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Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Michael Levesque | Morale : 50 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMichael Levesque
EntraîneurDan Lacroix
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure14
Limite contact 32 / 56
Espoirs13


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique71-77-19 (0.425%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0 - 4 (0.000%)
Coupe Stanley0


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Connor ZaryX100.006445897468828474707474727353466750670232900,000$
2Johan LarssonXX100.0060459670717672707367697168815946506603221,500,000$
3Nicolas DeslauriersXX100.0082886475737286706267647064825638506503411,300,000$
4Tobias RiederXX100.0058449970707879706467677262756146506503211,300,000$
5William KnierimXX100.008055567375717566666569676158516050630271900,000$
6Quentin ShoreX100.005744897371687568726562655966544450620311900,000$
7Michael PastujovXX100.0060459374737178656862646663614970506202521,000,000$
8Madison BoweyX100.0075547675717582714575727260735453506803012,000,000$
9Troy StetcherX100.0064499272697787714570667563765749506703111,700,000$
Rayé
1Chris WagnerX100.0073459471717272697967666965715138506503411,300,000$
2Alexander NylanderXX100.0061459272707576666568696163595256506302700$
3Brendan WarrenXX100.0060459272696972656864636860544756506102800$
4Brent PedersenXX100.0070458772726871605959586859584850506002900$
5Ryan PilonX100.0061449071797780774575687360705862506802800$
6Kurtis MacDermidX100.0086755770786882684566637466665646506503111,500,000$
7Dominik MasinX100.0082576372716766644565557354524650506202900$
8Calle AnderssonX100.006043876876685961456060666055505050600311900,000$
MOYENNE D’ÉQUIPE100.00685183727273766860676570626553525064
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ville Husso100.008387797980758176767377627948506603021,200,000$
Rayé
MOYENNE D’ÉQUIPE100.0083877979807581767673776279485066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lacroix79837977798077CAN563100,000$


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 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 Plafond 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
Alexander NylanderWolves (Car)LW/RW271998-03-02CANNo192 Lbs6 ft1NoNoTrade2024-04-29NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brendan WarrenWolves (Car)LW/RW281997-05-07USANo192 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Brent PedersenWolves (Car)LW/RW291995-07-05CANNo210 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Calle AnderssonWolves (Car)D311994-05-16SWENo211 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Chris WagnerWolves (Car)C341991-05-27USANo192 Lbs6 ft0NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Connor ZaryWolves (Car)C232001-09-25CANNo178 Lbs6 ft0NoNoProspectNoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Dominik MasinWolves (Car)D291996-02-01CZENo200 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Johan LarssonWolves (Car)LW/RW321992-07-25SWENo203 Lbs5 ft11NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Kurtis MacDermidWolves (Car)D311994-03-25CANNo233 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Madison BoweyWolves (Car)D301995-04-22CANNo198 Lbs6 ft2NoNoFree Agent2024-01-08NoNo12024-05-09FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Michael PastujovWolves (Car)LW/RW251999-08-23USANo190 Lbs6 ft0NoNoN/ANoNo22024-05-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nicolas DeslauriersWolves (Car)LW/RW341991-02-22CANNo218 Lbs6 ft1NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Quentin ShoreWolves (Car)C311994-05-25USANo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ryan PilonWolves (Car)D281996-10-10CANNo208 Lbs6 ft3NoNoN/ANoNo02024-05-09FalseFalsePro & Farm0$0$No---------------------------Lien
Tobias RiederWolves (Car)LW/RW321993-01-10DEUNo190 Lbs5 ft10NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Troy StetcherWolves (Car)D311994-04-07CANNo184 Lbs5 ft10NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Ville HussoWolves (Car)G301995-02-06FINNo205 Lbs6 ft2NoNoTrade2024-07-27NoNo22024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
William KnierimWolves (Car)LW/RW271998-01-22USANo205 Lbs6 ft3NoNoN/ANoNo12024-05-09FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1829.56200 Lbs6 ft10.94911,111$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor Zary25122
2Tobias RiederJohan Larsson25122
3Nicolas DeslauriersWilliam Knierim25122
4Quentin ShoreWilliam Knierim25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison Bowey25122
2Troy Stetcher25122
325122
4Madison Bowey25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor Zary50122
2Nicolas DeslauriersJohan Larsson50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison Bowey50122
2Troy Stetcher50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Connor ZaryTobias Rieder50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison Bowey50122
2Troy Stetcher50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1William Knierim50122Madison Bowey50122
250122Troy Stetcher50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor Zary50122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison Bowey50122
2Troy Stetcher50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor ZaryMadison Bowey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor ZaryMadison Bowey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Knierim, Quentin Shore, , Connor Zary
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Madison Bowey,
Tirs de pénalité
William Knierim, Quentin Shore, , Connor Zary, Johan Larsson
Gardien
#1 : , #2 : Ville Husso


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%000%0000%000%000%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%000%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%000%000%
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%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,640,000$ 1,640,000$ 100,000$0$
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
1Martin Marincin140157691-1621041211609.38%166283920.2861622640000310%00.6400
2Michael Chaput15241499085616423834711.82%30263717.356202665000139149.95%00.68514
3Andrew Agozzino142324577-3451202553259.85%22263718.5759145901125251.11%10.5808
4Ryan Pilon130155671-2732921281678.98%182291522.4261319720112000%00.4900
5Mattias Backman150185068-3052911111999.05%162303920.2610919860002200%00.4500

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
1Anders Lindback1114546100.8873.37577314332428580320.76939
2Ville Husso39131220.9132.75187823869900000.8899
3Jack Campbell41131940.8923.1722178311710850000.80010
4Mike Morrison30000.8463.43700042601000

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
Saison régulière
1582244002466218270-5241122000153110137-2741122002313108133-25742183785962571776211218469871774858243868168113862405020.83%2795879.21%21378270950.87%1382283148.82%668130251.31%1955133019366171096545
1682283708333245272-2741161902112121135-1441121806221124137-13842454336780473788312227269577676259252373270814402495120.48%2956876.95%41298267048.61%1387280449.47%675132450.98%1932131119586121077538
Total Saison régulière1645277010799463542-7982283902265231272-4182243808534232270-38158463811127429144155145234456139314931510117496114131389282648910120.65%57412678.05%62676537949.75%2769563549.14%1343262651.14%388726413895123021731083
Séries éliminatoires
1640400000319-1620200000210-82020000019-803690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126
Total Séries éliminatoires40400000319-1620200000210-82020000019-803690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126

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
1Michael Chaput3202-1560540.00%15618.83000100000040.82%00.7100
2Mattias Janmark3011025350%15919.67000100000053.13%00.3400
3Tobias Rieder3011-100130%05117.21000000000050.00%00.3900
4Martin Marincin4011022630%28220.5000000000000%00.2400
5Mattias Backman4011-501420%56616.7200000000000%00.3000

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
1Ville Husso20000.9273.24740045500000
2Anders Lindback40400.8135.4616500158000000