Connexion

Islanders
GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 27 | GA: 14 | PP%: 16.67% | PK%: 76.47%
DG: Trevor Robb | Morale : 53 | Moyenne d’équipe : 61
Prochains matchs #80 vs Gulls
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Centre de jeu
Islanders
4-1-0, 8pts
8
FINAL
3 Bears
1-3-1, 3pts
Team Stats
L1SéquenceOTL1
1-1-0Fiche domicile0-2-0
3-0-0Fiche domicile1-1-1
4-1-0Derniers 10 matchs1-3-1
5.40Buts par match 2.00
2.80Buts contre par match 4.60
16.67%Pourcentage en avantage numérique36.84%
76.47%Pourcentage en désavantage numérique100.00%
Reign
2-2-0, 4pts
5
FINAL
4 Islanders
4-1-0, 8pts
Team Stats
W1SéquenceL1
0-2-0Fiche domicile1-1-0
2-0-0Fiche domicile3-0-0
2-2-0Derniers 10 matchs4-1-0
4.50Buts par match 5.40
4.25Buts contre par match 2.80
16.67%Pourcentage en avantage numérique16.67%
66.67%Pourcentage en désavantage numérique76.47%
Islanders
4-1-0, 8pts
Jour 7
Gulls
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceL2
1-1-0Fiche domicile1-1-0
3-0-0Fiche visiteur1-1-0
4-1-010 derniers matchs2-2-0
5.40Buts par match 2.25
2.80Buts contre par match 2.25
16.67%Pourcentage en avantage numérique30.00%
76.47%Pourcentage en désavantage numérique75.00%
Griffins
2-2-0, 4pts
Jour 9
Islanders
4-1-0, 8pts
Statistiques d’équipe
L1SéquenceL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur3-0-0
2-2-010 derniers matchs4-1-0
2.75Buts par match 5.40
2.25Buts contre par match 5.40
16.67%Pourcentage en avantage numérique16.67%
86.67%Pourcentage en désavantage numérique76.47%
Islanders
4-1-0, 8pts
Jour 10
Thunderbirds
1-2-1, 3pts
Statistiques d’équipe
L1SéquenceOTL1
1-1-0Fiche domicile1-1-1
3-0-0Fiche visiteur0-1-0
4-1-010 derniers matchs1-2-1
5.40Buts par match 2.50
2.80Buts contre par match 2.50
16.67%Pourcentage en avantage numérique12.50%
76.47%Pourcentage en désavantage numérique86.96%
Meneurs d'équipe
Buts
Arttu Hyry
8
Mitchell StephensPasses
Mitchell Stephens
10
Mitchell StephensPoints
Mitchell Stephens
12
Plus/Moins
Daniil Miromanov
8
Victoires
Nikita Tolopilo
2
Pourcentage d’arrêts
Nikita Tolopilo
0.892

Statistiques d’équipe
Buts pour
27
5.40 GFG
Tirs pour
182
36.40 Avg
Pourcentage en avantage numérique
16.7%
3 GF
Début de zone offensive
40.7%
Buts contre
14
2.80 GAA
Tirs contre
160
32.00 Avg
Pourcentage en désavantage numérique
76.5%%
4 GA
Début de la zone défensive
34.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,743
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 MalenstynX98.009056888278579361545858782561626655660273850,000$
2Arttu Hyry (R)X100.008379937279828765505966696244446861650243850,000$
3Joona KoppanenX100.0099489984826583625550598025464667526502732,755,500$
4Sam Poulin (R)X100.008282827282768064506064686145456755640243850,000$
5Matt Rempe (R)XXX100.009399578298527761306158672550516456640231820,000$
6Joey AndersonXX100.0069439971746267625656558325616164566302732,755,500$
7Mitchell StephensX98.0073439279735379608259577125596063586302822,225,000$
8Alex LimogesX100.0080749468746869648062646760454566546302811,173,000$
9Marc McLaughlin (R)X100.0085459977735365624757666825464667556202621,359,000$
10Walker DuehrXX100.0085469980785262592954586325555563576102811,212,000$
11Pierrick DubeX100.0070658068657376645060646260454563566102421,255,000$
12Kyle McDonaldX100.0079788163785962505043536250444456555502321,355,000$
13Blake McLaughlin (C)XXX100.007565996265393654685746624444445555530251925,000$
14Egor ZamulaX98.006342966876708065255449762560606157660253850,000$
15Jordan OesterleX100.006942967067716461255251762569706253650333850,000$
16Daniil MiromanovX100.006342917578726261255249732555556054640283850,000$
17Grant HuttonX100.007544906879626160255247762546466054630303850,000$
18Jordan HarrisX100.006942937267575561255048732560605953620253850,000$
19Lleyton Moore (R)X100.007261976261434348253941593944445155530231800,000$
Rayé
1Vincent SevignyX100.007173678073333241252839563744444745520241750,000$
MOYENNE D’ÉQUIPE99.70775890737560675944535569365151615562
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
1Dan Vladar100.006660608773596966666577575865576602832,755,500$
2Nikita Tolopilo (R)99.00525265945156545857563045445459580252850,000$
Rayé
1Clay Stevenson (R)100.00495164814750515551513044445150530262850,000$
MOYENNE D’ÉQUIPE99.6756546387575558605857464949575559
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
1Mitchell StephensIslanders (NYI)C52101274015101941410.53%310621.370332150001100054.73%14853002.2500000210
2Arttu HyryIslanders (NYI)RW5831170053225436.36%59619.25303415000001257.14%735012.2900000121
3Beck MalenstynIslanders (NYI)LW544861005162361217.39%410921.99011115000391038.71%3172001.4600000001
4Matt RempeIslanders (NYI)C/LW/RW53143401251181027.27%16012.0200000000010033.33%942001.3300000000
5Grant HuttonIslanders (NYI)D5044740586120%410220.5200021100007000%002000.7800000001
6Joey AndersonIslanders (NYI)LW/RW51233003388312.50%0489.65000000000500100.00%230001.2400000000
7Sam PoulinIslanders (NYI)RW512314010614577.14%28316.6600009000050066.67%643000.7200000000
8Daniil MiromanovIslanders (NYI)D512382051161316.67%510020.0400011100007000%015000.6000000000
9Egor ZamulaIslanders (NYI)D52133004584425.00%1514028.10000217000014000%027000.4311000010
10Alex LimogesIslanders (NYI)C52132553664833.33%28416.95000012000021051.79%5614000.7100010000
11Pierrick DubeIslanders (NYI)RW50334009673110%16312.7800013000020050.00%1221000.9400000000
12Jordan HarrisIslanders (NYI)D5022320251210%36012.160000000001000%004000.6600000000
13Walker DuehrIslanders (NYI)C/RW52022004391622.22%4336.6600000000001037.50%821001.2000000100
14Joona KoppanenIslanders (NYI)LW511210041117495.88%18817.66000013000120033.33%340000.4500000000
15Marc McLaughlinIslanders (NYI)C50113007610380%15210.5300000000040060.00%2040000.3800000000
16Kyle McDonaldIslanders (NYI)RW5011100014000%0132.700000000000000%000001.4800000000
17Jordan OesterleIslanders (NYI)D5011420988750%813827.66000117000013000%055000.1400000000
18Lleyton MooreIslanders (NYI)D5000300532310%15811.630000000000000%01100000000000
19Blake McLaughlinIslanders (NYI)C/LW/RW5000200401000%1316.310000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne95273966703751111161826910814.84%61147315.51347141420005904251.99%3024845010.9011010443
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)32100.8923.001800098350100031000
2Dan VladarIslanders (NYI)22000.9352.501200057745000023000
Statistiques d’équipe totales ou en moyenne54100.9132.8030000141609510054000


