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Connexion

Islander
GP: 59 | W: 29 | L: 29 | OTL: 1 | P: 59
GF: 269 | GA: 288 | PP%: 24.39% | PK%: 76.07%
DG: Maxime Alain | Morale : 45 | Moyenne d’équipe : 62
Prochains matchs #766 vs Barracuda

Centre de jeu
Griffins
26-26-4, 56pts
3
6 Islander
29-29-1, 59pts
Team Stats
W1SéquenceL1
14-13-2Fiche domicile14-15-0
12-13-2Fiche domicile15-14-1
3-6-1Derniers 10 matchs4-6-0
3.75Buts par match 4.56
3.93Buts contre par match 4.88
16.08%Pourcentage en avantage numérique24.39%
79.62%Pourcentage en désavantage numérique76.07%
Senators
37-17-4, 78pts
11
5 Islander
29-29-1, 59pts
Team Stats
W1SéquenceL1
20-9-0Fiche domicile14-15-0
17-8-4Fiche domicile15-14-1
5-4-1Derniers 10 matchs4-6-0
4.84Buts par match 4.56
4.00Buts contre par match 4.88
26.69%Pourcentage en avantage numérique24.39%
76.21%Pourcentage en désavantage numérique76.07%
Barracuda
28-28-3, 59pts
Jour 122
Islander
29-29-1, 59pts
Statistiques d’équipe
W4SéquenceL1
14-14-1Fiche domicile14-15-0
14-14-2Fiche visiteur15-14-1
8-2-010 derniers matchs4-6-0
4.36Buts par match 4.56
4.80Buts contre par match 4.56
27.00%Pourcentage en avantage numérique24.39%
78.30%Pourcentage en désavantage numérique76.07%
Islander
29-29-1, 59pts
Jour 124
Condors
36-16-4, 76pts
Statistiques d’équipe
L1SéquenceW2
14-15-0Fiche domicile19-7-3
15-14-1Fiche visiteur17-9-1
4-6-010 derniers matchs8-1-1
4.56Buts par match 4.48
4.88Buts contre par match 4.48
24.39%Pourcentage en avantage numérique18.54%
76.07%Pourcentage en désavantage numérique77.11%
Islander
29-29-1, 59pts
Jour 125
Wranglers
24-31-3, 51pts
Statistiques d’équipe
L1SéquenceL1
14-15-0Fiche domicile14-14-1
15-14-1Fiche visiteur10-17-2
4-6-010 derniers matchs7-1-2
4.56Buts par match 3.67
4.88Buts contre par match 3.67
24.39%Pourcentage en avantage numérique25.13%
76.07%Pourcentage en désavantage numérique76.50%
Meneurs d'équipe
Buts
Austin Watson
39
Passes
Ben Thomson
64
Points
Ben Thomson
99
Plus/Moins
Ronnie Attard
7
Victoires
Chris Driedger
23
Pourcentage d’arrêts
Chris Driedger
0.861

Statistiques d’équipe
Buts pour
269
4.56 GFG
Tirs pour
1982
33.59 Avg
Pourcentage en avantage numérique
24.4%
50 GF
Début de zone offensive
35.8%
Buts contre
288
4.88 GAA
Tirs contre
1972
33.42 Avg
Pourcentage en désavantage numérique
76.1%%
56 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur généralMaxime Alain
EntraîneurDominique Ducharme
DivisionFritz-Kraatz
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,769
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 250
Espoirs0


