Connexion

New York Islanders
GP: 41 | W: 24 | L: 14 | OTL: 3 | P: 68
GF: 106 | GA: 93 | PP%: 17.31% | PK%: 82.44%
DG: Tim | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #503 vs Chicago Blackhawks

Centre de jeu
New York Islanders
24-14-3, 68pts
0
FINAL
1 Tampa Bay Lightning
23-13-5, 67pts
Team Stats
L4SéquenceW4
11-7-2Fiche domicile12-6-2
13-7-1Fiche visiteur11-7-3
5-4-1Derniers 10 matchs6-3-1
2.59Buts par match 2.54
2.27Buts contre par match 2.61
17.31%Pourcentage en avantage numérique17.14%
82.44%Pourcentage en désavantage numérique84.67%
Tampa Bay Lightning
23-13-5, 67pts
4
FINAL
2 New York Islanders
24-14-3, 68pts
Team Stats
W4SéquenceL4
12-6-2Fiche domicile11-7-2
11-7-3Fiche visiteur13-7-1
6-3-1Derniers 10 matchs5-4-1
2.54Buts par match 2.59
2.61Buts contre par match 2.27
17.14%Pourcentage en avantage numérique17.31%
84.67%Pourcentage en désavantage numérique82.44%
New York Islanders
24-14-3, 68pts
Jour 97
Chicago Blackhawks
22-13-6, 65pts
Statistiques d’équipe
L4SéquenceW2
11-7-2Fiche domicile9-8-4
13-7-1Fiche visiteur13-5-2
5-4-110 derniers matchs5-3-2
2.59Buts par match 2.78
2.27Buts contre par match 2.78
17.31%Pourcentage en avantage numérique16.77%
82.44%Pourcentage en désavantage numérique81.58%
Minnesota North Stars
13-18-10, 44pts
Jour 99
New York Islanders
24-14-3, 68pts
Statistiques d’équipe
L1SéquenceL4
7-9-5Fiche domicile11-7-2
6-9-5Fiche visiteur13-7-1
4-4-210 derniers matchs5-4-1
2.22Buts par match 2.59
2.78Buts contre par match 2.59
23.39%Pourcentage en avantage numérique17.31%
82.14%Pourcentage en désavantage numérique82.44%
St Louis Blues
21-16-4, 63pts
Jour 101
New York Islanders
24-14-3, 68pts
Statistiques d’équipe
L1SéquenceL4
13-8-0Fiche domicile11-7-2
8-8-4Fiche visiteur13-7-1
5-5-010 derniers matchs5-4-1
2.59Buts par match 2.59
2.59Buts contre par match 2.59
16.80%Pourcentage en avantage numérique17.31%
82.32%Pourcentage en désavantage numérique82.44%
Meneurs d'équipe
Tyler SeguinButs
Tyler Seguin
21
Jack EichelPasses
Jack Eichel
30
Jack EichelPoints
Jack Eichel
44
Ryan MurrayPlus/Moins
Ryan Murray
10
Igor ShesterkinVictoires
Igor Shesterkin
17
Igor ShesterkinPourcentage d’arrêts
Igor Shesterkin
0.932

Statistiques d’équipe
Buts pour
106
2.59 GFG
Tirs pour
1204
29.37 Avg
Pourcentage en avantage numérique
17.3%
27 GF
Début de zone offensive
39.7%
Buts contre
93
2.27 GAA
Tirs contre
1243
30.32 Avg
Pourcentage en désavantage numérique
82.4%%
23 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralTim
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineSeth Jones
Assistant #1Tyler Seguin
Assistant #2Filip Forsberg


Informations de l’aréna

NomUBS Arena
Capacité18,000
Assistance14,436
Billets de saison7,380


Informations de la formation

Équipe Pro22
Équipe Mineure27
Limite contact 49 / 250
Espoirs32


Finance

Revenu annuel à ce jour21,748,036$
Dépenses annuelles à ce jour41,339,016$
Revenus de la saison estimés20,660,634$
Dépenses de la saison estimées37,104,115$
Compte bancaire actuel65,440,705$
Compte bancaire projeté49,617,736$


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
SP
Âge
Contrat
Salaire
1Tyler Seguin (A)0X100.006548879371929891999088768580790408203218,250,000$
2Jack Eichel0X100.0069508491779498859590907884688204082N02727,000,000$
3Filip Forsberg (A)0X100.008249879372919081709090728378820408002938,000,000$
4Matthew Tkachuk0X100.008745749075909485698786738372710408002635,750,000$
5John Tavares0X100.006748828179909788978784707781780407903323,800,000$
6Lucas Raymond (R)0X100.006040829165888985648485698568730407702231,750,000$
7Christian Dvorak0X100.008247838569879177948577727777760407602813,830,000$
8Mark Stone0X100.006248867578898778698080747680790407503213,750,000$
9Brett Bulmer0X100.007850798968828273667577687380710407303212,100,000$
10Devin Shore0X100.00644787777485897588787370737875040730294750,000$
11Jesse Puljujarvi0X100.007848837785868874557572707372810407302612,000,000$
12Rudolfs Balcers0X100.009340768365818171587171737375780407202721,000,000$
13Seth Jones (C)0X100.007049938895969980508370857078870408102946,850,000$
14Rasmus Sandin (R)0X100.008740919965839180508274797768800407902411,000,000$
15Adam Boqvist (R)0X100.007547819971878681509379687866720407802323,825,000$
16Ryan Murray0X100.006149937986949978508774807079810407803034,000,000$
17Bowen Byram0X100.009052798981889678507874787468720407802322,000,000$
18Jacob Bryson0X100.00673585956081847553796870727573040730263540,000$
Rayé
1Owen Tippett0X100.008851807682868670697271717271810407202511,750,000$
2Ryan McDonagh0X100.0074478763928384635067597958848704073N03511,000,000$
Équipe Mineure
1Yegor Chinakhov (R)0X100.006042878183808173507078747570780407202331,000,000$
2Nick Paul0X100.00915478649979816579686674647875040700293560,000$
3Nick Robertson (R)0X100.005640838565748369576974747468720407002231,000,000$
4Trevor Lewis0X100.00774675687580806879717060708883040690371500,000$
5Dryden Hunt0X100.00944978736878786465666768677772040680281500,000$
6Josh Jooris0X100.006543777575747463736566706581680406703311,450,000$
7Simon Holmstrom (R)0X100.005348847282777863536567736768760406702321,000,000$
8Joey Anderson0X100.00714783667676776052646471637579040660262800,000$
9Nikolay Kulemin0X100.00665179568576716670696662628886040660371500,000$
10Cole Guttman0X100.00513081835075836074626371677367040660254525,000$
11Brett Ritchie0X100.00905770598873736061626165597977040650311500,000$
12Matt Luff0X100.00694475697769716073616371637567040650272520,000$
13Pavel Mintyukov (R)0X100.007542829078838978508066647063780407402031,500,000$
14Justin Schultz0X100.00534185757884887167726565658174040700331500,000$
15Martin Marincin0X100.00645567639582856750716269608070040700321600,000$
16Victor Mete0X100.00554284826677796850706276647274040700263500,000$
17Justin Barron (R)0X100.006945837875798768506969676668780407002231,000,000$
18Akito Hirose0X100.00563578876073816450685964637360040670254500,000$
19Jake Neighbours (R)0X92.50845973758080886465686770686570040690222900,000$
20Dmytro Timashov0X87.42902074745072736055646469646867040650272500,000$
21Christoffer Ehn0X100.00734083746275756072636166647577040650284500,000$
22Erik Gustafsson0X100.00544388828481917150746671678278040730351900,000$
23Mark Giordano0X100.00715067657775846650696577609982040710401600,000$
24Mike Reilly0X100.00614482746172776550686364617780040660301500,000$
MOYENNE D’ÉQUIPE99.5472458179758285716374717170757604072
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
SP
Âge
Contrat
Salaire
1Petr Mrazek0100.00848487828686878689868581700408203213,565,000$
2Igor Shesterkin0100.00858388809086888890878777660408202844,000,000$
Rayé
Équipe Mineure
1Nico Daws0100.0080777786838283858582826661040780231700,000$
2Lukas Dostal (R)0100.0090808582807778808077787361040770243800,000$
3Ivan Prosvetov0100.0083657088737173737372707557040720254500,000$
MOYENNE D’ÉQUIPE100.008478818482808282838180746304078
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’équipe
POS
GP
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
1Jack EichelNew York IslandersC4114304462556573134479610.45%2081019.7721113171361123473251.10%7263011001.0934100143
2Tyler SeguinNew York IslandersC41211536-11004481163378312.88%2183220.308816221390002565453.22%9153016010.8624000531
3Filip ForsbergNew York IslandersRW411417313140755114841889.46%1777218.85491327145000166140.00%504217110.8012000331
4Matthew TkachukNew York IslandersLW411021314340995714646906.85%1375818.50459131210001133234.78%463810000.8201000144
5Lucas RaymondNew York IslandersRW41131124-91803925109326411.93%858914.3925714116000001156.00%253010100.8100000021
6John TavaresNew York IslandersC40910190295344983355210.84%854013.52000038000172156.36%346135000.7000001312
7Christian DvorakNew York IslandersC4151217012074607213296.94%2265215.9223549700031090055.78%3462618100.5200000003
8Seth JonesNew York IslandersD411111265540673821212.63%43101924.860001890000135000%0948000.2400010120
9Adam BoqvistNew York IslandersD415611-318045545418279.26%3779619.4241515148000023200%01723000.2800000111
10Mark StoneNew York IslandersLW4137104215294629143310.34%2174118.0800012610151081041.46%41620000.2700001002
11Brett BulmerNew York IslandersRW3736912205936388217.89%1053814.55011012000000035.29%34144000.3300000101
12Jesse PuljujarviNew York IslandersLW414592140494130141913.33%1147211.52011050111750131.25%16613000.3800000012
13Ryan MurrayNew York IslandersD41077109520603314160%5596023.4200011350111121000%01034000.1500100000
14Rasmus SandinNew York IslandersD4032501357042363148.33%3370617.66101574000053000%0517100.1400010000
15Jacob BrysonNew York IslandersD24044-340101812770%2136115.070000400005000%0013000.2200000000
16Devin ShoreNew York IslandersC4112336019264114312.44%53207.8200000000080055.88%68135000.1900000000
17Ryan McDonaghNew York IslandersD19033-200212311740%1430416.0400003011134000%004000.2000000000
18Bowen ByramNew York IslandersD4103353208553341490%4374618.2100001000173000%0621000.0800000000
19Owen TippettNew York IslandersRW31112514028212614143.85%52568.2700010000000025.00%812000.1600000000
20Rudolfs BalcersNew York IslandersRW1301114021683100%1987.6000000000000050.00%460000.2000000000
Statistiques d’équipe totales ou en moyenne737107174281323043092688912454027288.59%4081228016.66274471121129924620882231252.27%2625302291420.46611222162121
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Igor ShesterkinNew York Islanders30171120.9322.0118212261898423131.00043011831
2Petr MrazekNew York Islanders117310.9212.426690027341151010.66761130200
Statistiques d’équipe totales ou en moyenne41241430.9292.12249122881239574141041411031


