Connexion

New York Islanders
GP: 82 | W: 50 | L: 26 | OTL: 6 | P: 106
GF: 266 | GA: 226 | PP%: 19.39% | PK%: 82.30%
DG: Dave Bergeron | Morale : 79 | Moyenne d’équipe : N/A
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Centre de jeu
New York Islanders
50-26-6, 106pts
5
FINAL
4 New Jersey Devils
42-29-11, 95pts
Team Stats
W2SéquenceL1
25-14-2Fiche domicile21-17-3
25-12-4Fiche visiteur21-12-8
7-2-1Derniers 10 matchs7-2-1
3.24Buts par match 3.49
2.76Buts contre par match 3.33
19.39%Pourcentage en avantage numérique16.61%
82.30%Pourcentage en désavantage numérique77.66%
Pittsburgh Penguins
42-32-8, 92pts
0
FINAL
4 New York Islanders
50-26-6, 106pts
Team Stats
L1SéquenceW2
25-11-5Fiche domicile25-14-2
17-21-3Fiche visiteur25-12-4
4-3-3Derniers 10 matchs7-2-1
3.28Buts par match 3.24
3.22Buts contre par match 2.76
25.49%Pourcentage en avantage numérique19.39%
82.37%Pourcentage en désavantage numérique82.30%
Meneurs d'équipe
Buts
Mitchell Marner
49
Passes
Mitchell Marner
51
Points
Mitchell Marner
100
Plus/Moins
Mitchell Marner
22
Victoires
Jordan Binnington
40
Pourcentage d’arrêts
Jordan Binnington
0.909

Statistiques d’équipe
Buts pour
266
3.24 GFG
Tirs pour
2737
33.38 Avg
Pourcentage en avantage numérique
19.4%
64 GF
Début de zone offensive
43.3%
Buts contre
226
2.76 GAA
Tirs contre
2381
29.04 Avg
Pourcentage en désavantage numérique
82.3%%
43 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralDave Bergeron
EntraîneurPeter Laviolette
DivisionMetropolitan
ConférenceEastern Conference
CapitaineErik Karlsson
Assistant #1Mitchell Marner
Assistant #2Brent Burns


Informations de l’aréna

NomNassau Veterans Memorial Coliseum
Capacité20,000
Assistance19,721
Billets de saison8,000


Informations de la formation

Équipe Pro22
Équipe Mineure26
Limite contact 48 / 250
Espoirs52


Plafond salarial Non Activé

Cap Salarial de la Saison estimé82,398,447$
Plafond salarial disponible101,553$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour72,448,671$
Dépenses annuelles à ce jour86,963,030$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel34,653,023$
Compte bancaire projeté34,653,023$


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
1Sonny MilanoXX100.006237937173838673577068627068707183002721,600,000$
2Paul StastnyX100.005535946973858772877170657290813172003716,500,000$
3T.J. OshieXXX100.008243767472887973747275647788793760003624,500,000$
4Ryan O'ReillyXXX100.005536947379898578867675837185894766003213,000,000$
5Gustav NyquistXXX100.005934907768888573677670837281753183003415,000,000$
6Jakob SilfverbergXX100.005536857179868567577062856781744569003225,250,000$
7Zach HymanXXX100.006939807679908274588188628176789883003132,550,000$
8Mitchell Marner (A)XX100.006234918571928987569283878470718582002648,000,000$
9Tomas NosekXX100.006643826484818765866660825973723480003121,250,000$
10Saku MaenalanenXX100.00773892658976716255605975616869478300294750,000$
11Victor OlofssonX100.005534957569858876577277627569744183002833,250,000$
12Brent Burns (A)XX100.005839837795939076308473815992793483003817,500,000$
13Erik Karlsson (C)X100.0055348881729585823092806462857650760033114,500,000$
14Jeff PetryX100.008837867385938470307864825485773567003534,000,000$
15TJ BrodieX100.006036896878928665307558875283733581003332,500,000$
16Matt RoyX100.00753690687890886730746384536971416000282700,000$
17Zach WhitecloudX100.007539846582888263307169825467683779002643,000,000$
18Johnathan Kovacevic (R)X100.00674181638886875930705774526566626200264750,000$
Rayé
1Lukas Rousek (R)X100.00573691696778766766686963656466485100244775,000$
2Will BorgenX100.008772806684878265307257745067685357002641,799,999$
Équipe Mineure
1Michael SgarbossaX100.00613885677081786675696562647173345000311700,000$
2Cooper Marody (R)X100.00603775657180786472676059636769425000262925,000$
3Matthew Phillips (R)X100.00573393656089856674646559636567475000254750,000$
4Mikhail Maltsev (R)X100.00733986648381806280586361646567595000254800,000$
5CJ SuessX100.00613980597072775761585964596971475000294775,000$
6Fredrik OlofssonX100.00683889627876716357596062586768535000274750,000$
7Samuel Walker (R)X100.00573689686881716669616759656466484700244842,500$
8Matt TennysonX100.00724273578166855630585359477375265000321700,000$
9Christian WolaninX100.00663886647884816330675961526870505000283750,000$
10Lucas Carlsson (R)X100.00633882667289816530686261526668585000264800,000$
11Casey Fitzgerald (R)X100.00754673647085776330665067486566604700264750,000$
12Jack RathboneX100.00573690646686776230605963516466615000244750,000$
13Wyatt KalynukX100.00704168657376826330605355476668475000262925,000$
14Marcus Bjork (R)X100.00774075658984746630676162526668425000254775,000$
15Spencer Stastney (R)X100.00603695647182726330665865506365575000232925,000$
16TJ TynanX100.00403540403580904020404040302525115000312702,019$
17Kyle TurrisXXX100.00403540403580904020404040302525115000343750,000$
18Johan LarssonXXX100.004035404035809040204040403025251150003111,550,000$
19Joseph GambardellaX100.00613792597073835870625758627072355000294750,000$
20Joel KellmanX100.00403540403580904020404040302525115000292700,000$
21Hunter McKown (R)X100.00623679627880615973605058556061435000212950,000$
22Dan HamhuisX100.004035404035809040204040403025251150004021,500,000$
23Sami NikuX100.00403540403580904020404040302525115000263750,000$
24Cavan Fitzgerald (R)X100.00663988557571755430575455466769375000273750,000$
MOYENNE D’ÉQUIPE100.0066398772788784715275697565767448730
