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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: Julien Quesnel | Morale : 40 | Moyenne d’équipe : 61

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJulien Quesnel
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 250
Espoirs31


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
1Logan ShawX100.00764087638587866267646065617378394066N0331750,000$
2Vinni LettieriX100.008133936567836466595662636471733440640311850,000$
3Cedric PareX100.00755374598479825865595857566668474062N0271750,000$
4Michael PezzettaX100.008645596582686562535050555669684140610281850,000$
5Travis BoydX100.00603495677271606550525060587473294061N0321750,000$
6Marc JohnstoneX100.006838775871747856595355545869713640590301750,000$
7Sam StevensX100.00653794577473635659545553586567424059N0261750,000$
8Borya Valis (R)X100.007039795679778254515355575263644540590222972,500$
9Matt CopponiX100.00583785566777705764605255596365494059N0231750,000$
10Landon Sim (R)X100.005547525864716356505259535762644940580222955,000$
11Ryan TverbergX100.006734655070756050525050565063644840560241850,000$
12Reese JohnsonX100.00252525252525252525252525252525254031N0281750,000$
13Henry ThrunX100.006643856983887166307156705165675940680251850,000$
14Matt BenningX100.00723977647882706330655875507371384067N0321750,000$
15Troy StecherX100.0063368966678784633068587050787327406603221,350,000$
16Dakota MermisX100.006738736574836162306161595171722740640321812,500$
17Blake Smith (R)X100.008063565489628353305251584562644240610212962,500$
18John Prokop (R)X100.007340885482626853305152564565674240600251750,000$
Rayé
1Braeden KresslerX100.0057387555638161536154505255626443405602300$
2Cade WebberX100.008953815898637056305452614564666040640251825,000$
3Chas SharpeX100.00734086558265725430535256466365444060N0221750,000$
4Marshall RifaiX100.005037835983756057305050554667683640590281775,000$
5William VilleneuveX100.005735835077886050305050624363645740580242875,000$
MOYENNE D’ÉQUIPE100.00674077587574685644555358516566424060
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
1Dennis Hildeby100.00818278988079818079818064735640710242841,667$
2Artur Akhtyamov100.00756260767473757473757464735840670243900,000$
Rayé
1Vyacheslav Peksa100.0060706680595860595860596369494058N0231750,000$
MOYENNE D’ÉQUIPE100.0072716885717072717072716472544065
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
Artur AkhtyamovToronto Marlies (TOR)G242001-10-31RUSNo176 Lbs6 ft2NoNoAssign ManuallyNoNo32026-04-19FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien / Lien NHL
Blake SmithToronto Marlies (TOR)D212004-10-05CANYes211 Lbs6 ft4NoNoDraftNoNo22026-05-25FalseFalsePro & Farm962,500$0$0$No962,500$--------962,500$--------No--------Lien / Lien NHL
Borya ValisToronto Marlies (TOR)RW222004-04-08USAYes195 Lbs6 ft2NoNoDraftNoNo22026-05-25FalseFalsePro & Farm972,500$0$0$No972,500$--------972,500$--------No--------Lien / Lien NHL
Braeden KresslerToronto Marlies (TOR)C232003-01-05CANNo169 Lbs5 ft9NoNoAssign ManuallyNoNo02026-04-19FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Cade WebberToronto Marlies (TOR)D252001-01-05USANo212 Lbs6 ft7NoNoAssign ManuallyNoNo12026-04-19FalseFalsePro & Farm825,000$0$0$No---------------------------Lien / Lien NHL
Cedric PareToronto Marlies (TOR)C271999-01-24CANNo205 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Chas SharpeToronto Marlies (TOR)D222003-11-28CANNo195 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Dakota MermisToronto Marlies (TOR)D321994-01-05USANo197 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm812,500$0$0$No---------------------------Lien / Lien NHL
Dennis HildebyToronto Marlies (TOR)G242001-08-19SWENo231 Lbs6 ft7NoNoAssign ManuallyNoNo22026-04-19FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Lien / Lien NHL
Henry ThrunToronto Marlies (TOR)D252001-03-12USANo211 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
John ProkopToronto Marlies (TOR)D252001-05-13USAYes195 Lbs6 ft3NoNoDraftNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Landon SimToronto Marlies (TOR)RW222004-07-17CANYes166 Lbs5 ft10NoNoDraftNoNo22026-05-25FalseFalsePro & Farm955,000$0$0$No955,000$--------955,000$--------No--------Lien / Lien NHL
Logan ShawToronto Marlies (TOR)RW331992-10-05CANNo208 Lbs6 ft3YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Marc JohnstoneToronto Marlies (TOR)RW301996-06-19USANo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-10FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Marshall RifaiToronto Marlies (TOR)D281998-03-16CANNo211 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Matt BenningToronto Marlies (TOR)D321994-05-25CANNo220 Lbs6 ft1YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Matt CopponiToronto Marlies (TOR)C232003-06-04USANo174 Lbs5 ft11YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Michael PezzettaToronto Marlies (TOR)LW281998-03-13CANNo222 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Reese JohnsonToronto Marlies (TOR)RW281998-07-10CANNo193 Lbs6 ft1YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Ryan TverbergToronto Marlies (TOR)C242002-01-30CANNo187 Lbs5 ft11NoNoAssign ManuallyNoNo12026-07-04FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Sam StevensToronto Marlies (TOR)C262000-04-27CANNo183 Lbs6 ft1YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Travis BoydToronto Marlies (TOR)C321993-09-14USANo190 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Troy StecherToronto Marlies (TOR)D321994-04-07CANNo184 Lbs5 ft10NoNoAssign ManuallyNoNo22026-06-29FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien / Lien NHL
Vinni LettieriToronto Marlies (TOR)C311995-02-06USANo184 Lbs5 ft10NoNoAssign ManuallyNoNo12026-07-03FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Vyacheslav PeksaToronto Marlies (TOR)G232002-08-27RUSNo181 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
William VilleneuveToronto Marlies (TOR)D242002-03-20CANNo183 Lbs6 ft2NoNoAssign ManuallyNoNo22026-07-09FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.38195 Lbs6 ft11.27804,583$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaMarc Johnstone40122
2Cedric PareVinni LettieriBorya Valis30122
3Landon Sim20122
4Cedric PareReese Johnson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunMatt Benning40122
2Dakota Mermis30122
3Blake SmithJohn Prokop20122
4Henry ThrunMatt Benning10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaMarc Johnstone60122
2Cedric PareVinni LettieriBorya Valis40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunMatt Benning60122
2Dakota Mermis40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vinni Lettieri60122
2Cedric Pare40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunMatt Benning60122
2Dakota Mermis40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Henry ThrunMatt Benning60122
2Vinni Lettieri40122Dakota Mermis40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vinni Lettieri60122
2Cedric Pare40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunMatt Benning60122
2Dakota Mermis40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaMarc JohnstoneHenry ThrunMatt Benning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaMarc JohnstoneHenry ThrunMatt Benning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ryan Tverberg, , Ryan Tverberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Smith, John Prokop, Blake SmithJohn Prokop,
Tirs de pénalité
, Vinni Lettieri, , Cedric Pare,
Gardien
#1 : Dennis Hildeby, #2 : Artur Akhtyamov


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
0 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,091,917$ 2,091,917$ 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