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’équipe
POS
Âge
Date de naissance
Pays
Recrue
Poids
Taille
Non-échange
Disponible pour échange
Acquis Par
Date de la Dernière Transaction
Ballotage forcé
Waiver Possible
Contrat
Date du Signature du Contrat
Forcer UFA
Rappel d'urgence
Type
Salaire actuel
Salaire restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Adam Boqvist (contrat à 1 volet)New York IslandersD232000-08-15SWEYes190 Lbs6 ft0NoNoFree AgentNoNo22024-08-27FalseFalsePro & Farm3,825,000$1,796,271$0$0$No3,825,000$--------3,285,000$--------No--------Lien / Lien NHL
Bowen ByramNew York IslandersD232001-06-13CANNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$939,227$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Brett BulmerNew York IslandersRW321992-04-26CANNo212 Lbs6 ft2NoNoTrade2024-12-20NoNo12024-10-04FalseFalsePro & Farm2,100,000$986,188$0$0$No---------------------------Lien / Lien NHL
Christian Dvorak (contrat à 1 volet)New York IslandersC281996-02-02USANo201 Lbs6 ft1NoNoTrade2024-08-24NoNo1FalseFalsePro & Farm3,830,000$1,798,619$0$0$No---------------------------Lien / Lien NHL
Devin ShoreNew York IslandersC291994-07-19CANNo205 Lbs6 ft1NoNoFree Agent2024-08-30NoNo42024-10-07FalseFalsePro & Farm750,000$352,210$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien / Lien NHL
Filip Forsberg (contrat à 1 volet)New York IslandersRW291994-08-13SWENo205 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm8,000,000$3,756,906$0$0$No8,000,000$8,000,000$-------8,000,000$8,000,000$-------NoNo-------Lien / Lien NHL
Igor Shesterkin (contrat à 1 volet)New York IslandersG281995-12-30RUSNo190 Lbs6 ft1NoNoFree Agent2024-06-18NoNo42024-09-23FalseFalsePro & Farm4,000,000$1,878,453$0$0$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Lien / Lien NHL
Jack Eichel (contrat à 1 volet)New York IslandersC271996-10-28USANo203 Lbs6 ft2YesNoN/ANoNo2FalseFalsePro Only7,000,000$3,287,293$0$0$No7,000,000$--------7,000,000$--------Yes--------Lien / Lien NHL
Jacob BrysonNew York IslandersD261997-11-18CANNo176 Lbs5 ft9NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm540,000$253,591$0$0$No540,000$540,000$-------540,000$540,000$-------NoNo-------Lien / Lien NHL
Jesse PuljujarviNew York IslandersLW261998-05-07FINNo201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$939,227$0$0$No---------------------------Lien / Lien NHL
John Tavares (contrat à 1 volet)New York IslandersC331990-09-20CANNo212 Lbs6 ft1NoNoTrade2025-03-06NoNo2FalseFalsePro & Farm3,800,000$1,784,530$0$0$No3,800,000$--------3,800,000$--------No--------Lien / Lien NHL
Lucas RaymondNew York IslandersRW222002-03-28SWEYes183 Lbs5 ft10NoNoFree AgentNoNo32024-10-07FalseFalsePro & Farm1,750,000$821,823$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien / Lien NHL
Mark Stone (contrat à 1 volet)New York IslandersLW321992-05-13CANNo212 Lbs6 ft4NoNoTrade2024-04-26NoNo1FalseFalsePro & Farm3,750,000$1,761,050$0$0$No---------------------------Lien / Lien NHL
Matthew Tkachuk (contrat à 1 volet)New York IslandersLW261997-12-11USANo201 Lbs6 ft2NoNoTrade2024-06-18NoNo3FalseFalsePro & Farm5,750,000$2,700,276$0$0$No5,750,000$5,750,000$-------5,750,000$5,750,000$-------NoNo-------Lien / Lien NHL
Owen TippettNew York IslandersRW251999-02-16CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,750,000$821,823$0$0$No---------------------------Lien / Lien NHL
Petr Mrazek (contrat à 1 volet)New York IslandersG321992-02-14CZENo187 Lbs6 ft2NoNoTrade2024-04-26NoNo1FalseFalsePro & Farm3,565,000$1,674,171$0$0$No---------------------------Lien / Lien NHL
Rasmus SandinNew York IslandersD242000-03-07SWEYes179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$469,613$0$0$No---------------------------Lien / Lien NHL
Rudolfs BalcersNew York IslandersRW271997-04-08LVANo182 Lbs5 ft11NoNoFree Agent2024-08-28NoNo22024-10-07FalseFalsePro & Farm1,000,000$469,613$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Ryan McDonagh (contrat à 1 volet)New York IslandersD351989-06-13USANo214 Lbs6 ft1YesNoFree AgentNoNo12024-09-23FalseFalsePro Only1,000,000$469,613$0$0$No---------------------------Lien / Lien NHL
Ryan Murray (contrat à 1 volet)New York IslandersD301993-09-27CANNo206 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm4,000,000$1,878,453$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien NHL
Seth Jones (contrat à 1 volet)New York IslandersD291994-10-03USANo209 Lbs6 ft4NoNoFree AgentNoNo42024-09-18FalseFalsePro & Farm6,850,000$3,216,851$0$0$No6,850,000$6,850,000$6,850,000$------6,850,000$6,850,000$6,850,000$------NoNoNo------Lien / Lien NHL
Tyler Seguin (contrat à 1 volet)New York IslandersC321992-01-31CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm8,250,000$3,874,309$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.09199 Lbs6 ft12.093,477,727$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
76,510,000$49,265,000$31,640,000$11,600,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark StoneJack EichelFilip Forsberg34023
2Matthew TkachukTyler SeguinChristian Dvorak34023
3Brett BulmerJohn TavaresLucas Raymond22023
4Jesse PuljujarviDevin ShoreRudolfs Balcers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bowen ByramSeth Jones32041
2Rasmus SandinRyan Murray29032
3Jacob BrysonAdam Boqvist29041
4Seth JonesRyan Murray10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack EichelTyler SeguinFilip Forsberg55005
2Matthew TkachukChristian DvorakLucas Raymond45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurrayAdam Boqvist60014
2Seth JonesJohn Tavares40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian DvorakMark Stone60050
2John TavaresJesse Puljujarvi40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesRyan Murray60050
2Rasmus SandinBowen Byram40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Seguin60050Bowen ByramRyan Murray60050
2Christian Dvorak40050Rasmus SandinSeth Jones40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack EichelFilip Forsberg60023
2Tyler SeguinMatthew Tkachuk40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bowen ByramSeth Jones60041
2Rasmus SandinRyan Murray40041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack EichelTyler SeguinFilip ForsbergAdam BoqvistSeth Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark StoneTyler SeguinChristian DvorakBowen ByramSeth Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Seguin, Filip Forsberg, Jack EichelLucas Raymond, Filip ForsbergTyler Seguin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Jones, Ryan Murray, Adam BoqvistAdam BoqvistJacob Bryson, Bowen Byram
Tirs de pénalité
Tyler Seguin, Jack Eichel, Filip Forsberg, Matthew Tkachuk, Adam Boqvist
Gardien
#1 : Petr Mrazek, #2 : Igor Shesterkin
Lignes d’attaque personnalisées en prolongation
Tyler Seguin, Jack Eichel, Filip Forsberg, Matthew Tkachuk, Lucas Raymond, John Tavares, Christian Dvorak, , ,
Lignes de défense personnalisées en prolongation
Seth Jones, Bowen Byram, Ryan Murray, Adam Boqvist, Rasmus Sandin