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$1,110,161$0$0$No---------------------------Lien
Arttu HyryIslanders (NYI)RW242001-04-06FINYes214 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Beck MalenstynIslanders (NYI)LW271998-02-04CANNo209 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Blake McLaughlinIslanders (NYI)C/LW/RW252000-02-14USANo179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$875,446$0$0$No---------------------------Lien
Clay StevensonIslanders (NYI)G261999-03-03CANYes195 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$804,464$0$0$No850,000$--------850,000$--------No--------Lien
Dan VladarIslanders (NYI)G281997-08-20CZENo209 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,755,500$2,607,884$0$0$No2,755,500$2,755,500$-------2,755,500$2,755,500$-------NoNo-------Lien
Daniil MiromanovIslanders (NYI)D281997-07-11RUSNo207 Lbs6 ft4NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Egor ZamulaIslanders (NYI)D252000-03-30RUSNo200 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$804,464$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$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Joey AndersonIslanders (NYI)LW/RW271998-06-19USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,755,500$2,607,884$0$0$No2,755,500$2,755,500$-------2,755,500$2,755,500$-------NoNo-------Lien / Lien NHL
Joona KoppanenIslanders (NYI)LW271998-02-25FINNo215 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,755,500$2,607,884$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$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Jordan OesterleIslanders (NYI)D331992-06-25USANo181 Lbs6 ft0NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Kyle McDonaldIslanders (NYI)RW232002-02-05CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,355,000$1,282,411$0$0$No1,355,000$--------1,355,000$--------No--------Lien
Lleyton MooreIslanders (NYI)D232002-02-27SKWYes179 Lbs5 ft8NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm800,000$757,143$0$0$No---------------------------Lien
Marc McLaughlinIslanders (NYI)C261999-07-26USAYes202 Lbs6 ft0NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,359,000$1,286,196$0$0$No1,359,000$--------1,359,000$--------No--------Lien
Matt RempeIslanders (NYI)C/LW/RW232002-06-29CANYes255 Lbs6 ft9NoNoTrade2025-10-15NoNo1FalseFalsePro & Farm820,000$776,071$0$0$No---------------------------Lien
Mitchell StephensIslanders (NYI)C281997-02-05CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm2,225,000$2,105,804$0$0$No2,225,000$--------2,225,000$--------No--------Lien / Lien NHL
Nikita TolopiloIslanders (NYI)G252000-04-06BLRYes229 Lbs6 ft6NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$804,464$0$0$No850,000$--------850,000$--------No--------Lien
Pierrick DubeIslanders (NYI)RW242001-01-07FRANo185 Lbs5 ft9NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,255,000$1,187,768$0$0$No1,255,000$--------1,255,000$--------No--------Lien
Sam PoulinIslanders (NYI)RW242001-02-25CANYes227 Lbs6 ft2NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$804,464$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Vincent SevignyIslanders (NYI)D242001-04-14QUENo194 Lbs6 ft3NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm750,000$709,821$0$0$No---------------------------Lien
Walker DuehrIslanders (NYI)C/RW281997-11-23USANo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,212,000$1,147,071$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.13205 Lbs6 ft22.221,245,239$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynMitchell StephensArttu Hyry40032
2Joona KoppanenAlex LimogesSam Poulin30032
3Matt RempeMarc McLaughlinPierrick Dube20032
4Joey AndersonWalker DuehrBlake McLaughlin10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Egor ZamulaJordan Oesterle40041
2Daniil MiromanovGrant Hutton30041
3Jordan HarrisLleyton Moore20041
4Egor ZamulaJordan Oesterle10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynMitchell StephensArttu Hyry60005
2Joona KoppanenAlex LimogesSam Poulin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Egor ZamulaJordan Oesterle60122
2Daniil MiromanovGrant Hutton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensBeck Malenstyn60122
2Alex LimogesJoona Koppanen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Egor ZamulaJordan Oesterle60122
2Daniil MiromanovGrant Hutton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mitchell Stephens60122Egor ZamulaJordan Oesterle60122
2Alex Limoges40122Daniil MiromanovGrant Hutton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensBeck Malenstyn60122
2Alex LimogesJoona Koppanen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Egor ZamulaJordan Oesterle60122
2Daniil MiromanovGrant Hutton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynMitchell StephensArttu HyryEgor ZamulaJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynMitchell StephensArttu HyryEgor ZamulaJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Poulin, Joey Anderson, Mitchell StephensSam Poulin, Joey AndersonSam Poulin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Grant Hutton, Jordan Harris, Lleyton MooreGrant HuttonGrant Hutton, Jordan Harris
Tirs de pénalité
Beck Malenstyn, Arttu Hyry, Joona Koppanen, Matt Rempe, Sam Poulin
Gardien
#1 : Nikita Tolopilo, #2 : Dan Vladar


