Connexion

Islanders
GP: 9 | W: 3 | L: 5 | OTL: 1 | P: 7
GF: 25 | GA: 36 | PP%: 13.04% | PK%: 76.92%
DG: David Mapp | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #164 vs Wolves
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Centre de jeu
Islanders
3-5-1, 7pts
2
FINAL
7 Comets
6-3-1, 13pts
Team Stats
W1StreakSOL1
2-3-0Home Record4-1-0
1-2-1Away Record2-2-1
3-5-1Last 10 Games6-3-1
2.78Buts par match 4.50
4.00Buts contre par match 4.20
13.04%Pourcentage en avantage numérique25.71%
76.92%Pourcentage en désavantage numérique70.59%
W-B/Scranton Penguins
3-7-0, 6pts
2
FINAL
5 Islanders
3-5-1, 7pts
Team Stats
L2StreakW1
2-3-0Home Record2-3-0
1-4-0Away Record1-2-1
3-7-0Last 10 Games3-5-1
3.10Buts par match 2.78
4.40Buts contre par match 4.00
21.21%Pourcentage en avantage numérique13.04%
80.56%Pourcentage en désavantage numérique76.92%
Wolves
3-5-2, 8pts
2022-08-02
Islanders
3-5-1, 7pts
Statistiques d’équipe
W1SéquenceW1
3-2-0Fiche domicile2-3-0
0-3-2Fiche visiteur1-2-1
3-5-210 derniers matchs3-5-1
3.80Buts par match 2.78
4.60Buts contre par match 4.00
30.00%Pourcentage en avantage numérique13.04%
81.08%Pourcentage en désavantage numérique76.92%
Islanders
3-5-1, 7pts
2022-08-03
Monsters
7-2-1, 15pts
Statistiques d’équipe
W1SéquenceW2
2-3-0Fiche domicile3-2-0
1-2-1Fiche visiteur4-0-1
3-5-110 derniers matchs7-2-1
2.78Buts par match 4.40
4.00Buts contre par match 3.10
13.04%Pourcentage en avantage numérique18.75%
76.92%Pourcentage en désavantage numérique91.30%
Islanders
3-5-1, 7pts
2022-08-04
Wolves
3-5-2, 8pts
Statistiques d’équipe
W1SéquenceW1
2-3-0Fiche domicile3-2-0
1-2-1Fiche visiteur0-3-2
3-5-110 derniers matchs3-5-2
2.78Buts par match 3.80
4.00Buts contre par match 4.60
13.04%Pourcentage en avantage numérique30.00%
76.92%Pourcentage en désavantage numérique81.08%
Meneurs d'équipe
Victoires
Eetu Makiniemi
3
Pourcentage d’arrêts
Pyotr Kochetkov
0.915

Statistiques d’équipe
Buts pour
25
2.78 GFG
Tirs pour
276
30.67 Avg
Pourcentage en avantage numérique
13.0%
3 GF
Début de zone offensive
36.3%
Buts contre
36
4.00 GAA
Tirs contre
349
38.78 Avg
Pourcentage en désavantage numérique
76.9%
12 GA
Début de la zone défensive
45.5%
Information d’équipe

Directeur généralDavid Mapp
EntraîneurChris Nilan
DivisionMETROPOLITAINE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 55
Espoirs17


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
1Logan Brown0X100.008475806496787967756864656366680507302442,421,000$
2Aliaksei Protas0X100.00805292639779836375626163596163050710212883,333$
3Fabian Zetterlund0X100.00663791677688876663686562676365050710231925,000$
4MacKenzie Entwistle0X100.00774582648076816257646166626467050700231894,167$
5Jesse Ylonen0X100.00583682697083846862676364686365050700221925,000$
6Michael Dal Colle0X100.00723888628281706358625961656668050680262814,000$
7Henrik Borgstrom0X100.005837876183787662776064576265670506702532,456,000$
8Trey Fix-Wolansky0X100.00623880646386826364616260636465050670231925,000$
9Serron Noel0X100.00844567579371925856575459556264050670222894,167$
10Jimmy Huntington0X100.006639826075728759686158605964660506602321,768,000$
11William Lockwood0X100.008238765967798157635859625964660506602411,156,250$
12Evan Barratt0X100.00633372567478855766585956586365050650232925,000$
13Ian Mitchell0X100.006335926869818966306762645263650507002321,775,000$
14Gavin Bayreuther0X100.00685176617781766230715964516870050690281750,000$
15David Farrance0X100.005836946270837561306056634862650506602311,350,000$
16Mattias Norlinder0X100.00613687667177656330645861506264050660223925,000$
17Samuel Bolduc0X100.007739825489688354305755594762640506502141,965,000$
18Tyler Tucker0X100.00693466557875815330565351466264050630222803,333$
Rayé
1Gabriel Fortier0X100.00733585566676855764585960636264050650222880,000$
2Alex Beaucage0X100.00673982587681685554565558596163050640213925,000$
3Linus Weissbach0X100.00563784596773856257605853596466050640242925,000$
4Ivan Lodnia0X100.00643786577377665652545553586365050620231871,667$
5Philippe Daoust (R)0X100.00563692566569625568595153576163050600211700,000$
6Reece Newkirk0X100.00613975537069615262545055536163050600213823,333$
7Sebastian AhoD0X100.00706288626270745525554160394444050610261777,000$
MOYENNE D’ÉQUIPE100.0068418361767778605461586057626405066
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
1Eetu Makiniemi100.0074697077737274737274736369050740232925,000$
2Pyotr Kochetkov (R)100.0072737284717072717072716369050730232925,000$
Rayé
1Arturs Silovs100.0068666786676668676668676165050700212796,111$
2Trent Miner100.0069676674686769686769686165050700212828,333$
3Filip Lindberg100.0068666772676668676668676369050690232925,000$
MOYENNE D’ÉQUIPE100.007068687969687069687069626705071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Nilan75757575757575USA6450$