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
Total
Domicile
Visiteur
#
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
1Boston Bruins1010000023-1000000000001010000023-100.0002350020003416108030911183133.33%30100.00%051395653.66%49895752.04%26149752.52%2314208168
2California Golden Seals220000001284110000005321100000075261.0001219310024606017212205918163010330.00%8187.50%051395653.66%49895752.04%26149752.52%442741173317
3Carolina Hurricanes41200001811-3210000016512020000026-440.333814221002611123538393118472210914321.43%11281.82%051395653.66%49895752.04%26149752.52%885286366934
4Chicago Blackhawks1010000003-31010000003-30000000000000.00000000000025799034151026300.00%6266.67%051395653.66%49895752.04%26149752.52%2012248147
5Colorado Avalanche11000000642000000000001100000064231.000610160023103614175021141024100.00%5180.00%051395653.66%49895752.04%26149752.52%2314198167
6Columbus Blue Jackets22000000633110000002111100000042261.000681400033062212516054181745700.00%6183.33%051395653.66%49895752.04%26149752.52%462941173216
7Detroit Red Wings21000010734100000103211100000041350.83371017001322641624215651610457228.57%5180.00%051395653.66%49895752.04%26149752.52%472843173316
8Edmonton Oilers1010000024-21010000024-20000000000000.00023500011030561904191023100.00%5180.00%051395653.66%49895752.04%26149752.52%2012249157
9Florida Panthers420020001881021001000624210010001266100.8331832500075421273431602128442511116637.50%10370.00%051395653.66%49895752.04%26149752.52%915585376833
10Hamilton Mustangs21000010633110000003121000001032150.8336713000232591416293621930447457.14%15286.67%051395653.66%49895752.04%26149752.52%452543183516
11Los Angeles Kings2110000012-1110000001011010000002-230.50011201010047181514050171652300.00%8187.50%051395653.66%49895752.04%26149752.52%442540173417
12Minnesota North Stars11000000523000000000001100000052331.0005611000050281171002746169111.11%3166.67%051395653.66%49895752.04%26149752.52%2515179169
13New Jersey Devils22000000312110000001011100000021161.000369011110542711160502110481400.00%50100.00%051395653.66%49895752.04%26149752.52%472838183418
14New York Rangers4210100010912010100057-22200000052380.667101626001351125314642613343127913215.38%6183.33%151395653.66%49895752.04%26149752.52%905687336431
15Philadelphia Flyers2010010046-21010000034-11000010012-110.1674610101030571316253631819528112.50%7185.71%151395653.66%49895752.04%26149752.52%422345183518
16Pittsburgh Penguins1010000012-1000000000001010000012-100.00012300001028517603361425200.00%70100.00%051395653.66%49895752.04%26149752.52%2011249157
17Quebec Nordiques1010000013-21010000013-20000000000000.0001121010002379701910021700.00%000%051395653.66%49895752.04%26149752.52%25151681810
18Seattle Kraken210001004401000010023-11100000021140.667481200022054161720161288469222.22%40100.00%051395653.66%49895752.04%26149752.52%442541183719
19St Louis Blues1010000013-2000000000001010000013-200.00012300100038720110408815300.00%4325.00%051395653.66%49895752.04%26149752.52%2416207147
20Tampa Bay Lightning4020101078-12010001056-12010100022040.3337101710122211930364871223522941417.14%11190.91%051395653.66%49895752.04%26149752.52%986182346633
21Toronto Maple Leafs1010000023-11010000023-10000000000000.00024600002022641203399225120.00%2150.00%051395653.66%49895752.04%26149752.52%1910229178
Total411714042311069313207702121474702110702110594613680.553106168274422032471012043503954393012434082859451562717.31%1312382.44%251395653.66%49895752.04%26149752.52%935563869364693351
_Since Last GM Reset411714042311069313207702121474702110702110594613680.553106168274422032471012043503954393012434082859451562717.31%1312382.44%251395653.66%49895752.04%26149752.52%935563869364693351
_Vs Conference2471004111565421235020112930-112450210027243330.458569415041141324670120421826321729242144579961515.63%62985.48%251395653.66%49895752.04%26149752.52%549330508215406206
_Vs Division1875040114637993202011232039430200023176320.59346781242110131865371571622051855119091441711216.90%43783.72%151395653.66%49895752.04%26149752.52%417254380160303152

