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Wolf Pack
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Stéphane Descheneaux | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #13 vs Checkers

Checkers
0-0-0, 0pts
2025-08-13
Wolf Pack
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Wolf Pack
0-0-0, 0pts
2025-08-15
Islanders
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Wolf Pack
0-0-0, 0pts
2025-08-16
Americans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralStéphane Descheneaux
EntraîneurRob Murray
DivisionDivision Atlantique
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs29


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique79-74-15 (0.470%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)15 - 9 (0.625%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Josiah SlavinXX100.0065459275708375736768667561645562506602611,500,000$
2Philip TomasinoXX100.006445827568768071617573716567506750660242900,000$
3Brett MurrayXX100.007454797275777769617169726355495650650272750,000$
4Jean-Christophe BeaudinX100.0059479272707074757072677464575156506502831,500,000$
5Liam FoudyXXX100.006445857270777670726868726159475950640252750,000$
6Timothy GettingerXX100.0073507772757275696669677164595356506402731,200,000$
7James HardieXX100.0066468975716976686766706461544772506402331,200,000$
8Vinni LettieriXX100.0056419872737179676371687162695552506403011,300,000$
9Austin PoganskiXX100.006645897171697568606766666357485550630292900,000$
10Tyler SteenbergenX100.0060459472676969697469676661555156506302731,000,000$
11Nikita KorostelevXX100.0062459473727268686664666663544957506202811,000,000$
12Anderson MacdonaldXX100.007759647275717069686065676156507050620252900,000$
13Andreas BorgmanX100.0080546871717276694572747461675951506703022,000,000$
14Joshua JacobsX100.0066458472717775724569647556645350506602911,000,000$
15Nicolas BeaudinX100.006845817369777775457362745555496650660252750,000$
16Dmitri SamorukovX100.0070458375737576704569727254625462506602632,000,000$
17Lucas JohansenX100.0057479972717670724568657561514660506502711,500,000$
18Keaton MiddletonX100.008073617277757366456666716050485650640272750,000$
Rayé
1Marian StudenicXX100.006545937270687065666664676352485650620261750,000$
2Kirill MaksimovXX100.006849747272686864616565616049485950610262750,000$
3Tyson BaillieX100.005041877169646768746365664565605750610292900,000$
4Brett PollockXX100.006245877172686366626661656149485550600291800,000$
5Nick Campoli (R)X100.006345807269707062706559665645456050600263750,000$
6Dante SalituroX100.005645857169626064596060656049485750580281650,000$
7Olli JuoleviX100.006244907269727364456566715454495650630271750,000$
8Ondrej KachynaX100.006645797273697363456360695157495650620272900,000$
9Brandon CrawleyX100.006545887271676663456059685151485150610282700,000$
MOYENNE D’ÉQUIPE100.00654784727172726859676669595750585063
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
1Jean-Francois Berube100.007676757577798381818178565743506503411,000,000$
2Daniel Marmenlind100.007877777482798581818275505054506502731,500,000$
Rayé
1Benjamin Conz100.00767170747775797678788049554350620331900,000$
2Alex D'orio100.00787666797672817272747549595850610261750,000$
MOYENNE D’ÉQUIPE100.0077757276787682787879775155505063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Murray66697678999954CAN573100,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex D'orioWolf Pack (NYR)G261999-04-28CANNo207 Lbs6 ft2NoNoTrade2025-05-01NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Anderson MacdonaldWolf Pack (NYR)LW/RW252000-05-16CANNo205 Lbs6 ft2NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Andreas BorgmanWolf Pack (NYR)D301995-06-18SWENo199 Lbs6 ft0NoNoTrade2024-01-27NoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Austin PoganskiWolf Pack (NYR)LW/RW291996-02-16USANo198 Lbs6 ft1NoNoN/ANoNo22025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Benjamin ConzWolf Pack (NYR)G331991-09-13SUINo198 Lbs5 ft10NoNoTrade2024-10-27NoNo1FalseFalseFarm Only900,000$0$0$No---------------------------Lien
Brandon CrawleyWolf Pack (NYR)D281997-02-02USANo205 Lbs6 ft1NoNoN/ANoNo22025-05-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Brett MurrayWolf Pack (NYR)C/RW271998-07-20CANNo228 Lbs6 ft5NoNoProspectNoNo22024-06-03FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Brett PollockWolf Pack (NYR)LW/RW291996-03-17CANNo195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Daniel MarmenlindWolf Pack (NYR)G271997-11-20SWENo187 Lbs5 ft11NoNoTrade2025-08-05NoNo32025-07-03FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Dante SalituroWolf Pack (NYR)C281996-11-15CANNo186 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Dmitri SamorukovWolf Pack (NYR)D261999-06-16RUSNo188 Lbs6 ft3NoNoTrade2024-05-25NoNo32025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
