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Connexion

New York Islanders
GP: 58 | W: 33 | L: 22 | OTL: 3 | P: 91
GF: 157 | GA: 145 | PP%: 16.59% | PK%: 80.44%
DG: Tim | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #818 vs Colorado Avalanche

Centre de jeu
Florida Panthers
28-24-5, 86pts
1
6 New York Islanders
33-22-3, 91pts
Team Stats
L3SéquenceW6
14-11-4Fiche domicile16-12-2
14-13-1Fiche visiteur17-10-1
5-5-0Derniers 10 matchs7-2-1
2.53Buts par match 2.71
2.70Buts contre par match 2.50
20.75%Pourcentage en avantage numérique16.59%
82.24%Pourcentage en désavantage numérique80.44%
Boston Bruins
33-18-7, 101pts
4
5 New York Islanders
33-22-3, 91pts
Team Stats
OTL1SéquenceW6
14-14-2Fiche domicile16-12-2
19-4-5Fiche visiteur17-10-1
5-3-2Derniers 10 matchs7-2-1
2.93Buts par match 2.71
2.59Buts contre par match 2.50
22.79%Pourcentage en avantage numérique16.59%
81.85%Pourcentage en désavantage numérique80.44%
New York Islanders
33-22-3, 91pts
Jour 144
Colorado Avalanche
34-18-5, 98pts
Statistiques d’équipe
W6SéquenceW3
16-12-2Fiche domicile15-12-2
17-10-1Fiche visiteur19-6-3
7-2-110 derniers matchs6-4-0
2.71Buts par match 2.54
2.50Buts contre par match 2.54
16.59%Pourcentage en avantage numérique17.26%
80.44%Pourcentage en désavantage numérique83.66%
New York Islanders
33-22-3, 91pts
Jour 146
San Jose Sharks
19-35-3, 55pts
Statistiques d’équipe
W6SéquenceL2
16-12-2Fiche domicile12-13-2
17-10-1Fiche visiteur7-22-1
7-2-110 derniers matchs2-8-0
2.71Buts par match 2.07
2.50Buts contre par match 2.07
16.59%Pourcentage en avantage numérique24.42%
80.44%Pourcentage en désavantage numérique77.41%
New York Islanders
33-22-3, 91pts
Jour 149
California Golden Seals
29-22-6, 89pts
Statistiques d’équipe
W6SéquenceW3
16-12-2Fiche domicile15-11-4
17-10-1Fiche visiteur14-11-2
7-2-110 derniers matchs6-3-1
2.71Buts par match 2.68
2.50Buts contre par match 2.68
16.59%Pourcentage en avantage numérique25.13%
80.44%Pourcentage en désavantage numérique79.90%
Meneurs d'équipe
Buts
Mathew Barzal
24
Passes
Mathew Barzal
35
Points
Mathew Barzal
59
Plus/Moins
Rasmus Sandin
11
Victoires
Igor Shesterkin
25
Pourcentage d’arrêts
Igor Shesterkin
0.93

Statistiques d’équipe
Buts pour
157
2.71 GFG
Tirs pour
1736
29.93 Avg
Pourcentage en avantage numérique
16.6%
36 GF
Début de zone offensive
38.7%
Buts contre
145
2.50 GAA
Tirs contre
1833
31.60 Avg
Pourcentage en désavantage numérique
80.4%%
44 GA
Début de la zone défensive
39.3%
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
Assistance14,646
Billets de saison8,100


Informations de la formation

Équipe Pro23
Équipe Mineure26
Limite contact 49 / 250
Espoirs35


Finance

Revenu annuel à ce jour32,220,625$
Dépenses annuelles à ce jour62,766,480$
Revenus de la saison estimés10,740,208$
Dépenses de la saison estimées20,425,008$
Compte bancaire actuel59,502,740$
Compte bancaire projeté50,058,138$


