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Toronto Marlies
GP: 52 | W: 32 | L: 17 | OTL: 3 | P: 67
GF: 219 | GA: 165 | PP%: 21.23% | PK%: 77.78%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #831 vs Rochester Americans

Centre de jeu
Henderson Silver Knights
30-18-3, 63pts
2
3 Toronto Marlies
32-17-3, 67pts
Team Stats
W1SéquenceW5
15-8-2Fiche domicile17-10-3
15-10-1Fiche domicile15-7-0
6-4-0Derniers 10 matchs6-4-0
4.57Buts par match 4.21
3.02Buts contre par match 3.17
23.31%Pourcentage en avantage numérique21.23%
77.36%Pourcentage en désavantage numérique77.78%
Colorado Eagles
30-17-3, 63pts
5
7 Toronto Marlies
32-17-3, 67pts
Team Stats
L1SéquenceW5
17-8-1Fiche domicile17-10-3
13-9-2Fiche domicile15-7-0
5-5-0Derniers 10 matchs6-4-0
3.98Buts par match 4.21
3.34Buts contre par match 3.17
24.64%Pourcentage en avantage numérique21.23%
73.91%Pourcentage en désavantage numérique77.78%
Rochester Americans
40-11-0, 80pts
2026-01-27
Toronto Marlies
32-17-3, 67pts
Statistiques d’équipe
W6SéquenceW5
18-7-0Fiche domicile17-10-3
22-4-0Fiche visiteur15-7-0
9-1-010 derniers matchs6-4-0
5.10Buts par match 4.21
2.51Buts contre par match 4.21
25.73%Pourcentage en avantage numérique21.23%
78.62%Pourcentage en désavantage numérique77.78%
Toronto Marlies
32-17-3, 67pts
2026-01-29
Coachella Firebirds
24-22-5, 53pts
Statistiques d’équipe
W5SéquenceL2
17-10-3Fiche domicile12-12-2
15-7-0Fiche visiteur12-10-3
6-4-010 derniers matchs5-4-1
4.21Buts par match 4.35
3.17Buts contre par match 4.35
21.23%Pourcentage en avantage numérique27.66%
77.78%Pourcentage en désavantage numérique74.57%
Toronto Marlies
32-17-3, 67pts
2026-01-31
Abbotsford Canucks
33-14-5, 71pts
Statistiques d’équipe
W5SéquenceW5
17-10-3Fiche domicile15-7-2
15-7-0Fiche visiteur18-7-3
6-4-010 derniers matchs8-2-0
4.21Buts par match 5.00
3.17Buts contre par match 5.00
21.23%Pourcentage en avantage numérique28.57%
77.78%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Anders BjorkButs
Anders Bjork
33
Sam MalinskiPasses
Sam Malinski
39
Owen BeckPoints
Owen Beck
59
Philip KempPlus/Moins
Philip Kemp
44
Matthew MurrayVictoires
Matthew Murray
30
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.909

Statistiques d’équipe
Buts pour
219
4.21 GFG
Tirs pour
2069
39.79 Avg
Pourcentage en avantage numérique
21.2%
31 GF
Début de zone offensive
43.7%
Buts contre
165
3.17 GAA
Tirs contre
1730
33.27 Avg
Pourcentage en désavantage numérique
77.8%%
38 GA
Début de la zone défensive
37.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 250
Espoirs107


