Please rotate your device to landscape mode for a better experience.
Connexion

Wolves
GP: 76 | W: 45 | L: 25 | OTL: 6 | P: 96
GF: 259 | GA: 221 | PP%: 17.40% | PK%: 83.72%
DG: Yves Jobidon | Morale : 90 | Moyenne d’équipe : 59
Prochains matchs #1189 vs Chiwawa

Centre de jeu
Farmers
37-36-4, 78pts
3
1 Wolves
45-25-6, 96pts
Team Stats
L1SéquenceW1
17-18-2Fiche domicile21-13-4
20-18-2Fiche domicile24-12-2
4-4-2Derniers 10 matchs6-3-1
3.30Buts par match 3.41
3.47Buts contre par match 2.91
18.40%Pourcentage en avantage numérique17.40%
84.33%Pourcentage en désavantage numérique83.72%
Wolves
45-25-6, 96pts
3
2 Predateurs
33-32-11, 77pts
Team Stats
W1SéquenceL1
21-13-4Fiche domicile19-13-6
24-12-2Fiche domicile14-19-5
6-3-1Derniers 10 matchs4-4-2
3.41Buts par match 2.99
2.91Buts contre par match 3.36
17.40%Pourcentage en avantage numérique14.57%
83.72%Pourcentage en désavantage numérique82.82%
Wolves
45-25-6, 96pts
Jour 97
Chiwawa
37-28-11, 85pts
Statistiques d’équipe
W1SéquenceW1
21-13-4Fiche domicile20-12-6
24-12-2Fiche visiteur17-16-5
6-3-110 derniers matchs8-1-1
3.41Buts par match 2.86
2.91Buts contre par match 2.86
17.40%Pourcentage en avantage numérique15.96%
83.72%Pourcentage en désavantage numérique84.15%
Grizzlies
45-25-6, 96pts
Jour 98
Wolves
45-25-6, 96pts
Statistiques d’équipe
W1SéquenceW1
25-9-4Fiche domicile21-13-4
20-16-2Fiche visiteur24-12-2
6-3-110 derniers matchs6-3-1
3.72Buts par match 3.41
3.11Buts contre par match 3.41
16.71%Pourcentage en avantage numérique17.40%
83.29%Pourcentage en désavantage numérique83.72%
Wolves
45-25-6, 96pts
Jour 99
Sags
33-38-6, 72pts
Statistiques d’équipe
W1SéquenceL2
21-13-4Fiche domicile20-16-1
24-12-2Fiche visiteur13-22-5
6-3-110 derniers matchs3-6-1
3.41Buts par match 2.47
2.91Buts contre par match 2.47
17.40%Pourcentage en avantage numérique17.04%
83.72%Pourcentage en désavantage numérique82.98%
Meneurs d'équipe
Egor ZamulaButs
Egor Zamula
17
Egor ZamulaPasses
Egor Zamula
48
Egor ZamulaPoints
Egor Zamula
65
Egor ZamulaPlus/Moins
Egor Zamula
11

Statistiques d’équipe
Buts pour
259
3.41 GFG
Tirs pour
2727
35.88 Avg
Pourcentage en avantage numérique
17.4%
63 GF
Début de zone offensive
42.6%
Buts contre
221
2.91 GAA
Tirs contre
2416
31.79 Avg
Pourcentage en désavantage numérique
83.7%%
64 GA
Début de la zone défensive
39.9%
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 Pro17
Équipe Mineure20
Limite Contrat37 / 50
Espoirs28