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 Barzal0X97.00724288967296999197929072887779554083028113,067,000$
2Jack Eichel (A)0X98.00715084917794988595909078847082554082N02817,000,000$
3Filip Forsberg (A)0X99.0084508793729190817090907283798455408103028,000,000$
4Matthew Tkachuk0X99.0089477490759094856987897383747255408002725,750,000$
5Nazem Kadri0X100.00744786886389927667818167778166554075N03425,750,000$
6Kent Johnson (R)0X100.0050358595638686775080826482657555407402231,750,000$
7Yegor Chinakhov (R)0X100.0063458784838383765373827478707855407402421,000,000$
8Artturi Lehkonen0X100.008537838860878770707175727478775540730293500,000$
9Fabian Zetterlund0X100.007758816778909873637380667373815540730252600,000$
10Jesse Puljujarvi0X100.0078508377858688745775727273748155407302723,000,000$
11Parker Kelly0X100.009956568573788669577172757473695540730263750,000$
12Seth Jones (C)0X98.0070509388959699805083709070798755408203036,850,000$
13Rasmus Sandin0X98.0087409199688691805082747977718055407902544,000,000$
14Adam Boqvist0X100.0075478199748786815093797178697255407802413,825,000$
15Gustav Forsling0X100.0059448488748387755981757476787855407502941,750,000$
16Noah Juulsen0X100.009451888165818072537568736877835540740282624,999$
17Zach Whitecloud0X100.005750827599787968537065806477835540730281750,000$
18Ryan McDonagh0X100.007147846389808161506459765584845540710361500,000$
Rayé
1Nick Paul0X100.009356776398818367817067766679775540710302560,000$
2Dryden Hunt0X100.009351777370797966656869706978725540690294660,000$
3Mitchell Stephens0X100.007445787665777868817168737077665540690281525,000$
Équipe Mineure
1Nick Robertson (R)0X95.0059438388657786726072807477687555407302321,000,000$
2Jake Neighbours (R)0X98.008762737880838867687168707168705540710231900,000$
3Justin Florek0X100.006248746877777666647269626884775540680351525,000$
4Kaspars Daugavins0X99.007048746865787865636967596586825540670371500,000$
5Luke Adam0X99.006748766377798065776967656584775540670351500,000$
6Mavrik Bourque (R)0X99.0057408281617979647767656768687855406702331,000,000$
7PATRIK PUISTOLA0X99.005038718369606072637172647467675240670241250,000$
8Dmytro Timashov0X100.008922767352747462576565686570675540660281500,000$
9MIKKEL AAGAARD0X100.006038677867606066756671647074745240660291250,000$
10Pavel Mintyukov (R)0X99.0079468294808793825084707074637855407702121,500,000$
11Ilya Lyubushkin0X100.009352767094747668507162736380755540730312950,000$
12Sami Vatanen0X99.0079407788668182715073647265816955407303411,274,999$
13Mirco Mueller0X100.005739837778777870507365746578685540700303500,000$
14Tim Berni0X100.009142787773778561506260625970705540690254675,000$
15Victor Antipin0X100.005436798763808072507565636879645540690321699,000$
16Akito Hirose0X100.005737808862758066507061666575625540680263500,000$
17Keaton Middleton0X100.006465706099666661506359695476765540660272500,000$
18Olli Juolevi0X100.005440778072697462505859676072645540660272510,000$
19Cole Guttman0X100.005330808450758260766465706875675540660263525,000$
20Matt Luff0X37.436846776879717060726364736377685540660281520,000$
21Justin Kloos0X100.005340808053706964556565696878605540650312550,000$
22Liam Foudy0X100.005140817376687660506359716373745540650254610,000$
23Milos Kelemen0X100.006547796580637160566159706073685540640254525,000$
