BROOKLYN Wolfpack

GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 0 | GA: 22 | PP%: 0.00% | PK%: 0.00%
DG: Alexandre Vaudreuil | Morale : 98 | Moyenne d'Équipe : 61
Prochain matchs #31 vs SAN DIEGO Gulls
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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 SP
1Nick Cousins0X100.007241706869829467777064606660536399690
2Jujhar Khaira0X100.007950686789807366717062686456526599690
3Joey Anderson (R)0X100.006535756470726763646161656251506699630
4Kerby Rychel0X100.005635677080505170506666506652518099610
5Morgan Klimchuk0X100.005089656571505065505959505950507899570
6Adam Musil0X100.005789685984505059705454505450504499560
7Scott Harrington0X100.006741736682738665306558716756526799680
8Julius Honka0X100.006235756368746463306255676453518299630
9Matt Roy (R)0X100.006035736977616268305653606551504899610
10Andrei Mironov (R)0X100.005943765376535360304640735950506099560
11Ethan Bear0X100.005289657074505070305045545551505999560
12Brandon Gormley0X100.005335726474464347303229594862526398500
Rayé
MOYENNE D'ÉQUIPE100.00615171657662626447585461615451659961
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 Hammond100.00776594837675777675767154663499670
Rayé
MOYENNE D'ÉQUIPE100.0077659483767577767576715466349967
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure60606060666676RUS492150,000$


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
1Brandon GormleyBROOKLYN Wolfpack (NYR)D2000-700121000.00%103316.730000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne2000-700121000.00%103316.730000000000000.00%000000.0000000000
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'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)C221997-03-26No92 Kg191 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Andrei MironovBROOKLYN Wolfpack (NYR)D251994-07-29Yes88 Kg191 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Andrew HammondBROOKLYN Wolfpack (NYR)G311988-02-11No98 Kg188 CMNoNoNo4Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$750,000$Lien
Brandon GormleyBROOKLYN Wolfpack (NYR)D271992-02-18No89 Kg188 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$No
Ethan BearBROOKLYN Wolfpack (NYR)D221997-06-26No95 Kg180 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Joey AndersonBROOKLYN Wolfpack (NYR)RW211998-06-19Yes86 Kg180 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Jujhar KhairaBROOKLYN Wolfpack (NYR)LW251994-08-13No96 Kg193 CMNoNoNo4Pro & Farm1,200,000$1,178,378$1,200,000$1,178,378$0$0$No1,200,000$1,200,000$1,200,000$Lien
Julius HonkaBROOKLYN Wolfpack (NYR)D231995-12-03No82 Kg180 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Kerby RychelBROOKLYN Wolfpack (NYR)LW241994-10-07No97 Kg185 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Matt RoyBROOKLYN Wolfpack (NYR)D241995-03-01Yes91 Kg185 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Morgan KlimchukBROOKLYN Wolfpack (NYR)LW241995-03-02No84 Kg183 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Nick CousinsBROOKLYN Wolfpack (NYR)C261993-07-20No84 Kg180 CMNoNoNo2Pro & Farm950,000$932,882$950,000$932,882$0$0$No950,000$Lien
Scott HarringtonBROOKLYN Wolfpack (NYR)D261993-03-10No94 Kg188 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1324.6290 Kg185 CM2.31800,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
226122
323122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
2Brandon Gormley26122
323122
4Brandon Gormley20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Brandon Gormley45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Brandon Gormley45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Brandon Gormley45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Brandon Gormley45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , Brandon Gormley,


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
1COLORADO Eagles20200000022-2210100000011-1110100000011-1100.000000000000623101613809700.00%000.00%00150.00%6698.70%3348.82%849513163
Total20200000022-2210100000011-1110100000011-1100.000000000000623101613809700.00%000.00%00150.00%6698.70%3348.82%849513163
_Since Last GM Reset20200000022-2210100000011-1110100000011-1100.000000000000623101613809700.00%000.00%00150.00%6698.70%3348.82%849513163
_Vs Conference20200000022-2210100000011-1110100000011-1100.000000000000623101613809700.00%000.00%00150.00%6698.70%3348.82%849513163

