Nashville Predators Champions RSM YR14
Connexion

Toronto Marlies
GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2
GF: 8 | GA: 8 | PP%: 33.33% | PK%: 57.14%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #33 vs Belleville Senators

Centre de jeu
Laval Rocket
1-1-0, 2pts
3
6 Toronto Marlies
1-1-0, 2pts
Team Stats
W1SéquenceL1
1-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-1-0
1-1-0Derniers 10 matchs1-1-0
4.00Buts par match 4.00
4.00Buts contre par match 4.00
42.86%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique57.14%
Toronto Marlies
1-1-0, 2pts
2
5 Laval Rocket
1-1-0, 2pts
Team Stats
L1SéquenceW1
1-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-1-0
1-1-0Derniers 10 matchs1-1-0
4.00Buts par match 4.00
4.00Buts contre par match 4.00
33.33%Pourcentage en avantage numérique42.86%
57.14%Pourcentage en désavantage numérique66.67%
Belleville Senators
0-0-0, 0pts
2026-09-23
Toronto Marlies
1-1-0, 2pts
Statistiques d’équipe
N/ASéquenceL1
0-0-0Fiche domicile1-0-0
0-0-0Fiche visiteur0-1-0
0-0-010 derniers matchs1-1-0
0Buts par match 4.00
0Buts contre par match 4.00
0%Pourcentage en avantage numérique33.33%
0%Pourcentage en désavantage numérique57.14%
Toronto Marlies
1-1-0, 2pts
2026-09-24
Belleville Senators
0-0-0, 0pts
Statistiques d’équipe
L1SéquenceN/A
1-0-0Fiche domicile0-0-0
0-1-0Fiche visiteur0-0-0
1-1-010 derniers matchs0-0-0
4.00Buts par match 0
4.00Buts contre par match 0
33.33%Pourcentage en avantage numérique0%
57.14%Pourcentage en désavantage numérique0%
Meneurs d'équipe
Nathan BastianButs
Nathan Bastian
3
Anton FrondellPasses
Anton Frondell
3
Anton FrondellPoints
Anton Frondell
4
Nathan BastianPlus/Moins
Nathan Bastian
2
Matt D. MurrayVictoires
Matt D. Murray
1
Matt D. MurrayPourcentage d’arrêts
Matt D. Murray
0.882

Statistiques d’équipe
Buts pour
8
4.00 GFG
Tirs pour
70
35.00 Avg
Pourcentage en avantage numérique
33.3%
1 GF
Début de zone offensive
40.3%
Buts contre
8
4.00 GAA
Tirs contre
68
34.00 Avg
Pourcentage en désavantage numérique
57.1%%
3 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur général
DivisionNord
ConférenceEst
CapitaineOwen Beck
Assistant #1Lucas Condotta
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite Contrat50 / 250
Espoirs32


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
1Anton Frondell (R)X100.0062359073778863705572676675585991406701834,136,250$
2Austin PoganskiX100.006838916577788763676461626670754840650291750,000$
3Nathan BastianX100.008176836690767863555661646271696040650271775,000$
4Ivan MiroshnichenkoX100.0068408066748683655963646167626482406402111,700,000$
5Mackenzie MacEachernX100.007241706279817261596763616372743940640312775,000$
6Logan MorrisonX100.006138876570858662676463616564664340640231950,000$
7Adam SykoraX100.006837916271828759615865635962646840630212806,666$
8Filip HallanderX100.005636926678826263506457656266676440630252775,000$
9Dylan RoobroeckX100.008853725897808757605659645562644940630212850,000$
10Owen Beck (C)X100.006839826674808862676058646162657740630212880,000$
11Lucas Condotta (A)X100.007151685881738656615759625669743640620272775,000$
12Jakub BrabenecX100.006438885973748356605857555963656140610221828,333$
13Joel HanleyX100.00684383677087836330685370497678234065X03421,750,000$
14Brendan SmithX100.007169736480787059306653624882793640640361800,000$
15Owen PickeringX100.0077409062918087613060546549626482406402121,136,667$
16William LagessonX100.007340806283827759306754604770725140630292775,000$
17Jarred TinordiX100.008982635798667355305453624574764540620331800,000$
18Cam Allen (R)X100.006439715873706757305556584761635740590203918,333$
Rayé
1Jackson KunzX100.007638955685696757686250595364665840610231775,000$
2Hunter HaightX100.006336866065838459625761565863647340610212918,333$
3Ben HemmerlingX100.005836945767767556545958555762644940600212821,111$
4Hunter DrewX100.007055535879778257515659545568704240600261793,333$
5Kalan LindX100.006146545670836953555254575661637440570203886,666$
6Blake HillmanX100.006738955676647655305453574570723940600291925,000$
7Philip KempX100.007542765684658354305355574667724240600262775,000$
8Dominik BadinkaX100.007140925580668654305352564661637740590194874,983$
9Jake FurlongX100.006641735775657455305654584662645740590212850,000$
10Chase PietilaX100.006948655578658554305351564562646140580213860,000$
MOYENNE D’ÉQUIPE100.00694580617876795948595760556668574062
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
1Matt D. Murray (R)100.00808883777978807978807968813640690272775,000$
Rayé
1Spencer Martin100.00748479827372747372747371855240660302775,000$
2Riley Mercer100.00687470776766686766686762674540630213820,000$
3Benjamin Kraws100.00637268886261636261636266754240600251775,000$
MOYENNE D’ÉQUIPE100.0071807581706971706971706777444065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Anton FrondellToronto Marlies (TOR)C213402006811012.50%15125.6510112000060050.79%6300001.5600000010
2Ivan MiroshnichenkoToronto Marlies (TOR)LW2033200327250%03216.340001200002000%300001.8400000000
3Nathan BastianToronto Marlies (TOR)RW23032007391533.33%03819.40000020000800100.00%300001.5500000100
4Austin PoganskiToronto Marlies (TOR)RW21121201671714.29%03919.87000220000110100.00%100001.0100000000
5Brendan SmithToronto Marlies (TOR)D2022295142020%33819.140111200003000%000001.0400100000
6Mackenzie MacEachernToronto Marlies (TOR)LW220210041110618.18%03819.3000002000000071.43%700001.0400000000
7Logan MorrisonToronto Marlies (TOR)C2022100186150%03819.3000002000000063.41%4100001.0400000000
8William LagessonToronto Marlies (TOR)D2022200212020%24120.960112200004000%000000.9500000000
9Adam SykoraToronto Marlies (TOR)LW2011100023010%22512.570000000000000%400000.8000000000
10Cam AllenToronto Marlies (TOR)D2011020021010%33115.510000000001000%000000.6400000000
11Dylan RoobroeckToronto Marlies (TOR)C210107510630033.33%23718.6500000000000063.16%1900000.5400100001
12Joel HanleyToronto Marlies (TOR)D2011100251110%24924.870000200005000%000000.4000000000
13Lucas CondottaToronto Marlies (TOR)LW2000-200000000%0157.66000000000000100.00%10000000000000
14Filip HallanderToronto Marlies (TOR)C2000-100011000%042.2900000000010033.33%30000000000000
15Jakub BrabenecToronto Marlies (TOR)C2000000000000%000.440000000000000%00000000000000
16Jarred TinordiToronto Marlies (TOR)D2000-100501100%12914.560000000000000%00000000000000
17Owen BeckToronto Marlies (TOR)C2000120254010%12713.5700000000010047.22%360000000000000
18Owen PickeringToronto Marlies (TOR)D20000001224120%54924.650002200005000%00000000000000
Statistiques d’équipe totales ou en moyenne368162410241050547094811.43%2258916.371239260000411054.14%18100000.8100200111
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
1Matt D. MurrayToronto Marlies (TOR)21100.8824.00120008680000020000
Statistiques d’équipe totales ou en moyenne21100.8824.0012000868000020000


