Connexion

Islanders
GP: 22 | W: 15 | L: 7
GF: 85 | GA: 65 | PP%: 33.82% | PK%: 79.71%
DG: Trevor Robb | Morale : 86 | Moyenne d’équipe : 60
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Centre de jeu
Condors
16-5-0, 32pts
1
FINAL
3 Islanders
15-7-0, 30pts
Team Stats
W1SéquenceL1
9-3-0Fiche domicile7-4-0
7-2-0Fiche domicile8-3-0
7-3-0Derniers 10 matchs6-3-1
3.86Buts par match 3.86
2.52Buts contre par match 2.95
11.86%Pourcentage en avantage numérique33.82%
82.61%Pourcentage en désavantage numérique79.71%
Islanders
15-7-0, 30pts
2
FINAL
5 Condors
16-5-0, 32pts
Team Stats
L1SéquenceW1
7-4-0Fiche domicile9-3-0
8-3-0Fiche domicile7-2-0
6-3-1Derniers 10 matchs7-3-0
3.86Buts par match 3.86
2.95Buts contre par match 2.52
33.82%Pourcentage en avantage numérique11.86%
79.71%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Sheldon DriesButs
Sheldon Dries
21
Sheldon DriesPasses
Sheldon Dries
24
Sheldon DriesPoints
Sheldon Dries
45
Mitchell StephensPlus/Moins
Mitchell Stephens
12
Victoires
Clay Stevenson
15
Pourcentage d’arrêts
Clay Stevenson
0.904

Statistiques d’équipe
Buts pour
85
3.86 GFG
Tirs pour
600
27.27 Avg
Pourcentage en avantage numérique
33.8%
23 GF
Début de zone offensive
35.6%
Buts contre
65
2.95 GAA
Tirs contre
679
30.86 Avg
Pourcentage en désavantage numérique
79.7%%
14 GA
Début de la zone défensive
38.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,980
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 100
Espoirs65


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Sheldon DriesX100.0070647564647476758167786767626264886703111,301,000$
2Mitchell StephensX100.0062419673705386688059647325606060866402832,225,000$
3Alex LimogesXX100.0080749164757578678064696662484863866402721,173,000$
4Pierrick Dube (R)X100.0067617869647173655060705964484760866202431,255,000$
5Kyle McDonald (R)X100.0082788867816365605053646559484759866102331,355,000$
6Marc McLaughlinX100.0080748972757683526346556248484854865902511,075,000$
7Adam Sykora (R)XX100.007362996565656951655148594648485287560201750,000$
8Bryce Kindopp (A)X100.007671906571646848504349594647475278550262911,000$
9Blake McLaughlin (C)X100.007064856266505144504243574247474881510252925,000$
10Cole McWard (R)X100.007975907077616550254344643947465079600242800,000$
11Austin Strand (A)X100.0077776765776570522544456341505048826002811,243,000$
12Vincent Sevigny (R)X100.007673866775576146253639593846464867560242750,000$
Rayé
1Connor BrownXX100.0065429774686358723967648425767662856703132,800,000$
2Walker DuehrX100.0083459574765172673064616625555561796302721,212,000$
3Brendan PerliniXX100.007979796579555460505560635847476047590291800,000$
4Antti Saarela (R)XXX100.007468936569545549634053605146465426540231750,000$
5Nick Cicek (R)X100.007676666778697551254245623949484875600251838,000$
6Brady LyleX100.0075747666756265522542476244484750805902621,072,000$
7Mattias NorlinderX100.007368846770697546253840593847464979580242800,000$
8Jacob Murray (R)X100.007876886979505341252938613747474571560232800,000$
9Lleyton Moore (R)X100.006558866460505050253650564847465173530232800,000$
MOYENNE D’ÉQUIPE100.00746786677262675645495463455150547759
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 Tolopilo100.00604759956569616870663045456087640253850,000$
2Tomas Suchanek (R)100.00594759656466586468663044446156590223850,000$
Rayé
1Clay Stevenson100.00634759816672757581753047476490680263850,000$
MOYENNE D’ÉQUIPE100.0061475980656965697369304545627864
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Kowalsky40404040404040CAN435795,000$


