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Toronto Marlies
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: DJ | Morale : 99 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDJ
EntraîneurMartin St-Louis
DivisionEastern
ConférenceConference 1
CapitaineConnor Bedard
Assistant #1T.J. Fox
Assistant #2Andrej Sekera


Informations de l’aréna

Capacité10,000
Assistance
Billets de saison4,000


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 75
Espoirs0


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
1T.J. Fox (A)XX100.003229886768178828779735271808228996903911,499,999$
2Zach HamillXX100.004310988775848367876258736899992499680352500,001$
3Matt FrattinXX100.007036798777798363555267676899992299670351500,001$
4Liam Ohgren (R)X100.007436767077707079637076737550618099670192925,000$
5Brad Lambert (R)XX100.007131777275686881797674727462418199670193925,000$
6Michael Spacek (R)XX100.00633080787675777087686562658063569966N0262500,001$
7Tomas MarcinkoXX100.008348767979798254885357696399991699650352500,001$
8Rudolf Balcers (R)X100.00582383817373797152667162706956529965N0262500,001$
9Charlie Stramel (R)XX100.007843737681666665796670777044398499650183925,000$
10Jim O'BrienXX100.006631908778828247864249766599992099640352500,001$
11David Pastrnak (R)X100.006229798375778057484957666570556599620271510,000$
12Carl DahlstromX100.008652748380828358545553715573705699690291600,000$
13Logan Mailloux (R)X100.007837777281808071637273727342516199680203925,000$
14Mark MiteraX100.004915988978787848544436764599992299670372500,001$
15Tom Willander (R)X100.007235757473666663637166776642428599660183925,000$
16Ludwig ByströmX100.007240828477808145514045696074715199650292600,000$
17David Reinbacher (R)X100.007337757375666665637071747142429199650183925,000$
18Andrew Peeke (R)X100.006327858584757955485343675043446699630252500,001$
Rayé
1Connor Bedard (R) (C)X100.007337817275787881797779727946989699710183925,000$
2Andreas AthanasiouXX100.0084507080797981748767746868827849996902921,100,000$
3Theodor Niederbach (R)XX100.007029778571737285777975727146437299690211925,000$
4Shane Wright (R)X100.007333757277666683797873717355658899680193925,000$
5Brayden McNabbX100.0071408387858583685768726867889227997103222,000,000$
6Andrej Sekera (A)X100.003020988874615955654653875999993399670371950,000$
MOYENNE D’ÉQUIPE100.00663282807775766669636471667070559967
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
1Yaniv Perets (R)100.00808077748383838383808353875999660233650,000$
2Jake Kielly (R)100.00777478858078787878778066794499640273500,000$
3Linus Soderstrom100.00828682838880807070676559575999630281525,000$
Rayé
1Michael Wall100.00778083888691869591847789992999730382550,000$
MOYENNE D’ÉQUIPE100.0079808083848382828177766781489967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St-Louis85758585757595CAN4851,000,000$


