16Marlies32001000734110000001012100100063361.000712190125447383422137046769581711435120.00%3166.67%050994853.69%538102152.69%36371850.56%116439712237561765894
17Moose310000023302000000202-21100000031240.6673690025447384022137046769301020343133.33%100100.00%050994853.69%538102152.69%36371850.56%116439712237561765894
18Penguins41200010550311000105411010000001-140.50058130025447385622137046769452032597228.57%6183.33%050994853.69%538102152.69%36371850.56%116439712237561765894
19Phantoms20000011660100000103211000000134-130.7506713002544738302213704676930511265240.00%3166.67%050994853.69%538102152.69%36371850.56%116439712237561765894
20Reign1010000013-21010000013-20000000000000.000123002544738192213704676937179105120.00%2150.00%050994853.69%538102152.69%36371850.56%116439712237561765894
21Roadrunners2110000056-1110000003211010000024-220.50058130025447385122137046769591818305120.00%4175.00%050994853.69%538102152.69%36371850.56%116439712237561765894
22Rocket2010000102-21010000001-11000000101-110.25000000254473824221370467692315432300.00%2150.00%050994853.69%538102152.69%36371850.56%116439712237561765894
23Senators20100001513-80000000000020100001513-810.25058130025447384722137046769511815295120.00%5180.00%150994853.69%538102152.69%36371850.56%116439712237561765894
24Silver Knights1010000034-1000000000001010000034-100.000347002544738142213704676924421311100.00%110.00%050994853.69%538102152.69%36371850.56%116439712237561765894
25Stars40200110914-52010001046-22010010058-330.375911200025447387222137046769923425625360.00%10370.00%050994853.69%538102152.69%36371850.56%116439712237561765894
26Thunderbirds21100000880110000005411010000034-120.5008142200254473858221370467697320283610220.00%40100.00%050994853.69%538102152.69%36371850.56%116439712237561765894
27Wolf Pack2110000056-11010000002-21100000054120.500571200254473828221370467692866427342.86%30100.00%050994853.69%538102152.69%36371850.56%116439712237561765894
28Wolves21100000651110000006241010000003-320.5006915002544738382213704676920611306233.33%330.00%050994853.69%538102152.69%36371850.56%116439712237561765894
Total68143202659149202-5335717013436996-27337150131680106-26570.419149233382142544738108122137046769125338158011041545133.12%1544868.83%350994853.69%538102152.69%36371850.56%116439712237561765894
_Since Last GM Reset68143202659149202-5335717013436996-27337150131680106-26570.419149233382142544738108122137046769125338158011041545133.12%1544868.83%350994853.69%538102152.69%36371850.56%116439712237561765894
_Vs Conference45111901554107130-2325610003425569-142059012125261-9430.478107168275132544738778221370467698862734087391033735.92%1082874.07%150994853.69%538102152.69%36371850.56%116439712237561765894
_Vs Division16714003333439-59380013219190746002011520-5260.813345185002544738253221370467692547990250411229.27%291258.62%050994853.69%538102152.69%36371850.56%116439712237561765894

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6857W114923338210811253381580110414
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6814322659149202
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3571713436996
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
33715131680106
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1545133.12%1544868.83%3
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
221370467692544738
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
50994853.69%538102152.69%36371850.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
116439712237561765894


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
14Penguins1Eagles3WSommaire du match
223Admirals6Eagles5LSommaire du match
550Eagles1Heat0WSommaire du match
664Americans7Eagles1LSommaire du match
772Eagles2Checkers5LSommaire du match
996Eagles3Marlies1WSommaire du match
10110Marlies0Eagles1WSommaire du match
11128Eagles6Admirals7LXXSommaire du match
12140Moose1Eagles0LXXSommaire du match
13156Eagles2Checkers3LXSommaire du match
14162Eagles3Moose1WSommaire du match
15177Eagles3Senators10LSommaire du match
16185Penguins2Eagles0LSommaire du match
18214Admirals3Eagles1LSommaire du match
19234Checkers0Eagles4WSommaire du match
20236Eagles2Americans5LSommaire du match
22265Wolves2Eagles6WSommaire du match
24281Heat5Eagles6WXXSommaire du match
26301Eagles2Comets3LSommaire du match
27316Stars5Eagles2LSommaire du match
29341Admirals2Eagles4WSommaire du match
30358Eagles2Roadrunners4LSommaire du match
31369Eagles0Rocket1LXXSommaire du match
32381Checkers5Eagles3LSommaire du match
33402Bruins3Eagles1LSommaire du match
34418Eagles3Bruins4LXSommaire du match
35431Crunch6Eagles2LSommaire du match
37448Eagles0Wolves3LSommaire du match
38466Bears4Eagles2LSommaire du match
39473Eagles1Barracuda2LXXSommaire du match
40488Eagles1Bears2LSommaire du match
41505Americans2Eagles1LXSommaire du match
42523Reign3Eagles1LSommaire du match
43541Eagles1Condors2LXXSommaire du match
44555Condors3Eagles0LSommaire du match
46578Eagles1Stars3LSommaire du match
47591Thunderbirds4Eagles5WSommaire du match
48603Eagles3Marlies2WXSommaire du match
49618Eagles2Canucks5LSommaire du match
50632Phantoms2Eagles3WXXSommaire du match
51652Barracuda1Eagles0LXXSommaire du match
52665Eagles2Senators3LXXSommaire du match
53680Eagles4Islanders3WXXSommaire du match
54691Penguins1Eagles2WXXSommaire du match
55709Eagles3Heat1WSommaire du match
57723Moose1Eagles0LXXSommaire du match
58744Islanders3Eagles2LXSommaire du match
59757Eagles3Phantoms4LXXSommaire du match
61777Heat4Eagles1LSommaire du match
62793Eagles4IceHogs0WSommaire du match
64804Eagles5Wolf Pack4WSommaire du match
65816Wolf Pack2Eagles0LSommaire du match
66837Canucks6Eagles2LSommaire du match
68857Eagles4Stars5LXSommaire du match
69870Griffins2Eagles1LXSommaire du match
70880Eagles2Admirals3LSommaire du match
72900Americans3Eagles2LSommaire du match
73919Eagles2Gulls4LSommaire du match
74932Rocket1Eagles0LSommaire du match
76947Eagles0Penguins1LSommaire du match
77962Eagles3Silver Knights4LSommaire du match
78970Stars1Eagles2WXXSommaire du match
80994Roadrunners2Eagles3WSommaire du match
811011Eagles3Americans1WSommaire du match
821024Comets2Eagles1LSommaire du match
831032Eagles3Thunderbirds4LSommaire du match
851051Eagles4Americans6LSommaire du match
861062IceHogs1Eagles2WXSommaire du match
881085Wolves-Eagles-
891099Eagles-Wild-
901115Gulls-Eagles-
911124Eagles-Penguins-
921140Eagles-Reign-
931153Stars-Eagles-
961180Monsters-Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981209Senators-Eagles-
991220Eagles-Monsters-
1001227Eagles-Heat-
1011241Eagles-Griffins-
1021245Eagles-Checkers-
1031255Wild-Eagles-
1041271Eagles-Moose-
1051283Marlies-Eagles-
1071303Eagles-Moose-
1081305Eagles-Crunch-
1101328Silver Knights-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance49,00525,958
Assistance PCT70.01%74.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 2142 - 71.39% 89,593$3,135,771$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,827,740$ 2,932,117$ 2,932,117$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
26,180$ 2,245,188$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
716,748$ 25 32,876$ 821,900$




Eagles 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

Eagles 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

Eagles 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

Eagles 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

Eagles 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