Connexion

Wolves
GP: 7 | W: 3 | L: 4
GF: 18 | GA: 21 | PP%: 9.09% | PK%: 58.82%
DG: Gabriel Whiddon | Morale : 38 | Moyenne d’équipe : 58
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Centre de jeu
Wolves
3-4-0, 6pts
5
FINAL
6 Comets
9-10-0, 18pts
Team Stats
L4SéquenceOTL1
2-2-0Fiche domicile4-4-0
1-2-0Fiche domicile5-6-0
3-4-0Derniers 10 matchs4-5-1
2.57Buts par match 2.53
3.00Buts contre par match 2.84
9.09%Pourcentage en avantage numérique37.14%
58.82%Pourcentage en désavantage numérique81.97%
Comets
9-10-0, 18pts
4
FINAL
1 Wolves
3-4-0, 6pts
Team Stats
OTL1SéquenceL4
4-4-0Fiche domicile2-2-0
5-6-0Fiche domicile1-2-0
4-5-1Derniers 10 matchs3-4-0
2.53Buts par match 2.57
2.84Buts contre par match 3.00
37.14%Pourcentage en avantage numérique9.09%
81.97%Pourcentage en désavantage numérique58.82%
Meneurs d'équipe
Buts
Phillip Di Giuseppe
4
T.J. TynanPasses
T.J. Tynan
4
Points
Phillip Di Giuseppe
6
Plus/Moins
Philippe Maillet
3

Statistiques d’équipe
Buts pour
18
2.57 GFG
Tirs pour
181
25.86 Avg
Pourcentage en avantage numérique
9.1%
1 GF
Début de zone offensive
34.8%
Buts contre
21
3.00 GAA
Tirs contre
166
23.71 Avg
Pourcentage en désavantage numérique
58.8%%
7 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralGabriel Whiddon
EntraîneurDan Lambert
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,646
Billets de saison1,500


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 100
Espoirs142


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Phillip Di GiuseppeX100.0084688076716276663464647025696961846603111,100,000$
2Michael EyssimontXX100.0084916175726189713867706525626365806602831,543,000$
3Paul CotterX100.009646867469638366456757634162626375640252950,000$
4Mathieu OlivierX100.0096996265805977663263607125646563776402821,240,000$
5Kristian Reichel (R)X100.007570846771788360505662625849485984620271935,000$
6T.J. TynanX100.0065587865588287657972555848494857826203311,314,000$
7Philippe MailletX100.007466946466687063806262635947476282610321750,000$
8Daniel Torgersson (R)XX100.007974936877707647504644614248475181560232925,000$
9Carsen TwarynskiX100.0075738066736265515046545951494854805602721,044,000$
10Keaton MastrodonatoX100.007874886976525350633958625547475482560242950,000$
11Sam MortonX100.007367885967515056504861625945455972560252950,000$
12Justin AddamoX100.009391946091444448504546664547475280550272950,000$
13Jordan OesterleX100.007643947767626863255350762571705680660321929,000$
14Robert HaggX100.0076767775765963522541436639686851816203011,691,000$
15William Wallinder (R)X100.008074946376646950254340633947475081590221750,000$
16Aidan FulpX100.007772906174596344253539603747474782560252950,000$
17Will MacKinnonX100.007072716874565944253340563947474782550252950,000$
18Jeremie BuchelerX100.007871996172484946253939613745455018540252950,000$
Rayé
1Ozzy Wiesblatt (R)X100.006765706565606352505446584444445320540222863,333$
2Matthew WedmanX100.007074596274525446584146584444445020510261830,593$
3Anton MalmstromX100.007878796380515345253638623747474769560252950,000$
4Keaton ThompsonX100.007571856571495045253441603944445020540292950,000$
5Montana OnyebuchiX100.006782316582576046253740563844444820540252950,000$
6Zach BerzollaX100.007373746173505242252841583944444920530273800,000$
7Brady KeeperX100.006372426572505147253741543944444820520293800,000$
8Chris JandricX100.006566646366485041252839543744444620500263800,000$
MOYENNE D’ÉQUIPE100.00767278667358645340474962415151546158
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 SPÂgeContratSalaire
1Cayden Primeau100.00746361808073747884747550506974710252983,000$
2Matthew Murray100.00505164454950495449503044445077500271750,000$
Rayé
1Evan Fitzpatrick100.00594759846471627074663047465881640271750,000$
MOYENNE D’ÉQUIPE100.0061546170646562676963454747597762
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lambert40404040404040TUR801750,000$


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
1Barrett HaytonWhalersC/LW333640043113527.27%03612.14000020000221100.00%120003.3000000200
2Phillip Di GiuseppeWolves (HAR)LW74260401662161919.05%412517.9710128000171025.00%441010.9500000100
3T.J. TynanWolves (HAR)C7145060198165146.25%012017.15011111000090055.71%7032000.8300000000
4Kristian ReichelWolves (HAR)RW7134040219125108.33%312718.15000090000700100.00%331000.6300000011
5Philippe MailletWolves (HAR)C722430010535866.67%17210.4100000000000056.25%1622001.1000000010
6Michael EyssimontWolves (HAR)C/RW7123-214102114264213.85%514821.18000211000060027.78%1890000.4000002010
7Daniel TorgerssonWolves (HAR)LW/RW7213020161091822.22%110014.42000040000100100.00%141000.5900000010
8Aidan FulpWolves (HAR)D70333551195230%815922.730000800008000%012000.3800100000
9Keaton MastrodonatoWolves (HAR)C721310016671228.57%111216.1000012000020041.51%5301000.5300000002
10Jakub VranaWhalersLW3022000757480%26120.660001200003000%041000.6500000000
11Carsen TwarynskiWolves (HAR)LW7022300721010%1639.110000000000000%202000.6300000000
12Paul CotterWolves (HAR)RW411202011413557.69%17619.1700047000000025.00%820000.5200000000
13Mathieu OlivierWolves (HAR)RW7112043251210104710.00%310915.6800000000000034.56%13614000.3600221000
14Jordan OesterleWolves (HAR)D7011000118171040%518426.3400011100001000%064000.1100000000
15Justin AddamoWolves (HAR)RW70110002056220%08512.260000000000000%102000.2300000000
16William WallinderWolves (HAR)D70001551367550%216623.83000111000012000%00000000001000
17Jeremie BuchelerWolves (HAR)D4000100010000%0307.510000000000000%00000000000000
18Anton MalmstromWolves (HAR)D60001951675120%613422.490000700007000%01100000010000
19Will MacKinnonWolves (HAR)D70002001513250%211816.9000000000012000%00200000000000
20Sam MortonWolves (HAR)LW7000000000000%000.030000000000000%00000000000000
21Robert HaggWolves (HAR)D7000-255412000%2426.010000000000000%01000000001000
Statistiques d’équipe totales ou en moyenne132182947159955250120181651299.94%47207715.7411213980001863141.53%3134326010.4500335343
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
1Evan FitzpatrickWolves (HAR)33000.9261.851620056842000030000
2Cayden PrimeauWolves (HAR)40400.8443.7723900159650000040000
3Matthew MurrayWolves (HAR)10000.5003.531700121000007000
Statistiques d’équipe totales ou en moyenne83400.8733.0141900211669300077000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aidan FulpWolves (HAR)D252000-02-29USANo192 Lbs6 ft2NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Anton MalmstromWolves (HAR)D252000-03-18SWENo205 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Brady KeeperWolves (HAR)D291996-05-06MBNo194 Lbs6 ft2NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Carsen TwarynskiWolves (HAR)LW271997-11-24ABNo198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,044,000$0$0$No1,044,000$--------1,044,000$--------No--------Lien / Lien NHL
Cayden PrimeauWolves (HAR)G251999-08-11USANo200 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm983,000$0$0$No983,000$--------824,000$--------No--------Lien
Chris JandricWolves (HAR)D261998-10-03BCNo181 Lbs5 ft11NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Daniel TorgerssonWolves (HAR)LW/RW232002-01-26SWEYes199 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Evan FitzpatrickWolves (HAR)G271998-01-28NFLNo223 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jeremie BuchelerWolves (HAR)D252000-03-31QUENo181 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jordan OesterleWolves (HAR)D321992-06-25USANo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm929,000$0$0$No---------------------------Lien / Lien NHL
Justin AddamoWolves (HAR)RW271998-05-27FRANo249 Lbs6 ft6NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Keaton MastrodonatoWolves (HAR)C242000-09-24BCNo205 Lbs6 ft0NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Keaton ThompsonWolves (HAR)D291995-09-14USANo197 Lbs6 ft0NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Kristian ReichelWolves (HAR)RW271998-06-11CZEYes188 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm935,000$0$0$No---------------------------Lien / Lien NHL
Mathieu OlivierWolves (HAR)RW281997-02-11QUENo209 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,240,000$0$0$No1,240,000$--------1,240,000$--------No--------Lien / Lien NHL
Matthew MurrayWolves (HAR)G271998-02-02ABNo170 Lbs5 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm750,000$0$0$No---------989,000$989,000$----------------Lien
Matthew WedmanWolves (HAR)C261999-05-25ABNo197 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm830,593$0$0$No---------------------------Lien
Michael EyssimontWolves (HAR)C/RW281996-09-09USANo191 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,543,000$0$0$No1,543,000$1,543,000$-------822,755$822,755$-------NoNo-------Lien
Montana OnyebuchiWolves (HAR)D252000-03-08MANNo220 Lbs6 ft3NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Ozzy WiesblattWolves (HAR)RW222002-09-03ABYes183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Paul CotterWolves (HAR)RW251999-11-16USANo185 Lbs6 ft0NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm950,000$0$0$No856,000$--------750,000$--------No--------Lien
Philippe MailletWolves (HAR)C321992-11-07QUENo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Phillip Di GiuseppeWolves (HAR)LW311993-09-10ONTNo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Robert HaggWolves (HAR)D301995-02-08SWENo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,691,000$0$0$No---------------------------Lien / Lien NHL
Sam MortonWolves (HAR)LW251999-07-28USANo181 Lbs6 ft0NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
T.J. TynanWolves (HAR)C331992-02-25USANo165 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,314,000$0$0$No---------------------------Lien / Lien NHL
Will MacKinnonWolves (HAR)D252000-04-13USANo201 Lbs5 ft11NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
William WallinderWolves (HAR)D222002-07-28SWEYes191 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Zach BerzollaWolves (HAR)D271998-05-28USANo196 Lbs6 ft2NoNoFree AgentNoNo32024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.79195 Lbs6 ft11.79975,791$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul CotterMathieu OlivierMichael Eyssimont40122
2Phillip Di GiuseppeKeaton MastrodonatoKristian Reichel30122
3Daniel TorgerssonT.J. TynanJustin Addamo20122
4Carsen TwarynskiPhilippe MailletMichael Eyssimont10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleWilliam Wallinder40122
2Aidan FulpRobert Hagg30122
3Jordan OesterleWill MacKinnon20122
4Jordan OesterleAidan Fulp10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul CotterT.J. TynanMichael Eyssimont60122
2Phillip Di GiuseppeMichael EyssimontKristian Reichel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleWilliam Wallinder60122
2Aidan FulpWill MacKinnon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1T.J. TynanKristian Reichel60122
2Michael EyssimontPhillip Di Giuseppe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William WallinderWill MacKinnon60122
2Aidan FulpJordan Oesterle40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Phillip Di Giuseppe60122Jordan OesterleWilliam Wallinder60122
2Michael Eyssimont40122Aidan FulpRobert Hagg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kristian ReichelT.J. Tynan60122
2Michael EyssimontPhillip Di Giuseppe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William WallinderJordan Oesterle60122
2Aidan FulpWill MacKinnon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterPhillip Di GiuseppeMichael EyssimontJordan OesterleWilliam Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterPhillip Di GiuseppeMichael EyssimontJordan OesterleWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
T.J. Tynan, Kristian Reichel, Philippe MailletT.J. Tynan, Kristian ReichelT.J. Tynan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Wallinder, Jordan Oesterle, Will MacKinnonJordan OesterleWilliam Wallinder, Jordan Oesterle
Tirs de pénalité
Kristian Reichel, Paul Cotter, Michael Eyssimont, Phillip Di Giuseppe, T.J. Tynan
Gardien
#1 : Cayden Primeau, #2 : Matthew Murray


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
TotalDomicileVisiteur
# 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
1Comets734000001821-342200000910-131200000911-260.4291829470011250181237979016647992501119.09%17758.82%04810944.04%5211545.22%308933.71%140661197216075
Total734000001821-342200000910-131200000911-260.4291829470011250181237979016647992501119.09%17758.82%04810944.04%5211545.22%308933.71%140661197216075
_Since Last GM Reset734000001821-342200000910-131200000911-260.4291829470011250181237979016647992501119.09%17758.82%04810944.04%5211545.22%308933.71%140661197216075
_Vs Conference734000001821-342200000910-131200000911-260.4291829470011250181237979016647992501119.09%17758.82%04810944.04%5211545.22%308933.71%140661197216075

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L4182947181166479925000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400001821
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000910
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000911
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1119.09%17758.82%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
237979011250
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
4810944.04%5211545.22%308933.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
140661197216075


Derniers matchs 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
14Comets1Wolves5WSommaire du match
312Comets2Wolves3WSommaire du match
520Wolves4Comets3WSommaire du match
728Wolves0Comets2LSommaire du match
936Comets3Wolves0LSommaire du match
1144Wolves5Comets6LSommaire du match
1352Comets4Wolves1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3516
Assistance7,1403,443
Assistance PCT89.25%86.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 2646 - 88.19% 113,608$454,432$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,829,792$ 2,780,868$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Wolves Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wolves Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Wolves Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Wolves Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wolves Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA