Toronto Marlies

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Guy Rollin | Morale : 1 | Moyenne d'Équipe : 57
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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
1Michael MerschX100.008078846878788262505764676144446693620
2Michael McCarronXX100.008088617288636463796258685549496487620
3Matthew HighmoreXX100.007166847066626265506562635944446557600
4Jonathan Dahlen (R)XX100.007466926366676961505761635844446365590
5Nathan Walker (C)X100.006562726462717462505962595944456368580
6Emile PoirierXX100.007573806873616354505051644852525875570
7Mason MarchmentX100.007377625977616260505660635744446150570
8Trent FredericX100.007787726577547560705055632545455983570
9Nolan Vesey (R)X100.007776796976495049504944624244445322530
10Grant Besse (R)XX100.007062906262586051503860595744445831530
11Ryan HorvatX100.006467566467656950505044564244445225520
12Stephen GiontaXXX100.006960896560515347594445574344445245510
13Andrew MacWilliamX100.007681636881707747253541643956565364600
14Ben Gleason (R)X100.007469856069788554255241623944445668590
15Ryan StantonX100.007273696673677250254241633958585362590
16Nicolas MelocheX100.007576726276707550254343614144445472580
17Rinat Valiev (A)X100.007980756480646851254641633944445480580
18Keegan LoweX100.007373726573707650254539603745455368580
19Dennis RobertsonX100.007978816278606446253243644152525272570
20Timothy LiljegrenX100.007570867270596151254641613944445469570
Rayé
1Zac LeslieX100.007164876664707648254040593844445219560
2Josiah DidierX100.007275666375667148253941593945455220560
3Brandon Hickey (R)X100.007975876575555748254040633844445228560
4Louie BelpedioX100.007269796569707648253941593944445351560
5Vili Saarijarvi (R)X100.007365906465646947253940593844445219550
MOYENNE D'ÉQUIPE100.00747277657264685339474862444646565657
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
1Jonas Johansson100.00645265846864647066663044446466630
2Chris Driedger100.00635873846665576663623044446225620
Rayé
1Eddie Pasquale100.00646885846368616966653044446559640
2Jeremy Helvig (R)100.00475265844345535547483044444920520
MOYENNE D'ÉQUIPE100.0060587284606159656160304444604360
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods48614562454651CAN51272,600$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrew MacWilliamToronto Marlies (TOR)D281990-03-25No223 Lbs6 ft2NoNoNo1Pro & Farm632,500$0$0$NoLien
Ben GleasonToronto Marlies (TOR)D201998-03-25Yes185 Lbs6 ft1NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Lien
Brandon HickeyToronto Marlies (TOR)D221996-04-13Yes201 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Chris DriedgerToronto Marlies (TOR)G241994-05-18No205 Lbs6 ft4NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Dennis RobertsonToronto Marlies (TOR)D271991-05-24No215 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Eddie PasqualeToronto Marlies (TOR)G271990-11-19No215 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Emile PoirierToronto Marlies (TOR)LW/RW231994-12-14No196 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien
Grant BesseToronto Marlies (TOR)LW/RW231994-07-14Yes174 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$NoLien
Jeremy HelvigToronto Marlies (TOR)G211997-05-24Yes207 Lbs6 ft4NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Lien
Jonas JohanssonToronto Marlies (TOR)G221995-09-18No206 Lbs6 ft4NoNoNo1Pro & Farm759,167$0$0$NoLien
Jonathan DahlenToronto Marlies (TOR)C/LW201997-12-20Yes183 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Josiah DidierToronto Marlies (TOR)D251993-04-08No202 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Keegan LoweToronto Marlies (TOR)D251993-03-29No195 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien
Louie BelpedioToronto Marlies (TOR)D221996-05-14No193 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Mason MarchmentToronto Marlies (TOR)LW231995-03-06No204 Lbs6 ft4NoNoNo1Pro & Farm767,500$0$0$NoLien
Matthew HighmoreToronto Marlies (TOR)LW/RW221996-02-27No181 Lbs5 ft11NoNoNo2Pro & Farm775,833$0$0$No775,833$Lien
Michael McCarronToronto Marlies (TOR)C/RW231995-03-06No231 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$NoLien
Michael MerschToronto Marlies (TOR)LW251992-10-02No213 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien
Nathan WalkerToronto Marlies (TOR)LW241994-02-06No175 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien
Nicolas MelocheToronto Marlies (TOR)D201997-07-18No204 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Nolan VeseyToronto Marlies (TOR)LW231995-03-28Yes212 Lbs6 ft0NoNoNo2Pro & Farm817,500$0$0$No817,500$Lien
Rinat ValievToronto Marlies (TOR)D231995-05-11No215 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan HorvatToronto Marlies (TOR)LW251993-02-09No185 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien
Ryan StantonToronto Marlies (TOR)D281989-07-20No196 Lbs6 ft2NoNoNo1Pro & Farm770,000$0$0$NoLien
Stephen GiontaToronto Marlies (TOR)C/LW/RW341983-10-09No175 Lbs5 ft7YesNoNo1Pro & Farm700,000$0$0$NoLien
Timothy LiljegrenToronto Marlies (TOR)D191999-04-30No192 Lbs6 ft0NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien
Trent FredericToronto Marlies (TOR)C201998-02-11No203 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Vili SaarijarviToronto Marlies (TOR)D211997-05-15Yes183 Lbs5 ft10NoNoNo1Pro & Farm894,000$0$0$NoLien
Zac LeslieToronto Marlies (TOR)D241994-01-31No174 Lbs6 ft0YesNoNo1Pro & Farm742,500$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.55198 Lbs6 ft11.41769,879$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael MerschMichael McCarronMatthew Highmore40122
2Nathan WalkerJonathan DahlenEmile Poirier30122
3Mason MarchmentTrent FredericGrant Besse20122
4Nolan VeseyStephen GiontaRyan Horvat10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew MacWilliamBen Gleason40122
2Ryan StantonRinat Valiev30122
3Nicolas MelocheKeegan Lowe20122
4Dennis RobertsonTimothy Liljegren10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael MerschMichael McCarronMatthew Highmore60122
2Nathan WalkerJonathan DahlenEmile Poirier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew MacWilliamBen Gleason60122
2Ryan StantonRinat Valiev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael McCarronMichael Mersch60122
2Matthew HighmoreNathan Walker40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew MacWilliamBen Gleason60122
2Ryan StantonRinat Valiev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael McCarron60122Andrew MacWilliamBen Gleason60122
2Michael Mersch40122Ryan StantonRinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael McCarronMichael Mersch60122
2Matthew HighmoreNathan Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew MacWilliamBen Gleason60122
2Ryan StantonRinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael MerschMichael McCarronMatthew HighmoreAndrew MacWilliamBen Gleason
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael MerschMichael McCarronMatthew HighmoreAndrew MacWilliamBen Gleason
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Horvat, Trent Frederic, Mason MarchmentRyan Horvat, Trent FredericMason Marchment
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nicolas Meloche, Keegan Lowe, Dennis RobertsonNicolas MelocheKeegan Lowe, Dennis Robertson
Tirs de Pénalité
Michael McCarron, Michael Mersch, Matthew Highmore, Nathan Walker, Jonathan Dahlen
Gardien
#1 : Jonas Johansson, #2 : Chris Driedger


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets2512
Assistance0.00%0.00%
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,232,651$ 2,172,651$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
Saison Régulière
201682165205522278423-1454192603201139204-654172602321139219-80322784437212148122101719655057456933930731025258612972036532.02%2349459.83%9684133451.27%929186549.81%748144351.84%142661817858161741899
201782254008540285348-6341141706220154171-1741112302320131177-465028546775230471021241622205347828724630441033191313382128941.98%2618766.67%9704149347.15%988212846.43%657133149.36%145965117988091706887
201882244006273302333-3141112103132144160-1641131903141158173-15483024927941163105121252300628783855733068101087312681897740.74%1846664.13%6661142846.29%772176443.76%654134348.70%148068417888141717881
2019822639010421312323-1141141804311157155241122106110155168-135231251582710691171141622956038078237229961065171513232148740.65%2308662.61%7685147446.47%830186944.41%626135646.17%147168318078081679856
Total Saison Régulière328911710291615611771427-2501644882016864594690-961644389013892583737-154182117719173094722274464606487802270311732432301218141337087522681831838.88%90933363.37%312734572947.72%3519762646.14%2685547349.06%583726377179324868453523