MOYENNE D’ÉQUIPE98.03714580807480827061737071707574554072
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)095.008080808683828385858282696155407902443,500,000$
2Jakub Dobes (R)099.00777075867675767878757670575540730243700,000$
3NICLAS WESTERHOLM0100.00716060827473747474737272605240700271261,000$
MOYENNE D’ÉQUIPE98.2076747684808081828280807563544077
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 IslandersC58243559-6140871051866211412.90%19109118.8181523281890000402154.55%12213820001.0826000348
2Jack EichelNew York IslandersC58192645740101141351695811211.24%31117220.223589182112121867254.69%10245217100.7736011534
3Filip ForsbergNew York IslandersRW582121421662012970175559212.00%37108918.7810818301871017773247.06%1193511010.7725013340
4Matthew TkachukNew York IslandersLW4814173164751245415029749.33%1883417.38459191520111254141.51%532020000.7401001431
5Yegor ChinakhovNew York IslandersRW58131427626105563122356310.66%2095916.54224613101151272143.75%482816000.5611101302
6Seth JonesNew York IslandersD583232682010431246933354.35%84135523.360001530115216010%02445000.3800011013
7Adam BoqvistNew York IslandersD583222514715666510341502.91%54117320.2315615200000153100%03338000.4300102111
8Nazem KadriNew York IslandersRW58619257261079449435666.38%1686414.911345820000512040.68%592612000.5800011132
9Artturi LehkonenNew York IslandersRW57101424-8801057210822609.26%1579313.923365460004651243.54%147288000.6001000303
10Kent JohnsonNew York IslandersLW5816824-22203469104388015.38%1298717.036410161650001531042.00%504013000.4923000000
11Fabian ZetterlundNew York IslandersLW5810717-1045151056368293614.71%2895916.5532551451013220043.28%671115000.3500120022
12Parker KellyNew York IslandersLW5831114388201203910227562.94%2367711.671012291013443044.44%182313000.4100022011
13Rasmus SandinNew York IslandersD58112131112086758131311.23%54122221.070226151101279000%02546000.2100000000
14Jesse PuljujarviNew York IslandersRW586612227562536917308.70%1860610.45000060112120056.00%2565000.4000010000
15Gustav ForslingNew York IslandersD58099023524864425230%44100217.290000820111100000%01234000.1800001001
16Mitchell StephensNew York IslandersC24235318027223010166.67%82299.5600000000010049.28%13855000.4400000001
17Nick PaulNew York IslandersC463251401057443210189.38%1150611.02000000001341044.58%240210000.2000011000
18Zach WhitecloudNew York IslandersD49055-1017525672210140%5173915.09011012000186000%0623000.1400001000
19Dryden HuntNew York IslandersRW20123310022811239.09%41969.8400004000000035.71%1414000.3000000000
20Noah JuulsenNew York IslandersD21033-175242712430%1131214.9000005000038000%0410000.1900001000
21Ilya LyubushkinBridgeport Islanders (NYI)D13022-6001964110%1215612.060110200004000%006000.2600000000
22Ryan McDonaghNew York IslandersD2501111352026111280%2635114.0700000000043000%0011000.0600001000
Statistiques d’équipe totales ou en moyenne1057155262417176161501427131717665869858.78%5961728316.3542569814718315611491366271051.66%3223419382110.48102331017232229
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 Islanders42251410.9302.19246321901291594430.643144018862
2Darcy KuemperNew York Islanders176820.9052.979300046485228020.88991640221
3Nico DawsBridgeport Islanders (NYI)22000.9421.491210035224200020100
Statistiques d’équipe totales ou en moyenne61332230.9242.373514211391828846652358581183


