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Marmots
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Patrick Gagnon | Morale : 90 | Moyenne d’équipe : 57
Prochains matchs #3 vs Outlaws

Outlaws
0-0-0, 0pts
Jour 1
Marmots
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%
Marmots
0-0-0, 0pts
Jour 3
Scorpions
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%
Thugs
0-0-0, 0pts
Jour 4
Marmots
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 généralPatrick Gagnon
EntraîneurJoe Sacco
DivisionDivision Ouest
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 50
Espoirs12


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique0-0-0
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Vinnie HinostrozaX100.007045888252654656305161616791810905903151,330,000$
2Patrick Giles (R)X100.007045957383504047644054675085720905802553,000,000$
3Jacob Gaucher (R)X100.005045957863504045304050625084710905402453,000,000$
4Karsen Dorwart (R)X100.005645927763554045304050615082700905402353,000,000$
5Tim Washe (R)X100.005045957479504045304050575083700905302453,000,000$
6Kristian Reichel (R)X100.00504595776050404530405055508472090520272775,000$
7Josiah Slavin (R)X100.00504595776050404530405055508572090520264775,000$
8Michael Milne (R)X100.00504595785550404530405056508269090520236800,000$
9Max McCormickX100.00504595775750404530405055509178090520332775,000$
10Vitaly Abramov (R)X100.00504595786050404530405055508572090520272775,000$
11Mark FriedmanX100.005245817850594045304050695089770905802923,000,000$
12Dillon HeatheringtonX100.00504595747650404530405055508774090570303800,000$
13Brogan RaffertyX100.00504595766050404530405055508875090560292775,000$
Rayé
1Nicolas Aube-KubelX100.008848717471504049304454595088750905602911,000,000$
2Andrew PoturalskiX100.00504592775472404730445061509182090550312775,000$
3Brett Murray (R)X100.00504595728850404530405057508673090540274775,000$
4Samuel Walker (R)X100.00504595785150404530405055508471090520261775,000$
5Sheldon RempalX100.00504590815050404530405055508875090520302775,000$
6Jan RuttaX100.006245817867726553304957836694850906703532,500,000$
7Colin MillerX100.007845788161607257305558656792810906503252,500,000$
MOYENNE D’ÉQUIPE100.0056459177635443473242526053877509056
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
1Jonas Johansson100.00735380937571717375717089800906503035,000,000$
2Jesper Wallstedt (R)100.00705060917070707070707082690906202231,200,000$
Rayé
1Semyon Varlamov100.00705068877070707070707096850906303754,500,000$
2Pheonix Copley100.00705060897070707070707093800906303352,500,000$
3Calvin Petersen100.00704040836565656565656589770905803052,000,000$
MOYENNE D’ÉQUIPE100.007149628970696970706969907809062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco97747371917558CAN5741,000,000$


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 Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrew PoturalskiMarmots (LON)C311994-01-14USANo187 Lbs5 ft10NoNoN/ANoNo22025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Brett MurrayMarmots (LON)LW271998-07-20CANYes228 Lbs6 ft5NoNoAssign ManuallyNoNo42025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Brogan RaffertyMarmots (LON)D291995-10-12USANo195 Lbs6 ft0NoNoN/ANoNo22025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Calvin PetersenMarmots (LON)G301994-10-19USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo52025-09-26FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$-----2,000,000$2,000,000$2,000,000$2,000,000$-----NoNoNoNo-----
Colin MillerMarmots (LON)D321992-10-29CANNo200 Lbs6 ft1NoNoAssign Manually2025-01-19NoNo52025-09-25FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----Lien NHL
Dillon HeatheringtonMarmots (LON)D301995-05-09CANNo215 Lbs6 ft4NoNoTrade2025-03-20NoNo32025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Jacob GaucherMarmots (LON)C242001-03-09USAYes185 Lbs6 ft3NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien NHL
Jan RuttaMarmots (LON)D351990-07-29CZENo204 Lbs6 ft3NoNoTrade2025-03-29NoNo32025-09-11FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien NHL
Jesper WallstedtMarmots (LON)G222002-11-14SWEYes214 Lbs6 ft3NoNoTrade2025-01-18NoNo32025-09-11FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien NHL
Jonas JohanssonMarmots (LON)G301995-09-19SWENo220 Lbs6 ft5NoNoN/ANoNo32025-09-11FalseFalsePro & Farm5,000,000$5,000,000$0$0$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------NoNo-------Lien NHL
Josiah SlavinMarmots (LON)LW261998-12-31USAYes189 Lbs6 ft3NoNoAssign ManuallyNoNo42025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Karsen DorwartMarmots (LON)LW232002-09-17USAYes194 Lbs6 ft1NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien NHL
Kristian ReichelMarmots (LON)C271998-06-11CZEYes192 Lbs6 ft2NoNoN/ANoNo22025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------
Mark FriedmanMarmots (LON)D291995-12-25CANNo185 Lbs5 ft11NoNoN/ANoNo22025-09-11FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Lien NHL
Max McCormickMarmots (LON)RW331992-05-01USANo188 Lbs5 ft11NoNoN/ANoNo22025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Michael MilneMarmots (LON)LW232002-09-21CANYes185 Lbs5 ft11NoNoProspectNoNo62025-09-21FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$800,000$800,000$----800,000$800,000$800,000$800,000$800,000$----NoNoNoNoNo----Lien NHL
Nicolas Aube-KubelMarmots (LON)LW291996-05-10CANNo207 Lbs6 ft0NoNoTrade2025-07-06NoNo12025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------Lien NHL
Patrick GilesMarmots (LON)RW252000-01-03USAYes218 Lbs6 ft5NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien NHL
Pheonix CopleyMarmots (LON)G331992-01-18USANo200 Lbs6 ft4NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----Lien NHL
Samuel WalkerMarmots (LON)RW261999-06-07USAYes180 Lbs5 ft10NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Semyon VarlamovMarmots (LON)G371988-04-27RUSNo206 Lbs6 ft2NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm4,500,000$4,500,000$0$0$No4,500,000$4,500,000$4,500,000$4,500,000$-----4,500,000$4,500,000$4,500,000$4,500,000$-----NoNoNoNo-----Lien NHL
Sheldon RempalMarmots (LON)LW301995-08-07CANNo173 Lbs5 ft11NoNoN/ANoNo22025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Tim WasheMarmots (LON)C242001-08-25USAYes215 Lbs6 ft3NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien NHL
Vinnie HinostrozaMarmots (LON)C311994-04-03USANo183 Lbs5 ft10NoNoTrade2025-10-11NoNo52025-09-25FalseFalsePro & Farm1,330,000$1,330,000$0$0$No1,330,000$1,330,000$1,330,000$1,330,000$-----1,330,000$1,330,000$1,330,000$1,330,000$-----NoNoNoNo-----Lien NHL
Vitaly AbramovMarmots (LON)RW271998-05-08RUSYes180 Lbs5 ft10NoNoN/ANoNo22025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.52197 Lbs6 ft13.481,844,200$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Patrick Giles35122
2Karsen DorwartJacob Gaucher30122
3Josiah SlavinTim WasheVitaly Abramov25122
4Michael MilneKristian ReichelMax McCormick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Mark FriedmanDillon Heatherington30122
3Brogan RaffertyMichael Milne25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Patrick Giles55122
2Karsen DorwartJacob Gaucher45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Mark FriedmanDillon Heatherington45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Patrick Giles55122
2Jacob Gaucher45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Mark FriedmanDillon Heatherington45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
2Patrick Giles45122Mark FriedmanDillon Heatherington45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Patrick Giles55122
2Jacob Gaucher45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Mark FriedmanDillon Heatherington45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Patrick Giles
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Patrick Giles
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tim Washe, Josiah Slavin, Vitaly AbramovTim Washe, Josiah SlavinVitaly Abramov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brogan Rafferty, Mark Friedman, Dillon HeatheringtonBrogan RaffertyMark Friedman, Dillon Heatherington
Tirs de pénalité
, Patrick Giles, , Jacob Gaucher, Karsen Dorwart
Gardien
#1 : Jonas Johansson, #2 : Jesper Wallstedt