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
1Sheldon DriesIslanders (NYI)C2221244533004360111375918.92%2154824.944121614490000484353.53%637169001.6400000611
2Kyle McDonaldIslanders (NYI)RW22818263121042458423549.52%1447221.4648122349000003046.43%28139001.1000200024
3Mitchell StephensIslanders (NYI)C221114251200284975254414.67%1344020.043366390224392151.99%277149011.1300000242
4Pierrick DubeIslanders (NYI)RW221111229120352566112816.67%1445720.771125380000571030.43%23109000.9600000402
5Alex LimogesIslanders (NYI)C/LW2281321121010262248193316.67%1441919.072132371121200045.00%20117101.0000101025
6Marc McLaughlinIslanders (NYI)C2212820-12010353545182626.67%1549322.4371813481011213044.37%1421010000.8100101120
7Cole McWardIslanders (NYI)D222810111152134146514.29%2749622.57000136101246000%0414000.4000010000
8Nick CicekIslanders (NYI)D10010108175111613460%1326226.22033033011017000%0412000.7600001001
9Austin StrandIslanders (NYI)D22191011743047433211153.13%2257826.30145253000047000%01118000.3500132010
10Bryce KindoppIslanders (NYI)RW22527-100183314101335.71%926912.2510121000001042.86%765000.5200000010
11Connor BrownIslanders (NYI)LW/RW22347-4208363913177.69%626612.1101102000001021.43%1496000.5300000000
12Adam SykoraIslanders (NYI)C/LW22235-2002331197910.53%828913.1400004000050052.87%8753000.3500000001
13Brendan PerliniIslanders (NYI)LW/RW22044-2608129430%21486.77000060110220025.00%410000.5400000000
14Brady LyleIslanders (NYI)D22044380262710860%1444120.06011019000024000%0212000.1800000000
15Vincent SevignyIslanders (NYI)D22022-7757207260%1732714.8801107000038000%025000.1200001000
16Walker DuehrIslanders (NYI)RW131010004741325.00%2554.2700001000000025.00%401000.3600000000
17Jacob MurrayIslanders (NYI)D18011-511514171110%1826214.60000015000027000%002000.0800010000
18Lleyton MooreIslanders (NYI)D21000000001000%2663.1500004000011000%00200000000000
19Mattias NorlinderIslanders (NYI)D2200018012166440%823210.5500011600004000%02900000000000
20Antti SaarelaIslanders (NYI)C/LW/RW13000000012210%1191.490000000000000%10000000000000
21Blake McLaughlinIslanders (NYI)LW9000000000000%000.060000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne41485135220512288040852960020633314.17%240654715.8223365969466358843215450.72%1244120142110.6700556131316
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
1Clay StevensonIslanders (NYI)2215520.9042.93133101656793550000220220
Statistiques d’équipe totales ou en moyenne2215520.9042.9313310165679355000220220


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
Adam SykoraIslanders (NYI)C/LW202004-09-07SLOYes172 Lbs5 ft10NoNoTrade2024-10-01NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Alex LimogesIslanders (NYI)C/LW271997-09-16USANo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,173,000$0$0$No1,173,000$--------1,173,000$--------No--------Lien
Antti SaarelaIslanders (NYI)C/LW/RW232001-06-27FINYes190 Lbs5 ft10NoNoTrade2025-01-31NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Austin StrandIslanders (NYI)D281997-02-16ALBNo208 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,243,000$0$0$No---------------------------Lien / Lien NHL
Blake McLaughlinIslanders (NYI)LW252000-02-14USANo173 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Brady LyleIslanders (NYI)D261999-06-06ONTNo203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,072,000$0$0$No1,072,000$--------1,072,000$--------No--------Lien
Brendan PerliniIslanders (NYI)LW/RW291996-04-27ENGNo211 Lbs6 ft3NoNoTrade2025-01-16NoNo12024-10-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Bryce KindoppIslanders (NYI)RW261999-06-14ABNo191 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm911,000$0$0$No911,000$--------911,000$--------No--------Lien
Clay StevensonIslanders (NYI)G261999-03-03BCNo195 Lbs6 ft4NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Cole McWardIslanders (NYI)D242001-06-09USAYes205 Lbs6 ft1NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Connor BrownIslanders (NYI)LW/RW311994-01-14ONTNo186 Lbs6 ft0NoNoAssign ManuallyNoNo32024-09-16FalseFalsePro & Farm2,800,000$0$0$No2,800,000$2,800,000$-------2,800,000$2,800,000$-------NoNo-------Lien / Lien NHL
Jacob MurrayIslanders (NYI)D232002-04-11ONTYes201 Lbs6 ft3NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Kyle McDonaldIslanders (NYI)RW232002-02-05ONTYes207 Lbs6 ft4NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,355,000$0$0$No1,355,000$1,355,000$-------1,355,000$1,355,000$-------NoNo-------Lien
Lleyton MooreIslanders (NYI)D232002-02-27SKWYes168 Lbs5 ft8NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Marc McLaughlinIslanders (NYI)C251999-07-26USANo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,075,000$0$0$No---------------------------Lien
Mattias NorlinderIslanders (NYI)D242000-12-04SWENo185 Lbs6 ft0NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Mitchell StephensIslanders (NYI)C281997-02-05ONTNo194 Lbs5 ft11NoNoAssign ManuallyNoNo32024-09-09FalseFalsePro & Farm2,225,000$0$0$No2,225,000$2,225,000$-------2,225,000$2,225,000$-------NoNo-------Lien / Lien NHL
Nick CicekIslanders (NYI)D252000-05-29MANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm838,000$0$0$No---------------------------Lien
Nikita TolopiloIslanders (NYI)G252000-04-06BELNo230 Lbs6 ft6NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Pierrick DubeIslanders (NYI)RW242001-01-07FRAYes172 Lbs5 ft9NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,255,000$0$0$No1,255,000$1,255,000$-------1,255,000$1,255,000$-------NoNo-------Lien
Sheldon DriesIslanders (NYI)C311994-04-23USANo180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,301,000$0$0$No---------------------------Lien / Lien NHL
Tomas SuchanekIslanders (NYI)G222003-04-30CZEYes180 Lbs6 ft0NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$870,000$------NoNo-------Lien
Vincent SevignyIslanders (NYI)D242001-04-14QUEYes194 Lbs6 ft3NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Walker DuehrIslanders (NYI)RW271997-11-23USANo209 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,212,000$0$0$No1,212,000$--------1,212,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.38194 Lbs6 ft12.001,091,042$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon Dries40032
2Alex LimogesMitchell StephensPierrick Dube30032
3Marc McLaughlinKyle McDonald20032
4Adam SykoraBryce Kindopp10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWardAustin Strand40041
230041
3Vincent Sevigny20041
4Cole McWardAustin Strand10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon Dries60005
2Alex LimogesMitchell StephensPierrick Dube40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWardAustin Strand60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sheldon Dries60122
2Mitchell StephensAlex Limoges40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWardAustin Strand60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sheldon Dries60122Cole McWardAustin Strand60122
2Mitchell Stephens4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sheldon Dries60122
2Mitchell StephensAlex Limoges40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole McWardAustin Strand60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sheldon DriesCole McWardAustin Strand
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sheldon DriesCole McWardAustin Strand
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Pierrick Dube, Kyle McDonald, Pierrick Dube
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Vincent Sevigny, , Vincent Sevigny
Tirs de pénalité
, Sheldon Dries, Alex Limoges, Mitchell Stephens,
Gardien
#1 : , #2 : Nikita Tolopilo