James HardieWolf Pack (NYR)LW/RW232002-01-18CANNo180 Lbs5 ft11NoNoTrade2024-01-27NoNo32025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Jean-Christophe BeaudinWolf Pack (NYR)C281997-03-25CANNo198 Lbs6 ft1NoNoN/ANoNo32025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Jean-Francois BerubeWolf Pack (NYR)G341991-07-13CANNo177 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Joshua JacobsWolf Pack (NYR)D291996-02-15USANo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Josiah SlavinWolf Pack (NYR)LW/RW261998-12-31USANo161 Lbs6 ft0NoNoTrade2024-05-29NoNo12025-05-28FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Keaton MiddletonWolf Pack (NYR)D271998-02-10CANNo240 Lbs6 ft6NoNoProspectNoNo22024-06-03FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Kirill MaksimovWolf Pack (NYR)C/RW261999-06-01RUSNo207 Lbs6 ft3NoNoProspectNoNo22024-06-03FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Liam FoudyWolf Pack (NYR)C/LW/RW252000-02-04CANNo193 Lbs6 ft2NoNoTrade2025-05-01NoNo22024-06-03FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Lucas JohansenWolf Pack (NYR)D271997-11-16CANNo176 Lbs6 ft2NoNoTrade2024-01-27NoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Marian StudenicWolf Pack (NYR)LW/RW261998-10-28SVKNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nick CampoliWolf Pack (NYR)C261999-02-16CANYes190 Lbs5 ft11NoNoProspectNoNo32025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nicolas BeaudinWolf Pack (NYR)D251999-10-07CANNo185 Lbs5 ft11NoNoTrade2024-09-05NoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Nikita KorostelevWolf Pack (NYR)LW/RW281997-02-08RUSNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Olli JuoleviWolf Pack (NYR)D271998-05-05FINNo182 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ondrej KachynaWolf Pack (NYR)D271998-04-30CZENo203 Lbs6 ft6NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Philip TomasinoWolf Pack (NYR)LW/RW242001-07-28CANNo179 Lbs6 ft0NoNoTrade2024-11-08NoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Timothy GettingerWolf Pack (NYR)LW/RW271998-04-14USANo220 Lbs6 ft6NoNoTrade2025-02-01NoNo32025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Tyler SteenbergenWolf Pack (NYR)C271998-01-07CANNo187 Lbs5 ft10NoNoTrade2023-12-29NoNo32025-05-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Tyson BaillieWolf Pack (NYR)C291995-11-16CANNo185 Lbs5 ft10NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Vinni LettieriWolf Pack (NYR)LW/RW301995-02-06USANo195 Lbs5 ft11NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3127.39195 Lbs6 ft11.841,032,258$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josiah SlavinJean-Christophe BeaudinPhilip Tomasino30113
2James HardieBrett MurrayNikita Korostelev30113
3Timothy GettingerLiam FoudyAnderson Macdonald25122
4Austin PoganskiTyler SteenbergenVinni Lettieri15131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas BorgmanJoshua Jacobs25023
2Nicolas BeaudinDmitri Samorukov25023
3Lucas JohansenKeaton Middleton25122
4Andreas BorgmanJoshua Jacobs25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josiah SlavinBrett MurrayPhilip Tomasino50122
2Anderson MacdonaldJean-Christophe BeaudinLiam Foudy50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas BorgmanJoshua Jacobs50122
2Nicolas BeaudinDmitri Samorukov50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett MurrayJosiah Slavin50122
2Jean-Christophe BeaudinPhilip Tomasino50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas BorgmanJoshua Jacobs50122
2Nicolas BeaudinDmitri Samorukov50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Murray50122Andreas BorgmanJoshua Jacobs50122
2Jean-Christophe Beaudin50122Nicolas BeaudinDmitri Samorukov50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett MurrayJosiah Slavin50122
2Jean-Christophe BeaudinPhilip Tomasino50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas BorgmanJoshua Jacobs50122
2Nicolas BeaudinDmitri Samorukov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinBrett MurrayPhilip TomasinoAndreas BorgmanJoshua Jacobs
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinBrett MurrayTimothy GettingerAndreas BorgmanJoshua Jacobs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam Foudy, Timothy Gettinger, James HardieLiam Foudy, Timothy GettingerLiam Foudy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Samorukov, Lucas Johansen, Keaton MiddletonDmitri SamorukovDmitri Samorukov, Lucas Johansen
Tirs de pénalité
Josiah Slavin, Philip Tomasino, Brett Murray, Jean-Christophe Beaudin, Liam Foudy
Gardien
#1 : Daniel Marmenlind, #2 : Jean-Francois Berube


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-08-1313Checkers-Wolf Pack-
4 - 2025-08-1524Wolf Pack-Islanders-
5 - 2025-08-1629Wolf Pack-Americans-
7 - 2025-08-1851BruinsF-Wolf Pack-
10 - 2025-08-2170Wolf Pack-Griffins-
12 - 2025-08-2383Bears-Wolf Pack-
15 - 2025-08-26106Wolf Pack-BruinsF-
17 - 2025-08-28120Americans-Wolf Pack-
20 - 2025-08-31143Checkers-Wolf Pack-
22 - 2025-09-02158Wolf Pack-Checkers-
24 - 2025-09-04171Wolves-Wolf Pack-
26 - 2025-09-06182Wolf Pack-Rocket-
28 - 2025-09-08201Marlies-Wolf Pack-
29 - 2025-09-09209Wolf Pack-Comets-
31 - 2025-09-11226Wolf Pack-SenatorsF-
33 - 2025-09-13242Wolf Pack-Crunch-
35 - 2025-09-15254PenguinsF-Wolf Pack-
37 - 2025-09-17274Gulls-Wolf Pack-
40 - 2025-09-20292Wolf Pack-Griffins-
41 - 2025-09-21306Wolf Pack-Crunch-
43 - 2025-09-23317Iowa Wild-Wolf Pack-
46 - 2025-09-26339Icehogs-Wolf Pack-
48 - 2025-09-28355Wolf Pack-Canucks-
49 - 2025-09-29369Islanders-Wolf Pack-
52 - 2025-10-02389Wolf Pack-Roadrunners-
54 - 2025-10-04400Wolf Pack-Bears-
56 - 2025-10-06412StarsF-Wolf Pack-
58 - 2025-10-08428Wolf Pack-Americans-
60 - 2025-10-10440Americans-Wolf Pack-
63 - 2025-10-13465BruinsF-Wolf Pack-
66 - 2025-10-16491Marlies-Wolf Pack-
68 - 2025-10-18505Wolf Pack-Wranglers-
70 - 2025-10-20522Checkers-Wolf Pack-
72 - 2025-10-22540Wolf Pack-Thunderbirds-
74 - 2025-10-24553Wolves-Wolf Pack-
76 - 2025-10-26570Wolf Pack-Comets-
79 - 2025-10-29585Wolf Pack-Condors-
80 - 2025-10-30596PenguinsF-Wolf Pack-
83 - 2025-11-02619Comets-Wolf Pack-
85 - 2025-11-04631Wolf Pack-Islanders-
87 - 2025-11-06650Islanders-Wolf Pack-
90 - 2025-11-09667Wolf Pack-Reign-
91 - 2025-11-10684Wolf Pack-Americans-
93 - 2025-11-12694Comets-Wolf Pack-
96 - 2025-11-15715SenatorsF-Wolf Pack-
100 - 2025-11-19743SenatorsF-Wolf Pack-
101 - 2025-11-20757Wolf Pack-PenguinsF-
104 - 2025-11-23773Wolf Pack-Phantoms-
105 - 2025-11-24784Eagles-Wolf Pack-
108 - 2025-11-27804Wolf Pack-Phantoms-
109 - 2025-11-28816Phantoms-Wolf Pack-
112 - 2025-12-01830Wolf Pack-Marlies-
114 - 2025-12-03845Wolf Pack-Rocket-
115 - 2025-12-04852Admirals-Wolf Pack-
118 - 2025-12-07877Moose-Wolf Pack-
120 - 2025-12-09894Wolf Pack-Checkers-
122 - 2025-12-11909Moose-Wolf Pack-
124 - 2025-12-13924Wolf Pack-Wolves-
127 - 2025-12-16940Silver Knights-Wolf Pack-
129 - 2025-12-18953Wolf Pack-BruinsF-
131 - 2025-12-20970Monsters-Wolf Pack-
133 - 2025-12-22982Wolf Pack-Checkers-
135 - 2025-12-24997Wolf Pack-Firebirds-
137 - 2025-12-261012Rocket-Wolf Pack-
139 - 2025-12-281031Wolf Pack-Firebirds-
140 - 2025-12-291042Bears-Wolf Pack-
143 - 2026-01-011054Wolf Pack-PenguinsF-
146 - 2026-01-041070Rocket-Wolf Pack-
150 - 2026-01-081100Barracuda-Wolf Pack-
152 - 2026-01-101111Wolf Pack-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-01-131129Wolf Pack-Bears-
156 - 2026-01-141140Wolf Pack-Monsters-
158 - 2026-01-161149Phantoms-Wolf Pack-
160 - 2026-01-181169Crunch-Wolf Pack-
162 - 2026-01-201184Wolf Pack-SenatorsF-
164 - 2026-01-221200Crunch-Wolf Pack-
166 - 2026-01-241213Wolf Pack-Marlies-
169 - 2026-01-271229Wolf Pack-Moose-
171 - 2026-01-291242Firebirds-Wolf Pack-
174 - 2026-02-011259Wolf Pack-Moose-
177 - 2026-02-041276Bears-Wolf Pack-
183 - 2026-02-101304Firebirds-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4518
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,200,000$ 3,200,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 185 17,838$ 3,300,030$




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
1Remi Elie163526912165115416546811.11%28295418.137253272011117248.21%10.8228
2Martin Frk14465551204169613645214.38%32263218.282015357900027344.52%10.91311
3Joshua Jacobs154197998-4861851282049.31%225325821.16815231041014200%00.6000
4Jean-Christophe Beaudin1282660868435819024210.74%17182614.27713204300002247.72%00.9413
5Andreas Borgman9017466341221737911015.45%91176119.576410400002340%00.7200

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
1Jack Lafontaine81363660.8963.24453414424523530500.50014
2Jean-Francois Berube53232530.8903.2430784016615120040.85020
3Benjamin Conz175700.8863.5183700494290000.91712

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
Saison régulière
1582323902036248260-1241162101012129136-741161801024119124-580248442690437982826243081477982250252374159413602405221.67%2584383.33%31355270850.04%1429288549.53%701135251.85%1900129519886201079531
1682373504213271270141211801100130133-341161703113141137489271480751039883857242581475682841250376656813342265122.57%2624981.30%11366271250.37%1349281847.87%698138550.40%1906130019756071073534
Total Saison régulière164697406249519530-1182373902112259269-1082323504137260261-116951992214414617716516713485516281535165091502615071162269446610322.10%5209282.31%42721542050.20%2778570348.71%1399273751.11%380625963964122821521065
Séries éliminatoires
162415900000746681192000003522131367000003944-5307412720102241927473622725321046791203172368821821.95%60788.33%141289146.24%43588149.38%18839847.24%594405608191329162
Total Séries éliminatoires2415900000746681192000003522131367000003944-5307412720102241927473622725321046791203172368821821.95%60788.33%141289146.24%43588149.38%18839847.24%594405608191329162

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
1Tyson Jost24129212820348015.00%248620.284481100014147.41%00.8600
2Ryker Evans2471219-12725254316.28%3363326.38325250000000%00.6000
3Remi Elie247916121025818.64%748820.361121100012048.57%00.6500
4Dakota Joshua2477142942485712.28%344418.51000000011149.57%00.6300
5Lucas Johansen2411213-321815137.69%2044318.4801130000000%00.5900

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
1Jack Lafontaine2314510.9202.471339225568700000
2Jean-Francois Berube51120.8943.44192001110400000