BROOKLYN Wolfpack
GP: 76 | W: 33 | L: 41 | OTL: 2 | P: 68
GF: 244 | GA: 280 | PP%: 22.57% | PK%: 73.60%
DG: Alexandre Vaudreuil | Morale : 99 | Moyenne d'Équipe : 67
Prochain matchs #990 vs PROVIDENCE Bruins
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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
1Mattias Janmark0XX100.0053398770768285686469617471756853997102741,800,000$
2Nick Cousins0X100.0080398068697487667570626869736756997102751,250,000$
3Denis Gurianov0X100.0073458770837877695462735972656784997102311,500,000$
4Jujhar Khaira0X100.0086587464897382625963586962716764997002621,200,000$
5Morgan Klimchuk0X100.005745866071828059525558566068657699640251750,000$
6Joey Anderson0X100.005939816270747361576059636163626699640224750,000$
7Kerby Rychel0X100.005635677080505170506666506652518099610251750,000$
8Adam Musil0X100.005789685984505059705454505450504499560231750,000$
9Scott Harrington0X100.007345846381748062307355695073675799700271750,000$
10Ethan Bear0X100.0062418466728875643071597452656458997002311,500,000$
11Julius Honka0X100.006235756368746463306255676453518299630241750,000$
Rayé
MOYENNE D'ÉQUIPE100.00654679657773736452646064626462659966
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 SP
1Andrew Hammond100.00738280857271737271737280865399680
Rayé
MOYENNE D'ÉQUIPE100.0073828085727173727173728086539968
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure62626262666672RUS502300,000$


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
1Denis GurianovBROOKLYN Wolfpack (NYR)RW767845123-7611530617659316342813.15%52194525.60815237018721378312154.24%1027110111.26011111871
2Julius HonkaBROOKLYN Wolfpack (NYR)D76257499-206401771042046411212.25%215186424.549122182157101173600.00%010001.0600000486
3Ethan BearBROOKLYN Wolfpack (NYR)D76197190-2120102126163419411.66%175201826.56111324751880220100300.00%000000.8900000335
4Jujhar KhairaBROOKLYN Wolfpack (NYR)LW76374582-18402831084111002699.00%53170922.5051318391370002352352.07%12100030.9611000454
5Scott HarringtonBROOKLYN Wolfpack (NYR)D76175168-446015590121357314.05%119182424.015131860181000075110.00%001000.7500000032
6Adam MusilBROOKLYN Wolfpack (NYR)C76213455-680381261886014311.17%21129817.09381123142000004062.19%127210000.8500000110
7Morgan KlimchukBROOKLYN Wolfpack (NYR)LW76193554-1316090601755811910.86%85148419.538101869173000003083.33%1810000.7300000014
8Kerby RychelBROOKLYN Wolfpack (NYR)LW76241842-23806164270781508.89%34115115.161341337000001250.85%11810020.7300000034
Stats d'équipe Total ou en Moyenne608240373613-762991512128542125599138811.29%7541329721.87508713743112063361036732758.14%2556520160.9212111303126
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
1Andrew HammondBROOKLYN Wolfpack (NYR)59312620.9262.453556104145194723401.0004590742
Stats d'équipe Total ou en Moyenne59312620.9262.453556104145194723401.0004590742


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 MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam MusilBROOKLYN Wolfpack (NYR)C233/26/1997No92 Kg191 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Andrew HammondBROOKLYN Wolfpack (NYR)G322/11/1988No101 Kg188 CMNoNoNo2Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$Lien
Denis GurianovBROOKLYN Wolfpack (NYR)RW236/7/1997No91 Kg191 CMNoNoNo1Pro & Farm1,500,000$114,407$1,500,000$114,407$0$0$NoLien
Ethan BearBROOKLYN Wolfpack (NYR)D236/26/1997No90 Kg180 CMNoNoNo1Pro & Farm1,500,000$114,407$1,500,000$114,407$0$0$NoLien
Joey AndersonBROOKLYN Wolfpack (NYR)RW226/19/1998No86 Kg180 CMNoNoNo4Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$750,000$Lien
Jujhar KhairaBROOKLYN Wolfpack (NYR)LW268/13/1994No96 Kg193 CMNoNoNo2Pro & Farm1,200,000$91,525$1,200,000$91,525$0$0$No1,200,000$Lien