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$976,596$0$0$No---------------------------Lien
Artturi LehkonenNew York IslandersRW291995-07-04FINNo179 Lbs5 ft11NoNoTrade2026-05-20NoNo32025-10-29FalseFalsePro & Farm500,000$127,660$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Darcy Kuemper (contrat à 1 volet)New York IslandersG351990-05-05CANNo216 Lbs6 ft5NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm3,000,000$765,957$0$0$No---------------------------Lien
Dryden HuntNew York IslandersRW291995-11-24CANNo192 Lbs6 ft0NoNoFree AgentNoNo42025-10-24FalseFalsePro & Farm660,000$168,511$0$0$No660,000$660,000$660,000$------660,000$660,000$660,000$------NoNoNo------Lien
Fabian ZetterlundNew York IslandersLW251999-08-25SWENo220 Lbs5 ft11NoNoTrade2026-05-20NoNo22025-09-30FalseFalsePro & Farm600,000$153,191$0$0$No600,000$--------600,000$--------No--------Lien
Filip Forsberg (contrat à 1 volet)New York IslandersRW301994-08-13SWENo205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm8,000,000$2,042,553$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$446,809$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$1,021,277$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$1,787,234$0$0$No---------------------------Lien
Jesse Puljujarvi (contrat à 1 volet)New York IslandersRW271998-05-07FINNo201 Lbs6 ft4NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm3,000,000$765,957$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Kent JohnsonNew York IslandersLW222002-10-18CANYes175 Lbs6 ft0NoNoFree AgentNoNo32025-11-20FalseFalsePro & Farm1,750,000$446,809$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$3,336,255$0$0$No---------------------------Lien
Matthew Tkachuk (contrat à 1 volet)New York IslandersLW271997-12-11USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm5,750,000$1,468,085$0$0$No5,750,000$--------5,750,000$--------No--------Lien
Mitchell StephensNew York IslandersC281997-02-05CANNo190 Lbs5 ft11NoNoTrade2026-04-16NoNo12025-09-30FalseFalsePro & Farm525,000$134,043$0$0$No---------------------------Lien
Nazem Kadri (contrat à 1 volet)New York IslandersRW341990-10-06CANNo192 Lbs6 ft0YesNoFree AgentNoNo22025-10-11FalseFalsePro Only5,750,000$1,468,085$0$0$No5,750,000$--------5,750,000$--------Yes--------Lien
Nick PaulNew York IslandersC301995-03-20CANNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm560,000$142,979$0$0$No560,000$--------560,000$--------No--------Lien
Noah JuulsenNew York IslandersD281997-04-02CANNo201 Lbs6 ft2NoNoTrade2026-05-12NoNo22025-09-30FalseFalsePro & Farm624,999$159,574$0$0$No624,999$--------624,999$--------No--------Lien
Parker KellyNew York IslandersLW261999-05-14CANNo187 Lbs6 ft0NoNoTrade2025-12-19NoNo32025-10-24FalseFalsePro & Farm750,000$191,489$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$1,021,277$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$127,660$0$0$No---------------------------Lien
Seth Jones (contrat à 1 volet)New York IslandersD301994-10-03USANo209 Lbs6 ft4NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm6,850,000$1,748,936$0$0$No6,850,000$6,850,000$-------6,850,000$6,850,000$-------NoNo-------Lien
Yegor ChinakhovNew York IslandersRW242001-02-01RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$255,319$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Zach WhitecloudNew York IslandersD281996-11-28CANNo218 Lbs6 ft2NoNoTrade2026-05-20NoNo12025-09-30FalseFalsePro & Farm750,000$191,489$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.30198 Lbs6 ft12.173,226,609$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,211,999$45,544,999$20,260,000$6,410,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukMathew BarzalFilip Forsberg40122
2Kent JohnsonJack EichelNazem Kadri30122
3Parker KellyMathew BarzalYegor Chinakhov20122
4Fabian ZetterlundJack EichelJesse Puljujarvi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRasmus Sandin40122
2Adam BoqvistGustav Forsling30122
3Noah JuulsenZach Whitecloud20122
4Ryan McDonaghSeth Jones10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew TkachukMathew BarzalFilip Forsberg60122
2Kent JohnsonJack EichelNazem Kadri40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRasmus Sandin60122
2Adam BoqvistGustav Forsling40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mathew BarzalJack Eichel60122
2Filip ForsbergMatthew Tkachuk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRasmus Sandin60122
2Adam BoqvistGustav Forsling40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mathew Barzal60122Seth JonesRasmus Sandin60122
2Jack Eichel40122Adam BoqvistGustav Forsling40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mathew BarzalJack Eichel60122
2Filip ForsbergMatthew Tkachuk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRasmus Sandin60122
2Adam BoqvistGustav Forsling40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew TkachukMathew BarzalFilip ForsbergSeth JonesRasmus Sandin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew TkachukMathew BarzalFilip ForsbergSeth JonesRasmus Sandin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Artturi Lehkonen, Yegor Chinakhov, Jesse PuljujarviArtturi Lehkonen, Yegor ChinakhovJesse Puljujarvi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Juulsen, Zach Whitecloud, Ryan McDonaghNoah JuulsenZach Whitecloud, Ryan McDonagh
Tirs de pénalité
Mathew Barzal, Jack Eichel, Filip Forsberg, Matthew Tkachuk, Nazem Kadri
Gardien
#1 : Igor Shesterkin, #2 : Darcy Kuemper
Lignes d’attaque personnalisées en prolongation
Mathew Barzal, Jack Eichel, Filip Forsberg, Matthew Tkachuk, Nazem Kadri, Yegor Chinakhov, Kent Johnson, Jesse Puljujarvi, Parker Kelly, Fabian Zetterlund
Lignes de défense personnalisées en prolongation
Seth Jones, Rasmus Sandin, Adam Boqvist, Gustav Forsling, Noah Juulsen


