Connexion

Toronto Marlies
GP: 25 | W: 7 | L: 14 | OTL: 4 | P: 18
GF: 52 | GA: 101 | PP%: 11.76% | PK%: 84.00%
DG: Nick Fournier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #404 vs Rockford IceHogs
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Toronto Marlies
7-14-4, 18pts
0
FINAL
4 Abbotsford Canucks
20-5-0, 40pts
Team Stats
SOW1SéquenceW4
4-5-3Fiche domicile10-2-0
3-9-1Fiche domicile10-3-0
3-5-2Derniers 10 matchs8-2-0
2.08Buts par match 3.40
4.04Buts contre par match 1.00
11.76%Pourcentage en avantage numérique12.96%
84.00%Pourcentage en désavantage numérique88.78%
Toronto Marlies
7-14-4, 18pts
4
FINAL
3 Manitoba Moose
8-14-2, 18pts
Team Stats
SOW1SéquenceSOL1
4-5-3Fiche domicile5-7-1
3-9-1Fiche domicile3-7-1
3-5-2Derniers 10 matchs5-4-1
2.08Buts par match 2.33
4.04Buts contre par match 4.04
11.76%Pourcentage en avantage numérique12.90%
84.00%Pourcentage en désavantage numérique84.85%
Toronto Marlies
7-14-4, 18pts
Jour 60
Rockford IceHogs
6-17-2, 14pts
Statistiques d’équipe
SOW1SéquenceSOW1
4-5-3Fiche domicile5-6-1
3-9-1Fiche visiteur1-11-1
3-5-210 derniers matchs4-6-0
2.08Buts par match 1.84
4.04Buts contre par match 1.84
11.76%Pourcentage en avantage numérique4.00%
84.00%Pourcentage en désavantage numérique76.67%
Calgary Wranglers
3-18-2, 8pts
Jour 61
Toronto Marlies
7-14-4, 18pts
Statistiques d’équipe
L6SéquenceSOW1
1-12-0Fiche domicile4-5-3
2-6-2Fiche visiteur3-9-1
2-8-010 derniers matchs3-5-2
2.00Buts par match 2.08
4.04Buts contre par match 2.08
3.70%Pourcentage en avantage numérique11.76%
64.71%Pourcentage en désavantage numérique84.00%
Springfield Thunderbirds
22-0-1, 45pts
Jour 64
Toronto Marlies
7-14-4, 18pts
Statistiques d’équipe
W1SéquenceSOW1
13-0-0Fiche domicile4-5-3
9-0-1Fiche visiteur3-9-1
9-0-110 derniers matchs3-5-2
3.48Buts par match 2.08
0.83Buts contre par match 2.08
21.15%Pourcentage en avantage numérique11.76%
91.67%Pourcentage en désavantage numérique84.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
52
2.08 GFG
Tirs pour
623
24.92 Avg
Pourcentage en avantage numérique
11.8%
6 GF
Début de zone offensive
31.4%
Buts contre
101
4.04 GAA
Tirs contre
1090
43.60 Avg
Pourcentage en désavantage numérique
84.0%%
4 GA
Début de la zone défensive
44.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,899
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure21
Limite contact 35 / 250
Espoirs35


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 SimmondsXX100.004035406335809040204040403088761150003631,999,999$
2Derek StepanXX100.00403540643580904020404040308473114700343750,000$
3Jonathan DahlenX100.00403540403580904020404040302525115000262750,000$
4Jacob Perreault (R)X100.00624268607176775960585756596264805000221925,000$
5Wade AllisonX100.00786077628184825957566163596869614100262925,000$
6Logan Hutsko (R)X100.00403540613580904020404040306466115000251892,500$
7Filip Cederqvist (R)X100.00744084588378805754565659556466535000241850,000$
8Josh Doan (R)X100.00643788697486766760667263696268764300221925,000$
9Logan Morrison (R)X100.00613695637082726271605866636264535000221870,000$
10Stephen Halliday (R)X100.00773994628671605874655061546364625000221950,000$
11Viktor Neuchev (R)X100.00643795587379705662595755586163665000201870,000$
12Danny DeKeyserX100.00403540623580904020404040307672114700343999,999$
Rayé
MOYENNE D’ÉQUIPE100.0057396760598081524552515247656442480
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 Poulin100.0040908050404040404040407387115000343750,000$
2Landon Bow100.0040908050404040404040402525115000291700,000$
Rayé
MOYENNE D’ÉQUIPE100.004090805040404040404040495611500
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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Danny DeKeyserToronto Marlies (TOR)D341990-03-07USANo183 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm999,999$701,030$0$0$No999,999$999,999$-------600,000$600,000$-------NoNo-------Lien
Derek StepanToronto Marlies (TOR)C/RW341990-06-18USANo196 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Filip CederqvistToronto Marlies (TOR)LW242000-08-23SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$595,876$0$0$No---------------------------Lien
Jacob PerreaultToronto Marlies (TOR)RW222002-04-15USAYes192 Lbs5 ft11NoNoTrade2024-01-02NoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Jonathan DahlenToronto Marlies (TOR)LW261997-12-20SWENo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$525,773$0$0$No750,000$--------702,020$--------No--------Lien
Josh DoanToronto Marlies (TOR)RW222002-02-01USAYes183 Lbs6 ft1NoNoN/ANoNo12024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Kevin PoulinToronto Marlies (TOR)G341990-04-12CANNo206 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Landon BowToronto Marlies (TOR)G291995-08-24CANNo220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Logan HutskoToronto Marlies (TOR)RW251999-01-11USAYes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm892,500$625,670$0$0$No---------------------------Lien
Logan MorrisonToronto Marlies (TOR)C222002-07-09CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm870,000$609,897$0$0$No---------------------------Lien
Stephen HallidayToronto Marlies (TOR)C222002-07-02CANYes213 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm950,000$665,979$0$0$No---------------------------Lien
Viktor NeuchevToronto Marlies (TOR)LW202003-10-25RUSYes165 Lbs6 ft2NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm870,000$609,897$0$0$No---------------------------Lien
Wade AllisonToronto Marlies (TOR)RW261997-10-14CANNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$648,454$0$0$No925,000$--------925,000$--------No--------Lien
Wayne SimmondsToronto Marlies (TOR)LW/RW361988-07-27CANNo184 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,999,999$1,402,061$0$0$No1,999,999$1,999,999$-------600,000$600,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1426.86191 Lbs6 ft11.71939,821$



