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Marmots
GP: 40 | W: 21 | L: 18 | OTL: 1 | P: 43
GF: 95 | GA: 95 | PP%: 20.73% | PK%: 89.12%
DG: Patrick Gagnon | Morale : 90 | Moyenne d’équipe : 58
Prochains matchs #614 vs Vandals

Centre de jeu
Raptors
10-26-3, 23pts
3
6 Marmots
21-18-1, 43pts
Team Stats
W1SéquenceL1
6-11-3Fiche domicile15-4-0
4-15-0Fiche domicile6-14-1
4-4-2Derniers 10 matchs5-5-0
2.77Buts par match 2.38
3.59Buts contre par match 2.38
13.71%Pourcentage en avantage numérique20.73%
83.05%Pourcentage en désavantage numérique89.12%
Marmots
21-18-1, 43pts
0
3 Snowbirds
19-17-3, 41pts
Team Stats
L1SéquenceW4
15-4-0Fiche domicile11-8-1
6-14-1Fiche domicile8-9-2
5-5-0Derniers 10 matchs5-4-1
2.38Buts par match 3.05
2.38Buts contre par match 3.03
20.73%Pourcentage en avantage numérique10.81%
89.12%Pourcentage en désavantage numérique79.01%
Vandals
12-25-2, 26pts
Jour 49
Marmots
21-18-1, 43pts
Statistiques d’équipe
L4SéquenceL1
5-15-0Fiche domicile15-4-0
7-10-2Fiche visiteur6-14-1
3-7-010 derniers matchs5-5-0
1.85Buts par match 2.38
2.95Buts contre par match 2.38
13.77%Pourcentage en avantage numérique20.73%
84.56%Pourcentage en désavantage numérique89.12%
Marmots
21-18-1, 43pts
Jour 50
Thugs
22-16-1, 45pts
Statistiques d’équipe
L1SéquenceW1
15-4-0Fiche domicile11-8-1
6-14-1Fiche visiteur11-8-0
5-5-010 derniers matchs4-6-0
2.38Buts par match 3.67
2.38Buts contre par match 3.67
20.73%Pourcentage en avantage numérique16.67%
89.12%Pourcentage en désavantage numérique86.64%
Vipers
27-10-0, 54pts
Jour 52
Marmots
21-18-1, 43pts
Statistiques d’équipe
L2SéquenceL1
14-6-0Fiche domicile15-4-0
13-4-0Fiche visiteur6-14-1
7-3-010 derniers matchs5-5-0
3.65Buts par match 2.38
2.73Buts contre par match 2.38
13.02%Pourcentage en avantage numérique20.73%
85.78%Pourcentage en désavantage numérique89.12%
Meneurs d'équipe
Calle JarnkrokButs
Calle Jarnkrok
12
Jeff PetryPasses
Jeff Petry
16
Calle JarnkrokPoints
Calle Jarnkrok
25
Cameron HughesPlus/Moins
Cameron Hughes
2
Jonas JohanssonVictoires
Jonas Johansson
18
Semyon VarlamovPourcentage d’arrêts
Semyon Varlamov
0.958

Statistiques d’équipe
Buts pour
95
2.38 GFG
Tirs pour
858
21.45 Avg
Pourcentage en avantage numérique
20.7%
40 GF
Début de zone offensive
35.4%
Buts contre
95
2.38 GAA
Tirs contre
1258
31.45 Avg
Pourcentage en désavantage numérique
89.1%%
16 GA
Début de la zone défensive
45.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,535
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite Contrat44 / 50
Espoirs17


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Vinnie HinostrozaX99.007045888252654656305161616791810905903141,330,000$
2Patrick Giles (R)X100.007045957383504047644054675085720905802543,000,000$
3Andrew PoturalskiX99.00504592775472404730445061509182090550311775,000$
4Kristian Reichel (R)X100.00504595776050404530405055508472090520271775,000$
5Dennis Cholowski (R)X100.005045888068544757305559606787750906102751,600,000$
6Cameron Crotty (R)X100.00504595785650404530405055508572090560265850,000$
Rayé
1Vladimir Tarasenko (C)X100.006345938076749762306361556993850906603334,400,000$
2Calle JarnkrokX99.006345908360664059306554656893830906103453,100,000$
3Ethan CardwellX100.00544592785258404730405473508271090560232800,000$
4Nicolas Aube-KubelX100.00884871747150404930445459508875090560295850,000$
5Brett Murray (R)X100.00504595728850404530405057508673090540273775,000$
6Tyler PitlickX94.00504592776950404530405055509279090530334900,000$
7Cameron HughesX100.00504595804450404530405055508774090520285850,000$
8Josiah Slavin (R)X100.00504595776050404530405055508572090520263775,000$
9Oskar Olausson (R)X100.00504595785650404530405055508269090520225900,000$
10William Dufour (R)X94.00504595746050404530405055508168090520234800,000$
11Michael Milne (R)X100.00504595785550404530405056508269090520235800,000$
12Vitaly Abramov (R)X94.00504595786050404530405055508572090520271775,000$
13Jeff Petry (A)X93.007245857769795353305353856697900906803731,050,000$
14Jan RuttaX75.126245817867726553304957836694850906703522,500,000$
15Colin MillerX94.007845788161607257305558656792810906503242,500,000$
MOYENNE D’ÉQUIPE97.1958459078635747493246536156887609057
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 Johansson98.00735380937571717375717089800906503025,000,000$
2Pheonix Copley100.00705060897070707070707093800906303342,500,000$
Rayé
1Semyon Varlamov100.00705068877070707070707096850906303744,500,000$
2Calvin Petersen100.00704040836565656565656589770905803042,000,000$
MOYENNE D’ÉQUIPE99.507148628870696970706969928109062
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
1Calle JarnkrokMarmots (LON)RW36121325-11160427279204315.19%862617.41591420126000005250.00%3800000.8002000335
2Jeff PetryMarmots (LON)D3271623-9220754463163611.11%3977224.15671346145000085210%000000.6001000341
3Colin MillerMarmots (LON)D40111223-44801135364193417.19%4383120.794711401290000862037.50%1600000.5500000273
4Jan RuttaMarmots (LON)D409918-13275386470225012.86%5688022.028715491490000962150.00%200000.4100100211
5Vinnie HinostrozaMarmots (LON)C3331518-1016061756025385.00%463619.2929111313000021030037.38%81600000.5700000102
6Vladimir TarasenkoMarmots (LON)RW3061016-217537376315369.52%262620.8825713125000020030.77%5200000.5112001243
7Andrew PoturalskiMarmots (LON)C4010313-1720147664134815.63%1367516.902133160001310038.79%58000000.3800000224
8Patrick GilesMarmots (LON)C294913-310028643371612.12%654618.832689970001601056.87%67000000.4800000121
9Dennis CholowskiMarmots (LON)D281910-82953220187175.56%2446716.700115120000260050.00%200000.4300001120
10Ethan CardwellMarmots (LON)LW31268-108016415519423.64%1054217.510229950000321134.92%6300000.2900000111
11Cameron CrottyMarmots (LON)D26167-8120181175314.29%2142716.45000080000230025.00%800000.3300000110
12Vitaly AbramovMarmots (LON)LW16134-4406712448.33%119412.1400000000000058.82%1700000.4100000001
13William DufourMarmots (LON)RW36123-5002629170115.88%541311.5000000000001041.90%21000000.1400000002
14Michael MilneMarmots (LON)LW17123-160817116119.09%526715.7200014000071026.92%2600000.2200000002
15Tyler PitlickMarmots (LON)RW40033-13802027267210%558014.52011013000000047.06%3400000.1000000000
16Cameron HughesMarmots (LON)C1902222082993120%422311.7700000000010037.04%24300000.1800000001
17Brett MurrayMarmots (LON)LW17022-30062272120%128316.660001230000120060.71%5600000.1400000000
18Nicolas Aube-KubelMarmots (LON)LW20112-72555013244154.17%734517.280112410001231040.00%3500000.1200001000
Statistiques d’équipe totales ou en moyenne53070123193-1262522059870168219444910.26%254934317.633156872111120000559616543.13%286800000.4115103192727
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)35181610.9222.372050238110420110.8577350942
2Semyon VarlamovMarmots (LON)31100.9581.631470149601000218100
3Pheonix CopleyMarmots (LON)31100.9402.3715220610000000221110
Statistiques d’équipe totales ou en moyenne41201810.9262.32235044911238021739391152


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$430,556$0$0$No---------------------------Lien NHL
Brett MurrayMarmots (LON)LW271998-07-20CANYes228 Lbs6 ft5NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm775,000$430,556$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$1,722,222$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$1,111,111$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$472,222$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$472,222$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$1,388,889$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$888,889$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$444,444$0$0$No800,000$--------800,000$--------No--------Lien NHL
Jan Rutta (sur la masse salariale)Marmots (LON)D351990-07-29CZENo204 Lbs6 ft3NoNoTrade2025-03-29NoNo22026-03-08FalseFalsePro & Farm2,500,000$1,388,889$0$0$Yes2,500,000$--------2,500,000$--------No--------Lien NHL
Jeff PetryMarmots (LON)D371987-12-09USANo208 Lbs6 ft3NoNoAssign Manually2025-09-18NoNo32026-03-14FalseFalsePro & Farm1,050,000$583,333$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$2,777,778$0$0$No5,000,000$--------5,000,000$--------No--------Lien NHL
Josiah SlavinMarmots (LON)LW261998-12-31USAYes189 Lbs6 ft3NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm775,000$430,556$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$430,556$0$0$No---------------------------
Michael MilneMarmots (LON)LW232002-09-21CANYes185 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$444,444$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Nicolas Aube-KubelMarmots (LON)LW291996-05-10CANNo207 Lbs6 ft0NoNoAssign Manually2025-07-06NoNo52026-04-14FalseFalsePro & Farm850,000$472,222$0$0$No850,000$850,000$850,000$850,000$-----850,000$850,000$850,000$850,000$-----NoNoNoNo-----Lien NHL
Oskar OlaussonMarmots (LON)RW222002-11-10SWEYes180 Lbs6 ft1NoNoTrade2025-10-19NoNo52026-03-08FalseFalsePro & Farm900,000$500,000$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$1,666,667$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$1,388,889$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$2,500,000$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$500,000$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$738,889$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$430,556$0$0$No---------------------------
Vladimir TarasenkoMarmots (LON)RW331991-12-13RUSNo219 Lbs6 ft1NoNoTrade2025-07-01NoNo32026-03-08FalseFalsePro & Farm4,400,000$2,444,444$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$444,444$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
2529.16197 Lbs6 ft13.521,764,200$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vinnie Hinostroza35122
2Patrick Giles30122
3Andrew Poturalski25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
3Dennis CholowskiCameron Crotty25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vinnie Hinostroza55122
2Patrick Giles45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vinnie Hinostroza55122
2Patrick Giles45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vinnie Hinostroza5512255122
2Patrick Giles4512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vinnie Hinostroza55122
2Patrick Giles45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vinnie Hinostroza
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Patrick Giles
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Andrew Poturalski,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Dennis Cholowski, Cameron Crotty, Dennis Cholowski
Tirs de pénalité
, , Vinnie Hinostroza, Patrick Giles,
Gardien
#1 : Jonas Johansson, #2 : Pheonix Copley


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
1Bandits11000000211000000000001100000021121.000246004126262242783052711030148285240.00%30100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
2Barracudas1010000034-1000000000001010000034-100.000358004126262242783052711037102236116.67%110.00%0491111444.08%622141843.86%25561841.26%967670945290499258
3Bayou2020000059-4000000000002020000059-400.0005101500412626247278305271107924103911218.18%5180.00%0491111444.08%622141843.86%25561841.26%967670945290499258
4Chiwawa2110000014-3110000001011010000004-420.5001120141262623627830527110631043501119.09%14285.71%0491111444.08%622141843.86%25561841.26%967670945290499258
5Farmers2020000046-21010000023-11010000023-100.00047110041262623227830527110701623408112.50%9188.89%0491111444.08%622141843.86%25561841.26%967670945290499258
6Goons32100000835220000007161010000012-140.667815230141262626727830527110461512588112.50%60100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
7Grizzlies1010000016-5000000000001010000016-500.000123004126262232783052711041810137114.29%5260.00%0491111444.08%622141843.86%25561841.26%967670945290499258
8Hunters2020000039-61010000014-31010000025-300.0003580041262623027830527110712116409111.11%80100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
9Husky10001000431000000000001000100043121.0004812004126262172783052711031721285360.00%8275.00%0491111444.08%622141843.86%25561841.26%967670945290499258
10Igloos10000010211100000102110000000000021.0002240041262621127830527110481523246116.67%30100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
11Outlaws21100000440110000002111010000023-120.500481200412626251278305271105013123714321.43%60100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
12Raptors22000000954220000009540000000000041.0009172600412626238278305271105716124011218.18%60100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
13Sags2110000045-1110000002111010000024-220.50047110041262624127830527110451318285240.00%9277.78%0491111444.08%622141843.86%25561841.26%967670945290499258
14Scorpions32100000954110000004132110000054140.667916251041262627727830527110632086213323.08%40100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
15Smirnoff Ice21100000541110000004221010000012-120.50058130041262625927830527110478143811218.18%6183.33%0491111444.08%622141843.86%25561841.26%967670945290499258
16Snowbirds2110000023-1110000002021010000003-320.5002350141262624427830527110621324527228.57%11190.91%0491111444.08%622141843.86%25561841.26%967670945290499258
17Spartans22000000624220000006240000000000041.000681400412626244278305271105613124513215.38%6183.33%0491111444.08%622141843.86%25561841.26%967670945290499258
18Supreme2110000057-22110000057-20000000000020.500581300412626246278305271101032027365120.00%10280.00%0491111444.08%622141843.86%25561841.26%967670945290499258
19Thugs2110000034-11010000013-21100000021120.50035800412626245278305271108932165512216.67%80100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
20TigersCats11000000431000000000001100000043121.000471100412626224278305271103398244125.00%40100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
21Vandals11000000321000000000001100000032121.00036900412626218278305271101420186233.33%000%0491111444.08%622141843.86%25561841.26%967670945290499258
22Vipers1000000112-1000000000001000000112-110.5001120041262629278305271104817818300.00%40100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
23Xpress21100000734110000006061010000013-220.5007132001412626251278305271107522274113430.77%110100.00%0491111444.08%622141843.86%25561841.26%967670945290499258
Total4019180101195950191440001054312321514010014164-23430.538951662611441262628582783052711012583383548371934020.73%1471689.12%0491111444.08%622141843.86%25561841.26%967670945290499258
_Since Last GM Reset4019180101195950191440001054312321514010014164-23430.538951662611441262628582783052711012583383548371934020.73%1471689.12%0491111444.08%622141843.86%25561841.26%967670945290499258
_Vs Conference1668010104039174200010221111926010001828-10160.500407111102412626233827830527110492135162334761722.37%63690.48%0491111444.08%622141843.86%25561841.26%967670945290499258
_Vs Division624000001419-52110000065141300000814-640.33314243800412626213827830527110191415511530516.67%24483.33%0491111444.08%622141843.86%25561841.26%967670945290499258

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4043L195166261858125833835483714
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
40191810119595
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1914400105431
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2151410014164
Derniers 10 matchs
WLOTWOTL SOWSOL
450010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1934020.73%1471689.12%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
278305271104126262
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
491111444.08%622141843.86%25561841.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
967670945290499258


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
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-
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
Assistance18,49410,674
Assistance PCT48.67%56.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
22 1535 - 51.17% 113,668$2,159,688$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,510,832$ 4,410,500$ 4,410,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,064,061$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,500,691$ 60 50,097$ 3,005,820$




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