Please rotate your device to landscape mode for a better experience.
Connexion

Islanders
GP: 5 | W: 1 | L: 4
GF: 21 | GA: 32 | PP%: 25.00% | PK%: 65.00%
DG: Trevor Robb | Morale : 45 | Moyenne d’équipe : 61

Centre de jeu
Stars
5-2-0, 10pts
7
4 Islanders
1-4-0, 2pts
Team Stats
W1SéquenceOTL1
3-2-0Fiche domicile0-2-0
2-0-0Fiche domicile1-2-0
5-1-1Derniers 10 matchs1-3-1
5.57Buts par match 4.20
4.00Buts contre par match 6.40
36.00%Pourcentage en avantage numérique25.00%
76.92%Pourcentage en désavantage numérique65.00%
Islanders
1-4-0, 2pts
6
7 Stars
5-2-0, 10pts
Team Stats
OTL1SéquenceW1
0-2-0Fiche domicile3-2-0
1-2-0Fiche domicile2-0-0
1-3-1Derniers 10 matchs5-1-1
4.20Buts par match 5.57
6.40Buts contre par match 4.00
25.00%Pourcentage en avantage numérique36.00%
65.00%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
Buts
Alex Limoges
4
Passes
Pierrick Dube
5
Points
Pierrick Dube
6
Plus/Moins
Alex Limoges
4
Victoires
Nikita Tolopilo
1
Pourcentage d’arrêts
Clay Stevenson
0.852

Statistiques d’équipe
Buts pour
21
4.20 GFG
Tirs pour
144
28.80 Avg
Pourcentage en avantage numérique
25.0%
2 GF
Début de zone offensive
27.5%
Buts contre
32
6.40 GAA
Tirs contre
201
40.20 Avg
Pourcentage en désavantage numérique
65.0%%
7 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralTrevor Robb
EntraîneurRick Kowalsky
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,882
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 100
Espoirs77


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
1Beck MalenstynX100.009256888278579364546162762564656377670283850,000$
2Arttu Hyry (R)X100.008579937380828766506268676247476580660253850,000$
3Joona KoppanenX100.0099489984826583635553617725484864806602832,755,500$
4Sam Poulin (R)X100.008482827383768064506065666148486479650253850,000$
5Mitchell StephensX100.0075439379735379628362596925616261686402922,225,000$
6Matt Rempe (R)XXX100.009399578499527760296158652553536180640241820,000$
7Joey AndersonXX100.0070439971746267615656558125646461796302832,755,500$
8Alex LimogesX100.0080749568746869638061636560474763786302811,173,000$
9Marc McLaughlin (R)X100.0087459977735365624757666625494964796202621,359,000$
10Walker DuehrXX100.0086469980785262592954586225585860806102811,212,000$
11Pierrick DubeX100.0072658169667376635060636060474760806102521,255,000$
12Kyle McDonaldX100.0078788164795962505043536250454556655502421,355,000$
13Egor ZamulaX100.006542976876708067255750772563625876670263850,000$
14Jordan OesterleX100.007042977067716463255453772572735970660343850,000$
15Daniil MiromanovX100.006442917578726262255448732558585775650283850,000$
16Grant HuttonX100.007644906879626161255246752549495765630303850,000$
17Jordan HarrisX100.006942947267575562255148722563635668620253850,000$
18Lleyton Moore (R)X100.007161986463434347253840573946464845530241800,000$
Rayé
1Blake McLaughlinXXX100.007565996265393654685746624444445519530261925,000$
2Vincent SevignyX100.007173688174333240252739553745454619520251750,000$
MOYENNE D’ÉQUIPE100.00785890737560676044545568365454596862
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
1Nikita Tolopilo (R)100.00525265945155535855563045455477570262850,000$
2Clay Stevenson (R)100.00495164814750515550513044445121530272850,000$
Rayé
1Nikke Kokko (R)100.006251647564636871666330464659756202231,200,000$
MOYENNE D’ÉQUIPE100.0054516483545657615757304545555857
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Kowalsky42423945424238CAN444795,000$


