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Werewolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-Nicolas Bleau | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #4 vs Hooligans
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Werewolves
0-0-0, 0pts
2022-10-10
Hooligans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Leftovers
0-0-0, 0pts
2022-10-12
Werewolves
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Werewolves
0-0-0, 0pts
2022-10-14
Caribou
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJean-Nicolas Bleau
EntraîneurRick Bowness
DivisionOrr
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure27
Limite contact 58 / 60
Espoirs58


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique367-108-38 (0.715%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)26-18
Coupe Stanley1


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
1Radek Faksa0X100.008260808582739259894946843769690507202813,250,000$
2Travis Boyd0XXX100.00754386706774827280504971256262050690292651,000$
3Ryan Donato0XXX100.007557848370668772385049657564640506702611,900,000$
4Tyler Bozak0XX100.00634290757262666173494678747881050670361650,000$
5Taylor Raddysh0XX100.00794595748063766836494869255353050650242758,333$
6Kevin Stenlund0XX100.008281857181636461764141705453530506502611,017,500$
7Sasha Chmelevski0XX100.00764392776865756355534575254646050650231927,500$
8Jake Leschyshyn0X100.00764393726959835368484674254747050630232927,500$
9Riley Damiani (R)0X100.00676278666272756278424260574444050630222891,667$
10Nicolas Aube-Kubel0X100.008454817668568860324948682561610506302611,075,000$
11Marian Studenic0X100.00714293726259666131474675254747050620231925,000$
12Kieffer Bellows0X100.00885787747261586125514760255252050610242750,000$
13Jonah Gadjovich0X100.00899954748052605534474560254848050600231863,333$
14Jamie Oleksiak0X100.00918278779578896125433887256969050660292850,000$
15Erik Gudbranson0X100.00849376788575876025413984757677050660301650,000$
16Jonas Siegenthaler0X100.00796582768081686225423889256262050650251977,166$
17Jacob Middleton0X100.00839966778276706025423985255959050640261650,000$
18Vladislav Kolyachonok (R)0X100.00774493777169646325403875254646050600212905,000$
19Alexander Alexeyev0X100.00808079718062664925323263374444050530222863,333$
Rayé
1Alexander Kerfoot0XX100.007343918366709557465448797569710507002813,500,000$
2Fabian Zetterlund0XX100.00764499777665797656524963254545050650232925,000$
3Mackenzie Entwistle0X100.00885687707057685839484673255050050630231894,167$
4Aliaksei Protas (R)0X100.00674499728661646655494659254747050620212888,333$
5Kole Lind0X100.007142866766616761375146652546460506102311,125,000$
6Joe Snively0X100.00594094676459545925505265254545050600262750,000$
7Riley Tufte0X100.00734587688948765744464766254444050600242995,833$
8Egor Sokolov (R)0XX100.00814585688056636325464560254444050590222850,000$
MOYENNE D’ÉQUIPE100.0077578574756573614447447136545505064
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
1Vitek Vanecek100.0073787474747285757873955455050750261716,667$
2Braden Holtby100.0074565881806883748074787276050750331650,000$
Rayé
1Kevin Lankinen100.0062737073655883656562955252050670271800,000$
2Joseph Woll (R)100.0054475983575550575453304444050570242800,000$
MOYENNE D’ÉQUIPE100.006664657869637568696675565705069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness70707070707070CAN633450,000$


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
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


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander AlexeyevWerewolves (GOB)D2211/15/1999No210 Lbs193 CMNoNoNo2Pro & Farm863,333$863,333$0$0$No863,333$Lien
Alexander KerfootWerewolves (GOB)C/LW288/10/1994No185 Lbs178 CMNoNoNo1Pro & Farm3,500,000$3,500,000$0$0$NoLien / Lien NHL
Aliaksei ProtasWerewolves (GOB)C211/6/2001Yes225 Lbs198 CMNoNoNo2Pro & Farm888,333$888,333$0$0$No888,333$Lien
Braden HoltbyWerewolves (GOB)G339/16/1989No214 Lbs188 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Egor SokolovWerewolves (GOB)LW/RW226/7/2000Yes214 Lbs193 CMNoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Erik GudbransonWerewolves (GOB)D301/7/1992No217 Lbs196 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Fabian ZetterlundWerewolves (GOB)C/RW238/25/1999No218 Lbs180 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jacob MiddletonWerewolves (GOB)D261/2/1996No210 Lbs191 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Jake LeschyshynWerewolves (GOB)C233/10/1999No190 Lbs180 CMNoNoNo2Pro & Farm927,500$927,500$0$0$No927,500$Lien
Jamie OleksiakWerewolves (GOB)D2912/21/1992No255 Lbs201 CMNoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Joe SnivelyWerewolves (GOB)LW261/1/1996No181 Lbs175 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Jonah GadjovichWerewolves (GOB)LW2310/12/1998No209 Lbs188 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Jonas SiegenthalerWerewolves (GOB)D255/6/1997No211 Lbs191 CMNoNoNo1Pro & Farm977,166$977,166$0$0$NoLien / Lien NHL
Joseph WollWerewolves (GOB)G247/12/1998Yes203 Lbs193 CMNoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Kevin LankinenWerewolves (GOB)G274/28/1995No185 Lbs188 CMNoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Kevin StenlundWerewolves (GOB)C/RW269/20/1996No215 Lbs193 CMNoNoNo1Pro & Farm1,017,500$1,017,500$0$0$NoLien / Lien NHL
Kieffer BellowsWerewolves (GOB)LW246/10/1998No195 Lbs183 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Kole LindWerewolves (GOB)RW2310/16/1998No178 Lbs185 CMNoNoNo1Pro & Farm1,125,000$1,125,000$0$0$NoLien
Mackenzie EntwistleWerewolves (GOB)RW237/13/1999No184 Lbs191 CMNoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Marian StudenicWerewolves (GOB)RW2310/28/1998No163 Lbs185 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nicolas Aube-KubelWerewolves (GOB)RW265/9/1996No187 Lbs180 CMNoNoNo1Pro & Farm1,075,000$1,075,000$0$0$NoLien / Lien NHL
Radek FaksaWerewolves (GOB)C281/9/1994No220 Lbs191 CMNoNoNo1Pro & Farm3,250,000$3,250,000$0$0$NoLien / Lien NHL
Riley DamianiWerewolves (GOB)C223/20/2000Yes170 Lbs178 CMNoNoNo2Pro & Farm891,667$891,667$0$0$No891,667$Lien
Riley TufteWerewolves (GOB)LW244/10/1998No235 Lbs198 CMNoNoNo2Pro & Farm995,833$995,833$0$0$No995,833$Lien
Ryan DonatoWerewolves (GOB)C/LW/RW264/9/1996No192 Lbs183 CMNoNoNo1Pro & Farm1,900,000$1,900,000$0$0$NoLien / Lien NHL
Sasha ChmelevskiWerewolves (GOB)C/RW236/9/1999No187 Lbs183 CMNoNoNo1Pro & Farm927,500$927,500$0$0$NoLien
Taylor RaddyshWerewolves (GOB)C/RW242/18/1998No216 Lbs191 CMNoNoNo2Pro & Farm758,333$758,333$0$0$No758,333$Lien
Travis BoydWerewolves (GOB)C/LW/RW299/14/1993No185 Lbs180 CMNoNoNo2Pro & Farm651,000$651,000$0$0$No651,000$Lien / Lien NHL
Tyler BozakWerewolves (GOB)C/RW363/19/1986No199 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Vitek VanecekWerewolves (GOB)G261/8/1996No187 Lbs188 CMNoNoNo1Pro & Farm716,667$716,667$0$0$NoLien
Vladislav KolyachonokWerewolves (GOB)D215/26/2001Yes194 Lbs185 CMNoNoNo2Pro & Farm905,000$905,000$0$0$No905,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.35201 Lbs188 CM1.451,044,430$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoRadek FaksaMarian Studenic40122
2Kieffer BellowsTyler BozakTaylor Raddysh30122
3Kevin StenlundTravis BoydNicolas Aube-Kubel20122
4Jonah GadjovichJake LeschyshynSasha Chmelevski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerJacob Middleton40122
2Erik GudbransonJamie Oleksiak30122
3Vladislav KolyachonokAlexander Alexeyev20122
4Vladislav KolyachonokAlexander Alexeyev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoRadek FaksaNicolas Aube-Kubel60122
2Taylor RaddyshTravis BoydMarian Studenic40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerJacob Middleton60122
2Jamie OleksiakVladislav Kolyachonok40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Radek FaksaTyler Bozak60122
2Jake LeschyshynSasha Chmelevski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerJamie Oleksiak60122
2Erik GudbransonVladislav Kolyachonok40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Radek Faksa60122Jamie OleksiakJacob Middleton60122
2Tyler Bozak40122Alexander AlexeyevErik Gudbranson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley DamianiNicolas Aube-Kubel60122
2Kevin StenlundKieffer Bellows40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerErik Gudbranson60122
2Jamie OleksiakJacob Middleton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsJake LeschyshynMarian StudenicAlexander AlexeyevJacob Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoRadek FaksaTyler BozakJonas SiegenthalerErik Gudbranson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marian Studenic, Nicolas Aube-Kubel, Kevin StenlundMarian Studenic, Nicolas Aube-KubelKevin Stenlund
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonas Siegenthaler, Jacob Middleton, Vladislav KolyachonokJonas SiegenthalerJacob Middleton, Alexander Alexeyev
Tirs de pénalité
Ryan Donato, Tyler Bozak, Riley Damiani, Kevin Stenlund, Alexander Alexeyev
Gardien
#1 : Vitek Vanecek, #2 : Braden Holtby


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
1 - 2022-10-104Werewolves-Hooligans-
3 - 2022-10-1212Leftovers-Werewolves-
5 - 2022-10-1420Werewolves-Caribou-
7 - 2022-10-1628Diabotins-Werewolves-
9 - 2022-10-1834Benchwarmers-Werewolves-
11 - 2022-10-2041Werewolves-Vagabond-
13 - 2022-10-2250Barracuda-Werewolves-
16 - 2022-10-2563Werewolves-Jardiniers-
18 - 2022-10-2771Pirates-Werewolves-
20 - 2022-10-2979Werewolves-Knights-
22 - 2022-10-3187Werewolves-Hybrides-
24 - 2022-11-0295Werewolves-Pingouins-
26 - 2022-11-04103Chevalier-Werewolves-
28 - 2022-11-06111Werewolves-Casse-Tete-
30 - 2022-11-08119Requins-Werewolves-
31 - 2022-11-09124Hooligans-Werewolves-
33 - 2022-11-11132Werewolves-Leftovers-
35 - 2022-11-13140Caribou-Werewolves-
37 - 2022-11-15148Werewolves-Diabotins-
39 - 2022-11-17154Werewolves-Benchwarmers-
41 - 2022-11-19161Vagabond-Werewolves-
43 - 2022-11-21170Werewolves-Barracuda-
46 - 2022-11-24183Jardiniers-Werewolves-
48 - 2022-11-26191Werewolves-Pirates-
50 - 2022-11-28199Knights-Werewolves-
52 - 2022-11-30207Hybrides-Werewolves-
54 - 2022-12-02215Pingouins-Werewolves-
56 - 2022-12-04223Werewolves-Chevalier-
58 - 2022-12-06231Casse-Tete-Werewolves-
60 - 2022-12-08239Werewolves-Requins-
61 - 2022-12-09244Werewolves-Hooligans-
63 - 2022-12-11252Leftovers-Werewolves-
65 - 2022-12-13260Werewolves-Caribou-
67 - 2022-12-15268Diabotins-Werewolves-
69 - 2022-12-17274Benchwarmers-Werewolves-
71 - 2022-12-19281Werewolves-Vagabond-
73 - 2022-12-21290Barracuda-Werewolves-
76 - 2022-12-24303Werewolves-Jardiniers-
78 - 2022-12-26311Pirates-Werewolves-
80 - 2022-12-28319Werewolves-Knights-
82 - 2022-12-30327Werewolves-Hybrides-
84 - 2023-01-01335Werewolves-Pingouins-
86 - 2023-01-03343Chevalier-Werewolves-
88 - 2023-01-05351Werewolves-Casse-Tete-
90 - 2023-01-07359Requins-Werewolves-
91 - 2023-01-08364Hooligans-Werewolves-
93 - 2023-01-10372Werewolves-Leftovers-
95 - 2023-01-12380Caribou-Werewolves-
97 - 2023-01-14388Werewolves-Diabotins-
99 - 2023-01-16394Werewolves-Benchwarmers-
101 - 2023-01-18401Vagabond-Werewolves-
103 - 2023-01-20410Werewolves-Barracuda-
106 - 2023-01-23423Jardiniers-Werewolves-
108 - 2023-01-25431Werewolves-Pirates-
110 - 2023-01-27439Knights-Werewolves-
112 - 2023-01-29447Hybrides-Werewolves-
114 - 2023-01-31455Pingouins-Werewolves-
116 - 2023-02-02463Werewolves-Chevalier-
118 - 2023-02-04471Casse-Tete-Werewolves-
120 - 2023-02-06479Werewolves-Requins-
121 - 2023-02-07484Werewolves-Hooligans-
123 - 2023-02-09492Leftovers-Werewolves-
125 - 2023-02-11500Werewolves-Caribou-
127 - 2023-02-13508Diabotins-Werewolves-
129 - 2023-02-15514Benchwarmers-Werewolves-
131 - 2023-02-17521Werewolves-Vagabond-
133 - 2023-02-19530Barracuda-Werewolves-
135 - 2023-02-21540Hooligans-Werewolves-
137 - 2023-02-23548Werewolves-Leftovers-
139 - 2023-02-25556Caribou-Werewolves-
141 - 2023-02-27564Werewolves-Diabotins-
143 - 2023-03-01570Werewolves-Benchwarmers-
145 - 2023-03-03577Vagabond-Werewolves-
147 - 2023-03-05586Werewolves-Barracuda-
149 - 2023-03-07596Werewolves-Hooligans-
151 - 2023-03-09604Leftovers-Werewolves-
153 - 2023-03-11612Werewolves-Caribou-
155 - 2023-03-13620Diabotins-Werewolves-
157 - 2023-03-15626Benchwarmers-Werewolves-
159 - 2023-03-17633Werewolves-Vagabond-
161 - 2023-03-19642Barracuda-Werewolves-
164 - 2023-03-22653Werewolves-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,237,733$ 2,762,317$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
19,742$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 164 19,742$ 3,237,688$




Werewolves Leaders statistiques (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
1Radek Faksa31119832852633920847759395020.84%221615119.784771118172811195131863.42141.7119
2Anthony Duclair3151742314052617216813979321.94%63370411.764064104150112522537.62182.19915
3Mattias Janmark334173209382291915528082920.87%91419712.57192847752241921755.45171.8200
4Colton Sissons16510516927411416536339368715.28%229381823.141748651467310346565.0671.44311
5Patrick Eaves8488113201133311098930728.66%41146517.451831496900009354.7672.7406

Werewolves 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
1Louis Domingue23217645110.9242.30140108853770513711800.81459
2Alex Stalock84651540.9182.5250476021225731595700.81021
3Vitek Vanecek78581820.8943.2946710025624221443700.96025
4Juuse Saros70451780.9242.1242416415019751077100.55618
5Peter Budaj34231010.9172.2620480277932492001.0003

Werewolves 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
Saison régulière
20168459140413357218039242335020202678318442269021133059720813657210091581031771692198260886983089537232584590918323017926.25%2614881.61%13959164258.40%915162756.24%759132457.33%2066137217286601287670
20178445200830836519217342269051011989010842191103207167102651173656641029041251231099262689184284575234879079016802936923.55%3756582.67%11997164360.68%1016168260.40%678112460.32%2054133617496831294660
201882531706060496198298412850305026392171412512030102331061271304968901386031911521411332771223104997547264897687717612819132.38%4117681.51%131150193459.46%1206193562.33%752125959.73%2055136516706501239634
2019845020033533452151304232402211210891214218160114213512691223456189630413110410212280597291489254262789568714563208426.25%3457677.97%101167184063.42%1105179161.70%707111963.18%2001130218056681288673
20208459150244048821427442333012302458915642261201210243125118134488768125600150146186102883943956977282583105169817043039832.34%3476581.27%23793154951.19%863158254.55%704127455.26%2010132017906641272650
202184512201280500279221422770116025811913942241500120242160821225008021302001681761471127989809758313526241059733175428710536.59%36310571.07%14790142755.36%889157956.30%766138155.47%2096139917186451268652
Total Saison régulière502317108024132614276612781488251179330146172144156287925113875010791213257166097612766475175170149428709046316997587855665415276151555616469410187178552629.47%210243579.31%8458561003558.36%59941019658.79%4366748158.36%12285809610463397276503942
Séries éliminatoires
2016211650000084444011920000055203510730000029245328414422802262828270120524024313597252166439761519.74%781185.90%126144159.18%25344057.50%17925769.65%534358445163309163
20199450000026233532000001578413000001116-582647730071441321109113841533511294184381128.95%47589.36%29519548.72%12623952.72%6910565.71%2141342127814272
2020734000001925-6422000001316-33120000069-361933520065712427865927184676015736616.67%29775.86%19916161.49%6512452.42%508757.47%1731091405811257
2021734000001520-5422000001010031200000510-561523381067112348790561210785316031412.90%22386.36%17014548.28%5810853.70%487861.54%1691071405711057
Total Séries éliminatoires44261800000144112322416800000935340201010000005159-85214424739112455440514984795084753613265093739401813619.89%1762685.23%552594255.73%50291155.10%34652765.65%1092710938358675350

Werewolves Leaders statistiques (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
1Radek Faksa35172037622447512613.49%2068719.6482103110168070.8601.0800
2Curtis Lazar21614209223435111.76%2041419.724591601120060.7600.9700
3Radko Gudas2161218104110143669.09%3653325.41314230000000.00%00.6700
4Valeri Nichushkin2189179414165614.29%627413.08101000005041.6711.2400
5Shane Prince2179168126225412.96%927112.92000000000122.2201.1800

Werewolves 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
1Louis Domingue3020910.9282.1818472267926468100.00%0
2Alex Stalock32010.9321.611860057347000.00%0
3Jake Oettinger42200.9312.0123900811671010.00%0
4Vitek Vanecek31200.8823.6917900119362000.00%0
5Collin Delia41300.8354.74228001810959000.00%0