Please rotate your device to landscape mode for a better experience.
Connexion

Toronto Marlies
GP: 57 | W: 36 | L: 18 | OTL: 3 | P: 75
GF: 243 | GA: 177 | PP%: 21.66% | PK%: 77.89%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #912 vs Syracuse Crunch

Centre de jeu
Toronto Marlies
36-18-3, 75pts
3
4 Calgary Wranglers
26-28-2, 54pts
Team Stats
W1SéquenceW2
18-10-3Fiche domicile13-16-0
18-8-0Fiche domicile13-12-2
9-1-0Derniers 10 matchs5-4-1
4.26Buts par match 4.36
3.11Buts contre par match 4.57
21.66%Pourcentage en avantage numérique22.98%
77.89%Pourcentage en désavantage numérique74.42%
Toronto Marlies
36-18-3, 75pts
10
0 Bakersfield Condors
4-54-0, 8pts
Team Stats
W1SéquenceL10
18-10-3Fiche domicile3-26-0
18-8-0Fiche domicile1-28-0
9-1-0Derniers 10 matchs0-10-0
4.26Buts par match 1.93
3.11Buts contre par match 7.28
21.66%Pourcentage en avantage numérique4.55%
77.89%Pourcentage en désavantage numérique64.00%
Toronto Marlies
36-18-3, 75pts
2026-02-25
Syracuse Crunch
23-27-5, 51pts
Statistiques d’équipe
W1SéquenceL3
18-10-3Fiche domicile9-13-5
18-8-0Fiche visiteur14-14-0
9-1-010 derniers matchs4-5-1
4.26Buts par match 3.89
3.11Buts contre par match 3.89
21.66%Pourcentage en avantage numérique26.54%
77.89%Pourcentage en désavantage numérique80.12%
Toronto Marlies
36-18-3, 75pts
2026-02-26
Charlotte Checkers
27-23-7, 61pts
Statistiques d’équipe
W1SéquenceW1
18-10-3Fiche domicile17-11-3
18-8-0Fiche visiteur10-12-4
9-1-010 derniers matchs4-6-0
4.26Buts par match 4.19
3.11Buts contre par match 4.19
21.66%Pourcentage en avantage numérique26.54%
77.89%Pourcentage en désavantage numérique81.68%
Belleville Senators
23-32-2, 48pts
2026-02-28
Toronto Marlies
36-18-3, 75pts
Statistiques d’équipe
W2SéquenceW1
12-14-2Fiche domicile18-10-3
11-18-0Fiche visiteur18-8-0
3-7-010 derniers matchs9-1-0
3.75Buts par match 4.26
4.95Buts contre par match 4.26
21.43%Pourcentage en avantage numérique21.66%
65.87%Pourcentage en désavantage numérique77.89%
Meneurs d'équipe
Anders BjorkButs
Anders Bjork
35
Sam MalinskiPasses
Sam Malinski
41
Owen BeckPoints
Owen Beck
65
Philip KempPlus/Moins
Philip Kemp
51
Matthew MurrayVictoires
Matthew Murray
34
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.911

