New York Islanders

GP: 58 | W: 26 | L: 29 | OTL: 3 | P: 55
GF: 174 | GA: 183 | PP%: 21.11% | PK%: 75.52%
DG: Pascal Labarre | Morale : 43 | Moyenne d'Équipe : 77
Prochain matchs #925 vs Calgary Flames
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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
1Evgeny KuznetsovXX100.00735584968491939678968885558584152840
2Mark StoneX100.00745588908888859174948682558280122810
3James van RiemsdykXX100.00675585888990869250749489558482113800
4Patrick MaroonX100.00985582849999878664817880557874157790
5Tyler BozakX100.00705585868888878892847187558180137780
6Loui ErikssonX100.00635592888982768362757380558883147750
7Tyler PitlickX100.00925562777478907859697384557270158730
8Austin WatsonX100.00925568807970717074637492557875114720
9Johan LarssonX100.00875573787679857694696487557974143720
10Michael RafflX100.00855576788180837574667375558173158720
11Matt MartinX100.00995559779885746964686570558274150700
12Ryan CarpenterX100.00745565707875797483677270557070142680
13Roman JosiX100.00825593979295989625917596558485137860
14John CarlsonX100.00755591969196949825967596558585123860
15Josh MansonX100.00945577908787849125866793558177119820
16Danny DeKeyserX100.00825586808787917925646790558280119780
17Zach BogosianX100.00735562939185877525636085558280152770
Rayé
1Eric GrybaX100.00815570719776807125626072558278153710
MOYENNE D'ÉQUIPE100.0081557884878585835776738455817813977
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
1Philipp Grubauer100.0084878789899087898689558078163850
2David Rittich100.0082818672827282858585556668156780
Rayé
MOYENNE D'ÉQUIPE100.008384878186818587868755737316082
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes72828387766184USA4335,200,000$


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'ÉquipePOS 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
1Evgeny KuznetsovNew York IslandersC/LW61282654-2220551371746013916.09%14134021.97410143721500031193147.44%87900000.8104000533
2Roman JosiNew York IslandersD559445317320609112142857.44%83140425.5431114811820111201040.00%000100.7500000213
3John CarlsonNew York IslandersD5894150-52404810810131618.91%83136923.6261521712140000182110.00%000000.7300000222
4Mark StoneNew York IslandersRW5719254436060701564911512.18%10122021.41108183820300011060150.81%18500110.7203000133
5James van RiemsdykNew York IslandersLW/RW60202343-81353066229631828.73%18125620.9348124318900061012036.76%18500000.6802001252
6Josh MansonNew York IslandersD55535404855120728322576.02%69122922.3631114441771121137100.00%000100.6500010222
7Patrick MaroonNew York IslandersRW58921301062101564113446976.72%10107718.58336371540001560052.00%7500000.5600101021
8Danny DeKeyserNew York IslandersD6252227-345579539835605.10%83131921.29156381620110171100.00%000000.4100000001
9Zach BogosianNew York IslandersD5142024716088294626288.70%5497019.0302216790000121000.00%000000.4900000121
10Loui ErikssonNew York IslandersRW58714213005449026837.78%598717.0224627153000001044.26%6100000.4300000101
11Tyler BozakNew York IslandersC4391019-160159910530648.57%175817.63347171100001373053.64%83900000.5001000200
12Tyler PitlickNew York IslandersRW5889170355112548317599.64%371712.37011464000001042.39%9200000.4700001011
13Johan LarssonNew York IslandersC5669153115417755164110.91%856910.170000100011273053.89%52700000.5300010001
14Austin WatsonNew York IslandersC585813-2027539698532725.88%1160410.4201106000130046.54%63600000.4300010010
15Eric GrybaNew York IslandersD51156-1966010517201125.00%4264012.5501104000049000.00%000000.1900000000
16Michael RafflNew York IslandersLW58415-1217535323492011.76%35048.70000080000301053.35%52300000.2000001100
17Matt MartinNew York IslandersLW61122808161116.67%07112.0000000000000050.00%1000000.5600000000
18Rocco GrimaldiSound Tigers (NYI)C/LW/RW32112-2203494311.11%12086.5300012000000038.46%1300000.1900000000
19Chris ConnerSound Tigers (NYI)RW13011-600212140.00%01007.730110100001000.00%400000.2000000000
20Ryan CarpenterNew York IslandersRW47011-112015132111100.00%13337.1000001000000039.13%2300000.0600000000
21Scott HarringtonSound Tigers (NYI)D9011480505130.00%617619.5800001300008000.00%000000.1100000000
22Patrick WierciochSound Tigers (NYI)D3000-220311000.00%54615.340000000001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1009150318468-384894510841079165852311969.05%5101690716.763985124454194613416146017749.65%405200310.55010134192221
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
1David RittichNew York Islanders187900.9073.0797721505360020.00001543110
2Philipp GrubauerNew York Islanders146620.8952.9882500413920100.5002140010
Stats d'équipe Total ou en Moyenne32131520.9023.03180221919280120.50022943120


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Austin WatsonNew York IslandersC251992-01-12No193 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm500,000$500,000$129,944$No
Danny DeKeyserNew York IslandersD261990-03-07No191 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
David RittichNew York IslandersG241992-08-18No202 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$300,000$77,966$No
Eric GrybaNew York IslandersD281988-04-14No225 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm500,000$500,000$129,944$No
Evgeny KuznetsovNew York IslandersC/LW241992-05-19No192 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
James van RiemsdykNew York IslandersLW/RW271989-05-04No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Johan LarssonNew York IslandersC241992-07-25No206 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$129,944$No
John CarlsonNew York IslandersD271990-01-10No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Josh MansonNew York IslandersD251991-10-07No217 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Loui ErikssonNew York IslandersRW311985-07-17No196 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Mark StoneNew York IslandersRW241992-05-12No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Matt MartinNew York IslandersLW271989-05-07No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Michael RafflNew York IslandersLW281988-11-30No195 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Patrick MaroonNew York IslandersRW281988-04-22No231 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Philipp GrubauerNew York IslandersG251991-11-24No184 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm3,000,000$3,000,000$779,661$No
Roman JosiNew York IslandersD261990-05-31No192 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$1,689,266$No
Ryan CarpenterNew York IslandersRW251991-01-17No180 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm500,000$500,000$129,944$No
Tyler BozakNew York IslandersC301986-03-18No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Tyler PitlickNew York IslandersRW251991-10-31No202 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$77,966$No
Zach BogosianNew York IslandersD261990-07-14No225 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2026.25203 Lbs6 ft22.102,205,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
44,100,000$36,100,000$2,300,000$500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mark StoneEvgeny KuznetsovJames van Riemsdyk41113
2Loui ErikssonTyler BozakPatrick Maroon33122
3Matt MartinMichael RafflTyler Pitlick19122
4Austin WatsonJohan LarssonRyan Carpenter7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiJosh Manson37122
2Zach BogosianJohn Carlson37122
3Danny DeKeyser15131
4Roman JosiJohn Carlson11122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mark StoneEvgeny KuznetsovJames van Riemsdyk80104
2Loui ErikssonTyler BozakPatrick Maroon20113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiJohn Carlson75113
2Josh Manson25113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Evgeny KuznetsovPatrick Maroon60131
2Johan LarssonMark Stone40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiJohn Carlson60140