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
1Pierrick DubeIslanders (NYI)RW51561406380512.50%36112.37000000000000100.00%210001.9400000000
2Sam PoulinIslanders (NYI)RW5235-210016397722.22%19719.5901105000070042.86%712001.0200000000
3Matt RempeIslanders (NYI)C/LW/RW5235-560149113318.18%08817.7200024000010043.48%6931001.1300000000
4Jordan OesterleIslanders (NYI)D514522061694211.11%1315831.7800006000015100%0311000.6300000010
5Joona KoppanenIslanders (NYI)LW5145-3001212146137.14%512224.4201116000050045.86%13342000.8200000001
6Arttu HyryIslanders (NYI)RW5134-675811174105.88%510521.04000150000160043.33%3034000.7600100000
7Marc McLaughlinIslanders (NYI)C522400099164712.50%27314.6500001000050041.38%2922001.0900000000
8Jordan HarrisIslanders (NYI)D5044300688520%1013627.3100006000017000%004000.5900000000
9Beck MalenstynIslanders (NYI)LW5224-195145157213.33%49418.9501115000190157.14%755000.8400010100
10Alex LimogesIslanders (NYI)C54044005380050.00%1367.2200000000000062.07%2901002.2200000010
11Joey AndersonIslanders (NYI)LW/RW53031206786337.50%18216.5010125000080066.67%311000.7300000001
12Daniil MiromanovIslanders (NYI)D5022-8404155630%1414529.1600005000011000%039000.2700000000
13Egor ZamulaIslanders (NYI)D5022-800696070%711122.310000500002000%003000.3600000000
14Walker DuehrIslanders (NYI)C/RW5101-3006670314.29%28116.35000000000000100.00%112000.2400000000
15Will CuylleIslandersLW/RW2101-4605321650.00%24020.2110112000130050.00%430000.4900000000
16Mitchell StephensIslanders (NYI)C4000000000000%031.00000000000000100.00%20000000000000
17Lleyton MooreIslanders (NYI)D5000-100011000%1397.8300001000012000%00000000000000
18Grant HuttonIslanders (NYI)D5000000010000%0183.640000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne86213455-305010123121144537314.58%71149817.4323586300021171147.47%3163048000.7300110122
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
1Nikita TolopiloIslanders (NYI)51010.8097.00180002111063000041000
2Nikke KokkoIslanders (NYI)10000.9333.24370023013000010000
3Clay StevensonIslanders (NYI)30300.8526.21870096133000004000
Statistiques d’équipe totales ou en moyenne91310.8416.30305003220110900055000


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex LimogesIslanders (NYI)C281997-09-16USANo201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,173,000$418,929$0$0$No---------------------------Lien
Arttu HyryIslanders (NYI)RW252001-04-06FINYes214 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Beck MalenstynIslanders (NYI)LW281998-02-04CANNo209 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Blake McLaughlinIslanders (NYI)C/LW/RW262000-02-14USANo179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$330,357$0$0$No---------------------------Lien
Clay StevensonIslanders (NYI)G271999-03-03CANYes195 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$303,571$0$0$No850,000$--------850,000$--------No--------Lien
Daniil MiromanovIslanders (NYI)D281997-07-11RUSNo207 Lbs6 ft4NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Egor ZamulaIslanders (NYI)D262000-03-30RUSNo200 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Grant HuttonIslanders (NYI)D301995-07-25USANo210 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Joey AndersonIslanders (NYI)LW/RW281998-06-19USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,755,500$984,107$0$0$No2,755,500$2,755,500$-------2,755,500$2,755,500$-------NoNo-------Lien / Lien NHL
Joona KoppanenIslanders (NYI)LW281998-02-25FINNo215 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,755,500$984,107$0$0$No2,755,500$2,755,500$-------2,755,500$2,755,500$-------NoNo-------Lien / Lien NHL
Jordan HarrisIslanders (NYI)D252000-07-07USANo187 Lbs5 ft11NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Jordan OesterleIslanders (NYI)D341992-06-25USANo181 Lbs6 ft0NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Kyle McDonaldIslanders (NYI)RW242002-02-05CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,355,000$483,929$0$0$No1,355,000$--------1,355,000$--------No--------Lien
Lleyton MooreIslanders (NYI)D242002-02-27SKWYes179 Lbs5 ft8NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm800,000$285,714$0$0$No---------------------------Lien
Marc McLaughlinIslanders (NYI)C261999-07-26USAYes202 Lbs6 ft0NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,359,000$485,357$0$0$No1,359,000$--------1,359,000$--------No--------Lien
Matt RempeIslanders (NYI)C/LW/RW242002-06-29CANYes255 Lbs6 ft9NoNoTrade2025-10-15NoNo1FalseFalsePro & Farm820,000$292,857$0$0$No---------------------------Lien
Mitchell StephensIslanders (NYI)C291997-02-05CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm2,225,000$794,643$0$0$No2,225,000$--------2,225,000$--------No--------Lien / Lien NHL
Nikita TolopiloIslanders (NYI)G262000-04-06BLRYes229 Lbs6 ft6NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$303,571$0$0$No850,000$--------850,000$--------No--------Lien
Nikke KokkoIslanders (NYI)G222004-03-14FINYes184 Lbs6 ft3NoNoFree AgentNoNo32025-12-09FalseFalsePro & Farm1,200,000$428,571$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Pierrick DubeIslanders (NYI)RW252001-01-07FRANo185 Lbs5 ft9NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,255,000$448,214$0$0$No1,255,000$--------1,255,000$--------No--------Lien
Sam PoulinIslanders (NYI)RW252001-02-25CANYes227 Lbs6 ft2NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$303,571$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Vincent SevignyIslanders (NYI)D252001-04-14QUENo194 Lbs6 ft3NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm750,000$267,857$0$0$No---------------------------Lien
Walker DuehrIslanders (NYI)C/RW281997-11-23USANo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,212,000$432,857$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.57203 Lbs6 ft22.221,177,609$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam PoulinJoona KoppanenArttu Hyry40032
2Beck MalenstynMatt RempeWalker Duehr30032
3Joona KoppanenAlex LimogesSam Poulin20032
4Joey AndersonMarc McLaughlinPierrick Dube10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJordan Harris40041
2Daniil MiromanovEgor Zamula30041
3Daniil MiromanovJordan Oesterle20041
4Daniil MiromanovJordan Oesterle10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt RempeJoona KoppanenArttu Hyry60005
2Beck MalenstynJoey AndersonSam Poulin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJordan Harris60122
2Daniil MiromanovEgor Zamula40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arttu HyrySam Poulin60122
2Joona KoppanenBeck Malenstyn40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJordan Harris60122
2Daniil MiromanovLleyton Moore40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Arttu Hyry60122Lleyton MooreJordan Oesterle60122
2Beck Malenstyn40122Daniil MiromanovJordan Harris40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arttu HyryJoona Koppanen60122
2Sam PoulinBeck Malenstyn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisJordan Oesterle60122
2Daniil MiromanovEgor Zamula40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joona KoppanenBeck MalenstynArttu HyryDaniil MiromanovJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joona KoppanenBeck MalenstynArttu HyryDaniil MiromanovJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Beck Malenstyn, Sam Poulin, Joey AndersonBeck Malenstyn, Sam PoulinBeck Malenstyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Harris, Jordan Oesterle, Daniil MiromanovDaniil MiromanovJordan Oesterle, Daniil Miromanov
Tirs de pénalité
Joey Anderson, Beck Malenstyn, Arttu Hyry, Joona Koppanen, Sam Poulin
Gardien
#1 : Nikita Tolopilo, #2 : Clay Stevenson


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
1Stars514000002132-1120200000817-9312000001315-220.2002134550015141144404849720171501238225.00%20765.00%0438749.43%5712246.72%5010746.73%9042117519847
Total514000002132-1120200000817-9312000001315-220.2002134550015141144404849720171501238225.00%20765.00%0438749.43%5712246.72%5010746.73%9042117519847
_Since Last GM Reset514000002132-1120200000817-9312000001315-220.2002134550015141144404849720171501238225.00%20765.00%0438749.43%5712246.72%5010746.73%9042117519847
_Vs Conference514000002132-1120200000817-9312000001315-220.2002134550015141144404849720171501238225.00%20765.00%0438749.43%5712246.72%5010746.73%9042117519847

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52OTL1213455144201715012300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400002132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000817
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001315
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8225.00%20765.00%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
404849715141
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
438749.43%5712246.72%5010746.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9042117519847


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
25Islanders3Stars2WXSommaire du match
413Islanders4Stars6LSommaire du match
621Stars10Islanders4LSommaire du match
829Stars7Islanders4LSommaire du match
1037Islanders6Stars7LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance4,0001,764
Assistance PCT100.00%88.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2882 - 96.07% 109,113$218,226$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,708,500$ 2,708,500$ 795,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$




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