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Marmots
GP: 74 | W: 36 | L: 36 | OTL: 2 | P: 74
GF: 191 | GA: 199 | PP%: 20.17% | PK%: 87.84%
DG: Patrick Gagnon | Morale : 90 | Moyenne d’équipe : 58
Prochains matchs #1140 vs CoolFm

Centre de jeu
Marmots
36-36-2, 74pts
2
3 Wolves
44-23-6, 94pts
Team Stats
W1SéquenceW5
24-12-0Fiche domicile21-11-4
12-24-2Fiche domicile23-12-2
2-7-1Derniers 10 matchs7-1-2
2.58Buts par match 3.48
2.69Buts contre par match 2.89
20.17%Pourcentage en avantage numérique18.08%
87.84%Pourcentage en désavantage numérique83.77%
Bayou
36-32-5, 77pts
2
4 Marmots
36-36-2, 74pts
Team Stats
L1SéquenceW1
24-10-2Fiche domicile24-12-0
12-22-3Fiche domicile12-24-2
5-5-0Derniers 10 matchs2-7-1
3.52Buts par match 2.58
3.48Buts contre par match 2.69
16.03%Pourcentage en avantage numérique20.17%
81.65%Pourcentage en désavantage numérique87.84%
CoolFm
37-31-4, 78pts
Jour 92
Marmots
36-36-2, 74pts
Statistiques d’équipe
L1SéquenceW1
20-15-2Fiche domicile24-12-0
17-16-2Fiche visiteur12-24-2
7-2-110 derniers matchs2-7-1
3.35Buts par match 2.58
3.63Buts contre par match 2.58
16.17%Pourcentage en avantage numérique20.17%
84.28%Pourcentage en désavantage numérique87.84%
Marmots
36-36-2, 74pts
Jour 94
Supreme
43-22-6, 92pts
Statistiques d’équipe
W1SéquenceL1
24-12-0Fiche domicile20-14-3
12-24-2Fiche visiteur23-8-3
2-7-110 derniers matchs3-4-3
2.58Buts par match 3.65
2.69Buts contre par match 3.65
20.17%Pourcentage en avantage numérique14.45%
87.84%Pourcentage en désavantage numérique83.45%
TigersCats
44-22-6, 94pts
Jour 95
Marmots
36-36-2, 74pts
Statistiques d’équipe
W3SéquenceW1
23-10-3Fiche domicile24-12-0
21-12-3Fiche visiteur12-24-2
4-5-110 derniers matchs2-7-1
3.69Buts par match 2.58
3.00Buts contre par match 2.58
18.64%Pourcentage en avantage numérique20.17%
84.20%Pourcentage en désavantage numérique87.84%
Meneurs d'équipe
Calle JarnkrokButs
Calle Jarnkrok
15
Jeff PetryPasses
Jeff Petry
26
Jeff PetryPoints
Jeff Petry
37
Cameron HughesPlus/Moins
Cameron Hughes
2
Jonas JohanssonVictoires
Jonas Johansson
26
Semyon VarlamovPourcentage d’arrêts
Semyon Varlamov
0.958

Statistiques d’équipe
Buts pour
191
2.58 GFG
Tirs pour
1757
23.74 Avg
Pourcentage en avantage numérique
20.2%
71 GF
Début de zone offensive
36.7%
Buts contre
199
2.69 GAA
Tirs contre
2432
32.86 Avg
Pourcentage en désavantage numérique
87.8%%
36 GA
Début de la zone défensive
44.7%
Informations de l'équipe

Directeur généralPatrick Gagnon
EntraîneurJoe Sacco
DivisionDivision Ouest
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2Jeff Petry


Informations de l’aréna

Capacité3,000
Assistance1,555
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite Contrat44 / 50
Espoirs14


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
1Vladimir TarasenkoX96.006345938076749762306361556993850906603334,400,000$
2Vinnie HinostrozaX95.007045888252654656305161616791810905903141,330,000$
3Patrick Giles (R)X95.007045957383504047644054675085720905802543,000,000$
4Ethan CardwellX100.00544592785258404730405473508271090560232800,000$
5Brendan GaunceX100.00664590738050404730445061509178090560314820,000$
6Cameron HughesX100.00504595804450404530405055508774090520285850,000$
7Josiah Slavin (R)X100.00504595776050404530405055508572090520263775,000$
8Oskar Olausson (R)X100.00504595785650404530405055508269090520225900,000$
9William Dufour (R)X100.00504595746050404530405055508168090520234800,000$
10Michael Milne (R)X100.00504595785550404530405056508269090520235800,000$
11Jeff Petry (A)X96.007245857769795353305353856697900906803731,050,000$
12Jan RuttaX98.006245817867726553304957836694850906703522,500,000$
13Colin MillerX100.007845788161607257305558656792810906503242,500,000$
14Dennis Cholowski (R)X95.005045888068544757305559606787750906102751,600,000$
15Matt KierstedX100.005045927850534047304450625087750905702721,600,000$
16Cameron Crotty (R)X100.00504595785650404530405055508572090560265850,000$
Rayé
1Calle JarnkrokX99.006345908360664059306554656893830906103453,100,000$
2Andrew PoturalskiX100.00504592775472404730445061509182090550311775,000$
3Brett Murray (R)X100.00504595728850404530405057508673090540273775,000$
4Tyler PitlickX100.00504592776950404530405055509279090530334900,000$
5Kristian Reichel (R)X100.00504595776050404530405055508472090520271775,000$
6Vitaly Abramov (R)X100.00504595786050404530405055508572090520271775,000$
MOYENNE D’ÉQUIPE98.8257459178635746493246536155887609057
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
1Pheonix Copley97.00705060897070707070707093800906303342,500,000$
Rayé
1Jonas Johansson100.00735380937571717375717089800906503025,000,000$
2Semyon Varlamov100.00705068877070707070707096850906303744,500,000$
3Calvin Petersen100.00704040836565656565656589770905803042,000,000$
MOYENNE D’ÉQUIPE99.257148628870696970706969928109062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco97747371917558CAN5831,000,000$


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
1Jeff PetryMarmots (LON)D52112637-2250013381104307110.58%71124023.859122172222011013831100.00%200000.6001000652
2Calle JarnkrokMarmots (LON)RW52151833-2324066105106316314.15%1495918.4571320281741011476236.96%9200000.6902000446
3Colin MillerMarmots (LON)D60122032-146601758488274713.64%68123720.63512175619501101422041.18%1700000.5200000384
4Vinnie HinostrozaMarmots (LON)C5582331-1036010614011444747.02%11108219.68311142020300041641037.90%135900000.5701000255
5Jan RuttaMarmots (LON)D56141327-203956283103347313.59%84125522.42139227621100001342150.00%200000.4300100322
6Matt KierstedMarmots (LON)D6642125-1927578496517456.15%70128719.512574118601101522033.33%1200000.3900001224
7Patrick GilesMarmots (LON)C5061723-20260671186114399.84%1193318.68211131416110131041058.30%108400000.4900000143
8Dennis CholowskiMarmots (LON)D6271421-26435635556133512.50%54102516.5432521770001892035.71%1400000.4100001450
9Andrew PoturalskiMarmots (LON)C5212820-13801910284166014.29%1586816.692134190001430037.11%74100000.4600000345
10Vladimir TarasenkoMarmots (LON)RW4061319-325551578022567.50%486321.592810151600001220031.48%10800000.4412001243
11Brendan GaunceMarmots (LON)C639918-32320839873185912.33%8103316.410117640000570043.17%104700100.3501000323
12Cameron CrottyMarmots (LON)D6021214-202555726239128.70%5091315.220111280000570022.22%900000.3111001242
13Ethan CardwellMarmots (LON)LW4131013-108020487223524.17%1372317.65044141370000362133.78%7400000.3600000111
14Brett MurrayMarmots (LON)LW25235-4008271531513.33%140216.082025430000231059.46%7400000.2500000100
15Kristian ReichelMarmots (LON)C18235-34089116718.18%41789.93112112000070035.65%11500000.5600000020
16Josiah SlavinMarmots (LON)LW17145-94091452620.00%728616.8400013000020060.00%1000000.3500000100
17Tyler PitlickMarmots (LON)RW57055-2417528373313320%885715.05011032000050054.00%5000000.1200100001
18Vitaly AbramovMarmots (LON)LW29145-1580141017585.88%139913.760000300000110051.52%3300000.2500000001
19William DufourMarmots (LON)RW40134-6002733200125.00%546511.6400028000071041.01%21700000.1700000002
20Michael MilneMarmots (LON)LW30123-12801128229144.55%548216.080003250000161032.65%4900000.1200000002
21Cameron HughesMarmots (LON)C2102222083493130%423911.3900000000010036.26%26200000.1700000001
22Oskar OlaussonMarmots (LON)RW2000-300132000%03015.320000000000000%30000000000000
Statistiques d’équipe totales ou en moyenne948117230347-3064523010941241116333979310.06%5081676617.695192143381200023511127024543.23%537400100.4128204385247
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
1Jonas JohanssonMarmots (LON)55262810.9182.6132232414017150230.85775531457
2Pheonix CopleyMarmots (LON)115310.9292.7760720283930101.0003943222
3Semyon VarlamovMarmots (LON)31100.9581.631470149601000218100
Statistiques d’équipe totales ou en moyenne69323220.9222.5939784517222040431066641779


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrew PoturalskiMarmots (LON)C311994-01-14USANo187 Lbs5 ft10NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No---------------------------Lien NHL
Brendan GaunceMarmots (LON)C311994-03-25CANNo219 Lbs6 ft3NoNoTrade2026-06-04NoNo42026-03-08FalseFalsePro & Farm820,000$136,667$0$0$No820,000$820,000$820,000$------820,000$820,000$820,000$------NoNoNo------Lien NHL
Brett MurrayMarmots (LON)LW271998-07-20CANYes228 Lbs6 ft5NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Calle JarnkrokMarmots (LON)RW341991-09-25SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm3,100,000$516,667$0$0$No3,100,000$3,100,000$3,100,000$3,100,000$-----3,100,000$3,100,000$3,100,000$3,100,000$-----NoNoNoNo-----Lien NHL
Calvin PetersenMarmots (LON)G301994-10-19USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo42026-03-08FalseFalsePro & Farm2,000,000$333,333$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Lien NHL
Cameron CrottyMarmots (LON)D261999-05-05CANYes182 Lbs6 ft3NoNoAssign ManuallyNoNo52026-04-14FalseFalsePro & Farm850,000$141,667$0$0$No850,000$850,000$850,000$850,000$-----850,000$850,000$850,000$850,000$-----NoNoNoNo-----Lien NHL
Cameron HughesMarmots (LON)C281996-10-09CANNo160 Lbs5 ft11NoNoAssign ManuallyNoNo52026-04-14FalseFalsePro & Farm850,000$141,667$0$0$No850,000$850,000$850,000$850,000$-----850,000$850,000$850,000$850,000$-----NoNoNoNo-----Lien NHL
Colin MillerMarmots (LON)D321992-10-29CANNo200 Lbs6 ft1NoNoAssign Manually2025-01-19NoNo42026-03-08FalseFalsePro & Farm2,500,000$416,667$0$0$No2,500,000$2,500,000$2,500,000$------2,500,000$2,500,000$2,500,000$------NoNoNo------Lien NHL
Dennis CholowskiMarmots (LON)D271998-02-15CANYes210 Lbs6 ft2NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm1,600,000$266,667$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$-----1,600,000$1,600,000$1,600,000$1,600,000$-----NoNoNoNo-----Lien NHL
Ethan CardwellMarmots (LON)LW232002-08-30SWENo180 Lbs5 ft11NoNoTrade2026-05-03NoNo22026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$--------800,000$--------No--------Lien NHL
Jan RuttaMarmots (LON)D351990-07-29CZENo204 Lbs6 ft3NoNoTrade2025-03-29NoNo22026-03-08FalseFalsePro & Farm2,500,000$416,667$0$0$No2,500,000$--------2,500,000$--------No--------Lien NHL
Jeff PetryMarmots (LON)D371987-12-09USANo208 Lbs6 ft3NoNoAssign Manually2025-09-18NoNo32026-03-14FalseFalsePro & Farm1,050,000$175,000$0$0$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------Lien NHL
Jonas JohanssonMarmots (LON)G301995-09-19SWENo220 Lbs6 ft5NoNoN/ANoNo22026-03-08FalseFalsePro & Farm5,000,000$833,333$0$0$No5,000,000$--------5,000,000$--------No--------Lien NHL
Josiah SlavinMarmots (LON)LW261998-12-31USAYes189 Lbs6 ft3NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Kristian ReichelMarmots (LON)C271998-06-11CZEYes192 Lbs6 ft2NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No---------------------------
Matt KierstedMarmots (LON)D271998-04-14USANo181 Lbs6 ft0NoNoTrade2026-07-09NoNo22026-03-08FalseFalsePro & Farm1,600,000$266,667$0$0$No1,600,000$--------1,600,000$--------No--------Lien NHL
Michael MilneMarmots (LON)LW232002-09-21CANYes185 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Oskar OlaussonMarmots (LON)RW222002-11-10SWEYes180 Lbs6 ft1NoNoTrade2025-10-19NoNo52026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----Lien NHL
Patrick GilesMarmots (LON)C252000-01-03USAYes218 Lbs6 ft5NoNoAssign ManuallyNoNo42026-03-08FalseFalsePro & Farm3,000,000$500,000$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------Lien NHL
Pheonix CopleyMarmots (LON)G331992-01-18USANo200 Lbs6 ft4NoNoAssign ManuallyNoNo42026-03-08FalseFalsePro & Farm2,500,000$416,667$0$0$No2,500,000$2,500,000$2,500,000$------2,500,000$2,500,000$2,500,000$------NoNoNo------Lien NHL
Semyon VarlamovMarmots (LON)G371988-04-27RUSNo206 Lbs6 ft2NoNoAssign ManuallyNoNo42026-03-08FalseFalsePro & Farm4,500,000$750,000$0$0$No4,500,000$4,500,000$4,500,000$------4,500,000$4,500,000$4,500,000$------NoNoNo------Lien NHL
Tyler PitlickMarmots (LON)RW331991-11-01USANo199 Lbs6 ft2NoNoAssign ManuallyNoNo42026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien NHL
Vinnie HinostrozaMarmots (LON)C311994-04-03USANo183 Lbs5 ft10NoNoTrade2025-10-11NoNo42026-03-08FalseFalsePro & Farm1,330,000$221,667$0$0$No1,330,000$1,330,000$1,330,000$------1,330,000$1,330,000$1,330,000$------NoNoNo------Lien NHL
Vitaly AbramovMarmots (LON)LW271998-05-08RUSYes180 Lbs5 ft10NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No---------------------------
Vladimir TarasenkoMarmots (LON)RW331991-12-13RUSNo219 Lbs6 ft1NoNoTrade2025-07-01NoNo32026-03-08FalseFalsePro & Farm4,400,000$733,333$0$0$No4,400,000$4,400,000$-------4,400,000$4,400,000$-------NoNo-------Lien NHL
William DufourMarmots (LON)RW232002-01-28CANYes215 Lbs6 ft2NoNoTrade2026-03-12NoNo42026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2629.15197 Lbs6 ft23.421,756,731$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethan CardwellVinnie HinostrozaVladimir Tarasenko35122
2Michael MilnePatrick Giles30122
3Josiah SlavinBrendan GaunceOskar Olausson25122
4Vladimir TarasenkoCameron HughesWilliam Dufour10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryJan Rutta35122
2Colin MillerDennis Cholowski30122
3Matt KierstedCameron Crotty25122
4Jeff PetryJan Rutta10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethan CardwellVinnie HinostrozaVladimir Tarasenko55122
2Michael MilnePatrick Giles45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryJan Rutta55122
2Colin MillerDennis Cholowski45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vladimir Tarasenko55122
2Vinnie HinostrozaPatrick Giles45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryJan Rutta55122
2Colin MillerDennis Cholowski45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vladimir Tarasenko55122Jeff PetryJan Rutta55122
245122Colin MillerDennis Cholowski45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vladimir Tarasenko55122
2Vinnie HinostrozaPatrick Giles45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryJan Rutta55122
2Colin MillerDennis Cholowski45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ethan CardwellVinnie HinostrozaVladimir TarasenkoJeff PetryJan Rutta
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ethan CardwellVinnie HinostrozaVladimir TarasenkoJeff PetryJan Rutta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Gaunce, Josiah Slavin, Oskar OlaussonBrendan Gaunce, Josiah SlavinOskar Olausson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Kiersted, Cameron Crotty, Colin MillerMatt KierstedCameron Crotty, Colin Miller
Tirs de pénalité
Vladimir Tarasenko, , Vinnie Hinostroza, Patrick Giles, Brendan Gaunce
Gardien
#1 : Pheonix Copley, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Bandits22000000743110000005321100000021141.0007132000746152466569616565167522265211327.27%11190.91%0992217445.63%1198264945.22%479110743.27%179312511771523900463
2Barracudas30300000712-51010000024-22020000058-300.00071219007461524755696165651612733228215320.00%11372.73%0992217445.63%1198264945.22%479110743.27%179312511771523900463
3Bayou31200000911-2110000004222020000059-420.33391827007461524705696165651611929166316318.75%7185.71%0992217445.63%1198264945.22%479110743.27%179312511771523900463
4Chiwawa3120000038-5110000001012020000028-620.333358117461524595696165651610218566915213.33%18383.33%0992217445.63%1198264945.22%479110743.27%179312511771523900463
5Farmers2020000046-21010000023-11010000023-100.00047110074615243256961656516701623408112.50%9188.89%0992217445.63%1198264945.22%479110743.27%179312511771523900463
6Goons32100000835220000007161010000012-140.667815230174615246756961656516461512588112.50%60100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
7Grizzlies20200000211-91010000015-41010000016-500.0002460074615245456961656516741427509111.11%10460.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
8Hunters30201000611-51010000014-32010100057-220.33361016007461524475696165651610831245714214.29%110100.00%1992217445.63%1198264945.22%479110743.27%179312511771523900463
9Husky3110100012102110000006332010100067-140.667122133007461524645696165651611635457112541.67%19384.21%1992217445.63%1198264945.22%479110743.27%179312511771523900463
10Igloos2010001035-2100000102111010000014-320.5003470074615243156961656516722327439222.22%5180.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
11Marlies11000000743000000000001100000074321.000714210074615243856961656516471710306350.00%4175.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
12Outlaws41200100811-32110000045-12010010046-230.375816241074615241085696165651613841408024312.50%19384.21%0992217445.63%1198264945.22%479110743.27%179312511771523900463
13Predateurs3120000078-1211000005411010000024-220.3337132000746152458569616565169734166014535.71%6183.33%0992217445.63%1198264945.22%479110743.27%179312511771523900463
14Raptors321000001192220000009541010000024-240.66711213200746152466569616565169424286016212.50%15286.67%0992217445.63%1198264945.22%479110743.27%179312511771523900463
15Rockets2020000038-51010000023-11010000015-400.00035800746152440569616565166416215310220.00%80100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
16Sags2110000045-1110000002111010000024-220.50047110074615244156961656516451318285240.00%9277.78%0992217445.63%1198264945.22%479110743.27%179312511771523900463
17Scorpions32100000954110000004132110000054140.667916251074615247756961656516632086213323.08%40100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
18Smirnoff Ice21100000541110000004221010000012-120.50058130074615245956961656516478143811218.18%6183.33%0992217445.63%1198264945.22%479110743.27%179312511771523900463
19Snowbirds3120000036-3211000003301010000003-320.33335801746152459569616565161092232769222.22%15193.33%0992217445.63%1198264945.22%479110743.27%179312511771523900463
20Spartans32100000743220000006241010000012-140.6677101700746152461569616565168015377217211.76%15286.67%0992217445.63%1198264945.22%479110743.27%179312511771523900463
21Supreme2110000057-22110000057-20000000000020.500581300746152446569616565161032027365120.00%10280.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
22Thugs4310000015105211000007522200000085360.7501528430074615241295696165651615055369826623.08%17194.12%0992217445.63%1198264945.22%479110743.27%179312511771523900463
23TigersCats11000000431000000000001100000043121.000471100746152424569616565163398244125.00%40100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
24Twins2110000056-11010000024-21100000032120.500591410746152437569616565166221183110220.00%90100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
25Vandals330000001046110000004132200000063361.00010192900746152485569616565166618265114321.43%110100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
26Vipers310000111091110000004312000001166050.833101626007461524985696165651612941577413215.38%14192.86%0992217445.63%1198264945.22%479110743.27%179312511771523900463
27Warriors2110000056-1110000005321010000003-320.5005813007461524625696165651632131343600.00%3233.33%0992217445.63%1198264945.22%479110743.27%179312511771523900463
28Wolves3120000056-1211000003301010000023-120.333591401746152453569616565168917225719315.79%90100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
29Xpress21100000734110000006061010000013-220.5007132001746152451569616565167522274113430.77%110100.00%0992217445.63%1198264945.22%479110743.27%179312511771523900463
Total74323602121191199-8362312000101067828389240211185121-36740.500191341532457461524175756961656516243266273615993527120.17%2963687.84%2992217445.63%1198264945.22%479110743.27%179312511771523900463
_Since Last GM Reset74323602121191199-8362312000101067828389240211185121-36740.500191341532457461524175756961656516243266273615993527120.17%2963687.84%2992217445.63%1198264945.22%479110743.27%179312511771523900463
_Vs Conference271014020107378-512740001041281315310020003250-18260.48173129202027461524635569616565168592412776001212722.31%1071486.92%2992217445.63%1198264945.22%479110743.27%179312511771523900463
_Vs Division1248000003042-12523000001416-2725000001626-1080.3333053830074615243095696165651636793116278541018.52%44979.55%0992217445.63%1198264945.22%479110743.27%179312511771523900463

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7474W119134153217572432662736159945
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7432362121191199
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362312001010678
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
38924211185121
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3527120.17%2963687.84%2
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
569616565167461524
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
992217445.63%1198264945.22%479110743.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
179312511771523900463


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
13Outlaws1Marmots2WSommaire du match
330Marmots4Scorpions1WSommaire du match
438Thugs3Marmots1LSommaire du match
559Goons0Marmots1WSommaire du match
666Marmots3Barracudas4LSommaire du match
782Marmots2Sags4LSommaire du match
894Marmots0Chiwawa4LSommaire du match
10114Snowbirds0Marmots2WSommaire du match
11127Marmots4Husky3WXSommaire du match
12145Marmots2Thugs1WSommaire du match
13150Marmots2Hunters5LSommaire du match
14157Spartans1Marmots3WSommaire du match
16182Raptors2Marmots3WSommaire du match
17204Hunters4Marmots1LSommaire du match
18217Marmots1Vipers2LXXSommaire du match
19230Marmots2Outlaws3LSommaire du match
20246Xpress0Marmots6WSommaire du match
22254Marmots2Bayou4LSommaire du match
23272Smirnoff Ice2Marmots4WSommaire du match
25297Chiwawa0Marmots1WSommaire du match
26316Marmots4TigersCats3WSommaire du match
27326Marmots1Xpress3LSommaire du match
28339Spartans1Marmots3WSommaire du match
29357Marmots1Smirnoff Ice2LSommaire du match
31369Goons1Marmots6WSommaire du match
32388Supreme4Marmots1LSommaire du match
34414Sags1Marmots2WSommaire du match
35428Marmots2Farmers3LSommaire du match
36441Marmots2Bandits1WSommaire du match
37453Farmers3Marmots2LSommaire du match
39472Marmots3Bayou5LSommaire du match
40483Igloos1Marmots2WXXSommaire du match
41503Scorpions1Marmots4WSommaire du match
42512Marmots1Scorpions3LSommaire du match
43526Marmots1Grizzlies6LSommaire du match
44537Marmots1Goons2LSommaire du match
45550Supreme3Marmots4WSommaire du match
46570Marmots3Vandals2WSommaire du match
47583Raptors3Marmots6WSommaire du match
48602Marmots0Snowbirds3LSommaire du match
49614Vandals1Marmots4WSommaire du match
50630Marmots6Thugs4WSommaire du match
52647Vipers3Marmots4WSommaire du match
53668Bandits3Marmots5WSommaire du match
54672Marmots2Barracudas4LSommaire du match
55690Marmots5Vipers4WXXSommaire du match
56705Marmots7Marlies4WSommaire du match
57712Thugs2Marmots6WSommaire du match
58733Warriors3Marmots5WSommaire du match
59750Marmots2Raptors4LSommaire du match
60762Marmots3Vandals1WSommaire du match
61776Outlaws4Marmots2LSommaire du match
63794Grizzlies5Marmots1LSommaire du match
64811Marmots1Spartans2LSommaire du match
66829Predateurs2Marmots4WSommaire du match
67844Marmots1Rockets5LSommaire du match
68859Marmots3Hunters2WXSommaire du match
69865Barracudas4Marmots2LSommaire du match
71890Predateurs2Marmots1LSommaire du match
73912Marmots2Predateurs4LSommaire du match
74919Marmots1Igloos4LSommaire du match
75932Wolves0Marmots1WSommaire du match
76949Marmots3Twins2WSommaire du match
77958Twins4Marmots2LSommaire du match
78979Snowbirds3Marmots1LSommaire du match
801004Marmots2Outlaws3LXSommaire du match
811017Rockets3Marmots2LSommaire du match
831037Husky3Marmots6WSommaire du match
841048Marmots0Warriors3LSommaire du match
861071Wolves3Marmots2LSommaire du match
871080Marmots2Husky4LSommaire du match
881091Marmots2Chiwawa4LSommaire du match
891104Marmots2Wolves3LSommaire du match
901115Bayou2Marmots4WSommaire du match
921140CoolFm-Marmots-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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
Assistance35,38620,580
Assistance PCT49.15%57.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
5 1555 - 51.82% 114,943$4,137,936$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,579,006$ 4,567,500$ 4,567,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,719,551$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
574,713$ 18 51,551$ 927,918$




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

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