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4168L41061682741204124340828594542
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
411714423110693
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
207721214747
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2110721105946
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1562717.31%1312382.44%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
3503954393020324710
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
51395653.66%49895752.04%26149752.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
935563869364693351


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
29New York Islanders7California Golden Seals5WSommaire du match
423Los Angeles Kings0New York Islanders1WSommaire du match
633New York Islanders1St Louis Blues3LSommaire du match
740Columbus Blue Jackets1New York Islanders2WSommaire du match
1049New York Islanders1Pittsburgh Penguins2LSommaire du match
1263Philadelphia Flyers4New York Islanders3LSommaire du match
1684Quebec Nordiques3New York Islanders1LSommaire du match
1896New York Islanders2Boston Bruins3LSommaire du match
20108New York Islanders1Carolina Hurricanes3LSommaire du match
22119Florida Panthers1New York Islanders2WXSommaire du match
24132New York Islanders2New Jersey Devils1WSommaire du match
26143New York Rangers6New York Islanders3LSommaire du match
28154New York Islanders2Tampa Bay Lightning1WXSommaire du match
30165Carolina Hurricanes1New York Islanders3WSommaire du match
32176New York Islanders7Florida Panthers2WSommaire du match
34189New Jersey Devils0New York Islanders1WSommaire du match
36201New York Islanders1Philadelphia Flyers2LXSommaire du match
38212Toronto Maple Leafs3New York Islanders2LSommaire du match
40224California Golden Seals3New York Islanders5WSommaire du match
41231Chicago Blackhawks3New York Islanders0LSommaire du match
44242New York Islanders4Detroit Red Wings1WSommaire du match
48258New York Islanders2Seattle Kraken1WSommaire du match
50267Seattle Kraken3New York Islanders2LXSommaire du match
53278New York Islanders6Colorado Avalanche4WSommaire du match
57293New York Islanders2New York Rangers1WSommaire du match
60307Tampa Bay Lightning2New York Islanders3WXXSommaire du match
61315New York Islanders1Carolina Hurricanes3LSommaire du match
65332New York Rangers1New York Islanders2WXSommaire du match
67344Florida Panthers1New York Islanders4WSommaire du match
69359New York Islanders5Florida Panthers4WXSommaire du match
70365New York Islanders3New York Rangers1WSommaire du match
73381Carolina Hurricanes4New York Islanders3LXXSommaire du match
74390Hamilton Mustangs1New York Islanders3WSommaire du match
76399New York Islanders3Hamilton Mustangs2WXXSommaire du match
78410Detroit Red Wings2New York Islanders3WXXSommaire du match
81421New York Islanders5Minnesota North Stars2WSommaire du match
83438New York Islanders4Columbus Blue Jackets2WSommaire du match
86455Edmonton Oilers4New York Islanders2LSommaire du match
87457New York Islanders0Los Angeles Kings2LSommaire du match
89469New York Islanders0Tampa Bay Lightning1LSommaire du match
92481Tampa Bay Lightning4New York Islanders2LSommaire du match
97503New York Islanders-Chicago Blackhawks-
99512Minnesota North Stars-New York Islanders-
101524St Louis Blues-New York Islanders-
104540Vegas Golden Knights-New York Islanders-
106552Colorado Avalanche-New York Islanders-
109561New York Islanders-Vegas Golden Knights-
111567New York Islanders-Toronto Maple Leafs-
113577Pittsburgh Penguins-New York Islanders-
115592Boston Bruins-New York Islanders-
118603Montreal Canadiens-New York Islanders-
120615New York Islanders-Quebec Nordiques-
123627New York Islanders-Montreal Canadiens-
127645New York Islanders-Edmonton Oilers-
128653Florida Panthers-New York Islanders-
130665New York Islanders-Florida Panthers-
132678New York Islanders-New Jersey Devils-
134687New Jersey Devils-New York Islanders-
137699Toronto Maple Leafs-New York Islanders-
139712New York Islanders-Philadelphia Flyers-
142725Quebec Nordiques-New York Islanders-
144738New York Islanders-Pittsburgh Penguins-
146749Montreal Canadiens-New York Islanders-
148762New York Islanders-Boston Bruins-
152775Boston Bruins-New York Islanders-
154788New York Islanders-Montreal Canadiens-
156799Pittsburgh Penguins-New York Islanders-
158812New York Islanders-Quebec Nordiques-
161825Philadelphia Flyers-New York Islanders-
163838New York Islanders-Toronto Maple Leafs-
165846New York Islanders-Carolina Hurricanes-
166852Carolina Hurricanes-New York Islanders-
169866New York Rangers-New York Islanders-
170872New York Islanders-New York Rangers-
173889Tampa Bay Lightning-New York Islanders-
174898New York Islanders-Tampa Bay Lightning-
179915New York Islanders-New Jersey Devils-
180927New Jersey Devils-New York Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets93523225188
Assistance98,65676,81331,17061,38020,700
Attendance PCT83.04%79.03%78.71%77.50%82.14%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 14436 - 80.20% 1,087,402$21,748,036$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
41,339,016$ 79,010,000$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 41,339,016$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
20,660,634$ 85 436,519$ 37,104,115$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
37,895,635$ 65,440,705$ 49,617,736$



Charte de profondeur

Ailier gaucheCentreAilier droit
Matthew TkachukAGE:26PO:0OV:80
Mark StoneAGE:32PO:0OV:75
Jesse PuljujarviAGE:26PO:0OV:73
Nick Robertson (R)AGE:22PO:0OV:70
Jake Neighbours (R)AGE:22PO:0OV:69
Dryden HuntAGE:28PO:0OV:68
Nikolay KuleminAGE:37PO:0OV:66
Dmytro TimashovAGE:27PO:0OV:65
Christoffer EhnAGE:28PO:0OV:65
Tyler SeguinAGE:32PO:0OV:82
Jack EichelAGE:27PO:0OV:82
John TavaresAGE:33PO:0OV:79
Christian DvorakAGE:28PO:0OV:76
Devin ShoreAGE:29PO:0OV:73
Nick PaulAGE:29PO:0OV:70
Trevor LewisAGE:37PO:0OV:69
Josh JoorisAGE:33PO:0OV:67
Cole GuttmanAGE:25PO:0OV:66
Filip ForsbergAGE:29PO:0OV:80
Lucas Raymond (R)AGE:22PO:0OV:77
Brett BulmerAGE:32PO:0OV:73
Rudolfs BalcersAGE:27PO:0OV:72
Owen TippettAGE:25PO:0OV:72
Yegor Chinakhov (R)AGE:23PO:0OV:72
Simon Holmstrom (R)AGE:23PO:0OV:67
Joey AndersonAGE:26PO:0OV:66
Brett RitchieAGE:31PO:0OV:65
Matt LuffAGE:27PO:0OV:65