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
1Jordan Binnington100.00809490758485878787748974849981003046,000,000$
2Filip Gustavsson (R)100.0074999177798183838470896573997600254825,000$
Rayé
Équipe Mineure
1Adam Huska (R)100.0045908050454545454545502525115000263750,000$
2Felix Sandstrom (R)100.0060967779636769697057736675995300264750,000$
MOYENNE D’ÉQUIPE100.007797917682838585867289707999790
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette84848883878160USA5824,200,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mitchell MarnerNew York IslandersC/RW80495110022180871683859532112.73%22182822.8610112194281112112247332.21%14900111.0903000947
2Zach HymanNew York IslandersC/LW/RW8233366912380163793238523810.22%11166720.334101464295000006450.00%15200010.8323000853
3Ryan O'ReillyNew York IslandersC/LW/RW7426416714295501812577817110.12%22154820.93612187325010131533053.18%215700000.8700100232
4Gustav NyquistNew York IslandersC/LW/RW82273966760711872658220110.19%27174921.34713205126000031885246.74%102700000.7500000544
5Brent BurnsNew York IslandersRW/D82174562530080102183561059.29%93190723.279132211331310121864175.00%400200.6500000144
6Erik KarlssonNew York IslandersD79104555-5403297157541106.37%49169521.478182698317000023200%000000.6500000030
7Victor OlofssonNew York IslandersLW82192746-4402771214571888.88%7156819.12581344250000002048.24%17000000.5902000133
8Jeff PetryNew York IslandersD79103343148151586911631748.62%86150719.089716692620000116200%000000.5700001112
9Paul StastnyNew York IslandersC7912243624043112111258210.81%5110714.022574680111122056.40%139000000.6500000220
10Sonny MilanoNew York IslandersLW/RW8216183441806936122399413.11%8114413.9623513780000385046.91%8100000.5900000332
11T.J. OshieNew York IslandersC/LW/RW71112334-15810232128128341038.59%7134518.942111321238000063049.42%155400000.5100110502
12Jakob SilfverbergNew York IslandersLW/RW8211213231604798162381206.79%16125715.330000600041213144.44%7200000.5100000124
13TJ BrodieNew York IslandersD7072027421553827918508.86%78131718.82077241080001176110%000200.4100001100
14Matt RoyNew York IslandersD7052126748010755599368.47%81115516.5124623610000136110%000000.4500000011
15Zach WhitecloudNew York IslandersD82111324982101395763223717.46%88132916.21000010000149210%000000.3600110134
16Tomas NosekNew York IslandersC/LW743811218052795317455.66%105827.87000070110881053.58%67000000.3800000011
17Johnathan KovacevicNew York IslandersD561787280279205105.00%254548.1101155200004000%000000.3500000000
18Will BorgenNew York IslandersD26167-1420681513687.69%3649919.21000119000032100%000000.2800000100
19Saku MaenalanenNew York IslandersC/LW8015611404510228344.55%23694.6200000000000030.91%5500000.3200000000
20Casey FitzgeraldBridgeport Islanders (NYI)D2000100112000%22512.760000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne14142704837531035593515511636273475920279.88%6752406017.02661231896972874336251660501451.25%748100520.6328322413939
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
1Jordan BinningtonNew York Islanders68401940.9092.6338768317018640110.20056517443
2Filip GustavssonNew York Islanders178610.8973.0391220464460001.00031439000
3Felix SandstromBridgeport Islanders (NYI)10010.8753.53340021600000017000
Statistiques d’équipe totales ou en moyenne86482560.9062.714823103218232601187973443


