BROOKLYN Wolfpack

GP: 28 | W: 2 | L: 26 | OTL: 0 | P: 4
GF: 46 | GA: 288 | PP%: 8.33% | PK%: 40.00%
DG: Alexandre Vaudreuil | Morale : 92 | Moyenne d'Équipe : 62
Prochain matchs #373 vs BELLEVILLE Senators
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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
1Andre Burakovsky0X100.006035756884778967616766606763547999690
2Nick Cousins0X100.007241706869829467777064606660536399690
3Jujhar Khaira0X100.007950686789807366717062686456526596690
4Jacob Josefson0X100.006241837170785660596262686863577099650
5Joey Anderson (R)0X100.006535756470726763646161656251506696630
6Kerby Rychel0X100.005635677080505170506666506652518099610
7Scott Harrington0X100.006741736682738665306558716756526799680
8Julius Honka0X100.006235756368746463306255676453518299630
9Matt Roy (R)0X100.006035736977616268305653606551504896610
10Andrei Mironov (R)0X100.005943765376535360304640735950506099560
11Ethan Bear0X100.005289657074505070305045545551505999560
12Aaron Ness0X100.005089637067505070304843575352516199550
13Brandon Gormley0X100.005335726474464347303229594862526391500
Rayé
1Derek MacKenzie0X100.005035735068605050716060605574572458580
MOYENNE D'ÉQUIPE100.00614672657565636347585562615752639562
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 Bure60606060666676RUS483150,000$


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)D2812315-64951055060224120.00%11950217.950000100000000.00%000000.6000001013
Stats d'équipe Total ou en Moyenne2812315-64951055060224120.00%11950217.950000100000000.00%000000.6000001013
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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Aaron NessBROOKLYN Wolfpack (NYR)D291990-05-18No84 Kg178 CMNoNoNo1Sans RestrictionPro & Farm715,000$0$0$NoLien
Andre BurakovskyBROOKLYN Wolfpack (NYR)LW241995-02-09No91 Kg191 CMNoNoNo2Avec RestrictionPro & Farm2,500,000$0$0$NoLien
Andrei MironovBROOKLYN Wolfpack (NYR)D251994-07-29Yes88 Kg191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Andrew HammondBROOKLYN Wolfpack (NYR)G311988-02-11No98 Kg188 CMNoNoNo5Sans RestrictionPro & Farm750,000$0$0$NoLien
Brandon GormleyBROOKLYN Wolfpack (NYR)D271992-02-18No89 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Derek MacKenzieBROOKLYN Wolfpack (NYR)C381981-06-11No80 Kg180 CMNoNoNo3Sans RestrictionPro & Farm1,500,000$0$0$NoLien
Ethan BearBROOKLYN Wolfpack (NYR)D221997-06-26No95 Kg180 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Jacob JosefsonBROOKLYN Wolfpack (NYR)C281991-03-02No89 Kg183 CMNoNoNo4Sans RestrictionPro & Farm750,000$0$0$NoLien
Joey AndersonBROOKLYN Wolfpack (NYR)RW211998-06-19Yes86 Kg180 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Jujhar KhairaBROOKLYN Wolfpack (NYR)LW251994-08-13No96 Kg193 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Julius HonkaBROOKLYN Wolfpack (NYR)D231995-12-03No82 Kg180 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Kerby RychelBROOKLYN Wolfpack (NYR)LW241994-10-07No97 Kg185 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Matt RoyBROOKLYN Wolfpack (NYR)D241995-03-01Yes91 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Nick CousinsBROOKLYN Wolfpack (NYR)C261993-07-20No84 Kg180 CMNoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Scott HarringtonBROOKLYN Wolfpack (NYR)D261993-03-10No94 Kg188 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1526.2090 Kg185 CM2.60924,333$



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
1BRIDGEPORT Sound Tigers10100000012-1210100000012-120000000000000.000000002212111318718520491023504100.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
2CHICAGO Wolves1010000008-81010000008-80000000000000.00000000221211131871852049893205100.00%10100.00%012437433.16%14471320.20%10255418.41%295193111916627096
3CLEVELAND Monsters20200000714-71010000048-41010000036-300.0007121900221211195187185204912924464000.00%2150.00%012437433.16%14471320.20%10255418.41%295193111916627096
4COLORADO Eagles10100000012-120000000000010100000012-1200.00000000221211151871852049892405100.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
5CORNWALL Aces1010000045-1000000000001010000045-100.000481200221211137187185204955150192150.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
6HERSEY Bears10100000011-110000000000010100000011-1100.00000000221211151871852049761906000.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
7HOLLYWOOD Oscar11000000532110000005320000000000021.00051015002212111761871852049268031000.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
8IOWA Wild10100000310-710100000310-70000000000000.000369002212111181871852049891801711100.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
9LAVAL Rockets30300000037-3720200000026-2610100000011-1100.00000000221211117187185204931976015500.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
10LEHIGH VALLEY Phantoms10100000113-120000000000010100000113-1200.00012300221211141871852049802104200.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
11MILWAUKEE Admirals10100000110-910100000110-90000000000000.0001230022121112518718520497029015000.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
12MONT-LAURIER Sommet10100000015-150000000000010100000015-1500.000000002212111918718520491012205000.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
13PROVIDENCE Bruins20200000618-120000000000020200000618-1200.0006121800221211162187185204913232036100.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
14PV Sharapovas10100000011-110000000000010100000011-1100.000000002212111418718520491011803300.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
15ROCKFORD IceHogs20200000024-2410100000014-1410100000010-1000.0000000022121119187185204916837518100.00%110.00%012437433.16%14471320.20%10255418.41%295193111916627096
16SAN DIEGO Gulls1010000028-61010000028-60000000000000.0002460022121114418718520495116029000.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
17STOCKTON Flames1010000019-8000000000001010000019-800.00012300221211131871852049661901200.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
18SYRACUSE Crunch10000010651100000106510000000000021.00069150022121117118718520494215049100.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
19TORONTO Marlies10100000013-1310100000013-130000000000000.00000000221211141871852049832405100.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
20TUSCON Roadrunners30300000935-2620200000821-1310100000114-1300.0009182700221211183187185204928673057000.00%000.00%012437433.16%14471320.20%10255418.41%295193111916627096
Total281260001046288-242141120001029138-109140140000017150-13340.071468713300221211158318718520492257585133982428.33%5340.00%012437433.16%14471320.20%10255418.41%295193111916627096
22UTICA Comets10100000115-140000000000010100000115-1400.0001230022121116187185204910328410200.00%110.00%012437433.16%14471320.20%10255418.41%295193111916627096
_Since Last GM Reset281260001046288-242141120001029138-109140140000017150-13340.071468713300221211158318718520492257585133982428.33%5340.00%012437433.16%14471320.20%10255418.41%295193111916627096
_Vs Conference190190000026204-178100100000015107-92909000001197-8600.00026507600221211135718718520491614425132641200.00%5340.00%012437433.16%14471320.20%10255418.41%295193111916627096
_Vs Division809000001885-67403000001532-1740600000353-5000.00018365400221211122118718520496331664133400.00%110.00%012437433.16%14471320.20%10255418.41%295193111916627096

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
284L7468713358322575851339800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
28126001046288
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
14112001029138
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
14014000017150
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2428.33%5340.00%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
18718520492212111
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
12437433.16%14471320.20%10255418.41%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
295193111916627096


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 - 2019-07-303MILWAUKEE Admirals10BROOKLYN Wolfpack1LSommaire du Match
2 - 2019-07-3126BRIDGEPORT Sound Tigers12BROOKLYN Wolfpack0LSommaire du Match
3 - 2019-08-0138BROOKLYN Wolfpack3CLEVELAND Monsters6LR3Sommaire du Match
4 - 2019-08-0250BROOKLYN Wolfpack5PROVIDENCE Bruins7LSommaire du Match
6 - 2019-08-0458BROOKLYN Wolfpack1UTICA Comets15LSommaire du Match
7 - 2019-08-0574LAVAL Rockets12BROOKLYN Wolfpack0LSommaire du Match
9 - 2019-08-0781BROOKLYN Wolfpack0PV Sharapovas11LSommaire du Match
10 - 2019-08-0892SYRACUSE Crunch5BROOKLYN Wolfpack6WXXR3Sommaire du Match
11 - 2019-08-09105BROOKLYN Wolfpack0ROCKFORD IceHogs10LSommaire du Match
12 - 2019-08-10126TUSCON Roadrunners11BROOKLYN Wolfpack3LSommaire du Match
14 - 2019-08-12137BROOKLYN Wolfpack1TUSCON Roadrunners14LSommaire du Match
15 - 2019-08-13149IOWA Wild10BROOKLYN Wolfpack3LSommaire du Match
17 - 2019-08-15160ROCKFORD IceHogs14BROOKLYN Wolfpack0LSommaire du Match
19 - 2019-08-17183SAN DIEGO Gulls8BROOKLYN Wolfpack2LSommaire du Match
20 - 2019-08-18187BROOKLYN Wolfpack0LAVAL Rockets11LSommaire du Match
21 - 2019-08-19197BROOKLYN Wolfpack0COLORADO Eagles12LSommaire du Match
23 - 2019-08-21217LAVAL Rockets14BROOKLYN Wolfpack0LSommaire du Match
24 - 2019-08-22232TORONTO Marlies13BROOKLYN Wolfpack0LSommaire du Match
25 - 2019-08-23238BROOKLYN Wolfpack1PROVIDENCE Bruins11LSommaire du Match
26 - 2019-08-24252BROOKLYN Wolfpack0MONT-LAURIER Sommet15LSommaire du Match
27 - 2019-08-25270HOLLYWOOD Oscar3BROOKLYN Wolfpack5WSommaire du Match
28 - 2019-08-26282BROOKLYN Wolfpack1LEHIGH VALLEY Phantoms13LR3Sommaire du Match
29 - 2019-08-27296TUSCON Roadrunners10BROOKLYN Wolfpack5LSommaire du Match
30 - 2019-08-28306BROOKLYN Wolfpack1STOCKTON Flames9LSommaire du Match
31 - 2019-08-29318BROOKLYN Wolfpack0HERSEY Bears11LSommaire du Match
32 - 2019-08-30332BROOKLYN Wolfpack4CORNWALL Aces5LSommaire du Match
33 - 2019-08-31338CHICAGO Wolves8BROOKLYN Wolfpack0LSommaire du Match
35 - 2019-09-02360CLEVELAND Monsters8BROOKLYN Wolfpack4LR3Sommaire du Match
36 - 2019-09-03373BROOKLYN Wolfpack-BELLEVILLE Senators-
37 - 2019-09-04380HERSEY Bears-BROOKLYN Wolfpack-R3
39 - 2019-09-06396BROOKLYN Wolfpack-WILKIES-BARRIE Penguins-
40 - 2019-09-07409MANITOBA Moose-BROOKLYN Wolfpack-R3
42 - 2019-09-09425LEHIGH VALLEY Phantoms-BROOKLYN Wolfpack-
43 - 2019-09-10433BROOKLYN Wolfpack-HOLLYWOOD Oscar-R3
45 - 2019-09-12447CORNWALL Aces-BROOKLYN Wolfpack-
46 - 2019-09-13465BROOKLYN Wolfpack-TUSCON Roadrunners-R3
47 - 2019-09-14477BROOKLYN Wolfpack-CLEVELAND Monsters-
48 - 2019-09-15486ROCKFORD IceHogs-BROOKLYN Wolfpack-R3
49 - 2019-09-16498STOCKTON Flames-BROOKLYN Wolfpack-
50 - 2019-09-17514BROOKLYN Wolfpack-MANITOBA Moose-R3
52 - 2019-09-19531SYRACUSE Crunch-BROOKLYN Wolfpack-
53 - 2019-09-20542BROOKLYN Wolfpack-SYRACUSE Crunch-R3
54 - 2019-09-21554PROVIDENCE Bruins-BROOKLYN Wolfpack-
57 - 2019-09-24571BROOKLYN Wolfpack-ROCKFORD IceHogs-R3
58 - 2019-09-25579BROOKLYN Wolfpack-HERSEY Bears-
59 - 2019-09-26590BROOKLYN Wolfpack-UTICA Comets-R3
60 - 2019-09-27595COLORADO Eagles-BROOKLYN Wolfpack-
61 - 2019-09-28610BROOKLYN Wolfpack-SAN DIEGO Gulls-R3
64 - 2019-10-01622SAN DIEGO Gulls-BROOKLYN Wolfpack-
65 - 2019-10-02635BROOKLYN Wolfpack-VICTORIAVILLE Tigres-R3
67 - 2019-10-04646IOWA Wild-BROOKLYN Wolfpack-
68 - 2019-10-05660BROOKLYN Wolfpack-CHICAGO Wolves-R3
69 - 2019-10-06674PV Sharapovas-BROOKLYN Wolfpack-
71 - 2019-10-08685BROOKLYN Wolfpack-SAN DIEGO Gulls-R3
72 - 2019-10-09696VICTORIAVILLE Tigres-BROOKLYN Wolfpack-
74 - 2019-10-11712BROOKLYN Wolfpack-IOWA Wild-R3
75 - 2019-10-12722HERSEY Bears-BROOKLYN Wolfpack-
76 - 2019-10-13740BROOKLYN Wolfpack-CHICAGO Wolves-R3
77 - 2019-10-14748BRIDGEPORT Sound Tigers-BROOKLYN Wolfpack-
79 - 2019-10-16767PROVIDENCE Bruins-BROOKLYN Wolfpack-R3
80 - 2019-10-17782BROOKLYN Wolfpack-TORONTO Marlies-
81 - 2019-10-18787BROOKLYN Wolfpack-PV Sharapovas-R3
83 - 2019-10-20804UTICA Comets-BROOKLYN Wolfpack-
84 - 2019-10-21820WILKIES-BARRIE Penguins-BROOKLYN Wolfpack-R3
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22831BROOKLYN Wolfpack-TORONTO Marlies-
86 - 2019-10-23847CLEVELAND Monsters-BROOKLYN Wolfpack-R3
88 - 2019-10-25858BROOKLYN Wolfpack-LAVAL Rockets-
90 - 2019-10-27876MILWAUKEE Admirals-BROOKLYN Wolfpack-R3
92 - 2019-10-29895MONT-LAURIER Sommet-BROOKLYN Wolfpack-
93 - 2019-10-30910COLORADO Eagles-BROOKLYN Wolfpack-R3
94 - 2019-10-31919BROOKLYN Wolfpack-MILWAUKEE Admirals-
96 - 2019-11-02937UTICA Comets-BROOKLYN Wolfpack-R3
99 - 2019-11-05953BROOKLYN Wolfpack-COLORADO Eagles-
100 - 2019-11-06958BROOKLYN Wolfpack-BRIDGEPORT Sound Tigers-R3
102 - 2019-11-08976CHICAGO Wolves-BROOKLYN Wolfpack-
103 - 2019-11-09983BROOKLYN Wolfpack-BRIDGEPORT Sound Tigers-R3
104 - 2019-11-10992BROOKLYN Wolfpack-MILWAUKEE Admirals-
106 - 2019-11-121011BELLEVILLE Senators-BROOKLYN Wolfpack-R3



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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
481,570$ 1,386,500$ 1,386,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 432,500$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 14,360$ 1,033,920$




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
32281260001046288-242141120001029138-109140140000017150-1334468713300221211158318718520492257585133982428.33%5340.00%012437433.16%14471320.20%10255418.41%295193111916627096
Total Saison Régulière281260001046288-242141120001029138-109140140000017150-1334468713300221211158318718520492257585133982428.33%5340.00%012437433.16%14471320.20%10255418.41%295193111916627096