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Connexion

Islanders
GP: 79 | W: 39 | L: 25 | OTL: 15 | P: 93
GF: 270 | GA: 251 | PP%: 22.01% | PK%: 77.23%
DG: Trevor Robb | Morale : 46 | Moyenne d’équipe : 62
Prochains matchs #1225 vs Stars

Centre de jeu
Islanders
39-25-15, 93pts
1
3 Phantoms
37-31-9, 83pts
Team Stats
W1SéquenceW2
20-10-9Fiche domicile18-17-4
19-15-6Fiche domicile19-14-5
4-4-2Derniers 10 matchs7-3-0
3.42Buts par match 2.57
3.18Buts contre par match 2.73
22.01%Pourcentage en avantage numérique27.17%
77.23%Pourcentage en désavantage numérique66.67%
Griffins
38-22-16, 92pts
2
6 Islanders
39-25-15, 93pts
Team Stats
L2SéquenceW1
22-11-6Fiche domicile20-10-9
16-11-10Fiche domicile19-15-6
3-4-3Derniers 10 matchs4-4-2
2.84Buts par match 3.42
2.97Buts contre par match 3.18
30.36%Pourcentage en avantage numérique22.01%
75.00%Pourcentage en désavantage numérique77.23%
Islanders
39-25-15, 93pts
Jour 100
Stars
51-16-12, 114pts
Statistiques d’équipe
W1SéquenceOTL1
20-10-9Fiche domicile24-9-6
19-15-6Fiche visiteur27-7-6
4-4-210 derniers matchs5-4-1
3.42Buts par match 3.10
3.18Buts contre par match 3.10
22.01%Pourcentage en avantage numérique27.27%
77.23%Pourcentage en désavantage numérique72.93%
Heat
44-21-14, 102pts
Jour 101
Islanders
39-25-15, 93pts
Statistiques d’équipe
L2SéquenceW1
24-9-6Fiche domicile20-10-9
20-12-8Fiche visiteur19-15-6
4-4-210 derniers matchs4-4-2
2.65Buts par match 3.42
2.33Buts contre par match 3.42
29.53%Pourcentage en avantage numérique22.01%
78.72%Pourcentage en désavantage numérique77.23%
Islanders
39-25-15, 93pts
Jour 102
Wolves
32-35-11, 75pts
Statistiques d’équipe
W1SéquenceW2
20-10-9Fiche domicile15-17-7
19-15-6Fiche visiteur17-18-4
4-4-210 derniers matchs5-5-0
3.42Buts par match 1.72
3.18Buts contre par match 1.72
22.01%Pourcentage en avantage numérique22.70%
77.23%Pourcentage en désavantage numérique72.54%
Meneurs d'équipe
Buts
Will Cuylle
47
Passes
Will Cuylle
48
Points
Will Cuylle
95
Plus/Moins
Walker Duehr
16
Victoires
Nikke Kokko
30
Pourcentage d’arrêts
Nikke Kokko
0.886

Statistiques d’équipe
Buts pour
270
3.42 GFG
Tirs pour
2382
30.15 Avg
Pourcentage en avantage numérique
22.0%
46 GF
Début de zone offensive
40.7%
Buts contre
251
3.18 GAA
Tirs contre
1964
24.86 Avg
Pourcentage en désavantage numérique
77.2%%
51 GA
Début de la zone défensive
33.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,682
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
1Will CuylleXX99.009961858181699969367879692564657479720241902,500$
2Beck MalenstynX100.009256888278579364546061762563646380670283850,000$
3Arttu Hyry (R)X100.008579937380828766506168686246466579660253850,000$
4Joona KoppanenX99.0099489984826583635552617825484865746602832,755,500$
5Sam Poulin (R)X100.008382827383768064506064666147476476640253850,000$
6Mitchell StephensX100.0075439379735379628362597025616261806402922,225,000$
7Matt Rempe (R)XXX100.009399578499527760306058652552536276640231820,000$
8Joey AndersonXX100.0070439971746267615656548125636361726302732,755,500$
9Alex LimogesX100.0080749568746869638061636560474764706302811,173,000$
10Marc McLaughlin (R)X100.0087459977735365624757666625484864756202621,359,000$
11Walker DuehrXX100.0086469980785262592954586225575760776102811,212,000$
12Pierrick DubeX100.0071658169667376635059636060474761736102521,255,000$
13Kyle McDonaldX100.0078788164795962505043536250454556585502421,355,000$
14Jordan OesterleX100.007042977067716462255452762571725960660333850,000$
15Daniil MiromanovX100.006442917578726261255348732557575766640283850,000$
16Grant HuttonX100.007644906879626161255246752548485768630303850,000$
17Jordan HarrisX100.006942947267575561255148722562625658620253850,000$
18Lleyton Moore (R)X100.007161986463434347253840573946464947530241800,000$
19Vincent SevignyX100.007173688174333241252739553745454619520251750,000$
Rayé
1Egor ZamulaX100.006442976876708067255750772562625971660263850,000$
MOYENNE D’ÉQUIPE99.90795889747661706042555769355454606863
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)100.00525265945155545855563045455475570262850,000$
2Clay Stevenson (R)100.00495164814750515551513044445125530272850,000$
Rayé
1Nikke Kokko (R)100.006251647564636871656330464659746202231,200,000$
MOYENNE D’ÉQUIPE100.0054516483545658615757304545555857
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
1Will CuylleIslanders (NYI)LW/RW72474895-118715196952947817615.99%41149520.771012223915840461392339.67%1219127031.27117021984