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
1Abbotsford Canucks2020000019-81010000015-41010000004-400.00012300221511620197221194257321227800.00%110.00%019449239.43%27270438.64%14437138.81%398271851177277114
2Bakersfield Condors1000000145-1000000000001000000145-110.500481200221511634197221194256023027100.00%000%019449239.43%27270438.64%14437138.81%398271851177277114
3Belleville Senators1000010034-11000010034-10000000000010.50036900221511627197221194255914231200.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
4Bridgeport Islanders10000010541000000000001000001054121.00058130022151163619722119425451844211100.00%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
5Calgary Wranglers10001000541100010005410000000000021.000510150022151164519722119425561302411100.00%000%019449239.43%27270438.64%14437138.81%398271851177277114
6Charlotte Checkers11000000321110000003210000000000021.00036900221511639197221194252711431300.00%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
7Chicago Wolves1000000123-11000000123-10000000000010.500246002215116919722119425408213300.00%110.00%019449239.43%27270438.64%14437138.81%398271851177277114
8Coachella Valley Firebirds1010000016-5000000000001010000016-500.00012300221511612197221194254510414000%20100.00%119449239.43%27270438.64%14437138.81%398271851177277114
9Colorado Eagles2020000038-5000000000002020000038-500.000369002215116501972211942595350375120.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
10Hershey Bears11000000422110000004220000000000021.000481200221511638197221194253710228100.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
11Laval Rocket2010100025-3000000000002010100025-320.50024600221511648197221194255319441200.00%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
12LeHigh Valley Phantoms1000010023-11000010023-10000000000010.50024600221511624197221194256310233100.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
13Manitoba Moose10000010431000000000001000001043121.000461000221511658197221194256215225000%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
14Milwaukee Admirals1010000024-2000000000001010000024-200.0002460022151162819722119425459410000%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
15Providence Bruins30300000614-81010000045-12020000029-700.00061117002215116801972211942514837861400.00%30100.00%019449239.43%27270438.64%14437138.81%398271851177277114
16Rochester Americans20200000111-1020200000111-100000000000000.000123002215116211972211942556268205120.00%4250.00%019449239.43%27270438.64%14437138.81%398271851177277114
17Rockford IceHogs11000000413110000004130000000000021.000481200221511636197221194254092344250.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
18Utica Comets20200000013-131010000005-51010000008-800.000000002215116181972211942586275281000.00%000%019449239.43%27270438.64%14437138.81%398271851177277114
Total253140222252101-491235012012945-161309010212356-33180.36052991510022151166231972211942510903155552651611.76%25484.00%119449239.43%27270438.64%14437138.81%398271851177277114
_Since Last GM Reset253140222252101-491235012012945-161309010212356-33180.36052991510022151166231972211942510903155552651611.76%25484.00%119449239.43%27270438.64%14437138.81%398271851177277114
_Vs Conference1628012213264-32924002011935-16704010201329-16130.40632599100221511639819722119425676195433533226.25%18383.33%019449239.43%27270438.64%14437138.81%398271851177277114
_Vs Division606011001325-1240300100813-520301000512-730.2501324370022151161251972211942527173151441616.25%5180.00%019449239.43%27270438.64%14437138.81%398271851177277114