Défense #1Défense #2Gardien
Seth JonesAGE:29PO:0OV:81
Rasmus Sandin (R)AGE:24PO:0OV:79
Adam Boqvist (R)AGE:23PO:0OV:78
Ryan MurrayAGE:30PO:0OV:78
Bowen ByramAGE:23PO:0OV:78
Pavel Mintyukov (R)AGE:20PO:0OV:74
Ryan McDonaghAGE:35PO:0OV:73
Jacob BrysonAGE:26PO:0OV:73
Erik GustafssonAGE:35PO:0OV:73
Mark GiordanoAGE:40PO:0OV:71
Justin SchultzAGE:33PO:0OV:70
Martin MarincinAGE:32PO:0OV:70
Victor MeteAGE:26PO:0OV:70
Justin Barron (R)AGE:22PO:0OV:70
Akito HiroseAGE:25PO:0OV:67
Mike ReillyAGE:30PO:0OV:66
Petr MrazekAGE:32PO:0OV:82
Igor ShesterkinAGE:28PO:0OV:82
Nico DawsAGE:23PO:0OV:78
Lukas Dostal (R)AGE:24PO:0OV:77
Ivan ProsvetovAGE:25PO:0OV:72

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
Espoir
Nom de l’équipe
Année de repêchage
Choix total
Information
Date de la Dernière Transaction
Lien
0x LTCsNew York Islanders00
0x RFA Tag (Brock Boeser Y26)New York Islanders00
20x POS Changes NSHL24New York Islanders00
5x TC PTSNew York Islanders00
9.5mm to acquire via trade in NSHL24New York Islanders00
Amir MiftakhovNew York Islanders21125Lien
Anatoli GolyshevNew York Islanders16116
Brady ClevelandNew York Islanders23102Lien
Calle ClangNew York Islanders20132
Cam HillisNew York Islanders18104
Danil GushchinNew York Islanders2091
Denton MateychuckNew York Islanders2219Lien
Dillon HamaliukNew York Islanders19111Lien
EJ EmeryNew York Islanders2439Lien
Eetu MakiniemiNew York Islanders21131Lien
Felix NilssonNew York Islanders2354Lien
Gavin HayesNew York Islanders2290Lien
Jakub DobesNew York Islanders21123Lien
Jonathan CastagnaNew York Islanders23151Lien
Kent JohnsonNew York Islanders219Lien
Liam OhgrenNew York Islanders2222Lien
Luke GreenNew York Islanders16115
Mavrik BourqueNew York Islanders2026
Nolan AllanNew York Islanders2157Lien
Riley KidneyNew York Islanders2182Lien
Rory KerinsNew York Islanders2267Lien
Tanner MolendykNew York Islanders2343Lien
Theodore NiederbachNew York Islanders2082Lien
Topi NiemelaNew York Islanders2070
Topias LeinonenNew York Islanders2258Lien
Tyler BoucherNew York Islanders2120Lien
Yegor SurinNew York Islanders2433Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
29
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

[2025-04-10 4:29:44 PM] TRADE : From Minnesota North Stars to New York Islanders : $1,063,931 (Money).
[2025-03-06 1:05:21 PM] TRADE : From New York Islanders to Montreal Canadiens : Adam Lowry (73), Martin Misiak (P), Y:25-RND:2-NYI, Y:26-RND:6-NYI.
[2025-03-06 1:05:21 PM] TRADE : From Montreal Canadiens to New York Islanders : John Tavares (79).
[2025-02-20 3:44:57 PM] TRADE : From Detroit Red Wings to New York Islanders : $985,536 (Money).
[2025-02-20 3:44:43 PM] TRADE : From Detroit Red Wings to New York Islanders : $61,005 (Money).



Dmytro Timashov est dehors pour 1 semaine à cause de Right Forearm Injury.
Jake Neighbours est dehors pour 3 jours à cause de Sprained Left Ankle 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