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Wolf Pack
GP: 24 | W: 16 | L: 8 | OTL: 0 | P: 32
GF: 100 | GA: 75 | PP%: 35.21% | PK%: 75.51%
DG: Jonathan Laroche | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #368 vs Caroline

Centre de jeu
Wolf Pack
16-8-0, 32pts
4
FINAL
6 Roadrunners
9-13-1, 19pts
Team Stats
W1SéquenceW2
6-4-0Fiche domicile5-5-0
10-4-0Fiche domicile4-8-1
7-3-0Derniers 10 matchs5-4-1
4.17Buts par match 4.43
3.13Buts contre par match 5.74
35.21%Pourcentage en avantage numérique48.98%
75.51%Pourcentage en désavantage numérique57.32%
Chiefs
14-8-1, 29pts
4
FINAL
5 Wolf Pack
16-8-0, 32pts
Team Stats
L2SéquenceW1
9-3-0Fiche domicile6-4-0
5-5-1Fiche domicile10-4-0
5-4-1Derniers 10 matchs7-3-0
4.04Buts par match 4.17
3.48Buts contre par match 3.13
17.24%Pourcentage en avantage numérique35.21%
79.49%Pourcentage en désavantage numérique75.51%
Wolf Pack
16-8-0, 32pts
2025-11-26
Caroline
6-13-3, 15pts
Statistiques d’équipe
W1SéquenceW1
6-4-0Fiche domicile3-4-2
10-4-0Fiche visiteur3-9-1
7-3-010 derniers matchs3-6-1
4.17Buts par match 3.91
3.13Buts contre par match 3.91
35.21%Pourcentage en avantage numérique14.81%
75.51%Pourcentage en désavantage numérique61.54%
Wolf Pack
16-8-0, 32pts
2025-11-28
Bruins
15-8-1, 31pts
Statistiques d’équipe
W1SéquenceSOL1
6-4-0Fiche domicile8-4-0
10-4-0Fiche visiteur7-4-1
7-3-010 derniers matchs6-3-1
4.17Buts par match 4.21
3.13Buts contre par match 4.21
35.21%Pourcentage en avantage numérique40.98%
75.51%Pourcentage en désavantage numérique70.49%
Thunder
7-11-4, 18pts
2025-11-29
Wolf Pack
16-8-0, 32pts
Statistiques d’équipe
L3SéquenceW1
3-5-4Fiche domicile6-4-0
4-6-0Fiche visiteur10-4-0
2-5-310 derniers matchs7-3-0
4.00Buts par match 4.17
5.77Buts contre par match 4.17
23.53%Pourcentage en avantage numérique35.21%
50.60%Pourcentage en désavantage numérique75.51%
Meneurs d'équipe
Buts
Cutter Gauthier
18
Passes
Dillon Dube
28
Points
Dillon Dube
38
Plus/Moins
Jake Livingstone
15
Victoires
Joel Blomqvist
15
Pourcentage d’arrêts
Joel Blomqvist
0.875

Statistiques d’équipe
Buts pour
100
4.17 GFG
Tirs pour
587
24.46 Avg
Pourcentage en avantage numérique
35.2%
25 GF
Début de zone offensive
35.3%
Buts contre
75
3.13 GAA
Tirs contre
577
24.04 Avg
Pourcentage en désavantage numérique
75.5%%
12 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralJonathan Laroche
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,279
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 50
Espoirs17


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
1Cutter Gauthier (R)X100.00664083798283717846717267765550050700202950,000$
2Shane Wright (R)XX100.00684083797474717559727268755650050690202886,667$
3Matvei Michkov (R)X100.00624067776976697846747560765350050690193950,000$
4Dillon DubeXXX100.006746807876767571606463687273630506802612,300,000$
5Kailer YamamotoXX100.006144738058747368496764687178570506702622,100,000$
6Nils AmanXXX100.00654180757681686857656367695950050660241900,000$
7Valtteri Puustinen (R)XX100.00594078696471686743666159655950050630251842,500$
8Georgii Merkulov (R)X100.00574173696165646646666160655250050620231925,000$
9MacKenzie EntwistleXX100.00695065677170686152575761626552050610251875,000$
10Ivan Demidov (R)X100.00564069687475596340606159645150050610183940,833$
11Vasili Ponomarev (R)X100.00584368696264626362635757635150050600221813,333$
12Ville Koivunen (R)X100.00574362675862616243626059635050050600211828,333$
13Samuel BolducX98.355840766478716567406461596457500506302332,400,000$
14Jake Livingstone (R)X100.00664368667069656240575668615350050630251950,000$
