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Connexion

Wolves
GP: 46 | W: 29 | L: 15 | OTL: 2 | P: 60
GF: 161 | GA: 126 | PP%: 19.72% | PK%: 83.11%
DG: Yves Jobidon | Morale : 90 | Moyenne d’équipe : 59
Prochains matchs #704 vs Grizzlies

Centre de jeu
Igloos
25-17-3, 53pts		5
Sommaire du match
 2 Wolves
29-15-2, 60pts
Team Stats
OTW1SéquenceL3
14-7-1Fiche domicile14-7-1
11-10-2Fiche domicile15-8-1
6-3-1Derniers 10 matchs6-3-1
3.78Buts par match 3.50
3.20Buts contre par match 2.74
18.67%Pourcentage en avantage numérique19.72%
83.33%Pourcentage en désavantage numérique83.11%
Wolves
29-15-2, 60pts		4
Sommaire du match
 5 Husky
19-21-5, 43pts
Team Stats
L3SéquenceW1
14-7-1Fiche domicile11-9-3
15-8-1Fiche domicile8-12-2
6-3-1Derniers 10 matchs7-2-1
3.50Buts par match 2.80
2.74Buts contre par match 3.22
19.72%Pourcentage en avantage numérique17.79%
83.11%Pourcentage en désavantage numérique84.10%
Wolves
29-15-2, 60pts
Jour 56
 Grizzlies
26-16-4, 56pts
Statistiques d’équipe
L3SéquenceL1
14-7-1Fiche domicile13-7-2
15-8-1Fiche visiteur13-9-2
6-3-110 derniers matchs5-5-0
3.50Buts par match 3.72
2.74Buts contre par match 3.72
19.72%Pourcentage en avantage numérique19.12%
83.11%Pourcentage en désavantage numérique83.81%
Snowbirds
22-20-3, 47pts
Jour 57
 Wolves
29-15-2, 60pts
Statistiques d’équipe
W2SéquenceL3
13-9-1Fiche domicile14-7-1
9-11-2Fiche visiteur15-8-1
7-3-010 derniers matchs6-3-1
3.09Buts par match 3.50
3.16Buts contre par match 3.50
13.06%Pourcentage en avantage numérique19.72%
78.14%Pourcentage en désavantage numérique83.11%
Raptors
13-28-3, 29pts
Jour 58
 Wolves
29-15-2, 60pts
Statistiques d’équipe
W1SéquenceL3
8-12-3Fiche domicile14-7-1
5-16-0Fiche visiteur15-8-1
5-3-210 derniers matchs6-3-1
2.86Buts par match 3.50
3.50Buts contre par match 3.50
13.79%Pourcentage en avantage numérique19.72%
84.50%Pourcentage en désavantage numérique83.11%
Meneurs d'équipe
Egor ZamulaButs
Egor Zamula
12		 Egor ZamulaPasses
Egor Zamula
30
Egor ZamulaPoints
Egor Zamula
42		 Egor ZamulaPlus/Moins
Egor Zamula
7

Statistiques d’équipe
Buts pour
161
3.50 GFG		 Tirs pour
1665
36.20 Avg		 Pourcentage en avantage numérique
19.7%
43 GF		 Début de zone offensive
43.1%
Buts contre
126
2.74 GAA		 Tirs contre
1427
31.02 Avg		 Pourcentage en désavantage numérique
83.1%%
37 GA		 Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralYves Jobidon
EntraîneurPascal Vincent
DivisionDivision Ouest
ConférenceConference 2
CapitaineCal Clutterbuck
Assistant #1
Assistant #2Kyle MacLean


Informations de l’aréna

Capacité3,000
Assistance2,993
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure19
Limite Contrat37 / 50
Espoirs29


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
1Eeli TolvanenX100.009948878551729863305273728085760906702631,900,000$
2Kyle MacLean (R) (A)X100.00764590786350985178475459658572090620263800,000$
3Fedor Svechkov (R)X100.005945888258646358675463576882720906202251,000,000$
4Cole Schwindt (R)X100.00684595777050515381545258668370090600243840,000$
5Tye KartyeX100.009948767963507653304958616683700906002451,200,000$
6Ryan JohansenX98.00504580798050404583405055509182090570334800,000$
7Clark BishopX100.00544595766550404730405465508976090550291775,000$
8Arshdeep Bains (R)X100.00654595785653404730405457508472090540242800,000$
9Cal Clutterbuck (C)X100.005045847771504045304050555096850905403711,400,000$
10Jacob Gaucher (R)X100.005045957863504045304050625084710905402443,000,000$
11Carson MeyerX100.00504592795550404530405055508673090520282775,000$
12Damien Giroux (R)X100.00504595786050404530405055508374090520255800,000$
13Egor ZamulaX99.005445928165697656305656696785760906502531,000,000$
14Victor Mancini (R)X100.00744586788064405730565859678271090630235800,000$
15Hunter Drew (R)X100.00504595776050404530405055508572090560265800,000$
16Nick Cicek (R)X100.00504595806050404530405055508270090560255800,000$
Rayé
MOYENNE D’ÉQUIPE99.8162459079645554504246555958857409058
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
1James Reimer100.00755880877574747575717096880906703741,100,000$
2Laurent Brossoit100.00704040916565656565656590820905903211,200,000$
Rayé
MOYENNE D’ÉQUIPE100.007349608970707070706868938509063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent65656565877766CAN551400,000$


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
1Egor ZamulaWolves (STL)D461230427300609883256814.46%7397921.2965112962000057100%100000.86120001031
2Ryan JohansenWolves (STL)C4612132551203211972165116.67%578717.1303314620000642066.33%100100100.6302000374
Statistiques d’équipe totales ou en moyenne9224436712420922171554111915.48%78176719.2168144312500001223066.27%100200100.761400013105
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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Arshdeep BainsWolves (STL)C242001-01-09CANYes184 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$--------800,000$--------No--------Lien NHL
Cal ClutterbuckWolves (STL)LW371987-11-18CANNo215 Lbs5 ft11NoNoWaiverNoNo12026-03-08FalseFalsePro & Farm1,400,000$687,037$0$0$No---------------------------Lien NHL
Carson MeyerWolves (STL)RW281997-08-18USANo184 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$380,324$0$0$No775,000$--------775,000$--------No--------Lien NHL
Clark BishopWolves (STL)C291996-03-29CANNo197 Lbs6 ft1NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$380,324$0$0$No---------------------------Lien NHL
Cole SchwindtWolves (STL)LW242001-04-25CANYes182 Lbs6 ft2NoNoTrade2025-10-24NoNo32026-03-08FalseFalsePro & Farm840,000$412,222$0$0$No840,000$840,000$-------840,000$840,000$-------NoNo-------Lien NHL
Damien GirouxWolves (STL)RW252000-03-03CANYes179 Lbs5 ft10NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Eeli TolvanenWolves (STL)LW261999-04-22FINNo191 Lbs5 ft10NoNoTrade2026-01-17NoNo32026-03-08FalseFalsePro & Farm1,900,000$932,407$0$0$No1,900,000$1,900,000$-------1,900,000$1,900,000$-------NoNo-------Lien NHL
Egor ZamulaWolves (STL)D252000-03-30RUSNo200 Lbs6 ft3NoNoN/ANoNo32026-03-08FalseFalsePro & Farm1,000,000$490,741$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Fedor SvechkovWolves (STL)RW222003-04-05SWEYes187 Lbs6 ft0NoNoTrade2025-11-21NoNo52026-03-08FalseFalsePro & Farm1,000,000$490,741$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien NHL
Hunter DrewWolves (STL)D261998-10-21CANYes191 Lbs6 ft2NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Jacob GaucherWolves (STL)C242001-03-09USAYes185 Lbs6 ft3NoNoTrade2025-11-21NoNo42026-03-08FalseFalsePro & Farm3,000,000$1,472,222$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------Lien NHL
James ReimerWolves (STL)G371988-03-15CANNo205 Lbs6 ft3NoNoTrade2026-01-05NoNo42026-03-08FalseFalsePro & Farm1,100,000$539,815$0$0$No1,100,000$1,100,000$1,100,000$------1,100,000$1,100,000$1,100,000$------NoNoNo------Lien NHL
Kyle MacLeanWolves (STL)C261999-04-29USAYes190 Lbs6 ft1NoNoTrade2025-10-24NoNo32026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Laurent BrossoitWolves (STL)G321993-03-23CANNo215 Lbs6 ft3NoNoN/ANoNo12026-03-08FalseFalsePro & Farm1,200,000$588,889$0$0$No---------------------------Lien NHL
Nick CicekWolves (STL)D252000-05-29CANYes201 Lbs6 ft3NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Ryan JohansenWolves (STL)C331992-07-31CANNo218 Lbs6 ft3NoNoAssign Manually2024-12-05NoNo42026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Tye KartyeWolves (STL)RW242001-04-30CANNo202 Lbs5 ft11NoNoN/ANoNo52026-03-08FalseFalsePro & Farm1,200,000$588,889$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----Lien NHL
Victor ManciniWolves (STL)D232002-05-26USAYes229 Lbs6 ft3NoNoDraftNoNo52026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1827.22198 Lbs6 ft13.391,099,444$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
2Ryan Johansen30122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Egor Zamula30122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
2Ryan Johansen45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Egor Zamula45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Ryan Johansen45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Egor Zamula45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
2Ryan Johansen45122Egor Zamula45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
2Ryan Johansen45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Egor Zamula45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , Ryan Johansen,
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
TotalDomicile Visiteur
# 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 RI
1Bandits2020000026-42020000026-40000000000000.0002460054614157854456953621501116409111.11%8187.50%0921168454.69%838153454.63%38869156.15%11718511080313527264
2Barracudas22000000817110000004131100000040441.0008152301546141575544569536215018205011218.18%10190.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
3Bayou22000000963110000004311100000053241.000916250054614157054456953621761928379222.22%14378.57%0921168454.69%838153454.63%38869156.15%11718511080313527264
4Chiwawa1000000134-11000000134-10000000000010.50036900546141534544569536211671624100.00%80100.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
5CoolFm320000101156210000108531100000030361.00011193001546141592544569536219623447218422.22%22386.36%0921168454.69%838153454.63%38869156.15%11718511080313527264
6Farmers1010000023-1000000000001010000023-100.00024600546141531544569536211436326116.67%30100.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
7Goons321000001183110000004132110000077040.667112031105461415110544569536217527377912541.67%15380.00%1921168454.69%838153454.63%38869156.15%11718511080313527264
8Grizzlies1010000026-4000000000001010000026-400.0002350054614153354456953621341513335120.00%4250.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
9Hunters210010001293100010005411100000075241.0001224360054614157054456953621912828545240.00%13376.92%0921168454.69%838153454.63%38869156.15%11718511080313527264
10Husky302010001011-1100010004312020000068-220.333101929005461415118544569536211162539891119.09%17476.47%0921168454.69%838153454.63%38869156.15%11718511080313527264
11Igloos321000001293211000007611100000053240.6671223350054614151285445695362110321366113323.08%16381.25%0921168454.69%838153454.63%38869156.15%11718511080313527264
12Marlies22000000945000000000002200000094541.0009182700546141590544569536215122145715426.67%70100.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
13Outlaws1010000014-31010000014-30000000000000.00012300546141532544569536213713228300.00%10100.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
14Raptors11000000431000000000001100000043121.0004812005461415405445695362133512287228.57%5180.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
15Rockets22000000963110000004311100000053241.000918270054614157554456953621682827459222.22%9188.89%0921168454.69%838153454.63%38869156.15%11718511080313527264
16Scorpions20001100880000000000002000110088030.750815230054614156354456953621591616429222.22%8187.50%0921168454.69%838153454.63%38869156.15%11718511080313527264
17Smirnoff Ice11000000404000000000001100000040421.000481201546141536544569536212066183133.33%30100.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
18Spartans10001000431000000000001000100043121.0004711005461415335445695362151149216116.67%20100.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
19Thugs21100000532110000005141010000002-220.5005101500546141578544569536217621203613215.38%10190.00%1921168454.69%838153454.63%38869156.15%11718511080313527264
20TigersCats21100000770110000005321010000024-220.5007142100546141567544569536217318225913215.38%10460.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
21Vandals211000006511010000013-21100000052320.50061117105461415705445695362138111448500.00%6183.33%0921168454.69%838153454.63%38869156.15%11718511080313527264
22Vipers1010000034-1000000000001010000034-100.0003690054614153454456953621331024208112.50%6183.33%0921168454.69%838153454.63%38869156.15%11718511080313527264
23Warriors4310000011564310000011560000000000060.7501120310154614151325445695362188243210815213.33%16193.75%0921168454.69%838153454.63%38869156.15%11718511080313527264
24Xpress211000008621010000034-11100000052320.5008162400546141576544569536217929124612216.67%6350.00%0921168454.69%838153454.63%38869156.15%11718511080313527264
Total462415041111611263522117020117156152413802100907020600.652161306467245461415166554456953621142741449311272184319.72%2193783.11%2921168454.69%838153454.63%38869156.15%11718511080313527264
_Since Last GM Reset462415041111611263522117020117156152413802100907020600.652161306467245461415166554456953621142741449311272184319.72%2193783.11%2921168454.69%838153454.63%38869156.15%11718511080313527264
_Vs Conference15740210151411063200001181629420210033258200.667519614711546141552954456953621469134161334721216.67%70987.14%1921168454.69%838153454.63%38869156.15%11718511080313527264
_Vs Division8530000027207422000001011-1431000001798100.62527507711546141528154456953621234718818336513.89%37683.78%0921168454.69%838153454.63%38869156.15%11718511080313527264

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4660L316130646716651427414493112724
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4624154111161126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2211720117156
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2413821009070
Derniers 10 matchs
WLOTWOTL SOWSOL
531001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2184319.72%2193783.11%2
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
544569536215461415
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
921168454.69%838153454.63%38869156.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11718511080313527264


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
19Warriors2Wolves1LSommaire du match
219Wolves4Smirnoff Ice0WSommaire du match
442Wolves2Husky3LSommaire du match
551Warriors2Wolves4WSommaire du match
675Rockets3Wolves4WSommaire du match
778Wolves4Spartans3WXSommaire du match
9106Hunters4Wolves5WXSommaire du match
10113Wolves5Marlies2WSommaire du match
12132CoolFm3Wolves4WXXSommaire du match
13151Wolves2Farmers3LSommaire du match
14165Xpress4Wolves3LSommaire du match
15179Wolves2Scorpions3LXSommaire du match
17195Igloos1Wolves5WSommaire du match
18216Wolves2Grizzlies6LSommaire du match
19221Wolves6Goons4WSommaire du match
20237Bandits2Wolves0LSommaire du match
22256Wolves3CoolFm0WSommaire du match
23266Vandals3Wolves1LSommaire du match
24285Wolves5Xpress2WSommaire du match
25295Wolves5Vandals2WSommaire du match
26309Barracudas1Wolves4WSommaire du match
27329Wolves6Scorpions5WXSommaire du match
28340Outlaws4Wolves1LSommaire du match
29361Bandits4Wolves2LSommaire du match
31379Wolves5Rockets3WSommaire du match
32393Wolves4Marlies2WSommaire du match
33401Bayou3Wolves4WSommaire du match
35416Wolves3Vipers4LSommaire du match
36429Wolves4Raptors3WSommaire du match
37444Warriors0Wolves3WSommaire du match
38462Thugs1Wolves5WSommaire du match
39480CoolFm2Wolves4WSommaire du match
41502Wolves0Thugs2LSommaire du match
42514Goons1Wolves4WSommaire du match
43533Wolves2TigersCats4LSommaire du match
44536Wolves5Bayou3WSommaire du match
45551TigersCats3Wolves5WSommaire du match
46575Chiwawa4Wolves3LXXSommaire du match
47586Wolves7Hunters5WSommaire du match
48608Husky3Wolves4WXSommaire du match
50623Wolves4Barracudas0WSommaire du match
51636Warriors1Wolves3WSommaire du match
52655Wolves5Igloos3WSommaire du match
53659Wolves1Goons3LSommaire du match
54678Igloos5Wolves2LSommaire du match
55693Wolves4Husky5LSommaire du match
56704Wolves-Grizzlies-
57714Snowbirds-Wolves-
58737Raptors-Wolves-
60760Wolves-Smirnoff Ice-
61774Rockets-Wolves-
62790Wolves-Outlaws-
63801Spartans-Wolves-
65823Wolves-Twins-
66833Vipers-Wolves-
67850Wolves-Spartans-
69863Xpress-Wolves-
70886Wolves-Smirnoff Ice-
71893Twins-Wolves-
73918Marlies-Wolves-
75932Wolves-Marmots-
76948Sags-Wolves-
77953Wolves-Farmers-
78976Wolves-Warriors-
79984Predateurs-Wolves-
80995Wolves-Supreme-
821020Hunters-Wolves-
831040TigersCats-Wolves-
841051Wolves-Bandits-
861071Wolves-Marmots-
871081Supreme-Wolves-
891104Marmots-Wolves-
901117Wolves-Snowbirds-
921138Scorpions-Wolves-
941159Farmers-Wolves-
951167Wolves-Predateurs-
971189Wolves-Chiwawa-
981200Grizzlies-Wolves-
991206Wolves-Sags-
1021229Smirnoff Ice-Wolves-
1071255Smirnoff Ice-Wolves-
1081271Wolves-Sags-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance43,88621,950
Assistance PCT99.74%99.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
19 2993 - 99.75% 101,741$2,238,312$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,219,988$ 1,979,000$ 1,979,000$ 400,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,016,268$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,933,088$ 53 22,028$ 1,167,484$




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





Site web créé par le SimonT Hockey Simulator (STHS) pour Michael Langlois - English Version of the Website - La base de données a été créé : 05/06/2026 12:16:07