Connexion

Toronto Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Pascal Levesque | Morale : 40 | Moyenne d’équipe : 51
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPascal Levesque
EntraîneurAndrew Brunette
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 100
Espoirs28


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
1Sam Lafferty0XX100.0083397967778683687763647766757252586802900$
2Dominic Toninato 0XXX100.0077378164818285647362637362767249736603000$
3Carl Grundstrom0XXX100.0088358967757785596662687060646171636522900$
4Jesper Froden0XX100.0066457360778081625066616267676268576202900$
5Adam Brooks 0X100.006141866370817862676060636373727040622282950,000$
6Egor Afanasyev (R)0X100.0076407465898388635860625758604385646202300$
7Jason Polin (R)0XX100.006655707178787766505862636156515967620251833,000$
8Jamie Devane0XXX100.0086646955967978516653536453807251396103300$
9Joseph LaBate0XX100.0074568058918281555460595758787247356103100$
10Mikael Pyyhtia (R)0XX100.005530676867747558505457586257527541580222833,000$
11Logan Morrison0XX100.006055665667757458506460575746517658580222650,000$
12Grant Mismash (R)0X100.0063557957717870525052535760634374465602500$
13Matthew Stienburg (R)0X100.006555715667727450505148555447577320542232833,000$
14Marc Del Gaizo (R)0X100.0076457867698280613070597554634376676602400$
15Shakir Mukhamadullin (R)0X100.007645716879787760306060705556477553642222900,000$
16Keaton Middleton0X100.0090576055808282593057536346696858516402600$
17Ryker Evans0X100.005840726168737261306755664864637540610261897,500$
18Mason Millman (R)0X100.006660716164727755305758646065657338610233800,000$
19Jorian Donovan (R)0X100.006550715661727754305151575551467938562202833,000$
Rayé
1Aiden Mcdonough (R)0X100.007038945784757160665561605860628040600242833,000$
2Nathan Gaucher (R)0X100.001111111111111111150202833,000$
3Vladislav Firstov (R)0XX100.001111111111111111152232925,000$
4Kalle Vaisanen0X100.001111111111111111151212833,000$
5Lucas Ciona (R)0X100.001111111111111111150212833,000$
MOYENNE D’ÉQUIPE100.00593963526365654942494953485349574152
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
1Arturs Silovs (R)0100.00778783877675777577787663708040750233950,000$
Rayé
1Calle Clang (R)0100.0011111111111111132222833,000$
MOYENNE D’ÉQUIPE100.0039444244393839383940393236412139
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette 73818773727076CAN5021,000,000$


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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 Brooks Toronto Marlies (TOR)C281996-05-06CANNo182 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien
Aiden McdonoughToronto Marlies (TOR)LW241999-11-06USAYes205 Lbs6 ft2NoNoDraftNoNo22024-06-29FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------Lien
Arturs SilovsToronto Marlies (TOR)G232001-03-22LATYes203 Lbs6 ft4NoNoDraftNoNo3FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Calle ClangToronto Marlies (TOR)G222002-05-20SWEYes195 Lbs6 ft2NoNoDraftNoNo22024-06-29FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------Lien
Carl GrundstromToronto Marlies (TOR)C/LW/RW291995-07-05SWENo194 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Dominic Toninato Toronto Marlies (TOR)C/LW/RW301994-03-09USANo201 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Egor AfanasyevToronto Marlies (TOR)C232001-01-23RUSYes211 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Grant MismashToronto Marlies (TOR)LW251999-02-19USAYes184 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Jamie DevaneToronto Marlies (TOR)C/LW/RW331991-02-20CANNo232 Lbs6 ft5NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Jason PolinToronto Marlies (TOR)LW/RW251999-06-17USAYes198 Lbs6 ft0NoNoFree AgentNoNo12024-04-01FalseFalsePro & Farm833,000$833,000$0$0$No---------------------------Lien
Jesper FrodenToronto Marlies (TOR)LW/RW291994-09-21SWENo179 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Jorian DonovanToronto Marlies (TOR)D202004-04-05CANYes185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------
Joseph LaBateToronto Marlies (TOR)LW/RW311993-04-16USANo210 Lbs6 ft5NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Kalle VaisanenToronto Marlies (TOR)RW212003-01-28FINNo187 Lbs6 ft2NoNoProspectNoNo22024-06-29FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------Lien
Keaton MiddletonToronto Marlies (TOR)D261998-02-10CANNo240 Lbs6 ft6NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Logan MorrisonToronto Marlies (TOR)C/LW222002-07-09CANNo180 Lbs6 ft0NoNoAssign ManuallyNoNo22024-03-21FalseFalsePro & Farm650,000$650,000$0$0$No650,000$--------650,000$--------No--------Lien
Lucas CionaToronto Marlies (TOR)LW212003-01-08CANYes210 Lbs6 ft2NoNoProspectNoNo22024-06-29FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------Lien
Marc Del GaizoToronto Marlies (TOR)D241999-10-11USAYes190 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Mason MillmanToronto Marlies (TOR)D232001-07-18CANYes175 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Matthew StienburgToronto Marlies (TOR)C232000-10-07CANYes186 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------
Mikael PyyhtiaToronto Marlies (TOR)LW/RW222001-12-17FINYes154 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------
Nathan GaucherToronto Marlies (TOR)C202003-11-06CANYes207 Lbs6 ft3NoNoProspectNoNo22024-06-29FalseFalsePro & Farm833,000$833,000$0$0$No833,000$--------833,000$--------No--------Lien
Ryker EvansToronto Marlies (TOR)D261997-12-18CANNo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm897,500$897,500$0$0$No---------------------------
Sam LaffertyToronto Marlies (TOR)C/RW291995-03-06USANo195 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Shakir MukhamadullinToronto Marlies (TOR)D222002-01-10RUSYes185 Lbs6 ft4NoNoDraftNoNo2FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien
Vladislav FirstovToronto Marlies (TOR)LW/RW232001-06-19RUSYes180 Lbs6 ft0NoNoDraftNoNo22024-06-29FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.77195 Lbs6 ft21.23521,904$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaJason Polin30122
2Carl GrundstromJoseph LaBateJesper Froden30122
3Egor AfanasyevJamie DevaneLogan Morrison20122
4Carl GrundstromJason Polin20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker Evans30122
2Mason MillmanKeaton Middleton30122
3Shakir Mukhamadullin20122
4Keaton Middleton20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jason PolinEgor Afanasyev60122
2Carl GrundstromJoseph LaBateJesper Froden40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir Mukhamadullin60122
2Keaton MiddletonRyker Evans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jason Polin60122
2Carl GrundstromJesper Froden40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinKeaton Middleton60122
2Mason Millman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Ryker EvansShakir Mukhamadullin60122
2Carl Grundstrom40122Keaton Middleton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper FrodenCarl Grundstrom60122
2Jason Polin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonShakir Mukhamadullin60122
2Ryker Evans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromJason PolinKeaton Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromJason PolinKeaton Middleton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carl Grundstrom, Jesper Froden, Carl Grundstrom, Carl Grundstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Shakir Mukhamadullin, Keaton MiddletonKeaton MiddletonKeaton Middleton,
Tirs de pénalité
Jason Polin, Carl Grundstrom, Jesper Froden, Egor Afanasyev,
Gardien
#1 : , #2 : Arturs Silovs
Lignes d’attaque personnalisées en prolongation
, Jason Polin, , Joseph LaBate, Logan Morrison, Egor Afanasyev, Egor Afanasyev, Carl Grundstrom, Jamie Devane, Jesper Froden, Mikael Pyyhtia
Lignes de défense personnalisées en prolongation
Shakir Mukhamadullin, , , Ryker Evans, Keaton Middleton


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
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 jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,356,950$ 1,356,950$ 1,000,000$0$
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