Julius HonkaBROOKLYN Wolfpack (NYR)D2412/3/1995No82 Kg180 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Kerby RychelBROOKLYN Wolfpack (NYR)LW2510/7/1994No97 Kg185 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Mattias JanmarkBROOKLYN Wolfpack (NYR)C/LW2712/8/1992No89 Kg185 CMNoNoNo4Pro & Farm1,800,000$137,288$750,000$57,203$0$0$No1,800,000$1,800,000$1,800,000$Lien
Morgan KlimchukBROOKLYN Wolfpack (NYR)LW253/2/1995No84 Kg183 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Nick CousinsBROOKLYN Wolfpack (NYR)C277/20/1993No83 Kg180 CMNoNoNo5Pro & Farm1,250,000$95,339$750,000$57,203$0$0$No1,250,000$1,250,000$1,250,000$1,250,000$Lien
Scott HarringtonBROOKLYN Wolfpack (NYR)D273/10/1993No93 Kg188 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1225.3390 Kg185 CM2.001,041,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis Gurianov31122
2Jujhar KhairaAdam Musil26122
3Morgan KlimchukDenis Gurianov23122
4Kerby RychelJujhar Khaira20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington31122
2Julius HonkaMorgan Klimchuk26122
3Ethan BearScott Harrington23122
4Julius Honka20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis Gurianov55122
2Jujhar KhairaAdam Musil45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington55122
2Julius HonkaMorgan Klimchuk45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Denis Gurianov55122
2Jujhar Khaira45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington55122
2Julius Honka45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Denis Gurianov55122Ethan BearScott Harrington55122
245122Julius Honka45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Denis Gurianov55122
2Jujhar Khaira45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington55122
2Julius Honka45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis GurianovEthan BearScott Harrington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis GurianovEthan BearScott Harrington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kerby Rychel, Adam Musil, Kerby Rychel, Adam Musil
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ethan Bear, Scott Harrington, Julius HonkaEthan BearScott Harrington, Julius Honka
Tirs de Pénalité
Denis Gurianov, , , Jujhar Khaira,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
Denis Gurianov, , , Jujhar Khaira, , Morgan Klimchuk, Morgan Klimchuk, Kerby Rychel, Adam Musil, ,
Lignes de Défense Perso. en Prol.
Ethan Bear, Scott Harrington, Julius Honka, ,


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
LigueDomicileVisiteur
# 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
1BAKERSFIELD Condors220000001911811000000918110000001001041.0001933520111667565113757805676133362364250.00%10100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
2BELLEVILLE Senators2200000017314110000009271100000081741.000172239001166756573757805676135415645100.00%20100.00%2731202936.03%779232433.52%439120036.58%179113231932481852419
3BINGHAMTON Devils30300000320-1720200000210-810100000110-900.0003470011667565727578056761310828852600.00%3166.67%0731202936.03%779232433.52%439120036.58%179113231932481852419
4BRIDGEPORT Sound Tigers41300000410-62110000045-12020000005-520.250471100116675657875780567613127478481300.00%20100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
5CAROLINA Checkers330000002642211000000927220000001721561.000264975001166756514075780567613641712436583.33%50100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
6CHICAGO Wolves20200000315-121010000028-61010000017-600.00035800116675655375780567613682410266233.33%50100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
7COLORADO Eagles3120000058-3110000002112020000037-420.3335813001166756565757805676131002266814214.29%3166.67%0731202936.03%779232433.52%439120036.58%179113231932481852419
8GRAND RAPIDS Griffins3120000089-11010000034-12110000055020.333815230011667565667578056761312246135011327.27%4175.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
