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Toronto Marlies
GP: 29 | W: 15 | L: 11 | OTL: 3 | P: 33
GF: 102 | GA: 100 | PP%: 16.84% | PK%: 76.47%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #480 vs San Jose Barracuda

Centre de jeu
Laval Rocket
20-6-3, 43pts
3
2 Toronto Marlies
15-11-3, 33pts
Team Stats
L1SéquenceW1
11-3-2Fiche domicile7-7-3
9-3-1Fiche domicile8-4-0
7-3-0Derniers 10 matchs6-4-0
5.24Buts par match 3.52
3.14Buts contre par match 3.45
27.59%Pourcentage en avantage numérique16.84%
78.13%Pourcentage en désavantage numérique76.47%
Syracuse Crunch
12-14-4, 28pts
3
6 Toronto Marlies
15-11-3, 33pts
Team Stats
W1SéquenceW1
5-6-4Fiche domicile7-7-3
7-8-0Fiche domicile8-4-0
4-5-1Derniers 10 matchs6-4-0
4.00Buts par match 3.52
3.50Buts contre par match 3.45
26.32%Pourcentage en avantage numérique16.84%
81.93%Pourcentage en désavantage numérique76.47%
San Jose Barracuda
15-10-6, 36pts
2025-12-11
Toronto Marlies
15-11-3, 33pts
Statistiques d’équipe
L2SéquenceW1
10-4-3Fiche domicile7-7-3
5-6-3Fiche visiteur8-4-0
4-5-110 derniers matchs6-4-0
4.84Buts par match 3.52
3.58Buts contre par match 3.52
28.32%Pourcentage en avantage numérique16.84%
73.04%Pourcentage en désavantage numérique76.47%
Bakersfield Condors
2-28-0, 4pts
2025-12-13
Toronto Marlies
15-11-3, 33pts
Statistiques d’équipe
L3SéquenceW1
2-11-0Fiche domicile7-7-3
0-17-0Fiche visiteur8-4-0
1-9-010 derniers matchs6-4-0
2.27Buts par match 3.52
6.33Buts contre par match 3.52
8.16%Pourcentage en avantage numérique16.84%
53.33%Pourcentage en désavantage numérique76.47%
Rockford IceHogs
17-13-0, 34pts
2025-12-16
Toronto Marlies
15-11-3, 33pts
Statistiques d’équipe
L6SéquenceW1
10-5-0Fiche domicile7-7-3
7-8-0Fiche visiteur8-4-0
3-7-010 derniers matchs6-4-0
3.97Buts par match 3.52
3.20Buts contre par match 3.52
27.17%Pourcentage en avantage numérique16.84%
79.55%Pourcentage en désavantage numérique76.47%
Meneurs d'équipe
Anders BjorkButs
Anders Bjork
13
Sam MalinskiPasses
Sam Malinski
20
Lucas CondottaPoints
Lucas Condotta
27
Philip KempPlus/Moins
Philip Kemp
17
Matthew MurrayVictoires
Matthew Murray
13
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.911

Statistiques d’équipe
Buts pour
102
3.52 GFG
Tirs pour
1060
36.55 Avg
Pourcentage en avantage numérique
16.8%
16 GF
Début de zone offensive
43.1%
Buts contre
100
3.45 GAA
Tirs contre
1022
35.24 Avg
Pourcentage en désavantage numérique
76.5%%
24 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur général
DivisionNord
ConférenceEst
Capitaine
Assistant #1Lucas Condotta
Assistant #2Samuel Bolduc


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 250
Espoirs108


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
1Devin ShoreX100.007238956379778464726559626173745240650301775,000$
2Lucas Condotta (R) (A)X100.007141736381738662656061646268723640640261775,000$
3Mackenzie MacEachernX100.007241746279807563646558616371735240640301775,000$
4Austin PoganskiX100.006839826077768559636158606269744940630281750,000$
5Anders BjorkX100.006337926472747363596057625869714540630281750,000$
6Logan MorrisonX100.006136956470828663686258566163654440630222950,000$
7Owen Beck (R)X100.006939796674807464706258656362617740630203880,000$
8Austin Wagner (R)X100.006740796376817158575556615968705140610271750,000$
9Adam SykoraX100.005935955766828656605856595561636840600203806,666$
10Alex BeaucageX100.006738905876756757535654555864666340600231750,000$
11Jakub BrabenecX100.006437925973698058625657555862646340600212828,333$
12Sam MalinskiX100.006537916870848765307063625467683740660261850,000$
13Samuel Bolduc (A)X100.007840956391808164306260615365676940650231800,000$
14Hunter DrewX100.007053506179757759305760585167694240610251750,000$
15Philip KempX100.006940755784658358305355594766684740610251775,000$