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 JohansenX100.00504580798050404583405055509182090570334800,000$
7Clark BishopX100.00544595766550404730405465508976090550291775,000$
8Arshdeep Bains (R)X100.00654595785653404730405457508472090540242800,000$
9Cal Clutterbuck (C)X100.005045847771504045304050555096850905403711,400,000$
10Jacob Gaucher (R)X100.005045957863504045304050625084710905402443,000,000$
11Damien Giroux (R)X100.00504595786050404530405055508374090520255800,000$
12Egor ZamulaX100.005445928165697656305656696785760906502531,000,000$
13Victor Mancini (R)X100.00744586788064405730565859678271090630235800,000$
14Hunter Drew (R)X100.00504595776050404530405055508572090560265800,000$
15Nick Cicek (R)X100.00504595806050404530405055508270090560255800,000$
Rayé
MOYENNE D’ÉQUIPE100.0063459079645555504346556059857409058
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)D691748651152099144140368712.14%106146021.1797165499011088100%300000.89130001263
2Ryan JohansenWolves (STL)C5315153051803513282205218.29%588816.7703315670000732167.14%113200100.6803000485
Statistiques d’équipe totales ou en moyenne122326395167001342762225613914.41%111234919.26910196916601101613166.96%113500100.811600016148
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$96,296$0$0$No800,000$--------800,000$--------No--------Lien NHL
Cal ClutterbuckWolves (STL)LW371987-11-18CANNo215 Lbs5 ft11NoNoWaiverNoNo12026-03-08FalseFalsePro & Farm1,400,000$168,519$0$0$No---------------------------Lien NHL
Clark BishopWolves (STL)C291996-03-29CANNo197 Lbs6 ft1NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$93,287$0$0$No---------------------------Lien NHL
Cole SchwindtWolves (STL)LW242001-04-25CANYes182 Lbs6 ft2NoNoTrade2025-10-24NoNo32026-03-08FalseFalsePro & Farm840,000$101,111$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$96,296$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$228,704$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$120,370$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$120,370$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$96,296$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$361,111$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$132,407$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$96,296$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$144,444$0$0$No---------------------------Lien NHL
Nick CicekWolves (STL)D252000-05-29CANYes201 Lbs6 ft3NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$96,296$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$96,296$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$144,444$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$96,296$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
1727.18198 Lbs6 ft13.471,118,529$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
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
, , , ,
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
1Bandits3120000079-22020000026-41100000053220.33371320009090736118894932876348321265918211.11%13284.62%01518277154.78%1388259253.55%621113554.71%191513891809520866431
2Barracudas22000000817110000004131100000040441.0008152301909073675894932876345018205011218.18%10190.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
3Bayou22000000963110000004311100000053241.000916250090907367089493287634761928379222.22%14378.57%01518277154.78%1388259253.55%621113554.71%191513891809520866431
4Chiwawa1000000134-11000000134-10000000000010.50036900909073634894932876341671624100.00%80100.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
5CoolFm320000101156210000108531100000030361.00011193001909073692894932876349623447218422.22%22386.36%01518277154.78%1388259253.55%621113554.71%191513891809520866431
6Farmers3120000057-21010000013-22110000044020.333591410909073699894932876349817429214214.29%20195.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
7Goons321000001183110000004132110000077040.667112031109090736110894932876347527377912541.67%15380.00%11518277154.78%1388259253.55%621113554.71%191513891809520866431
8Grizzlies20200000510-50000000000020200000510-500.00058130090907366689493287634671919509222.22%7271.43%11518277154.78%1388259253.55%621113554.71%191513891809520866431
9Hunters3100110015132200011008801100000075250.8331529440090907361068949328763412338387613323.08%18477.78%01518277154.78%1388259253.55%621113554.71%191513891809520866431
10Husky302010001011-1100010004312020000068-220.333101929009090736118894932876341162539891119.09%17476.47%01518277154.78%1388259253.55%621113554.71%191513891809520866431
11Igloos321000001293211000007611100000053240.6671223350090907361288949328763410321366113323.08%16381.25%01518277154.78%1388259253.55%621113554.71%191513891809520866431
12Marlies320010001486100010005412200000094561.000142842009090736113894932876348634309420630.00%15286.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
13Marmots32100000651110000003212110000033040.66761016009090736898949328763453164266900.00%19384.21%01518277154.78%1388259253.55%621113554.71%191513891809520866431
14Outlaws2010000137-41010000014-31000000123-110.250358009090736818949328763470271955600.00%70100.00%11518277154.78%1388259253.55%621113554.71%191513891809520866431
15Predateurs210001005501000010023-11100000032130.750510150090907369589493287634661212421317.69%6266.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
16Raptors22000000853110000004221100000043141.0008152300909073666894932876345611285713323.08%13284.62%01518277154.78%1388259253.55%621113554.71%191513891809520866431
17Rockets330000001394220000008621100000053261.0001326390090907361028949328763410536397613323.08%15193.33%01518277154.78%1388259253.55%621113554.71%191513891809520866431
18Sags11000000633110000006330000000000021.00061218009090736548949328763431710237228.57%50100.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
19Scorpions30101100913-41010000015-42000110088030.5009172600909073692894932876349131247219210.53%11281.82%01518277154.78%1388259253.55%621113554.71%191513891809520866431
20Smirnoff Ice3120000011920000000000031200000119220.33311213201909073685894932876341073136718112.50%18194.44%11518277154.78%1388259253.55%621113554.71%191513891809520866431
21Snowbirds2110000068-21010000036-31100000032120.50061117009090736688949328763475233148300.00%12191.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
22Spartans3110100078-11010000014-32100100064240.66771320009090736107894932876341022023771119.09%9366.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
23Supreme220000001257110000006331100000062441.00012223400909073676894932876348429264112325.00%12283.33%01518277154.78%1388259253.55%621113554.71%191513891809520866431
24Thugs21100000532110000005141010000002-220.5005101500909073678894932876347621203613215.38%10190.00%11518277154.78%1388259253.55%621113554.71%191513891809520866431
25TigersCats312000001013-32110000089-11010000024-220.3331019290090907361088949328763410731328122522.73%15660.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
26Twins210001007701000010034-11100000043130.750714210090907367489493287634621428431000.00%13284.62%11518277154.78%1388259253.55%621113554.71%191513891809520866431
27Vandals211000006511010000013-21100000052320.50061117109090736708949328763438111448500.00%6183.33%01518277154.78%1388259253.55%621113554.71%191513891809520866431
28Vipers21100000871110000005321010000034-120.5008152300909073680894932876346121323916212.50%10280.00%01518277154.78%1388259253.55%621113554.71%191513891809520866431
29Warriors5410000015784310000011561100000042280.80015284301909073617189493287634112314913618422.22%22290.91%01518277154.78%1388259253.55%621113554.71%191513891809520866431
30Xpress31200000121112020000079-21100000052320.3331224360090907361028949328763413144326715213.33%15566.67%01518277154.78%1388259253.55%621113554.71%191513891809520866431
Total76392505412259221383817130331112511693822120210113410529960.632259488747349090736272789493287634241668587218613626317.40%3936483.72%61518277154.78%1388259253.55%621113554.71%191513891809520866431
_Since Last GM Reset76392505412259221383817130331112511693822120210113410529960.632259488747349090736272789493287634241668587218613626317.40%3936483.72%61518277154.78%1388259253.55%621113554.71%191513891809520866431
_Vs Conference3016702302102871515750020149490159202101533815410.6831021922941190907361120894932876349542713316921492013.42%1462284.93%31518277154.78%1388259253.55%621113554.71%191513891809520866431
_Vs Division14830020146388732002002021-17510000126179190.67946861321190907365458949328763442312215331470710.00%661183.33%21518277154.78%1388259253.55%621113554.71%191513891809520866431

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7696W125948874727272416685872186134
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7639255412259221
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3817133311125116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3822122101134105
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3626317.40%3936483.72%6
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
894932876349090736
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
1518277154.78%1388259253.55%621113554.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
191513891809520866431


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
56704Wolves3Grizzlies4LSommaire du match
57714Snowbirds6Wolves3LSommaire du match
58737Raptors2Wolves4WSommaire du match
60760Wolves4Smirnoff Ice5LSommaire du match
61774Rockets3Wolves4WSommaire du match
62790Wolves2Outlaws3LXXSommaire du match
63801Spartans4Wolves1LSommaire du match
65823Wolves4Twins3WSommaire du match
66833Vipers3Wolves5WSommaire du match
67850Wolves2Spartans1WSommaire du match
69863Xpress5Wolves4LSommaire du match
70886Wolves3Smirnoff Ice4LSommaire du match
71893Twins4Wolves3LXSommaire du match
73918Marlies4Wolves5WXSommaire du match
75932Wolves0Marmots1LSommaire du match
76948Sags3Wolves6WSommaire du match
77953Wolves2Farmers1WSommaire du match
78976Wolves4Warriors2WSommaire du match
79984Predateurs3Wolves2LXSommaire du match
80995Wolves6Supreme2WSommaire du match
821020Hunters4Wolves3LXSommaire du match
831040TigersCats6Wolves3LSommaire du match
841051Wolves5Bandits3WSommaire du match
861071Wolves3Marmots2WSommaire du match
871081Supreme3Wolves6WSommaire du match
891104Marmots2Wolves3WSommaire du match
901117Wolves3Snowbirds2WSommaire du match
921138Scorpions5Wolves1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
941159Farmers3Wolves1LSommaire du match
951167Wolves3Predateurs2WSommaire du match
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
Assistance75,81837,934
Assistance PCT99.76%99.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
3 2993 - 99.78% 101,768$3,867,168$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,081,106$ 1,901,500$ 1,901,500$ 400,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,729,226$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
305,303$ 13 21,310$ 277,030$




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