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
1Austin WatsonX100.007728797170768077706977666872652660720281900,000$
2Ben ThomsonX100.007245737785687376687772696669603060720271900,000$
3Rhett Gardner (R)X100.008243767676658271707581666360503660720241900,000$
4Filip Zadina (R)X100.005837807561737478767875465948476060680213900,000$
5Connor Dewar (R)X100.005635827665735778666272556746475860660213750,000$
6Noah Cates (R)X100.008137687074548170576469676247455260660212500,000$
7Alex Steeves (R)X100.008039697371536970526862536343444660630212500,000$
8Jaden Lindo (R)X100.006936696268596368576368586447483442620241500,000$
9Jake Neighbours (R)X100.007448646373517163496465555740408246610182500,000$
10Steven Spinner (R)X100.007063656176647658616365425246463146610241500,000$
11Philip Tomasino (R)X100.005031676848656059796971435441417427600191500,000$
12Yegor Chinakhov (R)X100.005731666257566054575869376842437130560192500,000$
13Jake Walman (R)X100.006634887773747272487160795361503860720242950,000$
14Jakub Galvas (R)X100.007024797776747064456655826253465060700212600,000$
15Alexander Yelesin (R)X100.007833777568726363497357726062533360690242600,000$
16Casey Staum (R)X100.006635796768596359486653675648473960640222500,000$
17Ronnie Attard (R)X100.007140795258706866356370575145455660620211500,000$
18Ville Heinola (R)X100.005730726648496073277152554441416060580191500,000$
Rayé
1Kirill MarchenkoX100.006330797772746765605984576644435846670204600,000$
2Luke Tuch (R)X100.006735676275448067446857565040407827590182500,000$
3Marcus Davidsson (R)X100.006643736066575153646764506445484432590221500,000$
4Pavel Koltygin (R)X100.004936666653626350555268395044435119550211500,000$
5Danil Gushchin (R)X100.004926686451515160576150515940406320540182500,000$
6Wyatt Kaiser (R)X100.005531706744415469326343613140407321560182500,000$
7Samuel Knazko (R)X100.004319654147435844234746374240406920440182500,000$
MOYENNE D’ÉQUIPE100.00653673676561676554656457574846524663
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
1Chris Driedger99.00766575616480687356786251543173670261750,000$
2Connor Ingram100.00585746515357575649474344443657520231250,000$
Rayé
1Frederik Dichow100.00534558585452426149386341416421500191500,000$
MOYENNE D’ÉQUIPE99.6762566057576356635154564546445056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme69606975386555Can463800,000$


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
1Ben ThomsonIslander (NyI)LW59356499576097722406712214.58%36126121.371019293417621351123141.44%1116012001.5723000336
2Austin WatsonIslander (NyI)RW593953926400114752057412319.02%36127421.60721283017911241285146.95%1643432021.4403000830
3Rhett GardnerIslander (NyI)C5939529136801111262087513618.75%42131322.271311243317601191694348.80%20803630221.3923000558
4Filip ZadinaIslander (NyI)LW59303363-1318078571925510615.63%1898116.648311211351014533054.76%425915001.2800000452