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$
14Samuel Bolduc (A)X100.007840956391808164306260615365676940650231800,000$
15Hunter DrewX100.007053506179757759305760585167694240610251750,000$
16Philip KempX100.006940755784658358305355594766684740610251775,000$
17Blake Hillman (R)X100.006738945776638056305553544569714040600281750,000$
Rayé
1Alex BeaucageX100.006738905876756757535654555864666340600231750,000$
2Ben Hemmerling (R)X100.005836955667716254515353555461634940580203821,111$
3Samuel KnazkoX100.006838925877647855305754564663656440600221902,500$
4Connor Corcoran (R)X100.006838915577746853305452564565674740590241750,000$
5Jake Furlong (R)X100.006638925575647154305352554661635740580203850,000$
6Ryan Jones (R)X100.006940835578666852305450534569714740580281750,000$
MOYENNE D’ÉQUIPE100.00684185607775775948595659546668534062
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)C512138592620081170220531389.55%22102520.112573610801161551254.24%140300001.1503000344
2Sam MalinskiToronto Marlies (TOR)D51143953163204793123468711.38%93126324.779413631330004136110%000000.8400000323
3Anders BjorkToronto Marlies (TOR)LW52331952306032821645511020.12%1579415.27112270000236154.32%8100121.3100000354
4Lucas CondottaToronto Marlies (TOR)LW5122264817391510990229621489.61%16106420.871673712210181615051.22%8200010.9013003281
5Mackenzie MacEachernToronto Marlies (TOR)LW5218274510140118581594912911.32%1380615.5121214311250001251145.16%6200001.1201000131
6Philip KempToronto Marlies (TOR)D5210293944260494066303615.15%60104120.03224211130000981033.33%300000.7500000112
7Logan MorrisonToronto Marlies (TOR)C531721381420241121624311010.49%1087516.523811331270001823153.26%114900010.8703000113
8Samuel BolducToronto Marlies (TOR)D517313812435134489533747.37%78124624.44369421320000130110%000000.6100001011
9Austin WagnerToronto Marlies (TOR)LW5110273733235695112144948.26%975314.7800002000000164.00%5000000.9801010111
10Devin ShoreToronto Marlies (TOR)C38102737101004010413031787.69%1271918.94391223890001852057.80%95500001.0301000213
11Alex BeaucageToronto Marlies (TOR)RW3912223423120463488247413.64%783921.542241696000002142.37%5900000.8100000113
12Austin PoganskiToronto Marlies (TOR)RW52112132102407366145371047.59%1087316.790118400000400147.01%11700000.7311000204
13Hunter DrewToronto Marlies (TOR)D5162026368935111377926497.59%55103320.27314361130111108200%000000.5000124000
14Jakub BrabenecToronto Marlies (TOR)C508152314100425569214311.59%44619.2300001000003050.17%58000001.0000000110
15Adam SykoraToronto Marlies (TOR)LW511351812100113472143918.06%43877.6000000000002246.43%2800000.9300000012
16Blake HillmanToronto Marlies (TOR)D51113141720063202913213.45%5380215.7300029000158000%000000.3500000000
17Colton DachToronto Maple LeafsC165914012047517318426.85%533821.1712319480000242054.49%35600000.8300000300
18Samuel KnazkoToronto Marlies (TOR)D44291192006517288177.14%2565714.9500004000018000%200000.3300000000
19Jarred TinordiToronto Marlies (TOR)D8055115530177320%1814818.5101112000016000%000000.6800010001
20Hunter HaightToronto Marlies (TOR)C5044420510236100%011322.6200015000000062.50%800000.7100000000
21Ben HemmerlingToronto Marlies (TOR)RW5101-3003381312.50%18016.16101110000000040.91%2200000.2500000000
22Jake FurlongToronto Marlies (TOR)D1000300000000%077.950000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne87522140762833842965119911922090617140810.57%5101533617.533360933721294123231169321253.74%495700140.82213148243033
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)46301320.9092.7927142212613910200.5569455610
Statistiques d’équipe totales ou en moyenne46301320.9092.7927142212613910209455610


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
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 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
2524.76194 Lbs6 ft11.48800,278$