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 Ducks21000010954100000104311100000052350.83391423002331622422153762124559222.22%7271.43%0710135852.28%716137851.96%39277150.84%462744173417
2Boston Bruins3020100069-32010100068-21010000001-120.2226101600311178213718211135387616212.50%9277.78%1710135852.28%716137851.96%39277150.84%643663275328
3California Golden Seals1010000013-21010000013-20000000000000.0001120000102078502710922300.00%2150.00%0710135852.28%716137851.96%39277150.84%1910229189
4Carolina Hurricanes21000010743100000103211100000042250.83371219002131661426255693523594125.00%9277.78%0710135852.28%716137851.96%39277150.84%462843183416
5Chicago Blackhawks11000000541000000000001100000054131.00059140011303614101203012622200.00%3166.67%0710135852.28%716137851.96%39277150.84%2213218168
6Colorado Avalanche11000000321110000003210000000000031.0003470012004214151303660212150.00%000%0710135852.28%716137851.96%39277150.84%2417196158
7Columbus Blue Jackets21000100844110000006151000010023-140.66781220000530691640121582336433133.33%13192.31%0710135852.28%716137851.96%39277150.84%412545193415
8Detroit Red Wings2020000027-51010000013-21010000014-300.00023500110069153024061201736800.00%6266.67%0710135852.28%716137851.96%39277150.84%452841183216
9Edmonton Oilers2010001034-11010000013-21000001021120.33334700002271241531451141849800.00%9188.89%0710135852.28%716137851.96%39277150.84%432445213616
10Florida Panthers3110001013103110000006152010001079-250.556131730003541863230225882471879111.11%13192.31%0710135852.28%716137851.96%39277150.84%683963275326
11Hamilton Mustangs30300000510-52020000048-41010000012-100.0005813002120773420230914534687114.29%17476.47%0710135852.28%716137851.96%39277150.84%623666285124
12Los Angeles Kings21100000550110000004131010000014-330.500581300221060252114054193143600.00%8275.00%0710135852.28%716137851.96%39277150.84%462839173316
13Montreal Canadiens33000000936110000003122200000062491.00091423002160892925350922426699555.56%13192.31%1710135852.28%716137851.96%39277150.84%653866274823
14New Jersey Devils311010007612010100045-11100000031250.556712191013219627284019432235611436.36%90100.00%0710135852.28%716137851.96%39277150.84%684062254925
15New York Rangers3110100078-11010000014-32100100064250.556791600240175193124110045205916212.50%10370.00%0710135852.28%716137851.96%39277150.84%623467275026
16Ottawa Senators31200000810-2110000003122020000059-430.3338132120071081223326011126496214321.43%17570.59%0710135852.28%716137851.96%39277150.84%623566265025
17Philadelphia Flyers3120000035-22020000025-31100000010130.333358011020833126260853320621417.14%10190.00%0710135852.28%716137851.96%39277150.84%643665274925
18Pittsburgh Penguins31200000811-31010000025-32110000066030.33381422002240822726290972824681417.14%7271.43%1710135852.28%716137851.96%39277150.84%603367275127
19Quebec Nordiques31101000862210010007341010000013-250.556813211023219822472729624499317317.65%12283.33%0710135852.28%716137851.96%39277150.84%683958265328
20San Jose Sharks11000000413110000004130000000000031.0004610000130301331402862196233.33%10100.00%0710135852.28%716137851.96%39277150.84%22141810188
21Seattle Kraken21001000523110000003121000100021150.833591400103160221324159148527114.29%40100.00%0710135852.28%716137851.96%39277150.84%452639173618
22St Louis Blues11000000624110000006240000000000031.0006111700123039592503512818300.00%40100.00%1710135852.28%716137851.96%39277150.84%2214217157
23Tampa Bay Lightning2020000059-41010000035-21010000024-200.0005101510212058241816047224549200.00%15753.33%0710135852.28%716137851.96%39277150.84%422441183516
24Toronto Maple Leafs200001104401000010012-11000001032130.500461000102360171919963221034500.00%50100.00%0710135852.28%716137851.96%39277150.84%462740183718
25Vancouver Canucks200010015501000000123-11000100032130.50059140001335419211010722334461417.14%7185.71%0710135852.28%716137851.96%39277150.84%482641183620
26Vegas Golden Knights11000000312000000000001100000031231.000369001110281396032310224250.00%5180.00%1710135852.28%716137851.96%39277150.84%2112208178
27Winnipeg Jets22000000853110000004221100000043161.00081523002330671432210701725444250.00%10280.00%0710135852.28%716137851.96%39277150.84%392146193316
Total582222062511571451230111203121847592811100313073703910.5231572544115135516016173654461455644183359566013342173616.59%2254480.44%5710135852.28%716137851.96%39277150.84%12747441244526999500
_Since Last GM Reset582222062511571451230111203121847592811100313073703910.5231572544115135516016173654461455644183359566013342173616.59%2254480.44%5710135852.28%716137851.96%39277150.84%12747441244526999500
_Vs Conference361117041309095-51849031104550-518780102045450480.4449014323351232931910293193663302511443954328421382417.39%1463079.45%3710135852.28%716137851.96%39277150.84%784451774326619311
_Vs Division1647030204546-1814020102325-28330101022211220.458457011520131512545913717014514509193220386581017.24%651576.92%1710135852.28%716137851.96%39277150.84%354203342144276139