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
20L20006161380900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2020000022
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1010000011
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1010000011
Derniers 10 Matchs
WLOTWOTL SOWSOL
020000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
700.00%000.00%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
23100000
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
0150.00%6698.70%3348.82%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
849513163


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 - 2020-01-155BROOKLYN Wolfpack0COLORADO Eagles11LSommaire du Match
2 - 2020-01-1618COLORADO Eagles11BROOKLYN Wolfpack0LSommaire du Match
3 - 2020-01-1731SAN DIEGO Gulls-BROOKLYN Wolfpack-
4 - 2020-01-1845BROOKLYN Wolfpack-MONT-LAURIER Sommet-
5 - 2020-01-1956Binghampton Devils-BROOKLYN Wolfpack-
7 - 2020-01-2171BROOKLYN Wolfpack-ROCKFORD IceHogs-
9 - 2020-01-2389ROCKFORD IceHogs-BROOKLYN Wolfpack-
11 - 2020-01-2593BROOKLYN Wolfpack-MILWAUKEE Admirals-
13 - 2020-01-27111BROOKLYN Wolfpack-MONT-LAURIER Sommet-
15 - 2020-01-29118PROVIDENCE Bruins-BROOKLYN Wolfpack-
17 - 2020-01-31139BROOKLYN Wolfpack-TUSCON Roadrunners-
18 - 2020-02-01144BROOKLYN Wolfpack-BRIDGEPORT Sound Tigers-
20 - 2020-02-03154TUSCON Roadrunners-BROOKLYN Wolfpack-
22 - 2020-02-05176LAVAL Rockets-BROOKLYN Wolfpack-
24 - 2020-02-07190COLORADO Eagles-BROOKLYN Wolfpack-
25 - 2020-02-08202BROOKLYN Wolfpack-HERSEY Bears-
26 - 2020-02-09216BROOKLYN Wolfpack-Manitoba Moose-
27 - 2020-02-10228MONT-LAURIER Sommet-BROOKLYN Wolfpack-
28 - 2020-02-11242BROOKLYN Wolfpack-IOWA Wild-
29 - 2020-02-12254CHICAGO Wolves-BROOKLYN Wolfpack-
31 - 2020-02-14268BROOKLYN Wolfpack-HERSEY Bears-
32 - 2020-02-15280CORNWALL Aces-BROOKLYN Wolfpack-
33 - 2020-02-16293BROOKLYN Wolfpack-UTICA Comets-
35 - 2020-02-18305HERSEY Bears-BROOKLYN Wolfpack-
36 - 2020-02-19319BROOKLYN Wolfpack-COLORADO Eagles-
37 - 2020-02-20330COLORADO Eagles-BROOKLYN Wolfpack-
38 - 2020-02-21345BROOKLYN Wolfpack-COLORADO Eagles-
40 - 2020-02-23358Manitoba Moose-BROOKLYN Wolfpack-
41 - 2020-02-24372LAVAL Rockets-BROOKLYN Wolfpack-
44 - 2020-02-27394BROOKLYN Wolfpack-ROCKFORD IceHogs-
45 - 2020-02-28407HERSEY Bears-BROOKLYN Wolfpack-
46 - 2020-02-29423WILKIES-BARRIE Penguins-BROOKLYN Wolfpack-
47 - 2020-03-01434BROOKLYN Wolfpack-Marlies de Toronto-
48 - 2020-03-02446TUSCON Roadrunners-BROOKLYN Wolfpack-
49 - 2020-03-03459BROOKLYN Wolfpack-MONT-LAURIER Sommet-
51 - 2020-03-05472Marlies de Toronto-BROOKLYN Wolfpack-
52 - 2020-03-06485BROOKLYN Wolfpack-Marlies de Toronto-
54 - 2020-03-08499PV Sharapovas-BROOKLYN Wolfpack-
56 - 2020-03-10513BROOKLYN Wolfpack-TUSCON Roadrunners-
57 - 2020-03-11523BROOKLYN Wolfpack-Syracruse Crunch-
58 - 2020-03-12533MILWAUKEE Admirals-BROOKLYN Wolfpack-