5Connor DewarIslander (NyI)C59223052-151207479138538815.94%1597216.4727961260002603143.55%6362114001.0700000314
6Jake WalmanIslander (NyI)D5963339-2660701198948566.74%106164727.924913131930116210100%02747000.4701000100
7Alex SteevesIslander (NyI)C59112233-12300714812635758.73%1367311.41000000000321040.67%3271612000.9801000011
8Jakub GalvasIslander (NyI)D5952631-29380931318842275.68%87159026.96369111900003191010%02455000.3900000110
9Noah CatesIslander (NyI)LW59151631-73208250116495612.93%2967711.49000060000102132.14%282719000.9100000122
10Ross ColtonIslandersRW33111526-7100513958143618.97%1354716.591456750001301152.38%211210000.9500000033
11Kirill MarchenkoIslander (NyI)RW46121426260432495324912.63%1656912.38000436000181344.44%272213000.9100000100
12Alexander YelesinIslander (NyI)D5951823018074936722337.46%60116819.8113481250001135000%01938000.3900000002
13Jaden LindoIslander (NyI)RW50912210100553167273213.43%1352410.49000028000001133.33%2175000.8000000011
14Casey StaumIslander (NyI)D5921820024050705225143.85%57114919.4912321200110137000%0930000.3500000000
15Jake NeighboursIslander (NyI)LW5411617-260483471205015.49%104818.92000030003540041.67%121013000.7100000100
16Philip TomasinoIslander (NyI)C458513-1406134673117.39%42355.2300011000011062.03%7991001.1100000010
17Ronnie AttardIslander (NyI)D59391278030373614138.33%4068411.6000002000011000%0418000.3500000000
18Steven SpinnerIslander (NyI)RW46088-14802810173180%53216.9800002000000044.44%917000.5000000000
19Ville HeinolaIslander (NyI)D59077630017221911100%3168111.5600001000019000%0023000.2100000000
20Yegor ChinakhovIslander (NyI)RW33044-1206510250%01223.72000030000120040.00%1551000.6500000000
21Marcus DavidssonIslander (NyI)C38044120109219110%32035.3600001000010055.74%6151000.3900000000
22Slater KoekkoekIslandersD2033500355230%45025.260111801103000%010001.1900000000
23Wyatt KaiserIslander (NyI)D27011-160142200%4953.540000000001000%002000.2100000000
24Luke TuchIslander (NyI)LW31000-1401457140%2722.34000020000130033.33%62100000000000
25Danil GushchinIslander (NyI)LW24000020000000%0180.77000000000160033.33%61000000000000
26Samuel KnazkoIslander (NyI)D16000000110100%1493.120000000000000%00000000000000
27Pavel KoltyginIslander (NyI)LW25000000000000%040.1800000000020033.33%30000000000000
Statistiques d’équipe totales ou en moyenne1237263453716-944600122711591975690109813.32%6451737414.05508613617016014610391420261346.96%3648411399240.82411000282629
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
1Chris DriedgerIslander (NyI)52232110.8614.412695201981426682401.00084712201
2Connor IngramIslander (NyI)184600.8177.2455500673662012000737000
3Kaapo KahkonenIslanders11000.9412.00600023420000010000
4Frederik DichowIslander (NyI)51200.8564.962540021146931000410000
Statistiques d’équipe totales ou en moyenne76292910.8544.8535652028819729967085959201


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 SteevesIslander (NyI)C211999-01-01USAYes185 Lbs5 ft11NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Alexander YelesinIslander (NyI)D241996-01-01RUSYes195 Lbs6 ft0NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm600,000$173,964$0$0$No600,000$--------600,000$--------No--------Lien
Austin WatsonIslander (NyI)RW281992-01-01USANo193 Lbs6 ft4NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Ben ThomsonIslander (NyI)LW271993-01-01CANNo205 Lbs6 ft3NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Casey StaumIslander (NyI)D221998-01-01USAYes181 Lbs6 ft0NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Chris DriedgerIslander (NyI)G261994-01-01CANNo187 Lbs6 ft2NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm750,000$217,456$0$0$No---------------------------Lien
Connor DewarIslander (NyI)C211999-01-01CANYes183 Lbs5 ft10NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm750,000$217,456$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Connor IngramIslander (NyI)G231997-01-01CANNo196 Lbs6 ft2NoNoFree AgentNoNo12025-12-03FalseFalseFarm Only250,000$72,485$0$0$No---------------------------Lien
Danil GushchinIslander (NyI)LW182002-01-01RUSYes165 Lbs5 ft8NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Filip ZadinaIslander (NyI)LW211999-01-01CZEYes197 Lbs6 ft0NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm900,000$260,947$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Frederik DichowIslander (NyI)G192001-01-01SWENo192 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Jaden LindoIslander (NyI)RW241996-01-01CANYes215 Lbs6 ft2NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Jake NeighboursIslander (NyI)LW182002-01-01CANYes195 Lbs5 ft11NoNoTrade2025-11-04NoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Jake WalmanIslander (NyI)D241996-01-01RUSYes180 Lbs6 ft0NoNoTrade2024-09-24NoNo22024-08-21FalseFalsePro & Farm950,000$275,444$0$0$No950,000$--------950,000$--------No--------Lien
Jakub GalvasIslander (NyI)D211999-01-01CZEYes161 Lbs5 ft11NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm600,000$173,964$0$0$No600,000$--------600,000$--------No--------Lien
Kirill MarchenkoIslander (NyI)RW202000-01-01RUSNo187 Lbs6 ft3NoNoFree Agent2025-03-17NoNo42025-09-30FalseFalsePro & Farm600,000$173,964$0$0$No700,000$800,000$900,000$------700,000$800,000$900,000$------NoNoNo------Lien
Luke TuchIslander (NyI)LW182002-01-01USAYes203 Lbs6 ft2NoNoTrade2025-11-04NoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Marcus DavidssonIslander (NyI)C221998-01-01SWEYes198 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Noah CatesIslander (NyI)LW211999-01-01USAYes179 Lbs6 ft1NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Pavel KoltyginIslander (NyI)LW211999-01-01RUSYes176 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Philip TomasinoIslander (NyI)C192001-01-01CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Rhett GardnerIslander (NyI)C241996-01-01CANYes225 Lbs6 ft3NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Ronnie AttardIslander (NyI)D211999-01-01USAYes207 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Samuel KnazkoIslander (NyI)D182002-01-01SVKYes181 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Steven SpinnerIslander (NyI)RW241996-01-01USAYes202 Lbs6 ft0NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Ville HeinolaIslander (NyI)D192001-01-01FINYes181 Lbs6 ft0NoNoTrade2025-03-17NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Wyatt KaiserIslander (NyI)D182002-01-01USAYes173 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Yegor ChinakhovIslander (NyI)RW192001-01-01RUSYes178 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2821.46189 Lbs6 ft11.68592,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben ThomsonRhett GardnerAustin Watson40122
2Filip ZadinaConnor DewarJaden Lindo30122
3Noah CatesAlex SteevesSteven Spinner20122
4Jake NeighboursPhilip TomasinoYegor Chinakhov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJakub Galvas40122
2Alexander YelesinCasey Staum30122
3Ronnie AttardVille Heinola20122
4Jake WalmanJakub Galvas10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben ThomsonRhett GardnerAustin Watson60122
2Filip ZadinaConnor DewarJaden Lindo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJakub Galvas60122
2Alexander YelesinCasey Staum40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rhett GardnerBen Thomson60122
2Connor DewarFilip Zadina40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJakub Galvas60122
2Alexander YelesinCasey Staum40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rhett Gardner60122Jake WalmanJakub Galvas60122
2Connor Dewar40122Alexander YelesinCasey Staum40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rhett GardnerBen Thomson60122
2Connor DewarFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJakub Galvas60122
2Alexander YelesinCasey Staum40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben ThomsonRhett GardnerAustin WatsonJake WalmanJakub Galvas
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben ThomsonRhett GardnerAustin WatsonJake WalmanJakub Galvas
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Cates, Connor Dewar, Alex SteevesNoah Cates, Connor DewarNoah Cates
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Staum, Ronnie Attard, Ville HeinolaCasey StaumCasey Staum, Ronnie Attard
Tirs de pénalité
Austin Watson, Ben Thomson, Rhett Gardner, Filip Zadina, Noah Cates
Gardien
#1 : Chris Driedger, #2 : Connor Ingram
Lignes d’attaque personnalisées en prolongation
Austin Watson, Ben Thomson, Rhett Gardner, Filip Zadina, Noah Cates, Connor Dewar, Alex Steeves, Jaden Lindo, Steven Spinner, Jake Neighbours
Lignes de défense personnalisées en prolongation
Jake Walman, Jakub Galvas, Alexander Yelesin, Casey Staum, Ronnie Attard


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
1Admirals303000001316-31010000045-120200000911-200.00013213400798497101066606806252610635327610330.00%16568.75%0623131147.52%602128446.88%504106447.37%122868112775451064526
2Americans5410000029171243100000231581100000062480.800295281007984971017366068062526171513610518316.67%18572.22%2623131147.52%602128446.88%504106447.37%122868112775451064526
3Bears20200000610-41010000025-31010000045-100.0006121800798497106266068062526741920574250.00%10190.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
4Canucks302001001020-101010000035-220100100715-810.16710182800798497109666068062526912624759222.22%12283.33%0623131147.52%602128446.88%504106447.37%122868112775451064526
5Checkers1010000001-1000000000001010000001-100.000000007984971035660680625262511628500.00%30100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
6Comets11000000431110000004310000000000021.00046100079849710366606806252636186202150.00%30100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
7Condors202000001115-4202000001115-40000000000000.00011182900798497106966068062526821616377457.14%8362.50%0623131147.52%602128446.88%504106447.37%122868112775451064526
8Crunch1010000028-6000000000001010000028-600.0002350079849710326606806252634132152150.00%10100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
9Eagles10001000981100010009810000000000021.0009162500798497104366068062526301212165120.00%6516.67%0623131147.52%602128446.88%504106447.37%122868112775451064526
10Firebirds21001000853110000004221000100043141.00081220007984971056660680625265121205311218.18%10190.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
11Griffins312000001214-21100000063320200000611-520.3331219310079849710106660680625268726246712216.67%12191.67%0623131147.52%602128446.88%504106447.37%122868112775451064526
12Gulls22000000936110000005231100000041341.00091524007984971077660680625266437442500.00%20100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
13Icehogs1010000027-5000000000001010000027-500.000246007984971022660680625263164175120.00%20100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
14Little Stars6320001027198312000001413132000010136780.667274673007984971020666068062526201773811427829.63%19194.74%0623131147.52%602128446.88%504106447.37%122868112775451064526
15Marlies21100000111101010000057-21100000064220.50011162700798497105766068062526732118455120.00%10280.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
16Moose330000002313102200000016881100000075261.00023386100798497101106606806252610136185916743.75%90100.00%1623131147.52%602128446.88%504106447.37%122868112775451064526
17Penguins413000001725-81010000046-2312000001319-620.25017294600798497101466606806252613244387913215.38%19573.68%0623131147.52%602128446.88%504106447.37%122868112775451064526
18Punishers201000101115-410100000510-51000001065120.50011172800798497107366068062526821718445240.00%9455.56%0623131147.52%602128446.88%504106447.37%122868112775451064526
19Roadrunners3010200017170201010001213-11000100054140.66717304700798497101066606806252610226206112216.67%10550.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
20Rockets2100100014104110000007431000100076141.00014233700798497107566068062526652318365240.00%9455.56%0623131147.52%602128446.88%504106447.37%122868112775451064526
21Senators523000002230-820200000716-9321000001514140.40022416300798497101586606806252617259487915320.00%24770.83%1623131147.52%602128446.88%504106447.37%122868112775451064526
22Thunderbirds30200010614-81010000015-42010001059-420.333691500798497107866068062526932922728112.50%11463.64%0623131147.52%602128446.88%504106447.37%122868112775451064526
23Wolfpack2010100067-1100010003211010000035-220.500610160079849710606606806252669222038400.00%11190.91%0623131147.52%602128446.88%504106447.37%122868112775451064526
Total59202906130269288-1929111503000145147-23091403130124141-17590.5002694557240079849710198266068062526197264546412352055024.39%2345676.07%4623131147.52%602128446.88%504106447.37%122868112775451064526
_Since Last GM Reset59202906130269288-1929111503000145147-23091403130124141-17590.5002694557240079849710198266068062526197264546412352055024.39%2345676.07%4623131147.52%602128446.88%504106447.37%122868112775451064526
_Vs Conference38122002130177193-16206130100098110-121867011307983-4350.461177306483007984971012596606806252613063972967961363827.94%1483775.00%4623131147.52%602128446.88%504106447.37%122868112775451064526
_Vs Division169600010786612945000004444075100010342212200.62578139217007984971053766068062526544187122298601423.33%611378.69%3623131147.52%602128446.88%504106447.37%122868112775451064526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5959L126945572419821972645464123500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5920296130269288
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2911153000145147
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
309143130124141
Derniers 10 matchs
WLOTWOTL SOWSOL
162010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2055024.39%2345676.07%4
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
6606806252679849710
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
623131147.52%602128446.88%504106447.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
122868112775451064526


