Connexion

Islanders
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Trevor Robb | Morale : 50 | Moyenne d’équipe : 59
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralTrevor Robb
EntraîneurRick Kowalsky
DivisionDivision 5
ConférenceConference 2
CapitaineBlake McLaughlin
Assistant #1
Assistant #2Bryce Kindopp


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro19
Équipe Mineure14
Limite contact 33 / 100
Espoirs65


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mitchell StephensX100.0062419673705386688059647325606060866402822,225,000$
2Alex LimogesXX100.0080749164757578678064696662484863866402711,173,000$
3Walker DuehrX100.0083459574765172673064616625555561796302711,212,000$
4Pierrick Dube (R)X100.0067617869647173655060705964484760866202421,255,000$
5Kyle McDonald (R)X100.0082788867816365605053646559484759866102321,355,000$
6Matt Rempe (R)XX100.009499277589436759465455532548485619570231820,000$
7Bryce Kindopp (A)X100.007671906571646848504349594647475278550261911,000$
8Blake McLaughlin (C)X100.007064856266505144504243574247474881510251925,000$
9Brady LyleX100.0075747666756265522542476244484750805902611,072,000$
10Mattias NorlinderX100.007368846770697546253840593847464979580241800,000$
11Jacob Murray (R)X100.007876886979505341252938613747474571560231800,000$
12Vincent Sevigny (R)X100.007673866775576146253639593846464867560241750,000$
13Lleyton Moore (R)X100.006558866460505050253650564847465173530231800,000$
Rayé
1Marc McLaughlinX100.0080748972757683526346556248484854865902600$
2Antti Saarela (R)XXX100.0074689365695455496340536051464654265402400$
3Nick Cicek (R)X100.0076766667786975512542456239494848756002500$
MOYENNE D’ÉQUIPE100.00766982687360675445475361434948547258
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Clay Stevenson100.00634759816672757581753047476490680262850,000$
2Nikita Tolopilo100.00604759956569616870663045456087640252850,000$
3Tomas Suchanek (R)100.00594759656466586468663044446156590222850,000$
Rayé
MOYENNE D’ÉQUIPE100.0061475980656965697369304545627864
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Kowalsky40404040404040CAN444795,000$


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
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


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)C/LW271997-09-16USANo201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,173,000$1,173,000$0$0$No---------------------------Lien
Antti SaarelaIslanders (NYI)C/LW/RW242001-06-27FINYes190 Lbs5 ft10NoNoTrade2025-01-31NoNo0FalseFalsePro & Farm0$0$No---------------------------
Blake McLaughlinIslanders (NYI)LW252000-02-14USANo173 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien
Brady LyleIslanders (NYI)D261999-06-06ONTNo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,072,000$1,072,000$0$0$No---------------------------Lien
Bryce KindoppIslanders (NYI)RW261999-06-14ABNo191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm911,000$911,000$0$0$No---------------------------Lien
Clay StevensonIslanders (NYI)G261999-03-03BCNo195 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien
Jacob MurrayIslanders (NYI)D232002-04-11ONTYes201 Lbs6 ft3NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien
Kyle McDonaldIslanders (NYI)RW232002-02-05ONTYes207 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,355,000$1,355,000$0$0$No1,355,000$--------1,355,000$--------No--------Lien
Lleyton MooreIslanders (NYI)D232002-02-27SKWYes168 Lbs5 ft8NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien
Marc McLaughlinIslanders (NYI)C261999-07-26USANo205 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Matt RempeIslandersC/RW232002-06-29ABYes205 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm820,000$820,000$0$0$No---------------------------
Mattias NorlinderIslanders (NYI)D242000-12-04SWENo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien
Mitchell StephensIslanders (NYI)C281997-02-05ONTNo194 Lbs5 ft11NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm2,225,000$2,225,000$0$0$No2,225,000$--------2,225,000$--------No--------Lien / Lien NHL
Nick CicekIslanders (NYI)D252000-05-29MANYes201 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Nikita TolopiloIslanders (NYI)G252000-04-06BELNo230 Lbs6 ft6NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien
Pierrick DubeIslanders (NYI)RW242001-01-07FRAYes172 Lbs5 ft9NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,255,000$1,255,000$0$0$No1,255,000$--------1,255,000$--------No--------Lien
Tomas SuchanekIslanders (NYI)G222003-04-30CZEYes180 Lbs6 ft0NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien
Vincent SevignyIslanders (NYI)D242001-04-14QUEYes194 Lbs6 ft3NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Walker DuehrIslanders (NYI)RW271997-11-23USANo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,212,000$1,212,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1924.79195 Lbs6 ft11.16876,211$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140032
2Alex LimogesMitchell StephensPierrick Dube30032
3Kyle McDonald20032
4Bryce Kindopp10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWard40041
230041
3Vincent Sevigny20041
4Cole McWard10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160005
2Alex LimogesMitchell StephensPierrick Dube40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWard60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mitchell StephensAlex Limoges40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWard60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Cole McWard60122
2Mitchell Stephens4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mitchell StephensAlex Limoges40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWard60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole McWard
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole McWard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Pierrick Dube, Kyle McDonald, Pierrick Dube
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Vincent Sevigny, , Vincent Sevigny
Tirs de pénalité
, , Alex Limoges, Mitchell Stephens,
Gardien
#1 : , #2 : Nikita Tolopilo


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
46 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,662,800$ 1,662,800$ 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$ 0 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