16Blake Hillman (R)X100.006738945776638056305553544569714040600281750,000$
17Samuel KnazkoX100.006838925877647855305754564663656440600221902,500$
Rayé
1Ben Hemmerling (R)X100.005836955667716254515353555461634940580203821,111$
2Connor Corcoran (R)X100.006838915577746853305452564565674740590241750,000$
3Jake Furlong (R)X100.006638925575647154305352554661635740580203850,000$
4Ryan Jones (R)X100.006940835578666852305450534569714740580281750,000$
MOYENNE D’ÉQUIPE100.00673986607674775948585659556668524062
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
1Matthew Murray100.00798581777877797877797867775340690261750,000$
2Brandon Bussi100.00778581917675777675777667773740680261775,000$
Rayé
1Collin Delia100.00728277827170727170727171853440650301775,000$
2Keith Petruzzelli100.00667571866564666564666566756040620251750,000$
MOYENNE D’ÉQUIPE100.0074827884737274737274736879464066
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
1Lucas CondottaToronto Marlies (TOR)LW281116275215564911631799.48%860121.5013427781015923054.76%4200000.9013001141
2Owen BeckToronto Marlies (TOR)C287172461204810212333665.69%1556820.3011224660111840153.21%82500000.8403000121
3Anders BjorkToronto Marlies (TOR)LW291310231020154879244716.46%1043815.12011150000142050.94%5300001.0500000031
4Sam MalinskiToronto Marlies (TOR)D2832023220025536418434.69%5270325.122243586000280000%000000.6500000111
5Samuel BolducToronto Marlies (TOR)D2851722020066265517439.09%4669224.742352785000077110%000000.6400000010
6Austin WagnerToronto Marlies (TOR)LW28910191380422264214914.06%741814.9400001000000166.67%2100000.9101000110
7Philip KempToronto Marlies (TOR)D294151917260162738152110.53%4060320.8212315730000620033.33%300000.6300000011
8Alex BeaucageToronto Marlies (TOR)RW2461117480252045153713.33%450921.241231171000001141.03%3900000.6700000003
9Austin PoganskiToronto Marlies (TOR)RW2988161120404477205410.39%750917.580118380000250145.45%7700000.6311000203
10Mackenzie MacEachernToronto Marlies (TOR)LW2961016-64080378030757.50%1048516.7326817810001240148.57%3500000.6601000010
11Logan MorrisonToronto Marlies (TOR)C3061016-20014638722646.90%651817.2824621820000482051.70%67500000.6203000003
12Jakub BrabenecToronto Marlies (TOR)C2751015940203237122813.51%22589.5800001000001048.30%32300001.1600000110
13Devin ShoreToronto Marlies (TOR)C153111402019444613286.52%628118.7626812450001471053.67%43600001.0001000110
14Colton DachToronto Maple LeafsC135813310033425515359.09%426820.6411212340000242054.49%35600000.9700000300
15Hunter DrewToronto Marlies (TOR)D28381115471570234314266.98%3557420.502022472011061100%000000.3800102000
16Adam SykoraToronto Marlies (TOR)LW2873107406173241421.88%01846.5900000000001152.94%1700001.0800000002
17Blake HillmanToronto Marlies (TOR)D281671180381315976.67%2643115.4000016000132000%000000.3200000000
18Samuel KnazkoToronto Marlies (TOR)D2915601203913177105.88%1742814.7800003000013000%200000.2800000000
19Ben HemmerlingToronto Marlies (TOR)RW5101-3003381312.50%18016.16101110000000040.91%2200000.2500000000
20Jake FurlongToronto Marlies (TOR)D1000300000000%077.950000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne484104195299852302065567810813217299.62%296856517.701832502368461231169015752.05%292600000.70213103111616
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
1Matthew MurrayToronto Marlies (TOR)2313720.9112.75133322616830200.5569225310
2Brandon BussiToronto Marlies (TOR)72310.8814.7936320292440100.6673622100
Statistiques d’équipe totales ou en moyenne30151030.9033.1816964290927030122827410


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam SykoraToronto Marlies (TOR)LW202004-09-07SVKNo179 Lbs5 ft10NoNoProspectNoNo32024-09-16FalseFalsePro & Farm806,666$0$0$No806,666$806,666$----------------NoNo-------Lien / Lien NHL