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
12Islander6Americans2WSommaire du match
318Islander6Penguins2WSommaire du match
424Americans2Islander4WSommaire du match
534Islander4Little Stars1WSommaire du match
748Senators5Islander2LSommaire du match
961Islander6Little Stars3WSommaire du match
1174Americans5Islander4LSommaire du match
1276Islander7Senators5WSommaire du match
16102Little Stars5Islander3LSommaire du match
18117Little Stars2Islander6WSommaire du match
20129Islander3Griffins7LSommaire du match
22137Islander0Thunderbirds5LSommaire du match
24152Wolfpack2Islander3WXSommaire du match
26165Islander4Senators3WSommaire du match
28176Islander6Punishers5WXXSommaire du match
29182Roadrunners8Islander6LSommaire du match
32197Islander4Canucks5LXSommaire du match
35208Moose3Islander9WSommaire du match
38229Canucks5Islander3LSommaire du match
40246Admirals5Islander4LSommaire du match
43258Islander4Gulls1WSommaire du match
45273Islander4Senators6LSommaire du match
47283Penguins6Islander4LSommaire du match
49299Islander7Rockets6WXSommaire du match
51309Americans5Islander8WSommaire du match
54328Thunderbirds5Islander1LSommaire du match
56344Islander0Checkers1LSommaire du match
57352Islander5Roadrunners4WXSommaire du match
59362Eagles8Islander9WXSommaire du match
61380Americans3Islander7WSommaire du match
64393Islander2Crunch8LSommaire du match
65405Comets3Islander4WSommaire du match
68423Islander3Little Stars2WXXSommaire du match
69432Little Stars6Islander5LSommaire du match
72450Marlies7Islander5LSommaire du match
74463Islander6Marlies4WSommaire du match
76475Islander2Icehogs7LSommaire du match
78483Condors8Islander6LSommaire du match
80502Rockets4Islander7WSommaire du match
81508Islander4Bears5LSommaire du match
84526Islander3Griffins4LSommaire du match
85534Moose5Islander7WSommaire du match
87546Islander5Admirals6LSommaire du match
89558Condors7Islander5LSommaire du match
91569Islander4Admirals5LSommaire du match
93584Gulls2Islander5WSommaire du match
95595Islander7Moose5WSommaire du match
97607Islander3Wolfpack5LSommaire du match
99618Firebirds2Islander4WSommaire du match
101636Bears5Islander2LSommaire du match
102642Islander3Penguins7LSommaire du match
104660Islander5Thunderbirds4WXXSommaire du match
105665Islander4Penguins10LSommaire du match
107676Punishers10Islander5LSommaire du match
110695Roadrunners5Islander6WXSommaire du match
112707Islander4Firebirds3WXSommaire du match
115724Islander3Canucks10LSommaire du match
116728Griffins3Islander6WSommaire du match
119750Senators11Islander5LSommaire du match
122766Barracuda-Islander-
124782Islander-Condors-
125789Islander-Wranglers-
127801Checkers-Islander-
129809Islander-Comets-
131824Senators-Islander-
132831Islander-Little Stars-
134843Islander-Wranglers-
136855Crunch-Islander-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138868Islander-Eagles-
140881Eagles-Islander-
143902Checkers-Islander-
144904Islander-Barracuda-
147920Islander-Americans-
148925Islander-Punishers-
149936Bears-Islander-
153960Wranglers-Islander-
155974Islander-Americans-
157987Wolfpack-Islander-
1631012Icehogs-Islander-
1661030Icehogs-Islander-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance53,24527,059
Assistance PCT91.80%93.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2769 - 92.30% 174,137$5,049,987$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,780,997$ 1,660,000$ 1,660,000$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,822$ 1,207,592$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,915,512$ 49 14,556$ 713,244$




Islander 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

Islander 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

Islander 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

Islander 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

Islander 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