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Toronto Marlies
GP: 1 | W: 0 | L: 1
GF: 4 | GA: 5 | PP%: 0% | PK%: 50.00%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #12 vs Rochester Americans

Centre de jeu
Toronto Marlies
0-1-0, 0pts
4
5 Rochester Americans
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
4.00Buts par match 5.00
5.00Buts contre par match 4.00
0%Pourcentage en avantage numérique50.00%
50.00%Pourcentage en désavantage numérique0%
Toronto Marlies
0-1-0, 0pts
2026-04-19
Rochester Americans
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
4.00Buts par match 5.00
5.00Buts contre par match 5.00
0%Pourcentage en avantage numérique50.00%
50.00%Pourcentage en désavantage numérique0%
Rochester Americans
1-0-0, 2pts
2026-04-21
Toronto Marlies
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
5.00Buts par match 4.00
4.00Buts contre par match 4.00
50.00%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique50.00%
Rochester Americans
1-0-0, 2pts
2026-04-23
Toronto Marlies
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
5.00Buts par match 4.00
4.00Buts contre par match 4.00
50.00%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Logan MorrisonButs
Logan Morrison
1
Logan MorrisonPasses
Logan Morrison
1
Logan MorrisonPoints
Logan Morrison
2
Blake HillmanPlus/Moins
Blake Hillman
2
Matthew MurrayVictoires
Matthew Murray
0
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.839

Statistiques d’équipe
Buts pour
4
4.00 GFG
Tirs pour
36
36.00 Avg
Pourcentage en avantage numérique
0%
0 GF
Début de zone offensive
40.9%
Buts contre
5
5.00 GAA
Tirs contre
31
31.00 Avg
Pourcentage en désavantage numérique
50.0%%
3 GA
Début de la zone défensive
36.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 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
1Luke EvangelistaX100.006134927270838871537367657463667440680221825,000$
2Devin ShoreX100.007238956379778464726559626173745240650301775,000$
3Lucas Condotta (R) (A)X100.007141736381738662656061646268723640640261775,000$
4Mackenzie MacEachernX100.007241746279807563646558616371735240640301775,000$
5Austin PoganskiX100.006839826077768559636158606269744940630281750,000$
6Anders BjorkX100.006337926472747363596057625869714540630281750,000$
7Dylan Roobroeck (R)X100.008853815997777357625661586062635140630203850,000$
8Logan MorrisonX100.006136956470828663686258566163654440630222950,000$
9Owen Beck (R) (C)X100.006939796674807464706258656362617740630203880,000$
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
1Austin Wagner (R)X100.006740796376817158575556615968705140610271750,000$
2Adam SykoraX100.005935955766828656605856595561636840600203806,666$
3Alex BeaucageX100.006738905876756757535654555864666340600231750,000$
4Ben Hemmerling (R)X100.005836955667716254515353555461634940580203821,111$
5Connor Corcoran (R)X100.006838915577746853305452564565674740590241750,000$
6Jake Furlong (R)X100.006638925575647154305352554661635740580203850,000$
7Ryan Jones (R)X100.006940835578666852305450534569714740580281750,000$
MOYENNE D’ÉQUIPE100.00684185617775775950595759566668534062
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
1Logan MorrisonToronto Marlies (TOR)C11121000332333.33%01212.7800000000000059.09%2200003.1300000010
2Austin PoganskiToronto Marlies (TOR)RW11011401331533.33%01414.6200000000010066.67%300001.3700000000
3Luke EvangelistaToronto Marlies (TOR)RW1011000026230%01313.75000000000000100.00%100001.4500000000
4Samuel KnazkoToronto Marlies (TOR)D1011200201000%01313.720000000000000%000001.4600000000
5Lucas CondottaToronto Marlies (TOR)LW11011001120050.00%01717.7800000101160040.00%500001.1200000000
6Hunter DrewToronto Marlies (TOR)D1011000103100%22020.150000000005000%000000.9900000000
7Devin ShoreToronto Marlies (TOR)C1011100124010%01818.0300000011060048.15%2700001.1100000000
8Mackenzie MacEachernToronto Marlies (TOR)LW11010001120450.00%11818.17000000000400100.00%100001.1000000000
9Sam MalinskiToronto Marlies (TOR)D1011000120110%32525.850000001106000%000000.7700000000
10Owen BeckToronto Marlies (TOR)C1011120245230%01212.770000000000000%000001.5700000000
11Anders BjorkToronto Marlies (TOR)LW1000000303230%02222.530000000000000%10000000000000
12Blake HillmanToronto Marlies (TOR)D1000220100000%01414.200000000000000%00000000000000
13Dylan RoobroeckToronto Marlies (TOR)C1000040302020%01616.9500000000130066.67%210000000000000
14Jakub BrabenecToronto Marlies (TOR)C1000000011040%01010.6200000000000041.67%120000000000000
15Hunter HaightToronto Marlies (TOR)C1000000210000%01010.620000000000000%00000000000000
16Philip KempToronto Marlies (TOR)D1000000000010%02020.220000000005000%00000000000000
17Jarred TinordiToronto Marlies (TOR)D1000000521000%12525.850000000006000%00000000000000
Statistiques d’équipe totales ou en moyenne1747119120242236113011.11%728816.98000001232450054.84%9300000.7600000010
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)10100.8395.0060005310000010000
Statistiques d’équipe totales ou en moyenne10100.8395.006000531000010000