2Beck MalenstynIslanders (NYI)LW79373572114952081232397614915.48%24148518.805101517150112121085146.46%996223000.97417001438
3Mitchell StephensIslanders (NYI)C79264369151401831222155611112.09%24144118.257714211490009833156.64%9184521000.9601000462
4Arttu HyryIslanders (NYI)RW79323466-84915187842226214814.41%39156119.7676132417811271148247.12%2953829010.85713120466
5Joona KoppanenIslanders (NYI)LW79273158-31915179901876012114.44%31146518.555131818113000175246.20%10653021000.7937021763
6Sam PoulinIslanders (NYI)RW79152035847517167132537811.36%12105413.3524610130000081248.84%863212000.6623001033
7Egor ZamulaIslanders (NYI)D70528331112014111911748544.27%98197128.17268161760112161000%02445000.3311000210
8Marc McLaughlinIslanders (NYI)C79131730110019187139521019.35%13105413.350000180114822046.36%330368000.5700000233
9Walker DuehrIslanders (NYI)C/RW79121830169516174114307510.53%19111414.1100001000022137.04%542312000.5400001220
10Matt RempeIslanders (NYI)C/LW/RW78131326189351033576295417.11%146017.7133615670004402136.47%595177000.8713223120
11Jordan OesterleIslanders (NYI)D7942226916012613310349423.88%94196824.91336171890112186020%01944000.2600000001
12Joey AndersonIslanders (NYI)LW/RW799152412001657611333637.96%23109913.920001220112910045.45%551824000.4400000314
13Alex LimogesIslanders (NYI)C791210221327151055093244612.90%1480810.24000017000051252.20%3411612000.5400021021
14Pierrick DubeIslanders (NYI)RW7971522112401835110736706.54%485910.8800013000021051.85%27247000.5122000010
15Grant HuttonIslanders (NYI)D790212175201461057631420%70178622.6102241380111126000%01152000.2400000102
16Daniil MiromanovIslanders (NYI)D792171994751431509239502.17%77198425.1214561370002127000%02948000.1900010110
17Jordan HarrisIslanders (NYI)D79216181122090774319254.65%42118615.01112332011076000%0628100.3000000010
18Lleyton MooreIslanders (NYI)D650331340271714670%95177.9600001000011000%026000.1200000000
19Kyle McDonaldIslanders (NYI)RW74011100024000%0180.250000000000000%000001.0900000000
20Vincent SevignyIslanders (NYI)D23000-3401521000%41044.540000000000000%00000000000000
21Blake McLaughlinIslandersC/LW/RW12000220501000%1463.850000000000000%01000000000000
Statistiques d’équipe totales ou en moyenne1500263407670136573115272515592382781141211.04%6532362415.75467111719216876814521378321747.52%3986524426140.5721643119404637
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
1Nikke KokkoIslanders (NYI)613017130.8862.683583451601403799320.59354610312
2Nikita TolopiloIslanders (NYI)207720.8463.8810682069449253410.55691662010
3Dan VladarIslanders22000.9352.501200057745000025000
4Clay StevensonIslanders (NYI)30100.8754.215700432190000012000
Statistiques d’équipe totales ou en moyenne863925150.8792.964829652381961111673637979322


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$146,625$0$0$No---------------------------Lien
Arttu HyryIslanders (NYI)RW252001-04-06FINYes214 Lbs6 ft3NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$106,250$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$106,250$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Clay StevensonIslanders (NYI)G271999-03-03CANYes195 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm850,000$106,250$0$0$No850,000$--------850,000$--------No--------Lien
Daniil MiromanovIslanders (NYI)D281997-07-11RUSNo207 Lbs6 ft4NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$106,250$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$106,250$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$106,250$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$344,438$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$344,438$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$106,250$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$106,250$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$169,375$0$0$No1,355,000$--------1,355,000$--------No--------Lien
Lleyton MooreIslanders (NYI)D242002-02-27SKWYes179 Lbs5 ft8NoNoFree AgentNoNo12024-10-01FalseFalsePro & Farm800,000$100,000$0$0$No---------------------------Lien
Marc McLaughlinIslanders (NYI)C261999-07-26USAYes202 Lbs6 ft0NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,359,000$169,875$0$0$No1,359,000$--------1,359,000$--------No--------Lien
Matt RempeIslanders (NYI)C/LW/RW232002-06-29CANYes255 Lbs6 ft9NoNoTrade2025-10-15NoNo1FalseFalsePro & Farm820,000$102,500$0$0$No---------------------------Lien
Mitchell StephensIslanders (NYI)C291997-02-05CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm2,225,000$278,125$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$106,250$0$0$No850,000$--------850,000$--------No--------Lien
Nikke KokkoIslanders (NYI)G222004-03-14FINYes184 Lbs6 ft3NoNoFree AgentNoNo32025-12-09FalseFalsePro & Farm1,200,000$150,000$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$156,875$0$0$No1,255,000$--------1,255,000$--------No--------Lien
Sam PoulinIslanders (NYI)RW252001-02-25CANYes227 Lbs6 ft2NoNoFree AgentNoNo32025-12-08FalseFalsePro & Farm850,000$106,250$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$93,750$0$0$No---------------------------Lien
Walker DuehrIslanders (NYI)C/RW281997-11-23USANo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,212,000$151,500$0$0$No---------------------------Lien
Will CuylleIslanders (NYI)LW/RW242002-02-05CANNo212 Lbs6 ft3NoNoTrade2025-09-03NoNo1FalseFalsePro & Farm902,500$112,812$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.35205 Lbs6 ft22.221,176,630$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleJoona KoppanenArttu Hyry40032
2Beck MalenstynMitchell StephensWalker Duehr30032
3Joona KoppanenAlex LimogesSam Poulin20032
4Joey AndersonMarc McLaughlinPierrick Dube10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJordan Harris40041
2Daniil MiromanovGrant Hutton30041
3Daniil MiromanovJordan Oesterle20041
4Daniil MiromanovGrant Hutton10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleJoona KoppanenArttu Hyry60005
2Beck MalenstynMitchell StephensSam Poulin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJordan Harris60122
2Daniil MiromanovGrant Hutton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arttu HyryWill Cuylle60122
2Mitchell StephensBeck Malenstyn40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJordan Harris60122
2Daniil MiromanovGrant Hutton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Will Cuylle60122Lleyton MooreJordan Oesterle60122
2Mitchell Stephens40122Daniil MiromanovGrant Hutton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arttu HyryWill Cuylle60122
2Mitchell StephensBeck Malenstyn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisJordan Oesterle60122
2Daniil MiromanovGrant Hutton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleBeck MalenstynArttu HyryDaniil MiromanovJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleBeck MalenstynArttu HyryDaniil MiromanovJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Will Cuylle, Sam Poulin, Joey AndersonBeck Malenstyn, Sam PoulinBeck Malenstyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Grant Hutton, Jordan Oesterle, Daniil MiromanovGrant HuttonGrant Hutton, Daniil Miromanov
Tirs de pénalité
Will Cuylle, Beck Malenstyn, Arttu Hyry, Joona Koppanen, Mitchell Stephens
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
1Admirals21000001550110000004311000000112-130.75055100060111902252616941810773261371500.00%40100.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
2Americans21100000770110000004221010000035-220.500791600601119022646169418107763171463700.00%7442.86%0785160249.00%616131047.02%493102748.00%166279414308151741848
3Barracuda2010010026-41000010012-11010000014-310.25024600601119022496169418107734141079400.00%5260.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
4Bears52201000161332110000044031101000129360.6001626420060111902212561694181077162563713310110.00%16475.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
5Bruins20100001510-51010000026-41000000134-110.250581300601119022636169418107749191276300.00%6350.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
6Canucks210000018531000000123-11100000062430.750814220060111902248616941810773714146111100.00%7271.43%0785160249.00%616131047.02%493102748.00%166279414308151741848
7Checkers22000000725110000004131100000031241.00071219006011190225061694181077411317825360.00%60100.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
8Comets22000000826110000004041100000042241.0008111901601119022606169418107744142749111.11%110.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
9Condors21000010954100000104311100000052341.00091221006011190226361694181077541810665240.00%50100.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