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam SykoraToronto Marlies (TOR)LW212004-09-07SVKNo193 Lbs5 ft11NoNoProspectNoNo22024-09-16FalseFalsePro & Farm806,666$0$0$No806,666$-----------------No--------Lien / Lien NHL
Anton FrondellToronto Marlies (TOR)C182007-05-07SWEYes198 Lbs6 ft1NoNoDraftNoNo32026-07-28FalseFalsePro & Farm4,136,250$0$0$No4,136,250$4,136,250$-------4,136,250$4,136,250$-------NoNo-------Lien / Lien NHL
Austin PoganskiToronto Marlies (TOR)RW291996-02-16USANo198 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Ben HemmerlingToronto Marlies (TOR)RW212004-04-21CANNo174 Lbs5 ft11NoNoDraftNoNo22025-07-16FalseFalsePro & Farm821,111$0$0$No821,111$-----------------No--------Lien / Lien NHL
Benjamin KrawsToronto Marlies (TOR)G252000-08-02USANo194 Lbs6 ft5NoNoTrade2026-09-17NoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Blake HillmanToronto Marlies (TOR)D291996-01-26USANo193 Lbs6 ft1NoNoAssign Manually2025-10-07NoNo12026-07-03FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Brendan SmithToronto Marlies (TOR)D361989-02-08CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Cam AllenToronto Marlies (TOR)D202005-01-07CANYes194 Lbs6 ft0NoNoDraftNoNo32026-08-03FalseFalsePro & Farm918,333$0$0$No993,333$993,333$-------993,333$993,333$-------NoNo-------Lien / Lien NHL
Chase PietilaToronto Marlies (TOR)D212004-03-03USANo186 Lbs6 ft2NoNoAssign ManuallyNoNo32026-07-03FalseFalsePro & Farm860,000$0$0$No860,000$860,000$-------860,000$860,000$-------NoNo-------Lien / Lien NHL
Dominik BadinkaToronto Marlies (TOR)D192005-11-27CZENo183 Lbs6 ft3NoNoAssign ManuallyNoNo42026-07-03FalseFalsePro & Farm874,983$0$0$No874,983$874,983$874,983$------874,983$874,983$874,983$------NoNoNo------Lien / Lien NHL
Dylan RoobroeckToronto Marlies (TOR)C212004-07-27CANNo207 Lbs6 ft7NoNoTrade2026-02-28NoNo22025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$-----------------No--------Lien / Lien NHL
Filip HallanderToronto Marlies (TOR)C252000-06-29SWENo203 Lbs6 ft1NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Hunter DrewToronto Marlies (TOR)RW261998-10-21CANNo191 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm793,333$0$0$No---------------------------Lien / Lien NHL
Hunter HaightToronto Marlies (TOR)C212004-04-04CANNo173 Lbs5 ft10NoNoTrade2025-12-29NoNo22025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$-----------------No--------Lien / Lien NHL
Ivan MiroshnichenkoToronto Marlies (TOR)LW212004-02-04RUSNo185 Lbs6 ft1NoNoTrade2026-08-03NoNo12025-07-16FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien / Lien NHL
Jackson KunzToronto Marlies (TOR)C232002-08-13USANo210 Lbs6 ft3NoNoAssign Manually2026-06-29NoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jake FurlongToronto Marlies (TOR)D212004-03-04CANNo189 Lbs6 ft1NoNoDraftNoNo22025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$-----------------No--------Lien / Lien NHL
Jakub BrabenecToronto Marlies (TOR)C222003-09-11CZENo180 Lbs6 ft1NoNoTrade2025-10-13NoNo12024-09-17FalseFalsePro & Farm828,333$0$0$No---------------------------Lien / Lien NHL
Jarred TinordiToronto Marlies (TOR)D331992-02-20USANo229 Lbs6 ft6NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Joel HanleyToronto Marlies (TOR)D341991-06-08CANNo186 Lbs5 ft11NoYesTrade2026-09-17NoNo22026-07-03FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien / Lien NHL
Kalan LindToronto Marlies (TOR)LW202005-01-25CANNo165 Lbs6 ft1NoNoTrade2026-09-17NoNo32026-07-03FalseFalsePro & Farm886,666$0$0$No886,666$886,666$-------886,666$886,666$-------NoNo-------Lien / Lien NHL
Logan MorrisonToronto Marlies (TOR)C232002-07-09CANNo179 Lbs6 ft0NoNoTrade2025-10-12NoNo12025-07-16FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Lucas CondottaToronto Marlies (TOR)LW271997-11-06CANNo218 Lbs6 ft1NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Mackenzie MacEachernToronto Marlies (TOR)LW311994-03-09USANo193 Lbs6 ft2NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Matt D. MurrayToronto Marlies (TOR)G271998-02-02CANYes196 Lbs6 ft1NoNoDraftNoNo22026-08-03FalseFalsePro & Farm775,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Nathan BastianToronto Marlies (TOR)RW271997-12-06CANNo217 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Owen BeckToronto Marlies (TOR)C212004-02-03CANNo199 Lbs6 ft0NoNoProspectNoNo22025-07-16FalseFalsePro & Farm880,000$0$0$No880,000$-----------------No--------Lien / Lien NHL
Owen PickeringToronto Marlies (TOR)D212004-01-27CANNo206 Lbs6 ft5NoNoTrade2026-08-03NoNo22025-07-16FalseFalsePro & Farm1,136,667$0$0$No1,136,667$-----------------No--------Lien / Lien NHL
Philip KempToronto Marlies (TOR)D261999-02-12USANo202 Lbs6 ft3NoNoAssign ManuallyNoNo22026-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Riley MercerToronto Marlies (TOR)G212004-03-31CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo32026-09-07FalseFalsePro & Farm820,000$0$0$No920,000$920,000$-------920,000$920,000$-------NoNo-------Lien / Lien NHL
Spencer MartinToronto Marlies (TOR)G301995-06-08CANNo191 Lbs6 ft3NoNoAssign Manually2026-07-03NoNo22026-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
William LagessonToronto Marlies (TOR)D291996-02-22SWENo211 Lbs6 ft2NoNoAssign Manually2026-06-29NoNo22026-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.66195 Lbs6 ft21.88993,927$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan MiroshnichenkoAnton FrondellNathan Bastian30122
2Mackenzie MacEachernLogan MorrisonAustin Poganski30122
3Adam SykoraOwen BeckDylan Roobroeck20122
4Lucas CondottaDylan RoobroeckAnton Frondell20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyOwen Pickering30122
2Brendan SmithWilliam Lagesson30122
3Jarred TinordiCam Allen20122
4Joel HanleyOwen Pickering20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan MiroshnichenkoAnton FrondellNathan Bastian60122
2Mackenzie MacEachernLogan MorrisonAustin Poganski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyOwen Pickering60122
2Brendan SmithWilliam Lagesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anton FrondellNathan Bastian60122
2Austin PoganskiIvan Miroshnichenko40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyOwen Pickering60122
2Brendan SmithWilliam Lagesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anton Frondell60122Joel HanleyOwen Pickering60122
2Nathan Bastian40122Brendan SmithWilliam Lagesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anton FrondellNathan Bastian60122
2Austin PoganskiIvan Miroshnichenko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyOwen Pickering60122
2Brendan SmithWilliam Lagesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan MiroshnichenkoAnton FrondellNathan BastianJoel HanleyOwen Pickering
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan MiroshnichenkoAnton FrondellNathan BastianJoel HanleyOwen Pickering
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Hallander, Jakub Brabenec, Owen BeckFilip Hallander, Jakub BrabenecOwen Beck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jarred Tinordi, Cam Allen, Brendan SmithJarred TinordiCam Allen, Brendan Smith
Tirs de pénalité
Anton Frondell, Nathan Bastian, Austin Poganski, Ivan Miroshnichenko, Mackenzie MacEachern
Gardien
#1 : Matt D. Murray, #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
1Laval Rocket21100000880110000006331010000025-320.50081624003410702826160682224503133.33%7357.14%0377350.68%427357.53%193554.29%463246142612
Total21100000880110000006331010000025-320.50081624003410702826160682224503133.33%7357.14%0377350.68%427357.53%193554.29%463246142612
_Since Last GM Reset21100000880110000006331010000025-320.50081624003410702826160682224503133.33%7357.14%0377350.68%427357.53%193554.29%463246142612
_Vs Conference21100000880110000006331010000025-320.50081624003410702826160682224503133.33%7357.14%0377350.68%427357.53%193554.29%463246142612
_Vs Division21100000880110000006331010000025-320.50081624003410702826160682224503133.33%7357.14%0377350.68%427357.53%193554.29%463246142612