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/ANoNo12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Austin PoganskiToronto Marlies (TOR)RW281996-02-16USANo198 Lbs6 ft1NoNoN/ANoNo12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Austin WagnerToronto Marlies (TOR)LW271997-06-23CANYes195 Lbs6 ft1NoNoDraftNoNo12025-07-15FalseFalsePro & 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 ft1NoNoTrade2025-10-07NoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Connor CorcoranToronto Marlies (TOR)D242000-08-07CANYes185 Lbs6 ft2NoNoDraftNoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Devin ShoreToronto Marlies (TOR)C301994-07-19CANNo206 Lbs6 ft1NoNoWaiverNoNo12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Dylan RoobroeckToronto Marlies (TOR)C202004-07-27CANYes207 Lbs6 ft7NoNoTrade2026-02-28NoNo32025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$850,000$----------------NoNo-------Lien / Lien NHL
Hunter DrewToronto Marlies (TOR)D251998-10-21CANNo191 Lbs6 ft2NoNoN/ANoNo12025-07-16FalseFalsePro & 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 ft6NoNoWaiverNoNo12025-07-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Keith PetruzzelliToronto Marlies (TOR)G251999-02-09USANo185 Lbs6 ft5NoNoN/ANoNo12025-07-16FalseFalsePro & 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 ManuallyNoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Luke EvangelistaToronto Marlies (TOR)RW222002-02-21CANNo183 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-07-16FalseFalsePro & Farm825,000$0$0$No---------------------------Lien / Lien NHL
Mackenzie MacEachernToronto Marlies (TOR)LW301994-03-09USANo193 Lbs6 ft2NoNoN/ANoNo12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Matthew MurrayToronto Marlies (TOR)G261998-02-02CANNo196 Lbs6 ft1NoNoTrade2025-10-13NoNo12025-07-16FalseFalsePro & 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/ANoNo12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ryan JonesToronto Marlies (TOR)D281996-05-26USAYes186 Lbs6 ft2NoNoDraftNoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Sam MalinskiToronto Marlies (TOR)D261998-07-27USANo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & 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
2624.54193 Lbs6 ft11.54803,152$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaDevin ShoreAnders Bjork27113
2Mackenzie MacEachernDylan RoobroeckLuke Evangelista26122
3Austin PoganskiLogan MorrisonOwen Beck24131
4Anders BjorkJakub BrabenecHunter Haight23122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi30122
2Hunter DrewPhilip Kemp30122
3Blake HillmanSamuel Knazko25122
4Sam MalinskiJarred Tinordi15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaDevin ShoreLuke Evangelista60122
2Mackenzie MacEachernDylan RoobroeckAustin Poganski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Devin ShoreLucas Condotta60122
2Dylan RoobroeckMackenzie MacEachern40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Devin Shore60122Sam MalinskiJarred Tinordi60122
2Dylan Roobroeck40122Hunter DrewPhilip Kemp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Devin ShoreLucas Condotta60122
2Dylan RoobroeckMackenzie MacEachern40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas CondottaDevin ShoreSam MalinskiJarred Tinordi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernDylan RoobroeckAustin PoganskiHunter DrewPhilip Kemp
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Poganski, Anders Bjork, Dylan RoobroeckAustin Poganski, Anders BjorkAustin Poganski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Kemp, Blake Hillman, Samuel KnazkoPhilip KempPhilip Kemp, Blake Hillman
Tirs de pénalité
Luke Evangelista, Devin Shore, Lucas Condotta, Mackenzie MacEachern, Austin Poganski
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
1Rochester Americans1010000045-1000000000001010000045-100.00047110021103614121003171224000%6350.00%1213855.26%183452.94%122157.14%2417226126
Total1010000045-1000000000001010000045-100.00047110021103614121003171224000%6350.00%1213855.26%183452.94%122157.14%2417226126
_Since Last GM Reset1010000045-1000000000001010000045-100.00047110021103614121003171224000%6350.00%1213855.26%183452.94%122157.14%2417226126
_Vs Conference1010000045-1000000000001010000045-100.00047110021103614121003171224000%6350.00%1213855.26%183452.94%122157.14%2417226126
_Vs Division1010000045-1000000000001010000045-100.00047110021103614121003171224000%6350.00%1213855.26%183452.94%122157.14%2417226126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L1471136317122400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000045
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000045
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%6350.00%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
14121002110
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
213855.26%183452.94%122157.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2417226126


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-04-174Toronto Marlies4Rochester Americans5LSommaire du match
3 - 2026-04-1912Toronto Marlies-Rochester Americans-
5 - 2026-04-2120Rochester Americans-Toronto Marlies-
7 - 2026-04-2328Rochester Americans-Toronto Marlies-
9 - 2026-04-2536Toronto Marlies-Rochester Americans-
11 - 2026-04-2744Rochester Americans-Toronto Marlies-
13 - 2026-04-2952Toronto Marlies-Rochester Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 10,440,970$ 10,440,970$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 0$ 0$




Toronto Marlies Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Toronto Marlies Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Toronto Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Toronto Marlies Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Toronto Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA