BROOKLYN Wolfpack

GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 17 | GA: 4 | PP%: 50.00% | PK%: 33.33%
DG: Alexandre Vaudreuil | Morale : 99 | Moyenne d'Équipe : 67
Prochain matchs #28 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)RW264107006433101818.18%04924.9203316000001070.00%3011014.0100000200
2Ethan BearBROOKLYN Wolfpack (NYR)D21788001711869.09%45427.051232600000000.00%000002.9600000011
3Scott HarringtonBROOKLYN Wolfpack (NYR)D233680031135323.08%15125.722025700000000.00%001002.3300000011
4Jujhar KhairaBROOKLYN Wolfpack (NYR)LW21341205315376.67%24623.48011130000000100.00%200001.7000000000
5Adam MusilBROOKLYN Wolfpack (NYR)C221310013121816.67%03517.8701123000000088.89%2710001.6800000000
6Kerby RychelBROOKLYN Wolfpack (NYR)LW212320012111169.09%12914.8300001000000042.86%710002.0200000000
7Julius HonkaBROOKLYN Wolfpack (NYR)D21121202411449.09%55025.091017500000100.00%010000.8000000000
8Morgan KlimchukBROOKLYN Wolfpack (NYR)LW210110012103510.00%24321.730003500000000.00%010000.4600000000
Stats d'équipe Total ou en Moyenne1616213729402026116455713.79%1536122.5947112140000032075.76%6652012.0500000222
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)22000.9372.001200146423000.000020000
Stats d'équipe Total ou en Moyenne22000.9372.001200146423000.000020000


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$737,288$750,000$737,288$0$0$NoLien
Andrew HammondBROOKLYN Wolfpack (NYR)G322/11/1988No101 Kg188 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Denis GurianovBROOKLYN Wolfpack (NYR)RW236/7/1997No91 Kg191 CMNoNoNo1Pro & Farm1,500,000$1,474,576$1,500,000$1,474,576$0$0$NoLien
Ethan BearBROOKLYN Wolfpack (NYR)D236/26/1997No90 Kg180 CMNoNoNo1Pro & Farm1,500,000$1,474,576$1,500,000$1,474,576$0$0$NoLien
Joey AndersonBROOKLYN Wolfpack (NYR)RW226/19/1998No86 Kg180 CMNoNoNo4Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$Lien
Jujhar KhairaBROOKLYN Wolfpack (NYR)LW268/13/1994No96 Kg193 CMNoNoNo2Pro & Farm1,200,000$1,179,661$1,200,000$1,179,661$0$0$No1,200,000$Lien
Julius HonkaBROOKLYN Wolfpack (NYR)D2412/3/1995No82 Kg180 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Kerby RychelBROOKLYN Wolfpack (NYR)LW2510/7/1994No97 Kg185 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Mattias JanmarkBROOKLYN Wolfpack (NYR)C/LW2712/8/1992No89 Kg185 CMNoNoNo4Pro & Farm1,800,000$1,769,492$750,000$737,288$0$0$No1,800,000$1,800,000$1,800,000$Lien
Morgan KlimchukBROOKLYN Wolfpack (NYR)LW253/2/1995No84 Kg183 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Nick CousinsBROOKLYN Wolfpack (NYR)C277/20/1993No83 Kg180 CMNoNoNo5Pro & Farm1,250,000$1,228,814$750,000$737,288$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$737,288$750,000$737,288$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 : Andrew Hammond, #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
1TUSCON Roadrunners110000001001011000000100100000000000021.0001018280187206947503302352124125.00%10100.00%0254951.02%244257.14%213953.85%564538132411
Total220000001741311000000100101100000074341.000173047018720130475033064216268450.00%3233.33%0254951.02%244257.14%213953.85%564538132411
2UTICA Comets11000000743000000000001100000074321.0007121900872061475033041164144375.00%220.00%0254951.02%244257.14%213953.85%564538132411
_Since Last GM Reset220000001741311000000100101100000074341.000173047018720130475033064216268450.00%3233.33%0254951.02%244257.14%213953.85%564538132411
_Vs Conference220000001741311000000100101100000074341.000173047018720130475033064216268450.00%3233.33%0254951.02%244257.14%213953.85%564538132411
_Vs Division220000001741311000000100101100000074341.000173047018720130475033064216268450.00%3233.33%0254951.02%244257.14%213953.85%564538132411

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
24W2173047130642162601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2200000174
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1100000100
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000074
Derniers 10 Matchs
WLOTWOTL SOWSOL
200000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8450.00%3233.33%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
47503308720
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
254951.02%244257.14%213953.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
564538132411


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 Wolfpack-PROVIDENCE Bruins-
5 - 2021-01-2143BROOKLYN Wolfpack-SYRACUSE Crunch-
6 - 2021-01-2250HERSEY Bears-BROOKLYN Wolfpack-
7 - 2021-01-2366BROOKLYN Wolfpack-CAROLINA Checkers-
8 - 2021-01-2475TORONTO Marlies-BROOKLYN Wolfpack-
11 - 2021-01-2794UTICA Comets-BROOKLYN Wolfpack-
12 - 2021-01-28100BROOKLYN Wolfpack-GRAND RAPIDS Griffins-
14 - 2021-01-30121TORONTO Marlies-BROOKLYN Wolfpack-
16 - 2021-02-01138PROVIDENCE Bruins-BROOKLYN Wolfpack-
17 - 2021-02-02144BROOKLYN Wolfpack-TUSCON Roadrunners-
19 - 2021-02-04160BROOKLYN Wolfpack-BRIDGEPORT Sound Tigers-
20 - 2021-02-05171BRIDGEPORT Sound Tigers-BROOKLYN Wolfpack-
21 - 2021-02-06188HERSEY Bears-BROOKLYN Wolfpack-
23 - 2021-02-08199BROOKLYN Wolfpack-SAN DIEGO Gulls-
24 - 2021-02-09212BROOKLYN Wolfpack-SAN ANTONIO Rampage-
26 - 2021-02-11223TORONTO Marlies-BROOKLYN Wolfpack-
27 - 2021-02-12238BROOKLYN Wolfpack-ROCKFORD IceHogs-
28 - 2021-02-13247BROOKLYN Wolfpack-BRIDGEPORT Sound Tigers-
30 - 2021-02-15259STOCKTON Flames-BROOKLYN Wolfpack-
31 - 2021-02-16274GRAND RAPIDS Griffins-BROOKLYN Wolfpack-
32 - 2021-02-17290SYRACUSE Crunch-BROOKLYN Wolfpack-
34 - 2021-02-19304BROOKLYN Wolfpack-UTICA Comets-
35 - 2021-02-20310BROOKLYN Wolfpack-IOWA Wild-
37 - 2021-02-22325BROOKLYN Wolfpack-STOCKTON Flames-
38 - 2021-02-23339LAVAL Rocket-BROOKLYN Wolfpack-
40 - 2021-02-25354BROOKLYN Wolfpack-LAVAL Rocket-
41 - 2021-02-26363LAVAL Rocket-BROOKLYN Wolfpack-
42 - 2021-02-27377BROOKLYN Wolfpack-SYRACUSE Crunch-
44 - 2021-03-01388CAROLINA Checkers-BROOKLYN Wolfpack-
45 - 2021-03-02402BROOKLYN Wolfpack-TORONTO Marlies-
47 - 2021-03-04414SAN DIEGO Gulls-BROOKLYN Wolfpack-
48 - 2021-03-05431LEHIGH VALLEY Phantoms-BROOKLYN Wolfpack-
50 - 2021-03-07446BROOKLYN Wolfpack-MILWAUKEE Admirals-
51 - 2021-03-08456BROOKLYN Wolfpack-TUSCON Roadrunners-
52 - 2021-03-09468COLORADO Eagles-BROOKLYN Wolfpack-
54 - 2021-03-11481BRIDGEPORT Sound Tigers-BROOKLYN Wolfpack-
55 - 2021-03-12495BROOKLYN Wolfpack-LEHIGH VALLEY Phantoms-
56 - 2021-03-13510TUSCON Roadrunners-BROOKLYN Wolfpack-
58 - 2021-03-15524BROOKLYN Wolfpack-TORONTO Marlies-
59 - 2021-03-16535SAN ANTONIO Rampage-BROOKLYN Wolfpack-
61 - 2021-03-18551IOWA Wild-BROOKLYN Wolfpack-
62 - 2021-03-19563BROOKLYN Wolfpack-SYRACUSE Crunch-
64 - 2021-03-21577PROVIDENCE Bruins-BROOKLYN Wolfpack-
65 - 2021-03-22586BROOKLYN Wolfpack-CAROLINA Checkers-
66 - 2021-03-23599BROOKLYN Wolfpack-COLORADO Eagles-
68 - 2021-03-25615SAN ANTONIO Rampage-BROOKLYN Wolfpack-
69 - 2021-03-26629BINGHAMTON Devils-BROOKLYN Wolfpack-
70 - 2021-03-27637BROOKLYN Wolfpack-COLORADO Eagles-
73 - 2021-03-30656BELLEVILLE Senators-BROOKLYN Wolfpack-
74 - 2021-03-31667BROOKLYN Wolfpack-BELLEVILLE Senators-
76 - 2021-04-02681BROOKLYN Wolfpack-GRAND RAPIDS Griffins-
77 - 2021-04-03693SCRANTON Penguins-BROOKLYN Wolfpack-
78 - 2021-04-04703BROOKLYN Wolfpack-BAKERSFIELD Condors-
80 - 2021-04-06718ROCKFORD IceHogs-BROOKLYN Wolfpack-
81 - 2021-04-07734HERSEY Bears-BROOKLYN Wolfpack-
82 - 2021-04-08737BROOKLYN Wolfpack-ONTARIO Reign-
84 - 2021-04-10757BROOKLYN Wolfpack-SAN DIEGO Gulls-
86 - 2021-04-12770BINGHAMTON Devils-BROOKLYN Wolfpack-
87 - 2021-04-13779BROOKLYN Wolfpack-MANITOBA Moose-
88 - 2021-04-14795TUSCON Roadrunners-BROOKLYN Wolfpack-
90 - 2021-04-16806BROOKLYN Wolfpack-SCRANTON Penguins-
92 - 2021-04-18821CHICAGO Wolves-BROOKLYN Wolfpack-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19824BROOKLYN Wolfpack-HERSEY Bears-
94 - 2021-04-20845BROOKLYN Wolfpack-HERSEY Bears-
95 - 2021-04-21854ONTARIO Reign-BROOKLYN Wolfpack-
97 - 2021-04-23874MILWAUKEE Admirals-BROOKLYN Wolfpack-
98 - 2021-04-24882BROOKLYN Wolfpack-BINGHAMTON Devils-
100 - 2021-04-26901BAKERSFIELD Condors-BROOKLYN Wolfpack-
101 - 2021-04-27911BROOKLYN Wolfpack-CHICAGO Wolves-
102 - 2021-04-28921BROOKLYN Wolfpack-PROVIDENCE Bruins-
104 - 2021-04-30934ROCKFORD IceHogs-BROOKLYN Wolfpack-
106 - 2021-05-02951MILWAUKEE Admirals-BROOKLYN Wolfpack-
107 - 2021-05-03956BROOKLYN Wolfpack-UTICA Comets-
109 - 2021-05-05978UTICA Comets-BROOKLYN Wolfpack-
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
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
20,127$ 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$ 20,127$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 116 10,593$ 1,228,788$




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
3622000000174131100000010010110000007434173047018720130475033064216268450.00%3233.33%0254951.02%244257.14%213953.85%564538132411
Total Saison Régulière16268600121066497442558133320264424222220813528010422255220351884978581355491941731122445861541152614471204538137972822065748614.98%3115881.35%02625482754.38%2478496249.94%1389248955.81%404628903736111920301044
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