2Danny DeKeyserJosh Manson40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Patrick Maroon60131John CarlsonRoman Josi60131
2Evgeny Kuznetsov40131Josh Manson40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Evgeny KuznetsovLoui Eriksson60122
2Patrick MaroonMark Stone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Josh MansonRoman Josi60122
2Zach BogosianJohn Carlson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mark StoneEvgeny KuznetsovPatrick MaroonRoman JosiJohn Carlson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeny KuznetsovMark StoneTyler BozakRoman JosiJohn Carlson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mark Stone, Evgeny Kuznetsov, Patrick MaroonTyler Pitlick, Evgeny KuznetsovEvgeny Kuznetsov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roman Josi, John Carlson, Josh MansonJohn CarlsonJohn Carlson, Roman Josi
Tirs de Pénalité
James van Riemsdyk, Evgeny Kuznetsov, Mark Stone, Loui Eriksson, Patrick Maroon
Gardien
#1 : Philipp Grubauer, #2 : David Rittich


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
LigueDomicileVisiteur
# 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 Ducks20001001660100010004311000000123-130.75061117003111561916168701735335240.00%6183.33%0948198647.73%987208947.25%43790648.23%483454152411
2Boston Bruins2110000067-1000000000002110000067-120.50061016001320632116260642424488112.50%12375.00%0948198647.73%987208947.25%43790648.23%453048152512
3Buffalo Sabres2020000068-2000000000002020000068-200.00061016002310611523230651925445120.00%10370.00%0948198647.73%987208947.25%43790648.23%453148142612
4Carolina Hurricanes412000101112-1211000005502010001067-140.50011182910424110638333261402544781218.33%19668.42%0948198647.73%987208947.25%43790648.23%966695305226
5Chicago Blackhawks2020000037-41010000014-31010000023-100.000369000210662519220631917456116.67%6350.00%0948198647.73%987208947.25%43790648.23%483445132613
6Colorado Avalanche21100000752110000006241010000013-220.5007132000124048818220622314414125.00%60100.00%0948198647.73%987208947.25%43790648.23%453047142612
7Columbus Blue Jackets2020000028-61010000012-11010000016-500.0002460001104392113064211051300.00%5180.00%0948198647.73%987208947.25%43790648.23%453149132411
8Dallas Stars211000008801010000056-11100000032120.500814220052105826181408224214510330.00%8187.50%0948198647.73%987208947.25%43790648.23%453051142311
9Detroit Red Wings21001000844110000003031000100054141.00081523012231521314223581818489444.44%9188.89%0948198647.73%987208947.25%43790648.23%453251142311
10Edmonton Oilers1010000023-11010000023-10000000000000.00024600101021939036712134125.00%6266.67%0948198647.73%987208947.25%43790648.23%2316237126
11Florida Panthers21100000862110000004131010000045-120.50081321004130371113130652032526233.33%11281.82%0948198647.73%987208947.25%43790648.23%412653142512
12Los Angeles Kings22000000945110000005231100000042241.0009182700441077352220039118406350.00%4250.00%0948198647.73%987208947.25%43790648.23%513742132513
13Minnesota Wild11000000312110000003120000000000021.00036900201035108170288428400.00%20100.00%0948198647.73%987208947.25%43790648.23%2215258126
14Montreal Canadiens1010000025-31010000025-30000000000000.00024600020038151310029818336233.33%7185.71%0948198647.73%987208947.25%43790648.23%2719206126
15Nashville Predators2010001089-11010000035-21000001054120.50081321002412561817186801220464125.00%7528.57%1948198647.73%987208947.25%43790648.23%493350152411
16New Jersey Devils4110110015132210010008442010010079-250.6251527420084211104730294140454310319210.53%19763.16%0948198647.73%987208947.25%43790648.23%946499294924
17New York Rangers42101000151142110000056-121001000105560.750152944113561136443654213531357412433.33%13376.92%0948198647.73%987208947.25%43790648.23%997094285026
18Ottawa Senators1010000024-21010000024-20000000000000.00024600200036614160269823400.00%40100.00%0948198647.73%987208947.25%43790648.23%2417226126
19Philadelphia Flyers11000000312000000000001100000031221.00036900111027791104068273133.33%40100.00%0948198647.73%987208947.25%43790648.23%2013276115