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
13Outlaws-Marmots-
330Marmots-Scorpions-
438Thugs-Marmots-
559Goons-Marmots-
666Marmots-Barracudas-
782Marmots-Sags-
894Marmots-Chiwawa-
10114Snowbirds-Marmots-
11127Marmots-Husky-
12145Marmots-Thugs-
13150Marmots-Hunters-
14157Spartans-Marmots-
16182Raptors-Marmots-
17204Hunters-Marmots-
18217Marmots-Vipers-
19230Marmots-Outlaws-
20246Xpress-Marmots-
22254Marmots-Bayou-
23272Smirnoff Ice-Marmots-
25297Chiwawa-Marmots-
26316Marmots-TigersCats-
27326Marmots-Xpress-
28339Spartans-Marmots-
29357Marmots-Smirnoff Ice-
31369Goons-Marmots-
32388Supreme-Marmots-
34414Sags-Marmots-
35428Marmots-Farmers-
36441Marmots-Bandits-
37453Farmers-Marmots-
39472Marmots-Bayou-
40483Igloos-Marmots-
41503Scorpions-Marmots-
42512Marmots-Scorpions-
43526Marmots-Grizzlies-
44537Marmots-Goons-
45550Supreme-Marmots-
46570Marmots-Vandals-
47583Raptors-Marmots-
48602Marmots-Snowbirds-
49614Vandals-Marmots-
50630Marmots-Thugs-
52647Vipers-Marmots-
53668Bandits-Marmots-
54672Marmots-Barracudas-
55690Marmots-Vipers-
56705Marmots-Marlies-
57712Thugs-Marmots-
58733Warriors-Marmots-
59750Marmots-Raptors-
60762Marmots-Vandals-
61776Outlaws-Marmots-
63794Grizzlies-Marmots-
64811Marmots-Spartans-
66829Predateurs-Marmots-
67844Marmots-Rockets-
68859Marmots-Hunters-
69865Barracudas-Marmots-
71890Predateurs-Marmots-
73912Marmots-Predateurs-
74919Marmots-Igloos-
75932Wolves-Marmots-
76949Marmots-Twins-
77958Twins-Marmots-
78979Snowbirds-Marmots-
801004Marmots-Outlaws-
811017Rockets-Marmots-
831037Husky-Marmots-
841048Marmots-Warriors-
861071Wolves-Marmots-
871080Marmots-Husky-
881091Marmots-Chiwawa-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
891104Marmots-Wolves-
901115Bayou-Marmots-
921140CoolFm-Marmots-
941151Marmots-Supreme-
951171TigersCats-Marmots-
961177Marmots-Sags-
971190Marmots-CoolFm-
991209CoolFm-Marmots-
1031235Twins-Marmots-
1071263Marlies-Marmots-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets8030
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$ 4,610,500$ 4,610,500$ 1,000,000$0$
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$ 108 51,949$ 5,610,492$




Marmots 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

Marmots 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

Marmots 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
Total Saison régulière0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Marmots 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

Marmots 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