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Toronto Marlies
GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 36 | GA: 32 | PP%: 18.18% | PK%: 58.33%
DG: Martin Gratton | Morale : 60 | Moyenne d’équipe : 67
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Centre de jeu
Toronto Marlies
4-3-0, 8pts
2
FINAL
7 Henderson Silver Knights
6-1-0, 12pts
Team Stats
W1SéquenceL1
2-2-0Fiche domicile3-1-0
2-1-0Fiche domicile3-0-0
4-3-0Derniers 10 matchs6-1-0
5.14Buts par match 6.57
4.57Buts contre par match 2.43
18.18%Pourcentage en avantage numérique12.50%
58.33%Pourcentage en désavantage numérique93.33%
Granby Predateurs
3-4-0, 6pts
5
FINAL
6 Toronto Marlies
4-3-0, 8pts
Team Stats
L1SéquenceW1
1-2-0Fiche domicile2-2-0
2-2-0Fiche domicile2-1-0
3-4-0Derniers 10 matchs4-3-0
6.29Buts par match 5.14
5.86Buts contre par match 4.57
25.00%Pourcentage en avantage numérique18.18%
72.73%Pourcentage en désavantage numérique58.33%
Meneurs d'équipe
Buts
Matthew Phillips
13
Passes
Tanner Laczynski
9
Points
Matthew Phillips
21
Plus/Moins
Matthew Phillips
15
Victoires
Chris Driedger
2
Pourcentage d’arrêts
Chris Driedger
0.921

Statistiques d’équipe
Buts pour
36
5.14 GFG
Tirs pour
374
53.43 Avg
Pourcentage en avantage numérique
18.2%
2 GF
Début de zone offensive
36.1%
Buts contre
32
4.57 GAA
Tirs contre
426
60.86 Avg
Pourcentage en désavantage numérique
58.3%%
5 GA
Début de la zone défensive
44.4%
Informations de l'équipe

Directeur généralMartin Gratton
EntraîneurSheldon Keefe
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance0
Billets de saison900


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 60
Espoirs86


Historique d'équipe

Saison actuelle4-3-0 (8PTS)
Historique0-0-0
Coupe Stanley0


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
1A.J. Greer0X100.00687077408671816040606067637872060730261775,000$
2Cole Guttman0X100.00575483447774795865565768606168060690241775,000$
3Matthew Phillips0X95.00555685407572796144596162647469060690252925,000$
4Alex Limoges0X100.00485379396873736145606259656755060680261775,000$
5Nick Abruzzese0X100.00505478397075756145635958626555060680241775,000$
6Carson Meyer0X100.00716782498072785241525165546264060670261775,000$
7Emilio Pettersen0X100.00495775416974745945605858616453060660231775,000$
8Tyler Madden0X100.00505379427075755845575958626553060660231750,000$
9Roby Jarventie0X100.00535781448070765752555761606064060660214875,000$
10Tanner Laczynski0XXX99.00455577416570706045605959626754060660261825,000$
11Nikita Nesterenko0X100.00505285487979785540525360566165060650222775,000$
12Sammy Walker0X100.00535285478075765440535360566163060650241775,000$
13Gabriel Fortier0X100.00485179436873735764565858616452060640231775,000$
14Calvin de Haan0X100.006562823882748363406559746283760607903231,500,000$
15Nick Perbix0X100.00595583348475846740716271656174060790252975,000$
16Marc Del Gaizo (R)0X100.00605782458178815742585364566065060730231750,000$
17Jack Thompson (R)0X100.00565583478176805542535360566063060710212775,000$
18Jacob Moverare0X100.00535883488668755341515366566264060700251775,000$
19Dysin Mayo0X100.00496372446974745645585458576851060670274875,000$
20Wyatt Kalynuk0X100.00496073456974745545565458576750060670261775,000$
21Ronan Seeley0X100.00475379476772725445555258556249060650212775,000$
Rayé
1Henri Nikkanen0X100.00475379476772725463525558586349060620222775,000$
2Brett Harrison (R)0XX100.00455179466570705445545457576149060610203775,000$
3Aleksandr Kisakov0XX100.00425478476267675445535458576249060600202775,000$
4Antti Saarela (R)0XXX100.00415577496166665145485458576347060580222775,000$
5Ryan Francis (R)0XXX100.00395379515964645045485158546345060570213775,000$
6Ben Steeves0XXX100.00376180515762625045485158546245060560211775,000$
7Lleyton Roed0XXX100.00365580515661615045485157546245060560211775,000$
8Riley Stillman0X100.004561734965707052455152585566470606302522,300,000$
9Peter DiLiberatore0X100.00415875486166665245535158546447060620231775,000$
MOYENNE D’ÉQUIPE99.8050577945717174564656556158655706066
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
1Vitek Vanecek0100.0068838585916973737580846172060770274925,000$
2Chris Driedger0100.00747179918770747470817278760607702924,000,000$
3Joel Blomqvist (R)0100.0074727925307373687844666072060680213775,000$
Rayé
MOYENNE D’ÉQUIPE100.007275816769717372746874667306074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe70708570707070CAN423250,000$


