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New York Islanders
GP: 34 | W: 18 | L: 15 | OTL: 1 | P: 51
GF: 83 | GA: 85 | PP%: 16.28% | PK%: 79.28%
DG: Tim | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #478 vs Philadelphia Flyers

Centre de jeu
New York Islanders
18-15-1, 51pts
3
1 Vegas Golden Knights
11-18-4, 34pts
Team Stats
W2SéquenceL1
7-7-1Fiche domicile6-8-2
11-8-0Fiche visiteur5-10-2
7-3-0Derniers 10 matchs6-2-2
2.44Buts par match 2.48
2.50Buts contre par match 2.94
16.28%Pourcentage en avantage numérique21.19%
79.28%Pourcentage en désavantage numérique79.55%
New York Islanders
18-15-1, 51pts
3
1 Pittsburgh Penguins
18-15-1, 50pts
Team Stats
W2SéquenceL2
7-7-1Fiche domicile8-9-0
11-8-0Fiche visiteur10-6-1
7-3-0Derniers 10 matchs5-4-1
2.44Buts par match 2.85
2.50Buts contre par match 2.74
16.28%Pourcentage en avantage numérique14.29%
79.28%Pourcentage en désavantage numérique79.56%
Philadelphia Flyers
17-14-3, 52pts
Jour 85
New York Islanders
18-15-1, 51pts
Statistiques d’équipe
W1SéquenceW2
10-7-1Fiche domicile7-7-1
7-7-2Fiche visiteur11-8-0
5-4-110 derniers matchs7-3-0
2.91Buts par match 2.44
2.71Buts contre par match 2.44
21.14%Pourcentage en avantage numérique16.28%
81.82%Pourcentage en désavantage numérique79.28%
Hamilton Mustangs
19-12-2, 54pts
Jour 88
New York Islanders
18-15-1, 51pts
Statistiques d’équipe
L1SéquenceW2
12-3-1Fiche domicile7-7-1
7-9-1Fiche visiteur11-8-0
4-6-010 derniers matchs7-3-0
2.64Buts par match 2.44
2.45Buts contre par match 2.44
14.55%Pourcentage en avantage numérique16.28%
79.41%Pourcentage en désavantage numérique79.28%
New York Islanders
18-15-1, 51pts
Jour 91
Edmonton Oilers
17-10-6, 53pts
Statistiques d’équipe
W2SéquenceW1
7-7-1Fiche domicile7-6-4
11-8-0Fiche visiteur10-4-2
7-3-010 derniers matchs5-4-1
2.44Buts par match 2.91
2.50Buts contre par match 2.91
16.28%Pourcentage en avantage numérique17.21%
79.28%Pourcentage en désavantage numérique84.21%
Meneurs d'équipe
Buts
Mathew Barzal
17
Passes
Mathew Barzal
16
Points
Mathew Barzal
33
Plus/Moins
Ryan Murray
9
Victoires
Igor Shesterkin
13
Pourcentage d’arrêts
Igor Shesterkin
0.927

Statistiques d’équipe
Buts pour
83
2.44 GFG
Tirs pour
1002
29.47 Avg
Pourcentage en avantage numérique
16.3%
21 GF
Début de zone offensive
38.9%
Buts contre
85
2.50 GAA
Tirs contre
1082
31.82 Avg
Pourcentage en désavantage numérique
79.3%%
23 GA
Début de la zone défensive
38.5%
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
Assistance14,716
Billets de saison8,100


Informations de la formation

Équipe Pro22
Équipe Mineure24
Limite contact 46 / 250
Espoirs34


Finance

Revenu annuel à ce jour16,210,758$
Dépenses annuelles à ce jour38,038,926$
Revenus de la saison estimés27,017,930$
Dépenses de la saison estimées46,520,040$
Compte bancaire actuel66,787,655$
Compte bancaire projeté48,175,660$