20Phoenix Coyotes1010000025-3000000000001010000025-300.00024600110022371203712614300.00%3166.67%0948198647.73%987208947.25%43790648.23%2720216115
21Pittsburgh Penguins40400000614-82020000037-42020000037-400.0006121810303010332224901384555851417.14%24770.83%0948198647.73%987208947.25%43790648.23%895898315125
22San Jose Sharks21001000743100010003211100000042241.00071118002221651127225421223517228.57%8275.00%0948198647.73%987208947.25%43790648.23%503445142713
23St. Louis Blues220000001165110000004221100000074341.000112132006140582418160671920349444.44%10190.00%0948198647.73%987208947.25%43790648.23%493445142512
24Tampa Bay Lightning3030000037-42020000024-21010000013-200.000369001110943730270751826681119.09%11281.82%0948198647.73%987208947.25%43790648.23%755469213518
25Toronto Maple Leafs11000000422000000000001100000042221.0004711001120401791401846237114.29%30100.00%0948198647.73%987208947.25%43790648.23%3324166106
Total58192905122174183-92911150300083830298140212291100-9550.474174318492426851488167354351459137183950758712881994221.11%2415975.52%1948198647.73%987208947.25%43790648.23%13929601389422731365
27Vancouver Canucks1010000024-21010000024-20000000000000.00024600110029413120184222200.00%110.00%0948198647.73%987208947.25%43790648.23%2618196147
28Vegas Golden Knights21100000880110000005321010000035-220.50081523104310561815230551425456233.33%9277.78%0948198647.73%987208947.25%43790648.23%453149152511
29Washington Capitals2010000149-51010000026-41000000123-110.2504812002110561717223742218548112.50%9188.89%0948198647.73%987208947.25%43790648.23%473251152512
30Winnipeg Jets11000000321110000003210000000000021.000358002100244137029101020200.00%5180.00%0948198647.73%987208947.25%43790648.23%2415217136
_Since Last GM Reset58192905122174183-92911150300083830298140212291100-9550.474174318492426851488167354351459137183950758712881994221.11%2415975.52%1948198647.73%987208947.25%43790648.23%13929601389422731365
_Vs Conference359200311195111-1616510010003744-719410021115867-9280.4009517326832342730410023293003611811313153708111272217.32%1603776.88%0948198647.73%987208947.25%43790648.23%833573846256438220
_Vs Division21511021115668-121036010002430-61125011113238-6180.4295610416031211418358119416821015731195213472711014.08%932573.12%0948198647.73%987208947.25%43790648.23%494337516156266132

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5855L317431849216731839507587128842
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5819295122174183
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29111530008383
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29814212291100
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1994221.11%2415975.52%1
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
543514591376851488
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
948198647.73%987208947.25%43790648.23%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13929601389422731365


Derniers Match 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
2 - 2018-09-066New York Islanders5Carolina Hurricanes4WXXSommaire du Match
4 - 2018-09-0824Nashville Predators5New York Islanders3LSommaire du Match
6 - 2018-09-1035San Jose Sharks2New York Islanders3WXSommaire du Match
10 - 2018-09-1465New York Islanders5Nashville Predators4WXXSommaire du Match
14 - 2018-09-1886New York Islanders2Anaheim Ducks3LXXSommaire du Match
15 - 2018-09-1993New York Islanders4Los Angeles Kings2WSommaire du Match
17 - 2018-09-21110New York Islanders4San Jose Sharks2WSommaire du Match
21 - 2018-09-25131Florida Panthers1New York Islanders4WSommaire du Match
24 - 2018-09-28155New York Islanders3Philadelphia Flyers1WSommaire du Match
25 - 2018-09-29160New York Islanders1Carolina Hurricanes3LSommaire du Match
27 - 2018-10-01175New York Islanders1Pittsburgh Penguins3LSommaire du Match
29 - 2018-10-03186Pittsburgh Penguins3New York Islanders1LSommaire du Match