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
1Matthew PhillipsToronto Marlies (TOR)C71382115100241679194816.46%1014020.0201100000001156.36%5500033.0000000400
2Tanner LaczynskiToronto Marlies (TOR)C/LW/RW7891712007566134112.12%1210915.6210110000000171.43%700003.1100000030
3Cole GuttmanToronto Marlies (TOR)C752730010844182811.36%47811.2100000000003075.00%800001.7800000002
4Marc Del GaizoToronto Marlies (TOR)D71672603472412174.17%1311917.000110200000000%000001.1800000001
5Tyler MaddenToronto Marlies (TOR)C7257300963112196.45%17811.2100000000000071.43%700001.7800000010
6Jack ThompsonToronto Marlies (TOR)D71340007560516.67%67210.360000000000000%000001.1000000000
7Ronan SeeleyToronto Marlies (TOR)D7022000617450%87210.360000000000000%000000.5500000000
Statistiques d’équipe totales ou en moyenne493035653516097482577816311.67%5467013.6812313000004261.04%7700031.9400000443
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
1Chris DriedgerToronto Marlies (TOR)42200.9213.2524000131650000040100
Statistiques d’équipe totales ou en moyenne42200.9213.252400013165000040100


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 Forcer 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
A.J. GreerToronto Marlies (TOR)LW261996-12-14No209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Aleksandr KisakovToronto Marlies (TOR)LW/RW202002-11-01No164 Lbs5 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Alex LimogesToronto Marlies (TOR)C261997-09-16No207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Antti SaarelaToronto Marlies (TOR)C/LW/RW222001-06-27Yes183 Lbs5 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Ben SteevesToronto Marlies (TOR)C/LW/RW212002-05-10No170 Lbs5 ft11NoNoFree AgentNoNo12024-09-04FalseFalsePro & Farm775,000$0$0$No---------------------------
Brett HarrisonToronto Marlies (TOR)C/LW202003-06-07Yes188 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Calvin de HaanToronto Marlies (TOR)D321991-05-09No192 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien NHL
Carson MeyerToronto Marlies (TOR)RW261997-08-18No184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Chris DriedgerToronto Marlies (TOR)G291994-05-18No208 Lbs6 ft4NoNoTrade2024-09-09NoNo2FalseFalsePro & Farm4,000,000$0$0$No4,000,000$--------4,000,000$--------No--------
Cole GuttmanToronto Marlies (TOR)C241999-04-06No167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Dysin MayoToronto Marlies (TOR)D271996-08-17No189 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm875,000$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien NHL
Emilio PettersenToronto Marlies (TOR)C232000-04-03No180 Lbs5 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Gabriel FortierToronto Marlies (TOR)LW232000-02-06No181 Lbs5 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Henri NikkanenToronto Marlies (TOR)C222001-04-28No215 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Jack ThompsonToronto Marlies (TOR)D212002-03-19Yes189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Jacob MoverareToronto Marlies (TOR)D251998-08-31No210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Joel BlomqvistToronto Marlies (TOR)G212002-01-10Yes187 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Lleyton RoedToronto Marlies (TOR)C/LW/RW212002-08-08No179 Lbs6 ft0NoNoFree AgentNoNo12024-09-04FalseFalsePro & Farm775,000$0$0$No---------------------------
Marc Del GaizoToronto Marlies (TOR)D231999-10-11Yes188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Matthew PhillipsToronto Marlies (TOR)C251998-04-06No160 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien NHL
Nick AbruzzeseToronto Marlies (TOR)C241999-06-04No180 Lbs5 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Nick PerbixToronto Marlies (TOR)D251998-06-15No202 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------
Nikita NesterenkoToronto Marlies (TOR)C222001-09-10No183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Peter DiLiberatoreToronto Marlies (TOR)D232000-03-31No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Riley StillmanToronto Marlies (TOR)D251998-03-09No196 Lbs6 ft1NoNoTrade2024-07-26NoNo2FalseFalsePro & Farm2,300,000$0$0$No2,300,000$--------2,300,000$--------No--------Lien NHL
Roby JarventieToronto Marlies (TOR)LW212002-08-08No184 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm875,000$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien NHL
Ronan SeeleyToronto Marlies (TOR)D212002-08-02No192 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Ryan FrancisToronto Marlies (TOR)C/LW/RW212001-12-02Yes180 Lbs5 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Sammy WalkerToronto Marlies (TOR)C241999-06-07No180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Tanner LaczynskiToronto Marlies (TOR)C/LW/RW261997-06-01No190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien NHL
Tyler MaddenToronto Marlies (TOR)C231999-11-09No170 Lbs5 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Vitek VanecekToronto Marlies (TOR)G271996-01-09No184 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien NHL
Wyatt KalynukToronto Marlies (TOR)D261997-04-14No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3323.79187 Lbs5 ft101.82962,121$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Tanner LaczynskiMatthew Phillips30122
3Tyler MaddenCole Guttman20122
4Matthew Phillips10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Marc Del Gaizo30122
3Jack ThompsonRonan Seeley20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Tanner LaczynskiMatthew Phillips40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Marc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Marc Del Gaizo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Marc Del Gaizo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Marc Del Gaizo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Tyler Madden, Cole Guttman, Tyler MaddenCole Guttman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jack Thompson, Ronan SeeleyJack Thompson, Ronan Seeley
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Matthew Phillips, Matthew Phillips, Tyler Madden, Cole Guttman, , Tanner Laczynski
Lignes de défense personnalisées en prolongation
, , , Marc Del Gaizo, Jack Thompson