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$
4Nazem Kadri0X100.00744786886389927667818167778166554075N03425,750,000$
5Kent Johnson (R)0X100.0050358595638686775080826482657555407402231,750,000$
6Yegor Chinakhov (R)0X100.0063458784838383765373827478707855407402421,000,000$
7Jesse Puljujarvi0X100.0078508377858688745775727273748155407302723,000,000$
8Parker Kelly0X100.009956568573788669577172757473695540730263750,000$
9Nick Paul0X100.009356776398818367817067766679775540710302560,000$
10Michael Dal Colle0X100.008546807480798267797167716978745540700292550,000$
11Dryden Hunt0X100.009351777370797966656869706978725540690294660,000$
12Mitchell Stephens0X100.007445787665777868817168737077665540690281525,000$
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$
18Ryan McDonagh0X100.007147846389808161506459765584845540710361500,000$
Rayé
1Matthew Tkachuk0X91.6889477490759094856987897383747255408002725,750,000$
2Travis Hamonic0X100.0088477173858890715074667466817955407503411,220,000$
Équipe Mineure
1Nick Robertson (R)0X99.0059438388657786726072807477687555407302321,000,000$
2Jake Neighbours (R)0X100.008762737880838867687168707168705540710231900,000$
3Justin Florek0X100.006248746877777666647269626884775540680351525,000$
4Kaspars Daugavins0X100.007048746865787865636967596586825540670371500,000$
5PATRIK PUISTOLA0X100.005038718369606072637172647467675240670241250,000$
6Cole Guttman0X98.005330808450758260766465706875675540660263525,000$
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)0X99.0079468294808793825084707074637855407702121,500,000$
14Mirco Mueller0X99.005739837778777870507365746578685540700303500,000$
15Tim Berni0X100.009142787773778561506260625970705540690254675,000$
16Victor Antipin0X100.005436798763808072507565636879645540690321699,000$
17Keaton Middleton0X100.006465706099666661506359695476765540660272500,000$
18Olli Juolevi0X100.005440778072697462505859676072645540660272510,000$
19Luke Adam0X98.156748766377798065776967656584775540670351500,000$
20Mavrik Bourque (R)0X74.2957408281617979647767656768687855406702331,000,000$
21Akito Hirose0X92.225737808862758066507061666575625540680263500,000$
MOYENNE D’ÉQUIPE98.81704579807480827062737071707574554072
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 Shesterkin099.008583888090888890908787786755408302934,000,000$
2Darcy Kuemper0100.006978798879838482828383857255407903513,000,000$
Rayé
Équipe Mineure
1Nico Daws (R)097.008080808683828385858282696155407902443,500,000$
2Jakub Dobes (R)0100.00777075867675767878757670575540730243700,000$
3NICLAS WESTERHOLM0100.00716060827473747474737272605240700271261,000$
MOYENNE D’ÉQUIPE99.2076747684808081828280807563544077
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 IslandersC34171633-7205957112415715.18%1263118.567714191150000121155.74%7232310001.0512000326
2Filip ForsbergNew York IslandersRW3471522-217588439631437.29%2363318.63369121130001341043.64%55227000.6901001020
3Jack EichelNew York IslandersC34111122-62010707995357011.58%1566419.5532571081014874154.59%588369000.6612011422
4Matthew TkachukNew York IslandersLW2771017025569369122517.69%1147417.5725712860111182028.00%251212000.7200001130
5Adam BoqvistNew York IslandersD3421315-418045365323293.77%3469320.391458122000031100%01820000.4300000111
6Yegor ChinakhovNew York IslandersRW345914410033315620268.93%1155016.201124830111411044.00%25138000.5100000102
7Kent JohnsonNew York IslandersLW346612-7120203558185510.34%759817.6134791030001370044.83%29258000.4000000000
8Nazem KadriNew York IslandersRW3421012-2141044275418333.70%951215.070110330000511042.31%26157000.4700011010
9Ryan MurrayNew York IslandersD340101099518462721130%5073921.75011162011198000%01620000.2700010001
10Seth JonesNew York IslandersD342810-39521724218224.76%5474922.06000070001102010%01326000.2700001011
11Parker KellyNew York IslandersLW342683421066195719323.51%1637611.08101220000092050.00%10178000.4200011000
12Gustav ForslingNew York IslandersD34077-44015553018110%2258017.07000057000149000%0720000.2400000000
13Jesse PuljujarviNew York IslandersRW34426-12353531358911.43%1038211.2400001000170047.37%1913000.3100010000
14Michael Dal ColleNew York IslandersC28314310021162051615.00%52589.2200001000001033.87%6214000.3100000001
15Rasmus SandinNew York IslandersD3413422048384614192.17%2970120.62000387101126000%01629000.1100000000
16Nick PaulNew York IslandersC3221311203828246148.33%43189.96000000000121040.00%10026000.1900000000
17Dryden HuntNew York IslandersRW130220601477130%213310.2800002000000036.36%1114000.3000000000
18Travis HamonicNew York IslandersD25022-53810422913350%1337114.8600000000034000%0411000.1100020010
19Mitchell StephensNew York IslandersC5011020366140%15511.0700000000000034.21%3800000.3600000000
20Ryan McDonaghNew York IslandersD1100015510117530%715013.7200000000013000%00400000001000
Statistiques d’équipe totales ou en moyenne58371133204-18280707597029293275157.64%335957716.432131527710072351367115351.55%1711242216000.4325077101314
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 Islanders27131200.9272.29154401598043811300259631
2Darcy KuemperNew York Islanders105310.9202.625040022274120011.0006925211
Statistiques d’équipe totales ou en moyenne37181510.9252.372048018110785011463434842


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$2,136,303$0$0$No---------------------------Lien
Darcy Kuemper (contrat à 1 volet)New York IslandersG351990-05-05CANNo216 Lbs6 ft5NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm3,000,000$1,675,532$0$0$No---------------------------Lien
Dryden HuntNew York IslandersRW291995-11-24CANNo192 Lbs6 ft0NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm660,000$368,617$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$4,468,085$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$977,394$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$2,234,043$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$3,909,574$0$0$No---------------------------Lien
Jesse Puljujarvi (contrat à 1 volet)New York IslandersRW271998-05-07FINNo201 Lbs6 ft4NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm3,000,000$1,675,532$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Kent JohnsonNew York IslandersLW222002-10-18CANYes175 Lbs6 ft0NoNoFree AgentNoNo32025-11-20FalseFalsePro & Farm1,750,000$977,394$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$7,298,059$0$0$No---------------------------Lien
Matthew Tkachuk (contrat à 1 volet)New York IslandersLW271997-12-11USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm5,750,000$3,211,436$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$307,181$0$0$No550,000$--------550,000$--------No--------
Mitchell StephensNew York IslandersC281997-02-05CANNo190 Lbs5 ft11NoNoTrade2026-04-16NoNo12025-09-30FalseFalsePro & Farm525,000$293,218$0$0$No---------------------------Lien
Nazem Kadri (contrat à 1 volet)New York IslandersRW341990-10-06CANNo192 Lbs6 ft0YesNoFree AgentNoNo22025-10-11FalseFalsePro Only5,750,000$3,211,436$0$0$No5,750,000$--------5,750,000$--------Yes--------Lien
Nick PaulNew York IslandersC301995-03-20CANNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm560,000$312,766$0$0$No560,000$--------560,000$--------No--------Lien
Parker KellyNew York IslandersLW261999-05-14CANNo187 Lbs6 ft0NoNoTrade2025-12-19NoNo32025-10-24FalseFalsePro & Farm750,000$418,883$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$2,234,043$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$279,255$0$0$No---------------------------Lien
Ryan Murray (contrat à 1 volet)New York IslandersD311993-09-27CANNo206 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm4,000,000$2,234,043$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$3,825,798$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$681,383$0$0$No---------------------------Lien
Yegor ChinakhovNew York IslandersRW242001-02-01RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$558,511$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.86198 Lbs6 ft12.143,523,045$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,507,000$48,370,000$19,760,000$6,410,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kent JohnsonMathew BarzalFilip Forsberg30023
2Yegor ChinakhovJack EichelNazem Kadri28022
3Parker KellyNick PaulJesse Puljujarvi26023
4Dryden HuntMitchell StephensMichael Dal Colle16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRyan Murray34041
2Rasmus SandinAdam Boqvist32041
3Gustav ForslingRyan McDonagh27050
4Seth JonesRasmus Sandin7050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kent JohnsonMathew BarzalFilip Forsberg60005
2Parker KellyNazem KadriYegor Chinakhov40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistJack Eichel60005
2Rasmus SandinRyan Murray40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack EichelYegor Chinakhov60050
2Nick PaulParker Kelly40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRyan Murray60050
2Gustav ForslingRyan McDonagh40050
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
1Jack EichelFilip Forsberg60014
2Mathew BarzalKent Johnson40032
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
Yegor ChinakhovJack EichelJesse PuljujarviSeth JonesRyan Murray
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Forsberg, Mathew Barzal, Jack EichelKent Johnson, Jesse PuljujarviFilip Forsberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Jones, Ryan Murray, Rasmus SandinRasmus SandinRyan McDonagh, Seth Jones
Tirs de pénalité
Jack Eichel, Mathew Barzal, Filip Forsberg, Kent Johnson, Yegor Chinakhov
Gardien
#1 : Igor Shesterkin, #2 : Darcy Kuemper
Lignes d’attaque personnalisées en prolongation
Mathew Barzal, Filip Forsberg, Jack Eichel, Yegor Chinakhov, Kent Johnson, Nazem Kadri, Jesse Puljujarvi, , ,
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%041779652.39%41578852.66%22446148.59%2414229189
2Boston Bruins2020000015-41010000014-31010000001-100.000123001000591430150792614551100.00%2150.00%041779652.39%41578852.66%22446148.59%432542173317
3California Golden Seals1010000013-21010000013-20000000000000.0001120000102078502710922300.00%2150.00%041779652.39%41578852.66%22446148.59%1910229189
4Carolina Hurricanes11000000422000000000001100000042231.000481200013030216120361715312150.00%5180.00%041779652.39%41578852.66%22446148.59%2213228157
5Colorado Avalanche11000000321110000003210000000000031.0003470012004214151303660212150.00%000%041779652.39%41578852.66%22446148.59%2417196158
6Detroit Red Wings1010000014-3000000000001010000014-300.00012300010037517150278920400.00%2150.00%041779652.39%41578852.66%22446148.59%2313198178
7Florida Panthers2010001079-2000000000002010001079-220.3337815002221542021115591930607114.29%10190.00%041779652.39%41578852.66%22446148.59%452542183617
8Hamilton Mustangs2020000046-21010000034-11010000012-100.0004711002110492313130583020476116.67%10280.00%041779652.39%41578852.66%22446148.59%412344193416
9Los Angeles Kings11000000413110000004130000000000031.0004610002110351513702510825200.00%4175.00%041779652.39%41578852.66%22446148.59%2617187158
10Montreal Canadiens22000000624000000000002200000062461.00061016001050551715230571618417457.14%9188.89%041779652.39%41578852.66%22446148.59%432643183215
11New Jersey Devils211000004401010000013-21100000031230.5004812101210662116290701514356233.33%70100.00%041779652.39%41578852.66%22446148.59%452741163216
12New York Rangers2110000057-21010000014-31100000043130.5005712001400561323200723416417114.29%8362.50%041779652.39%41578852.66%22446148.59%412346173216
13Ottawa Senators21100000550110000003121010000024-230.50058131004106017232007622143311218.18%7271.43%041779652.39%41578852.66%22446148.59%422544163216
14Philadelphia Flyers211000002201010000012-11100000010130.5002460110105820231505024847700.00%4175.00%041779652.39%41578852.66%22446148.59%442642183317
15Pittsburgh Penguins31200000811-31010000025-32110000066030.33381422002240822726290972824681417.14%7271.43%141779652.39%41578852.66%22446148.59%603367275127
16Quebec Nordiques2010100045-1100010003211010000013-220.3334711101201651537112611539561100.00%7185.71%041779652.39%41578852.66%22446148.59%472737173519
17San Jose Sharks11000000413110000004130000000000031.0004610000130301331402862196233.33%10100.00%041779652.39%41578852.66%22446148.59%22141810188
18Seattle Kraken11000000312110000003120000000000031.00035800102029951502872243133.33%10100.00%041779652.39%41578852.66%22446148.59%2112198189
19Tampa Bay Lightning1010000024-2000000000001010000024-200.0002461001103115106022101227100.00%6266.67%041779652.39%41578852.66%22446148.59%2213209178
20Toronto Maple Leafs1000010012-11000010012-10000000000010.33312300001022510702711619100.00%30100.00%041779652.39%41578852.66%22446148.59%2111219188
21Vancouver Canucks10001000321000000000001000100032120.66736900002127146613410722700.00%10100.00%041779652.39%41578852.66%22446148.59%22121991810
22Vegas Golden Knights11000000312000000000001100000031231.000369001110281396032310224250.00%5180.00%141779652.39%41578852.66%22446148.59%2112208178
23Winnipeg Jets11000000431000000000001100000043131.0004711000220355237038819202150.00%7185.71%041779652.39%41578852.66%22446148.59%18102410167
Total341415021208385-21557011103538-319980101048471510.5008313722041182833410023173753041110823463077841292116.28%1112379.28%241779652.39%41578852.66%22446148.59%747438723302581295
_Since Last GM Reset341415021208385-21557011103538-319980101048471510.5008313722041182833410023173753041110823463077841292116.28%1112379.28%241779652.39%41578852.66%22446148.59%747438723302581295
_Vs Conference24813011105364-11916011001627-1115770001037370290.40353891424112192026872092632117764267230560911314.29%851780.00%141779652.39%41578852.66%22446148.59%521302518214406205
_Vs Division1036000102331-830300000311-87330001020200110.36723376020510712968511693533812110124934514.71%38878.95%041779652.39%41578852.66%22446148.59%2201282168716884

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3451W2831372201002108234630778441
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34141521208385
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
155711103538
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
199810104847
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1292116.28%1112379.28%2
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
317375304111828334
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
41779652.39%41578852.66%22446148.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
747438723302581295


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 Islanders3Montreal Canadiens1WSommaire du match
32190New York Islanders3Pittsburgh Penguins5LSommaire du match
34198Philadelphia Flyers2New York Islanders1LSommaire du match
37214Hamilton Mustangs4New York Islanders3LSommaire du match
40228New York Islanders1Hamilton Mustangs2LSommaire du match
44242New York Islanders1Philadelphia Flyers0WSommaire du match
48261Pittsburgh Penguins5New York Islanders2LSommaire du match
50271New York Islanders3Montreal Canadiens1WSommaire du match
52283New York Islanders2Ottawa Senators4LSommaire du match
55297Quebec Nordiques2New York Islanders3WXSommaire du match
59309Los Angeles Kings1New York Islanders4WSommaire du match
61324New York Islanders1Detroit Red Wings4LSommaire du match
63342New York Islanders4Winnipeg Jets3WSommaire du match
66356Colorado Avalanche2New York Islanders3WSommaire du match
68371New York Rangers4New York Islanders1LSommaire du match
70389New York Islanders3New Jersey Devils1WSommaire du match
72397New York Islanders5Florida Panthers4WXXSommaire du match
73408New York Islanders0Boston Bruins1LSommaire du match
76423San Jose Sharks1New York Islanders4WSommaire du match
78435California Golden Seals3New York Islanders1LSommaire du match
80449New York Islanders3Vegas Golden Knights1WSommaire du match
83468New York Islanders3Pittsburgh Penguins1WSommaire du match
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 billets93553322175
Assistance71,69856,91523,74651,33317,054
Attendance PCT80.47%78.07%79.95%86.42%90.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 14716 - 81.76% 1,080,717$16,210,758$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
38,038,926$ 83,293,000$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 38,038,926$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
27,017,930$ 105 443,048$ 46,520,040$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
47,118,435$ 66,787,655$ 48,175,660$



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
Nick PaulAGE:30PO:55OV:71
Michael Dal ColleAGE:29PO:55OV:70
Mitchell StephensAGE:28PO:55OV:69
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

[2026-04-16 4:32:34 PM] TRADE : From New York Islanders to Montreal Canadiens : John Tavares (77).
[2026-04-16 4:32:34 PM] TRADE : From Montreal Canadiens to New York Islanders : Mitchell Stephens (69), Y:26-RND:2-OTT, Y:27-RND:3-STL.
[2026-04-08 2:42:00 PM] New Record for Team's Most Goals (5) in 1 Game for New York Islanders!
[2026-04-02 3:18:19 PM] New Record for Team's Most Shots (42) in 1 Game for New York Islanders!
[2026-03-28 11:26:31 AM] New Record for Team's Most Shots (37) in 1 Game for New York Islanders!
[2026-03-25 11:30:09 AM] TRADE : From Montreal Canadiens to New York Islanders : $1,073,578 (Money).
[2026-03-23 1:26:19 PM] New Record for Team's Most Penalties Minutes (25) in 1 Game for New York Islanders!
[2026-03-09 4:34:29 PM] Kaspars Daugavins has been selected as assistant for Bridgeport Islanders.
[2026-03-09 4:34:29 PM] Pavel Mintyukov is no longer as assistant for Bridgeport Islanders.
[2026-03-09 4:34:29 PM] Kaspars Daugavins is no longer captain for Bridgeport Islanders.
[2026-03-02 3:02:48 PM] New Record for Team's Most Shots Blocked (20) in 1 Game for New York Islanders!
[2026-02-20 11:04:42 AM] New Record for Team's Most Shots (36) in 1 Game for New York Islanders!
[2026-02-03 3:12:00 PM] New Record for Team's Most Shots (32) in 1 Game for New York Islanders!
[2026-01-30 3:38:06 PM] New Record for Team's Most Hits (36) in 1 Game for New York Islanders!



Akito Hirose est dehors pour 3 jours à cause de Sprained Right Ankle Injury.
Matthew Tkachuk est dehors pour 4 jours à cause de Broken Left Index Finger Injury.
Mavrik Bourque est dehors pour 3 semaines à cause de Right Foot Injury.



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