Alex BeaucageToronto Marlies (TOR)RW232001-07-25CANNo192 Lbs6 ft1NoNoTrade2025-10-13NoNo12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Anders BjorkToronto Marlies (TOR)LW281996-08-05USANo190 Lbs6 ft0NoNoN/ANoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Austin PoganskiToronto Marlies (TOR)RW281996-02-16USANo198 Lbs6 ft1NoNoN/ANoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Austin WagnerToronto Marlies (TOR)LW271997-06-23CANYes195 Lbs6 ft1NoNoDraftNoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Ben HemmerlingToronto Marlies (TOR)RW202004-04-21CANYes174 Lbs5 ft11NoNoDraftNoNo32025-07-16FalseFalsePro & Farm821,111$0$0$No821,111$821,111$----------------NoNo-------Lien / Lien NHL
Blake HillmanToronto Marlies (TOR)D281996-01-26USAYes193 Lbs6 ft1NoNoTrade2025-10-07NoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Brandon BussiToronto Marlies (TOR)G261998-06-25USANo209 Lbs6 ft5NoNoTrade2025-10-12NoYes12024-09-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Collin DeliaToronto Marlies (TOR)G301994-06-20USANo208 Lbs6 ft2NoNoN/ANoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Connor CorcoranToronto Marlies (TOR)D242000-08-07CANYes185 Lbs6 ft2NoNoDraftNoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Devin ShoreToronto Marlies (TOR)C301994-07-19CANNo206 Lbs6 ft1NoNoWaiverNoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Hunter DrewToronto Marlies (TOR)D251998-10-21CANNo191 Lbs6 ft2NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Jake FurlongToronto Marlies (TOR)D202004-03-04CANYes189 Lbs6 ft1NoNoDraftNoNo32025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$850,000$----------------NoNo-------Lien / Lien NHL
Jakub BrabenecToronto Marlies (TOR)C212003-09-11CZENo180 Lbs6 ft1NoNoTrade2025-10-13NoNo22024-09-17FalseFalsePro & Farm828,333$0$0$No828,333$-----------------No--------Lien / Lien NHL
Keith PetruzzelliToronto Marlies (TOR)G251999-02-09USANo185 Lbs6 ft5NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Logan MorrisonToronto Marlies (TOR)C222002-07-09CANNo179 Lbs6 ft0NoNoTrade2025-10-12NoNo22025-07-16FalseFalsePro & Farm950,000$0$0$No950,000$-----------------No--------Lien / Lien NHL
Lucas CondottaToronto Marlies (TOR)LW261997-11-06CANYes218 Lbs6 ft1NoNoAssign ManuallyNoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Mackenzie MacEachernToronto Marlies (TOR)LW301994-03-09USANo193 Lbs6 ft2NoNoN/ANoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Matthew MurrayToronto Marlies (TOR)G261998-02-02CANNo196 Lbs6 ft1NoNoTrade2025-10-13NoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Owen BeckToronto Marlies (TOR)C202004-02-03CANYes199 Lbs6 ft0NoNoProspectNoNo32025-07-16FalseFalsePro & Farm880,000$0$0$No880,000$880,000$----------------NoNo-------Lien / Lien NHL
Philip KempToronto Marlies (TOR)D251999-02-12USANo202 Lbs6 ft3NoNoN/ANoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ryan JonesToronto Marlies (TOR)D281996-05-26USAYes186 Lbs6 ft2NoNoDraftNoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Sam MalinskiToronto Marlies (TOR)D261998-07-27USANo190 Lbs5 ft11NoNoAssign ManuallyNoYes12025-07-16FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Samuel BolducToronto Marlies (TOR)D232000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo12024-09-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Samuel KnazkoToronto Marlies (TOR)D222002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.92194 Lbs6 ft11.40793,544$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaDevin ShoreAustin Poganski28113
2Mackenzie MacEachernLogan MorrisonAlex Beaucage26122
3Anders BjorkOwen BeckAustin Wagner26131
4Adam SykoraJakub BrabenecAlex Beaucage20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiSamuel Bolduc30122
2Hunter DrewPhilip Kemp30122
3Blake HillmanSamuel Knazko25122
4Samuel BolducSam Malinski15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaDevin ShoreOwen Beck60122