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Condors734000001822-431200000710-3422000001112-160.42918274500184025219216023220172721024713816425.00%21480.95%021944349.44%25248052.50%16032149.84%398178466228467234
2Griffins5410000028161232100000168822000000128480.800284775001840252157160232201712241679025936.00%16662.50%221944349.44%25248052.50%16032149.84%398178466228467234
3Heat64200000211563210000012933210000096380.6672132530118402521371602322017129425410214535.71%17382.35%121944349.44%25248052.50%16032149.84%398178466228467234
4Thunderbirds4400000018126220000009632200000096381.000182947001840252114160232201715655607813538.46%15193.33%021944349.44%25248052.50%16032149.84%398178466228467234
Total221570000085652011740000044331111830000041329300.682851352200118402526001602322017679240228408682333.82%691479.71%321944349.44%25248052.50%16032149.84%398178466228467234
_Since Last GM Reset221570000085652011740000044331111830000041329300.682851352200118402526001602322017679240228408682333.82%691479.71%321944349.44%25248052.50%16032149.84%398178466228467234
_Vs Conference15123000006743248620000037231476100000302010240.800671081750118402524081602322017407138181270521936.54%481079.17%321944349.44%25248052.50%16032149.84%398178466228467234
_Vs Division58100000281612341000001688240000001284161.600284775001840252157160232201712241679025936.00%16662.50%221944349.44%25248052.50%16032149.84%398178466228467234

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2230L18513522060067924022840801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2215700008565
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117400004433
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
118300004132
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
682333.82%691479.71%3
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
16023220171840252
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
21944349.44%25248052.50%16032149.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
398178466228467234


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
28Griffins1Islanders5WSommaire du match
416Griffins4Islanders3LXSommaire du match
624Islanders7Griffins6WSommaire du match
832Islanders5Griffins2WSommaire du match
1040Griffins3Islanders8WSommaire du match
1660Islanders6Thunderbirds4WSommaire du match
1864Islanders3Thunderbirds2WSommaire du match
2068Thunderbirds5Islanders7WSommaire du match
2272Thunderbirds1Islanders2WSommaire du match
3086Heat3Islanders6WSommaire du match
3288Heat3Islanders2LSommaire du match
3490Islanders3Heat4LSommaire du match
3692Islanders3Heat0WSommaire du match
3894Heat3Islanders4WXSommaire du match
4096Islanders3Heat2WXSommaire du match
4399Islanders2Condors1WSommaire du match
44100Islanders3Condors4LXSommaire du match
45101Condors5Islanders3LSommaire du match
46102Condors4Islanders1LSommaire du match
47103Islanders4Condors2WSommaire du match
48104Condors1Islanders3WSommaire du match
49105Islanders2Condors5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance22,00010,782
Assistance PCT100.00%98.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2980 - 99.34% 111,307$1,224,378$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,618,500$ 2,618,500$ 795,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Islanders Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Islanders Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Islanders Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Islanders Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Islanders Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA