Wolf Pack

GP: 7 | W: 5 | L: 2
GF: 21 | GA: 16 | PP%: 13.79% | PK%: 76.92%
DG: Sebastien Regnier | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #29 vs 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 SP
1Alexander TrueXX100.00844594677855776365705556255656635000
2Kaapo Kakko (R)X100.00614192827267787434656861755252685000
3Rudolfs BalcersX100.00784399656162817326615859254949635000
4Johan LarssonX100.00794487817068856380655984256767695000
5Jack Hughes (R)XX100.00594094826272758469686055485151655000
6Isac LundestromX100.00614199806866687276725564254646645000
7Logan BrownX100.00674494628559697262755657254646635000
8Sam LaffertyXXX100.00845786677154806165626276254848675000
9Vitaly AbramovXX100.00686183696176796550626461614444655000
10Gabriel Vilardi (R)X100.00574187807663486887757554254444695000
11Vladislav KamenevXXX100.00734392807252566462645661255151625000
12Brendan LemieuxXX100.00939650837963786738655971755959675000
13Ethan BearX100.00715386857184796525574981255959654900
14Matt RoyX100.00844595627475876225544875255656625000
15Victor MeteX100.00634188816568826025514974256060625000
16Adam Boqvist (R)X100.00714294806469727425565060254747625000
17Christian DjoosX100.00594099806277677925535070255961635000
18Alex Alexeyev (R)X100.00817790637767715125464164394444555000
Rayé
1Aleksi SaarelaX100.00767091667076806379616166584748655000
2Hayden VerbeekXX100.00726589546550524455384458424444505000
3Ryan Poehling (R)XX100.00794494776956675733545668254646625000
4Joachim Blichfeld (R)X100.00736983666972756450596564624444655000
5Aleksi Heponiemi (R)XX100.00665689615663675063504657444444535000
6Rem Pitlick (R)XX100.00747082657066686075536263594444625000
7Kody Clark (R)X100.00716683606659625050494759454444545000
8Logan StanleyX100.00788756628768744725374162394444525000
MOYENNE D'ÉQUIPE100.0072558872706672645059556538505062500
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
1Connor Ingram100.0069648076707172777373304444705000
2Igor Shesterkin (R)100.0069636071776288697769754545714500
Rayé
MOYENNE D'ÉQUIPE100.006964707474678073757153454571480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott70656067545089CAN393975,000$


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
1Jack HughesWolf Pack (NYR)C/LW743728071715101126.67%115321.94134746000041054.55%1100000.9100000200
2Adam BoqvistWolf Pack (NYR)D70772202395090.00%416523.6402243500001000.00%000000.8500000020
3Brendan LemieuxWolf Pack (NYR)LW/RW7347014025151241025.00%114520.800115430000160216.67%600000.9600000210
4Kaapo KakkoWolf Pack (NYR)RW7235220681741511.76%314721.10202847000000050.00%800000.6800000001
5Christian DjoosWolf Pack (NYR)D741500017146628.57%216022.923141136000016200.00%000000.6200000100
6Logan BrownWolf Pack (NYR)C713410001092611.11%012718.28011142000000051.04%9600000.6300000011
7Vitaly AbramovWolf Pack (NYR)LW/RW7134000191031010.00%113419.15011347000010033.33%600000.6000000000
8Vladislav KamenevWolf Pack (NYR)C/LW/RW7044220535280.00%010414.93022060000120050.00%600000.7700000000
9Matt RoyWolf Pack (NYR)D7123-16011341225.00%313118.80123411000010000.00%000000.4600000000
10Victor MeteWolf Pack (NYR)D70332404104020.00%811917.1100011000023000.00%000000.5000000000
11Gabriel VilardiWolf Pack (NYR)C71232207131071710.00%214721.03011245000001067.07%16400000.4100000001
12Johan LarssonWolf Pack (NYR)C7202240622123316.67%311015.85000000000240066.67%11700000.3600000000
13Sam LaffertyWolf Pack (NYR)C/LW/RW7202-1403590322.22%27210.43101100000111066.67%600000.5500000000
14Alex AlexeyevWolf Pack (NYR)D7022240734000.00%214520.7200024800005000.00%000000.2800000000
15Rudolfs BalcersWolf Pack (NYR)LW7011200362150.00%08612.3500000000000033.33%300000.2300000000
16Isac LundestromWolf Pack (NYR)C7011-200077020.00%17711.13000000000140045.45%6600000.2600000000
17Alexander TrueWolf Pack (NYR)C/RW7000-100750140.00%1699.9500008000000088.89%900000.0000000000
Stats d'équipe Total ou en Moyenne119213960145201161521394411315.11%34210017.65814224942000001415259.44%49800000.5700000543
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
1Igor ShesterkinWolf Pack (NYR)75110.8782.0347401161310100.000070000
Stats d'équipe Total ou en Moyenne75110.8782.0347401161310100.000070000


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 BoqvistWolf Pack (NYR)D192000-08-14Yes179 Lbs5 ft11NoNoNo3Pro & Farm1,744,167$174,417$1,744,167$174,417$0$0$No1,744,167$1,744,167$
Aleksi HeponiemiWolf Pack (NYR)C/RW211999-01-09Yes150 Lbs5 ft10NoNoNo3Pro & Farm1,775,000$177,500$1,775,000$177,500$0$0$No1,775,000$1,775,000$
Aleksi SaarelaWolf Pack (NYR)C231997-01-07No198 Lbs5 ft11NoNoNo3Pro & Farm1,152,500$115,250$902,500$90,250$0$0$No902,500$902,500$Lien
Alex AlexeyevWolf Pack (NYR)D201999-11-15Yes201 Lbs6 ft4NoNoNo3Pro & Farm894,167$89,417$450,000$45,000$0$0$No894,167$894,167$
Alexander TrueWolf Pack (NYR)C/RW221997-07-17No201 Lbs6 ft5NoNoNo3Pro & Farm1,050,000$105,000$800,000$80,000$0$0$No800,000$800,000$Lien
Brendan LemieuxWolf Pack (NYR)LW/RW241996-03-14No210 Lbs6 ft1NoNoNo1Pro & Farm1,039,167$103,917$1,039,167$103,917$0$0$NoLien
Christian DjoosWolf Pack (NYR)D251994-08-06No169 Lbs6 ft0NoNoNo1Pro & Farm650,000$65,000$650,000$65,000$0$0$NoLien
Connor IngramWolf Pack (NYR)G231997-03-31No204 Lbs6 ft1NoNoNo2Pro & Farm925,000$92,500$925,000$92,500$0$0$No925,000$Lien
Ethan BearWolf Pack (NYR)D231997-06-26No198 Lbs5 ft11NoNoNo1Pro & Farm720,000$72,000$720,000$72,000$0$0$NoLien
Gabriel VilardiWolf Pack (NYR)C201999-08-15Yes201 Lbs6 ft3NoNoNo3Pro & Farm1,627,000$162,700$1,627,000$162,700$0$0$No1,627,000$1,627,000$
Hayden VerbeekWolf Pack (NYR)C/LW221997-10-17No183 Lbs5 ft10NoNoNo3Pro & Farm776,666$77,667$776,666$77,667$0$0$No776,666$776,666$Lien
Igor ShesterkinWolf Pack (NYR)G241995-12-30Yes187 Lbs6 ft1NoNoNo2Pro & Farm3,775,000$377,500$3,775,000$377,500$0$0$No3,775,000$
Isac LundestromWolf Pack (NYR)C201999-11-06No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$92,500$450,000$45,000$0$0$No925,000$Lien
Jack HughesWolf Pack (NYR)C/LW192001-05-13Yes171 Lbs5 ft10NoNoNo3Pro & Farm3,775,000$377,500$3,775,000$377,500$0$0$No3,775,000$3,775,000$
Joachim BlichfeldWolf Pack (NYR)RW211998-07-16Yes180 Lbs6 ft2NoNoNo3Pro & Farm1,290,000$129,000$790,000$79,000$0$0$No790,000$790,000$Lien
Johan LarssonWolf Pack (NYR)C271992-07-25No198 Lbs5 ft11NoNoNo3Pro & Farm1,475,000$147,500$1,475,000$147,500$0$0$No1,475,000$1,475,000$Lien
Kaapo KakkoWolf Pack (NYR)RW192001-02-13Yes190 Lbs6 ft2NoNoNo3Pro & Farm3,575,000$357,500$3,575,000$357,500$0$0$No3,575,000$3,575,000$
Kody ClarkWolf Pack (NYR)RW201999-10-12Yes179 Lbs6 ft1NoNoNo3Pro & Farm894,167$89,417$894,167$89,417$0$0$No894,167$894,167$
Logan BrownWolf Pack (NYR)C221998-03-04No220 Lbs6 ft6NoNoNo2Pro & Farm1,573,333$157,333$1,573,333$157,333$0$0$No1,573,333$Lien
Logan StanleyWolf Pack (NYR)D221998-05-25No228 Lbs6 ft7NoNoNo2Pro & Farm1,075,833$107,583$1,075,833$107,583$0$0$No1,075,833$Lien
Matt RoyWolf Pack (NYR)D251995-02-28No200 Lbs6 ft1NoNoNo3Pro & Farm1,200,000$120,000$700,000$70,000$0$0$No700,000$700,000$Lien
Rem PitlickWolf Pack (NYR)C/LW231997-04-01Yes196 Lbs5 ft11NoNoNo3Pro & Farm925,000$92,500$925,000$92,500$0$0$No925,000$925,000$
Rudolfs BalcersWolf Pack (NYR)LW231997-04-08No165 Lbs5 ft11NoNoNo2Pro & Farm925,000$92,500$925,000$92,500$0$0$No925,000$Lien
Ryan PoehlingWolf Pack (NYR)C/LW211999-01-02Yes183 Lbs6 ft2NoNoNo3Pro & Farm1,491,667$149,167$1,491,667$149,167$0$0$No1,491,667$1,491,667$
Sam LaffertyWolf Pack (NYR)C/LW/RW251995-03-06No194 Lbs6 ft1NoNoNo3Pro & Farm975,000$97,500$925,000$92,500$0$0$No925,000$925,000$Lien
Victor MeteWolf Pack (NYR)D221998-06-07No184 Lbs5 ft10NoNoNo1Pro & Farm870,000$87,000$870,000$87,000$0$0$NoLien
Vitaly AbramovWolf Pack (NYR)LW/RW221998-05-08No172 Lbs5 ft9NoNoNo2Pro & Farm880,000$88,000$880,000$88,000$0$0$No880,000$Lien
Vladislav KamenevWolf Pack (NYR)C/LW/RW231996-08-12No194 Lbs6 ft2NoNoNo3Pro & Farm800,000$80,000$750,000$75,000$0$0$No750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2822.14190 Lbs6 ft12.461,384,952$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack HughesGabriel VilardiKaapo Kakko35014
2Brendan LemieuxLogan BrownVitaly Abramov30014
3Rudolfs BalcersJohan LarssonVladislav Kamenev25023
4Sam LaffertyIsac LundestromAlexander True10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam Boqvist35023
2Matt RoyChristian Djoos30023
3Alex AlexeyevVictor Mete25032
4Adam Boqvist10032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack HughesGabriel VilardiKaapo Kakko60023
2Brendan LemieuxLogan BrownVitaly Abramov40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistChristian Djoos60032
2Alex Alexeyev40032
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonBrendan Lemieux60032
2Isac LundestromSam Lafferty40032
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor Mete60032
2Christian DjoosMatt Roy40032
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Johan Larsson60041Victor Mete60041
2Sam Lafferty40041Alex AlexeyevMatt Roy40041
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel VilardiJack Hughes60023
2Logan BrownIsac Lundestrom40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt Roy60023
2Christian DjoosVictor Mete40023
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jack HughesGabriel VilardiKaapo KakkoAdam BoqvistChristian Djoos
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan LemieuxJohan LarssonVitaly AbramovMatt Roy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Isac Lundestrom, Johan Larsson, Alexander TrueAlexander True, Vladislav KamenevVladislav Kamenev
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Alexeyev, Christian Djoos, Victor MeteMatt RoyChristian Djoos, Victor Mete
Tirs de Pénalité
Kaapo Kakko, Brendan Lemieux, Jack Hughes, Vitaly Abramov, Logan Brown
Gardien
#1 : Igor Shesterkin, #2 : Connor Ingram


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
1Bruins42200000911-2211000006602110000035-240.5009162500659188442938288223387039512.82%19478.95%012120658.74%11118161.33%6411157.66%201145175579649
2Phantoms330000001257220000008531100000040461.00012233501659151442938284911144619315.79%7271.43%012120658.74%11118161.33%6411157.66%201145175579649
Total7520000021165431000001411332100000752100.71421396001659113944293828131345211658813.79%26676.92%012120658.74%11118161.33%6411157.66%201145175579649
_Since Last GM Reset7520000021165431000001411332100000752100.71421396001659113944293828131345211658813.79%26676.92%012120658.74%11118161.33%6411157.66%201145175579649
_Vs Conference7520000021165431000001411332100000752100.71421396001659113944293828131345211658813.79%26676.92%012120658.74%11118161.33%6411157.66%201145175579649
_Vs Division330000001257220000008531100000040461.00012233501659151442938284911144619315.79%7271.43%012120658.74%11118161.33%6411157.66%201145175579649

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
710W1213960139131345211601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
75200002116
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43100001411
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
321000075
Derniers 10 Matchs
WLOTWOTL SOWSOL
510100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
58813.79%26676.92%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
442938286591
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
12120658.74%11118161.33%6411157.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
201145175579649


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
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JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-06-221Phantoms2Wolf Pack4WSommaire du Match
2 - 2020-06-235Phantoms3Wolf Pack4WSommaire du Match
3 - 2020-06-249Wolf Pack4Phantoms0WSommaire du Match
6 - 2020-06-2721Bruins3Wolf Pack2LXSommaire du Match
7 - 2020-06-2823Bruins3Wolf Pack4WSommaire du Match
8 - 2020-06-2925Wolf Pack0Bruins3LSommaire du Match
9 - 2020-06-3027Wolf Pack3Bruins2WXSommaire du Match
10 - 2020-07-0129Bruins-Wolf Pack-



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
-4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,877,868$ 3,625,951$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 0$ 0$




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
202075200000211654310000014113321000007521021396001659113944293828131345211658813.79%26676.92%012120658.74%11118161.33%6411157.66%201145175579649
Total Séries75200000211654310000014113321000007521021396001659113944293828131345211658813.79%26676.92%012120658.74%11118161.33%6411157.66%201145175579649