15William Villeneuve (R)X100.00644466716464626340645469635150050630221817,778$
16David Spacek (R)X100.00554270676165636440615559625050050600212862,500$
17Marek Alscher (R)X100.00614263626361595840555561585050050580203865,000$
Rayé
1Marc McLaughlin (R)XXX100.00624270626566646049585358585350050580251883,750$
2Francesco Pinelli (R)X100.00594368656465636343575853625050050580212845,000$
3Trevor Kuntar (R)X100.00605357626465636147555454595250050570232867,500$
4Filip Mesar (R)X100.00584167625861595841585456585050050570203886,667$
5Blake Biondi (R)X100.00604066596259575546535355555150050550222625,000$
6Artem AnisimovX100.005240625457555553455151515375620505403621,750,000$
7Josh Bloom (R)X100.00564066616354525339515054565050050540212836,667$
8Linus Oberg (R)X100.00525554545551515254515154535555050530242625,000$
9Alexander Nikishin (R)X100.00525554545551515254515154535555050530232620,000$
MOYENNE D’ÉQUIPE99.9260436967666663634761596063565205061
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
1Joel Blomqvist (R)100.0073676876717170707371685250050650221825,000$
2Cal Petersen100.007570726270697168697266645705064N02921,100,000$
Rayé
MOYENNE D’ÉQUIPE100.007469706971707169717267585405065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Dillon DubeWolf Pack (Ran)C/LW/RW231028381295415049123320.41%951822.55491311530001352063.53%532414001.4700100241
2Cutter GauthierWolf Pack (Ran)LW231815331040302893254919.35%754023.50551015520002364354.05%371810011.2200000423
3Matvei MichkovWolf Pack (Ran)RW231318315120511892255514.13%1351022.2039121651000033146.43%28326011.2100000332
4Kailer YamamotoWolf Pack (Ran)C/RW23111526-52610333860194018.33%1549821.694488420001261257.40%3311112001.0400011221
5Shane WrightWolf Pack (Ran)C/LW2391322-560291752174017.31%644319.293368400000143152.63%19817000.9900000131
6Nils AmanWolf Pack (Ran)C/LW/RW239716220241525181636.00%135915.641342410001231160.61%33812010.8900000103
7Georgii MerkulovWolf Pack (Ran)C2359141200292532102215.63%1145419.7610112000010158.23%791117000.6200000022
8Ivan DemidovWolf Pack (Ran)RW236612940331234111617.65%731413.6501102000010027.27%1159000.7600000112
9Jake LivingstoneWolf Pack (Ran)D23110111528104436191095.26%2960726.41044359000135000%0130000.3600101000
10Ville KoivunenWolf Pack (Ran)RW23191021153124213104.76%1241217.940000000000000%1217000.4800100000
11David SpacekWolf Pack (Ran)D231910-11610221825794.00%2753023.08101136000030000%0421000.3800011000
12Valtteri PuustinenWolf Pack (Ran)LW/RW23729-42022212672526.92%639717.28000050002100060.47%43117000.4500000100
13MacKenzie EntwistleWolf Pack (Ran)C/RW23448104038191761123.53%530613.3200000000002081.82%1156000.5200000100
14Samuel BolducWolf Pack (Ran)D1003374041111250%1327527.50000028000015000%044000.2200000000
15William VilleneuveWolf Pack (Ran)D10033-2405117540%520520.58033119000112000%006000.2900000000
Statistiques d’équipe totales ou en moyenne31995151246671324043634356317734416.87%166637619.9922416366436000924816960.00%1125124188030.7700323161715
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
1Joel BlomqvistWolf Pack (Ran)2315600.8752.93131022645122520100230100
2Cal PetersenWolf Pack (Ran)31100.8545.147000641160000023000
Statistiques d’équipe totales ou en moyenne2616700.8733.04138022705532680102323100


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 NikishinWolf Pack (Ran)D232001-10-02RUSYes216 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Artem Anisimov (contrat à 1 volet)Wolf Pack (Ran)C361988-05-24RUSNo205 Lbs6 ft4NoNoTrade2023-12-27YesYes2FalseFalsePro & Farm1,750,000$830,000$614,974$No1,750,000$--------1,750,000$--------No--------Lien
Blake BiondiWolf Pack (Ran)C222002-04-24USAYes198 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
Cal Petersen (contrat à 1 volet)Wolf Pack (Ran)G291994-10-19USANo185 Lbs6 ft1YesNoFree AgentYesYes22025-09-14FalseFalsePro & Farm1,100,000$180,000$133,368$No1,100,000$--------1,100,000$--------No--------Lien
Cutter GauthierWolf Pack (Ran)LW202004-01-19SWEYes201 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
David SpacekWolf Pack (Ran)D212003-02-18CZEYes170 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm862,500$0$0$No862,500$--------862,500$--------No--------Lien
Dillon Dube (contrat à 1 volet)Wolf Pack (Ran)C/LW/RW261998-07-20CANNo185 Lbs5 ft11NoNoFree AgentYesYes12024-09-11FalseFalsePro & Farm2,300,000$1,380,000$1,022,487$No---------------------------Lien
Filip MesarWolf Pack (Ran)RW202004-01-03SLVYes174 Lbs5 ft10NoNoProspectNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien
Francesco PinelliWolf Pack (Ran)C212003-04-11CANYes185 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm845,000$0$0$No845,000$--------845,000$--------No--------Lien
Georgii MerkulovWolf Pack (Ran)C232000-10-10RUSYes181 Lbs5 ft11NoNoTrade2023-12-27NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Ivan DemidovWolf Pack (Ran)RW182005-12-10RUSYes192 Lbs6 ft1NoNoDraftNoNo32025-07-10FalseFalsePro & Farm940,833$0$0$No940,833$940,833$-------940,833$940,833$-------NoNo-------Lien
Jake LivingstoneWolf Pack (Ran)D251999-04-16CANYes207 Lbs6 ft4NoNoTrade2024-09-19YesYes1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Joel BlomqvistWolf Pack (Ran)G222002-01-10FINYes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Josh BloomWolf Pack (Ran)LW212003-06-08CANYes183 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm836,667$0$0$No836,667$--------836,667$--------No--------Lien
Kailer Yamamoto (contrat à 1 volet)Wolf Pack (Ran)C/RW261998-09-29USANo152 Lbs5 ft8NoNoFree AgentYesYes22024-09-06FalseFalsePro & Farm2,100,000$1,180,000$874,301$No2,100,000$--------2,100,000$--------No--------Lien
Linus ObergWolf Pack (Ran)RW242000-07-18SWEYes203 Lbs5 ft11NoNoProspectNoYes22024-06-25FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
MacKenzie Entwistle (contrat à 1 volet)Wolf Pack (Ran)C/RW251999-07-14CANNo183 Lbs6 ft3NoNoFree AgentYesYes12024-09-11FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Marc McLaughlinWolf Pack (Ran)C/LW/RW251999-07-26USAYes205 Lbs6 ft0NoNoTrade2024-09-19YesYes1FalseFalsePro & Farm883,750$0$0$No---------------------------Lien
Marek AlscherWolf Pack (Ran)D202004-04-07CZEYes196 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Matvei MichkovWolf Pack (Ran)RW192004-12-09RUSYes172 Lbs5 ft10NoNoDraftNoNo32025-07-10FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Nils Aman (contrat à 1 volet)Wolf Pack (Ran)C/LW/RW242000-02-07SWENo179 Lbs6 ft2NoNoTrade2025-07-04NoYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Samuel Bolduc (contrat à 1 volet)Wolf Pack (Ran)D232000-12-09CANNo220 Lbs6 ft4NoNoFree AgentNoNo32024-09-12FalseFalsePro & Farm2,400,000$1,480,000$1,096,580$No2,400,000$2,400,000$-------2,400,000$2,400,000$-------NoNo-------Lien
Shane WrightWolf Pack (Ran)C/LW202004-01-05CANYes192 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien
Trevor KuntarWolf Pack (Ran)C232001-06-20USAYes196 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
Valtteri PuustinenWolf Pack (Ran)LW/RW251999-06-04FINYes183 Lbs5 ft9NoNoTrade2024-01-24YesYes1FalseFalsePro & Farm842,500$0$0$No---------------------------Lien
Vasili PonomarevWolf Pack (Ran)C222002-03-13RUSYes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm813,333$0$0$No---------------------------Lien
Ville KoivunenWolf Pack (Ran)RW212003-06-13FINYes168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------Lien
William VilleneuveWolf Pack (Ran)D222002-03-20CANYes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm817,778$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.07189 Lbs6 ft11.791,038,269$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cutter GauthierDillon DubeMatvei Michkov40122
2Shane WrightKailer YamamotoValtteri Puustinen30122
3Ivan DemidovGeorgii MerkulovMacKenzie Entwistle20122
4Nils AmanVille Koivunen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone40122
2David Spacek30122
320122
4Jake Livingstone10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cutter GauthierDillon DubeMatvei Michkov60122
2Shane WrightKailer YamamotoNils Aman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone60122
2David Spacek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dillon DubeCutter Gauthier60122
2Kailer YamamotoShane Wright40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone60122
2David Spacek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dillon Dube60122Jake Livingstone60122
2Kailer Yamamoto40122David Spacek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dillon DubeCutter Gauthier60122
2Kailer YamamotoShane Wright40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone60122
2David Spacek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cutter GauthierDillon DubeMatvei MichkovJake Livingstone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cutter GauthierDillon DubeMatvei MichkovJake Livingstone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kailer Yamamoto, Nils Aman, Valtteri PuustinenKailer Yamamoto, Nils AmanKailer Yamamoto
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Spacek, , David SpacekDavid Spacek,
Tirs de pénalité
Cutter Gauthier, Matvei Michkov, Shane Wright, Dillon Dube, Kailer Yamamoto
Gardien
#1 : Joel Blomqvist, #2 : Cal Petersen


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
1Bears1010000024-21010000024-20000000000000.0002350094445226130214240331310224125.00%5260.00%026140963.81%22940157.11%20634959.03%468223478216494266
2Caroline11000000523110000005230000000000021.000571200944452171302142403276215200.00%10100.00%026140963.81%22940157.11%20634959.03%468223478216494266
3Chiefs11000000541110000005410000000000021.000591400944452251302142403247426000%20100.00%026140963.81%22940157.11%20634959.03%468223478216494266
4Comets1010000013-2000000000001010000013-200.000123109444522313021424032252202150.00%10100.00%026140963.81%22940157.11%20634959.03%468223478216494266
5Cougars211000004401010000024-21100000020220.50047110194445232130214240327148404250.00%4175.00%026140963.81%22940157.11%20634959.03%468223478216494266
6Crunch11000000541000000000001100000054121.0005712009444522913021424032098204125.00%4175.00%026140963.81%22940157.11%20634959.03%468223478216494266
7Firebirds11000000422000000000001100000042221.00048120094445232130214240325112314200.00%4175.00%026140963.81%22940157.11%20634959.03%468223478216494266
8Heat11000000734000000000001100000073421.00071118009444523213021424033837204250.00%10100.00%026140963.81%22940157.11%20634959.03%468223478216494266
9Jayhawks11000000431110000004310000000000021.000448009444521613021424032446174125.00%30100.00%026140963.81%22940157.11%20634959.03%468223478216494266
10Las Vegas11000000725000000000001100000072521.00071320009444523313021424032489187342.86%20100.00%026140963.81%22940157.11%20634959.03%468223478216494266
