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Toronto Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Bert Levert | Morale : 40 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralBert Levert
EntraîneurGreg Moore
DivisionNorth
ConférenceEastern conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure22
Limite contact 36 / 250
Espoirs25


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
1Josh LeivoXX100.00654084727582856854676869666463080670303700,000$
2Adam BrooksX100.00534087736681826777666772666666081660273700,000$
3Chris WagnerX100.00825581677379886577656669657070052660323700,000$
4Cole Schwindt (R)XX100.00634482726879856674666769645959070660221855,833$
5Semyon Der-ArguchintsevX100.00514185746677836773676567665656047640233700,000$
6Emil Heineman (R)XX100.00624178726777836650656767645353055640222897,500$
7Gabriel Fontaine (R)X100.00584080666776756470656567626666047630263700,000$
8Antonio Stranges (R)XX100.00524186676576846572656566615050073630212846,667$
9Mason Primeau (R)X100.00675078657175756372636366626060055630221825,000$
10Caedan Bankier (R)X100.00654182656675756472646466635050055620213867,500$
11Thomas Schemitsch (R)X100.00644376677377886630666272666363043660273700,000$
12William Villeneuve (R)X100.00614180736777836730666369675050073650212817,778$
13Logan Mailloux (R)X100.00726276677377856630646271655050055650203875,000$
Rayé
MOYENNE D’ÉQUIPE100.0063458169697882666065656864585806065
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
1Garret Sparks100.0080808385808278807779757576047770303700,000$
Rayé
MOYENNE D’ÉQUIPE100.008080838580827880777975757604777
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Moore89856891509088USA393250,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Adam BrooksToronto Marlies (TOR)C2706/05/1996No175 Lbs5 ft10NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Antonio Stranges Toronto Marlies (TOR)C/LW2105/02/2002 13:56:21Yes181 Lbs5 ft10NoNoNo2Pro & Farm846,667$846,667$0$0$No846,667$
Caedan BankierToronto Marlies (TOR)C2126/01/2003 12:23:48Yes192 Lbs6 ft2NoNoNo3Pro & Farm867,500$867,500$0$0$No867,500$867,500$
Chris WagnerToronto Marlies (TOR)C3227/05/1991No198 Lbs6 ft0NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Cole SchwindtToronto Marlies (TOR)C/RW2225/04/2001 14:17:11Yes183 Lbs6 ft2NoNoNo1Pro & Farm855,833$855,833$0$0$NoLien NHL
Emil Heineman Toronto Marlies (TOR)LW/RW2216/11/2001 13:21:41Yes194 Lbs6 ft2NoNoNo2Pro & Farm897,500$897,500$0$0$No897,500$
Gabriel FontaineToronto Marlies (TOR)C2630/04/1997Yes194 Lbs6 ft1NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Garret SparksToronto Marlies (TOR)G3028/06/1993No210 Lbs6 ft3NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Josh LeivoToronto Marlies (TOR)LW/RW3026/05/1993No210 Lbs6 ft2NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Logan MaillouxToronto Marlies (TOR)D2015/04/2003 11:35:44Yes212 Lbs6 ft3NoNoNo3Pro & Farm875,000$875,000$0$0$No875,000$875,000$
Mason PrimeauToronto Marlies (TOR)C2228/07/2001 13:41:55Yes203 Lbs6 ft5NoNoNo1Pro & Farm825,000$825,000$0$0$NoLien NHL
Semyon Der-ArguchintsevToronto Marlies (TOR)C2315/09/2000 09:55:08No165 Lbs5 ft10NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien NHL
Thomas SchemitschToronto Marlies (TOR)D2726/10/1996Yes200 Lbs6 ft4NoNoYes3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
William Villeneuve Toronto Marlies (TOR)D2120/03/2002 14:56:23Yes181 Lbs6 ft2NoNoNo2Pro & Farm817,778$817,778$0$0$No817,778$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1424.57193 Lbs6 ft12.50777,520$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Schwindt32122
2Antonio Stranges 30122
325122
413122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
132122
230122
3William Villeneuve 25122
413122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Schwindt51122
2Antonio Stranges 49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
151122
2Cole Schwindt49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15112251122
24912249122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
151122
2Cole Schwindt49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Schwindt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Schwindt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Antonio Stranges , , Antonio Stranges
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, William Villeneuve , William Villeneuve ,
Tirs de pénalité
, , , Cole Schwindt,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , Cole Schwindt, , Antonio Stranges , Antonio Stranges , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,088,528$ 1,088,528$ 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 (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 (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