Connexion

Toronto Marlies
GP: 72 | W: 15 | L: 50 | OTL: 7 | P: 37
GF: 132 | GA: 289 | PP%: 9.90% | PK%: 78.30%
DG: Nick Fournier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Cleveland Monsters
55-16-1, 111pts
3
FINAL
0 Toronto Marlies
15-50-7, 37pts
Team Stats
W2SéquenceL5
25-10-1Fiche domicile11-22-3
30-6-0Fiche domicile4-28-4
8-2-0Derniers 10 matchs3-7-0
2.85Buts par match 1.83
1.13Buts contre par match 4.01
20.53%Pourcentage en avantage numérique9.90%
91.52%Pourcentage en désavantage numérique78.30%
Cleveland Monsters
55-16-1, 111pts
3
FINAL
1 Toronto Marlies
15-50-7, 37pts
Team Stats
W2SéquenceL5
25-10-1Fiche domicile11-22-3
30-6-0Fiche domicile4-28-4
8-2-0Derniers 10 matchs3-7-0
2.85Buts par match 1.83
1.13Buts contre par match 4.01
20.53%Pourcentage en avantage numérique9.90%
91.52%Pourcentage en désavantage numérique78.30%
Meneurs d'équipe
Buts
Jacob Perreault
34
Passes
Jacob Perreault
7
Points
Jacob Perreault
41
Plus/Moins
Jacob Perreault
5

Statistiques d’équipe
Buts pour
132
1.83 GFG
Tirs pour
1647
22.88 Avg
Pourcentage en avantage numérique
9.9%
10 GF
Début de zone offensive
31.3%
Buts contre
289
4.01 GAA
Tirs contre
2811
39.04 Avg
Pourcentage en désavantage numérique
78.3%%
23 GA
Début de la zone défensive
44.7%
Informations de l'équipe

Directeur généralNick Fournier
EntraîneurToronto
DivisionNORTHEAST
ConférenceConference 1
CapitaineCody Bass
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,823
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure18
Limite contact 29 / 250
Espoirs40


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
1Wayne SimmondsXX100.0083856163777376616562575559887635420N03541,999,999$
2Joseph BlandisiX100.0062407162718079617063605962697140470N0294999,999$
3Dylan SikuraXX100.00573593636689856263645861606870414100281600,000$
4Jonathan DahlenX100.00403540403580904020404040302525114700253750,000$
5Jacob Perreault (R)X100.00603971597177795857555659556163804600212925,000$
6Logan Hutsko (R)X100.00583787616782816066635756596466625000242892,500$
7Filip Cederqvist (R)X100.00744082568377695460565758566365554600232850,000$
8Josh Doan (R)X100.00653695597487615861575956596163765000211925,000$
Rayé
1Joey Keane (R)X100.00403540403580904020404040302525114300241750,000$
MOYENNE D’ÉQUIPE100.0060427156648179555456545452585846460
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
1Kevin Poulin100.0054856582545959606050697387994700334750,000$
2Landon Bow100.0045908050454545454545502525115000282700,000$
Rayé
MOYENNE D’ÉQUIPE100.005088736650525253534860495655490
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Toronto30303030303011CAN43140,000$


