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Toronto Marlies
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Pascal Levesque | Morale : 1 | Moyenne d’équipe : 62
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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 Pro25
Équipe Mineure19
Limite contact 44 / 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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Sam Lafferty0XX100.008339796777868368776364776675725258680291950,000$
2Dominic Toninato 0XXX100.007737816481828564736263736276724975660301850,000$
3Carl Grundstrom0XXX100.008835896775778559666268706064617163652281950,000$
4Jesper Froden0XX100.006645736077808162506661626767626857620291750,000$
5Egor Afanasyev (R)0X100.007640746589838863586062575860438564620231789,167$
6Jason Polin (R)0XX100.006655707178787766505862636156515967620242833,000$
7Jamie Devane0XXX100.008664695596797851665353645380725139610331750,000$
8Joseph LaBate0XX100.007456805891828155546059575878724735610311750,000$
9Mikael Pyyhtia (R)0XX100.005530676867747558505457586257527541580223833,000$
10Logan Morrison0XX100.006055665667757458506460575746517658580213650,000$
11Grant Mismash (R)0X100.006355795771787052505253576063437446560251750,000$
12Jarid Lukosevicius0XX100.005746815567798153545256505571675440560291750,000$
13Marc Del Gaizo (R)0X100.007645786769828061307059755463437669660241850,833$
14Shakir Mukhamadullin (R)0X100.007645716879787760306060705556477553642223900,000$
15Keaton Middleton0X100.009057605580828259305753634669685851640261875,000$
16Ryker Evans (R)0X100.005840726168737261306755664864637540610262897,500$
17Mason Millman (R)0X100.006660716164727755305758646065657338610224800,000$
18Adam Brubacher (R)0X100.007445866084616551305250554546673923580281750,000$
19Clifford Watson0X100.005189695778776756305051635252524436580301750,000$
20Jorian Donovan (R)0X100.006550715661727754305151575551467938562203833,000$
Rayé
1Adam Brooks 0X100.006541896370767868656360595373727038622283950,000$
2Matthew Stienburg (R)0X100.006555715667727450505148555447577320542233833,000$
MOYENNE D’ÉQUIPE100.00704975617577785848585762566359654861
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 moyen
1Arturs Silovs (R)0100.00688080867878787878717555558069730234950,000$
2Antoine Bibeau0100.00886672846969717168706973775785710302925,000$
Rayé
1David Hrenak0100.00776866686970676669645045556020640274925,000$
MOYENNE D’ÉQUIPE100.0078717379727272727268655862665869
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette 73818773727076CAN4931,000,000$


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 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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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)C281996-05-06 04:29:07No182 Lbs5 ft10NoNoN/ANoNo3Pro & Farm950,000$158,333$950,000$158,333$0$0$No950,000$950,000$-------NoNo-------
Adam BrubacherToronto Marlies (TOR)D281995-12-13 11:47:21Yes205 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------
Antoine BibeauToronto Marlies (TOR)G301994-05-01No205 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$154,167$925,000$154,167$0$0$No925,000$--------No--------Lien
Arturs SilovsToronto Marlies (TOR)G232001-03-22 08:45:12Yes203 Lbs6 ft4NoNoDraftNoNo4Pro & Farm950,000$158,333$950,000$158,333$0$0$No950,000$950,000$950,000$------NoNoNo------Lien
Carl GrundstromToronto Marlies (TOR)C/LW/RW281995-07-05 02:46:18No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm950,000$158,333$950,000$158,333$0$0$No------------------
Clifford WatsonToronto Marlies (TOR)D301993-12-21No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------Lien
David HrenakToronto Marlies (TOR)G271997-05-05 06:54:45No189 Lbs6 ft2NoNoN/ANoNo4Pro & Farm925,000$154,167$925,000$154,167$0$0$No925,000$925,000$925,000$------NoNoNo------
Dominic Toninato Toronto Marlies (TOR)C/LW/RW301994-03-09 01:45:15No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,000$141,667$850,000$141,667$0$0$No------------------Lien
Egor AfanasyevToronto Marlies (TOR)C232001-01-23 16:20:54Yes211 Lbs6 ft2NoNoN/ANoNo1Pro & Farm789,167$131,528$789,167$131,528$0$0$No------------------
Grant MismashToronto Marlies (TOR)LW251999-02-19 07:24:20Yes184 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------
Jamie DevaneToronto Marlies (TOR)C/LW/RW331991-02-20No232 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------Lien
Jarid LukoseviciusToronto Marlies (TOR)LW/RW291995-02-05No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------Lien