31 - 2018-10-05201New Jersey Devils2New York Islanders3WXSommaire du Match
33 - 2018-10-07212Montreal Canadiens5New York Islanders2LSommaire du Match
36 - 2018-10-10235New York Islanders1Tampa Bay Lightning3LSommaire du Match
38 - 2018-10-12247New York Islanders4Florida Panthers5LSommaire du Match
41 - 2018-10-15270Vancouver Canucks4New York Islanders2LSommaire du Match
43 - 2018-10-17281New York Rangers3New York Islanders4WSommaire du Match
46 - 2018-10-20307Dallas Stars6New York Islanders5LSommaire du Match
49 - 2018-10-23328New York Islanders6New York Rangers5WXSommaire du Match
50 - 2018-10-24340New York Islanders2New Jersey Devils3LSommaire du Match
51 - 2018-10-25352Carolina Hurricanes2New York Islanders0LSommaire du Match
53 - 2018-10-27364Washington Capitals6New York Islanders2LSommaire du Match
56 - 2018-10-30382New York Islanders4Boston Bruins3WSommaire du Match
58 - 2018-11-01403Columbus Blue Jackets2New York Islanders1LSommaire du Match
61 - 2018-11-04422Winnipeg Jets2New York Islanders3WSommaire du Match
63 - 2018-11-06435New York Islanders2Pittsburgh Penguins4LSommaire du Match
65 - 2018-11-08449New York Islanders5Detroit Red Wings4WXSommaire du Match
67 - 2018-11-10462Pittsburgh Penguins4New York Islanders2LSommaire du Match
69 - 2018-11-12478Vegas Golden Knights3New York Islanders5WSommaire du Match
72 - 2018-11-15501Detroit Red Wings0New York Islanders3WSommaire du Match
74 - 2018-11-17513New York Islanders1Colorado Avalanche3LSommaire du Match
75 - 2018-11-18517New York Islanders2Phoenix Coyotes5LSommaire du Match
77 - 2018-11-20541New York Islanders3Vegas Golden Knights5LSommaire du Match
80 - 2018-11-23561New York Islanders3Dallas Stars2WSommaire du Match
82 - 2018-11-25582Ottawa Senators4New York Islanders2LSommaire du Match
83 - 2018-11-26596New York Islanders4Toronto Maple Leafs2WSommaire du Match
85 - 2018-11-28600New York Islanders3Buffalo Sabres4LSommaire du Match
88 - 2018-12-01625Chicago Blackhawks4New York Islanders1LSommaire du Match
90 - 2018-12-03643New York Islanders7St. Louis Blues4WSommaire du Match
93 - 2018-12-06660Carolina Hurricanes3New York Islanders5WSommaire du Match
95 - 2018-12-08677New York Islanders4New York Rangers0WSommaire du Match
97 - 2018-12-10695New York Rangers3New York Islanders1LSommaire du Match
98 - 2018-12-11702Tampa Bay Lightning1New York Islanders0LSommaire du Match
100 - 2018-12-13717St. Louis Blues2New York Islanders4WSommaire du Match
102 - 2018-12-15730New Jersey Devils2New York Islanders5WSommaire du Match
103 - 2018-12-16739New York Islanders2Washington Capitals3LXXSommaire du Match
105 - 2018-12-18753Anaheim Ducks3New York Islanders4WXSommaire du Match
107 - 2018-12-20761New York Islanders2Chicago Blackhawks3LSommaire du Match
113 - 2018-12-26786Tampa Bay Lightning3New York Islanders2LSommaire du Match
114 - 2018-12-27795Los Angeles Kings2New York Islanders5WSommaire du Match
117 - 2018-12-30809New York Islanders2Boston Bruins4LSommaire du Match
119 - 2019-01-01831New York Islanders5New Jersey Devils6LXSommaire du Match
121 - 2019-01-03844Colorado Avalanche2New York Islanders6WSommaire du Match
122 - 2019-01-04858Minnesota Wild1New York Islanders3WSommaire du Match
124 - 2019-01-06864New York Islanders3Buffalo Sabres4LSommaire du Match
126 - 2019-01-08878New York Islanders1Columbus Blue Jackets6LSommaire du Match
128 - 2019-01-10897Edmonton Oilers3New York Islanders2LSommaire du Match
132 - 2019-01-14925New York Islanders-Calgary Flames-
133 - 2019-01-15930New York Islanders-Edmonton Oilers-
135 - 2019-01-17955New York Islanders-Vancouver Canucks-
138 - 2019-01-20973Calgary Flames-New York Islanders-
140 - 2019-01-22988Toronto Maple Leafs-New York Islanders-
141 - 2019-01-23995Washington Capitals-New York Islanders-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251013Philadelphia Flyers-New York Islanders-
145 - 2019-01-271026Ottawa Senators-New York Islanders-
147 - 2019-01-291040New York Islanders-Ottawa Senators-