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
1Jacob PerreaultToronto Marlies (TOR)RW2734741513595511925713817.71%2955320.4860615210000482269.23%23400051.4811001100
Statistiques d’équipe totales ou en moyenne2734741513595511925713817.71%2955320.4860615210000482269.23%23400051.4811001100
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
Dylan SikuraToronto Marlies (TOR)C/LW286/1/1995No170 Lbs5 ft11NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------Lien
Filip CederqvistToronto Marlies (TOR)LW238/23/2000Yes196 Lbs6 ft3NoNoN/ANoNo2Pro & Farm850,000$0$0$No850,000$--------No--------Lien
Jacob PerreaultToronto Marlies (TOR)RW214/15/2002Yes192 Lbs5 ft11NoNoTrade1/2/2024NoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Joey KeaneToronto Marlies (TOR)D247/2/1999Yes187 Lbs6 ft0NoNoAssign ManuallyNoNo13/23/2024Pro & Farm750,000$0$0$No------------------Lien
Jonathan DahlenToronto Marlies (TOR)LW2512/20/1997No180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Joseph BlandisiToronto Marlies (TOR)LW297/18/1994No184 Lbs6 ft0YesNoN/ANoNo4Pro & Farm999,999$0$0$No999,999$999,999$999,999$------YesYesYes------Lien
Josh DoanToronto Marlies (TOR)RW212/1/2002Yes183 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Kevin PoulinToronto Marlies (TOR)G334/12/1990 11:51:03 AMNo206 Lbs6 ft2NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Landon BowToronto Marlies (TOR)G288/24/1995No220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Logan HutskoToronto Marlies (TOR)RW241/11/1999Yes172 Lbs5 ft11NoNoN/ANoNo2Pro & Farm892,500$0$0$No892,500$--------No--------Lien
Wayne SimmondsToronto Marlies (TOR)LW/RW357/27/1988No184 Lbs6 ft2YesNoN/ANoNo4Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$1,999,999$------YesYesYes------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1126.45189 Lbs6 ft12.36922,045$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
230122
322122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
230122
322122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Belleville Senators1037000002533-8532000001715250500000818-1060.30025507510514134737650255056556406107302551000.00%16381.25%0557137040.66%712195336.46%387104836.93%10627262551499760300
2Charlotte Checkers40400000326-2320200000212-1020200000114-1300.00036900514134756502550565561544510536116.67%6266.67%0557137040.66%712195336.46%387104836.93%10627262551499760300
3Cleveland Monsters80800000630-2440400000415-1140400000215-1300.0006111710514134782502550565562296929852015.00%11372.73%0557137040.66%712195336.46%387104836.93%10627262551499760300
4Grand Rapids Griffins40400000020-2020200000013-132020000007-700.0000000051413473050255056556192501649500.00%8275.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
5Hartford Wolf Pack20000110880100000105411000010034-130.7508142200514134777502550565568637656200.00%3166.67%0557137040.66%712195336.46%387104836.93%10627262551499760300
6Hershey Bears200010018801000000134-11000100054130.7508162400514134793502550565567427457300.00%20100.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
7Laval Rocket814000121822-4402000111014-44120000188060.3751834520151413471575025505655626285341337114.29%10280.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
8LeHigh Valley Phantoms22000000853110000004311100000042241.0008152300514134773502550565566820645000%3166.67%0557137040.66%712195336.46%387104836.93%10627262551499760300
9Manitoba Moose4100101118162210010009722000001199070.8751834520051413472015025505655619341612322100.00%30100.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
10Milwaukee Admirals2020000058-31010000035-21010000023-100.0005101510514134748502550565561051866222100.00%30100.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
11Providence Bruins2110000034-1110000002111010000013-220.50036900514134722502550565566715418500.00%20100.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
12Rochester Americans60500100518-133020010048-430300000110-910.083510150051413471155025505655617470101097114.29%60100.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
13Springfield Thunderbirds21000100972110000005231000010045-130.7509182700514134797502550565569139666100.00%3166.67%0557137040.66%712195336.46%387104836.93%10627262551499760300
14Syracuse Crunch80800000947-3840400000527-2240400000420-1600.00091827005141347985025505655637699221081715.88%11463.64%0557137040.66%712195336.46%387104836.93%10627262551499760300
15Utica Comets60500010628-2230200010314-1130300000314-1120.167610160051413479650255056556249893391700.00%15286.67%0557137040.66%712195336.46%387104836.93%10627262551499760300
16Wilkes-Barre/Scranton Penguins2020000019-81010000016-51010000003-300.000123005141347265025505655685228257114.29%4250.00%0557137040.66%712195336.46%387104836.93%10627262551499760300
Total7295002344132289-157367220113277150-73362280121255139-84370.25713225438631514134716475025505655628118332301335101109.90%1062378.30%0557137040.66%712195336.46%387104836.93%10627262551499760300
_Since Last GM Reset7295002344132289-157367220113277150-73362280121255139-84370.25713225438631514134716475025505655628118332301335101109.90%1062378.30%0557137040.66%712195336.46%387104836.93%10627262551499760300
_Vs Conference5683602244112224-112286150113265115-50282210111247109-62340.304112215327115141347139050255056556219465717310737379.59%811779.01%0557137040.66%712195336.46%387104836.93%10627262551499760300
_Vs Division22517001123788-511146001112046-2611111000011742-25150.341376810510514134744750255056556791264863593925.13%38976.32%0557137040.66%712195336.46%387104836.93%10627262551499760300

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7237L513225438616472811833230133531
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
729502344132289
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36722113277150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36228121255139
Derniers 10 matchs
WLOTWOTL SOWSOL
270010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
101109.90%1062378.30%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
502550565565141347
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
557137040.66%712195336.46%387104836.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10627262551499760300


