BROOKLYN Wolfpack

GP: 61 | W: 33 | L: 21 | OTL: 7 | P: 73
GF: 185 | GA: 168 | PP%: 14.29% | PK%: 81.51%
DG: Alexandre Vaudreuil | Morale : 98 | Moyenne d'Équipe : 67
Prochain matchs #795 vs VICTORIAVILLE Tigres
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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
1Mattias Janmark0XX100.005339877076828568646961747175685398710
2Nick Cousins0X100.008039806869748766757062686973675698710
3Denis Gurianov0X100.007345877083787769546273597265678498710
4Jujhar Khaira0X100.008658746489738262596358696271676498700
5Morgan Klimchuk0X100.005745866071828059525558566068657698640
6Joey Anderson0X100.005939816270747361576059636163626698640
7Kerby Rychel0X100.005635677080505170506666506652518098610
8Adam Musil0X100.005789685984505059705454505450504498560
9Scott Harrington0X100.007345846381748062307355695073675798700
10Ethan Bear0X100.006241846672887564307159745265645898700
11Julius Honka0X100.006235756368746463306255676453518298630
Rayé
MOYENNE D'ÉQUIPE100.00654679657773736452646064626462659866
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 Hammond100.00738280857271737271737280865398690
Rayé
MOYENNE D'ÉQUIPE100.0073828085727173727173728086539869
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure62626262666672RUS493300,000$


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
1Nick CousinsBROOKLYN Wolfpack (NYR)C61254267132601611612385615110.50%29156625.683710251720003826257.33%120000010.8626000472
2Ethan BearBROOKLYN Wolfpack (NYR)D6112496122205998125371029.60%98168927.694711671820001851234.38%3200000.7200000035
3Mattias JanmarkBROOKLYN Wolfpack (NYR)C/LW61253560102022149287701908.71%39159226.102911391740002815357.00%80700020.7504000232
4Denis GurianovBROOKLYN Wolfpack (NYR)RW613128598220831082316417213.42%9161926.54246261690000875348.11%95400020.7306000362
5Julius HonkaBROOKLYN Wolfpack (NYR)D6113385112340787391274614.29%88152525.016612471560000843275.00%400000.6701000244
6Jujhar KhairaBROOKLYN Wolfpack (NYR)LW612622485735196812285514911.40%37148224.30066261520003555158.82%13600000.6512010546
7Scott HarringtonBROOKLYN Wolfpack (NYR)D61732394420119697537479.33%87154425.33448341760000670022.22%900100.5000000304
8Kerby RychelBROOKLYN Wolfpack (NYR)LW61142135124036511234010511.38%17114818.8311211710000290142.42%13200010.6102000112
9Morgan KlimchukBROOKLYN Wolfpack (NYR)LW611217295160253777205415.58%57143123.47461022171000072027.27%2200000.4111000101
10Joey AndersonBROOKLYN Wolfpack (NYR)RW611018283100485311529768.70%46146624.04336261590000563136.45%10700000.3822000301
11Adam MusilBROOKLYN Wolfpack (NYR)C61714211275258554163812.96%11121219.8825761490000170154.41%119100000.3500001010
Stats d'équipe Total ou en Moyenne67118231649875278108529651644451113011.07%5181627924.2631588932917350009655301653.37%459400160.61624011242929
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)61322170.9082.5636080315416770520.769266101021
Stats d'équipe Total ou en Moyenne61322170.9082.5636080315416770520.769266101021


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)C231997-03-26No92 Kg191 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Andrew HammondBROOKLYN Wolfpack (NYR)G321988-02-11No101 Kg188 CMNoNoNo3Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$Lien
Denis GurianovBROOKLYN Wolfpack (NYR)RW231997-06-07No91 Kg191 CMNoNoNo2Pro & Farm1,500,000$399,082$1,500,000$399,082$0$0$No1,500,000$Lien
Ethan BearBROOKLYN Wolfpack (NYR)D231997-06-26No90 Kg180 CMNoNoNo2Pro & Farm1,500,000$399,082$1,500,000$399,082$0$0$No1,500,000$Lien
Joey AndersonBROOKLYN Wolfpack (NYR)RW221998-06-19No86 Kg180 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Jujhar KhairaBROOKLYN Wolfpack (NYR)LW261994-08-13No96 Kg193 CMNoNoNo3Pro & Farm1,200,000$319,266$1,200,000$319,266$0$0$No1,200,000$1,200,000$Lien
Julius HonkaBROOKLYN Wolfpack (NYR)D241995-12-03No82 Kg180 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Kerby RychelBROOKLYN Wolfpack (NYR)LW251994-10-07No97 Kg185 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Mattias JanmarkBROOKLYN Wolfpack (NYR)C/LW271992-12-08No89 Kg185 CMNoNoNo1Pro & Farm2,100,000$558,715$2,100,000$558,715$0$0$NoLien
Morgan KlimchukBROOKLYN Wolfpack (NYR)LW251995-03-02No84 Kg183 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Nick CousinsBROOKLYN Wolfpack (NYR)C271993-07-20No83 Kg180 CMNoNoNo1Pro & Farm950,000$252,752$950,000$252,752$0$0$NoLien
Scott HarringtonBROOKLYN Wolfpack (NYR)D271993-03-10No93 Kg188 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1225.3390 Kg185 CM1.921,041,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mattias JanmarkNick CousinsDenis Gurianov31122
2Jujhar KhairaAdam MusilJoey Anderson26122
3Morgan KlimchukDenis GurianovNick Cousins23122
4Kerby RychelMattias JanmarkJujhar Khaira20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington31122
2Julius HonkaMorgan Klimchuk26122
3Ethan BearScott Harrington23122
4Julius HonkaJoey Anderson20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mattias JanmarkNick CousinsDenis Gurianov55122
2Jujhar KhairaAdam MusilJoey Anderson45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington55122
2Julius HonkaMorgan Klimchuk45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovNick Cousins55122
2Mattias JanmarkJujhar 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
2Nick Cousins45122Julius Honka45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovNick Cousins55122
2Mattias JanmarkJujhar Khaira45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearScott Harrington55122
2Julius Honka45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mattias JanmarkNick CousinsDenis GurianovEthan BearScott Harrington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mattias JanmarkNick CousinsDenis GurianovEthan BearScott Harrington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kerby Rychel, Adam Musil, Joey AndersonKerby Rychel, Adam MusilJoey Anderson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ethan Bear, Scott Harrington, Julius HonkaEthan BearScott Harrington, Julius Honka
Tirs de Pénalité
Denis Gurianov, Nick Cousins, Mattias Janmark, Jujhar Khaira, Joey Anderson
Gardien
#1 : Andrew Hammond, #2 :
Lignes d'Attaque Perso. en Prol.
Denis Gurianov, Nick Cousins, Mattias Janmark, Jujhar Khaira, Joey Anderson, 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
1BELLEVILLE Senators3120000049-5110000003122020000018-720.3334812007065431071557565514558125145010220.00%70100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
2BRIDGEPORT Sound Tigers3020100045-11010000012-12010100033020.333461000706543107055756551455793510351516.67%5340.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
3Binghampton Devils32100000743110000005232110000022040.667713200170654310735575655145594221242700.00%6183.33%0996183354.34%941186350.51%52294355.36%152610901414420762392
4CHICAGO Wolves30200100513-81010000037-42010010026-410.167510150070654310735575655145596191241500.00%6183.33%0996183354.34%941186350.51%52294355.36%152610901414420762392
5COLORADO Eagles31100010550100000102112110000034-140.667571200706543106255756551455693610491218.33%4175.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
6HERSEY Bears32100000651211000005501100000010140.6676111701706543105955756551455622912438112.50%5180.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
7HOLLYWOOD Oscar311000018622010000135-21100000051430.500815230070654310725575655145510231184311218.18%7185.71%0996183354.34%941186350.51%52294355.36%152610901414420762392
8IOWA Wild21100000660110000005321010000013-220.50069150070654310505575655145553178468337.50%4175.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
9LAVAL Rockets21100000610-41010000039-61100000031220.5006101600706543104455756551455752614256233.33%6350.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
10LEHIGH VALLEY Phantoms321000001073110000005142110000056-140.667101626007065431087557565514557624166514214.29%8275.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
11MILWAUKEE Admirals321000007522110000023-11100000052340.667712191170654310765575655145578272276116.67%10100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
12MONT-LAURIER Sommet2110000056-11010000013-21100000043120.5005101500706543107455756551455428628600.00%20100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
13Manitoba Moose21001000642100010003211100000032141.00061117007065431054557565514557122202818211.11%10370.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
14Marlies de Toronto1000000134-1000000000001000000134-110.500369007065431028557565514553061012200.00%50100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
15PROVIDENCE Bruins30100011711-4200000116601010000015-430.5007101700706543108255756551455942763721314.29%20100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
16PV Sharapovas1010000035-21010000035-20000000000000.00035810706543102455756551455347414200.00%20100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
17Quebec Nordiques21000100541110000003121000010023-130.7505712007065431063557565514553320921300.00%10100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
18ROCKFORD IceHogs21100000440211000004400000000000020.5004610007065431044557565514557224834800.00%4175.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
19SAN DIEGO Gulls44000000371126220000001587220000002231981.0003767104007065431022755756551455631610544125.00%5180.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
20STOCKTON Flames310010101183110000003212000101086261.0001117280070654310685575655145510613164519421.05%60100.00%0996183354.34%941186350.51%52294355.36%152610901414420762392
21Syracruse Crunch402011001318-52010010068-220101000710-330.37513223500706543101235575655145511630163513215.38%8187.50%0996183354.34%941186350.51%52294355.36%152610901414420762392
22TUSCON Roadrunners320001001284210001009631100000032150.833122133007065431094557565514551042735409222.22%9188.89%0996183354.34%941186350.51%52294355.36%152610901414420762392
Total6126210443318516817301310012229386731131103211928210730.598185317502237065431016675575655145517295272808582173114.29%1192281.51%0996183354.34%941186350.51%52294355.36%152610901414420762392
24WILKIES-BARRIE Penguins3210000011101110000003212110000088040.667111829007065431049557565514559936124410220.00%6183.33%0996183354.34%941186350.51%52294355.36%152610901414420762392
_Since Last GM Reset6126210443318516817301310012229386731131103211928210730.598185317502237065431016675575655145517295272808582173114.29%1192281.51%0996183354.34%941186350.51%52294355.36%152610901414420762392
_Vs Conference301310012229681151666001215051-1147401101463016360.60096166262127065431085955756551455822272129397961212.50%521276.92%0996183354.34%941186350.51%52294355.36%152610901414420762392
_Vs Division154200112733934821001113124772100001421527130.43373130203007065431053555756551455417958521049918.37%29389.66%0996183354.34%941186350.51%52294355.36%152610901414420762392

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6173W11853175021667172952728085823
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6126214433185168
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30131012229386
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31131132119282
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2173114.29%1192281.51%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
5575655145570654310
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
996183354.34%941186350.51%52294355.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
152610901414420762392


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 - 2020-08-029BROOKLYN Wolfpack2CHICAGO Wolves3LXSommaire du Match
2 - 2020-08-0320HERSEY Bears2BROOKLYN Wolfpack5WSommaire du Match
4 - 2020-08-0535BROOKLYN Wolfpack1Binghampton Devils2LSommaire du Match
5 - 2020-08-0640PV Sharapovas5BROOKLYN Wolfpack3LSommaire du Match
6 - 2020-08-0760Syracruse Crunch3BROOKLYN Wolfpack2LSommaire du Match
8 - 2020-08-0976BROOKLYN Wolfpack4MONT-LAURIER Sommet3WSommaire du Match
9 - 2020-08-1086HOLLYWOOD Oscar3BROOKLYN Wolfpack2LXXSommaire du Match
11 - 2020-08-12101BROOKLYN Wolfpack1BRIDGEPORT Sound Tigers2LSommaire du Match
12 - 2020-08-13114Manitoba Moose2BROOKLYN Wolfpack3WXR3Sommaire du Match
13 - 2020-08-14124BROOKLYN Wolfpack3LEHIGH VALLEY Phantoms2WSommaire du Match
14 - 2020-08-15140COLORADO Eagles1BROOKLYN Wolfpack2WXXSommaire du Match
16 - 2020-08-17153BROOKLYN Wolfpack2COLORADO Eagles1WSommaire du Match
17 - 2020-08-18165BROOKLYN Wolfpack11SAN DIEGO Gulls2WSommaire du Match
18 - 2020-08-19176BROOKLYN Wolfpack3Syracruse Crunch7LSommaire du Match
19 - 2020-08-20181Binghampton Devils2BROOKLYN Wolfpack5WSommaire du Match
21 - 2020-08-22200MILWAUKEE Admirals0BROOKLYN Wolfpack1WSommaire du Match
22 - 2020-08-23217LAVAL Rockets9BROOKLYN Wolfpack3LSommaire du Match
24 - 2020-08-25232BROOKLYN Wolfpack2Quebec Nordiques3LXSommaire du Match
25 - 2020-08-26244STOCKTON Flames2BROOKLYN Wolfpack3WSommaire du Match
26 - 2020-08-27257BROOKLYN Wolfpack4STOCKTON Flames3WXXSommaire du Match
27 - 2020-08-28270CHICAGO Wolves7BROOKLYN Wolfpack3LSommaire du Match
29 - 2020-08-30290MONT-LAURIER Sommet3BROOKLYN Wolfpack1LSommaire du Match
30 - 2020-08-31295BROOKLYN Wolfpack6WILKIES-BARRIE Penguins3WSommaire du Match
32 - 2020-09-02311BROOKLYN Wolfpack1PROVIDENCE Bruins5LSommaire du Match
33 - 2020-09-03322ROCKFORD IceHogs1BROOKLYN Wolfpack0LSommaire du Match
34 - 2020-09-04330BROOKLYN Wolfpack4Syracruse Crunch3WXSommaire du Match
36 - 2020-09-06346BRIDGEPORT Sound Tigers2BROOKLYN Wolfpack1LSommaire du Match
37 - 2020-09-07354BROOKLYN Wolfpack0BELLEVILLE Senators3LSommaire du Match
38 - 2020-09-08374BELLEVILLE Senators1BROOKLYN Wolfpack3WSommaire du Match
40 - 2020-09-10389BROOKLYN Wolfpack3Marlies de Toronto4LXXR3Sommaire du Match
41 - 2020-09-11396BROOKLYN Wolfpack11SAN DIEGO Gulls1WSommaire du Match
42 - 2020-09-12408Quebec Nordiques1BROOKLYN Wolfpack3WSommaire du Match
44 - 2020-09-14425BROOKLYN Wolfpack2WILKIES-BARRIE Penguins5LSommaire du Match
45 - 2020-09-15432PROVIDENCE Bruins3BROOKLYN Wolfpack4WXXSommaire du Match
46 - 2020-09-16450IOWA Wild3BROOKLYN Wolfpack5WSommaire du Match
48 - 2020-09-18463BROOKLYN Wolfpack1HERSEY Bears0WSommaire du Match
49 - 2020-09-19473BROOKLYN Wolfpack3Manitoba Moose2WR3Sommaire du Match
50 - 2020-09-20483PROVIDENCE Bruins3BROOKLYN Wolfpack2LXXSommaire du Match
52 - 2020-09-22502BROOKLYN Wolfpack0CHICAGO Wolves3LSommaire du Match
53 - 2020-09-23509WILKIES-BARRIE Penguins2BROOKLYN Wolfpack3WSommaire du Match
54 - 2020-09-24528HOLLYWOOD Oscar2BROOKLYN Wolfpack1LSommaire du Match
55 - 2020-09-25535BROOKLYN Wolfpack1BELLEVILLE Senators5LSommaire du Match
56 - 2020-09-26547BROOKLYN Wolfpack1COLORADO Eagles3LSommaire du Match
58 - 2020-09-28563HERSEY Bears3BROOKLYN Wolfpack0LSommaire du Match
59 - 2020-09-29581Syracruse Crunch5BROOKLYN Wolfpack4LXSommaire du Match
60 - 2020-09-30592BROOKLYN Wolfpack4STOCKTON Flames3WXSommaire du Match
61 - 2020-10-01603TUSCON Roadrunners1BROOKLYN Wolfpack5WSommaire du Match
63 - 2020-10-03620BROOKLYN Wolfpack2BRIDGEPORT Sound Tigers1WXSommaire du Match
64 - 2020-10-04628BROOKLYN Wolfpack1Binghampton Devils0WSommaire du Match
65 - 2020-10-05639LEHIGH VALLEY Phantoms1BROOKLYN Wolfpack5WR3Sommaire du Match
66 - 2020-10-06654TUSCON Roadrunners5BROOKLYN Wolfpack4LXSommaire du Match
67 - 2020-10-07665BROOKLYN Wolfpack3TUSCON Roadrunners2WSommaire du Match
69 - 2020-10-09674BROOKLYN Wolfpack5HOLLYWOOD Oscar1WSommaire du Match
70 - 2020-10-10691MILWAUKEE Admirals3BROOKLYN Wolfpack1LSommaire du Match
72 - 2020-10-12708BROOKLYN Wolfpack3LAVAL Rockets1WSommaire du Match
73 - 2020-10-13719SAN DIEGO Gulls6BROOKLYN Wolfpack7WSommaire du Match
74 - 2020-10-14734BROOKLYN Wolfpack2LEHIGH VALLEY Phantoms4LR3Sommaire du Match
75 - 2020-10-15743ROCKFORD IceHogs3BROOKLYN Wolfpack4WSommaire du Match
77 - 2020-10-17760SAN DIEGO Gulls2BROOKLYN Wolfpack8WSommaire du Match
79 - 2020-10-19773BROOKLYN Wolfpack1IOWA Wild3LSommaire du Match
80 - 2020-10-20785BROOKLYN Wolfpack5MILWAUKEE Admirals2WSommaire du Match
81 - 2020-10-21795BROOKLYN Wolfpack-VICTORIAVILLE Tigres-
82 - 2020-10-22805Manitoba Moose-BROOKLYN Wolfpack-
83 - 2020-10-23822VICTORIAVILLE Tigres-BROOKLYN Wolfpack-
85 - 2020-10-25838BROOKLYN Wolfpack-LAVAL Rockets-
86 - 2020-10-26846PV Sharapovas-BROOKLYN Wolfpack-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-10-28866Marlies de Toronto-BROOKLYN Wolfpack-
89 - 2020-10-29876BROOKLYN Wolfpack-MONT-LAURIER Sommet-
90 - 2020-10-30894COLORADO Eagles-BROOKLYN Wolfpack-
91 - 2020-10-31902BROOKLYN Wolfpack-IOWA Wild-
93 - 2020-11-02917PV Sharapovas-BROOKLYN Wolfpack-
94 - 2020-11-03926BROOKLYN Wolfpack-UTICA Comets-
95 - 2020-11-04947Marlies de Toronto-BROOKLYN Wolfpack-
96 - 2020-11-05957BROOKLYN Wolfpack-PV Sharapovas-
98 - 2020-11-07970UTICA Comets-BROOKLYN Wolfpack-
100 - 2020-11-09988BROOKLYN Wolfpack-Quebec Nordiques-
102 - 2020-11-111000UTICA Comets-BROOKLYN Wolfpack-
103 - 2020-11-121005BROOKLYN Wolfpack-VICTORIAVILLE Tigres-
106 - 2020-11-151026Binghampton Devils-BROOKLYN Wolfpack-
107 - 2020-11-161036BROOKLYN Wolfpack-ROCKFORD IceHogs-



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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
920,192$ 1,250,000$ 1,250,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 917,440$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 29 11,468$ 332,572$




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
33821780120083867-784411390100050422-372410390020033445-4122831582410038261811281423439411866681967488798444.76%271255.56%0352105633.33%309223613.82%271157217.24%7104573473489743237
34612621044331851681730131001222938673113110321192821073185317502237065431016675575655145517295272808582173114.29%1192281.51%0996183354.34%941186350.51%52294355.36%152610901414420762392
Total Saison Régulière1432799056332681035-76771144902222143508-36572135003411125527-402752684757432310891611129489801004925638397249432817373013511.63%1463476.71%01348288946.66%1250409930.50%793251531.53%2236154748879091505630