9HERSEY Bears50500000729-2230300000310-720200000419-1500.00071219001166756514675780567613214652281700.00%10640.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
10IOWA Wild21000010532110000002111000001032141.00058130011667565627578056761357278343133.33%4175.00%1731202936.03%779232433.52%439120036.58%179113231932481852419
11LAVAL Rocket31200000510-52020000039-61100000021120.3335813001166756551757805676131294115549333.33%3233.33%0731202936.03%779232433.52%439120036.58%179113231932481852419
12LEHIGH VALLEY Phantoms2010010025-31000010012-11010000013-210.25023500116675654575780567613812610401417.14%30100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
13MANITOBA Moose10100000310-70000000000010100000310-700.000369001166756524757805676134817728200.00%110.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
14MILWAUKEE Admirals30300000121-2020200000118-171010000003-300.00012300116675655675780567613126311035400.00%4175.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
15ONTARIO Reign20200000213-111010000008-81010000025-300.000224001166756553757805676131032316323133.33%8450.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
16PROVIDENCE Bruins41201000715-82010100056-12110000029-740.500713200111667565897578056761317239205311327.27%8187.50%0731202936.03%779232433.52%439120036.58%179113231932481852419
17ROCKFORD IceHogs330000002111102200000014771100000074361.0002137580011667565947578056761399408335240.00%3233.33%0731202936.03%779232433.52%439120036.58%179113231932481852419
18SAN ANTONIO Rampage3300000018992200000010641100000083561.00018304800116675659375780567613842312453133.33%50100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
19SAN DIEGO Gulls33000000293261100000012012220000001731461.00029518001116675651767578056761334114614125.00%20100.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
20SCRANTON Penguins20100100212-101000010012-110100000110-910.25024600116675654575780567613922914414125.00%5260.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
21STOCKTON Flames21100000761110000005321010000023-120.5007121900116675656475780567613772263613323.08%3233.33%0731202936.03%779232433.52%439120036.58%179113231932481852419
22SYRACUSE Crunch4030100059-41010000013-23020100046-220.250510150011667565937578056761314839125521314.29%5180.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
23TORONTO Marlies53101000191093200100016792110000033080.8001931500011667565197757805676131464044139211047.62%20290.00%0731202936.03%779232433.52%439120036.58%179113231932481852419
24TUSCON Roadrunners514000001420-6312000001210220200000210-820.2001426400111667565164757805676131705024552129.52%9366.67%0731202936.03%779232433.52%439120036.58%179113231932481852419
25UTICA Comets513010001224-122020000008-8311010001216-440.40012213300116675651357578056761323282147320525.00%7271.43%0731202936.03%779232433.52%439120036.58%179113231932481852419
Total76284104210244280-3638151902200126133-738132202010118147-29680.4472444196630411667565224775780567613268881031112632265122.57%1253373.60%3731202936.03%779232433.52%439120036.58%179113231932481852419
_Since Last GM Reset76284104210244280-3638151902200126133-738132202010118147-29680.4472444196630411667565224775780567613268881031112632265122.57%1253373.60%3731202936.03%779232433.52%439120036.58%179113231932481852419
_Vs Conference46182503000142170-28251013020008287-521812010006083-23420.457142246388031166756513447578056761316334911877451322921.97%762073.68%0731202936.03%779232433.52%439120036.58%179113231932481852419
_Vs Division1961503000836716938020003830810370100045378180.4748314522803116675657057578056761364919466293651421.54%301163.33%0731202936.03%779232433.52%439120036.58%179113231932481852419

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7668L324441966322472688810311126304
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7628414210244280
