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Wolf Pack
GP: 17 | W: 10 | L: 5 | OTL: 2 | P: 22
GF: 40 | GA: 38 | PP%: 17.54% | PK%: 88.33%
DG: Joé Lanteigne | Morale : 75 | Moyenne d’équipe : 61
Prochains matchs #237 vs Condors

Centre de jeu
Wolf Pack
10-5-2, 22pts
4
FINAL
2 Monsters
12-4-1, 25pts
Team Stats
L1SéquenceW1
7-1-1Fiche domicile6-2-0
3-4-1Fiche domicile6-2-1
6-3-1Derniers 10 matchs8-1-1
2.35Buts par match 3.00
2.24Buts contre par match 2.53
17.54%Pourcentage en avantage numérique22.22%
88.33%Pourcentage en désavantage numérique74.36%
Bears
9-8-0, 18pts
2
FINAL
0 Wolf Pack
10-5-2, 22pts
Team Stats
W1SéquenceL1
4-4-0Fiche domicile7-1-1
5-4-0Fiche domicile3-4-1
6-4-0Derniers 10 matchs6-3-1
2.94Buts par match 2.35
2.71Buts contre par match 2.24
18.00%Pourcentage en avantage numérique17.54%
89.13%Pourcentage en désavantage numérique88.33%
Wolf Pack
10-5-2, 22pts
2026-10-29
Condors
12-3-0, 24pts
Statistiques d’équipe
L1SéquenceW8
7-1-1Fiche domicile7-2-0
3-4-1Fiche visiteur5-1-0
6-3-110 derniers matchs8-2-0
2.35Buts par match 3.00
2.24Buts contre par match 3.00
17.54%Pourcentage en avantage numérique22.64%
88.33%Pourcentage en désavantage numérique91.89%
Wolf Pack
10-5-2, 22pts
2026-10-31
Crunch
5-10-1, 11pts
Statistiques d’équipe
L1SéquenceL2
7-1-1Fiche domicile2-6-1
3-4-1Fiche visiteur3-4-0
6-3-110 derniers matchs2-7-1
2.35Buts par match 2.81
2.24Buts contre par match 2.81
17.54%Pourcentage en avantage numérique10.00%
88.33%Pourcentage en désavantage numérique84.09%
Condors
12-3-0, 24pts
2026-11-03
Wolf Pack
10-5-2, 22pts
Statistiques d’équipe
W8SéquenceL1
7-2-0Fiche domicile7-1-1
5-1-0Fiche visiteur3-4-1
8-2-010 derniers matchs6-3-1
3.00Buts par match 2.35
2.20Buts contre par match 2.35
22.64%Pourcentage en avantage numérique17.54%
91.89%Pourcentage en désavantage numérique88.33%
Meneurs d'équipe
Joshua RoyButs
Joshua Roy
6
Olli MaattaPasses
Olli Maatta
10
Joshua RoyPoints
Joshua Roy
12
Jacob MelansonPlus/Moins
Jacob Melanson
4
Zach SawchenkoVictoires
Zach Sawchenko
10
Zach SawchenkoPourcentage d’arrêts
Zach Sawchenko
0.924

Statistiques d’équipe
Buts pour
40
2.35 GFG
Tirs pour
376
22.12 Avg
Pourcentage en avantage numérique
17.5%
10 GF
Début de zone offensive
35.5%
Buts contre
38
2.24 GAA
Tirs contre
502
29.53 Avg
Pourcentage en désavantage numérique
88.3%%
7 GA
Début de la zone défensive
45.9%
Informations de l'équipe

Directeur généralJoé Lanteigne
EntraîneurJoel Bouchard
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,914
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 70
Espoirs18


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
1Jansen HarkinsXXX100.00784385717778826581676663657170075660291787,500$
2Joshua RoyXX100.00633788667389826468586559666365075630231835,000$
3Akil ThomasXXX100.00683889657377715963605862646668075620261775,000$
4Marc McLaughlinXX100.00683889627579775963595860576669075620273775,000$
5Jacob MelansonXX100.00824271607681805867575956616365075610231826,111$
6Kai Uchacz (R)X100.00734172568279865762595863556365075610233775,000$
7Nathan GaucherXX100.00784970588976835761555662586365075610222886,666$
8Ozzy WiesblattXX100.00704268646777806263615762606466075610241775,000$
9Jan MysakXX100.00583787616786835863605956616466075600243775,000$
10Jared DavidsonX100.00673973606981855861576057626466075600241862,500$
11Tyler BoucherXX100.00695670597879775754565855596365075600231863,334$
12Ben ChiarotX100.0077757367889290633068607951847507568N03531,000,000$