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 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
Andreas AthanasiouToronto Marlies (TOR)C/LW291985-10-05 14:39:25No216 Lbs6 ft2NoNoTrade2024-03-01NoNo2Farm Only1,100,000$1,100,000$0$0$No1,100,000$--------No--------
Andrej SekeraToronto Marlies (TOR)D371977-08-06 20:38:02No200 Lbs6 ft0NoNoTrade2024-03-01NoNo1Farm Only950,000$950,000$0$0$No------------------
Andrew PeekeToronto Marlies (TOR)D251989-10-11 15:38:11Yes225 Lbs6 ft9NoNoN/ANoNo2Pro & Farm500,001$500,001$0$0$No500,001$--------No--------
Brad LambertToronto Marlies (TOR)C/RW191995-08-19 12:10:22Yes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Brayden McNabbToronto Marlies (TOR)D321982-08-07 02:38:02No238 Lbs6 ft6NoNoN/ANoNo2Pro & Farm2,000,000$2,000,000$0$0$No2,000,000$--------No--------
Carl DahlstromToronto Marlies (TOR)D291985-10-20 08:40:03No224 Lbs6 ft4NoNoTrade2024-02-25NoNo1Pro & Farm600,000$600,000$0$0$No------------------
Charlie StramelToronto Marlies (TOR)C/RW181996-08-19 12:01:07Yes216 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Connor BedardToronto Marlies (TOR)C181996-08-19 11:57:31Yes185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
David PastrnakToronto Marlies (TOR)RW271987-11-06 05:51:05Yes198 Lbs6 ft0NoNoTrade2024-03-01NoNo1Pro & Farm510,000$510,000$0$0$No------------------
David ReinbacherToronto Marlies (TOR)D181996-08-19 11:58:23Yes187 Lbs6 ft2NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Jake KiellyToronto Marlies (TOR)G271987-08-17 05:13:30Yes201 Lbs6 ft2NoNoN/ANoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Jim O'BrienToronto Marlies (TOR)C/RW351979-08-06 08:38:02No212 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,001$500,001$0$0$No500,001$--------No--------
Liam OhgrenToronto Marlies (TOR)LW191995-09-01 05:49:21Yes207 Lbs6 ft3NoNoTrade2024-01-07NoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Linus SoderstromToronto Marlies (TOR)G281986-10-20 09:01:32No210 Lbs6 ft5NoNoTrade2024-03-01NoNo1Pro & Farm525,000$525,000$0$0$No------------------
Logan MaillouxToronto Marlies (TOR)D201994-09-09 05:45:33Yes212 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Ludwig ByströmToronto Marlies (TOR)D291985-10-05 14:45:48No210 Lbs6 ft0NoNoN/ANoNo2Pro & Farm600,000$600,000$0$0$No600,000$--------No--------
Mark MiteraToronto Marlies (TOR)D371977-08-06 20:38:02No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,001$500,001$0$0$No500,001$--------No--------
Matt FrattinToronto Marlies (TOR)LW/RW351979-10-14 13:10:32No213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,001$500,001$0$0$No------------------
Michael SpacekToronto Marlies (TOR)C/RW261988-09-19 14:35:15Yes203 Lbs6 ft0YesNoFree AgentNoNo22024-03-17Pro & Farm500,001$500,001$0$0$No500,001$--------Yes--------
Michael WallToronto Marlies (TOR)G381976-08-06 14:38:02No214 Lbs6 ft2NoNoTrade2024-02-17NoNo2Pro & Farm550,000$550,000$0$0$No550,000$--------No--------
Rudolf BalcersToronto Marlies (TOR)LW261988-09-19 10:55:34Yes191 Lbs6 ft0YesNoFree AgentNoNo22024-03-17Pro & Farm500,001$500,001$0$0$No500,001$--------Yes--------
Shane WrightToronto Marlies (TOR)C191995-10-01 08:10:40Yes198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
T.J. FoxToronto Marlies (TOR)C/RW391975-08-06 08:38:02No204 Lbs6 ft1NoNoTrade2024-01-31NoNo1Pro & Farm1,499,999$1,499,999$0$0$No------------------
Theodor NiederbachToronto Marlies (TOR)C/RW211993-08-29 14:14:37Yes178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Tom WillanderToronto Marlies (TOR)D181996-08-19 11:59:59Yes179 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Tomas MarcinkoToronto Marlies (TOR)C/RW351979-10-14 10:08:44No218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm500,001$500,001$0$0$No500,001$--------No--------
Yaniv PeretsToronto Marlies (TOR)G231991-08-19 12:06:44Yes181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm650,000$650,000$0$0$No650,000$650,000$-------NoNo-------
Zach HamillToronto Marlies (TOR)C/RW351979-08-06 08:38:02No200 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,001$500,001$0$0$No500,001$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.21204 Lbs6 ft22.07778,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt FrattinT.J. FoxZach Hamill40122
2Liam OhgrenBrad LambertMichael Spacek30122
3Rudolf BalcersCharlie StramelTomas Marcinko20122
4T.J. FoxJim O'BrienDavid Pastrnak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl DahlstromLogan Mailloux40122
2Mark MiteraTom Willander30122
3David ReinbacherLudwig Byström20122
4Andrew PeekeCarl Dahlstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt FrattinT.J. FoxZach Hamill60122
2Liam OhgrenBrad LambertMichael Spacek40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl DahlstromLogan Mailloux60122
2Mark MiteraTom Willander40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1T.J. FoxZach Hamill60122
2Brad LambertMatt Frattin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl DahlstromLogan Mailloux60122
2Mark MiteraTom Willander40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1T.J. Fox60122Carl DahlstromLogan Mailloux60122
2Zach Hamill40122Mark MiteraTom Willander40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1T.J. FoxZach Hamill60122
2Brad LambertMatt Frattin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl DahlstromLogan Mailloux60122
2Mark MiteraTom Willander40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt FrattinT.J. FoxZach HamillCarl DahlstromLogan Mailloux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt FrattinT.J. FoxZach HamillCarl DahlstromLogan Mailloux
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rudolf Balcers, Charlie Stramel, Tomas MarcinkoRudolf Balcers, Charlie StramelTomas Marcinko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Reinbacher, Ludwig Byström, Andrew PeekeDavid ReinbacherLudwig Byström, Andrew Peeke
Tirs de pénalité
T.J. Fox, Zach Hamill, Brad Lambert, Matt Frattin, Liam Ohgren
Gardien
#1 : Yaniv Perets, #2 : Jake Kielly, #3 : Linus Soderstrom
Lignes d’attaque personnalisées en prolongation
T.J. Fox, Zach Hamill, Brad Lambert, Matt Frattin, Liam Ohgren, Michael Spacek, Michael Spacek, Rudolf Balcers, Charlie Stramel, Tomas Marcinko, Jim O'Brien
Lignes de défense personnalisées en prolongation
Carl Dahlstrom, Logan Mailloux, Mark Mitera, Tom Willander, David Reinbacher


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
Capacité50005000
Prix des billets8045
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,362,000$ 4,362,000$ 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$ 14 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