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Islanders
GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 18 | GA: 12 | PP%: 25.00% | PK%: 71.43%
DG: Simon Godin | Morale : 54 | Moyenne d’équipe : 63
Prochains matchs #68 vs Bears

Centre de jeu
Islanders
4-1-0, 8pts
3
1 Phantoms
1-2-0, 2pts
Team Stats
W4SéquenceL2
2-0-0Fiche domicile1-2-0
2-1-0Fiche domicile0-0-0
4-1-0Derniers 10 matchs1-2-0
3.60Buts par match 3.00
2.40Buts contre par match 4.00
25.00%Pourcentage en avantage numérique50.00%
71.43%Pourcentage en désavantage numérique75.00%
Bears
2-2-0, 4pts
1
5 Islanders
4-1-0, 8pts
Team Stats
L2SéquenceW4
1-0-0Fiche domicile2-0-0
1-2-0Fiche domicile2-1-0
2-2-0Derniers 10 matchs4-1-0
2.50Buts par match 3.60
2.50Buts contre par match 2.40
28.57%Pourcentage en avantage numérique25.00%
100.00%Pourcentage en désavantage numérique71.43%
Islanders
4-1-0, 8pts
2025-08-31
Bears
2-2-0, 4pts
Statistiques d’équipe
W4SéquenceL2
2-0-0Fiche domicile1-0-0
2-1-0Fiche visiteur1-2-0
4-1-010 derniers matchs2-2-0
3.60Buts par match 2.50
2.40Buts contre par match 2.50
25.00%Pourcentage en avantage numérique28.57%
71.43%Pourcentage en désavantage numérique100.00%
Marlies
2-1-1, 5pts
2025-09-02
Islanders
4-1-0, 8pts
Statistiques d’équipe
W2SéquenceW4
1-1-1Fiche domicile2-0-0
1-0-0Fiche visiteur2-1-0
2-1-110 derniers matchs4-1-0
2.50Buts par match 3.60
2.50Buts contre par match 3.60
37.50%Pourcentage en avantage numérique25.00%
88.89%Pourcentage en désavantage numérique71.43%
BruinsF
2-2-0, 4pts
2025-09-05
Islanders
4-1-0, 8pts
Statistiques d’équipe
L2SéquenceW4
1-1-0Fiche domicile2-0-0
1-1-0Fiche visiteur2-1-0
2-2-010 derniers matchs4-1-0
2.50Buts par match 3.60
3.25Buts contre par match 3.60
11.11%Pourcentage en avantage numérique25.00%
88.89%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Buts
Joel Kiviranta
3
Passes
Joel Kiviranta
4
Points
Joel Kiviranta
7
Plus/Moins
Brady Lyle
5
Victoires
Kevin Lankinen
4
Pourcentage d’arrêts
Kevin Lankinen
0.906

Statistiques d’équipe
Buts pour
18
3.60 GFG
Tirs pour
154
30.80 Avg
Pourcentage en avantage numérique
25.0%
4 GF
Début de zone offensive
43.3%
Buts contre
12
2.40 GAA
Tirs contre
128
25.60 Avg
Pourcentage en désavantage numérique
71.4%%
2 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralSimon Godin
EntraîneurDave Allison
DivisionDivision Atlantique
ConférenceConference 1
CapitaineJon Merrill
Assistant #1Joel Kiviranta
Assistant #2Mikhail Maltsev