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5891W615725441117361833595660133451
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5822226251157145
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30111231218475
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28111031307370
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2173616.59%2254480.44%5
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
5446145564435516016
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
710135852.28%716137851.96%39277150.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12747441244526999500


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 Flyers3New York Islanders1LSommaire du match
88497Hamilton Mustangs4New York Islanders1LSommaire du match
91505New York Islanders2Edmonton Oilers1WXXSommaire du match
94526Edmonton Oilers3New York Islanders1LSommaire du match
96540Columbus Blue Jackets1New York Islanders6WSommaire du match
97547New York Islanders2Columbus Blue Jackets3LXSommaire du match
99561New York Islanders5Chicago Blackhawks4WSommaire du match
101575St Louis Blues2New York Islanders6WSommaire du match
104595New York Islanders3Toronto Maple Leafs2WXXSommaire du match
106603Carolina Hurricanes2New York Islanders3WXXSommaire du match
109617Tampa Bay Lightning5New York Islanders3LSommaire du match
113632Quebec Nordiques1New York Islanders4WSommaire du match
116651New York Islanders3Ottawa Senators5LSommaire du match
119663Montreal Canadiens1New York Islanders3WSommaire du match
121677Winnipeg Jets2New York Islanders4WSommaire du match
123687Detroit Red Wings3New York Islanders1LSommaire du match
125701New York Islanders1Los Angeles Kings4LSommaire du match
127716Vancouver Canucks3New York Islanders2LXXSommaire du match
129730New York Islanders2Seattle Kraken1WXSommaire du match
131744New York Islanders5Anaheim Mighty Ducks2WSommaire du match
134761New York Islanders2New York Rangers1WXSommaire du match
136776New Jersey Devils2New York Islanders3WXSommaire du match
138788Florida Panthers1New York Islanders6WSommaire du match
140800Boston Bruins4New York Islanders5WXSommaire du match
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
Assistance140,828108,97345,414109,14835,020
Attendance PCT79.03%74.74%76.45%91.88%92.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 14646 - 81.37% 1,074,021$32,220,625$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
62,766,480$ 79,997,999$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 62,766,480$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
10,740,208$ 48 425,521$ 20,425,008$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
20,767,632$ 59,502,740$ 50,058,138$