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
1Bears11000000835000000000001100000083521.0008132100109803752755502891018300.00%5260.00%06212350.41%5810555.24%377450.00%1045296479851
2Phantoms11000000211110000002110000000000021.00023500109803252755501868245120.00%4175.00%06212350.41%5810555.24%377450.00%1045296479851
3Reign2110000011831010000045-11100000073420.5001114250010980765275550793110446233.33%6183.33%06212350.41%5810555.24%377450.00%1045296479851
4Roadrunners11000000624000000000001100000062421.000691500109803752755503515925400.00%20100.00%06212350.41%5810555.24%377450.00%1045296479851
Total5410000027141321100000660330000002181380.80027396600109801825275550160613711118316.67%17476.47%06212350.41%5810555.24%377450.00%1045296479851
_Since Last GM Reset5410000027141321100000660330000002181380.80027396600109801825275550160613711118316.67%17476.47%06212350.41%5810555.24%377450.00%1045296479851
_Vs Conference5410000027141321100000660330000002181380.80027396600109801825275550160613711118316.67%17476.47%06212350.41%5810555.24%377450.00%1045296479851

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58L1273966182160613711100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
54100002714
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000066
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3300000218
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
18316.67%17476.47%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
527555010980
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
6212350.41%5810555.24%377450.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1045296479851


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
110Islanders6Roadrunners2WSommaire du match
220Islanders7Reign3WSommaire du match
330Phantoms1Islanders2WSommaire du match
548Islanders8Bears3WSommaire du match
660Reign5Islanders4LSommaire du match
780Islanders-Gulls-
992Griffins-Islanders-
10109Islanders-Thunderbirds-
11124Marlies-Islanders-
12141Islanders-Thunderbirds-
13152Phantoms-Islanders-
15175Islanders-IceHogs-
16182Marlies-Islanders-
17204Bears-Islanders-
18219Islanders-Checkers-
19228Islanders-Marlies-
20245Monsters-Islanders-
23267Islanders-IceHogs-
24277Silver Knights-Islanders-
25295Wolf Pack-Islanders-
27310Islanders-Bruins-
28327Wolves-Islanders-
29346Islanders-Americans-
30360Americans-Islanders-
31377Stars-Islanders-
32391Islanders-Heat-
33403Islanders-Crunch-
34415Islanders-Senators-
35430Rocket-Islanders-
37450Bears-Islanders-
38464Islanders-Condors-
39478Islanders-Reign-
40492Senators-Islanders-
41506Islanders-Thunderbirds-
42520Roadrunners-Islanders-
43540Moose-Islanders-
44553Islanders-Rocket-
45568Islanders-Bears-
46584Monsters-Islanders-
47601Condors-Islanders-
48614Islanders-Wolf Pack-
49631Crunch-Islanders-
51657Islanders-Monsters-
52666Islanders-Marlies-
53680Eagles-Islanders-
54698Barracuda-Islanders-
56717Islanders-Griffins-
57730IceHogs-Islanders-
58744Islanders-Eagles-
59754Islanders-Bears-
60772Marlies-Islanders-
62792Islanders-Barracuda-
63801Phantoms-Islanders-
65821Islanders-Canucks-
66834Roadrunners-Islanders-
68855Comets-Islanders-
69875Bruins-Islanders-
71895Islanders-Gulls-
72908Islanders-Silver Knights-
73920Wild-Islanders-
75938Islanders-Moose-
76951Checkers-Islanders-
78971Islanders-Admirals-
79982Islanders-Penguins-
80990Penguins-Islanders-
821014Canucks-Islanders-
831033Gulls-Islanders-
851050Islanders-Roadrunners-
861063Islanders-Phantoms-
871076Thunderbirds-Islanders-
881090Islanders-Griffins-
891101Islanders-Comets-
901112Admirals-Islanders-
911133Griffins-Islanders-
921145Islanders-Roadrunners-
941161Islanders-Wild-
951173Thunderbirds-Islanders-
961184Islanders-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981202Griffins-Islanders-
1001225Islanders-Stars-
1011236Heat-Islanders-
1021253Islanders-Wolves-
1031259Islanders-Rocket-
1041270Heat-Islanders-
1071301Reign-Islanders-
1101320Reign-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance4,0001,485
Assistance PCT100.00%74.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2743 - 91.42% 105,995$211,990$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
195,261$ 2,864,050$ 2,864,050$ 795,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
25,572$ 152,673$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,345,795$ 106 32,670$ 3,463,020$




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