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 56
Espoirs20


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
1Mikhail Maltsev (A)0XX100.0063458776757484746870757065635558556702821,350,000$
2Joel Kiviranta (A)0XX100.0072468974677487696168687060705350556503021,200,000$
3Dmitri Jaskin93XX100.0061439668757272706168696768725430556503321,200,000$
4Nicholas Merkley0XX100.006552897369788270637265686265545855650291900,000$
5Adam Musil0XXX98.0071468172736677747966697857625254526502921,000,000$
6Landon Slaggert0XX100.006849848069727771626967736653467055640242900,000$
7Joel Teasdale0XX100.0061459272717676677069726265565158556402731,000,000$
8Chase Wouters0X100.007145797369707273737068765951496255640261750,000$
9Shane Bowers0X100.0073458772697675657566657554564958556402731,000,000$
10Tanner Richard0XX100.006952886970666969646465736068513055630331950,000$
11Alexander Nylander0XXX100.005845897273757370766665696561505055630281900,000$
12Ryan Suzuki (R)0XXX100.006648827171707069727165706348517055630253750,000$
13Jon Merrill (C)15X100.0060459771747180704567647162886126556603421,000,000$
14Dakota Mermis0X100.0065458172727471724570697367544734556503221,000,000$
15Zach Metsa (R)0X100.006345917468697974456967726150454055640271900,000$
16Semyon Chystyakov (R)0X100.006647847171707070456869736645487055640253750,000$
17Michal Kempny0X100.0060459770716870694566666964705622556403521,000,000$
18Brady Lyle0X100.007253787273757567456663685856485855630272800,000$
Rayé
1Ben Meyers0X100.0069459377697075695966676859564754456302711,100,000$
2Alexander Khokhlachev0XXX100.006045927071697470706968726759473445630321900,000$
3Anton Lander0X100.006045997070686468606465686367522245620352700,000$
4Daniel Carr0XX100.005744996970716668596567706557482645620341800,000$
5Linus Weissbach0XX100.006745777264696867606764696152495645610281700,000$
6Nick Campoli0X100.006345807269707062706559665645456045600272750,000$
7Dominik Bokk (R)0XX100.006448796968707064586464666151566045600263750,000$
8Christian Folin0X100.005945986972676568456462706070532245630352800,000$
9Robbie Russo0X100.006045996971747268456567686249453045630331900,000$
10Tyler Wotherspoon0X100.006145966976676669456565696349463045620332700,000$
11Chris Martenet0X100.006950857376686467456260675946454645620291600,000$
MOYENNE D’ÉQUIPE99.93654689727171736959676670625850465163
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
1Kevin Lankinen099.007989877880768379808379706938566703121,350,000$
2Marek Langhamer0100.00798380787874807576787945503856620323800,000$
Rayé
1Connor Hughes0100.00706968847165696768696945504648560292650,000$
MOYENNE D’ÉQUIPE99.6776807880767277747577765356415362
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Allison99858086999928CAN662100,000$


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
1Joel KivirantaIslanders (NYI)LW/RW5347000641651218.75%09218.42033013000000042.86%700001.5200000101
2Chase WoutersIslanders (NYI)C5145300111511779.09%29418.93011313000061056.25%11200001.0600000100
3Jon MerrillIslanders (NYI)D52353005452340.00%710821.7921341300006100%000000.9200000100
4Mikhail MaltsevIslanders (NYI)LW/RW504400063167150%19018.0101141100000000%200000.8900000000
5Dmitri JaskinIslanders (NYI)LW/RW5314000131531020.00%07815.6001131400000120%200001.0300000100
6Adam MusilIslanders (NYI)C/LW/RW5224020591161318.18%29218.41202513000000154.17%12000000.8700000010
7Landon SlaggertIslanders (NYI)LW/RW5213320371441214.29%08116.2900001000041040.00%500000.7400000010
8Brady LyleIslanders (NYI)D51235203061416.67%48216.580000200001000%000000.7200000001
9Ryan SuzukiIslanders (NYI)C/LW/RW5033020382290%06412.8100000000000053.95%7600000.9400000000
10Semyon ChystyakovIslanders (NYI)D512330010390411.11%310821.6600041200005000%000000.5500000010
11Joel TeasdaleIslanders (NYI)LW/RW511230043621516.67%08817.68000013000000050.00%400000.4500000001
12Dakota MermisIslanders (NYI)D5022-4201146070%1010721.5601131200004000%000000.3700000000
13Alexander NylanderIslanders (NYI)C/LW/RW5022100038250%0469.32000020000300100.00%500000.8600000000
14Tanner RichardIslanders (NYI)LW/RW51011203170314.29%2479.5600001000050025.00%400000.4200000000
15Shane BowersIslanders (NYI)C50111005410170%2489.6400000000060049.12%5700000.4100000000
16Zach MetsaIslanders (NYI)D5101-4005454220.00%210320.7700011200000000%000000.1900000000
17Michal KempnyIslanders (NYI)D5011500111120%58717.560000200006000%000000.2300000000
18Nicholas MerkleyIslanders (NYI)LW/RW50110206162120%26412.8100000000000033.33%600000.3100000000
Statistiques d’équipe totales ou en moyenne901834522014088771544914211.69%42148716.524812271410000514353.00%40000000.7000000433
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
1Kevin LankinenIslanders (NYI)54100.9062.4030000121280000050010
Statistiques d’équipe totales ou en moyenne54100.9062.403000012128000050010


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam MusilIslanders (NYI)C/LW/RW291997-03-26CANNo203 Lbs6 ft5NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Alexander KhokhlachevIslanders (NYI)C/LW/RW321993-09-09RUSNo196 Lbs5 ft10NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Alexander NylanderIslanders (NYI)C/LW/RW281998-03-02CANNo205 Lbs6 ft1NoNoFree Agent2024-04-29NoNo12025-07-06FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Anton LanderIslanders (NYI)C351991-04-24SWENo191 Lbs5 ft11NoNoFree AgentNoNo22026-07-22FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Ben MeyersIslanders (NYI)LW271998-11-15USANo194 Lbs5 ft11NoNoFree AgentNoNo12025-06-12FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Brady LyleIslanders (NYI)D271999-06-06CANNo211 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Chase WoutersIslanders (NYI)C262000-02-08CANNo182 Lbs6 ft0NoNoProspectNoNo12024-07-28FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Chris MartenetIslanders (NYI)D291996-09-25USANo216 Lbs6 ft7NoNoFree AgentNoNo12026-04-29FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Christian FolinIslanders (NYI)D351991-02-09SWENo187 Lbs6 ft2NoNoFree Agent2025-09-27NoNo22026-07-15FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Connor HughesIslanders (NYI)G291996-09-10CANNo231 Lbs6 ft4NoNoFree Agent2026-02-13NoNo22026-07-13FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Dakota MermisIslanders (NYI)D321994-01-05USANo197 Lbs6 ft0NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Daniel CarrIslanders (NYI)LW/RW341991-11-01CANNo186 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Dmitri JaskinIslanders (NYI)LW/RW331993-03-23RUSNo224 Lbs6 ft3NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Dominik BokkIslanders (NYI)LW/RW262000-02-03GERYes181 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Joel KivirantaIslanders (NYI)LW/RW301996-03-26FINNo175 Lbs5 ft10NoNoN/ANoNo22025-06-12FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Joel TeasdaleIslanders (NYI)LW/RW271999-03-11CANNo212 Lbs6 ft0NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Jon MerrillIslanders (NYI)D341992-02-03USANo204 Lbs6 ft3NoNoFree AgentNoNo22026-07-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Kevin LankinenIslanders (NYI)G311995-03-28FINNo190 Lbs6 ft2NoNoFree Agent2026-02-13NoNo22026-07-03FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Landon SlaggertIslanders (NYI)LW/RW242002-06-25USANo180 Lbs6 ft0NoNoProspectNoNo22025-08-05FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Linus WeissbachIslanders (NYI)LW/RW281998-04-19SWENo161 Lbs5 ft8NoNoN/ANoNo12025-06-12FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Marek LanghamerIslanders (NYI)G321994-07-22CZENo194 Lbs6 ft2NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Michal KempnyIslanders (NYI)D351990-09-08CZENo190 Lbs6 ft1NoNoFree AgentNoNo22026-07-08FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Mikhail MaltsevIslanders (NYI)LW/RW281998-03-12RUSNo198 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Nicholas MerkleyIslanders (NYI)LW/RW291997-05-23CANNo179 Lbs5 ft10NoNoTrade2026-04-23NoNo12026-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nick CampoliIslanders (NYI)C271999-02-16CANNo190 Lbs5 ft11NoNoTrade2025-10-06NoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Robbie RussoIslanders (NYI)D331993-02-15USANo195 Lbs6 ft0NoNoFree AgentNoNo12025-07-21FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ryan SuzukiIslanders (NYI)C/LW/RW252001-05-28CANYes196 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Semyon ChystyakovIslanders (NYI)D252001-08-07RUSYes198 Lbs5 ft11NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Shane BowersIslanders (NYI)C271999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Tanner RichardIslanders (NYI)LW/RW331993-04-06CANNo192 Lbs6 ft0NoNoFree AgentNoNo12025-07-21FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Tyler WotherspoonIslanders (NYI)D331993-03-12CANNo222 Lbs6 ft2NoNoFree AgentNoNo22026-07-22FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Zach MetsaIslanders (NYI)D271998-10-19USAYes198 Lbs5 ft9NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3229.69196 Lbs6 ft11.84901,563$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail MaltsevAdam MusilJoel Kiviranta32023
2Landon SlaggertChase WoutersJoel Teasdale30023
3Nicholas MerkleyRyan SuzukiDmitri Jaskin25122
4Tanner RichardShane BowersAlexander Nylander13122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach MetsaDakota Mermis35032
2Semyon ChystyakovJon Merrill35032
3Brady LyleMichal Kempny20122
4Brady LyleMichal Kempny10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail MaltsevChase WoutersJoel Teasdale50005
2Joel KivirantaAdam MusilDmitri Jaskin50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach MetsaDakota Mermis50014
2Semyon ChystyakovJon Merrill50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Shane BowersLandon Slaggert50140
2Chase WoutersTanner Richard50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal KempnyJon Merrill50140
2Semyon ChystyakovDakota Mermis50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Shane Bowers50050Michal KempnyJon Merrill50050
2Adam Musil50050Semyon ChystyakovDakota Mermis50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane BowersNicholas Merkley50122
2Ryan SuzukiLandon Slaggert50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleMichal Kempny50122
2Semyon ChystyakovJon Merrill50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail MaltsevAdam MusilJoel TeasdaleZach MetsaDakota Mermis
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaShane BowersLandon SlaggertMichal KempnyJon Merrill
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Shane Bowers, Ryan Suzuki, Dmitri JaskinLandon Slaggert, Alexander NylanderAlexander Nylander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michal Kempny, Semyon Chystyakov, Brady LyleBrady LyleBrady Lyle, Zach Metsa
Tirs de pénalité
Dmitri Jaskin, Mikhail Maltsev, Landon Slaggert, Joel Teasdale, Alexander Nylander
Gardien
#1 : Kevin Lankinen, #2 : Marek Langhamer