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
1Jesse YlonenIslanders (NYI)RW9651162081642123614.29%216918.81112421000001050.00%1400011.3000000200
2Fabian ZetterlundIslanders (NYI)LW9471162091736111411.11%117519.541128210000100049.41%17000001.2500000021
3MacKenzie EntwistleIslanders (NYI)RW9347-300828374238.11%822024.461017180001400034.88%8600000.6401000100
4Gavin BayreutherIslanders (NYI)D925771601716102820.00%1420522.80011619000035100.00%000000.6800000001
5Logan BrownIslanders (NYI)C9235-61601930306286.67%419221.350114170001311060.48%16700000.5211000000
6Ian MitchellIslanders (NYI)D9055-51202021117160.00%1921824.31011719000041000.00%000000.4600000001
7Trey Fix-WolanskyIslanders (NYI)RW94156807122141419.05%214215.8900000000000050.00%1200000.7000000001
8Michael Dal ColleIslanders (NYI)LW9235-140619253178.00%719221.360002180002390044.59%7400000.5201000010
9Aliaksei ProtasIslanders (NYI)C9224-7601318277187.41%119621.880111190000370061.80%8900000.4100000000
10Henrik BorgstromIslanders (NYI)C9033-4002664140.00%011913.2700001000050041.18%1700000.5000000000
11David FarranceIslanders (NYI)D9033700365130.00%1919021.2100000000041000.00%000000.3100000000
12Samuel BolducIslanders (NYI)D9022-4801555060.00%1016618.52000219000035000.00%000000.2400000000
13Mattias NorlinderIslanders (NYI)D9022-66017510550.00%1116117.960000000001000.00%000000.2500000000
14Tyler TuckerIslanders (NYI)D9011-2601533210.00%314215.82000319000011000.00%000000.1400000000
15William LockwoodIslanders (NYI)RW9000000000010.00%010.190000000000000.00%000000.0000000000
16Serron NoelIslanders (NYI)RW9000-1140281487100.00%313214.6700000000000042.54%18100000.0000000000
Statistiques d’équipe totales ou en moyenne144254671-71000187216276752149.06%104262818.253694419700043323049.38%81000010.5413000334
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
1Eetu MakiniemiIslanders (NYI)93510.8973.8448440313020100.000290100
2Pyotr KochetkovIslanders (NYI)20000.9153.9361004470000.000009000
Statistiques d’équipe totales ou en moyenne113510.9003.8554540353490100.000299100