149 - 2019-01-311055Philadelphia Flyers-New York Islanders-
151 - 2019-02-021069Columbus Blue Jackets-New York Islanders-
154 - 2019-02-051088Montreal Canadiens-New York Islanders-
156 - 2019-02-071102New York Islanders-Detroit Red Wings-
157 - 2019-02-081115New York Islanders-Minnesota Wild-
159 - 2019-02-101128Boston Bruins-New York Islanders-
161 - 2019-02-121143New York Islanders-Montreal Canadiens-
163 - 2019-02-141158New York Islanders-Philadelphia Flyers-
164 - 2019-02-151166Phoenix Coyotes-New York Islanders-
166 - 2019-02-171179New York Islanders-Columbus Blue Jackets-
168 - 2019-02-191196New York Islanders-Winnipeg Jets-
170 - 2019-02-211209Buffalo Sabres-New York Islanders-
172 - 2019-02-231225Toronto Maple Leafs-New York Islanders-
175 - 2019-02-261246New York Islanders-Florida Panthers-
177 - 2019-02-281271New York Islanders-Washington Capitals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance167,592139,07254,853109,95927,438
Attendance PCT96.32%95.91%94.57%94.79%94.61%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
12 17204 - 95.58% 1,077,212$31,239,139$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
38,677,340$ 44,100,000$ 24,169,999$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
44,100,000$ 34,623,656$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
12,926,540$ 46 278,531$ 12,812,426$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
13,368,716$ 44,100,000$ 55,436,175$ 54,993,999$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Evgeny KuznetsovAGE:24PO:1OV:84
James van RiemsdykAGE:27PO:1OV:80
Michael RafflAGE:28PO:1OV:72
Matt MartinAGE:27PO:1OV:70
Cody McLeodAGE:32PO:1OV:65
Markus HannikainenAGE:23PO:1OV:60
Rocco GrimaldiAGE:23PO:1OV:60
David BrollAGE:24PO:1OV:59
*Radel FazleevAGE:21PO:1OV:56
Turner ElsonAGE:24PO:1OV:55
Harry ZolnierczykAGE:29PO:1OV:53
Max FribergAGE:24PO:1OV:52
Jordan Samuels-ThomasAGE:26PO:1OV:52
Evgeny KuznetsovAGE:24PO:1OV:84
Tyler BozakAGE:30PO:1OV:78
Austin WatsonAGE:25PO:1OV:72
Johan LarssonAGE:24PO:1OV:72
*Matthew HighmoreAGE:20PO:1OV:61
Andrew PoturalskiAGE:22PO:1OV:60
Rocco GrimaldiAGE:23PO:1OV:60
Daniel CiampiniAGE:26PO:1OV:57
Ryan RupertAGE:22PO:1OV:55
Mark StoneAGE:24PO:1OV:81
James van RiemsdykAGE:27PO:1OV:80
Patrick MaroonAGE:28PO:1OV:79
Loui ErikssonAGE:31PO:1OV:75
Tyler PitlickAGE:25PO:1OV:73
Ryan CarpenterAGE:25PO:1OV:68
*Spencer FooAGE:23PO:1OV:61
Chris ConnerAGE:33PO:1OV:61
Rocco GrimaldiAGE:23PO:1OV:60
Branden TroockAGE:22PO:1OV:55
Andrew DesjardinsAGE:30PO:1OV:55

Défense #1Défense #2Gardien
Roman JosiAGE:26PO:1OV:86
John CarlsonAGE:27PO:1OV:86
Josh MansonAGE:25PO:1OV:82
Danny DeKeyserAGE:26PO:1OV:78
Zach BogosianAGE:26PO:1OV:77
Eric GrybaAGE:28PO:1OV:71
Scott HarringtonAGE:23PO:1OV:66
Patrick WierciochAGE:26PO:1OV:64
Aaron NessAGE:26PO:1OV:61
Joel HanleyAGE:25PO:1OV:55
Ryan StantonAGE:27PO:1OV:55
*Evan McEnenyAGE:22PO:1OV:54
*Nelson NogierAGE:20PO:1OV:54
Andrew O'BrienAGE:24PO:1OV:54
Philipp GrubauerAGE:25PO:1OV:85
David RittichAGE:24PO:1OV:78
Harri SateriAGE:27PO:1OV:67
Dustin TokarskiAGE:27PO:1OV:63
Matthew O'ConnorAGE:24PO:1OV:63
*Mason McDonaldAGE:26PO:1OV:53

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Arnaud DurandeauNew York Islanders13177
Cedric PareNew York Islanders13185
Jake McGrewNew York Islanders13151
Maxim LetunovNew York Islanders1054

Choix au Repêchage

Année R1R2R3R4R5R6
14Cal Ana Min Buf Tor
15Nas Col New MTL Min
16NYI MTL Chi NYI NYI
17NYI NYI NYI NYI NYI
18NYI NYI NYI Min NYI NYI



[2019-02-14 16:39:03] - TRADE : From New York Islanders to Minnesota Wild : Trevor Daley (79).
[2019-02-14 16:39:03] - TRADE : From Minnesota Wild to New York Islanders : Y:18-RND:4-Min.
[2019-02-10 10:46:23] - TRADE : From New York Islanders to Chicago Blackhawks : Zemgus Girgensons (73), Brian Dumoulin (81).
[2019-02-10 10:46:23] - TRADE : From Chicago Blackhawks to New York Islanders : Austin Watson (72), Zach Bogosian (77), Matthew Highmore (61), Y:16-RND:2-Chi, Y:15-RND:4-MTL.
[2019-02-03 22:07:15] - TRADE : From New York Islanders to Boston Bruins : Ryan Spooner (76), Y:14-RND:5-Phi.
[2019-02-03 22:07:15] - TRADE : From Boston Bruins to New York Islanders : Matt Martin (70), Rocco Grimaldi (60).
[2019-01-22 14:22:36] - TRADE : From New York Islanders to Anaheim Ducks : Michael Dal Colle (61).
[2019-01-22 14:22:36] - TRADE : From Anaheim Ducks to New York Islanders : Y:14-RND:2-Ana.
[2019-01-14 15:43:09] - TRADE : From New York Islanders to Boston Bruins : Blake Comeau (77), Jamie Benn (86), Noel Acciari (65).
[2019-01-14 15:43:09] - TRADE : From Boston Bruins to New York Islanders : Mark Stone (81), Ryan Spooner (76).
[2019-01-14 15:42:29] - TRADE : From New York Islanders to Vegas Golden Knights : Samy Blais (59), Travis Boyd (60), Antoine Bibeau (65), Gavin Bayreuther (54).
[2019-01-14 15:42:29] - TRADE : From Vegas Golden Knights to New York Islanders : Danny DeKeyser (78), Philipp Grubauer (84).
[2019-01-14 15:41:35] - TRADE : From New York Islanders to Montreal Canadiens : Henrik Lundqvist (86).
[2019-01-14 15:41:35] - TRADE : From Montreal Canadiens to New York Islanders : Y:16-RND:2-MTL, Y:15-RND:4-New, Y:14-RND:6-Buf.
[2019-01-12 11:29:24] - TRADE : From New York Islanders to Nashville Predators : Tyler Toffoli (78), Y:16-RND:2-NYI.
[2019-01-12 11:29:05] - TRADE : From New York Islanders to Nashville Predators : Esa Lindell (82), Kyle Palmieri (80).
[2019-01-12 11:29:05] - TRADE : From Nashville Predators to New York Islanders : John Carlson (86), Evgeny Kuznetsov (84).
[2018-12-27 19:35:52] - TRADE : From New York Islanders to Nashville Predators : Oliver Ekman-Larsson (87), Y:14-RND:5-Van.
[2018-12-27 19:35:52] - TRADE : From Nashville Predators to New York Islanders : Josh Manson (82), James van Riemsdyk (80), Y:15-RND:3-Col.
[2018-11-21 22:29:00] - TRADE : From Phoenix Coyotes to New York Islanders : Dustin Tokarski (64).
[2018-11-21 22:29:00] - TRADE : From New York Islanders to Phoenix Coyotes : Cam Ward (77).
[2018-09-29 10:49:54] - Team Name Change : Bridgeport Sound Tigers changed name to Sound Tigers
[2018-09-14 09:55:46] - TRADE : From Minnesota Wild to New York Islanders : Y:15-RND:5-Min, Y:14-RND:6-Min.
[2018-09-14 09:55:46] - TRADE : From New York Islanders to Minnesota Wild : Patrick Sharp.
[2018-09-14 09:54:32] - TRADE : From New York Islanders to Detroit Red Wings : Y:15-RND:1-STL, Y:16-RND:3-Clb.
[2018-09-14 09:54:32] - TRADE : From Detroit Red Wings to New York Islanders : Henrik Lundqvist.
[2018-09-12 14:31:01] - TRADE : From Dallas Stars to New York Islanders : Michael Dal Colle.
[2018-09-12 14:31:01] - TRADE : From New York Islanders to Dallas Stars : Y:17-RND:2-NYI.
[2018-09-08 14:26:17] - TRADE : From Toronto Maple Leafs to New York Islanders : Blake Comeau.
[2018-09-08 14:26:17] - TRADE : From New York Islanders to Toronto Maple Leafs : Y:18-RND:2-NYI.
[2018-09-05 22:32:43] - TRADE : From New York Islanders to Calgary Flames : Ivan Barbashev, Morgan Frost (P), Y:15-RND:2-NYI.
[2018-09-05 22:32:43] - TRADE : From Calgary Flames to New York Islanders : Kyle Palmieri.
[2018-09-05 16:06:19] - TRADE : From New York Islanders to Dallas Stars : Logan Shaw.
[2018-09-05 16:06:19] - TRADE : From Dallas Stars to New York Islanders : Y:14-RND:6-Tor.