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 MalinskiSamuel Bolduc30122
2Hunter DrewJarred Tinordi30122
3Blake HillmanPhilip Kemp25122
4Samuel BolducSam 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 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 DrewJarred Tinordi40122
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 DrewJarred Tinordi40122
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, Jarred Tinordi, Samuel BolducBlake 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 Canucks1010000013-21010000013-20000000000000.000123008371634206336367842845108192150.00%4175.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
2Bakersfield Condors11000000615110000006150000000000021.000611170083716347063363678428113220100.00%10100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
3Belleville Senators11000000642110000006420000000000021.00061218008371634406336367842830128322150.00%3233.33%01132205455.11%948178053.26%43786750.40%13129341167362658333
4Bridgeport Islanders1100000012480000000000011000000124821.00012193100837163466633636784282215016100.00%000%01132205455.11%948178053.26%43786750.40%13129341167362658333
5Calgary Wranglers1000000156-11000000156-10000000000010.5005712008371634546336367842835144253133.33%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
6Charlotte Checkers2110000056-1110000004221010000014-320.500510150083716348463363678428771619515120.00%7357.14%01132205455.11%948178053.26%43786750.40%13129341167362658333
7Chicago Wolves20100001710-31000000134-11010000046-210.250714210083716346563363678428742016437114.29%8275.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
8Cleveland Monsters330000001459110000008352200000062461.00014274100837163496633636784288722264415320.00%11190.91%01132205455.11%948178053.26%43786750.40%13129341167362658333
9Coachella Firebirds11000000523110000005230000000000021.000591400837163440633636784282299195120.00%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
10Colorado Eagles21100000981110000007521010000023-120.500915240083716349363363678428512117595240.00%5260.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
11Grand Rapids Griffins4310000019163211000001112-12200000084460.7501936550083716341596336367842817443289914428.57%14564.29%01132205455.11%948178053.26%43786750.40%13129341167362658333
12Hartford Wolf Pack10001000321100010003210000000000021.0003690083716344363363678428249231300.00%10100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
13Henderson Silver Knights2110000034-1110000003211010000002-220.5003690083716346863363678428682316538112.50%70100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
14Hershey Bears220000001331000000000000220000001331041.000132336008371634876336367842848236437114.29%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
15Iowa Wild1100000010191100000010190000000000021.0001018280083716346663363678428176621000%3166.67%01132205455.11%948178053.26%43786750.40%13129341167362658333
16Laval Rocket30300000417-1320200000310-71010000017-600.000461000837163493633636784281603523779222.22%9544.44%01132205455.11%948178053.26%43786750.40%13129341167362658333
17Lehigh Valley Phantoms21001000963000000000002100100096341.0009162500837163477633636784286214184211327.27%9277.78%01132205455.11%948178053.26%43786750.40%13129341167362658333
18Manitoba Moose211000008711010000034-11100000053220.50081220008371634866336367842846121443300.00%7185.71%01132205455.11%948178053.26%43786750.40%13129341167362658333
19Milwaukee Admirals220000001138110000003211100000081741.000112031008371634856336367842848239423133.33%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
20Ontario Reign1010000047-31010000047-30000000000000.0004812008371634236336367842841141217200.00%6266.67%01132205455.11%948178053.26%43786750.40%13129341167362658333
21Providence Bruins2110000010911010000035-21100000074320.5001019290083716347463363678428601310328112.50%4175.00%11132205455.11%948178053.26%43786750.40%13129341167362658333
22Rochester Americans211000004311010000023-11100000020220.5004812018371634696336367842866221845500.00%90100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
23Rockford IceHogs21100000810-2110000006511010000025-320.50081523008371634646336367842882232453100.00%10280.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
24San Jose Barracuda11000000413110000004130000000000021.0004711008371634456336367842823410194250.00%5180.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
25Springfield Thunderbirds11000000312110000003120000000000021.0003580083716346463363678428201225200.00%10100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
26Syracuse Crunch11000000633110000006330000000000021.0006111700837163448633636784282871521400.00%5180.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
27Texas Stars1100000010280000000000011000000102821.0001020300083716346563363678428337828000%30100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
28Tucson Roadrunners2110000056-1110000003211010000024-220.500510150083716348163363678428622225459444.44%3166.67%01132205455.11%948178053.26%43786750.40%13129341167362658333
29Utica Comets2020000069-32020000069-30000000000000.000612180083716345263363678428963744495120.00%16381.25%01132205455.11%948178053.26%43786750.40%13129341167362658333
30Wilkes-Barre Scranton Penguins32000001963210000017611100000020250.833915240183716349263363678428118353474200.00%12283.33%01132205455.11%948178053.26%43786750.40%13129341167362658333
Total523017020032191655430161001003125105202214701000946034670.644219399618028371634206963363678428173051543311871463121.23%1713877.78%11132205455.11%948178053.26%43786750.40%13129341167362658333
_Since Last GM Reset523017020032191655430161001003125105202214701000946034670.644219399618028371634206963363678428173051543311871463121.23%1713877.78%11132205455.11%948178053.26%43786750.40%13129341167362658333
_Vs Conference2615802001104782614660100151483129201000533023350.67310418929302837163498563363678428898261225582791316.46%892077.53%11132205455.11%948178053.26%43786750.40%13129341167362658333
_Vs Division1566000005458-4935000003539-46310000019190120.400541021560183716345676336367842859514812135747919.15%511766.67%11132205455.11%948178053.26%43786750.40%13129341167362658333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5267W521939961820691730515433118702
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5230172003219165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3016101003125105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2214710009460
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
1463121.23%1713877.78%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
633636784288371634
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
1132205455.11%948178053.26%43786750.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13129341167362658333


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 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
-21 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,705,425$ 10,003,470$ 10,003,470$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 5,705,425$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 81 52,101$ 4,220,181$




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