Connexion

Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Eric Lamonde | Morale : 40 | Moyenne d’équipe : 64
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralEric Lamonde
EntraîneurPaul Maurice
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure15
Limite contact 44 / 250
Espoirs0


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
1Victor Olofsson (R)X100.006028817576777177686477617450465940690211650,000$
2Jake Evans (R)X100.006841747464667074747268566344455440670211500,000$
3Thomas Spelling (R)X100.006431797767677280606371587252493340670241500,000$
4Wade Allison (R)X100.005529776662636766615971476044445340610201500,000$
5Liam O'Brien (R)X100.007858747080548855666154425548514140600231500,000$
6Kieffer Bellows (R)X100.006024795174666661636171406741426540590191500,000$
7Jalen Chatfield (R)X100.008050716886745957396855724746466340690211500,000$
8Dylan Coghlan (R)X100.005429845860626756406550684642427040600191500,000$
Rayé
1Alexandre GrenierX100.007133767583837473717669747078713640730261975,000$
2Kyle RauX100.007121857370857873757773736969623640730252975,000$
3Lawson Crouse (R)X100.008444767577618579607276725759466840720203995,000$
4Sebastian Aho (R)X100.006233828266796680737377629156496640720203995,000$
5Antti Suomela (R)X100.007439707681657664687370586949495540670234800,000$
6Eric Robinson (R)X100.005930777268707068636276496854485040650222500,000$
7Hayden Hodgson (R)X100.007430937168686650366947844344465840650222500,000$
8Fredrik Olofsson (R)X100.007142616466557568626960565545444840620212500,000$
9Jesper Boqvist (R)X100.006035715175625871585778375743426340600202500,000$
10Sasha Chmelevski (R)X100.005324686149556359727263394840408039570192500,000$
11Maksim Sushko (R)X100.004723703758646362484772325940407740530192500,000$
12Parker Kelly (R)X100.005723674357505959565258315440405940510192500,000$
13Stelio Mattheos (R)X100.005633695148516055464747515640406640510192500,000$
14Joona Koppanen (R)X100.005932525263416449445848475241415840500191500,000$
15Anton Lindholm (R)X100.007330846970687371517160885758484840720223975,000$
16Jakub Zboril (R)X100.006841797269666869477263715645446440680204800,000$
17Corey Shueneman (R)X100.007147796857766668447456735646485534680232500,000$
18Samuel Girard (R)X100.005427797461586475408357664542426840650191500,000$
19Matthew Kiersted (R)X100.005236845865606652266236643642435740590202500,000$
MOYENNE D’ÉQUIPE100.00643476656765696656666358594846574064
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
Rayé
1Ebbe Siönäs100.00537764636366707681736449464540680222800,000$
2Ukko-Pekka Luukkonen (R)100.00467455555965588275644440407640620192500,000$
MOYENNE D’ÉQUIPE100.0050766059616664797869544543614065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice73946168788261Can504500,000$


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
Alexandre GrenierWolves (Veg)RW261991-01-01No200 Lbs6 ft5NoNoNo1Pro & Farm975,000$975,000$0$0$No
Anton LindholmWolves (Veg)D221995-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm975,000$975,000$0$0$No1,100,000$2,000,000$Lien
Antti SuomelaWolves (Veg)C231994-01-01Yes180 Lbs6 ft0NoNoNo4Pro & Farm800,000$800,000$0$0$No975,000$1,200,000$1,800,000$Lien
Corey ShuenemanWolves (Veg)D231994-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Dylan CoghlanWolves (Veg)D191998-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Ebbe SiönäsWolves (Veg)G221995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No975,000$Lien
Eric RobinsonWolves (Veg)LW221995-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Fredrik OlofssonWolves (Veg)LW211996-01-01Yes204 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Hayden HodgsonWolves (Veg)LW221995-01-01Yes220 Lbs6 ft6NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Jake EvansWolves (Veg)C211996-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Jakub ZborilWolves (Veg)D201997-01-01Yes200 Lbs6 ft0NoNoNo4Pro & Farm800,000$800,000$0$0$No975,000$2,000,000$2,500,000$Lien
Jalen ChatfieldWolves (Veg)D211996-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Jesper BoqvistWolves (Veg)C201997-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Joona KoppanenWolves (Veg)C191998-01-01Yes205 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Kieffer BellowsWolves (Veg)LW191998-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Kyle RauWolves (Veg)C251992-01-01No178 Lbs5 ft8NoNoNo2Pro & Farm975,000$975,000$0$0$No1,250,000$
Lawson CrouseWolves (Veg)LW201997-01-01Yes220 Lbs6 ft4NoNoNo3Pro & Farm995,000$995,000$0$0$No2,000,000$3,000,000$Lien
Liam O'BrienWolves (Veg)C231994-01-01Yes214 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Maksim SushkoWolves (Veg)RW191998-01-01Yes206 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Matthew KierstedWolves (Veg)D201997-01-01Yes181 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Parker KellyWolves (Veg)LW191998-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Samuel GirardWolves (Veg)D191998-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Sasha ChmelevskiWolves (Veg)C191998-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Sebastian AhoWolves (Veg)C201997-01-01Yes176 Lbs6 ft0NoNoNo3Pro & Farm995,000$995,000$0$0$No2,000,000$3,000,000$Lien
Stelio MattheosWolves (Veg)RW191998-01-01Yes200 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Thomas SpellingWolves (Veg)RW241993-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Ukko-Pekka LuukkonenWolves (Veg)G191998-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Lien
Victor OlofssonWolves (Veg)RW211996-01-01Yes181 Lbs5 ft11NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Wade AllisonWolves (Veg)RW201997-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2920.93194 Lbs6 ft11.86619,483$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Victor Olofsson30122
3Jake EvansThomas Spelling20122
4Kieffer BellowsWade Allison10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Jalen Chatfield20122
4Dylan Coghlan10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Victor Olofsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Liam O'Brien, , Liam O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jalen Chatfield, , Jalen Chatfield,
Tirs de pénalité
, , , , Victor Olofsson
Gardien
#1 : , #2 :


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



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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,796,500$ 1,731,500$ 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 (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 (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