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
514Rochester Americans3Toronto Marlies2BLXSommaire du match
628Utica Comets2Toronto Marlies3BWXXSommaire du match
1244Charlotte Checkers5Toronto Marlies2BLSommaire du match
1361Charlotte Checkers7Toronto Marlies0BLSommaire du match
1564Milwaukee Admirals5Toronto Marlies3BLSommaire du match
1878Toronto Marlies1Belleville Senators2ALSommaire du match
1991Toronto Marlies1Belleville Senators2ALSommaire du match
25115Toronto Marlies4Laval Rocket0AWSommaire du match
26130Toronto Marlies1Laval Rocket2ALXXSommaire du match
30144Toronto Marlies2Milwaukee Admirals3ALSommaire du match
32154Toronto Marlies0Grand Rapids Griffins3ALSommaire du match
33167Toronto Marlies0Grand Rapids Griffins4ALSommaire du match
40205Manitoba Moose3Toronto Marlies4BWXSommaire du match
41219Manitoba Moose4Toronto Marlies5BWSommaire du match
43224LeHigh Valley Phantoms3Toronto Marlies4BWSommaire du match
46240Toronto Marlies1Cleveland Monsters4ALSommaire du match
48266Cleveland Monsters5Toronto Marlies3BLSommaire du match
53278Toronto Marlies0Syracuse Crunch6ALSommaire du match
54290Syracuse Crunch8Toronto Marlies0BLSommaire du match
57309Grand Rapids Griffins9Toronto Marlies0BLSommaire du match
62346Grand Rapids Griffins4Toronto Marlies0BLSommaire du match
67363Toronto Marlies1Providence Bruins3ALSommaire du match
69381Toronto Marlies3Hartford Wolf Pack4ALXSommaire du match
72390Providence Bruins1Toronto Marlies2BWSommaire du match
74405Toronto Marlies3Belleville Senators5ALSommaire du match
78425Belleville Senators3Toronto Marlies4BWSommaire du match
79428Toronto Marlies1Cleveland Monsters5ALSommaire du match
82451Belleville Senators4Toronto Marlies5BWSommaire du match
86471Cleveland Monsters4Toronto Marlies0BLSommaire du match
89488Syracuse Crunch7Toronto Marlies1BLSommaire du match
90508Syracuse Crunch6Toronto Marlies1BLSommaire du match
95519Belleville Senators4Toronto Marlies3BLSommaire du match
97545Toronto Marlies1Belleville Senators4ALSommaire du match
103575Toronto Marlies1Charlotte Checkers5ALSommaire du match
104589Toronto Marlies0Charlotte Checkers9ALSommaire du match
107599Toronto Marlies0Cleveland Monsters2ALSommaire du match
110629Toronto Marlies4LeHigh Valley Phantoms2AWSommaire du match
111640Toronto Marlies5Hershey Bears4AWXSommaire du match
114648Toronto Marlies0Wilkes-Barre/Scranton Penguins3ALSommaire du match
120657Toronto Marlies1Utica Comets6ALSommaire du match
121670Toronto Marlies1Utica Comets3ALSommaire du match
123685Laval Rocket2Toronto Marlies3BWXXSommaire du match
124697Laval Rocket4Toronto Marlies3BLXXSommaire du match
128717Wilkes-Barre/Scranton Penguins6Toronto Marlies1BLSommaire du match
130726Toronto Marlies2Belleville Senators5ALSommaire du match
131735Hershey Bears4Toronto Marlies3BLXXSommaire du match
133755Rochester Americans3Toronto Marlies2BLSommaire du match
137772Toronto Marlies2Laval Rocket3ALSommaire du match
138782Toronto Marlies1Laval Rocket3ALSommaire du match
142808Toronto Marlies0Cleveland Monsters4ALSommaire du match
144817Toronto Marlies1Syracuse Crunch4ALSommaire du match
145831Syracuse Crunch6Toronto Marlies3BLSommaire du match
149850Belleville Senators2Toronto Marlies1BLSommaire du match
151859Toronto Marlies1Utica Comets5ALSommaire du match
152878Toronto Marlies4Springfield Thunderbirds5ALXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158910Toronto Marlies0Rochester Americans3ALSommaire du match
159915Rochester Americans2Toronto Marlies0BLSommaire du match
160931Laval Rocket3Toronto Marlies2BLSommaire du match
165955Toronto Marlies0Rochester Americans3ALSommaire du match
166961Hartford Wolf Pack4Toronto Marlies5BWXXSommaire du match
167978Laval Rocket5Toronto Marlies2BLSommaire du match
170990Toronto Marlies5Manitoba Moose6ALXXSommaire du match
172994Toronto Marlies4Manitoba Moose3AWXXSommaire du match
1771027Springfield Thunderbirds2Toronto Marlies5BWSommaire du match
1801047Utica Comets5Toronto Marlies0BLSommaire du match
1811064Utica Comets7Toronto Marlies0BLSommaire du match
1841070Belleville Senators2Toronto Marlies4BWSommaire du match
1861078Toronto Marlies2Syracuse Crunch8ALSommaire du match
1871093Toronto Marlies1Syracuse Crunch2ALSommaire du match
1911112Toronto Marlies1Rochester Americans4ALSommaire du match
1941130Cleveland Monsters3Toronto Marlies0BLSommaire du match
1951148Cleveland Monsters3Toronto Marlies1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance66,98734,642
Assistance PCT93.04%96.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2823 - 94.10% 93,881$3,379,725$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,090,603$ 1,014,250$ 705,404$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,175$ 1,090,603$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 5,175$ 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