13Luke SchennX100.0091817863858684623066537348907707566N03631,000,000$
14Olli MaattaX100.0058369565828982623074567549827307566N03231,000,000$
15Travis HamonicX100.0072478264768775623066527548867607564N03631,000,000$
16Charles-Alexis LegaultX100.00774568629081785830605964506365075620232915,833$
17Frederic BrunetX100.00723986608381855830615663486265075620231860,000$
18Christian KyrouX100.00573694646670775930625655486365075600231878,333$
Rayé
1Jan JenikX100.00704170598077785860565761586668075600262800,000$
2Samuel SavoieXX100.00613882596879855654585755596264075590222846,666$
3Noel Nordh (R)X100.00713895568064825550545357526163075590213835,000$
4Colby Barlow (R)X100.00633792587275715651535552586163075580213886,666$
5Michael CallahanX100.00684084607981835730565563486769075610273775,000$
6Maxence GuenetteX100.00653984607471795830615557486567075600252800,000$
7Djibril ToureX100.00905653559964735430535361456365075590232800,000$
8Sawyer Mynio (R)X100.00633977597274705630605355466163075580213806,666$
MOYENNE D’ÉQUIPE100.0070448061787980594860576255676707562
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
1Zach Sawchenko100.0072827774717072717072716983075630282800,000$
2Stanislav Berezhnoy100.006777739066656766656766636907560N0233900,000$
Rayé
MOYENNE D’ÉQUIPE100.007080758269687069687069667607562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard69736966807572CAN521850,000$


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
1Joshua RoyWolf Pack (NYR)LW/RW176612-3205286310479.52%840423.8013412520002340050.00%7000000.5901000030
2Olli MaattaWolf Pack (NYR)D1721012-3209512821197.14%2742424.980441647000053000%000100.5700000110
3Luke SchennWolf Pack (NYR)D174711216057262981513.79%3037822.242351850000252110%000000.5800000020
4Akil ThomasWolf Pack (NYR)C/LW/RW172810110024494215294.76%437522.1202210460001611045.80%45200000.5300000110
5Marc McLaughlinWolf Pack (NYR)C/RW176410160172242113914.29%235921.162248450003620073.68%1900000.5601000101
6Travis HamonicWolf Pack (NYR)D14281026013211261116.67%1027819.92145830000033100%000000.7200000100
7Jan MysakWolf Pack (NYR)C/LW1745916061417101423.53%331018.261124460000180031.43%3500000.5811000110
8Charles-Alexis LegaultWolf Pack (NYR)D1743721404615106740.00%2132419.06303548000043210%000000.4300000003
9Jacob MelansonWolf Pack (NYR)LW/RW17347423541152271413.64%224114.1900004000161062.50%800000.5800000010
10Ozzy WiesblattWolf Pack (NYR)C/LW1743724023293752110.81%629617.47011652000001047.15%26300000.4700000101
11Nathan GaucherWolf Pack (NYR)C/RW17145-68043291913155.26%429817.5400000000001047.45%31400000.3400000011
12Ben ChiarotRangersD10123-3120321032233.33%1519119.1700001000014100%000000.3100000000
13Frederic BrunetWolf Pack (NYR)D16033160157102100%1523814.9100022000000000%000000.2500000000
14Kai UchaczWolf Pack (NYR)C170331120446166130%224714.5700000000000043.75%1600000.2400000001
15Christian KyrouWolf Pack (NYR)D9000000003010%0151.7700012000111000%00000000000000
16Jan JenikWolf Pack (NYR)C3000-100001000%031.180000100000000%00000000000000
17Jansen HarkinsWolf Pack (NYR)C/LW/RW14000000223130%0201.4600004000020050.00%80000000000000
18Jared DavidsonWolf Pack (NYR)C17000-4202513154190%239623.300006520000290050.88%1140000001000000
19Michael CallahanWolf Pack (NYR)D15000-28013104240%1317411.630000000007000%00000000000000
20Samuel SavoieWolf Pack (NYR)C/LW3000000000000%000.260000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne2883970109-5137541534737612928310.37%164498117.3010203096510000104349247.27%129900100.44140006107
