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Toronto Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: | Morale : 40 | Moyenne d’équipe : 62

Meneurs d'équipe

Statistiques d’équipe
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 Pro20
Équipe Mineure20
Limite Contrat40 / 250
Espoirs113


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Luke EvangelistaX100.0060349076718688755078656377656772406902200$
2Austin PoganskiX100.0068389165777887636764616266707548406502800$
3Mackenzie MacEachernX100.0072417062798172615967636163727439406403000$
4Logan MorrisonX100.006138876570858662676463616564664340640221950,000$
5Dylan RoobroeckX100.008853725897808757605659645562644940630202850,000$
6Owen Beck (C)X100.006839826674808862676058646162657740630202880,000$
7Lucas Condotta (A)X100.0071516858817386566157596256697436406202600$
8Jakub BrabenecX100.006438885973748356605857555963656140610211828,333$
9Hunter HaightX100.006336866065838459625761565863647340610202918,333$
10Hunter DrewX100.0070555358797782575156595455687042406002500$
11Sam MalinskiX100.0065349371708790673075646653686936406802600$
12Jarred TinordiX100.0089826357986673553054536245747645406203200$
13Blake HillmanX100.0067389556766476553054535745707239406002800$
14Philip KempX100.0075427656846583543053555746677242406002500$
Rayé
1Adam SykoraX100.006837916271828759615865635962646840630202806,666$
2Filip HallanderX100.005636926678826263506457656266676440630241500,000$
3Ben HemmerlingX100.005836945767767556545958555762644940600202821,111$
4Dominik BadinkaX100.007140925580668654305352564661637740590181500,000$
5Jake FurlongX100.006641735775657455305654584662645740590202850,000$
6Chase PietilaX100.006948655578658554305351564562646140580201500,000$
MOYENNE D’ÉQUIPE100.00684381617776825949605860566668544062
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
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
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


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)LW202004-09-07SVKNo193 Lbs5 ft11NoNoProspectNoNo22024-09-16FalseFalsePro & Farm806,666$0$0$No806,666$-----------------No--------Lien / Lien NHL
Austin PoganskiToronto Marlies (TOR)RW281996-02-16USANo198 Lbs6 ft1NoNoN/ANoNo02025-07-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ben HemmerlingToronto Marlies (TOR)RW202004-04-21CANNo174 Lbs5 ft11NoNoDraftNoNo22025-07-16FalseFalsePro & Farm821,111$0$0$No821,111$-----------------No--------Lien / Lien NHL
Blake HillmanToronto Marlies (TOR)D281996-01-26USANo193 Lbs6 ft1NoNoTrade2025-10-07NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Chase PietilaToronto Marlies (TOR)D202004-03-03USANo186 Lbs6 ft2NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Dominik BadinkaToronto Marlies (TOR)D182005-11-27CZENo183 Lbs6 ft3NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Dylan RoobroeckToronto Marlies (TOR)C202004-07-27CANNo207 Lbs6 ft7NoNoTrade2026-02-28NoNo22025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$-----------------No--------Lien / Lien NHL
Filip HallanderToronto Marlies (TOR)C242000-06-29SWENo203 Lbs6 ft1NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Hunter DrewToronto Marlies (TOR)RW251998-10-21CANNo191 Lbs6 ft2NoNoN/ANoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Hunter HaightToronto Marlies (TOR)C202004-04-04CANNo173 Lbs5 ft10NoNoTrade2025-12-29NoNo22025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$-----------------No--------Lien / Lien NHL
Jake FurlongToronto Marlies (TOR)D202004-03-04CANNo189 Lbs6 ft1NoNoDraftNoNo22025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$-----------------No--------Lien / Lien NHL
Jakub BrabenecToronto Marlies (TOR)C212003-09-11CZENo180 Lbs6 ft1NoNoTrade2025-10-13NoNo12024-09-17FalseFalsePro & Farm828,333$0$0$No---------------------------Lien / Lien NHL
Jarred TinordiToronto Marlies (TOR)D321992-02-20USANo229 Lbs6 ft6NoNoWaiverNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Logan MorrisonToronto Marlies (TOR)C222002-07-09CANNo179 Lbs6 ft0NoNoTrade2025-10-12NoNo12025-07-16FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Lucas CondottaToronto Marlies (TOR)LW261997-11-06CANNo218 Lbs6 ft1NoNoAssign ManuallyNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Luke EvangelistaToronto Marlies (TOR)RW222002-02-21CANNo183 Lbs6 ft0NoNoTrade2025-11-13NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Mackenzie MacEachernToronto Marlies (TOR)LW301994-03-09USANo193 Lbs6 ft2NoNoN/ANoNo02024-09-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Owen BeckToronto Marlies (TOR)C202004-02-03CANNo199 Lbs6 ft0NoNoProspectNoNo22025-07-16FalseFalsePro & Farm880,000$0$0$No880,000$-----------------No--------Lien / Lien NHL
Philip KempToronto Marlies (TOR)D251999-02-12USANo202 Lbs6 ft3NoNoN/ANoNo02024-09-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Sam MalinskiToronto Marlies (TOR)D261998-07-27USANo190 Lbs5 ft11NoNoAssign ManuallyNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2023.35193 Lbs6 ft10.85420,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaLuke Evangelista27113
2Mackenzie MacEachernDylan Roobroeck26122
3Austin PoganskiLogan MorrisonOwen Beck24122
4Jakub BrabenecHunter Haight23122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiJarred Tinordi30122
2Hunter DrewPhilip Kemp30122
3Blake Hillman25122
4Sam MalinskiJarred Tinordi15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas CondottaLuke 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
1Lucas 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
160122Sam MalinskiJarred Tinordi60122
2Dylan Roobroeck40122Hunter DrewPhilip Kemp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas 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 CondottaSam MalinskiJarred Tinordi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernDylan RoobroeckAustin PoganskiHunter DrewPhilip Kemp
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Poganski, , Dylan RoobroeckAustin Poganski, Austin Poganski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Kemp, Blake Hillman, Philip KempPhilip Kemp, Blake Hillman
Tirs de pénalité
Luke Evangelista, , Lucas Condotta, Mackenzie MacEachern, Austin Poganski
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
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%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



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 jourCapacité de l’arénaPopularité 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$ 4,202,220$ 4,202,220$ 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$ 0 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