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Brent BurnsNew York IslandersRW/D387/28/1985No230 Lbs6 ft5NoNoN/ANoYes1Pro Only7,500,000$7,500,000$0$No------------------Lien
Erik KarlssonNew York IslandersD337/28/1990No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm14,500,000$14,500,000$0$No------------------Lien
Filip GustavssonNew York IslandersG256/7/1998Yes184 Lbs6 ft2NoNoN/ANoNo4Pro & Farm825,000$825,000$0$No825,000$825,000$825,000$------NoNoNo------Lien
Gustav NyquistNew York IslandersC/LW/RW349/1/1989No180 Lbs5 ft11NoNoN/ANoYes1Pro & Farm5,000,000$5,000,000$0$No------------------Lien
Jakob SilfverbergNew York IslandersLW/RW3210/13/1990No207 Lbs6 ft1NoNoN/ANoYes2Pro & Farm5,250,000$5,250,000$0$No5,250,000$--------No--------Lien
Jeff PetryNew York IslandersD3512/9/1987No209 Lbs6 ft3NoNoN/ANoNo3Pro & Farm4,000,000$4,000,000$0$No4,000,000$4,000,000$-------NoNo-------Lien
Johnathan KovacevicNew York IslandersD267/12/1997Yes208 Lbs6 ft4NoNoN/ANoNo4Pro & Farm750,000$750,000$0$No750,000$750,000$750,000$------NoNoNo------Lien
Jordan BinningtonNew York IslandersG307/11/1993No172 Lbs6 ft2NoNoN/ANoNo4Pro & Farm6,000,000$6,000,000$0$No6,000,000$6,000,000$6,000,000$------NoNoNo------Lien
Lukas RousekNew York IslandersRW244/20/1999Yes171 Lbs5 ft11NoNoN/ANoNo4Pro & Farm775,000$775,000$0$No775,000$775,000$775,000$------NoNoNo------Lien
Matt RoyNew York IslandersD283/1/1995No205 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$700,000$0$No700,000$--------No--------Lien
Mitchell MarnerNew York IslandersC/RW265/5/1997No181 Lbs6 ft0NoNoN/ANoNo4Pro & Farm8,000,000$8,000,000$0$No8,000,000$8,000,000$8,000,000$------NoNoNo------Lien
Paul StastnyNew York IslandersC377/28/1986No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm6,500,000$6,500,000$0$No------------------Lien
Ryan O'ReillyNew York IslandersC/LW/RW327/28/1991No207 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,000,000$3,000,000$0$No------------------Lien
Saku MaenalanenNew York IslandersC/LW295/29/1994No214 Lbs6 ft4NoNoN/ANoNo4Pro & Farm750,000$750,000$0$No750,000$750,000$750,000$------NoNoNo------Lien
Sonny MilanoNew York IslandersLW/RW275/12/1996No194 Lbs6 ft0NoNoN/ANoYes2Pro & Farm1,600,000$1,600,000$0$No1,600,000$--------No--------Lien
T.J. OshieNew York IslandersC/LW/RW367/28/1987No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm4,500,000$4,500,000$0$No4,500,000$--------No--------Lien
TJ BrodieNew York IslandersD336/7/1990No187 Lbs6 ft2NoNoN/ANoNo3Pro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$-------NoNo-------Lien
Tomas NosekNew York IslandersC/LW319/1/1992No205 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,250,000$1,250,000$0$No1,250,000$--------No--------Lien
Victor OlofssonNew York IslandersLW287/18/1995No181 Lbs5 ft11NoNoN/ANoYes3Pro & Farm3,250,000$3,250,000$0$No3,250,000$3,250,000$-------NoNo-------Lien
Will BorgenNew York IslandersD2612/19/1996No204 Lbs6 ft3NoNoN/ANoNo4Pro & Farm1,799,999$1,799,999$0$No1,799,999$1,799,999$1,799,999$------NoNoNo------Lien
Zach HymanNew York IslandersC/LW/RW316/9/1992No211 Lbs6 ft1NoNoN/ANoYes3Pro & Farm2,550,000$2,550,000$0$No2,550,000$2,550,000$-------NoNo-------Lien
Zach WhitecloudNew York IslandersD2611/28/1996No207 Lbs6 ft2NoNoN/ANoYes4Pro & Farm3,000,000$3,000,000$0$No3,000,000$3,000,000$3,000,000$------NoNoNo------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.32197 Lbs6 ft12.683,818,182$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
83,999,999$47,499,999$34,199,999$21,899,999$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gustav NyquistRyan O'ReillyMitchell Marner37014
2Victor OlofssonT.J. OshieZach Hyman36023
3Sonny MilanoPaul StastnyJakob Silfverberg23014
4Sonny MilanoTomas NosekJakob Silfverberg4014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryErik Karlsson35041
2Matt RoyBrent Burns35032
3TJ BrodieZach Whitecloud30032
4TJ BrodieZach Whitecloud0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Victor OlofssonT.J. OshieMitchell Marner50014
2Zach HymanRyan O'ReillyGustav Nyquist50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsErik Karlsson50014
2Erik KarlssonJeff Petry50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan O'ReillyMitchell Marner51050
2Gustav NyquistJakob Silfverberg49050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1TJ BrodieZach Whitecloud50050
2Matt RoyJeff Petry50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan O'Reilly55050TJ BrodieZach Whitecloud50050
2Tomas Nosek45050Matt RoyJeff Petry50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan O'ReillyZach Hyman50014
2Gustav NyquistMitchell Marner50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryErik Karlsson50041
2Matt RoyBrent Burns50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach HymanRyan O'ReillyMitchell MarnerBrent BurnsJeff Petry
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob SilfverbergRyan O'ReillyMitchell MarnerTJ BrodieBrent Burns
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Hyman, Victor Olofsson, Mitchell MarnerZach Hyman, Mitchell MarnerMitchell Marner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brent Burns, Erik Karlsson, Johnathan KovacevicErik KarlssonBrent Burns, TJ Brodie
Tirs de pénalité
T.J. Oshie, Zach Hyman, Mitchell Marner, Victor Olofsson, Paul Stastny
Gardien
#1 : Jordan Binnington, #2 : Filip Gustavsson
Lignes d’attaque personnalisées en prolongation
Mitchell Marner, Zach Hyman, Ryan O'Reilly, Gustav Nyquist, Paul Stastny, Victor Olofsson, Victor Olofsson, T.J. Oshie, Sonny Milano, Jakob Silfverberg, Tomas Nosek
Lignes de défense personnalisées en prolongation
Erik Karlsson, TJ Brodie, Jeff Petry, Brent Burns, Matt Roy


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 Ducks201010004401010000023-11000100021120.50047110011118124381727319185110110.00%8275.00%01566309050.68%1438278951.56%659126052.30%442952152512
2Arizona Coyotes220000001064110000007431100000032141.000102030003520802422340531714297342.86%7271.43%01566309050.68%1438278951.56%659126052.30%513642142513
3Boston Bruins3210000014862110000011741100000031240.6671426400067101134342280761530526350.00%130100.00%01566309050.68%1438278951.56%659126052.30%714969223818
4Buffalo Sabres321000001046110000007252110000032140.66710182801433011134413607514105911327.27%50100.00%01566309050.68%1438278951.56%659126052.30%805862193619
5Calgary Flames2110000057-21010000025-31100000032120.50051015002120522610160731522418337.50%11190.91%01566309050.68%1438278951.56%659126052.30%422951142512
6Carolina Hurricanes421010001165210010006332110000053260.750112031013521145514845110120205520420.00%9188.89%01566309050.68%1438278951.56%659126052.30%1148374265128
7Chicago Blackhawks2200000012111110000006151100000060641.000122234015250924329200481823711545.45%10100.00%01566309050.68%1438278951.56%659126052.30%564137132514
8Colorado Avalanche22000000826110000003121100000051441.0008142200431086322727047151740400.00%30100.00%01566309050.68%1438278951.56%659126052.30%544040122412
9Columbus Blue Jackets31100100101001010000024-22100010086230.5001019290034309039272407826476210110.00%9277.78%01566309050.68%1438278951.56%659126052.30%745067203819
10Dallas Stars2000000246-21000000123-11000000123-120.50047110020217523173010652543710110.00%2150.00%01566309050.68%1438278951.56%659126052.30%564148142512
11Detroit Red Wings32100000141041010000024-222000000126640.6671426401035601172840490831546112433.33%2150.00%01566309050.68%1438278951.56%659126052.30%765465213818
12Edmonton Oilers22000000945110000006241100000032141.00091625004320541423170622212377228.57%6183.33%01566309050.68%1438278951.56%659126052.30%463149142412
13Florida Panthers3110010010100110000004222010010068-230.50010182800244081262431010430355313323.08%14378.57%01566309050.68%1438278951.56%659126052.30%684671223919
14Los Angeles Kings22000000633110000003121100000032141.000612180021307513332904613143211218.18%60100.00%01566309050.68%1438278951.56%659126052.30%533941142512
15Minnesota Wild22000000633110000003121100000032141.000610160042004992218061208426116.67%40100.00%01566309050.68%1438278951.56%659126052.30%432952152411
16Montreal Canadiens320010001284110000004222100100086261.00012213300524111936433739531206212216.67%80100.00%01566309050.68%1438278951.56%659126052.30%755368213719
17Nashville Predators21100000541110000004131010000013-220.5005914002210762628220631014431119.09%5180.00%01566309050.68%1438278951.56%659126052.30%513442142613
18New Jersey Devils422000001114-32020000028-62200000096340.500112031005240125483641013649397613430.77%15473.33%11566309050.68%1438278951.56%659126052.30%986893274825
19New York Rangers412001001017-7210001008802020000029-730.37510182800433010937323911183236741417.14%16475.00%11566309050.68%1438278951.56%659126052.30%1017290294925
20Ottawa Senators31200000510-52110000047-31010000013-220.333581300311078302127089262454800.00%5260.00%01566309050.68%1438278951.56%659126052.30%724967224020
21Philadelphia Flyers3120000046-22110000034-11010000012-120.3334610013100793018310792722501417.14%10190.00%01566309050.68%1438278951.56%659126052.30%735070223518
22Pittsburgh Penguins422000001192211000006422110000055040.500112132013260130424444011631229618211.11%9277.78%01566309050.68%1438278951.56%659126052.30%986992284925
23San Jose Sharks21100000710-31010000015-41100000065120.5007101700331077312125066228448225.00%3166.67%01566309050.68%1438278951.56%659126052.30%523845112111
24Seattle Kraken2110000036-3110000002111010000015-420.500369001020602015250361716421417.14%8275.00%01566309050.68%1438278951.56%659126052.30%523542142412
25St. Louis Blues21001000862110000004311000100043141.00081523003041812617371589162912325.00%8187.50%01566309050.68%1438278951.56%659126052.30%503544152613
26Tampa Bay Lightning3110010014140211000007611000010078-130.50014233700455091163935110635205814428.57%10460.00%01566309050.68%1438278951.56%659126052.30%694874223718
27Toronto Maple Leafs320010001183220000008621000100032161.0001118290023519831372828618145511218.18%7185.71%01566309050.68%1438278951.56%659126052.30%785565223919
28Vancouver Canucks22000000853110000003211100000053241.0008142200413074221933055611441119.09%3166.67%01566309050.68%1438278951.56%659126052.30%503645142412
29Vegas Golden Knights22000000844110000005231100000032141.00081321003500742132210531615478112.50%50100.00%01566309050.68%1438278951.56%659126052.30%493543142613
30Washington Capitals40400000916-72020000046-220200000510-500.0009172600441093363027013040528810220.00%25580.00%11566309050.68%1438278951.56%659126052.30%926297284923
31Winnipeg Jets21000010752110000003211000001043141.00071118002221722024238501616356116.67%60100.00%01566309050.68%1438278951.56%659126052.30%513545162714
Total8244260541226622640412414011011341102441201204311132116161060.646266475741159982797273790189991629238166960215853306419.39%2434382.30%31566309050.68%1438278951.56%659126052.30%2055144418615891033525
_Since Last GM Reset8244260541226622640412414011011341102441201204311132116161060.646266475741159982797273790189991629238166960215853306419.39%2434382.30%31566309050.68%1438278951.56%659126052.30%2055144418615891033525
_Vs Conference50222103400156150625121101100787352510100230078771540.5401562794351454514831579527522522814724093959551863619.35%1573080.89%31566309050.68%1438278951.56%659126052.30%12478731132359631320
_Vs Division26914012006678-121347011003137-61357001003541-6220.423661211870325211917712832352512758225238501991515.15%931979.57%31566309050.68%1438278951.56%659126052.30%653457587185322166

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82106W226647574127372381669602158515
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8244265412266226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124141101134110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120124311132116
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3306419.39%2434382.30%3
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
901899916299982797
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
1566309050.68%1438278951.56%659126052.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2055144418615891033525


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
527Buffalo Sabres2New York Islanders7BWSommaire du match
843Arizona Coyotes4New York Islanders7BWSommaire du match
1164New Jersey Devils3New York Islanders0BLSommaire du match
1267New York Islanders2Buffalo Sabres0AWSommaire du match
1590Colorado Avalanche1New York Islanders3BWSommaire du match
17107Ottawa Senators3New York Islanders4BWSommaire du match
19121New York Islanders4Columbus Blue Jackets5ALXSommaire du match
21135Detroit Red Wings4New York Islanders2BLSommaire du match
24150New York Islanders2Washington Capitals5ALSommaire du match
26167Carolina Hurricanes0New York Islanders2BWSommaire du match
29182Minnesota Wild1New York Islanders3BWSommaire du match
31193New York Islanders3Boston Bruins1AWSommaire du match
33216Washington Capitals3New York Islanders2BLSommaire du match
35227New York Islanders3Edmonton Oilers2AWSommaire du match
37241New York Islanders5Vancouver Canucks3AWSommaire du match
38248New York Islanders1Seattle Kraken5ALSommaire du match
40258New York Islanders3Calgary Flames2AWSommaire du match
44286Philadelphia Flyers4New York Islanders2BLSommaire du match
46302New York Islanders1Ottawa Senators3ALSommaire du match
47312Philadelphia Flyers0New York Islanders1BWSommaire du match
50327New York Islanders4New Jersey Devils2AWSommaire du match
52341New York Islanders1Carolina Hurricanes2ALSommaire du match
54359New York Islanders3Florida Panthers4ALSommaire du match
57383San Jose Sharks5New York Islanders1BLSommaire du match
59397Columbus Blue Jackets4New York Islanders2BLSommaire du match
61415Los Angeles Kings1New York Islanders3BWSommaire du match
63429Toronto Maple Leafs2New York Islanders3BWSommaire du match
65444Anaheim Ducks3New York Islanders2BLSommaire du match
67457Boston Bruins2New York Islanders8BWSommaire du match
68465New York Islanders4Montreal Canadiens3AWXSommaire du match
71490Edmonton Oilers2New York Islanders6BWSommaire du match
72496New York Islanders3Washington Capitals5ALSommaire du match
75517New York Islanders4Carolina Hurricanes1AWSommaire du match
79533Pittsburgh Penguins4New York Islanders2BLSommaire du match
81550Washington Capitals3New York Islanders2BLSommaire du match
83567New York Islanders5Pittsburgh Penguins3AWSommaire du match
85582New York Islanders5Colorado Avalanche1AWSommaire du match
87597New York Islanders3Arizona Coyotes2AWSommaire du match
89615New York Islanders3Vegas Golden Knights2AWSommaire du match
92628Vancouver Canucks2New York Islanders3BWSommaire du match
94646Toronto Maple Leafs4New York Islanders5BWSommaire du match
96666New York Islanders1Nashville Predators3ALSommaire du match
98676New York Islanders3Minnesota Wild2AWSommaire du match
99685New York Islanders4Winnipeg Jets3AWXXSommaire du match
102705New York Islanders6Chicago Blackhawks0AWSommaire du match
104721Dallas Stars3New York Islanders2BLXXSommaire du match
106733Vegas Golden Knights2New York Islanders5BWSommaire du match
108748New York Islanders4Montreal Canadiens3AWSommaire du match
110769Florida Panthers2New York Islanders4BWSommaire du match
119782New York Islanders3Toronto Maple Leafs2AWXSommaire du match
122798Tampa Bay Lightning4New York Islanders3BLSommaire du match
124807Calgary Flames5New York Islanders2BLSommaire du match
127829Seattle Kraken1New York Islanders2BWSommaire du match
132863New York Rangers7New York Islanders6BLXSommaire du match
134878New York Islanders0Pittsburgh Penguins2ALSommaire du match
136895New York Islanders4St. Louis Blues3AWXSommaire du match
138904Tampa Bay Lightning2New York Islanders4BWSommaire du match
140924New York Islanders2Dallas Stars3ALXXSommaire du match
143943New York Islanders6Detroit Red Wings1AWSommaire du match
145957Boston Bruins5New York Islanders3BLSommaire du match
148984St. Louis Blues3New York Islanders4BWSommaire du match
1501004New York Islanders6San Jose Sharks5AWSommaire du match
1531026New York Islanders2Anaheim Ducks1AWXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541030New York Islanders3Los Angeles Kings2AWSommaire du match
1571045New York Islanders1Buffalo Sabres2ALSommaire du match
1591060Ottawa Senators4New York Islanders0BLSommaire du match
1601073New York Islanders1New York Rangers5ALSommaire du match
1621087Carolina Hurricanes3New York Islanders4BWXSommaire du match
1641100New York Islanders6Detroit Red Wings5AWSommaire du match
1661113Winnipeg Jets2New York Islanders3BWSommaire du match
1671126New Jersey Devils5New York Islanders2BLSommaire du match
1711151New York Islanders3Florida Panthers4ALXSommaire du match
1731175New York Islanders7Tampa Bay Lightning8ALXSommaire du match
1751183New York Islanders1Philadelphia Flyers2ALSommaire du match
1761192Chicago Blackhawks1New York Islanders6BWSommaire du match
1781203New York Islanders4Columbus Blue Jackets1AWSommaire du match
1801225Nashville Predators1New York Islanders4BWSommaire du match
1831244New York Rangers1New York Islanders2BWSommaire du match
1851261Montreal Canadiens2New York Islanders4BWSommaire du match
1871270New York Islanders1New York Rangers4ALSommaire du match
1891288New York Islanders5New Jersey Devils4AWSommaire du match
1911303Pittsburgh Penguins0New York Islanders4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité63005300330040001100
Prix des billets92503019190
Assistance252,704214,340132,406164,00045,097
Attendance PCT97.83%98.64%97.86%100.00%99.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 19721 - 98.60% 1,767,041$72,448,671$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
86,963,030$ 83,999,999$ 79,427,020$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
437,500$ 82,398,447$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 459,375$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 34,653,023$ 34,653,023$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
82,398,447$ 101,553$ 82,500,000$ 21,398,447$