Statistiques d’équipe
Buts pour
243
4.26 GFG
Tirs pour
2242
39.33 Avg
Pourcentage en avantage numérique
21.7%
34 GF
Début de zone offensive
43.3%
Buts contre
177
3.11 GAA
Tirs contre
1892
33.19 Avg
Pourcentage en désavantage numérique
77.9%%
42 GA
Début de la zone défensive
38.2%
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 Pro24
Équipe Mineure19
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) (C)X100.006939796674807464706258656362617740630203880,000$
8Austin Wagner (R)X100.006740796376817158575556615968705140610271750,000$
9Adam SykoraX100.005935955766828656605856595561636840600203806,666$
10Jakub BrabenecX100.006437925973698058625657555862646340600212828,333$
11Hunter Haight (R)X100.005637866065877259635661555962637340600203918,333$
12Sam MalinskiX100.006537916870848765307063625467683740660261850,000$
13Jarred TinordiX100.008983696298817557306852764674754940660321800,000$
14Hunter DrewX100.007053506179757759305760585167694240610251750,000$
15Philip KempX100.006940755784658358305355594766684740610251775,000$
16Blake Hillman (R)X100.006738945776638056305553544569714040600281750,000$
17Samuel KnazkoX100.006838925877647855305754564663656440600221902,500$
Rayé
1Alex BeaucageX100.006738905876756757535654555864666340600231750,000$
2Ben Hemmerling (R)X100.005836955667716254515353555461634940580203821,111$
3Connor Corcoran (R)X100.006838915577746853305452564565674740590241750,000$
4Jake Furlong (R)X100.006638925575647154305352554661635740580203850,000$
5Ryan Jones (R)X100.006940835578666852305450534569714740580281750,000$
MOYENNE D’ÉQUIPE100.00674185607675775949595659546668524062
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$
2Keith Petruzzelli100.00667571866564666564666566756040620251750,000$
Rayé
MOYENNE D’ÉQUIPE100.0073807682727173727173726776574066
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
1Owen BeckToronto Marlies (TOR)C5626396529200941892395915010.88%22113320.233583811701181751254.85%153500001.1505000455
2Anders BjorkToronto Marlies (TOR)LW57352156338035861805611819.44%1586915.26112270001256151.16%8600121.2900000354
3Sam MalinskiToronto Marlies (TOR)D561541561532047100130539211.54%97138924.819514641430004153110%000000.8100000323
4Lucas CondottaToronto Marlies (TOR)LW5624295319411512593247671699.72%19117220.931893713110191815050.00%9000010.9015003391
5Mackenzie MacEachernToronto Marlies (TOR)LW5721295015200126631745113712.07%1387615.3721214351340001263145.45%6600001.1412000141
6Philip KempToronto Marlies (TOR)D5711344551260614175303814.67%67114120.032352312100011161033.33%300000.7900000123
7Devin ShoreToronto Marlies (TOR)C43123042121204811414634908.22%1381719.014101425990001962157.50%105400001.0302000313
8Logan MorrisonToronto Marlies (TOR)C58172441184029121171461189.94%1295616.493811341360002933153.41%124700010.8615000113
9Austin WagnerToronto Marlies (TOR)LW56102939372357754129461047.75%1182414.7200002000000164.71%5100000.9501010111
10Austin PoganskiToronto Marlies (TOR)RW57112334122808071156401197.05%1194816.640118400000430147.15%12300000.7211000204
11Alex BeaucageToronto Marlies (TOR)RW3912223423120463488247413.64%783921.542241696000002142.37%5900000.8100000113
12Hunter DrewToronto Marlies (TOR)D56624304210040126408628556.98%64113920.34314391190111121200%000000.5300125000
13Jakub BrabenecToronto Marlies (TOR)C5510162615120465778274412.82%55049.1800001000003049.68%63400001.0300000110
14Adam SykoraToronto Marlies (TOR)LW561462013140163776154318.42%44307.6900000000002246.67%3000000.9300000012
15Blake HillmanToronto Marlies (TOR)D56114152320065233415252.94%5788415.79000211000166000%000000.3400000000
16Samuel KnazkoToronto Marlies (TOR)D49212141422069212910196.90%3074015.1000004000019000%200000.3800000000
17Colton DachToronto Maple LeafsC165914012047517318426.85%533821.1712319480000242054.49%35600000.8300000300
18Hunter HaightToronto Marlies (TOR)C1028101040921297186.90%022222.24000214000000043.75%1600000.9011000100
19Jarred TinordiToronto Marlies (TOR)D131890255602320575.00%2527120.89112512000128000%000000.6600010001
20Ben HemmerlingToronto Marlies (TOR)RW5101-3003381312.50%18016.16101110000000040.91%2200000.2500000000
21Jake FurlongToronto Marlies (TOR)D1000300000000%077.950000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne90923641865438143565120912422168632146510.89%4781558917.153359923501254123301174331253.76%537400140.84522148283334
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)51341420.9112.7430242313815530200.72218505610
Statistiques d’équipe totales ou en moyenne51341420.9112.74302423138155302018505610


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)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
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
Hunter HaightToronto Marlies (TOR)C202004-04-04CANYes173 Lbs5 ft10NoNoTrade2025-12-29NoNo32025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$918,333$----------------NoNo-------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
Jarred TinordiToronto Marlies (TOR)D321992-02-20USANo229 Lbs6 ft6NoNoWaiverNoYes12025-07-16FalseFalsePro & Farm800,000$0$0$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 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
2424.83193 Lbs6 ft11.50800,289$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaDevin ShoreAustin Poganski28113
2Mackenzie MacEachernLogan MorrisonHunter Haight26122
3Anders BjorkOwen BeckAustin Wagner26131
4Adam SykoraJakub BrabenecHunter Haight20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi30122
2Hunter DrewSamuel Knazko30122
3Blake HillmanPhilip Kemp25122
4Jarred TinordiSam Malinski15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaDevin ShoreOwen Beck60122
2Mackenzie MacEachernLogan MorrisonHunter Haight40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi60122
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 MalinskiPhilip Kemp60122
2Hunter DrewJarred Tinordi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Owen Beck60122Sam MalinskiJarred Tinordi60122
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 MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas CondottaOwen BeckDevin ShoreSam MalinskiJarred Tinordi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas CondottaOwen BeckDevin ShoreSam MalinskiJarred Tinordi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Devin Shore, Anders Bjork, Owen BeckLogan Morrison, Anders BjorkAustin Poganski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Hillman, Jarred Tinordi, Philip KempBlake HillmanBlake Hillman, Jarred Tinordi
Tirs de pénalité
Owen Beck, Logan Morrison, Lucas Condotta, Hunter Haight, Devin Shore
Gardien
#1 : Matthew Murray, #2 : Keith Petruzzelli