Jason PolinToronto Marlies (TOR)LW/RW241999-06-17 05:43:41Yes198 Lbs6 ft0NoNoFree AgentNoNo22024-04-01Pro & Farm833,000$138,833$833,000$138,833$0$0$No833,000$--------No--------Lien
Jesper FrodenToronto Marlies (TOR)LW/RW291994-09-21 02:46:55No179 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------Lien
Jorian DonovanToronto Marlies (TOR)D202004-04-05 05:42:57Yes185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm833,000$138,833$833,000$138,833$0$0$No833,000$833,000$-------NoNo-------
Joseph LaBateToronto Marlies (TOR)LW/RW311993-04-16No210 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$125,000$750,000$125,000$0$0$No------------------Lien / Lien NHL
Keaton MiddletonToronto Marlies (TOR)D261998-02-10No240 Lbs6 ft6NoNoN/ANoNo1Pro & Farm875,000$145,833$875,000$145,833$0$0$No------------------Lien
Logan MorrisonToronto Marlies (TOR)C/LW212002-07-09 05:06:25No180 Lbs6 ft0NoNoAssign ManuallyNoNo32024-03-21Pro & Farm650,000$108,333$650,000$108,333$0$0$No650,000$650,000$-------NoNo-------Lien
Marc Del GaizoToronto Marlies (TOR)D241999-10-11 16:23:17Yes190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm850,833$141,806$850,833$141,806$0$0$No------------------Lien
Mason MillmanToronto Marlies (TOR)D222001-07-18 05:54:33Yes175 Lbs6 ft1NoNoN/ANoNo4Pro & Farm800,000$133,333$800,000$133,333$0$0$No800,000$800,000$800,000$------NoNoNo------
Matthew StienburgToronto Marlies (TOR)C232000-10-07 05:49:17Yes186 Lbs6 ft2NoNoN/ANoNo3Pro & Farm833,000$138,833$833,000$138,833$0$0$No833,000$833,000$-------NoNo-------
Mikael PyyhtiaToronto Marlies (TOR)LW/RW222001-12-17 05:50:57Yes154 Lbs6 ft0NoNoN/ANoNo3Pro & Farm833,000$138,833$833,000$138,833$0$0$No833,000$833,000$-------NoNo-------
Ryker EvansToronto Marlies (TOR)D261997-12-18 09:10:54Yes189 Lbs5 ft11NoNoN/ANoNo2Pro & Farm897,500$149,583$897,500$149,583$0$0$No897,500$--------No--------
Sam LaffertyToronto Marlies (TOR)C/RW291995-03-06No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm950,000$158,333$950,000$158,333$0$0$No------------------Lien
Shakir MukhamadullinToronto Marlies (TOR)D222002-01-10 05:54:15Yes185 Lbs6 ft4NoNoDraftNoNo3Pro & Farm900,000$150,000$900,000$150,000$0$0$No900,000$900,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.12194 Lbs6 ft11.96833,780$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaJason PolinDominic Toninato 30122
2Carl GrundstromJoseph LaBateJesper Froden30122
3Egor AfanasyevSam LaffertyLogan Morrison20122
4Carl GrundstromDominic Toninato Sam Lafferty20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansMarc Del Gaizo30122
2Mason MillmanKeaton Middleton30122
3Shakir Mukhamadullin20122
4Keaton Middleton20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jason PolinDominic Toninato Egor Afanasyev60122
2Carl GrundstromSam LaffertyJesper Froden40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoShakir Mukhamadullin60122
2Keaton Middleton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominic Toninato Jason Polin60122
2Carl GrundstromJesper Froden40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinKeaton Middleton60122
2Marc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominic Toninato 60122Shakir Mukhamadullin60122
2Carl Grundstrom40122Marc Del GaizoKeaton Middleton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper FrodenCarl Grundstrom60122
2Jason PolinDominic Toninato 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton Middleton60122
2Marc Del GaizoRyker Evans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromJason PolinDominic Toninato Keaton Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl GrundstromJason PolinDominic Toninato Keaton Middleton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carl Grundstrom, Jesper Froden, Dominic Toninato Carl Grundstrom, Dominic Toninato Carl Grundstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc Del Gaizo, , Keaton MiddletonKeaton MiddletonKeaton Middleton,
Tirs de pénalité
Jason Polin, Carl Grundstrom, Jesper Froden, Sam Lafferty, Dominic Toninato
Gardien
#1 : Antoine Bibeau, #2 : Arturs Silovs
Lignes d’attaque personnalisées en prolongation
Jarid Lukosevicius, Jason Polin, Dominic Toninato , Joseph LaBate, Logan Morrison, Egor Afanasyev, Egor Afanasyev, Carl Grundstrom, Sam Lafferty, Jesper Froden, Mikael Pyyhtia
Lignes de défense personnalisées en prolongation
Shakir Mukhamadullin, Marc Del Gaizo, , 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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,084,450$ 2,084,450$ 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$ 7 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