11Manchots211000007611010000034-11100000042220.500714210094445237130214240345146355240.00%30100.00%026140963.81%22940157.11%20634959.03%468223478216494266
12Marlies10001000431000000000001000100043121.0004610009444523113021424032358192150.00%4175.00%026140963.81%22940157.11%20634959.03%468223478216494266
13Minnesota11000000909110000009090000000000021.000916250194445233130214240318112166116.67%10100.00%026140963.81%22940157.11%20634959.03%468223478216494266
14Monsters11000000413000000000001100000041321.0004812009444522513021424031364144125.00%20100.00%026140963.81%22940157.11%20634959.03%468223478216494266
15Monsters1010000046-2000000000001010000046-200.000461000944452211302142403331012182150.00%110.00%026140963.81%22940157.11%20634959.03%468223478216494266
16Oil Kings21100000510-5110000003211010000028-620.50058130094445241130214240342182348400.00%4325.00%026140963.81%22940157.11%20634959.03%468223478216494266
17Roadrunners1010000046-2000000000001010000046-200.000459009444522613021424035320625100.00%3166.67%026140963.81%22940157.11%20634959.03%468223478216494266
18Rocket11000000826000000000001100000082621.00081119009444523113021424032480196466.67%000%026140963.81%22940157.11%20634959.03%468223478216494266
19Sags1010000024-21010000024-20000000000000.00022400944452311302142403301321811100.00%10100.00%026140963.81%22940157.11%20634959.03%468223478216494266
20Sound Tigers11000000422110000004220000000000021.0004610009444521913021424031754142150.00%2150.00%026140963.81%22940157.11%20634959.03%468223478216494266
21Thunder10001000541000000000001000100054121.0005813009444522713021424031752235240.00%10100.00%026140963.81%22940157.11%20634959.03%468223478216494266
Total24148020001007525106400000392910148402000614615320.667100161261129444525871302142403577185148461712535.21%491275.51%026140963.81%22940157.11%20634959.03%468223478216494266
_Since Last GM Reset24148020001007525106400000392910148402000614615320.667100161261129444525871302142403577185148461712535.21%491275.51%026140963.81%22940157.11%20634959.03%468223478216494266
_Vs Conference9340200032302413000001114-35210200021165100.556325284009444522221302142403229714217024937.50%21576.19%026140963.81%22940157.11%20634959.03%468223478216494266
_Vs Division620000002215741000000141222100000083540.333223860009444521241302142403133342610017529.41%13376.92%026140963.81%22940157.11%20634959.03%468223478216494266

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2432W110016126158757718514846112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
24148200010075
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
106400003929
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
148420006146
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
712535.21%491275.51%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
1302142403944452
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
26140963.81%22940157.11%20634959.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
468223478216494266


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-10-072Manchots4Wolf Pack3LSommaire du match
3 - 2025-10-099Wolf Pack5Crunch4WSommaire du match
5 - 2025-10-1129Wolf Pack4Manchots2WSommaire du match
6 - 2025-10-1238Bears4Wolf Pack2LSommaire du match
8 - 2025-10-1451Oil Kings2Wolf Pack3WSommaire du match
10 - 2025-10-1661Wolf Pack4Marlies3WXSommaire du match
12 - 2025-10-1880Wolf Pack8Rocket2WSommaire du match
14 - 2025-10-2093Minnesota0Wolf Pack9WSommaire du match
17 - 2025-10-23116Sags4Wolf Pack2LSommaire du match
20 - 2025-10-26146Wolf Pack7Heat3WSommaire du match
22 - 2025-10-28163Wolf Pack1Comets3LSommaire du match
24 - 2025-10-30175Wolf Pack2Oil Kings8LSommaire du match
26 - 2025-11-01193Wolf Pack4Firebirds2WSommaire du match
29 - 2025-11-04206Caroline2Wolf Pack5WSommaire du match
32 - 2025-11-07227Wolf Pack2Cougars0WSommaire du match
33 - 2025-11-08237Sound Tigers2Wolf Pack4WSommaire du match
35 - 2025-11-10253Jayhawks3Wolf Pack4WSommaire du match
37 - 2025-11-12265Wolf Pack5Thunder4WXSommaire du match
40 - 2025-11-15290Wolf Pack4Monsters1WSommaire du match
41 - 2025-11-16299Cougars4Wolf Pack2LSommaire du match
43 - 2025-11-18313Wolf Pack7Las Vegas2WSommaire du match
45 - 2025-11-20326Wolf Pack4Monsters6LSommaire du match
47 - 2025-11-22344Wolf Pack4Roadrunners6LSommaire du match
49 - 2025-11-24355Chiefs4Wolf Pack5WSommaire du match
51 - 2025-11-26368Wolf Pack-Caroline-
53 - 2025-11-28376Wolf Pack-Bruins-
54 - 2025-11-29391Thunder-Wolf Pack-
57 - 2025-12-02415Stars-Wolf Pack-
59 - 2025-12-04427Wolf Pack-Senators-
61 - 2025-12-06441Monsters-Wolf Pack-
62 - 2025-12-07458Las Vegas-Wolf Pack-
65 - 2025-12-10476Wolf Pack-Baby Hawks-
68 - 2025-12-13500Rocket-Wolf Pack-
70 - 2025-12-15515Admirals-Wolf Pack-
71 - 2025-12-16523Comets-Wolf Pack-
73 - 2025-12-18541Wolf Pack-Chiefs-
75 - 2025-12-20549Phantoms-Wolf Pack-
76 - 2025-12-21567Wolf Pack-Jayhawks-
78 - 2025-12-23576Wolf Pack-Bears-
82 - 2025-12-27588Wolf Pack-Sound Tigers-
84 - 2025-12-29608Wolf Pack-Caroline-
86 - 2025-12-31622Wolf Pack-Bears-
88 - 2026-01-02641Wolf Pack-Cabaret Lady Mary Ann-
91 - 2026-01-05662Roadrunners-Wolf Pack-
94 - 2026-01-08685Crunch-Wolf Pack-
96 - 2026-01-10697Wolf Pack-Bruins-
98 - 2026-01-12718Firebirds-Wolf Pack-
100 - 2026-01-14737Senators-Wolf Pack-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19779Wolf Pack-Admirals-
106 - 2026-01-20787Wolf Pack-Monarchs-
109 - 2026-01-23808Wolf Pack-Sags-
112 - 2026-01-26826Bruins-Wolf Pack-
114 - 2026-01-28842Wolf Pack-Sound Tigers-
115 - 2026-01-29849Sound Tigers-Wolf Pack-
117 - 2026-01-31861Wolf Pack-Manchots-
122 - 2026-02-05906Caroline-Wolf Pack-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28934Manchots-Wolf Pack-
147 - 2026-03-02953Monsters-Wolf Pack-
150 - 2026-03-05975Marlies-Wolf Pack-
152 - 2026-03-07991Wolf Pack-Spiders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-03-091008Wolf Pack-Phantoms-
155 - 2026-03-101017Heat-Wolf Pack-
157 - 2026-03-121036Wolf Pack-Oceanics-
159 - 2026-03-141046Wolf Pack-Minnesota-
161 - 2026-03-161065Monarchs-Wolf Pack-
163 - 2026-03-181077Spiders-Wolf Pack-
164 - 2026-03-191086Wolf Pack-Monsters-
167 - 2026-03-221110Oceanics-Wolf Pack-
168 - 2026-03-231119Senators-Wolf Pack-
170 - 2026-03-251136Wolf Pack-Marlies-
172 - 2026-03-271151Baby Hawks-Wolf Pack-
174 - 2026-03-291167Cabaret Lady Mary Ann-Wolf Pack-
176 - 2026-03-311182Spiders-Wolf Pack-
178 - 2026-04-021195Rocket-Wolf Pack-
180 - 2026-04-041207Cougars-Wolf Pack-
181 - 2026-04-051227Bears-Wolf Pack-
184 - 2026-04-081244Crunch-Wolf Pack-
187 - 2026-04-111268Wolf Pack-Stars-
189 - 2026-04-131283Wolf Pack-Cabaret Lady Mary Ann-
191 - 2026-04-151302Wolf Pack-Thunder-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance15,9876,803
Assistance PCT79.94%68.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-7 2279 - 75.97% 93,065$930,648$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
452,005$ 1,764,653$ 1,764,653$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,143$ 452,005$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,885,009$ 143 9,143$ 1,307,449$




Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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