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2518SOW1529915162310903155552600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25314222252101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
123512012945
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
130910212356
Derniers 10 matchs
WLOTWOTL SOWSOL
250111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
51611.76%25484.00%1
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
197221194252215116
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
19449239.43%27270438.64%14437138.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
398271851177277114


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
29Providence Bruins5Toronto Marlies4LSommaire du match
624Toronto Marlies4Bakersfield Condors5LXXSommaire du match
733Toronto Marlies2Colorado Eagles4LSommaire du match
1054Belleville Senators4Toronto Marlies3LXSommaire du match
1266Toronto Marlies1Providence Bruins5LSommaire du match
1483Rochester Americans5Toronto Marlies0LSommaire du match
1591Toronto Marlies1Providence Bruins4LSommaire du match
17108Toronto Marlies1Colorado Eagles4LSommaire du match
20123Calgary Wranglers4Toronto Marlies5WXSommaire du match
23145Toronto Marlies5Bridgeport Islanders4WXXSommaire du match
24155Rockford IceHogs1Toronto Marlies4WSommaire du match
26170Toronto Marlies2Milwaukee Admirals4LSommaire du match
28184Abbotsford Canucks5Toronto Marlies1LSommaire du match
31208Utica Comets5Toronto Marlies0LSommaire du match
34228Toronto Marlies2Laval Rocket1WXSommaire du match
37243Toronto Marlies0Utica Comets8LSommaire du match
38252Rochester Americans6Toronto Marlies1LSommaire du match
40276LeHigh Valley Phantoms3Toronto Marlies2LXSommaire du match
43295Toronto Marlies0Laval Rocket4LSommaire du match
45310Charlotte Checkers2Toronto Marlies3WSommaire du match
46323Toronto Marlies1Coachella Valley Firebirds6LSommaire du match
48342Chicago Wolves3Toronto Marlies2LXXSommaire du match
52364Hershey Bears2Toronto Marlies4WSommaire du match
54371Toronto Marlies0Abbotsford Canucks4LSommaire du match
58390Toronto Marlies4Manitoba Moose3WXXSommaire du match
60404Toronto Marlies-Rockford IceHogs-
61413Calgary Wranglers-Toronto Marlies-
64432Springfield Thunderbirds-Toronto Marlies-
68461Toronto Marlies-Wilkes-Barre/Scranton Penguins-
70472San Diego Gulls-Toronto Marlies-
72484Toronto Marlies-Milwaukee Admirals-
74499Toronto Marlies-Providence Bruins-
75507Manitoba Moose-Toronto Marlies-
78526Toronto Marlies-Bridgeport Islanders-
80538Iowa Wild-Toronto Marlies-
85548Toronto Marlies-Manitoba Moose-
88570Abbotsford Canucks-Toronto Marlies-
90588Toronto Marlies-Belleville Senators-
91599Tucson Roadrunners-Toronto Marlies-
94614Toronto Marlies-Grand Rapids Griffins-
97633Milwaukee Admirals-Toronto Marlies-
99650Toronto Marlies-Bakersfield Condors-
100662Bakersfield Condors-Toronto Marlies-
103683Toronto Marlies-Ontario Reign-
104696Laval Rocket-Toronto Marlies-
106712Toronto Marlies-Belleville Senators-
108726Toronto Marlies-San Jose Barracuda-
110741Texas Stars-Toronto Marlies-
113760Cleveland Monsters-Toronto Marlies-
115778Toronto Marlies-Hartford Wolf Pack-
117791Hartford Wolf Pack-Toronto Marlies-
122823Syracuse Crunch-Toronto Marlies-
126845Bridgeport Islanders-Toronto Marlies-
127857Toronto Marlies-Charlotte Checkers-
142876San Jose Barracuda-Toronto Marlies-
143889Toronto Marlies-Chicago Wolves-
147911Wilkes-Barre/Scranton Penguins-Toronto Marlies-
149924Toronto Marlies-Colorado Eagles-
151943Belleville Senators-Toronto Marlies-
153959Toronto Marlies-LeHigh Valley Phantoms-
156971Belleville Senators-Toronto Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159991Toronto Marlies-Hershey Bears-
1621006Laval Rocket-Toronto Marlies-
1671024Toronto Marlies-Henderson Silver Knights-
1681031Toronto Marlies-Syracuse Crunch-
1701038Toronto Marlies-Calgary Wranglers-
1721051Rockford IceHogs-Toronto Marlies-
1751076Utica Comets-Toronto Marlies-
1801096Providence Bruins-Toronto Marlies-
1831112Toronto Marlies-Rochester Americans-
1901133Providence Bruins-Toronto Marlies-
1921146Toronto Marlies-Rochester Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance23,09111,699
Assistance PCT96.21%97.49%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2899 - 96.64% 96,728$1,160,731$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
418,643$ 1,315,750$ 955,202$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,782$ 418,643$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,321,462$ 136 6,782$ 922,352$




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