Charte de profondeur

Ailier gaucheCentreAilier droit
Zach HymanAGE:31PO:98OV:0
Sonny MilanoAGE:27PO:71OV:0
Mikhail Maltsev (R)AGE:25PO:59OV:0
Fredrik OlofssonAGE:27PO:53OV:0
Ryan O'ReillyAGE:32PO:47OV:0
Saku MaenalanenAGE:29PO:47OV:0
CJ SuessAGE:29PO:47OV:0
Jakob SilfverbergAGE:32PO:45OV:0
Victor OlofssonAGE:28PO:41OV:0
T.J. OshieAGE:36PO:37OV:0
Tomas NosekAGE:31PO:34OV:0
Gustav NyquistAGE:34PO:31OV:0
Kyle TurrisAGE:34PO:11OV:0
Johan LarssonAGE:31PO:11OV:0
Zach HymanAGE:31PO:98OV:0
Mitchell MarnerAGE:26PO:85OV:0
Samuel Walker (R)AGE:24PO:48OV:0
Ryan O'ReillyAGE:32PO:47OV:0
Saku MaenalanenAGE:29PO:47OV:0
Matthew Phillips (R)AGE:25PO:47OV:0
Hunter McKown (R)AGE:21PO:43OV:0
Cooper Marody (R)AGE:26PO:42OV:0
T.J. OshieAGE:36PO:37OV:0
Joseph GambardellaAGE:29PO:35OV:0
Michael SgarbossaAGE:31PO:34OV:0
Tomas NosekAGE:31PO:34OV:0
Paul StastnyAGE:37PO:31OV:0
Gustav NyquistAGE:34PO:31OV:0
TJ TynanAGE:31PO:11OV:0
Kyle TurrisAGE:34PO:11OV:0
Johan LarssonAGE:31PO:11OV:0
Joel KellmanAGE:29PO:11OV:0
Zach HymanAGE:31PO:98OV:0
Mitchell MarnerAGE:26PO:85OV:0
Sonny MilanoAGE:27PO:71OV:0
Lukas Rousek (R)AGE:24PO:48OV:0
Ryan O'ReillyAGE:32PO:47OV:0
Jakob SilfverbergAGE:32PO:45OV:0
T.J. OshieAGE:36PO:37OV:0
Brent BurnsAGE:38PO:34OV:0
Gustav NyquistAGE:34PO:31OV:0
Kyle TurrisAGE:34PO:11OV:0
Johan LarssonAGE:31PO:11OV:0

Défense #1Défense #2Gardien
Johnathan Kovacevic (R)AGE:26PO:62OV:0
Jack RathboneAGE:24PO:61OV:0
Casey Fitzgerald (R)AGE:26PO:60OV:0
Lucas Carlsson (R)AGE:26PO:58OV:0
Spencer Stastney (R)AGE:23PO:57OV:0
Will BorgenAGE:26PO:53OV:0
Erik KarlssonAGE:33PO:50OV:0
Christian WolaninAGE:28PO:50OV:0
Wyatt KalynukAGE:26PO:47OV:0
Marcus Bjork (R)AGE:25PO:42OV:0
Matt RoyAGE:28PO:41OV:0
Zach WhitecloudAGE:26PO:37OV:0
Cavan Fitzgerald (R)AGE:27PO:37OV:0
Jeff PetryAGE:35PO:35OV:0
TJ BrodieAGE:33PO:35OV:0
Brent BurnsAGE:38PO:34OV:0
Matt TennysonAGE:32PO:26OV:0
Dan HamhuisAGE:40PO:11OV:0
Sami NikuAGE:26PO:11OV:0
Jordan BinningtonAGE:30PO:99OV:0
Filip Gustavsson (R)AGE:25PO:99OV:0
Felix Sandstrom (R)AGE:26PO:99OV:0
Adam Huska (R)AGE:26PO:11OV:0

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
Alex CiernikNew York Islanders00
Alex SteevesNew York Islanders00
Alezander YakovenkoNew York Islanders00
Axel AnderssonNew York Islanders00
Beck WarmNew York Islanders00
Ben CopelandNew York Islanders00
Ben MacDonaldNew York Islanders00
Brett BrochuNew York Islanders00
Carl PerssonNew York Islanders00
Christoffer SedoffNew York Islanders00
Colby BarlowNew York Islanders00
Cole JordanNew York Islanders00
Corey SchuenemanNew York Islanders00
Daemon HuntNew York Islanders00
Dryden McKayNew York Islanders00
Ethan SamsonNew York Islanders00
Evan BarrattNew York Islanders00
Gavin BrindleyNew York Islanders00
Grant HuttonNew York Islanders00
Jacob RagnarssonNew York Islanders00
Jacob TruscottNew York Islanders00
Jakob Forsbacka KarlssonNew York Islanders00
Janne JuvonenNew York Islanders00
Jesper FrodenNew York Islanders00
Joel NystromNew York Islanders00
John NybergNew York Islanders00
Joonas OdenNew York Islanders00
Joseph WillisNew York Islanders00
Kristian TanusNew York Islanders00
Kyle MastersNew York Islanders00
Marcus DavidssonNew York Islanders00
Mattew SamoskevichNew York Islanders00
Matthew StienburgNew York Islanders00
Maxim KrovyakovNew York Islanders00
Michael McNivenNew York Islanders00
Mitchell Vande SompelNew York Islanders00
Nick SwaneyNew York Islanders00
Owen McLaughlinNew York Islanders00
Ryan ChesleyNew York Islanders00
Samuel UrbanNew York Islanders00
Santtu KinnunenNew York Islanders00
Sergey TolchinskyNew York Islanders00
Tanner DickinsonNew York Islanders00
Theo RochetteNew York Islanders00
Tyler BoucherNew York Islanders00
Tyler MuszelikNew York Islanders00
Tyler WallNew York Islanders00
Tyler WallNew York Islanders00
Tyler WeissNew York Islanders00
Veini VehvilainenNew York Islanders00
Wyatt KaiserNew York Islanders00
Yegor ZaitsevNew York Islanders00

Choix au repêchage

Année R1R2R3R4R5R6R7
21NYI NYI CHI NYI NYI NYI NYI
22NYI NYI NYI NYI NYI NYI MIN NYI
23NYI NYI NYI NYI NYI NYI NYI
24NYI NYI NYI NYI NYI NYI NYI
25NYI NYI NYI NYI NYI NYI NYI
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 ou du STHS.




New York Islanders Historique de transactions

[1/20/2024 8:39:17 PM] - TRADE : From New York Islanders to Minnesota Wild : Mason Appleton.
[1/20/2024 8:39:17 PM] - TRADE : From Minnesota Wild to New York Islanders : Y:21-RND:3-CHI, Y:22-RND:6-MIN.
[12/15/2023 8:21:29 PM] - New Record for Team's Most Shots (57) in 1 Game for New York Islanders!
[11/4/2023 9:39:00 PM] - TRADE : From New York Islanders to Nashville Predators : Lawson Crouse, Anton Forsberg, Mark Borowiecki.
[11/4/2023 9:39:00 PM] - TRADE : From Nashville Predators to New York Islanders : Matt Roy, Ryan O'Reilly.
[10/2/2023 9:29:43 PM] - Spencer Stastney has been deleted from New York Islanders.
[10/2/2023 9:29:39 PM] - Samuel Walker has been deleted from New York Islanders.
[10/2/2023 9:29:34 PM] - Marcus Bjork has been deleted from New York Islanders.
[10/2/2023 9:29:29 PM] - Lukas Rousek has been deleted from New York Islanders.
[10/2/2023 9:29:24 PM] - Jonathan Kovacevic has been deleted from New York Islanders.
[10/2/2023 9:29:18 PM] - Hunter McKown has been deleted from New York Islanders.
[10/2/2023 9:29:15 PM] - Fredrik Olofsson has been deleted from New York Islanders.
[10/2/2023 9:29:12 PM] - Felix Sandstrom has been deleted from New York Islanders.
[10/2/2023 9:21:24 PM] - Spencer Stastney was added to New York Islanders.
[10/2/2023 9:21:15 PM] - Samuel Walker was added to New York Islanders.
[10/2/2023 9:21:09 PM] - Marcus Bjork was added to New York Islanders.
[10/2/2023 9:21:01 PM] - Lukas Rousek was added to New York Islanders.
[10/2/2023 9:20:54 PM] - Johnathan Kovacevic was added to New York Islanders.
[10/2/2023 9:20:35 PM] - Hunter McKown was added to New York Islanders.
[10/2/2023 9:20:28 PM] - Fredrik Olofsson was added to New York Islanders.
[10/2/2023 9:20:16 PM] - Felix Sandstrom was added to New York Islanders.
[10/1/2023 2:13:15 PM] - Joakim Nygard was released.
[10/1/2023 2:13:15 PM] - Andrew Sturtz was released.
[10/1/2023 2:13:15 PM] - Par Lindholm was released.



[4/1/2024 6:49:48 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[3/31/2024 6:18:25 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[3/31/2024 6:17:55 PM] Lukas Rousek of New York Islanders was sent to pro.
[3/31/2024 6:17:55 PM] Will Borgen of New York Islanders was sent to pro.
[3/27/2024 7:00:32 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[3/27/2024 7:00:13 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[3/25/2024 6:34:11 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased. But, New York Islanders lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/24/2024 6:05:04 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[3/21/2024 6:58:32 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[3/21/2024 6:58:19 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[3/21/2024 6:57:17 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[3/20/2024 8:14:52 PM] Last 7 Days Pro Star : 1 - Kyle Connor of Washington Capitals (6-4-10) / 2 - Mitchell Marner of New York Islanders (4-4-8) / 3 - Gustav Nyquist of New York Islanders (4-3-7)
[3/19/2024 8:00:47 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[3/18/2024 8:43:41 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased. But, New York Islanders lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[3/18/2024 8:43:32 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:76.67.182.195 .
[3/18/2024 8:41:00 PM] Successfully loaded New York Islanders lines done with Web Base Client and SQLite Database from IP:76.67.182.195 .



Pas de blessure ou de suspension.


New York Islanders Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York Islanders Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

New York Islanders Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

New York Islanders Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York Islanders Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA