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New York Islanders
GP: 12 | W: 6 | L: 5 | OTL: 1 | P: 17
GF: 29 | GA: 33 | PP%: 12.77% | PK%: 80.49%
DG: Tim | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #179 vs Montreal Canadiens

Centre de jeu
New York Islanders
6-5-1, 17pts
1
3 Quebec Nordiques
6-5-1, 19pts
Team Stats
W1SéquenceW2
3-2-1Fiche domicile4-3-1
3-3-0Fiche visiteur2-2-0
5-5-0Derniers 10 matchs5-4-1
2.42Buts par match 3.08
2.75Buts contre par match 3.08
12.77%Pourcentage en avantage numérique21.21%
80.49%Pourcentage en désavantage numérique82.61%
Ottawa Senators
4-5-3, 15pts
1
3 New York Islanders
6-5-1, 17pts
Team Stats
L1SéquenceW1
3-1-2Fiche domicile3-2-1
1-4-1Fiche visiteur3-3-0
2-5-3Derniers 10 matchs5-5-0
2.67Buts par match 2.42
3.50Buts contre par match 2.75
17.02%Pourcentage en avantage numérique12.77%
81.67%Pourcentage en désavantage numérique80.49%
New York Islanders
6-5-1, 17pts
Jour 30
Montreal Canadiens
8-3-1, 25pts
Statistiques d’équipe
W1SéquenceW1
3-2-1Fiche domicile4-3-0
3-3-0Fiche visiteur4-0-1
5-5-010 derniers matchs8-1-1
2.42Buts par match 3.92
2.75Buts contre par match 3.92
12.77%Pourcentage en avantage numérique25.58%
80.49%Pourcentage en désavantage numérique84.21%
New York Islanders
6-5-1, 17pts
Jour 32
Pittsburgh Penguins
6-6-0, 15pts
Statistiques d’équipe
W1SéquenceL1
3-2-1Fiche domicile2-3-0
3-3-0Fiche visiteur4-3-0
5-5-010 derniers matchs5-5-0
2.42Buts par match 3.08
2.75Buts contre par match 3.08
12.77%Pourcentage en avantage numérique12.50%
80.49%Pourcentage en désavantage numérique80.00%
Philadelphia Flyers
4-6-2, 14pts
Jour 34
New York Islanders
6-5-1, 17pts
Statistiques d’équipe
OTL1SéquenceW1
3-2-1Fiche domicile3-2-1
1-4-1Fiche visiteur3-3-0
4-4-210 derniers matchs5-5-0
2.67Buts par match 2.42
3.08Buts contre par match 2.42
19.05%Pourcentage en avantage numérique12.77%
76.67%Pourcentage en désavantage numérique80.49%
Meneurs d'équipe
Buts
John Tavares
6
Passes
Mathew Barzal
5
Points
Mathew Barzal
10
Plus/Moins
John Tavares
5
Victoires
Igor Shesterkin
5
Pourcentage d’arrêts
Igor Shesterkin
0.933

Statistiques d’équipe
Buts pour
29
2.42 GFG
Tirs pour
349
29.08 Avg
Pourcentage en avantage numérique
12.8%
6 GF
Début de zone offensive
38.1%
Buts contre
33
2.75 GAA
Tirs contre
419
34.92 Avg
Pourcentage en désavantage numérique
80.5%%
8 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralTim
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineSeth Jones
Assistant #1Filip Forsberg
Assistant #2Jack Eichel


Informations de l’aréna

NomUBS Arena
Capacité18,000
Assistance15,128
Billets de saison8,100


Informations de la formation

Équipe Pro22
Équipe Mineure24
Limite contact 46 / 250
Espoirs34


Finance

Revenu annuel à ce jour6,679,489$
Dépenses annuelles à ce jour12,432,636$
Revenus de la saison estimés37,850,438$
Dépenses de la saison estimées74,135,348$
Compte bancaire actuel80,912,667$
Compte bancaire projeté45,744,596$