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex BeaucageIslanders (NYI)RW212001-07-25No192 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Aliaksei ProtasIslanders (NYI)C212001-01-06No225 Lbs6 ft6NoNoNo2Pro & Farm883,333$883,333$883,333$0$0$No883,333$Lien
Arturs SilovsIslanders (NYI)G212001-03-22No203 Lbs6 ft4NoNoNo2Pro & Farm796,111$796,111$796,111$0$0$No796,111$Lien
David FarranceIslanders (NYI)D231999-06-23No189 Lbs5 ft11NoNoNo1Pro & Farm1,350,000$1,350,000$700,000$0$0$NoLien
Eetu MakiniemiIslanders (NYI)G231999-04-19No184 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Evan BarrattIslanders (NYI)C231999-02-18No188 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Fabian ZetterlundIslanders (NYI)LW231999-08-25No220 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$809,169$0$0$NoLien
Filip LindbergIslanders (NYI)G231999-01-31No180 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Gabriel FortierIslanders (NYI)LW222000-02-06No173 Lbs5 ft10NoNoNo2Pro & Farm880,000$880,000$880,000$0$0$No880,000$Lien
Gavin BayreutherIslanders (NYI)D281994-05-12No196 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$650,000$0$0$NoLien
Henrik BorgstromIslanders (NYI)C251997-08-06No199 Lbs6 ft3NoNoNo3Pro & Farm2,456,000$2,456,000$650,000$0$0$No2,456,000$2,456,000$Lien
Ian MitchellIslanders (NYI)D231999-01-18No173 Lbs5 ft11NoNoNo2Pro & Farm1,775,000$1,775,000$1,775,000$0$0$No1,775,000$Lien
Ivan LodniaIslanders (NYI)RW231999-08-31No202 Lbs5 ft11NoNoNo1Pro & Farm871,667$871,667$700,000$0$0$NoLien
Jesse YlonenIslanders (NYI)RW221999-10-03No167 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Jimmy HuntingtonIslanders (NYI)C231998-11-18No204 Lbs6 ft0NoNoNo2Pro & Farm1,768,000$1,768,000$812,500$0$0$No1,768,000$Lien
Linus WeissbachIslanders (NYI)LW241998-04-19No177 Lbs5 ft9NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Logan BrownIslanders (NYI)C241998-03-05No218 Lbs6 ft6NoNoNo4Pro & Farm2,421,000$2,421,000$650,000$0$0$No2,421,000$2,421,000$2,421,000$Lien
MacKenzie EntwistleIslanders (NYI)RW231999-07-14No184 Lbs6 ft3NoNoNo1Pro & Farm894,167$894,167$650,000$0$0$NoLien
Mattias NorlinderIslanders (NYI)D222000-04-12No185 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Michael Dal ColleIslanders (NYI)LW261996-06-20No195 Lbs6 ft3NoNoNo2Pro & Farm814,000$814,000$700,000$0$0$No814,000$Lien
Philippe DaoustIslanders (NYI)C212001-05-11Yes151 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$No
Pyotr KochetkovIslanders (NYI)G231999-06-25Yes205 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$
Reece NewkirkIslanders (NYI)C212001-02-20No178 Lbs6 ft0NoNoNo3Pro & Farm823,333$823,333$700,000$0$0$No823,333$823,333$Lien
Samuel BolducIslanders (NYI)D212000-12-09No213 Lbs6 ft4NoNoNo4Pro & Farm1,965,000$1,965,000$925,000$0$0$No1,965,000$1,965,000$1,965,000$Lien
Sebastian AhoDIslanders (NYI)D261996-02-17No170 Lbs5 ft10NoNoNo1Pro & Farm777,000$777,000$650,000$0$0$NoLien
Serron NoelIslanders (NYI)RW222000-08-08No216 Lbs6 ft5NoNoNo2Pro & Farm894,167$894,167$700,000$0$0$No894,167$Lien
Trent MinerIslanders (NYI)G212001-02-05No185 Lbs6 ft1NoNoNo2Pro & Farm828,333$828,333$828,333$0$0$No828,333$Lien
Trey Fix-WolanskyIslanders (NYI)RW231999-05-26No186 Lbs5 ft7NoNoNo1Pro & Farm925,000$925,000$809,168$0$0$NoLien
Tyler TuckerIslanders (NYI)D222000-03-01No203 Lbs6 ft1NoNoNo2Pro & Farm803,333$803,333$803,333$0$0$No803,333$Lien
William LockwoodIslanders (NYI)RW241998-06-20No172 Lbs5 ft11NoNoNo1Pro & Farm1,156,250$1,156,250$925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3022.90191 Lbs6 ft11.931,095,223$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleSerron NoelMacKenzie Entwistle33023
2Jesse YlonenFabian ZetterlundTrey Fix-Wolansky29023
3Henrik BorgstromLogan BrownAliaksei Protas24023
4Logan BrownAliaksei ProtasMacKenzie Entwistle14023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderIan Mitchell40122
2David FarranceGavin Bayreuther36122
3Samuel BolducTyler Tucker24122
4Ian MitchellGavin Bayreuther0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleLogan BrownMacKenzie Entwistle50122
2Jesse YlonenAliaksei ProtasFabian Zetterlund50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducIan Mitchell50122
2Tyler TuckerGavin Bayreuther50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1MacKenzie EntwistleLogan Brown50122
2Michael Dal ColleAliaksei Protas50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducIan Mitchell50122
2David FarranceGavin Bayreuther50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1MacKenzie Entwistle50122David FarranceIan Mitchell50122
2Logan Brown50122Mattias NorlinderGavin Bayreuther50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1MacKenzie EntwistleLogan Brown50122
2Michael Dal ColleAliaksei Protas50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderIan Mitchell50122
2Samuel BolducGavin Bayreuther50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleLogan BrownMacKenzie EntwistleIan MitchellGavin Bayreuther
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleLogan BrownMacKenzie EntwistleIan MitchellGavin Bayreuther
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
MacKenzie Entwistle, Aliaksei Protas, Logan BrownMacKenzie Entwistle, Aliaksei ProtasMacKenzie Entwistle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Bolduc, Gavin Bayreuther, Ian MitchellSamuel BolducGavin Bayreuther, Ian Mitchell
Tirs de pénalité
MacKenzie Entwistle, Logan Brown, Michael Dal Colle, Jesse Ylonen, Aliaksei Protas
Gardien
#1 : Eetu Makiniemi, #2 : Pyotr Kochetkov
Lignes d’attaque personnalisées en prolongation
MacKenzie Entwistle, Logan Brown, Michael Dal Colle, Jesse Ylonen, Aliaksei Protas, Henrik Borgstrom, Henrik Borgstrom, Trey Fix-Wolansky, Jimmy Huntington, Fabian Zetterlund, Serron Noel
Lignes de défense personnalisées en prolongation
Tyler Tucker, Ian Mitchell, Mattias Norlinder, Gavin Bayreuther, Samuel Bolduc