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
1Bears21100000660110000005141010000015-420.500612180095406164484204810638300.00%3166.67%09117352.60%7815350.98%437458.11%12586111356332
2Firebirds11000000633110000006330000000000021.0006111700954036644842026152195120.00%10100.00%09117352.60%7815350.98%437458.11%12586111356332
3Marlies11000000321000000000001100000032121.00036900954032644842028104113266.67%2150.00%09117352.60%7815350.98%437458.11%12586111356332
4Phantoms11000000312000000000001100000031221.0003580095402564484202672205120.00%10100.00%09117352.60%7815350.98%437458.11%12586111356332
Total54100000181262200000011473210000078-180.800183452009540154644842012842148816425.00%7271.43%09117352.60%7815350.98%437458.11%12586111356332
_Since Last GM Reset54100000181262200000011473210000078-180.800183452009540154644842012842148816425.00%7271.43%09117352.60%7815350.98%437458.11%12586111356332
_Vs Conference54100000181262200000011473210000078-180.800183452009540154644842012842148816425.00%7271.43%09117352.60%7815350.98%437458.11%12586111356332
_Vs Division12000000321010000000001100000032142.00036900954032644842028104113266.67%2150.00%09117352.60%7815350.98%437458.11%12586111356332

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58W418345215412842148800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
54100001812
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321000078
Derniers 10 matchs
WLOTWOTL SOWSOL
410000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16425.00%7271.43%0
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
64484209540
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
9117352.60%7815350.98%437458.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12586111356332