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
1Mathew Barzal0X100.00724288967296999197929072887779554083028113,067,000$
2Jack Eichel (A)0X100.00715084917794988595909078847082554082N02817,000,000$
3Filip Forsberg (A)0X100.0084508793729190817090907283798455408103028,000,000$
4Matthew Tkachuk0X100.0089477490759094856987897383747255408002725,750,000$
5John Tavares0X100.0067487978768794859484816774817855407703413,800,000$
6Nazem Kadri0X100.00744786886389927667818167778166554075N03425,750,000$
7Kent Johnson (R)0X100.0050358595638686775080826482657555407402231,750,000$
8Yegor Chinakhov (R)0X100.0063458784838383765373827478707855407402421,000,000$
9Jesse Puljujarvi0X100.0078508377858688745775727273748155407302723,000,000$
10Parker Kelly0X100.009956568573788669577172757473695540730263750,000$
11Nick Paul0X100.009356776398818367817067766679775540710302560,000$
12Dryden Hunt0X100.009351777370797966656869706978725540690294660,000$
13Seth Jones (C)0X100.0070509388959699805083709070798755408203036,850,000$
14Rasmus Sandin0X100.0087409199688691805082747977718055407902544,000,000$
15Adam Boqvist0X100.0075478199748786815093797178697255407802413,825,000$
16Ryan Murray0X100.0059509177879497765085728168808255407703124,000,000$
17Gustav Forsling0X100.0059448488748387755981757476787855407502941,750,000$
18Travis Hamonic0X100.0088477173858890715074667466817955407503411,220,000$
Rayé
1Michael Dal Colle0X100.008546807480798267797167716978745540700292550,000$
2Ryan McDonagh0X100.007147846389808161506459765584845540710361500,000$
Équipe Mineure
1Nick Robertson (R)0X100.0059438388657786726072807477687555407302321,000,000$
2Jake Neighbours (R)0X100.008762737880838867687168707168705540710231900,000$
3Justin Florek0X100.006248746877777666647269626884775540680351525,000$
4Kaspars Daugavins0X100.007048746865787865636967596586825540670371500,000$
5Mavrik Bourque (R)0X100.0057408281617979647767656768687855406702331,000,000$
6Cole Guttman0X100.005330808450758260766465706875675540660263525,000$
7Dmytro Timashov0X100.008922767352747462576565686570675540660281500,000$
8Matt Luff0X100.006846776879717060726364736377685540660281520,000$
9MIKKEL AAGAARD0X100.006038677867606066756671647074745240660291250,000$
10Justin Kloos0X100.005340808053706964556565696878605540650312550,000$
11Liam Foudy0X100.005140817376687660506359716373745540650254610,000$
12Milos Kelemen0X100.006547796580637160566159706073685540640254525,000$
13Pavel Mintyukov (R)0X100.0079468294808793825084707074637855407702121,500,000$
14Mirco Mueller0X99.005739837778777870507365746578685540700303500,000$
15Tim Berni0X100.009142787773778561506260625970705540690254675,000$
16Victor Antipin0X100.005436798763808072507565636879645540690321699,000$
17Akito Hirose0X100.005737808862758066507061666575625540680263500,000$
18Olli Juolevi0X100.005440778072697462505859676072645540660272510,000$
19Luke Adam0X100.006748766377798065776967656584775540670351500,000$
20PATRIK PUISTOLA0X100.005038718369606072637172647467675240670241250,000$
21Keaton Middleton0X100.006465706099666661506359695476765540660272500,000$
MOYENNE D’ÉQUIPE99.98704580807480837162747171707574554072
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
1Igor Shesterkin097.008583888090888890908787786755408302934,000,000$
2Darcy Kuemper0100.006978798879838482828383857255407903513,000,000$
Rayé
Équipe Mineure
1Nico Daws (R)096.008080808683828385858282696155407902443,500,000$
2Jakub Dobes (R)0100.00777075867675767878757670575540730243700,000$
3NICLAS WESTERHOLM0100.00716060827473747474737272605240700271261,000$
MOYENNE D’ÉQUIPE98.6076747684808081828280807563544077
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mathew BarzalNew York IslandersC125510-300231730111616.67%321417.89325645000000156.38%24361000.9301000201
2Filip ForsbergNew York IslandersRW12358-1952315346148.82%1021117.610224420000120053.33%1523000.7600001010
3Jack EichelNew York IslandersC12358-44035303515268.57%623719.831013350001371148.80%250132000.6711000201
4John TavaresNew York IslandersC126175211515162982020.69%516513.7900009000180250.00%13822100.8500102001
5Matthew TkachukNew York IslandersLW12347012034103312169.09%422118.48213544000191038.46%1355000.6300000010
6Kent JohnsonNew York IslandersLW12235-380913248198.33%219916.590224380000110050.00%4112000.5000000000
7Nazem KadriNew York IslandersRW12145-255229245174.17%520717.280110260000321030.00%1054000.4800001010
8Adam BoqvistNew York IslandersD12044-46019821890%1324920.77000349000011000%068000.3200000001
9Gustav ForslingNew York IslandersD12044-1405188740%620216.91000010000122000%0312000.3900000000
10Ryan MurrayNew York IslandersD1204430042212860%2428223.55011138000039000%048000.2800000000
11Jesse PuljujarviNew York IslandersRW12213340171474128.57%315312.7700000000030058.33%1211000.3900000000
12Yegor ChinakhovNew York IslandersRW121231401112188135.56%820116.790001320000160040.00%1555000.3000000000
13Rasmus SandinNew York IslandersD12022220191418780%622618.8900013200004000%048000.1800000000
14Seth JonesNew York IslandersD12022-555820135110%2225821.5000000000039000%047000.1600001000
15Travis HamonicNew York IslandersD12022-123520177140%718815.6800000000020000%013000.2100010010
16Dryden HuntNew York IslandersRW4011020224000%14411.1000001000000044.44%902000.4500000000
17Nick PaulNew York IslandersC10101-12091080412.50%0909.0900000000061044.74%3812000.2200000000
18Parker KellyNew York IslandersLW12101-3115194215124.76%61078.96000000000010100.00%174000.1900010000
19Michael Dal ColleNew York IslandersC10000-100943010%0868.6900000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne216284977-15122403032553491182018.02%131354916.4369152840900042775450.93%7508079100.4312125444
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
1Igor ShesterkinNew York Islanders95300.9332.315190020297136120084211
2Darcy KuemperNew York Islanders41210.9162.93205001011949011.000348001
Statistiques d’équipe totales ou en moyenne136510.9282.4972400304161851331212212


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Adam Boqvist (contrat à 1 volet)New York IslandersD242000-08-15SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,825,000$3,275,665$0$0$No---------------------------Lien
Darcy Kuemper (contrat à 1 volet)New York IslandersG351990-05-05CANNo216 Lbs6 ft5NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm3,000,000$2,569,149$0$0$No---------------------------Lien
Dryden HuntNew York IslandersRW291995-11-24CANNo192 Lbs6 ft0NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm660,000$565,213$0$0$No660,000$660,000$660,000$------660,000$660,000$660,000$------NoNoNo------Lien
Filip Forsberg (contrat à 1 volet)New York IslandersRW301994-08-13SWENo205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm8,000,000$6,851,064$0$0$No8,000,000$--------8,000,000$--------No--------Lien
Gustav ForslingNew York IslandersD291996-06-12SWENo198 Lbs6 ft0NoNoTrade2025-12-19NoNo42025-10-17FalseFalsePro & Farm1,750,000$1,498,670$0$0$No1,750,000$1,750,000$1,750,000$------1,750,000$1,750,000$1,750,000$------NoNoNo------Lien
Igor Shesterkin (contrat à 1 volet)New York IslandersG291995-12-30RUSNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,000,000$3,425,532$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien
Jack Eichel (contrat à 1 volet)New York IslandersC281996-10-28USANo203 Lbs6 ft2YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only7,000,000$5,994,681$0$0$No---------------------------Lien
Jesse Puljujarvi (contrat à 1 volet)New York IslandersRW271998-05-07FINNo201 Lbs6 ft4NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm3,000,000$2,569,149$0$0$No3,000,000$--------3,000,000$--------No--------Lien
John Tavares (contrat à 1 volet)New York IslandersC341990-09-20CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,800,000$3,254,255$0$0$No---------------------------Lien
Kent JohnsonNew York IslandersLW222002-10-18CANYes175 Lbs6 ft0NoNoFree AgentNoNo32025-11-20FalseFalsePro & Farm1,750,000$1,498,670$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Mathew Barzal (contrat à 1 volet)New York IslandersC281997-05-26CANNo187 Lbs6 ft1NoNoTrade2025-12-19NoNo12025-09-30FalseFalsePro & Farm13,067,000$11,190,356$0$0$No---------------------------Lien
Matthew Tkachuk (contrat à 1 volet)New York IslandersLW271997-12-11USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm5,750,000$4,924,202$0$0$No5,750,000$--------5,750,000$--------No--------Lien
Michael Dal ColleNew York IslandersC291996-06-20CANNo195 Lbs6 ft3NoNoTrade2025-12-18NoNo22025-10-24FalseFalsePro & Farm550,000$471,011$0$0$No550,000$--------550,000$--------No--------
Nazem Kadri (contrat à 1 volet)New York IslandersRW341990-10-06CANNo192 Lbs6 ft0YesNoFree AgentNoNo22025-10-11FalseFalsePro Only5,750,000$4,924,202$0$0$No5,750,000$--------5,750,000$--------Yes--------Lien
Nick PaulNew York IslandersC301995-03-20CANNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm560,000$479,574$0$0$No560,000$--------560,000$--------No--------Lien
Parker KellyNew York IslandersLW261999-05-14CANNo187 Lbs6 ft0NoNoTrade2025-12-19NoNo32025-10-24FalseFalsePro & Farm750,000$642,287$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Rasmus Sandin (contrat à 1 volet)New York IslandersD252000-03-07SWENo179 Lbs5 ft11NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm4,000,000$3,425,532$0$0$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Lien
Ryan McDonaghNew York IslandersD361989-06-13USANo214 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Ryan Murray (contrat à 1 volet)New York IslandersD311993-09-27CANNo206 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm4,000,000$3,425,532$0$0$No4,000,000$--------4,000,000$--------No--------Lien
Seth Jones (contrat à 1 volet)New York IslandersD301994-10-03USANo209 Lbs6 ft4NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm6,850,000$5,866,223$0$0$No6,850,000$6,850,000$-------6,850,000$6,850,000$-------NoNo-------Lien
Travis HamonicNew York IslandersD341990-08-16CANNo205 Lbs6 ft2NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm1,220,000$1,044,787$0$0$No---------------------------Lien
Yegor ChinakhovNew York IslandersRW242001-02-01RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$856,383$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.14199 Lbs6 ft22.143,671,909$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
80,782,000$48,370,000$19,760,000$6,410,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukMathew BarzalFilip Forsberg30014
2Kent JohnsonJack EichelYegor Chinakhov28014
3Jesse PuljujarviJohn TavaresNazem Kadri26023
4Parker KellyNick PaulDryden Hunt16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRasmus Sandin34122
2Adam BoqvistRyan Murray32032
3Gustav ForslingTravis Hamonic27122
4Seth JonesRyan Murray7050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kent JohnsonMathew BarzalFilip Forsberg60005
2Matthew TkachukJack EichelJohn Tavares40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistGustav Forsling60005
2Rasmus SandinYegor Chinakhov40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack EichelKent Johnson60050
2John TavaresJesse Puljujarvi40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRyan Murray60050
2Rasmus SandinAdam Boqvist40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Eichel60050Ryan MurrayGustav Forsling60050
2Yegor Chinakhov40041Adam BoqvistRasmus Sandin40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mathew BarzalJack Eichel60014
2John TavaresFilip Forsberg40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRyan Murray60032
2Adam BoqvistRasmus Sandin40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack EichelMathew BarzalFilip ForsbergSeth JonesAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew TkachukJack EichelJesse PuljujarviSeth JonesRyan Murray
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Forsberg, Mathew Barzal, Jack EichelKent Johnson, John TavaresFilip Forsberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Jones, Ryan Murray, Rasmus SandinRasmus SandinTravis Hamonic, Seth Jones
Tirs de pénalité
Jack Eichel, Mathew Barzal, Filip Forsberg, Matthew Tkachuk, Kent Johnson
Gardien
#1 : Darcy Kuemper, #2 : Igor Shesterkin, #3 : 0
Lignes d’attaque personnalisées en prolongation
Mathew Barzal, Filip Forsberg, Matthew Tkachuk, Jack Eichel, John Tavares, Yegor Chinakhov, Kent Johnson, Nazem Kadri, Jesse Puljujarvi, Parker Kelly
Lignes de défense personnalisées en prolongation
Seth Jones, Rasmus Sandin, Adam Boqvist, Gustav Forsling, Ryan Murray


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
1Anaheim Mighty Ducks10000010431100000104310000000000020.66745900111132131353431111295120.00%3166.67%014528151.60%15629552.88%8116250.00%2414229189
2Boston Bruins1010000014-31010000014-30000000000000.000123001000288164041101436700.00%2150.00%014528151.60%15629552.88%8116250.00%2212228158
3Carolina Hurricanes11000000422000000000001100000042231.000481200013030216120361715312150.00%5180.00%014528151.60%15629552.88%8116250.00%2213228157
4Florida Panthers1010000025-3000000000001010000025-300.000224001100206950361115304125.00%5180.00%014528151.60%15629552.88%8116250.00%2010229178
5New Jersey Devils1010000013-21010000013-20000000000000.0001231000103275200429618200.00%30100.00%014528151.60%15629552.88%8116250.00%2112218168
6New York Rangers11000000431000000000001100000043131.000461000130030613110391612224125.00%6266.67%014528151.60%15629552.88%8116250.00%2011249157
7Ottawa Senators11000000312110000003120000000000031.00035800030032101012039118174125.00%40100.00%014528151.60%15629552.88%8116250.00%2012229178
8Quebec Nordiques1010000013-2000000000001010000013-200.000123100100368181003281428700.00%20100.00%014528151.60%15629552.88%8116250.00%2415188179
9Seattle Kraken11000000312110000003120000000000031.00035800102029951502872243133.33%10100.00%014528151.60%15629552.88%8116250.00%2112198189
10Tampa Bay Lightning1010000024-2000000000001010000024-200.0002461001103115106022101227100.00%6266.67%014528151.60%15629552.88%8116250.00%2213209178
11Toronto Maple Leafs1000010012-11000010012-10000000000010.33312300001022510702711619100.00%30100.00%014528151.60%15629552.88%8116250.00%2111219188
12Vancouver Canucks10001000321000000000001000100032120.66736900002127146613410722700.00%10100.00%014528151.60%15629552.88%8116250.00%22121991810
Total1245011102933-4622001101314-1623010001619-3170.47229497830511112349103131113441913112230347612.77%41880.49%014528151.60%15629552.88%8116250.00%263152257107205104
_Since Last GM Reset1245011102933-4622001101314-1623010001619-3170.47229497830511112349103131113441913112230347612.77%41880.49%014528151.60%15629552.88%8116250.00%263152257107205104
_Vs Conference935001001927-841200100610-4523000001317-4100.37019335230310602616710787031410310222832412.50%36780.56%014528151.60%15629552.88%8116250.00%1931121968015074
_Vs Division624000001421-72020000027-5422000001214-260.3331424382036501714469580216737416420315.00%27774.07%014528151.60%15629552.88%8116250.00%12873133529849

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1217W129497834941913112230330
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
124511102933
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62201101314
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62310001619
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
47612.77%41880.49%0
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
1031311134511112
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
14528151.60%15629552.88%8116250.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
263152257107205104


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
14New York Islanders4Carolina Hurricanes2WSommaire du match
321Toronto Maple Leafs2New York Islanders1LXSommaire du match
530Boston Bruins4New York Islanders1LSommaire du match
746New York Islanders2Florida Panthers5LSommaire du match
962New Jersey Devils3New York Islanders1LSommaire du match
1175New York Islanders4New York Rangers3WSommaire du match
1388New York Islanders2Tampa Bay Lightning4LSommaire du match
15100Anaheim Mighty Ducks3New York Islanders4WXXSommaire du match
18122Seattle Kraken1New York Islanders3WSommaire du match
20134New York Islanders3Vancouver Canucks2WXSommaire du match
24150New York Islanders1Quebec Nordiques3LSommaire du match
26159Ottawa Senators1New York Islanders3WSommaire du match
30179New York Islanders-Montreal Canadiens-
32190New York Islanders-Pittsburgh Penguins-
34198Philadelphia Flyers-New York Islanders-
37214Hamilton Mustangs-New York Islanders-
40228New York Islanders-Hamilton Mustangs-
44242New York Islanders-Philadelphia Flyers-
48261Pittsburgh Penguins-New York Islanders-
50271New York Islanders-Montreal Canadiens-
52283New York Islanders-Ottawa Senators-
55297Quebec Nordiques-New York Islanders-
59309Los Angeles Kings-New York Islanders-
61324New York Islanders-Detroit Red Wings-
63342New York Islanders-Winnipeg Jets-
66356Colorado Avalanche-New York Islanders-
68371New York Rangers-New York Islanders-
70389New York Islanders-New Jersey Devils-
72397New York Islanders-Florida Panthers-
73408New York Islanders-Boston Bruins-
76423San Jose Sharks-New York Islanders-
78435California Golden Seals-New York Islanders-
80449New York Islanders-Vegas Golden Knights-
83468New York Islanders-Pittsburgh Penguins-
85478Philadelphia Flyers-New York Islanders-
88497Hamilton Mustangs-New York Islanders-
91505New York Islanders-Edmonton Oilers-
94526Edmonton Oilers-New York Islanders-
96540Columbus Blue Jackets-New York Islanders-
97547New York Islanders-Columbus Blue Jackets-
99561New York Islanders-Chicago Blackhawks-
101575St Louis Blues-New York Islanders-
104595New York Islanders-Toronto Maple Leafs-
106603Carolina Hurricanes-New York Islanders-
109617Tampa Bay Lightning-New York Islanders-
113632Quebec Nordiques-New York Islanders-
116651New York Islanders-Ottawa Senators-
119663Montreal Canadiens-New York Islanders-
121677Winnipeg Jets-New York Islanders-
123687Detroit Red Wings-New York Islanders-
125701New York Islanders-Los Angeles Kings-
127716Vancouver Canucks-New York Islanders-
129730New York Islanders-Seattle Kraken-
131744New York Islanders-Anaheim Mighty Ducks-
134761New York Islanders-New York Rangers-
136776New Jersey Devils-New York Islanders-
138788Florida Panthers-New York Islanders-
140800Boston Bruins-New York Islanders-
144818New York Islanders-Colorado Avalanche-
146830New York Islanders-San Jose Sharks-
149849New York Islanders-California Golden Seals-
152867Vegas Golden Knights-New York Islanders-
154876Chicago Blackhawks-New York Islanders-
156886New York Islanders-St Louis Blues-
159909Pittsburgh Penguins-New York Islanders-
161920New York Islanders-Philadelphia Flyers-
163938New York Islanders-Hamilton Mustangs-
165950Montreal Canadiens-New York Islanders-
167962Ottawa Senators-New York Islanders-
169976New York Islanders-Quebec Nordiques-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172991New York Rangers-New York Islanders-
1741008New York Islanders-New Jersey Devils-
1761017Florida Panthers-New York Islanders-
1781031New York Islanders-Boston Bruins-
1801043New York Islanders-Toronto Maple Leafs-
1811057Toronto Maple Leafs-New York Islanders-
1831068New York Islanders-Carolina Hurricanes-
1841082Carolina Hurricanes-New York Islanders-
1861096Tampa Bay Lightning-New York Islanders-
1871108New York Islanders-Tampa Bay Lightning-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance30,95324,18810,58118,6456,398
Attendance PCT86.85%82.95%89.07%78.47%84.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 15128 - 84.04% 1,113,248$6,679,489$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
12,432,636$ 86,568,000$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 12,432,636$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
37,850,438$ 161 460,468$ 74,135,348$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
75,138,539$ 80,912,667$ 45,744,596$