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
1Bears2020000049-51010000025-31010000024-200.000481200117625682100934902326437114.29%13284.62%016029254.79%16736645.63%7314749.66%2041362246811656
2Comets1010000027-5000000000001010000027-500.00022400117622982100934387626000.00%3233.33%016029254.79%16736645.63%7314749.66%2041362246811656
3Monsters1010000013-21010000013-20000000000000.0001120011762298210093444181625200.00%8187.50%016029254.79%16736645.63%7314749.66%2041362246811656
4Phantoms21001000963110000006421000100032141.000917260011762738210093460211838700.00%9188.89%016029254.79%16736645.63%7314749.66%2041362246811656
5W-B/Scranton Penguins11000000523110000005230000000000021.000510150011762308210093430710203133.33%5260.00%016029254.79%16736645.63%7314749.66%2041362246811656
6Wolf Pack2010000149-51010000026-41000000123-110.250481200117625982100934872828354125.00%14471.43%016029254.79%16736645.63%7314749.66%2041362246811656
Total925010012536-11523000001620-440201001916-770.38925467100117622768210093434910410418723313.04%521276.92%016029254.79%16736645.63%7314749.66%2041362246811656
_Since Last GM Reset925010012536-11523000001620-440201001916-770.38925467100117622768210093434910410418723313.04%521276.92%016029254.79%16736645.63%7314749.66%2041362246811656
_Vs Conference925010012536-11523000001620-440201001916-770.38925467100117622768210093434910410418723313.04%521276.92%016029254.79%16736645.63%7314749.66%2041362246811656
_Vs Division925010012536-11523000001620-440201001916-770.38925467100117622768210093434910410418723313.04%521276.92%016029254.79%16736645.63%7314749.66%2041362246811656

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
97W125467127634910410418700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
92510012536
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001620
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4021001916
Derniers 10 matchs
WLOTWOTL SOWSOL
350001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23313.04%521276.92%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
8210093411762
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
16029254.79%16736645.63%7314749.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2041362246811656


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
2 - 2022-07-1814Bears5Islanders2BLSommaire du match
3 - 2022-07-1927Islanders2Bears4ALSommaire du match
5 - 2022-07-2147Phantoms4Islanders6BWSommaire du match
7 - 2022-07-2362Islanders3Phantoms2AWXSommaire du match
8 - 2022-07-2478Wolf Pack6Islanders2BLSommaire du match
10 - 2022-07-2698Monsters3Islanders1BLSommaire du match
11 - 2022-07-27109Islanders2Wolf Pack3ALXXSommaire du match
12 - 2022-07-28121Islanders2Comets7ALSommaire du match
14 - 2022-07-30139W-B/Scranton Penguins2Islanders5BWSommaire du match
17 - 2022-08-02164Wolves-Islanders-
18 - 2022-08-03171Islanders-Monsters-
19 - 2022-08-04188Islanders-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05201Islanders-W-B/Scranton Penguins-
22 - 2022-08-07218Comets-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,285,669$ 2,374,694$ 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$ 8 0$ 0$




Islanders Leaders statistiques (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


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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 (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