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
1Abbotsford Canucks2010001056-11010000013-21000001043120.50057120092826575167870983838792316416233.33%7271.43%01219221455.06%1045195453.48%47895050.32%144210251279397727370
2Bakersfield Condors220000001611511000000615110000001001041.000163147019282657128678709838383681249100.00%60100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
3Belleville Senators11000000642110000006420000000000021.00061218009282657406787098383830128322150.00%3233.33%01219221455.06%1045195453.48%47895050.32%144210251279397727370
4Bridgeport Islanders1100000012480000000000011000000124821.00012193100928265766678709838382215016100.00%000%01219221455.06%1045195453.48%47895050.32%144210251279397727370
5Calgary Wranglers20100001810-21000000156-11010000034-110.250813210092826578067870983838892718565120.00%8275.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
6Charlotte Checkers2110000056-1110000004221010000014-320.500510150092826578467870983838771619515120.00%7357.14%01219221455.06%1045195453.48%47895050.32%144210251279397727370
7Chicago Wolves20100001710-31000000134-11010000046-210.250714210092826576567870983838742016437114.29%8275.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
8Cleveland Monsters330000001459110000008352200000062461.00014274100928265796678709838388722264415320.00%11190.91%01219221455.06%1045195453.48%47895050.32%144210251279397727370
9Coachella Firebirds21000010844110000005231000001032141.000812200092826576667870983838471619486233.33%7185.71%01219221455.06%1045195453.48%47895050.32%144210251279397727370
10Colorado Eagles21100000981110000007521010000023-120.500915240092826579367870983838512117595240.00%5260.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
11Grand Rapids Griffins4310000019163211000001112-12200000084460.7501936550092826571596787098383817443289914428.57%14564.29%01219221455.06%1045195453.48%47895050.32%144210251279397727370
12Hartford Wolf Pack10001000321100010003210000000000021.0003690092826574367870983838249231300.00%10100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
13Henderson Silver Knights2110000034-1110000003211010000002-220.5003690092826576867870983838682316538112.50%70100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
14Hershey Bears220000001331000000000000220000001331041.000132336009282657876787098383848236437114.29%20100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
15Iowa Wild1100000010191100000010190000000000021.0001018280092826576667870983838176621000%3166.67%01219221455.06%1045195453.48%47895050.32%144210251279397727370
16Laval Rocket30300000417-1320200000310-71010000017-600.000461000928265793678709838381603523779222.22%9544.44%01219221455.06%1045195453.48%47895050.32%144210251279397727370
17Lehigh Valley Phantoms21001000963000000000002100100096341.0009162500928265777678709838386214184211327.27%9277.78%01219221455.06%1045195453.48%47895050.32%144210251279397727370
18Manitoba Moose211000008711010000034-11100000053220.50081220009282657866787098383846121443300.00%7185.71%01219221455.06%1045195453.48%47895050.32%144210251279397727370
19Milwaukee Admirals220000001138110000003211100000081741.000112031009282657856787098383848239423133.33%20100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
20Ontario Reign1010000047-31010000047-30000000000000.0004812009282657236787098383841141217200.00%6266.67%01219221455.06%1045195453.48%47895050.32%144210251279397727370
21Providence Bruins2110000010911010000035-21100000074320.5001019290092826577467870983838601310328112.50%4175.00%11219221455.06%1045195453.48%47895050.32%144210251279397727370
22Rochester Americans32100000862211000006601100000020240.6678162401928265710167870983838903025789111.11%90100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
23Rockford IceHogs21100000810-2110000006511010000025-320.50081523009282657646787098383882232453100.00%10280.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
24San Jose Barracuda11000000413110000004130000000000021.0004711009282657456787098383823410194250.00%5180.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
25Springfield Thunderbirds11000000312110000003120000000000021.0003580092826576467870983838201225200.00%10100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
26Syracuse Crunch11000000633110000006330000000000021.0006111700928265748678709838382871521400.00%5180.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
27Texas Stars1100000010280000000000011000000102821.0001020300092826576567870983838337828000%30100.00%01219221455.06%1045195453.48%47895050.32%144210251279397727370
28Tucson Roadrunners2110000056-1110000003211010000024-220.500510150092826578167870983838622225459444.44%3166.67%01219221455.06%1045195453.48%47895050.32%144210251279397727370
29Utica Comets2020000069-32020000069-30000000000000.000612180092826575267870983838963744495120.00%16381.25%01219221455.06%1045195453.48%47895050.32%144210251279397727370
30Wilkes-Barre Scranton Penguins32000001963210000017611100000020250.833915240192826579267870983838118353474200.00%12283.33%01219221455.06%1045195453.48%47895050.32%144210251279397727370
Total5732180202324317766311710010031291082126158010201146945750.658243441684039282657224267870983838189256148213311573421.66%1904277.89%11219221455.06%1045195453.48%47895050.32%144210251279397727370
_Since Last GM Reset5732180202324317766311710010031291082126158010201146945750.658243441684039282657224267870983838189256148213311573421.66%1904277.89%11219221455.06%1045195453.48%47895050.32%144210251279397727370
_Vs Conference2716802001108812715760100155514129201000533023370.685108197305029282657101767870983838922269232615831416.87%892077.53%11219221455.06%1045195453.48%47895050.32%144210251279397727370
_Vs Division1676000005861-31045000003942-36310000019190140.4385811016801928265759967870983838619156128390511019.61%511766.67%11219221455.06%1045195453.48%47895050.32%144210251279397727370

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5775W124344168422421892561482133103
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5732182023243177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3117101003129108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
26158102011469
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1573421.66%1904277.89%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
678709838389282657
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
1219221455.06%1045195453.48%47895050.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
144210251279397727370


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 Barracuda1Toronto Marlies4WSommaire du match
68 - 2025-12-13499Bakersfield Condors1Toronto Marlies6WSommaire du match
71 - 2025-12-16520Rockford IceHogs5Toronto Marlies6WSommaire du match
73 - 2025-12-18539Toronto Marlies9Hershey Bears2WSommaire du match
75 - 2025-12-20558Toronto Marlies8Milwaukee Admirals1WSommaire du match
76 - 2025-12-21568Toronto Marlies10Texas Stars2WSommaire du match
78 - 2025-12-23575Wilkes-Barre Scranton Penguins2Toronto Marlies4WSommaire du match
82 - 2025-12-27590Belleville Senators4Toronto Marlies6WSommaire du match
83 - 2025-12-28601Toronto Marlies4Grand Rapids Griffins3WSommaire du match
85 - 2025-12-30617Utica Comets5Toronto Marlies3LSommaire du match
87 - 2026-01-01634Manitoba Moose4Toronto Marlies3LSommaire du match
89 - 2026-01-03651Toronto Marlies12Bridgeport Islanders4WSommaire du match
92 - 2026-01-06672Charlotte Checkers2Toronto Marlies4WSommaire du match
94 - 2026-01-08686Toronto Marlies4Lehigh Valley Phantoms3WXSommaire du match
96 - 2026-01-10702Abbotsford Canucks3Toronto Marlies1LSommaire du match
98 - 2026-01-12723Toronto Marlies2Colorado Eagles3LSommaire du match
99 - 2026-01-13733Toronto Marlies2Tucson Roadrunners4LSommaire du match
101 - 2026-01-15748Toronto Marlies0Henderson Silver Knights2LSommaire du match
103 - 2026-01-17762Toronto Marlies5Manitoba Moose3WSommaire du match
105 - 2026-01-19774Iowa Wild1Toronto Marlies10WSommaire du match
107 - 2026-01-21788Grand Rapids Griffins3Toronto Marlies4WSommaire du match
109 - 2026-01-23802Henderson Silver Knights2Toronto Marlies3WSommaire du match
111 - 2026-01-25819Colorado Eagles5Toronto Marlies7WSommaire du match
113 - 2026-01-27831Rochester Americans3Toronto Marlies4WSommaire du match
115 - 2026-01-29857Toronto Marlies3Coachella Firebirds2WXXSommaire du match
117 - 2026-01-31869Toronto Marlies4Abbotsford Canucks3WXXSommaire du match
119 - 2026-02-02885Toronto Marlies3Calgary Wranglers4LSommaire du match
120 - 2026-02-03891Toronto Marlies10Bakersfield Condors0WSommaire du match
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
-22 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
6,307,594$ 9,603,470$ 9,603,470$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 6,307,594$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 69 50,018$ 3,451,242$




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