59 - 2020-03-13550BROOKLYN Wolfpack-VICTORIAVILLE Tigres-
60 - 2020-03-14559HOLLYWOOD Oscar-BROOKLYN Wolfpack-
62 - 2020-03-16578ROCKFORD IceHogs-BROOKLYN Wolfpack-
63 - 2020-03-17593BROOKLYN Wolfpack-LAVAL Rockets-
64 - 2020-03-18602BRIDGEPORT Sound Tigers-BROOKLYN Wolfpack-
65 - 2020-03-19617BROOKLYN Wolfpack-MILWAUKEE Admirals-
66 - 2020-03-20628VICTORIAVILLE Tigres-BROOKLYN Wolfpack-
68 - 2020-03-22647BELLEVILLE Senators-BROOKLYN Wolfpack-
69 - 2020-03-23662BROOKLYN Wolfpack-PROVIDENCE Bruins-
70 - 2020-03-24668BROOKLYN Wolfpack-BELLEVILLE Senators-
71 - 2020-03-25681Marlies de Toronto-BROOKLYN Wolfpack-
73 - 2020-03-27699BROOKLYN Wolfpack-LAVAL Rockets-
74 - 2020-03-28707CHICAGO Wolves-BROOKLYN Wolfpack-
75 - 2020-03-29725BROOKLYN Wolfpack-Binghampton Devils-
76 - 2020-03-30733IOWA Wild-BROOKLYN Wolfpack-
77 - 2020-03-31744BROOKLYN Wolfpack-SAN DIEGO Gulls-
78 - 2020-04-01759SAN DIEGO Gulls-BROOKLYN Wolfpack-
79 - 2020-04-02769BROOKLYN Wolfpack-UTICA Comets-
80 - 2020-04-03785SAN DIEGO Gulls-BROOKLYN Wolfpack-
82 - 2020-04-05799BROOKLYN Wolfpack-SAN DIEGO Gulls-
83 - 2020-04-06807BROOKLYN Wolfpack-STOCKTON Flames-
84 - 2020-04-07819PROVIDENCE Bruins-BROOKLYN Wolfpack-
85 - 2020-04-08837Syracruse Crunch-BROOKLYN Wolfpack-
87 - 2020-04-10850BROOKLYN Wolfpack-LEHIGH VALLEY Phantoms-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11863Binghampton Devils-BROOKLYN Wolfpack-
89 - 2020-04-12877BROOKLYN Wolfpack-PROVIDENCE Bruins-
90 - 2020-04-13888LEHIGH VALLEY Phantoms-BROOKLYN Wolfpack-
91 - 2020-04-14895BROOKLYN Wolfpack-WILKIES-BARRIE Penguins-
92 - 2020-04-15907BROOKLYN Wolfpack-HOLLYWOOD Oscar-
93 - 2020-04-16924UTICA Comets-BROOKLYN Wolfpack-
94 - 2020-04-17935BROOKLYN Wolfpack-CHICAGO Wolves-
96 - 2020-04-19947MILWAUKEE Admirals-BROOKLYN Wolfpack-
97 - 2020-04-20966Binghampton Devils-BROOKLYN Wolfpack-
98 - 2020-04-21974BROOKLYN Wolfpack-CORNWALL Aces-
99 - 2020-04-22988BROOKLYN Wolfpack-CHICAGO Wolves-
100 - 2020-04-23996BROOKLYN Wolfpack-PV Sharapovas-
102 - 2020-04-251008BRIDGEPORT Sound Tigers-BROOKLYN Wolfpack-
104 - 2020-04-271021BROOKLYN Wolfpack-PV Sharapovas-
105 - 2020-04-281031BROOKLYN Wolfpack-BRIDGEPORT Sound Tigers-
106 - 2020-04-291037UTICA Comets-BROOKLYN Wolfpack-
109 - 2020-05-021059STOCKTON Flames-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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
21,442$ 1,040,000$ 1,040,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 18,738$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 109 10,721$ 1,168,589$




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
3320200000022-2210100000011-1110100000011-110000000000623101613809700.00%000.00%00150.00%6698.70%3348.82%849513163
Total Saison Régulière20200000022-2210100000011-1110100000011-110000000000623101613809700.00%000.00%00150.00%6698.70%3348.82%849513163