Charte de profondeur

Ailier gaucheCentreAilier droit
Matthew TkachukAGE:27PO:55OV:80
Kent Johnson (R)AGE:22PO:55OV:74
Fabian ZetterlundAGE:25PO:55OV:73
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
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
Artturi LehkonenAGE:29PO:55OV:73
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
Gustav ForslingAGE:29PO:55OV:75
Noah JuulsenAGE:28PO:55OV:74
Ilya LyubushkinAGE:31PO:55OV:73
Sami VatanenAGE:34PO:55OV:73
Zach WhitecloudAGE:28PO:55OV:73
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")
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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
300 100 Money TradedNew 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 MateychukNew 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




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New York Islanders Historique de transactions

[2026-06-15 4:13:50 PM] New Record for Team's Most Penalties Minutes (41) in 1 Game for New York Islanders!
[2026-06-04 11:32:37 AM] TRADE : From New York Islanders to Los Angeles Kings : $55,850 (Money).
[2026-06-03 10:40:03 AM] TRADE : From New York Islanders to Detroit Red Wings : $979,348 (Money).
[2026-06-03 10:19:35 AM] TRADE : From Vegas Golden Knights to New York Islanders : $912,578 (Money).
[2026-06-03 10:03:13 AM] TRADE : From Montreal Canadiens to New York Islanders : $1,073,578 (Money).
[2026-05-25 11:07:02 AM] New Record for Team's Most Penalties Minutes (35) in 1 Game for New York Islanders!
[2026-05-22 3:19:39 PM] TRADE : From San Jose Sharks to New York Islanders : $100,000 (Money).
[2026-05-22 3:19:39 PM] TRADE : From New York Islanders to San Jose Sharks : Travis Hamonic (75).
[2026-05-22 3:19:30 PM] TRADE : From San Jose Sharks to New York Islanders : $100,000 (Money).
[2026-05-22 3:19:30 PM] TRADE : From New York Islanders to San Jose Sharks : Michael Dal Colle (70).
[2026-05-22 3:17:34 PM] New Record for Team's Most Hits (37) in 1 Game for New York Islanders!
[2026-05-20 4:08:54 PM] TRADE : From Winnipeg Jets to New York Islanders : Fabian Zetterlund (73), Zach Whitecloud (73), Artturi Lehkonen (73).
[2026-05-20 4:08:54 PM] TRADE : From New York Islanders to Winnipeg Jets : Ryan Murray (77).
[2026-05-20 4:08:24 PM] TRADE : From New York Islanders to Detroit Red Wings : $100,100 (Money).
[2026-05-20 4:08:24 PM] TRADE : From Detroit Red Wings to New York Islanders : Sami Vatanen (73).
[2026-05-13 4:04:20 PM] New Record for Team's Most Penalties Minutes (33) in 1 Game for New York Islanders!
[2026-05-12 10:54:06 PM] 200 000 Money Traded has been added to New York Islanders.
[2026-05-12 10:53:25 PM] TRADE : From Ottawa Senators to New York Islanders : Noah Juulsen (74).
[2026-05-12 10:53:25 PM] TRADE : From New York Islanders to Ottawa Senators : $200,000 (Money), Y:26-RND:5-NYI.
[2026-05-12 5:35:03 PM] TRADE : From New York Islanders to Montreal Canadiens : Y:26-RND:7-NYI.
[2026-05-12 5:35:03 PM] TRADE : From Montreal Canadiens to New York Islanders : Ilya Lyubushkin (73).
[2026-05-05 3:38:47 PM] New Record for Team's Most Points (17) in 1 Game for New York Islanders!
[2026-05-05 3:38:47 PM] New Record for Team's Most Assists (11) in 1 Game for New York Islanders!
[2026-04-30 3:25:19 PM] New Record for Team's Most Points (15) in 1 Game for New York Islanders!
[2026-04-30 3:25:19 PM] New Record for Team's Most Assists (9) in 1 Game for New York Islanders!
[2026-04-30 3:25:19 PM] New Record for Team's Most Goals (6) in 1 Game for New York Islanders!
[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!



Matt Luff est dehors pour 2 mois à cause de Left Hand 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