Toronto Marlies

GP: 66 | W: 9 | L: 56 | OTL: 1 | P: 19
GF: 133 | GA: 374 | PP%: 10.90% | PK%: 67.05%
DG: Sebastien Cloutier | Morale : 19 | Moyenne d'Équipe : N/A
Prochain matchs #984 vs Hamilton Bulldogs
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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 SP
1Austen BrassardXX100.0068706960705862505050506050505013700
2Brett Sterling (R)X100.0058606868607564595056575954505014700
3Mark MacMillanXX100.0068646163647665506350506050505016600
4John McCarthyX100.0057726168726967597450636760555516400
5Quentin Shore (R)XX100.0054696267695560505650506150505013700
6Stefan MatteauXX100.0067815764817063555050576254505014400
7Tom SestitoXX100.0054505568855061545062556550606116600
8Pierre-Cedric LabrieX100.0068835763837565505050506150505016600
9Dylan LabbeX100.0057726266725858502550505950505015900
10David ShieldsX100.0064767262765862502550506350505014000
11John Gilmour (R)X100.0057666862666467502553506150505015800
12Keaton Thompson (R)X100.0055676362676066502550505950505016400
Rayé
MOYENNE D'ÉQUIPE100.006169636472646352455253615251511540
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 SP
1Frank Palazzese (R)100.005976616967726968676946676616600
2Troy Grosenick100.006380716470707168656846656516200
Rayé
MOYENNE D'ÉQUIPE100.00617866676971706866694666661640
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Cunneyworth44516446838763CAN555100,000$


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'ÉquipePOS GP 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
1Karl StolleryToronto Maple LeafsD146121819140415250024.00%1128320.282461247101248220.00%000001.2700000112
2Andy MieleToronto Maple LeafsC142571060420170011.76%215711.25011170001131075.19%12900000.8900000000
Stats d'équipe Total ou en Moyenne2881725292004525420019.05%1344115.7625713551013613275.19%12900001.1300000112
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Austen BrassardToronto Marlies (Tor)LW/RW241993-01-13No188 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brett SterlingToronto Marlies (Tor)LW321984-04-23Yes175 Lbs5 ft7NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
David ShieldsToronto Marlies (Tor)D251991-01-27No204 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Dylan LabbeToronto Marlies (Tor)D221995-01-08No194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Frank PalazzeseToronto Marlies (Tor)G231993-05-28Yes174 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
John GilmourToronto Marlies (Tor)D231993-05-16Yes180 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
John McCarthyToronto Marlies (Tor)LW301986-08-09No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Keaton ThompsonToronto Marlies (Tor)D211995-09-13Yes182 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Mark MacMillanToronto Marlies (Tor)C/RW241992-01-23No172 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Pierre-Cedric LabrieToronto Marlies (Tor)LW301986-12-05No226 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Quentin ShoreToronto Marlies (Tor)LW/RW221994-05-25Yes183 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Stefan MatteauToronto Marlies (Tor)LW/RW221994-02-23No220 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Tom SestitoToronto Marlies (Tor)LW/RW291987-09-28No228 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Troy GrosenickToronto Marlies (Tor)G271989-08-27No185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1425.29193 Lbs6 ft13.00371,429$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
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
LigueDomicileVisiteur
# 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 Heat20200000113-121010000007-71010000016-500.000123005048341325715565256126261029900.00%5260.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
2Adirondack Phantoms11000000321110000003210000000000021.000358005048341175715565256361041156116.67%60100.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
3Albany Devils20200000214-121010000018-71010000016-500.000246005048341305715565256117271430800.00%5260.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
4Binghampton Senateurs20200000312-91010000036-31010000006-600.000369005048341535715565256801310406116.67%4175.00%1563160934.99%749232532.22%326110129.61%9966622245499720283
5Bridgeport Sound Tigers30300000222-201010000006-620200000216-1400.0002460050483414657155652561583628541815.56%12650.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
6Charlotte Checkers3300000013103220000009721100000043161.00013253800504834111357155652561563526977457.14%13192.31%0563160934.99%749232532.22%326110129.61%9966622245499720283
7Chicago Wolves1010000015-41010000015-40000000000000.0001120050483411357155652564114626500.00%3166.67%0563160934.99%749232532.22%326110129.61%9966622245499720283
8Connecticut Whale21100000101001010000046-21100000064220.500102030005048341845715565256892614589444.44%6350.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
9Grand Rapids Griffins21100000912-31010000048-41100000054120.500918270050483419057155652567020183510220.00%8537.50%0563160934.99%749232532.22%326110129.61%9966622245499720283
10Hamilton Bulldogs20200000211-90000000000020200000211-900.0002460050483414157155652567115163216212.50%8275.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
11Hershey Bears20200000213-1120200000213-110000000000000.0002460050483414357155652561083024437114.29%12375.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
12Houston Aeros303000001120-91010000046-220200000714-700.00011223300504834111757155652561525947598112.50%16475.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
13Lake Erie Monsters302010001115-420200000510-51000100065120.333112233005048341158571556525614542267312216.67%12558.33%0563160934.99%749232532.22%326110129.61%9966622245499720283
14Manchester Monarchs20200000710-31010000024-21010000056-100.000713200050483418257155652561021718297228.57%9366.67%0563160934.99%749232532.22%326110129.61%9966622245499720283
15Milwaukee Admirals30300000120-191010000007-720200000113-1200.0001230050483414057155652561323124381100.00%11645.45%0563160934.99%749232532.22%326110129.61%9966622245499720283
16Norfolk Admirals21100000880110000007431010000014-320.50081624005048341725715565256953010481218.33%5260.00%1563160934.99%749232532.22%326110129.61%9966622245499720283
17Oklahoma City Barons2020000029-7000000000002020000029-700.000235005048341385715565256792120291915.26%9366.67%0563160934.99%749232532.22%326110129.61%9966622245499720283
18Peoria Rivermen30300000318-1520200000312-91010000006-600.0003580050483416557155652561843428521317.69%14471.43%0563160934.99%749232532.22%326110129.61%9966622245499720283
19Portland Pirates20200000511-61010000014-31010000047-300.00059140050483414657155652567719142711218.18%6266.67%0563160934.99%749232532.22%326110129.61%9966622245499720283
20Providence Bruins20200000010-100000000000020200000010-1000.00000000504834115571556525688252027900.00%10280.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
21Rochester Americans40400000125-2430300000121-201010000004-400.0001230050483416657155652561513326511100.00%13469.23%0563160934.99%749232532.22%326110129.61%9966622245499720283
22Rockford IceHogs20200000512-70000000000020200000512-700.000510150050483413757155652567919183712216.67%9455.56%0563160934.99%749232532.22%326110129.61%9966622245499720283
23San Antonio Rampage31100100914-5210001009901010000005-530.50091827005048341132571556525612640147615213.33%6350.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
24Springfield Falcons20200000215-131010000028-61010000007-700.0002460050483413257155652561002417281300.00%6266.67%0563160934.99%749232532.22%326110129.61%9966622245499720283
25St-John Ice Caps30300000715-820200000410-61010000035-200.000714210050483415457155652569532224014214.29%10370.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
26Syracuse Crunch20200000413-91010000026-41010000027-500.0004812005048341435715565256572418301600.00%9277.78%0563160934.99%749232532.22%326110129.61%9966622245499720283
27Texas Stars30300000518-130000000000030300000518-1300.0005101510504834149571556525611145244314214.29%12375.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
Total6685601100133374-241325260010070183-113343300100063191-128190.14413325939210504834116585715565256296080059111883123410.90%2588567.05%2563160934.99%749232532.22%326110129.61%9966622245499720283
29Wilkes-Barre Penguins1010000018-71010000018-70000000000000.00012300504834112571556525647242212500.00%11372.73%0563160934.99%749232532.22%326110129.61%9966622245499720283
30Worchester Sharks2020000039-61010000026-41010000013-200.00036900504834138571556525688291630900.00%8450.00%0563160934.99%749232532.22%326110129.61%9966622245499720283
_Since Last GM Reset6685601100133374-241325260010070183-113343300100063191-128190.14413325939210504834116585715565256296080059111883123410.90%2588567.05%2563160934.99%749232532.22%326110129.61%9966622245499720283
_Vs Conference365290110074202-12816312001003692-56202170100038110-72130.18174144218105048341991571556525616234343036771621911.73%1394766.19%0563160934.99%749232532.22%326110129.61%9966622245499720283
_Vs Division200100100043118-75806000001645-291204010002773-4620.05043851281050483415205715565256898262189342841011.90%842965.48%0563160934.99%749232532.22%326110129.61%9966622245499720283

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6619L2813325939216582960800591118810
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
668561100133374
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32526010070183
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34330100063191
Derniers 10 Matchs
WLOTWOTL SOWSOL
0100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3123410.90%2588567.05%2
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
57155652565048341
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
563160934.99%749232532.22%326110129.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9966622245499720283


Derniers Match 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
1 - 2017-10-016Rochester Americans8Toronto Marlies0LSommaire du Match
4 - 2017-10-0422Toronto Marlies1Texas Stars3LSommaire du Match
5 - 2017-10-0537Toronto Marlies1Milwaukee Admirals6LSommaire du Match
8 - 2017-10-0847Manchester Monarchs4Toronto Marlies2LSommaire du Match
11 - 2017-10-1168Peoria Rivermen4Toronto Marlies0LSommaire du Match
14 - 2017-10-1487Toronto Marlies0Providence Bruins4LSommaire du Match
16 - 2017-10-16101Toronto Marlies0Hamilton Bulldogs5LSommaire du Match
17 - 2017-10-17109Lake Erie Monsters4Toronto Marlies3LSommaire du Match
19 - 2017-10-19129San Antonio Rampage5Toronto Marlies6WSommaire du Match
22 - 2017-10-22157Rochester Americans6Toronto Marlies1LSommaire du Match
24 - 2017-10-24179Toronto Marlies0Peoria Rivermen6LSommaire du Match
27 - 2017-10-27186Charlotte Checkers4Toronto Marlies5WSommaire du Match
29 - 2017-10-29203Toronto Marlies1Abbotsford Heat6LSommaire du Match
31 - 2017-10-31212Toronto Marlies0Bridgeport Sound Tigers10LSommaire du Match
32 - 2017-11-01225St-John Ice Caps5Toronto Marlies1LSommaire du Match
33 - 2017-11-02235Toronto Marlies0Oklahoma City Barons4LSommaire du Match
35 - 2017-11-04254Milwaukee Admirals7Toronto Marlies0LSommaire du Match
37 - 2017-11-06272Norfolk Admirals4Toronto Marlies7WSommaire du Match
39 - 2017-11-08283Toronto Marlies6Connecticut Whale4WSommaire du Match
40 - 2017-11-09293Toronto Marlies0Springfield Falcons7LSommaire du Match
42 - 2017-11-11311Charlotte Checkers3Toronto Marlies4WSommaire du Match
43 - 2017-11-12326Toronto Marlies4Charlotte Checkers3WSommaire du Match
44 - 2017-11-13338San Antonio Rampage4Toronto Marlies3LXSommaire du Match
47 - 2017-11-16355Toronto Marlies3Rockford IceHogs4LSommaire du Match
48 - 2017-11-17368Portland Pirates4Toronto Marlies1LSommaire du Match
50 - 2017-11-19382Toronto Marlies2Rockford IceHogs8LSommaire du Match
53 - 2017-11-22402Abbotsford Heat7Toronto Marlies0LSommaire du Match
57 - 2017-11-26426Grand Rapids Griffins8Toronto Marlies4LSommaire du Match
58 - 2017-11-27441Toronto Marlies2Oklahoma City Barons5LSommaire du Match
60 - 2017-11-29460Wilkes-Barre Penguins8Toronto Marlies1LSommaire du Match
61 - 2017-11-30473Toronto Marlies5Grand Rapids Griffins4WSommaire du Match
62 - 2017-12-01484Connecticut Whale6Toronto Marlies4LSommaire du Match
65 - 2017-12-04506Toronto Marlies1Albany Devils6LSommaire du Match
67 - 2017-12-06514Toronto Marlies3Texas Stars8LSommaire du Match
69 - 2017-12-08522Worchester Sharks6Toronto Marlies2LSommaire du Match
71 - 2017-12-10546Toronto Marlies0Providence Bruins6LSommaire du Match
73 - 2017-12-12554Adirondack Phantoms2Toronto Marlies3WSommaire du Match
75 - 2017-12-14571Toronto Marlies6Lake Erie Monsters5WXSommaire du Match
76 - 2017-12-15584Syracuse Crunch6Toronto Marlies2LSommaire du Match
79 - 2017-12-18595Toronto Marlies2Syracuse Crunch7LSommaire du Match
81 - 2017-12-20610Springfield Falcons8Toronto Marlies2LSommaire du Match
83 - 2017-12-22619Toronto Marlies0Milwaukee Admirals7LSommaire du Match
87 - 2017-12-26632Toronto Marlies3St-John Ice Caps5LSommaire du Match
88 - 2017-12-27646Houston Aeros6Toronto Marlies4LSommaire du Match
90 - 2017-12-29659Toronto Marlies2Houston Aeros7LSommaire du Match
91 - 2017-12-30677St-John Ice Caps5Toronto Marlies3LSommaire du Match
94 - 2018-01-02695Toronto Marlies5Manchester Monarchs6LSommaire du Match
95 - 2018-01-03706Chicago Wolves5Toronto Marlies1LSommaire du Match
97 - 2018-01-05718Toronto Marlies5Houston Aeros7LSommaire du Match
100 - 2018-01-08730Toronto Marlies1Texas Stars7LSommaire du Match
101 - 2018-01-09743Albany Devils8Toronto Marlies1LSommaire du Match
104 - 2018-01-12767Bridgeport Sound Tigers6Toronto Marlies0LSommaire du Match
105 - 2018-01-13772Toronto Marlies1Worchester Sharks3LSommaire du Match
107 - 2018-01-15798Hershey Bears6Toronto Marlies1LSommaire du Match
110 - 2018-01-18815Toronto Marlies0San Antonio Rampage5LSommaire du Match
111 - 2018-01-19817Toronto Marlies0Rochester Americans4LSommaire du Match
112 - 2018-01-20832Rochester Americans7Toronto Marlies0LSommaire du Match
115 - 2018-01-23854Toronto Marlies2Hamilton Bulldogs6LSommaire du Match
116 - 2018-01-24863Lake Erie Monsters6Toronto Marlies2LSommaire du Match
118 - 2018-01-26884Peoria Rivermen8Toronto Marlies3LSommaire du Match
121 - 2018-01-29907Toronto Marlies0Binghampton Senateurs6LSommaire du Match
122 - 2018-01-30919Hershey Bears7Toronto Marlies1LSommaire du Match
124 - 2018-02-01943Toronto Marlies4Portland Pirates7LSommaire du Match
125 - 2018-02-02947Binghampton Senateurs6Toronto Marlies3LSommaire du Match
129 - 2018-02-06968Toronto Marlies1Norfolk Admirals4LSommaire du Match
131 - 2018-02-08976Toronto Marlies2Bridgeport Sound Tigers6LSommaire du Match
132 - 2018-02-09984Hamilton Bulldogs-Toronto Marlies-
135 - 2018-02-121006Oklahoma City Barons-Toronto Marlies-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
140 - 2018-02-171033Rockford IceHogs-Toronto Marlies-
142 - 2018-02-191045Toronto Marlies-Adirondack Phantoms-
143 - 2018-02-201063Grand Rapids Griffins-Toronto Marlies-
144 - 2018-02-211071Toronto Marlies-Chicago Wolves-
147 - 2018-02-241093Toronto Marlies-Wilkes-Barre Penguins-
148 - 2018-02-251101Providence Bruins-Toronto Marlies-
150 - 2018-02-271121Texas Stars-Toronto Marlies-
152 - 2018-03-011126Toronto Marlies-Chicago Wolves-
155 - 2018-03-041153Manchester Monarchs-Toronto Marlies-
156 - 2018-03-051162Toronto Marlies-Peoria Rivermen-
159 - 2018-03-081181Texas Stars-Toronto Marlies-
161 - 2018-03-101186Toronto Marlies-Hershey Bears-
166 - 2018-03-151213Manchester Monarchs-Toronto Marlies-
167 - 2018-03-161214Toronto Marlies-Abbotsford Heat-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
119,160$ 52,000$ 42,400$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 41,699$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 38 899$ 34,162$




LigueDomicileVisiteur
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
126685601100133374-241325260010070183-113343300100063191-1281913325939210504834116585715565256296080059111883123410.90%2588567.05%2563160934.99%749232532.22%326110129.61%9966622245499720283
Total Saison Régulière6685601100133374-241325260010070183-113343300100063191-1281913325939210504834116585715565256296080059111883123410.90%2588567.05%2563160934.99%749232532.22%326110129.61%9966622245499720283