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Islanders
GP: 40 | W: 26 | L: 11 | OTL: 3 | P: 55
GF: 144 | GA: 120 | PP%: 27.20% | PK%: 80.85%
DG: Simon Godin | Morale : 65 | Moyenne d’équipe : 63
Prochains matchs #655 vs Moose
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Centre de jeu
Checkers
28-10-3, 59pts
4
FINAL
5 Islanders
26-11-3, 55pts
Team Stats
W1SéquenceOTW2
14-4-2Fiche domicile12-6-2
14-6-1Fiche domicile14-5-1
7-2-1Derniers 10 matchs7-2-1
3.85Buts par match 3.60
3.17Buts contre par match 3.00
25.37%Pourcentage en avantage numérique27.20%
80.91%Pourcentage en désavantage numérique80.85%
Islanders
26-11-3, 55pts
3
FINAL
2 Moose
20-17-5, 45pts
Team Stats
OTW2SéquenceOTL1
12-6-2Fiche domicile10-7-3
14-5-1Fiche domicile10-10-2
7-2-1Derniers 10 matchs3-3-4
3.60Buts par match 3.43
3.00Buts contre par match 3.40
27.20%Pourcentage en avantage numérique19.53%
80.85%Pourcentage en désavantage numérique76.97%
Moose
20-17-5, 45pts
2024-12-02
Islanders
26-11-3, 55pts
Statistiques d’équipe
OTL1SéquenceOTW2
10-7-3Fiche domicile12-6-2
10-10-2Fiche visiteur14-5-1
3-3-410 derniers matchs7-2-1
3.43Buts par match 3.60
3.40Buts contre par match 3.60
19.53%Pourcentage en avantage numérique27.20%
76.97%Pourcentage en désavantage numérique80.85%
Islanders
26-11-3, 55pts
2024-12-04
Rocket
18-18-7, 43pts
Statistiques d’équipe
OTW2SéquenceL1
12-6-2Fiche domicile10-7-3
14-5-1Fiche visiteur8-11-4
7-2-110 derniers matchs3-5-2
3.60Buts par match 3.12
3.00Buts contre par match 3.12
27.20%Pourcentage en avantage numérique21.88%
80.85%Pourcentage en désavantage numérique78.36%
Barracuda
11-23-5, 27pts
2024-12-06
Islanders
26-11-3, 55pts
Statistiques d’équipe
L3SéquenceOTW2
7-12-2Fiche domicile12-6-2
4-11-3Fiche visiteur14-5-1
3-6-110 derniers matchs7-2-1
2.64Buts par match 3.60
3.31Buts contre par match 3.60
19.39%Pourcentage en avantage numérique27.20%
73.75%Pourcentage en désavantage numérique80.85%
Meneurs d'équipe
Buts
Mikhail Maltsev
19
Passes
Christopher Wilkie
25
Points
Christopher Wilkie
42
Plus/Moins
Brandon Manning
14
Victoires
Thomas McCollum
22
Pourcentage d’arrêts
Thomas McCollum
0.904

Statistiques d’équipe
Buts pour
144
3.60 GFG
Tirs pour
1228
30.70 Avg
Pourcentage en avantage numérique
27.2%
34 GF
Début de zone offensive
40.3%
Buts contre
120
3.00 GAA
Tirs contre
1177
29.43 Avg
Pourcentage en désavantage numérique
80.9%%
27 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralSimon Godin
EntraîneurDave Allison
DivisionDivision Atlantique
ConférenceConference 1
CapitaineBrandon Manning
Assistant #1Kerby Rychel
Assistant #2Nikita Nesterov


Informations de l’aréna

Capacité3,000
Assistance2,520
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 56
Espoirs23


Historique d'équipe

Saison actuelle26-11-3 (55PTS)
Historique75-35-13 (0.610%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2 - 4 (0.333%)
Coupe Stanley0


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
1Rem PitlickX100.0067458875717878757477667155615664686702711,800,000$
2Kerby Rychel (A)XX100.0075527671737478686069736764705951556603011,500,000$
3Mikhail MaltsevXX100.0065458775747480736870746968565266756602621,700,000$
4Josh Ho-SangXX100.006045887267766871627165656068545452640281900,000$
5Joel TeasdaleXX100.006445907271727268687070656549486075640252750,000$
6Christopher WilkieX100.0064457972697274737570697562555057756402821,100,000$
7Matt MoulsonXX100.0056379664706971656365656665848311506304111,250,000$
8Shane BowersX100.007245867269727266716667745449476075630252750,000$
9Ben Meyers (R)X98.007045897769707369616865695950456070630261900,000$
10Adam MusilXXX100.007047787273647371756466745555486064630272900,000$
11Connor BunnamanXX100.006745867271697165675960685555476021610261900,000$
12Linus WeissbachXX100.006845787264686867616765696249476042610261750,000$
13Nikita Nesterov (A)X100.0064538668707374744574627064725750766503111,200,000$
14Kevin ConnautonX100.0063459771736969694565667064685338756403421,200,000$
15Ryan StantonX100.006346957073808069456665696357473852640351900,000$
16Brady LyleX100.006852787273717168456564695849466055630252750,000$
17Griffin LuceX100.007450767273696659456358695747476039610261750,000$
Rayé
1Brett ConnollyXX44.0266456672737072736372667365817647616603211,250,000$
2Chase Wouters (R)X100.006845757268707069706665725945457033620243750,000$
3Anton LanderX100.006345967070686768656564686261484222620332800,000$
4Andrei KuzmenkoXX100.005845857270676266606664626349485720610282800,000$
5Radovan BondraXX100.007052687075646866686465636049465720610271600,000$
6Gavin BayreutherX100.006044946971687169456763716157475351630302900,000$
7Brandon Manning (C)X88.256348927072687069456665696363494260630342900,000$
8Kelly SummersX100.005745827270725965456362685950495720610282700,000$
MOYENNE D’ÉQUIPE97.20654684717171716960676569615852535263
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
1Thomas McCollum98.007579788177818380838380485338706503411,100,000$
2David Rittich100.00695050817074827879827669615055630322900,000$
Rayé
1Callum Booth100.00798367807669836969777645475048600271750,000$
MOYENNE D’ÉQUIPE99.3374716581747583767781775454465863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Allison99858079999936CAN644100,000$


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
1Christopher WilkieIslanders (NYI)C40172542111603471138379312.32%368517.149413331010000133153.71%82100001.2300000251
2Mikhail MaltsevIslanders (NYI)LW/RW40192039116033461224111015.57%667316.83481228102000002343.90%4100001.1601000225
3Brett ConnollyIslanders (NYI)LW/RW3812172902406249103166711.65%1068718.08347155900011011052.11%7100000.8401000420
4Joel TeasdaleIslanders (NYI)LW/RW40169251601425100286016.00%668617.174262498000072052.63%5700000.7300000112
5Nikita NesterovIslanders (NYI)D4022325039541354616344.35%3282720.69111122696000037000%000000.6000001011
6Kerby RychelIslanders (NYI)LW/RW301110217180572164184617.19%248816.291561073000023144.12%3400000.8600000320
7Rem PitlickIslanders (NYI)C3181321460196379206610.13%655617.9513420740000111153.56%67400000.7500000201
8Brady LyleIslanders (NYI)D4051520-17610522144133011.36%4779619.9146102396000048110%000000.5000011000
9Ryan StantonIslanders (NYI)D2691019-1100221340122622.50%3654821.083361651000077210%000100.6900000123
10Brandon ManningIslanders (NYI)D3531417141602215428287.14%3766318.941451974011281100%000000.5100000101
11Josh Ho-SangIslanders (NYI)LW/RW27313162401117359438.57%537213.81000010000110046.81%4700000.8600000121
12Kevin ConnautonIslanders (NYI)D4021416416036212311178.70%6082720.69112270001113000%000000.3900000000
13Shane BowersIslanders (NYI)C407815-110037767516499.33%463815.970000000021143150.36%82200000.4700000110
14Adam MusilIslanders (NYI)C/LW/RW337815-160316055124812.73%942212.791126290001594051.72%55300000.7101000120
15Joel HanleyIslandersD17481264011143251612.50%1534620.401231742000029100%000000.6900000020
16Linus WeissbachIslanders (NYI)LW/RW2127922151213259138.00%029213.930000110000100033.33%2100000.6200000011
17Chase WoutersIslanders (NYI)C15358660623145821.43%215310.24000001011491151.50%20000001.0400000100
18Gavin BayreutherIslanders (NYI)D2408831401411187120%3644918.73000430000050000%000000.3600000000
19Ben MeyersIslanders (NYI)LW38538200171431102616.13%22797.3501108000150145.45%2200000.5700000011
20Griffin LuceIslanders (NYI)D18167928024874614.29%2631917.7700016000046000%000000.4400000000
21Joel KivirantaIslandersLW/RW35437-110025416817575.88%958716.79000250003961050.00%3600000.2400000000
22Matt MoulsonIslanders (NYI)LW/RW341238201920795.00%22056.0600000000010071.43%1400000.2901000000
23Anton LanderIslanders (NYI)C3000000000000%000.160000000000000%10000000000000
24Connor BunnamanIslanders (NYI)LW/RW1000-100100010%01313.200000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne7061412413828433820582666118132186511.94%3551152316.3234558924697211212969261151.90%341400100.6604012202417
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
1Thomas McCollumIslanders (NYI)3222630.9042.85181461869000000.7504319302
2David RittichIslanders (NYI)114400.8813.36536003025300000822000
3Callum BoothIslanders (NYI)10100.8753.0060003240000019000
Statistiques d’équipe totales ou en moyenne44261130.8992.96241161119117700044040302


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 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/RW271997-03-26CANNo203 Lbs6 ft5NoNoN/ANoNo22024-05-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Andrei KuzmenkoIslanders (NYI)LW/RW281996-02-04RUSNo202 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Anton LanderIslanders (NYI)C331991-04-24SWENo191 Lbs5 ft11NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Ben MeyersIslanders (NYI)LW261998-11-15USAYes194 Lbs5 ft11NoNoFree AgentNoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Brady LyleIslanders (NYI)D251999-06-06CANNo211 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Brandon Manning (sur la masse salariale)Islanders (NYI)D341990-06-04CANNo202 Lbs6 ft0NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm900,000$0$0$Yes900,000$--------900,000$--------No--------Lien
Brett Connolly (sur la masse salariale)Islanders (NYI)LW/RW321992-05-02CANNo198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$Yes---------------------------Lien
Callum BoothIslanders (NYI)G271997-05-21CANNo195 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Chase WoutersIslanders (NYI)C242000-02-08CANYes182 Lbs6 ft0NoNoProspectNoNo32024-07-28FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Christopher WilkieIslanders (NYI)C281996-07-10USANo190 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Connor BunnamanIslanders (NYI)LW/RW261998-04-16CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
David RittichIslanders (NYI)G321992-08-19CZENo205 Lbs6 ft4NoNoFree AgentNoNo22024-07-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Gavin BayreutherIslanders (NYI)D301994-05-12USANo196 Lbs6 ft1NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Griffin LuceIslanders (NYI)D261998-03-10USANo216 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Joel TeasdaleIslanders (NYI)LW/RW251999-03-11CANNo212 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Josh Ho-SangIslanders (NYI)LW/RW281996-01-22CANNo173 Lbs6 ft0NoNoN/ANoNo12024-05-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Kelly SummersIslanders (NYI)D281996-04-29CANNo191 Lbs6 ft2NoNoN/ANoNo22024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Kerby RychelIslanders (NYI)LW/RW301994-10-07USANo213 Lbs6 ft1NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Kevin ConnautonIslanders (NYI)D341990-02-23CANNo205 Lbs6 ft2NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Linus WeissbachIslanders (NYI)LW/RW261998-04-19SWENo161 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Matt MoulsonIslanders (NYI)LW/RW411983-11-01CANNo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Mikhail MaltsevIslanders (NYI)LW/RW261998-03-12RUSNo198 Lbs6 ft3NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Nikita NesterovIslanders (NYI)D311993-03-28RUSNo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Radovan BondraIslanders (NYI)LW/RW271997-01-27SVKNo218 Lbs6 ft7NoNoN/ANoNo12024-05-29FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Rem PitlickIslanders (NYI)C271997-04-02USANo196 Lbs5 ft11NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Ryan StantonIslanders (NYI)D351989-07-20CANNo205 Lbs6 ft2NoNoFree AgentNoNo12024-07-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Shane BowersIslanders (NYI)C251999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Thomas McCollumIslanders (NYI)G341989-12-07USANo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2829.11199 Lbs6 ft11.54980,357$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleRem PitlickLinus Weissbach30023
2Mikhail MaltsevChristopher WilkieKerby Rychel30023
3Josh Ho-SangAdam MusilConnor Bunnaman30122
4Matt MoulsonShane BowersBen Meyers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonBrady Lyle35032
2Kevin ConnautonNikita Nesterov35032
3Griffin Luce20122
4Griffin Luce10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleRem PitlickBen Meyers50005
2Mikhail MaltsevChristopher WilkieKerby Rychel50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonNikita Nesterov50014
2Brady Lyle50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam MusilBen Meyers50140
2Christopher WilkieShane Bowers50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin LuceRyan Stanton50140
2Kevin Connauton50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Shane Bowers50050Griffin LuceRyan Stanton50050
2Christopher Wilkie50050Kevin Connauton50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane BowersMatt Moulson50122
2Adam MusilBen Meyers50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin Luce50122
2Kevin ConnautonNikita Nesterov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel TeasdaleRem PitlickKerby RychelRyan StantonNikita Nesterov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam MusilChristopher WilkieShane BowersRyan StantonKevin Connauton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Shane Bowers, Joel Teasdale, Adam MusilJosh Ho-Sang, Ben MeyersLinus Weissbach
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Griffin Luce, Brady Lyle, Kevin ConnautonGriffin LuceBrady Lyle,
Tirs de pénalité
Adam Musil, Kerby Rychel, Matt Moulson, Mikhail Maltsev, Joel Teasdale
Gardien
#1 : Thomas McCollum, #2 : David Rittich


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Admirals11000000431000000000001100000043121.00047110047524143742139839914231012134125.00%60100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
2Americans11000000312110000003120000000000021.00036900475241430421398399142494182150.00%20100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
3Bears330000001055220000006421100000041361.0001017270047524147142139839914963025517342.86%80100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
4BruinsF321000007521010000012-12200000063340.667712190147524148442139839914862916396116.67%8187.50%0704137551.20%732136753.55%34666851.80%958654929295525261
5Canucks1000000156-11000000156-10000000000010.50059140047524142842139839914401212122150.00%6350.00%1704137551.20%732136753.55%34666851.80%958654929295525261
6Checkers210010001165100010005411100000062441.0001120310047524145942139839914632010297342.86%5180.00%0704137551.20%732136753.55%34666851.80%958654929295525261
7Comets2200000010460000000000022000000104641.0001015250047524147742139839914511518373266.67%9277.78%0704137551.20%732136753.55%34666851.80%958654929295525261
8Crunch4200110015114220000008442000110077070.8751528430047524141434213983991413429386816637.50%19573.68%0704137551.20%732136753.55%34666851.80%958654929295525261
9Firebirds3300000016882200000011561100000053261.000162844004752414100421398399149121285314642.86%14192.86%0704137551.20%732136753.55%34666851.80%958654929295525261
10Griffins1010000012-1000000000001010000012-100.0001230047524143742139839914189413400.00%20100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
11Icehogs11000000422000000000001100000042221.0004711004752414204213983991434131414300.00%5180.00%0704137551.20%732136753.55%34666851.80%958654929295525261
12Marlies1000010045-11000010045-10000000000010.5004711004752414324213983991436812156233.33%50100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
13Monsters11000000431110000004310000000000021.00047110047524144042139839914211412185120.00%60100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
14Moose30201000611-51010000003-32010100068-220.3336101600475241488421398399149128274012216.67%60100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
15PenguinsF1010000023-11010000023-10000000000000.000246004752414284213983991433202715100.00%6266.67%0704137551.20%732136753.55%34666851.80%958654929295525261
16Phantoms22000000853220000008530000000000041.000814220047524146042139839914551723195120.00%3233.33%0704137551.20%732136753.55%34666851.80%958654929295525261
17Reign11000000422000000000001100000042221.000471100475241427421398399143251213100.00%60100.00%0704137551.20%732136753.55%34666851.80%958654929295525261
18Rocket2110000056-12110000056-10000000000020.5005914004752414624213983991436161233700.00%6266.67%0704137551.20%732136753.55%34666851.80%958654929295525261
19SenatorsF20200000711-41010000035-21010000046-200.000712190047524145842139839914551214277114.29%7271.43%0704137551.20%732136753.55%34666851.80%958654929295525261
20StarsF1010000024-2000000000001010000024-200.0002460047524142942139839914336626300.00%3233.33%0704137551.20%732136753.55%34666851.80%958654929295525261
21Thunderbirds1010000025-3000000000001010000025-300.00023500475241428421398399143112610000%3166.67%0704137551.20%732136753.55%34666851.80%958654929295525261
22Wolves31101000141221010000024-221001000128440.66714253900475241490421398399149423144210330.00%6266.67%0704137551.20%732136753.55%34666851.80%958654929295525261
Total40221104201144120242011601101676072011503100776017550.68814425339701475241412284213983991411773583466051253427.20%1412780.85%1704137551.20%732136753.55%34666851.80%958654929295525261
_Since Last GM Reset40221104201144120242011601101676072011503100776017550.68814425339701475241412284213983991411773583466051253427.20%1412780.85%1704137551.20%732136753.55%34666851.80%958654929295525261
_Vs Conference32188042001189325181060110058517148203100604218460.719118207325014752414982421398399149452772684861033130.10%1042080.77%0704137551.20%732136753.55%34666851.80%958654929295525261
_Vs Division1671000005347694100000292727300000024204140.438539614901475241450542139839914452132110242551425.45%541179.63%0704137551.20%732136753.55%34666851.80%958654929295525261

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4055OTW21442533971228117735834660501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4022114201144120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2011611016760
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2011531007760
Derniers 10 matchs
WLOTWOTL SOWSOL
522100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1253427.20%1412780.85%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
421398399144752414
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
704137551.20%732136753.55%34666851.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
958654929295525261


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 - 2024-09-038Phantoms4Islanders5WSommaire du match
3 - 2024-09-0521Islanders3Moose6LSommaire du match
6 - 2024-09-0837Islanders4SenatorsF6LSommaire du match
8 - 2024-09-1052Wolves4Islanders2LSommaire du match
9 - 2024-09-1163Islanders6Wolves3WSommaire du match
12 - 2024-09-1480Islanders6Checkers2WSommaire du match
13 - 2024-09-1593Crunch3Islanders6WSommaire du match
16 - 2024-09-18114Rocket4Islanders1LSommaire du match
18 - 2024-09-20135Islanders5Firebirds3WSommaire du match
20 - 2024-09-22143Islanders4Crunch3WXSommaire du match
22 - 2024-09-24157SenatorsF5Islanders3LSommaire du match
24 - 2024-09-26172Islanders6Wolves5WXSommaire du match
26 - 2024-09-28189Firebirds3Islanders7WSommaire du match
28 - 2024-09-30207Islanders4Bears1WSommaire du match
30 - 2024-10-02219Moose3Islanders0LSommaire du match
33 - 2024-10-05235Islanders1BruinsF0WSommaire du match
36 - 2024-10-08252Bears2Islanders3WSommaire du match
39 - 2024-10-11274BruinsF2Islanders1LSommaire du match
41 - 2024-10-13295PenguinsF3Islanders2LSommaire du match
44 - 2024-10-16311Islanders4Admirals3WSommaire du match
46 - 2024-10-18327Islanders5BruinsF3WSommaire du match
48 - 2024-10-20342Rocket2Islanders4WSommaire du match
50 - 2024-10-22359Islanders1Griffins2LSommaire du match
52 - 2024-10-24373Americans1Islanders3WSommaire du match
55 - 2024-10-27395Islanders4Reign2WSommaire du match
57 - 2024-10-29406Firebirds2Islanders4WSommaire du match
60 - 2024-11-01428Canucks6Islanders5LXXSommaire du match
64 - 2024-11-05452Marlies5Islanders4LXSommaire du match
67 - 2024-11-08472Islanders6Comets2WSommaire du match
69 - 2024-11-10486Crunch1Islanders2WSommaire du match
71 - 2024-11-12498Islanders3Crunch4LXSommaire du match
73 - 2024-11-14517Monsters3Islanders4WSommaire du match
75 - 2024-11-16529Islanders4Comets2WSommaire du match
77 - 2024-11-18549Phantoms1Islanders3WSommaire du match
79 - 2024-11-20560Islanders2Thunderbirds5LSommaire du match
81 - 2024-11-22575Islanders4Icehogs2WSommaire du match
82 - 2024-11-23588Islanders2StarsF4LSommaire du match
84 - 2024-11-25598Bears2Islanders3WSommaire du match
87 - 2024-11-28621Checkers4Islanders5WXSommaire du match
88 - 2024-11-29637Islanders3Moose2WXSommaire du match
91 - 2024-12-02655Moose-Islanders-
93 - 2024-12-04671Islanders-Rocket-
95 - 2024-12-06682Barracuda-Islanders-
98 - 2024-12-09708PenguinsF-Islanders-
101 - 2024-12-12727Islanders-Iowa Wild-
103 - 2024-12-14741Islanders-Wolves-
104 - 2024-12-15748BruinsF-Islanders-
107 - 2024-12-18767Islanders-Americans-
109 - 2024-12-20782Marlies-Islanders-
111 - 2024-12-22795Islanders-Americans-
113 - 2024-12-24811Islanders-PenguinsF-
114 - 2024-12-25820Roadrunners-Islanders-
117 - 2024-12-28843Icehogs-Islanders-
119 - 2024-12-30861Islanders-Checkers-
121 - 2025-01-01873Islanders-SenatorsF-
123 - 2025-01-03883Condors-Islanders-
125 - 2025-01-05896Islanders-Moose-
126 - 2025-01-06912Checkers-Islanders-
130 - 2025-01-10941Islanders-Phantoms-
131 - 2025-01-11949SenatorsF-Islanders-
134 - 2025-01-14970Comets-Islanders-
136 - 2025-01-16981Islanders-Checkers-
137 - 2025-01-17993Islanders-Bears-
139 - 2025-01-191011Islanders-Phantoms-
141 - 2025-01-211022Gulls-Islanders-
143 - 2025-01-231038Islanders-Firebirds-
145 - 2025-01-251050Wranglers-Islanders-
148 - 2025-01-281077Americans-Islanders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2025-01-311099Islanders-Wolf Pack-
152 - 2025-02-011108Wranglers-Islanders-
156 - 2025-02-051131Islanders-Wolf Pack-
157 - 2025-02-061140Islanders-PenguinsF-
159 - 2025-02-081148Comets-Islanders-
162 - 2025-02-111170Wolf Pack-Islanders-
164 - 2025-02-131188Islanders-Silver Knights-
166 - 2025-02-151200Wolves-Islanders-
171 - 2025-02-201227Eagles-Islanders-
173 - 2025-02-221243Islanders-Marlies-
176 - 2025-02-251258Wolf Pack-Islanders-
177 - 2025-02-261268Islanders-Marlies-
181 - 2025-03-021294Wolves-Islanders-
183 - 2025-03-041306Islanders-Rocket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance31,14819,257
Assistance PCT77.87%96.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2520 - 84.01% 102,738$2,054,761$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,424,515$ 2,530,000$ 2,530,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,375,876$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,157,499$ 95 14,216$ 1,350,520$




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
1Rem Pitlick109365389112810523427413.14%23193617.77720275800005252.11%00.9200
2Joel Teasdale1223838761028968127913.62%17212817.441014245800006053.05%00.71213
3Kerby Rychel1093836747971677924615.45%11182616.76611173000027345.26%00.8111
4Nikita Nesterov121965744157127971515.96%131251320.7841317790000110%00.5901
5Christopher Wilkie11828447220226716222512.44%19148412.58115163801143152.95%00.9701

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
1Thomas McCollum100591890.9032.85510916124325120210.76338
2Nicola Riopel39121230.8923.45168821978950100.57114
3David Rittich114400.8813.36536003025300000
4Callum Booth10100.8753.00600032400000

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
Saison régulière
158240240237629026129412213021031431212241181100273147140710729051880811105869018246078584779780250872266112222555521.57%2465577.64%31411279950.41%1412284949.56%701139850.14%1966135419416161083539
16402211042011441202420116011016760720115031007760175514425339701475241412284213983991411773583466051253427.20%1412780.85%1704137551.20%732136753.55%34666851.80%958654929295525261
Total Saison régulière12262350657743438153613319032042101812961291603373224200241624347711205121521381312236881206124511969436851080100718273808923.42%3878278.81%42115417450.67%2144421650.85%1047206650.68%2924200928709121608800
Séries éliminatoires
15624000001319-631200000610-43120000079-2413253801652016157446001794850921516.67%22481.82%19018448.91%10620352.22%489650.00%13591145457939
Total Séries éliminatoires624000001319-631200000610-43120000079-2413253801652016157446001794850921516.67%22481.82%19018448.91%10620352.22%489650.00%13591145457939

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
1Brandon Davidson61340635425.00%812621.0800020110000%00.6300
2Melker Karlsson6224-10117238.70%110016.83000110111056.00%00.7900
3Matt Moulson63031212837.50%17312.21000000001050.00%00.8200
4Taylor Aronson6123-3263714.29%711919.8800000001000%00.5000
5Nikita Nesterov6033028440%411819.8000020000000%00.5100

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
1Thomas McCollum62310.8973.06314011615600000
2Nicola Riopel20000.8703.91460032300000