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 Senators11000000514110000005140000000000021.0005101500121410077911351480311222711100.00%10100.00%09124836.69%9830532.13%5313439.55%154112188447736
2Chicago Wolves110000001211100000000000110000001211121.0001224360012141001199113514804110042000%000%09124836.69%9830532.13%5313439.55%154112188447736
3Colorado Eagles10100000011-1110100000011-110000000000000.000000001214100279113514808423612300.00%440.00%09124836.69%9830532.13%5313439.55%154112188447736
4Granby Predateurs11000000651110000006510000000000021.0006915001214100429113514807812422100.00%20100.00%09124836.69%9830532.13%5313439.55%154112188447736
5Henderson Silver Knights1010000027-5000000000001010000027-500.000235001214100209113514809621623400.00%3166.67%09124836.69%9830532.13%5313439.55%154112188447736
6Iowa Wild1010000034-11010000034-10000000000000.00036900121410027911351480702642211100.00%20100.00%09124836.69%9830532.13%5313439.55%154112188447736
7Texas Stars11000000835000000000001100000083521.00081119001214100629113514802612030100.00%000%09124836.69%9830532.13%5313439.55%154112188447736
Total7430000036324422000001421-73210000022111180.5713663990012141003749113514804261162217811218.18%12558.33%09124836.69%9830532.13%5313439.55%154112188447736
_Since Last GM Reset7430000036324422000001421-73210000022111180.5713663990012141003749113514804261162217811218.18%12558.33%09124836.69%9830532.13%5313439.55%154112188447736
_Vs Conference220000001721511000000514110000001211141.000173451001214100196911351480722226911100.00%10100.00%09124836.69%9830532.13%5313439.55%154112188447736
_Vs Division410000001723-631000000920-111000000083520.2501726430012141001589113514802587314866116.67%8450.00%09124836.69%9830532.13%5313439.55%154112188447736

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
78W13663993744261162217800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
74300003632
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001421
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100002211
Derniers 10 matchs
WLOTWOTL SOWSOL
430000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11218.18%12558.33%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
9113514801214100
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
9124836.69%9830532.13%5313439.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
154112188447736


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
2 - 2024-09-029Belleville Senators1Toronto Marlies5WSommaire du match
4 - 2024-09-0425Toronto Marlies8Texas Stars3WSommaire du match
6 - 2024-09-0641Iowa Wild4Toronto Marlies3LSommaire du match
8 - 2024-09-0857Toronto Marlies12Chicago Wolves1WSommaire du match
10 - 2024-09-1073Colorado Eagles11Toronto Marlies0LSommaire du match
12 - 2024-09-1289Toronto Marlies2Henderson Silver Knights7LSommaire du match
14 - 2024-09-14111Granby Predateurs5Toronto Marlies6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets9045
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,175,000$ 3,175,000$ 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$ 1 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