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3815192200126133
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3813222010118147
Derniers 10 Matchs
WLOTWOTL SOWSOL
280000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2265122.57%1253373.60%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
7578056761311667565
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
731202936.03%779232433.52%439120036.58%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
179113231932481852419


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2021-01-1710BROOKLYN Wolfpack7UTICA Comets4WSommaire du Match
2 - 2021-01-1817TUSCON Roadrunners0BROOKLYN Wolfpack10WSommaire du Match
3 - 2021-01-1928BROOKLYN Wolfpack1PROVIDENCE Bruins0WSommaire du Match
5 - 2021-01-2143BROOKLYN Wolfpack3SYRACUSE Crunch2WXSommaire du Match
6 - 2021-01-2250HERSEY Bears4BROOKLYN Wolfpack1LSommaire du Match
7 - 2021-01-2366BROOKLYN Wolfpack8CAROLINA Checkers1WSommaire du Match
8 - 2021-01-2475TORONTO Marlies1BROOKLYN Wolfpack2WR3Sommaire du Match
11 - 2021-01-2794UTICA Comets2BROOKLYN Wolfpack0LSommaire du Match
12 - 2021-01-28100BROOKLYN Wolfpack1GRAND RAPIDS Griffins3LSommaire du Match
14 - 2021-01-30121TORONTO Marlies3BROOKLYN Wolfpack4WXR3Sommaire du Match
16 - 2021-02-01138PROVIDENCE Bruins3BROOKLYN Wolfpack1LSommaire du Match
17 - 2021-02-02144BROOKLYN Wolfpack1TUSCON Roadrunners5LSommaire du Match
19 - 2021-02-04160BROOKLYN Wolfpack0BRIDGEPORT Sound Tigers2LSommaire du Match
20 - 2021-02-05171BRIDGEPORT Sound Tigers1BROOKLYN Wolfpack2WSommaire du Match
21 - 2021-02-06188HERSEY Bears3BROOKLYN Wolfpack2LSommaire du Match
23 - 2021-02-08199BROOKLYN Wolfpack10SAN DIEGO Gulls2WSommaire du Match
24 - 2021-02-09212BROOKLYN Wolfpack8SAN ANTONIO Rampage3WSommaire du Match
26 - 2021-02-11223TORONTO Marlies3BROOKLYN Wolfpack10WR3Sommaire du Match
27 - 2021-02-12238BROOKLYN Wolfpack7ROCKFORD IceHogs4WSommaire du Match
28 - 2021-02-13247BROOKLYN Wolfpack0BRIDGEPORT Sound Tigers3LSommaire du Match
30 - 2021-02-15259STOCKTON Flames3BROOKLYN Wolfpack5WSommaire du Match
31 - 2021-02-16274GRAND RAPIDS Griffins4BROOKLYN Wolfpack3LSommaire du Match
32 - 2021-02-17290SYRACUSE Crunch3BROOKLYN Wolfpack1LSommaire du Match
34 - 2021-02-19304BROOKLYN Wolfpack3UTICA Comets2WXSommaire du Match
35 - 2021-02-20310BROOKLYN Wolfpack3IOWA Wild2WXXSommaire du Match
37 - 2021-02-22325BROOKLYN Wolfpack2STOCKTON Flames3LSommaire du Match
38 - 2021-02-23339LAVAL Rocket5BROOKLYN Wolfpack1LSommaire du Match
40 - 2021-02-25354BROOKLYN Wolfpack2LAVAL Rocket1WSommaire du Match
41 - 2021-02-26363LAVAL Rocket4BROOKLYN Wolfpack2LSommaire du Match
42 - 2021-02-27377BROOKLYN Wolfpack1SYRACUSE Crunch3LSommaire du Match
44 - 2021-03-01388CAROLINA Checkers2BROOKLYN Wolfpack9WSommaire du Match
45 - 2021-03-02402BROOKLYN Wolfpack2TORONTO Marlies1WR3Sommaire du Match
47 - 2021-03-04414SAN DIEGO Gulls0BROOKLYN Wolfpack12WSommaire du Match
48 - 2021-03-05431LEHIGH VALLEY Phantoms2BROOKLYN Wolfpack1LXR3Sommaire du Match
50 - 2021-03-07446BROOKLYN Wolfpack0MILWAUKEE Admirals3LSommaire du Match
51 - 2021-03-08456BROOKLYN Wolfpack1TUSCON Roadrunners5LSommaire du Match
52 - 2021-03-09468COLORADO Eagles1BROOKLYN Wolfpack2WSommaire du Match
54 - 2021-03-11481BRIDGEPORT Sound Tigers4BROOKLYN Wolfpack2LSommaire du Match
55 - 2021-03-12495BROOKLYN Wolfpack1LEHIGH VALLEY Phantoms3LR3Sommaire du Match
56 - 2021-03-13510TUSCON Roadrunners3BROOKLYN Wolfpack1LSommaire du Match
58 - 2021-03-15524BROOKLYN Wolfpack1TORONTO Marlies2LR3Sommaire du Match
59 - 2021-03-16535SAN ANTONIO Rampage4BROOKLYN Wolfpack7WSommaire du Match
61 - 2021-03-18551IOWA Wild1BROOKLYN Wolfpack2WSommaire du Match
62 - 2021-03-19563BROOKLYN Wolfpack0SYRACUSE Crunch1LSommaire du Match
64 - 2021-03-21577PROVIDENCE Bruins3BROOKLYN Wolfpack4WXSommaire du Match
65 - 2021-03-22586BROOKLYN Wolfpack9CAROLINA Checkers1WSommaire du Match
66 - 2021-03-23599BROOKLYN Wolfpack2COLORADO Eagles4LSommaire du Match
68 - 2021-03-25615SAN ANTONIO Rampage2BROOKLYN Wolfpack3WSommaire du Match
69 - 2021-03-26629BINGHAMTON Devils3BROOKLYN Wolfpack1LSommaire du Match
70 - 2021-03-27637BROOKLYN Wolfpack1COLORADO Eagles3LSommaire du Match
73 - 2021-03-30656BELLEVILLE Senators2BROOKLYN Wolfpack9WSommaire du Match
74 - 2021-03-31667BROOKLYN Wolfpack8BELLEVILLE Senators1WSommaire du Match
76 - 2021-04-02681BROOKLYN Wolfpack4GRAND RAPIDS Griffins2WSommaire du Match
77 - 2021-04-03693SCRANTON Penguins2BROOKLYN Wolfpack1LXSommaire du Match
78 - 2021-04-04703BROOKLYN Wolfpack10BAKERSFIELD Condors0WSommaire du Match
80 - 2021-04-06718ROCKFORD IceHogs2BROOKLYN Wolfpack6WSommaire du Match
81 - 2021-04-07734HERSEY Bears3BROOKLYN Wolfpack0LSommaire du Match
82 - 2021-04-08737BROOKLYN Wolfpack2ONTARIO Reign5LSommaire du Match
84 - 2021-04-10757BROOKLYN Wolfpack7SAN DIEGO Gulls1WSommaire du Match
86 - 2021-04-12770BINGHAMTON Devils7BROOKLYN Wolfpack1LSommaire du Match
87 - 2021-04-13779BROOKLYN Wolfpack3MANITOBA Moose10LR3Sommaire du Match
88 - 2021-04-14795TUSCON Roadrunners7BROOKLYN Wolfpack1LSommaire du Match
90 - 2021-04-16806BROOKLYN Wolfpack1SCRANTON Penguins10LSommaire du Match
92 - 2021-04-18821CHICAGO Wolves8BROOKLYN Wolfpack2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19824BROOKLYN Wolfpack1HERSEY Bears9LSommaire du Match
94 - 2021-04-20845BROOKLYN Wolfpack3HERSEY Bears10LSommaire du Match
95 - 2021-04-21854ONTARIO Reign8BROOKLYN Wolfpack0LSommaire du Match
97 - 2021-04-23874MILWAUKEE Admirals10BROOKLYN Wolfpack0LSommaire du Match
98 - 2021-04-24882BROOKLYN Wolfpack1BINGHAMTON Devils10LSommaire du Match
100 - 2021-04-26901BAKERSFIELD Condors1BROOKLYN Wolfpack9WSommaire du Match
101 - 2021-04-27911BROOKLYN Wolfpack1CHICAGO Wolves7LSommaire du Match
102 - 2021-04-28921BROOKLYN Wolfpack1PROVIDENCE Bruins9LSommaire du Match
104 - 2021-04-30934ROCKFORD IceHogs5BROOKLYN Wolfpack8WSommaire du Match
106 - 2021-05-02951MILWAUKEE Admirals8BROOKLYN Wolfpack1LSommaire du Match
107 - 2021-05-03956BROOKLYN Wolfpack2UTICA Comets10LSommaire du Match
109 - 2021-05-05978UTICA Comets6BROOKLYN Wolfpack0LSommaire du Match
111 - 2021-05-07990BROOKLYN Wolfpack-PROVIDENCE Bruins-
113 - 2021-05-091008UTICA Comets-BROOKLYN Wolfpack-
114 - 2021-05-101021BROOKLYN Wolfpack-GRAND RAPIDS Griffins-
116 - 2021-05-121035MANITOBA Moose-BROOKLYN Wolfpack-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,153,578$ 1,250,000$ 1,095,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,153,578$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 9 10,593$ 95,337$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
3480333006533240219214016160132211611154017140521112410816922404146542493835512222874773870760223767936110902834114.49%1542881.82%01300238954.42%1227246049.88%684122555.84%1994142218495521002516
3480333006533240219214016160132211611154017140521112410816922404146542493835512222874773870760223767936110902834114.49%1542881.82%01300238954.42%1227246049.88%684122555.84%1994142218495521002516
3676284104210244280-3638151902200126133-738132202010118147-29682444196630411667565224775780567613268881031112632265122.57%1253373.60%3731202936.03%779232433.52%439120036.58%179113231932481852419
Total Saison Régulière236941010161276724718611847510484435835531184750012432366363325272412471971412302233166296703225122812090133716221681033344379213316.79%4338979.45%33331680748.93%3233724444.63%1807365049.51%578041685631158628581452
Séries
34734000001117-63210000054141300000613-76112132005222144543639152225636972428.33%17382.35%09118648.92%10124840.73%5212142.98%157105197569244
Total Séries734000001117-63210000054141300000613-76112132005222144543639152225636972428.33%17382.35%09118648.92%10124840.73%5212142.98%157105197569244