2Mackenzie MacEachernLogan MorrisonAlex Beaucage40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiSamuel Bolduc60122
2Hunter DrewPhilip Kemp40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Owen BeckLucas Condotta60122
2Logan MorrisonDevin Shore40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiSamuel Bolduc60122
2Hunter DrewPhilip Kemp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Owen Beck60122Sam MalinskiSamuel Bolduc60122
2Logan Morrison40122Hunter DrewPhilip Kemp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Owen BeckLucas Condotta60122
2Devin ShoreLogan Morrison40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiSamuel Bolduc60122
2Hunter DrewPhilip Kemp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas CondottaOwen BeckDevin ShoreSam MalinskiSamuel Bolduc
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas CondottaOwen BeckDevin ShoreSam MalinskiSamuel Bolduc
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Devin Shore, Anders Bjork, Owen BeckLogan Morrison, Anders BjorkAustin Poganski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Hillman, Samuel Knazko, Samuel BolducBlake HillmanBlake Hillman, Samuel Knazko
Tirs de pénalité
Owen Beck, Logan Morrison, Lucas Condotta, Alex Beaucage, Devin Shore
Gardien
#1 : Matthew Murray, #2 : Brandon Bussi


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Calgary Wranglers1000000156-11000000156-10000000000010.5005712003540263543153284042535144253133.33%20100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
2Charlotte Checkers1010000014-3000000000001010000014-300.00012300354026339315328404253010824100.00%4250.00%0599115052.09%552104952.62%22547147.77%692477691213373185
3Chicago Wolves20100001710-31000000134-11010000046-210.250714210035402636531532840425742016437114.29%8275.00%0599115052.09%552104952.62%22547147.77%692477691213373185
4Cleveland Monsters330000001459110000008352200000062461.00014274100354026396315328404258722264415320.00%11190.91%0599115052.09%552104952.62%22547147.77%692477691213373185
5Coachella Firebirds11000000523110000005230000000000021.000591400354026340315328404252299195120.00%20100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
6Grand Rapids Griffins21100000111011010000079-21100000041320.50011213200354026387315328404251032722537342.86%11463.64%0599115052.09%552104952.62%22547147.77%692477691213373185
7Hartford Wolf Pack10001000321100010003210000000000021.0003690035402634331532840425249231300.00%10100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
8Hershey Bears11000000413000000000001100000041321.000461000354026347315328404252915621400.00%20100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
9Laval Rocket30300000417-1320200000310-71010000017-600.000461000354026393315328404251603523779222.22%9544.44%0599115052.09%552104952.62%22547147.77%692477691213373185
10Lehigh Valley Phantoms11000000532000000000001100000053221.000591400354026337315328404253048257228.57%4175.00%0599115052.09%552104952.62%22547147.77%692477691213373185
11Milwaukee Admirals11000000321110000003210000000000021.00034700354026340315328404253010421200.00%20100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
12Ontario Reign1010000047-31010000047-30000000000000.0004812003540263233153284042541141217200.00%6266.67%0599115052.09%552104952.62%22547147.77%692477691213373185
13Providence Bruins2110000010911010000035-21100000074320.5001019290035402637431532840425601310328112.50%4175.00%1599115052.09%552104952.62%22547147.77%692477691213373185
14Rochester Americans211000004311010000023-11100000020220.5004812013540263693153284042566221845500.00%90100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
15Rockford IceHogs1010000025-3000000000001010000025-300.00024600354026327315328404253411629100.00%20100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
16Springfield Thunderbirds11000000312110000003120000000000021.0003580035402636431532840425201225200.00%10100.00%0599115052.09%552104952.62%22547147.77%692477691213373185
17Syracuse Crunch11000000633110000006330000000000021.0006111700354026348315328404252871521400.00%5180.00%0599115052.09%552104952.62%22547147.77%692477691213373185
18Tucson Roadrunners11000000321110000003210000000000021.00036900354026340315328404252992234250.00%110.00%0599115052.09%552104952.62%22547147.77%692477691213373185
19Utica Comets1010000034-11010000034-10000000000000.000369003540263183153284042550272224400.00%11281.82%0599115052.09%552104952.62%22547147.77%692477691213373185
20Wilkes-Barre Scranton Penguins210000015411000000134-11100000020230.7505914013540263563153284042570221944200.00%7271.43%0599115052.09%552104952.62%22547147.77%692477691213373185
Total2914110100310210021767010036467-312840000038335330.5691021872890235402631060315328404251022301234643951616.84%1022476.47%1599115052.09%552104952.62%22547147.77%692477691213373185
_Since Last GM Reset2914110100310210021767010036467-312840000038335330.5691021872890235402631060315328404251022301234643951616.84%1022476.47%1599115052.09%552104952.62%22547147.77%692477691213373185
_Vs Conference1910701001625661035010013435-19720000028217230.605621141760235402636843153284042565418715941364812.50%681577.94%1599115052.09%552104952.62%22547147.77%692477691213373185
_Vs Division1155000003646-10624000002130-9531000001516-1100.4553667103013540263410315328404254471149625234617.65%421369.05%1599115052.09%552104952.62%22547147.77%692477691213373185

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2933W11021872891060102230123464302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2914111003102100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
176710036467
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
128400003833
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
951616.84%1022476.47%1
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
315328404253540263
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
599115052.09%552104952.62%22547147.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
692477691213373185


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-10-084Laval Rocket7Toronto Marlies1LSommaire du match
5 - 2025-10-1125Toronto Marlies4Grand Rapids Griffins1WSommaire du match
7 - 2025-10-1343Grand Rapids Griffins9Toronto Marlies7LSommaire du match
8 - 2025-10-1449Milwaukee Admirals2Toronto Marlies3WSommaire du match
10 - 2025-10-1661Hartford Wolf Pack2Toronto Marlies3WXSommaire du match
12 - 2025-10-1879Coachella Firebirds2Toronto Marlies5WSommaire du match
15 - 2025-10-2198Utica Comets4Toronto Marlies3LSommaire du match
18 - 2025-10-24123Toronto Marlies2Rochester Americans0WSommaire du match
19 - 2025-10-25132Rochester Americans3Toronto Marlies2LSommaire du match
22 - 2025-10-28151Calgary Wranglers6Toronto Marlies5LXXSommaire du match
23 - 2025-10-29166Toronto Marlies2Cleveland Monsters1WSommaire du match
26 - 2025-11-01188Toronto Marlies5Lehigh Valley Phantoms3WSommaire du match
28 - 2025-11-03199Wilkes-Barre Scranton Penguins4Toronto Marlies3LXXSommaire du match
30 - 2025-11-05213Tucson Roadrunners2Toronto Marlies3WSommaire du match
33 - 2025-11-08234Providence Bruins5Toronto Marlies3LSommaire du match
34 - 2025-11-09246Chicago Wolves4Toronto Marlies3LXXSommaire du match
36 - 2025-11-11256Toronto Marlies7Providence Bruins4WSommaire du match
38 - 2025-11-13269Ontario Reign7Toronto Marlies4LSommaire du match
40 - 2025-11-15291Toronto Marlies2Rockford IceHogs5LSommaire du match
43 - 2025-11-18307Springfield Thunderbirds1Toronto Marlies3WSommaire du match
45 - 2025-11-20319Cleveland Monsters3Toronto Marlies8WSommaire du match