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
1 - 2025-08-242Islanders1Bears5LSommaire du match
2 - 2025-08-2519Islanders3Marlies2WSommaire du match
5 - 2025-08-2837Firebirds3Islanders6WSommaire du match
6 - 2025-08-2944Islanders3Phantoms1WSommaire du match
7 - 2025-08-3060Bears1Islanders5WSommaire du match
8 - 2025-08-3168Islanders-Bears-
10 - 2025-09-0281Marlies-Islanders-
13 - 2025-09-05105BruinsF-Islanders-
16 - 2025-09-08130PenguinsF-Islanders-
18 - 2025-09-10142Islanders-Wolves-
20 - 2025-09-12159Bears-Islanders-
23 - 2025-09-15175Islanders-Wolf Pack-
25 - 2025-09-17191Crunch-Islanders-
27 - 2025-09-19207Islanders-Comets-
29 - 2025-09-21224Moose-Islanders-
31 - 2025-09-23239Islanders-Marlies-
33 - 2025-09-25252Islanders-Americans-
35 - 2025-09-27267Americans-Islanders-
37 - 2025-09-29277Islanders-SenatorsF-
39 - 2025-10-01295StarsF-Islanders-
41 - 2025-10-03305Islanders-Crunch-
44 - 2025-10-06327Islanders-Comets-
45 - 2025-10-07335Moose-Islanders-
49 - 2025-10-11360Iowa Wild-Islanders-
51 - 2025-10-13379Islanders-Condors-
53 - 2025-10-15392Phantoms-Islanders-
55 - 2025-10-17411Islanders-Bears-
57 - 2025-10-19424Silver Knights-Islanders-
59 - 2025-10-21441Islanders-Reign-
61 - 2025-10-23451Islanders-Phantoms-
62 - 2025-10-24460Americans-Islanders-
65 - 2025-10-27483Islanders-Thunderbirds-
67 - 2025-10-29494Admirals-Islanders-
69 - 2025-10-31515Islanders-Bears-
70 - 2025-11-01524Marlies-Islanders-
73 - 2025-11-04542Islanders-Marlies-
75 - 2025-11-06557Roadrunners-Islanders-
77 - 2025-11-08575Islanders-SenatorsF-
79 - 2025-11-10589Admirals-Islanders-
81 - 2025-11-12609Islanders-Gulls-
82 - 2025-11-13618PenguinsF-Islanders-
85 - 2025-11-16637Islanders-Checkers-
86 - 2025-11-17645Islanders-Wolves-
88 - 2025-11-19656BruinsF-Islanders-
92 - 2025-11-23682Islanders-Phantoms-
93 - 2025-11-24689Condors-Islanders-
96 - 2025-11-27714Checkers-Islanders-
98 - 2025-11-29729Islanders-Icehogs-
100 - 2025-12-01744Islanders-Wolf Pack-
102 - 2025-12-03751Checkers-Islanders-
105 - 2025-12-06778Wranglers-Islanders-
107 - 2025-12-08790Islanders-PenguinsF-
109 - 2025-12-10807Islanders-Americans-
110 - 2025-12-11815Firebirds-Islanders-
114 - 2025-12-15842Rocket-Islanders-
117 - 2025-12-18866Islanders-Wolves-
119 - 2025-12-20876Firebirds-Islanders-
121 - 2025-12-22899Griffins-Islanders-
123 - 2025-12-24914Islanders-Checkers-
126 - 2025-12-27933Rocket-Islanders-
128 - 2025-12-29948Islanders-Crunch-
130 - 2025-12-31965Crunch-Islanders-
132 - 2026-01-02977Islanders-Monsters-
135 - 2026-01-05998SenatorsF-Islanders-
137 - 2026-01-071014Islanders-Firebirds-
140 - 2026-01-101032Wolf Pack-Islanders-
143 - 2026-01-131055Canucks-Islanders-
145 - 2026-01-151071Islanders-Moose-
147 - 2026-01-171082Islanders-Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-191097Comets-Islanders-
151 - 2026-01-211115Islanders-PenguinsF-
153 - 2026-01-231130SenatorsF-Islanders-
155 - 2026-01-251143Islanders-Firebirds-
157 - 2026-01-271158Wolf Pack-Islanders-
161 - 2026-01-311184Barracuda-Islanders-
163 - 2026-02-021198Islanders-Moose-
166 - 2026-02-051217Islanders-BruinsF-
168 - 2026-02-071228Phantoms-Islanders-
171 - 2026-02-101248Islanders-Rocket-
172 - 2026-02-111256Islanders-BruinsF-
174 - 2026-02-131269Wolves-Islanders-
176 - 2026-02-151286Islanders-Rocket-
177 - 2026-02-161299Comets-Islanders-
182 - 2026-02-211326Wolves-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 3000 - 100.00% 178,800$357,600$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
113,561$ 2,885,000$ 2,885,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 109,753$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,152,000$ 177 16,223$ 2,871,471$




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

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

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

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

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