10Crunch20100010770100000103211010000045-120.5007714006011190225661694181077461020917228.57%10280.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
11Eagles200010016601000000134-11000100032130.75061117006011190226361694181077551810723266.67%60100.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
12Griffins512001102119231000110141042020000079-250.5002133540060111902213561694181077113424818117529.41%14378.57%0785160249.00%616131047.02%493102748.00%166279414308151741848
13Gulls311000019811000000123-12110000075230.500914230160111902294616941810776024221077228.57%11281.82%0785160249.00%616131047.02%493102748.00%166279414308151741848
14Heat1000000123-1000000000001000000123-110.5002240060111902245616941810773114443300.00%20100.00%1785160249.00%616131047.02%493102748.00%166279414308151741848
15IceHogs310000201394100000105412100001085361.00013142700601119022936169418107754133811810220.00%9277.78%0785160249.00%616131047.02%493102748.00%166279414308151741848
16Marlies54000100171073200010011832200000062490.9001728450160111902215861694181077108254419812325.00%12283.33%0785160249.00%616131047.02%493102748.00%166279414308151741848
17Monsters32100000642211000004401100000020240.667610160160111902264616941810773514121455120.00%6183.33%0785160249.00%616131047.02%493102748.00%166279414308151741848
18Moose2000010135-21000000112-11000010023-120.500347006011190226561694181077261213828225.00%40100.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
19Penguins210000101055100000105411100000051441.00010152500601119022576169418107734811786116.67%3166.67%0785160249.00%616131047.02%493102748.00%166279414308151741848
20Phantoms514000001017-731200000610-42020000047-320.2001017270060111902214861694181077125362916315426.67%12466.67%0785160249.00%616131047.02%493102748.00%166279414308151741848
21Reign31200000121201010000045-12110000087120.333121628006011190221046169418107711845166710330.00%9277.78%0785160249.00%616131047.02%493102748.00%166279414308151741848
22Roadrunners531000012319422000000963311000011413170.7002333561060111902215761694181077170754115715320.00%18288.89%1785160249.00%616131047.02%493102748.00%166279414308151741848
23Rocket2010000158-31010000035-21000000123-110.250581300601119022586169418107743141663200.00%8362.50%0785160249.00%616131047.02%493102748.00%166279414308151741848
24Senators211000001082110000007341010000035-220.500101626006011190226461694181077442314596233.33%7271.43%1785160249.00%616131047.02%493102748.00%166279414308151741848
25Silver Knights210000101055100000106511100000040441.000101525016011190228361694181077241120537114.29%5180.00%1785160249.00%616131047.02%493102748.00%166279414308151741848
26Stars1010000057-21010000057-20000000000000.00059141060111902231616941810774068242150.00%40100.00%1785160249.00%616131047.02%493102748.00%166279414308151741848
27Thunderbirds523000001621-52110000077031200000914-540.4001624401060111902216161694181077182444413114321.43%12283.33%0785160249.00%616131047.02%493102748.00%166279414308151741848
28Wild20100001915-61000000156-11010000049-510.25091524006011190226461694181077791917585120.00%6266.67%1785160249.00%616131047.02%493102748.00%166279414308151741848
29Wolf Pack210001008531000010034-11100000051430.7508142200601119022746169418107735231987400.00%7442.86%0785160249.00%616131047.02%493102748.00%166279414308151741848
30Wolves1010000013-21010000013-20000000000000.000112006011190223461694181077266443200.00%20100.00%0785160249.00%616131047.02%493102748.00%166279414308151741848
Total793025025710270251193914100046513312674016150211513712512930.58927040767735601119022238261694181077196465357927252094622.01%2245177.23%6785160249.00%616131047.02%493102748.00%166279414308151741848
_Since Last GM Reset793025025710270251193914100046513312674016150211513712512930.58927040767735601119022238261694181077196465357927252094622.01%2245177.23%6785160249.00%616131047.02%493102748.00%166279414308151741848
_Vs Conference471916023251601519231160022281738248100210379781540.57416024440431601119022141561694181077130041734915451323123.48%1292481.40%3785160249.00%616131047.02%493102748.00%166279414308151741848
_Vs Division22141401211797181285002104837111069010013134-3350.795791212000160111902264861694181077507163185813591525.42%701972.86%1785160249.00%616131047.02%493102748.00%166279414308151741848

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7993W127040767723821964653579272535
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
79302525710270251
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3914100465133126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4016152115137125
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2094622.01%2245177.23%6
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
61694181077601119022
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
785160249.00%616131047.02%493102748.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166279414308151741848


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
780Islanders4Gulls5LSommaire du match
992Griffins4Islanders5WXXSommaire du match
10109Islanders5Thunderbirds2WSommaire du match
11124Marlies3Islanders4WSommaire du match
12141Islanders1Thunderbirds7LSommaire du match
13152Phantoms7Islanders3LSommaire du match
15175Islanders4IceHogs2WSommaire du match
16182Marlies1Islanders4WSommaire du match
17204Bears2Islanders3WSommaire du match
18219Islanders3Checkers1WSommaire du match
19228Islanders5Marlies2WSommaire du match
20245Monsters2Islanders3WSommaire du match
23267Islanders4IceHogs3WXXSommaire du match
24277Silver Knights5Islanders6WXXSommaire du match
25295Wolf Pack4Islanders3LXSommaire du match
27310Islanders3Bruins4LXXSommaire du match
28327Wolves3Islanders1LSommaire du match
29346Islanders3Americans5LSommaire du match
30360Americans2Islanders4WSommaire du match
31377Stars7Islanders5LSommaire du match
32391Islanders2Heat3LXXSommaire du match
33403Islanders4Crunch5LSommaire du match
34415Islanders3Senators5LSommaire du match
35430Rocket5Islanders3LSommaire du match
37450Bears2Islanders1LSommaire du match
38464Islanders5Condors2WSommaire du match
39478Islanders1Reign4LSommaire du match
40492Senators3Islanders7WSommaire du match
41506Islanders3Thunderbirds5LSommaire du match
42520Roadrunners3Islanders5WSommaire du match
43540Moose2Islanders1LXXSommaire du match
44553Islanders2Rocket3LXXSommaire du match
45568Islanders1Bears4LSommaire du match
46584Monsters2Islanders1LSommaire du match
47601Condors3Islanders4WXXSommaire du match
48614Islanders5Wolf Pack1WSommaire du match
49631Crunch2Islanders3WXXSommaire du match
51657Islanders2Monsters0WSommaire du match
52666Islanders1Marlies0WSommaire du match
53680Eagles4Islanders3LXXSommaire du match
54698Barracuda2Islanders1LXSommaire du match
56717Islanders3Griffins4LSommaire du match
57730IceHogs4Islanders5WXXSommaire du match
58744Islanders3Eagles2WXSommaire du match
59754Islanders3Bears2WXSommaire du match
60772Marlies4Islanders3LXSommaire du match
62792Islanders1Barracuda4LSommaire du match
63801Phantoms2Islanders1LSommaire du match
65821Islanders6Canucks2WSommaire du match
66834Roadrunners3Islanders4WSommaire du match
68855Comets0Islanders4WSommaire du match
69875Bruins6Islanders2LSommaire du match
71895Islanders3Gulls0WSommaire du match
72908Islanders4Silver Knights0WSommaire du match
73920Wild6Islanders5LXXSommaire du match
75938Islanders2Moose3LXSommaire du match
76951Checkers1Islanders4WSommaire du match
78971Islanders1Admirals2LXXSommaire du match
79982Islanders5Penguins1WSommaire du match
80990Penguins4Islanders5WXXSommaire du match
821014Canucks3Islanders2LXXSommaire du match
831033Gulls3Islanders2LXXSommaire du match
851050Islanders4Roadrunners6LSommaire du match
861063Islanders3Phantoms4LSommaire du match
871076Thunderbirds6Islanders4LSommaire du match
881090Islanders4Griffins5LSommaire du match
891101Islanders4Comets2WSommaire du match
901112Admirals3Islanders4WSommaire du match
911133Griffins4Islanders3LXSommaire du match
921145Islanders4Roadrunners5LXXSommaire du match
941161Islanders4Wild9LSommaire du match
951173Thunderbirds1Islanders3WSommaire du match
961184Islanders1Phantoms3LSommaire du match
981202Griffins2Islanders6WSommaire du match
1001225Islanders-Stars-
1011236Heat-Islanders-
1021253Islanders-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1031259Islanders-Rocket-
1041270Heat-Islanders-
1071301Reign-Islanders-
1101320Reign-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance74,30930,273
Assistance PCT95.27%77.62%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 2682 - 89.39% 102,518$3,998,216$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,108,540$ 2,706,250$ 2,706,250$ 795,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
24,163$ 2,412,936$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
410,073$ 14 31,261$ 437,654$




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