Charte de profondeur

Ailier gaucheCentreAilier droit
Matthew TkachukAGE:27PO:55OV:80
Kent Johnson (R)AGE:22PO:55OV:74
Nick Robertson (R)AGE:23PO:55OV:73
Parker KellyAGE:26PO:55OV:73
Jake Neighbours (R)AGE:23PO:55OV:71
Justin FlorekAGE:35PO:55OV:68
Dmytro TimashovAGE:28PO:55OV:66
Milos KelemenAGE:25PO:55OV:64
Mathew BarzalAGE:28PO:55OV:83
Jack EichelAGE:28PO:55OV:82
John TavaresAGE:34PO:55OV:77
Nick PaulAGE:30PO:55OV:71
Michael Dal ColleAGE:29PO:55OV:70
Luke AdamAGE:35PO:55OV:67
Mavrik Bourque (R)AGE:23PO:55OV:67
Cole GuttmanAGE:26PO:55OV:66
MIKKEL AAGAARDAGE:29PO:52OV:66
Liam FoudyAGE:25PO:55OV:65
Filip ForsbergAGE:30PO:55OV:81
Nazem KadriAGE:34PO:55OV:75
Yegor Chinakhov (R)AGE:24PO:55OV:74
Jesse PuljujarviAGE:27PO:55OV:73
Dryden HuntAGE:29PO:55OV:69
Kaspars DaugavinsAGE:37PO:55OV:67
PATRIK PUISTOLAAGE:24PO:52OV:67
Matt LuffAGE:28PO:55OV:66
Justin KloosAGE:31PO:55OV:65

Défense #1Défense #2Gardien
Seth JonesAGE:30PO:55OV:82
Rasmus SandinAGE:25PO:55OV:79
Adam BoqvistAGE:24PO:55OV:78
Pavel Mintyukov (R)AGE:21PO:55OV:77
Ryan MurrayAGE:31PO:55OV:77
Gustav ForslingAGE:29PO:55OV:75
Travis HamonicAGE:34PO:55OV:75
Ryan McDonaghAGE:36PO:55OV:71
Mirco MuellerAGE:30PO:55OV:70
Tim BerniAGE:25PO:55OV:69
Victor AntipinAGE:32PO:55OV:69
Akito HiroseAGE:26PO:55OV:68
Keaton MiddletonAGE:27PO:55OV:66
Olli JuoleviAGE:27PO:55OV:66
Igor ShesterkinAGE:29PO:55OV:83
Darcy KuemperAGE:35PO:55OV:79
Nico Daws (R)AGE:24PO:55OV:79
Jakub Dobes (R)AGE:24PO:55OV:73
NICLAS WESTERHOLMAGE:27PO:52OV:70

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
0x LTCsNew York Islanders00
0x RFA Tag (Brock Boeser Y26)New York Islanders00
0x TC PTSNew York Islanders00
1 000 000 NSHL25 Waiver BucksNew York Islanders00
1x NSHL26 ODW ClaimNew York Islanders00
Amir MiftakhovNew York Islanders211250Lien
Anatoli GolyshevNew York Islanders161160Lien
Brady ClevelandNew York Islanders231020Lien
Calle ClangNew York Islanders201320Lien
Cam HillisNew York Islanders181040Lien
Danil GushchinNew York Islanders20910Lien
Denton MateychuckNew York Islanders22190Lien
Dillon HamaliukNew York Islanders191110Lien
EJ EmeryNew York Islanders24390Lien
Eetu MakiniemiNew York Islanders211310Lien
Felix NilssonNew York Islanders23540Lien
Gavin HayesNew York Islanders22900Lien
Jack IvankovicNew York Islanders25500Lien
Jonathan CastagnaNew York Islanders231510Lien
Kashawn AitchesonNew York Islanders25180Lien
Liam OhgrenNew York Islanders22220Lien
Luke GreenNew York Islanders161150Lien
Mateo NobertNew York Islanders251050Lien
Nolan AllanNew York Islanders21570Lien
Riley KidneyNew York Islanders21820Lien
Rory KerinsNew York Islanders22670Lien
Tanner MolendykNew York Islanders23430Lien
Theodore NiederbachNew York Islanders20820Lien
Topi NiemelaNew York Islanders20700Lien
Topias LeinonenNew York Islanders22580Lien
Tyler BoucherNew York Islanders21200Lien
Tyler HopkinsNew York Islanders251100Lien
William BelleNew York Islanders251390Lien
Yegor SurinNew York Islanders24330Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




New York Islanders Historique de transactions

[2026-02-20 10:04:42 AM] New Record for Team's Most Shots (36) in 1 Game for New York Islanders!
[2026-02-03 2:12:00 PM] New Record for Team's Most Shots (32) in 1 Game for New York Islanders!
[2026-01-30 2:38:06 PM] New Record for Team's Most Hits (36) in 1 Game for New York Islanders!



Pas de blessure ou de suspension.


New York Islanders 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

New York Islanders 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

New York Islanders 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

New York Islanders 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

New York Islanders 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