[2018-09-03 12:38:13] - TRADE : From New York Islanders to Philadelphie Flyers : Corey Perry, Sven Andrighetto.
[2018-09-03 12:38:13] - TRADE : From Philadelphie Flyers to New York Islanders : Loui Eriksson, Y:15-RND:1-Nas.
[2018-08-28 16:15:32] - Spencer Foo was added to New York Islanders.



[2019-02-14 16:39:03] TRADE : From New York Islanders to Minnesota Wild : Trevor Daley (79).
[2019-02-14 16:39:03] TRADE : From Minnesota Wild to New York Islanders : Y:18-RND:4-Min.
[2019-02-13 09:49:12] Auto Lines Partial Function has been run for Sound Tigers.
[2019-02-13 09:49:12] Auto Roster Farm Only Function has been run for New York Islanders.
[2019-02-12 08:55:51] Auto Lines Partial Function has been run for New York Islanders.
[2019-02-10 10:46:23] TRADE : From New York Islanders to Chicago Blackhawks : Zemgus Girgensons (73), Brian Dumoulin (81).
[2019-02-10 10:46:23] TRADE : From Chicago Blackhawks to New York Islanders : Austin Watson (72), Zach Bogosian (77), Matthew Highmore (61), Y:16-RND:2-Chi, Y:15-RND:4-MTL.
[2019-02-10 10:42:59] Successfully loaded New York Islanders lines done with STHS Client - 3.1.5.5
[2019-02-09 10:19:30] Philipp Grubauer from New York Islanders is back from Exhaustion.
[2019-02-08 10:29:07] Philipp Grubauer from New York Islanders injured (Exhaustion)
[2019-02-06 09:12:53] Auto Lines Partial Function has been run for Sound Tigers.
[2019-02-05 09:01:43] Auto Lines Partial Function has been run for New York Islanders.
[2019-02-05 09:01:43] Auto Roster Partial Function has been run for New York Islanders.
[2019-02-04 09:33:09] Tyler Bozak from New York Islanders is back from Sprained Left Knee Injury.
[2019-02-03 22:07:15] TRADE : From New York Islanders to Boston Bruins : Ryan Spooner (76), Y:14-RND:5-Phi.
[2019-02-03 22:07:15] TRADE : From Boston Bruins to New York Islanders : Matt Martin (70), Rocco Grimaldi (60).
[2019-02-01 08:51:47] Auto Lines Partial Function has been run for New York Islanders.
[2019-02-01 08:51:47] Auto Roster Partial Function has been run for New York Islanders.
[2019-01-30 09:36:04] James van Riemsdyk from New York Islanders is back from Right Knee Injury.
[2019-01-29 10:10:37] Game 795 - Tyler Bozak from New York Islanders is injured (Sprained Left Knee) and is out for 1 week.
[2019-01-29 10:10:06] Auto Lines Partial Function has been run for New York Islanders.
[2019-01-29 10:10:06] Auto Roster Partial Function has been run for New York Islanders.
[2019-01-28 18:06:47] Game 786 - James van Riemsdyk from New York Islanders is injured (Right Knee) and is out for 5 days.
[2019-01-24 17:30:48] Auto Lines Partial Function has been run for Sound Tigers.
[2019-01-22 14:22:36] TRADE : From New York Islanders to Anaheim Ducks : Michael Dal Colle (61).
[2019-01-22 14:22:36] TRADE : From Anaheim Ducks to New York Islanders : Y:14-RND:2-Ana.
[2019-01-21 11:37:36] Last 7 Days Pro Star : 1 - Nazem Kadri of Edmonton Oilers (6-4-10) / 2 - Mikko Koivu of Calgary Flames (6-5-11) / 3 - James van Riemsdyk of New York Islanders (4-2-6)
[2019-01-16 14:28:02] Auto Lines Partial Function has been run for Sound Tigers.
[2019-01-16 14:27:59] Successfully loaded New York Islanders lines done with STHS Client - 3.1.5.5



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
1358192905122174183-92911150300083830298140212291100-955174318492426851488167354351459137183950758712881994221.11%2415975.52%1948198647.73%987208947.25%43790648.23%13929601389422731365
Total Saison Régulière58192905122174183-92911150300083830298140212291100-955174318492426851488167354351459137183950758712881994221.11%2415975.52%1948198647.73%987208947.25%43790648.23%13929601389422731365