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
1Zach SawchenkoWolf Pack (NYR)1710520.9242.22102921385020001.0004170303
Statistiques d’équipe totales ou en moyenne1710520.9242.22102921385020004170303


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
Akil ThomasWolf Pack (NYR)C/LW/RW262000-01-02CANNo195 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ben ChiarotRangersD351991-05-09CANNo222 Lbs6 ft3YesNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm1,000,000$1,000,000$833,333$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Charles-Alexis LegaultWolf Pack (NYR)D232003-09-05CANNo220 Lbs6 ft4NoNoFantasy DraftNoNo22025-07-04FalseFalsePro & Farm915,833$0$0$No915,833$--------915,833$--------No--------Lien / Lien NHL
Christian KyrouWolf Pack (NYR)D232003-09-16CANNo166 Lbs5 ft11NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm878,333$0$0$No---------------------------Lien / Lien NHL
Colby BarlowWolf Pack (NYR)RW212005-02-14CANYes190 Lbs6 ft0NoNoDraftNoNo32026-05-26FalseFalsePro & Farm886,666$0$0$No886,666$886,666$-------886,666$886,666$-------NoNo-------Lien
Djibril ToureWolf Pack (NYR)D232003-06-05CANNo217 Lbs6 ft7NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Frederic BrunetWolf Pack (NYR)D232003-08-21CANNo196 Lbs6 ft3NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm860,000$0$0$No---------------------------Lien / Lien NHL
Jacob MelansonWolf Pack (NYR)LW/RW232003-04-22CANNo207 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-06FalseFalsePro & Farm826,111$0$0$No---------------------------Lien / Lien NHL
Jan JenikWolf Pack (NYR)C262000-09-15CZENo199 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Jan MysakWolf Pack (NYR)C/LW242002-06-04CZENo175 Lbs5 ft11NoNoFantasy DraftNoNo32026-05-26FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Jansen HarkinsWolf Pack (NYR)C/LW/RW291997-05-23CANNo197 Lbs6 ft1NoNoTrade2026-09-02NoNo12025-07-04FalseFalsePro & Farm787,500$0$0$No---------------------------Lien / Lien NHL
Jared DavidsonWolf Pack (NYR)C242002-07-07CANNo183 Lbs5 ft11NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm862,500$0$0$No---------------------------Lien / Lien NHL
Joshua RoyWolf Pack (NYR)LW/RW232003-08-06CANNo192 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-06FalseFalsePro & Farm835,000$0$0$No---------------------------Lien / Lien NHL
Kai UchaczWolf Pack (NYR)C232003-06-24CANYes206 Lbs6 ft2NoNoDraftNoNo32026-06-30FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Luke SchennWolf Pack (NYR)D361989-11-02CANNo225 Lbs6 ft2YesNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Marc McLaughlinWolf Pack (NYR)C/RW271999-07-26USANo202 Lbs6 ft0NoNoFantasy DraftNoNo32026-05-26FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Maxence GuenetteWolf Pack (NYR)D252001-04-28CANNo181 Lbs6 ft1NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Michael CallahanWolf Pack (NYR)D271999-09-23USANo195 Lbs6 ft2NoNoFantasy DraftNoNo32026-05-26FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Nathan GaucherWolf Pack (NYR)C/RW222003-11-06CANNo226 Lbs6 ft3NoNoFantasy DraftNoNo22025-07-08FalseFalsePro & Farm886,666$0$0$No886,666$--------886,666$--------No--------Lien / Lien NHL
Noel NordhWolf Pack (NYR)LW212005-01-25SWEYes196 Lbs6 ft2NoNoDraftNoNo32026-05-26FalseFalsePro & Farm835,000$0$0$No835,000$835,000$-------835,000$835,000$-------NoNo-------Lien
Olli MaattaWolf Pack (NYR)D321994-08-22FINNo207 Lbs6 ft2YesNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ozzy WiesblattWolf Pack (NYR)C/LW242002-03-09CANNo183 Lbs5 ft10NoNoFantasy DraftNoNo12025-07-08FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Samuel SavoieWolf Pack (NYR)C/LW222004-03-25CANNo189 Lbs5 ft10NoNoFantasy DraftNoNo22025-07-08FalseFalsePro & Farm846,666$0$0$No846,666$--------846,666$--------No--------Lien / Lien NHL
Sawyer MynioWolf Pack (NYR)D212005-04-30CANYes173 Lbs6 ft1NoNoDraftNoNo32026-05-26FalseFalsePro & Farm806,666$0$0$No806,666$806,666$-------806,666$806,666$-------NoNo-------Lien
Stanislav BerezhnoyWolf Pack (NYR)G232003-06-07RUSNo218 Lbs6 ft4YesNoAssign ManuallyNoNo32026-06-26FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Travis HamonicWolf Pack (NYR)D361990-08-16CANNo193 Lbs6 ft1YesNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tyler BoucherWolf Pack (NYR)LW/RW232003-01-16USANo205 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm863,334$0$0$No---------------------------Lien / Lien NHL
Zach SawchenkoWolf Pack (NYR)G281997-12-30CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo22026-01-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.46198 Lbs6 ft12.11851,438$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jared DavidsonNathan GaucherJoshua Roy40122
2Kai UchaczAkil ThomasMarc McLaughlin30122
3Jan MysakOzzy WiesblattJacob Melanson20122
4Joshua RoyJared DavidsonAkil Thomas10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael CallahanOlli Maatta40122
2Luke SchennTravis Hamonic30122
3Charles-Alexis LegaultFrederic Brunet20122
4Olli MaattaLuke Schenn10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ozzy WiesblattJared DavidsonJoshua Roy60122
2Jan MysakAkil ThomasMarc McLaughlin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charles-Alexis LegaultOlli Maatta60122
2Frederic BrunetLuke Schenn40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Akil ThomasMarc McLaughlin60122
2Joshua RoyJared Davidson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaLuke Schenn60122
2Charles-Alexis LegaultMichael Callahan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joshua Roy60122Olli MaattaLuke Schenn60122
2Akil Thomas40122Michael CallahanCharles-Alexis Legault40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Akil ThomasMarc McLaughlin60122
2Joshua RoyOzzy Wiesblatt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke SchennFrederic Brunet60122
2Olli MaattaCharles-Alexis Legault40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc McLaughlinAkil ThomasJoshua RoyLuke SchennOlli Maatta
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc McLaughlinAkil ThomasJoshua RoyLuke SchennOlli Maatta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ozzy Wiesblatt, Jared Davidson, Jan MysakOzzy Wiesblatt, Jared DavidsonJan Mysak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Charles-Alexis Legault, Olli Maatta, Luke SchennLuke SchennOlli Maatta, Luke Schenn
Tirs de pénalité
Marc McLaughlin, Jared Davidson, Joshua Roy, Jan Mysak, Akil Thomas
Gardien
#1 : Zach Sawchenko, #2 : Stanislav Berezhnoy
Lignes d’attaque personnalisées en prolongation
Nathan Gaucher, Kai Uchacz, Joshua Roy, Jansen Harkins, Akil Thomas, Marc McLaughlin, Ozzy Wiesblatt, Jared Davidson, Jan Mysak, Jacob Melanson
Lignes de défense personnalisées en prolongation
Olli Maatta, Frederic Brunet, Charles-Alexis Legault, Michael Callahan, Luke Schenn


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
1Barracuda11000000101110000001010000000000021.000123011491522012910513792781015500.00%50100.00%021645647.37%28459048.14%11423947.70%413285396123218111
2Bears1010000002-21010000002-20000000000000.00000000149152111291051379239821300.00%4250.00%021645647.37%28459048.14%11423947.70%413285396123218111
3Checkers1010000003-3000000000001010000003-300.000000001491522112910513793714821300.00%20100.00%021645647.37%28459048.14%11423947.70%413285396123218111
4Comets1010000002-2000000000001010000002-200.000000001491522012910513793213423200.00%20100.00%021645647.37%28459048.14%11423947.70%413285396123218111
5Condors11000000413110000004130000000000021.0004610001491522812910513791728284125.00%4175.00%021645647.37%28459048.14%11423947.70%413285396123218111
6Crunch21000010642110000002111000001043141.000691500149152501291051379742214537114.29%7185.71%021645647.37%28459048.14%11423947.70%413285396123218111
7Islanders1010000015-4000000000001010000015-400.00012300149152141291051379329427400.00%20100.00%021645647.37%28459048.14%11423947.70%413285396123218111
8Monsters310002008801000010012-12100010076140.66781523001491526812910513791063924758225.00%12191.67%021645647.37%28459048.14%11423947.70%413285396123218111
9Phantoms311010001091210010008441010000025-340.66710162600149152691291051379862335739333.33%10190.00%021645647.37%28459048.14%11423947.70%413285396123218111
10Reign11000000312110000003120000000000021.00036900149152261291051379261114255120.00%60100.00%021645647.37%28459048.14%11423947.70%413285396123218111
11Thunderbirds22000000734110000002111100000052341.0007142100149152491291051379421512557228.57%6183.33%021645647.37%28459048.14%11423947.70%413285396123218111
Total178501210403829610110021129824001101926-7220.6474070110011491523761291051379502165141416571017.54%60788.33%021645647.37%28459048.14%11423947.70%413285396123218111
_Since Last GM Reset178501210403829610110021129824001101926-7220.6474070110011491523761291051379502165141416571017.54%60788.33%021645647.37%28459048.14%11423947.70%413285396123218111
_Vs Conference1235012102533-8521011001192714001101424-10120.5002542670014915225312910513793901299729336616.67%39587.18%021645647.37%28459048.14%11423947.70%413285396123218111
_Vs Division924012001926-741101100981513001001018-880.444193352001491521821291051379279937521926519.23%30486.67%021645647.37%28459048.14%11423947.70%413285396123218111

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1722L1407011037650216514141601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
178512104038
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96111002112
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82401101926
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
571017.54%60788.33%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
1291051379149152
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
21645647.37%28459048.14%11423947.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
413285396123218111


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 - 2026-09-2911Wolf Pack0Checkers3LSommaire du match
3 - 2026-10-0119Barracuda0Wolf Pack1WSommaire du match
4 - 2026-10-0228Monsters2Wolf Pack1LXSommaire du match
7 - 2026-10-0547Wolf Pack5Thunderbirds2WSommaire du match
8 - 2026-10-0659Wolf Pack2Phantoms5LSommaire du match
11 - 2026-10-0980Phantoms2Wolf Pack3WXSommaire du match
13 - 2026-10-1192Condors1Wolf Pack4WSommaire du match
14 - 2026-10-12107Wolf Pack0Comets2LSommaire du match
16 - 2026-10-14119Reign1Wolf Pack3WSommaire du match
17 - 2026-10-15131Wolf Pack3Monsters4LXSommaire du match
19 - 2026-10-17146Thunderbirds1Wolf Pack2WSommaire du match
20 - 2026-10-18156Wolf Pack1Islanders5LSommaire du match
22 - 2026-10-20169Wolf Pack4Crunch3WXXSommaire du match
23 - 2026-10-21174Crunch1Wolf Pack2WSommaire du match
26 - 2026-10-24198Phantoms2Wolf Pack5WSommaire du match
27 - 2026-10-25209Wolf Pack4Monsters2WSommaire du match
29 - 2026-10-27219Bears2Wolf Pack0LSommaire du match
31 - 2026-10-29237Wolf Pack-Condors-
33 - 2026-10-31252Wolf Pack-Crunch-
36 - 2026-11-03266Condors-Wolf Pack-
37 - 2026-11-04279Wolf Pack-IceHogs-
40 - 2026-11-07294Crunch-Wolf Pack-
41 - 2026-11-08308Wolf Pack-Canucks-
43 - 2026-11-10317IceHogs-Wolf Pack-
45 - 2026-11-12335Wolf Pack-Barracuda-
47 - 2026-11-14348Checkers-Wolf Pack-
50 - 2026-11-17367Wolf Pack-Bruins-
51 - 2026-11-18379Wolf Pack-Bears-
63 - 2026-11-30393Wranglers-Wolf Pack-
65 - 2026-12-02410Wolf Pack-Senators-
66 - 2026-12-03418Reign-Wolf Pack-
68 - 2026-12-05434Islanders-Wolf Pack-
70 - 2026-12-07449Wolf Pack-Islanders-
71 - 2026-12-08451Barracuda-Wolf Pack-
75 - 2026-12-12487Wild-Wolf Pack-
77 - 2026-12-14509Wolf Pack-Wranglers-
78 - 2026-12-15514Wolf Pack-Wild-
80 - 2026-12-17523Comets-Wolf Pack-
81 - 2026-12-18542Wolf Pack-Monsters-
83 - 2026-12-20556Senators-Wolf Pack-
95 - 2027-01-01570Wolf Pack-Comets-
97 - 2027-01-03579Gulls-Wolf Pack-
99 - 2027-01-05595Rocket-Wolf Pack-
100 - 2027-01-06606Wolf Pack-Rocket-
102 - 2027-01-08623Wolf Pack-Stars-
104 - 2027-01-10633Condors-Wolf Pack-
105 - 2027-01-11650Wolf Pack-Bears-
107 - 2027-01-13661Moose-Wolf Pack-
109 - 2027-01-15680Monsters-Wolf Pack-
111 - 2027-01-17695Wolf Pack-Phantoms-
112 - 2027-01-18703Stars-Wolf Pack-
115 - 2027-01-21720Wolf Pack-Bruins-
117 - 2027-01-23735Wolf Pack-Griffins-
119 - 2027-01-25750Wolf Pack-Phantoms-
120 - 2027-01-26753Comets-Wolf Pack-
122 - 2027-01-28770Silver Knights-Wolf Pack-
124 - 2027-01-30787Wolf Pack-Silver Knights-
126 - 2027-02-01795Bears-Wolf Pack-
127 - 2027-02-02812Wolf Pack-Moose-
130 - 2027-02-05830Griffins-Wolf Pack-
132 - 2027-02-07850Wolf Pack-Reign-
133 - 2027-02-08858Phantoms-Wolf Pack-
135 - 2027-02-10877Wolf Pack-Eagles-
136 - 2027-02-11881Eagles-Wolf Pack-
138 - 2027-02-13898Islanders-Wolf Pack-
141 - 2027-02-16920Wolf Pack-Checkers-
143 - 2027-02-18939Wolf Pack-Admirals-
144 - 2027-02-19941Canucks-Wolf Pack-
147 - 2027-02-22968Wolf Pack-Penguins-
148 - 2027-02-23975Thunderbirds-Wolf Pack-
150 - 2027-02-25989Monsters-Wolf Pack-
151 - 2027-02-26998Wolf Pack-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2027-03-011023Wolf Pack-Gulls-
155 - 2027-03-021027Penguins-Wolf Pack-
157 - 2027-03-041047Wolf Pack-Marlies-
158 - 2027-03-051048Admirals-Wolf Pack-
160 - 2027-03-071068Wolf Pack-Checkers-
161 - 2027-03-081070Marlies-Wolf Pack-
163 - 2027-03-101087Wolf Pack-Thunderbirds-
165 - 2027-03-121102Wolf Pack-Thunderbirds-
168 - 2027-03-151115Bruins-Wolf Pack-
172 - 2027-03-191144Penguins-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance17,5018,722
Assistance PCT97.23%96.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2914 - 97.12% 78,466$706,198$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
530,905$ 2,284,028$ 2,284,028$ 850,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 389,240$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,510,926$ 145 18,012$ 2,611,740$




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