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
22L181624706822245000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
211000088
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000063
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000025
Derniers 10 matchs
WLOTWOTL SOWSOL
110000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3133.33%7357.14%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
28261603410
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
377350.68%427357.53%193554.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
463246142612


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-09-192Laval Rocket3Toronto Marlies6WSommaire du match
2 - 2026-09-208Toronto Marlies2Laval Rocket5LSommaire du match
5 - 2026-09-2333Belleville Senators-Toronto Marlies-
6 - 2026-09-2436Toronto Marlies-Belleville Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 15,902,838$ 15,902,838$ 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$ 6 0$ 0$




Toronto Marlies 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

Toronto Marlies 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

Toronto Marlies 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

Toronto Marlies 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

Toronto Marlies 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


CHAMPIONS DE LA COUPE STANLEY LHSRSM

YR 1 - New York Rangers
YR 2 - Philadelphia Flyers
YR 3 - Edmonton Oilers
YR 4 - Carolina Hurricanes
YR 5 - Arizona Coyotes
YR 6 - Ottawa Senators
YR 7 - Philadelphia Flyers
YR 8 - Philadelphia Flyers
YR 9 - Colorado Avalanche
YR 10 - Pittsburgh Penguins
YR 11 - Colorado Avalanche
YR 12 - Toronto Maple Leafs
YR 13 - Vancouver Canucks
YR 14 - Nashville Predators
Stanley Cup