47 - 2025-11-22337Toronto Marlies1Laval Rocket7LSommaire du match
51 - 2025-11-26369Toronto Marlies4Cleveland Monsters1WSommaire du match
53 - 2025-11-28386Toronto Marlies4Hershey Bears1WSommaire du match
54 - 2025-11-29396Toronto Marlies2Wilkes-Barre Scranton Penguins0WSommaire du match
57 - 2025-12-02413Toronto Marlies1Charlotte Checkers4LSommaire du match
59 - 2025-12-04431Toronto Marlies4Chicago Wolves6LSommaire du match
61 - 2025-12-06444Laval Rocket3Toronto Marlies2LSommaire du match
63 - 2025-12-08461Syracuse Crunch3Toronto Marlies6WSommaire du match
66 - 2025-12-11480San Jose Barracuda-Toronto Marlies-
68 - 2025-12-13499Bakersfield Condors-Toronto Marlies-
71 - 2025-12-16520Rockford IceHogs-Toronto Marlies-
73 - 2025-12-18539Toronto Marlies-Hershey Bears-
75 - 2025-12-20558Toronto Marlies-Milwaukee Admirals-
76 - 2025-12-21568Toronto Marlies-Texas Stars-
78 - 2025-12-23575Wilkes-Barre Scranton Penguins-Toronto Marlies-
82 - 2025-12-27590Belleville Senators-Toronto Marlies-
83 - 2025-12-28601Toronto Marlies-Grand Rapids Griffins-
85 - 2025-12-30617Utica Comets-Toronto Marlies-
87 - 2026-01-01634Manitoba Moose-Toronto Marlies-
89 - 2026-01-03651Toronto Marlies-Bridgeport Islanders-
92 - 2026-01-06672Charlotte Checkers-Toronto Marlies-
94 - 2026-01-08686Toronto Marlies-Lehigh Valley Phantoms-
96 - 2026-01-10702Abbotsford Canucks-Toronto Marlies-
98 - 2026-01-12723Toronto Marlies-Colorado Eagles-
99 - 2026-01-13733Toronto Marlies-Tucson Roadrunners-
101 - 2026-01-15748Toronto Marlies-Henderson Silver Knights-
103 - 2026-01-17762Toronto Marlies-Manitoba Moose-
105 - 2026-01-19774Iowa Wild-Toronto Marlies-
107 - 2026-01-21788Grand Rapids Griffins-Toronto Marlies-
109 - 2026-01-23802Henderson Silver Knights-Toronto Marlies-
111 - 2026-01-25819Colorado Eagles-Toronto Marlies-
113 - 2026-01-27831Rochester Americans-Toronto Marlies-
115 - 2026-01-29857Toronto Marlies-Coachella Firebirds-
117 - 2026-01-31869Toronto Marlies-Abbotsford Canucks-
119 - 2026-02-02885Toronto Marlies-Calgary Wranglers-
120 - 2026-02-03891Toronto Marlies-Bakersfield Condors-
142 - 2026-02-25912Toronto Marlies-Syracuse Crunch-
143 - 2026-02-26921Toronto Marlies-Charlotte Checkers-
145 - 2026-02-28939Belleville Senators-Toronto Marlies-
147 - 2026-03-02954Lehigh Valley Phantoms-Toronto Marlies-
149 - 2026-03-04971Toronto Marlies-Utica Comets-
150 - 2026-03-05975Toronto Marlies-Hartford Wolf Pack-
152 - 2026-03-07994Syracuse Crunch-Toronto Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101014Toronto Marlies-Laval Rocket-
157 - 2026-03-121029San Diego Gulls-Toronto Marlies-
159 - 2026-03-141047Toronto Marlies-Rochester Americans-
160 - 2026-03-151060Toronto Marlies-Iowa Wild-
162 - 2026-03-171068Bridgeport Islanders-Toronto Marlies-
165 - 2026-03-201094Chicago Wolves-Toronto Marlies-
166 - 2026-03-211106Toronto Marlies-Belleville Senators-
169 - 2026-03-241120Toronto Marlies-Providence Bruins-
170 - 2026-03-251136Hartford Wolf Pack-Toronto Marlies-
173 - 2026-03-281160Toronto Marlies-Springfield Thunderbirds-
175 - 2026-03-301176Toronto Marlies-San Diego Gulls-
178 - 2026-04-021202Toronto Marlies-San Jose Barracuda-
180 - 2026-04-041217Toronto Marlies-Ontario Reign-
184 - 2026-04-081245Hershey Bears-Toronto Marlies-
185 - 2026-04-091252Toronto Marlies-Bridgeport Islanders-
187 - 2026-04-111270Charlotte Checkers-Toronto Marlies-
189 - 2026-04-131285Texas Stars-Toronto Marlies-
191 - 2026-04-151304Toronto 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 jourCapacitéPopularité 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
3,295,206$ 9,919,304$ 9,919,304$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,295,206$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 127 51,663$ 6,561,201$




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