Please rotate your device to landscape mode for a better experience.
Connexion

Toronto Marlies
GP: 4 | W: 1 | L: 3 | OTL: 0 | P: 2
GF: 11 | GA: 15 | PP%: 16.67% | PK%: 80.00%
DG: Dale Lautner | Morale : 48 | Moyenne d’équipe : 59
Prochains matchs #57 vs Henderson Silver Knights

Centre de jeu
Toronto Marlies
1-3-0, 2pts
2
FINAL
5 Coachella Valley Firebirds
3-0-0, 6pts
Team Stats
L2SéquenceW3
1-0-0Fiche domicile2-0-0
0-3-0Fiche domicile1-0-0
1-3-0Derniers 10 matchs3-0-0
2.75Buts par match 4.00
3.75Buts contre par match 1.00
16.67%Pourcentage en avantage numérique50.00%
80.00%Pourcentage en désavantage numérique100.00%
Toronto Marlies
1-3-0, 2pts
3
FINAL
4 Calgary Wranglers
2-2-0, 4pts
Team Stats
L2SéquenceW1
1-0-0Fiche domicile1-1-0
0-3-0Fiche domicile1-1-0
1-3-0Derniers 10 matchs2-2-0
2.75Buts par match 3.00
3.75Buts contre par match 2.75
16.67%Pourcentage en avantage numérique60.00%
80.00%Pourcentage en désavantage numérique50.00%
Henderson Silver Knights
1-1-1, 3pts
Jour 6
Toronto Marlies
1-3-0, 2pts
Statistiques d’équipe
W1SéquenceL2
1-1-0Fiche domicile1-0-0
0-0-1Fiche visiteur0-3-0
1-1-110 derniers matchs1-3-0
3.00Buts par match 2.75
3.33Buts contre par match 2.75
50.00%Pourcentage en avantage numérique16.67%
0%Pourcentage en désavantage numérique80.00%
Toronto Marlies
1-3-0, 2pts
Jour 7
Coachella Valley Firebirds
3-0-0, 6pts
Statistiques d’équipe
L2SéquenceW3
1-0-0Fiche domicile2-0-0
0-3-0Fiche visiteur1-0-0
1-3-010 derniers matchs3-0-0
2.75Buts par match 4.00
3.75Buts contre par match 4.00
16.67%Pourcentage en avantage numérique50.00%
80.00%Pourcentage en désavantage numérique100.00%
Coachella Valley Firebirds
3-0-0, 6pts
Jour 9
Toronto Marlies
1-3-0, 2pts
Statistiques d’équipe
W3SéquenceL2
2-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-3-0
3-0-010 derniers matchs1-3-0
4.00Buts par match 2.75
1.00Buts contre par match 2.75
50.00%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Ozzy Wiesblatt
4
Passes
Jamieson Rees
4
Points
Ozzy Wiesblatt
6
Brad HuntPlus/Moins
Brad Hunt
4
Ville HussoVictoires
Ville Husso
1
Ville HussoPourcentage d’arrêts
Ville Husso
0.903

Statistiques d’équipe
Buts pour
11
2.75 GFG
Tirs pour
141
35.25 Avg
Pourcentage en avantage numérique
16.7%
1 GF
Début de zone offensive
31.8%
Buts contre
15
3.75 GAA
Tirs contre
161
40.25 Avg
Pourcentage en désavantage numérique
80.0%%
1 GA
Début de la zone défensive
42.7%
Informations de l'équipe

Directeur généralDale Lautner
DivisionNorth Division
ConférenceWestern Conference
CapitaineBrad Hunt
Assistant #1Jordan Oesterle
Assistant #2Cale Fleury


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 65
Espoirs29


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
1Kevin Wall (R)0X100.006463584764606462496868655145450546102531,000,000$
2Luca Del Bel Belluz (R)0X100.00403599846768606055417450754552054600214891,667$
3Alex Steeves (R)0X100.008635997688696050554141626048600545902531,000,000$
4Ozzy Wiesblatt (R)0X100.00614066686260605941565560615050054590232835,333$
5Ryan Suzuki (R)0X100.00724769506052705449537069404545054590232775,000$
6Danila Klimovich (R)0X100.00657357576547696246645951534545054580221886,667$
7Jani Nyman (R)0X100.00376658686349546648545765494545054580205891,666$
8Caeden Bankier (R)0X100.00414364506151556264705464504545054570224867,500$
9Jamieson Rees (R)0X100.00494258646049706564554063434545055570241775,000$
10Brent Gates Jr.0X100.00745249706462556043445659534545054570271775,000$
11Alexander Campbell (R)0XX100.00528056496451586447406257604545054540241775,000$
12Matej Blumel (R)0X100.00496848526862496045435045554545048510242775,000$
13Jack St. Ivany (R)0X100.00673595777877605140504374514864054670255775,000$
14Jordan Oesterle (A)0X100.004735947871766051405143635176780546403221,250,000$
15Brad Hunt (C)0X100.004971526665636951516060585092920556303621,090,000$
16Matthew Robertson (R)0X100.00617870636157496557575166464545054600241775,000$
17Cale Fleury (A)0X100.00643599768076605040413850495266054600262800,000$
18Marshall Rifai0X100.005835997573726050404138504952640545902731,000,000$
Rayé
1Ben Jones (R)0X100.00723751536352585944546547534848051560264775,000$
2Samuel Helenius (R)0X100.00565746685858465251654164434545051560224805,833$
3Ryder Korczak (R)0X100.00355164566162546342554362554545051550222859,167$
4Tyler Tullio (R)0X100.00645467455953575242626444464545051540232823,333$
5Mathias Leferriere (R)0X100.00394658615846625960495854584545051540241775,000$
6Matt Tennyson0X100.00614661646472726140605167596959051640342775,000$
7Declan Carlile (R)0X100.004135997570726050404138574945590515802431,000,000$
8Kim Nousiainen (R)0X100.00585764656958496650634355564545051580241859,000$
9Case McCarthy (R)0X100.00695663566549605763534357404545051560241775,000$
10Alec Regula0X100.00676052506356616241506444554545051550241775,000$
11Topi Niemela (R)0X100.00617770555655655162474353564545051530232856,667$
12Christian Kyrou (R)0X100.00486267666347505550484843434545051510213878,333$
MOYENNE D’ÉQUIPE100.0057526863655959584953525752495205358
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
1Ville Husso0100.00837181917975838182827664510537803024,750,000$
2Georgi Romanov (R)0100.0083657393777981828479735045055760253775,000$
Rayé
1Jared Moe (R)0100.0051577063685866646654656054053610251775,000$
2Calle Clang (R)0100.0058504849644846456952685848053530222878,333$
MOYENNE D’ÉQUIPE100.006961687472656968756771585005467
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
1Ozzy WiesblattToronto Marlies (TOR)RW4426-100711167925.00%17318.3000014000000020.00%521001.6400000011
2Jamieson ReesToronto Marlies (TOR)C4145-15547104910.00%27218.1200003000000041.86%8602001.3800001000
3Luca Del Bel BelluzToronto Marlies (TOR)C4213-200210279137.41%28421.1401105000021047.87%9473000.7100000100
4Alex SteevesToronto Marlies (TOR)C4213-10093113618.18%38120.4610115000020062.50%802000.7300000010
5Jordan OesterleToronto Marlies (TOR)D4022-50011011520%1010726.840000500004000%004000.3700000000
6Kevin WallToronto Marlies (TOR)RW4112-2007614377.14%17719.2800000000010083.33%611000.5200000001
7Caeden BankierToronto Marlies (TOR)C4011-100888270%37719.4800004000040054.35%4623000.2600000000
8Jack St. IvanyToronto Marlies (TOR)D4011-400335120%510626.620000500014000%042000.1900000000
9Marshall RifaiToronto Marlies (TOR)D4011-300301100%05413.560000000000000%002000.3700000000
10Brad HuntToronto Marlies (TOR)D4011455215220%77619.060000400003000%083000.2600001000
11Matthew RobertsonToronto Marlies (TOR)D4011300244210%37919.930000400003000%001000.2500000000
12Jani NymanToronto Marlies (TOR)RW4101-1203494611.11%05213.210000000003000%020000.3800000000
13Matej BlumelToronto Marlies (TOR)LW4011-22410442530%16516.3600000000000033.33%300000.3100020000
14Alexander CampbellToronto Marlies (TOR)C/LW4000100100000%071.780000000002000%10000000000000
15Danila KlimovichToronto Marlies (TOR)RW4000020317110%0318.000001400000000%21000000000000
16Brent Gates Jr.Toronto Marlies (TOR)C4000120635100%0369.1500001000000033.33%30100000000000
17Ryan SuzukiToronto Marlies (TOR)C4000-300535140%04912.44000000000000100.00%10200000000000
18Cale FleuryToronto Marlies (TOR)D4000-300021100%15614.070000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne72111728-204020708014152727.80%39119116.541123490001341047.06%2552728000.4700022122
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
1Ville HussoToronto Marlies (TOR)41300.9034.10205001414567010040001
2Georgi RomanovToronto Marlies (TOR)10001.000032000157000004000
Statistiques d’équipe totales ou en moyenne51300.9123.5323800141607401044001


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 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
Alec RegulaToronto Marlies (TOR)D242000-08-06USANo208 Lbs6 ft4NoNoN/ANoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Alex SteevesToronto Marlies (TOR)C251999-12-10USAYes196 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Alexander CampbellToronto Marlies (TOR)C/LW242001-02-27CANYes179 Lbs5 ft10NoNoProspectNoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------
Ben JonesToronto Marlies (TOR)C261999-02-26CANYes187 Lbs6 ft0NoNoN/ANoNo42025-03-14FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Brad HuntToronto Marlies (TOR)D361988-08-24CANNo177 Lbs5 ft9NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm1,090,000$0$0$No1,090,000$--------1,090,000$--------No--------Lien / Lien NHL
Brent Gates Jr.Toronto Marlies (TOR)C271997-08-12USANo198 Lbs6 ft2NoNoProspectNoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------
Caeden BankierToronto Marlies (TOR)C222003-01-26CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo42024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$------867,500$867,500$867,500$------NoNoNo------
Cale FleuryToronto Marlies (TOR)D261998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo22024-01-11FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Calle ClangToronto Marlies (TOR)G222002-05-20SWEYes194 Lbs6 ft2NoNoProspectNoNo22024-01-20FalseFalsePro & Farm878,333$0$0$No878,333$--------878,333$--------No--------
Case McCarthyToronto Marlies (TOR)D242001-01-09USAYes198 Lbs6 ft1NoNoProspectNoNo12024-08-17FalseFalsePro & Farm775,000$0$0$No---------------------------
Christian KyrouToronto Marlies (TOR)D212003-09-16CANYes182 Lbs5 ft11NoNoProspectNoNo32024-08-17FalseFalsePro & Farm878,333$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------
Danila KlimovichToronto Marlies (TOR)RW222003-01-09BLRYes202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm886,667$0$0$No---------------------------Lien
Declan CarlileToronto Marlies (TOR)D242000-05-18USAYes190 Lbs6 ft2NoNoAssign ManuallyNoNo32024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Georgi RomanovToronto Marlies (TOR)G251999-12-05RUSYes210 Lbs6 ft5NoNoAssign ManuallyNoNo32024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Jack St. IvanyToronto Marlies (TOR)D251999-07-22USAYes198 Lbs6 ft3NoNoProspectNoNo52024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Jamieson ReesToronto Marlies (TOR)C242001-02-26CANYes172 Lbs5 ft11NoNoN/ANoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jani NymanToronto Marlies (TOR)RW202004-07-30FINYes207 Lbs6 ft4NoNoProspectNoNo52024-07-21FalseFalsePro & Farm891,666$0$0$No891,666$891,666$891,666$891,666$-----891,666$891,666$891,666$891,666$-----NoNoNoNo-----
Jared MoeToronto Marlies (TOR)G251999-07-22USAYes220 Lbs6 ft4NoNoProspectNoNo12024-08-17FalseFalsePro & Farm775,000$0$0$No---------------------------
Jordan OesterleToronto Marlies (TOR)D321992-06-25USANo187 Lbs6 ft0NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Kevin WallToronto Marlies (TOR)RW252000-02-01USAYes188 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Kim NousiainenToronto Marlies (TOR)D242000-11-14FINYes181 Lbs5 ft8NoNoProspectNoNo12024-07-21FalseFalsePro & Farm859,000$0$0$No---------------------------
Luca Del Bel BelluzToronto Marlies (TOR)C212003-11-10CANYes178 Lbs6 ft1NoNoProspectNoNo42024-01-20FalseFalsePro & Farm891,667$0$0$No891,667$891,667$891,667$------891,667$891,667$891,667$------NoNoNo------
Marshall RifaiToronto Marlies (TOR)D271998-03-16CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo32024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Matej BlumelToronto Marlies (TOR)LW242000-05-31CZEYes200 Lbs6 ft0NoNoN/ANoNo22025-03-14FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Mathias LeferriereToronto Marlies (TOR)C242000-06-27CANYes181 Lbs6 ft2NoNoProspectNoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------
Matt TennysonToronto Marlies (TOR)D341990-04-23USANo205 Lbs6 ft2NoNoFree AgentNoNo22024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Matthew RobertsonToronto Marlies (TOR)D242001-03-09CANYes201 Lbs6 ft4NoNoN/ANoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Ozzy WiesblattToronto Marlies (TOR)RW232002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo22024-01-11FalseFalsePro & Farm835,333$0$0$No835,333$--------835,333$--------No--------
Ryan SuzukiToronto Marlies (TOR)C232001-05-28CANYes176 Lbs6 ft0NoNoN/ANoNo22025-03-14FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Ryder KorczakToronto Marlies (TOR)C222002-09-23CANYes174 Lbs5 ft11NoNoProspectNoNo22024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------
Samuel HeleniusToronto Marlies (TOR)C222002-11-26FINYes201 Lbs6 ft6NoNoProspectNoNo42024-01-20FalseFalsePro & Farm805,833$0$0$No805,833$805,833$805,833$------805,833$805,833$805,833$------NoNoNo------
Topi NiemelaToronto Marlies (TOR)D232002-03-25FINYes160 Lbs5 ft11NoNoProspectNoNo22024-01-20FalseFalsePro & Farm856,667$0$0$No856,667$--------856,667$--------No--------
Tyler TullioToronto Marlies (TOR)RW232002-04-05CANYes165 Lbs5 ft10NoNoProspectNoNo22024-01-20FalseFalsePro & Farm823,333$0$0$No823,333$--------823,333$--------No--------
Ville Husso (contrat à 1 volet)Toronto Marlies (TOR)G301995-02-06FINNo205 Lbs6 ft3NoNoTrade2024-07-29NoNo22024-01-16FalseFalsePro & Farm4,750,000$4,750,000$4,561,508$No4,750,000$--------4,750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3424.79191 Lbs6 ft12.29972,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin WallLuca Del Bel BelluzAlex Steeves35023
2Matej BlumelJamieson ReesOzzy Wiesblatt33023
3Ryan SuzukiCaeden BankierJani Nyman22131
4Brent Gates Jr.Caeden BankierDanila Klimovich10230
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyJordan Oesterle40023
2Matthew RobertsonBrad Hunt30023
3Cale FleuryMarshall Rifai20131
4Jack St. IvanyJordan Oesterle10230
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jamieson ReesLuca Del Bel BelluzAlex Steeves60014
2Danila KlimovichCaeden BankierOzzy Wiesblatt40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyJordan Oesterle60014
2Matthew RobertsonBrad Hunt40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Caeden BankierJani Nyman60122
2Luca Del Bel BelluzKevin Wall40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyJordan Oesterle60122
2Matthew RobertsonBrad Hunt40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Caeden Bankier60122Jack St. IvanyJordan Oesterle60122
2Luca Del Bel Belluz40122Matthew RobertsonBrad Hunt40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Caeden BankierKevin Wall60122
2Luca Del Bel BelluzAlex Steeves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyJordan Oesterle60122
2Matthew RobertsonBrad Hunt40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan SuzukiLuca Del Bel BelluzKevin WallJack St. IvanyJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan SuzukiLuca Del Bel BelluzKevin WallJack St. IvanyJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brent Gates Jr., Caeden Bankier, Alex SteevesBrent Gates Jr., Caeden BankierAlex Steeves
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cale Fleury, Jack St. Ivany, Matthew RobertsonCale FleuryJordan Oesterle, Matthew Robertson
Tirs de pénalité
Luca Del Bel Belluz, Ozzy Wiesblatt, Alex Steeves, Alexander Campbell, Matej Blumel
Gardien
#1 : Ville Husso, #2 : Georgi Romanov
Lignes d’attaque personnalisées en prolongation
Danila Klimovich, Kevin Wall, Luca Del Bel Belluz, Alex Steeves, Jani Nyman, Ozzy Wiesblatt, Ryan Suzuki, Jamieson Rees, Brent Gates Jr., Caeden Bankier
Lignes de défense personnalisées en prolongation
Jack St. Ivany, Jordan Oesterle, Matthew Robertson, Brad Hunt, Cale Fleury


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
1Calgary Wranglers1010000034-1000000000001010000034-100.00034700443033525237034116102150.00%3166.67%0378145.68%5010945.87%336550.77%784084367638
2Coachella Valley Firebirds2020000038-5000000000002020000038-500.00035810443066525237092152737200.00%10100.00%0378145.68%5010945.87%336550.77%784084367638
3Syracuse Crunch11000000532110000005320000000000021.00058130044304252523703513723200.00%10100.00%0378145.68%5010945.87%336550.77%784084367638
Total413000001115-41100000053230300000612-620.25011172810443014152523701613940706116.67%5180.00%0378145.68%5010945.87%336550.77%784084367638
_Since Last GM Reset413000001115-41100000053230300000612-620.25011172810443014152523701613940706116.67%5180.00%0378145.68%5010945.87%336550.77%784084367638
_Vs Conference30300000612-60000000000030300000612-600.00069151044309952523701262633474125.00%4175.00%0378145.68%5010945.87%336550.77%784084367638
_Vs Division30300000612-60000000000030300000612-600.00069151044309952523701262633474125.00%4175.00%0378145.68%5010945.87%336550.77%784084367638

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42L211172814116139407010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
41300001115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000053
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000612
Derniers 10 matchs
WLOTWOTL SOWSOL
130000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6116.67%5180.00%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
52523704430
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
378145.68%5010945.87%336550.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
784084367638


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
12Toronto Marlies1Coachella Valley Firebirds3LSommaire du match
325Syracuse Crunch3Toronto Marlies5WSommaire du match
436Toronto Marlies2Coachella Valley Firebirds5LSommaire du match
548Toronto Marlies3Calgary Wranglers4LSommaire du match
657Henderson Silver Knights-Toronto Marlies-
768Toronto Marlies-Coachella Valley Firebirds-
990Coachella Valley Firebirds-Toronto Marlies-
11115Laval Rocket-Toronto Marlies-
14141Henderson Silver Knights-Toronto Marlies-
15158Toronto Marlies-Henderson Silver Knights-
16168Toronto Marlies-Abbotsford Canucks-
17179Toronto Marlies-Rockford IceHogs-
18190Syracuse Crunch-Toronto Marlies-
20214Henderson Silver Knights-Toronto Marlies-
22234Syracuse Crunch-Toronto Marlies-
23245Toronto Marlies-Springfield Thunderbirds-
25265Calgary Wranglers-Toronto Marlies-
27291Toronto Marlies-Ontario Reign-
28302Belleville Senators-Toronto Marlies-
30318Toronto Marlies-Charlotte Checkers-
31335Rochester Americans-Toronto Marlies-
32349Toronto Marlies-Henderson Silver Knights-
33364Milwaukee Admirals-Toronto Marlies-
35383Toronto Marlies-Tuscon Roadrunners-
36397Henderson Silver Knights-Toronto Marlies-
37416Toronto Marlies-Colorado Eagles-
38428Rockford IceHogs-Toronto Marlies-
41452Toronto Marlies-Iowa Wild-
42460Abbotsford Canucks-Toronto Marlies-
44482Toronto Marlies-Texas Stars-
45490Bakersfield Condors-Toronto Marlies-
46507Toronto Marlies-Abbotsford Canucks-
47519Toronto Marlies-Coachella Valley Firebirds-
48534Coachella Valley Firebirds-Toronto Marlies-
50557Chicago Wolves-Toronto Marlies-
52573Toronto Marlies-Bakersfield Condors-
53588Bakersfield Condors-Toronto Marlies-
55607Toronto Marlies-San Jose Barracuda-
56616Toronto Marlies-Rochester Americans-
57631Iowa Wild-Toronto Marlies-
60655Henderson Silver Knights-Toronto Marlies-
62680Colorado Eagles-Toronto Marlies-
63691Toronto Marlies-Grand Rapids Griffins-
65712Wilkes-Barre/Scranton Penguins-Toronto Marlies-
66719Toronto Marlies-Hershey Bears-
67739Toronto Marlies-Coachella Valley Firebirds-
69752Rochester Americans-Toronto Marlies-
71776Abbotsford Canucks-Toronto Marlies-
73793Toronto Marlies-Hartford Wolf Pack-
74808Syracuse Crunch-Toronto Marlies-
75818Toronto Marlies-Utica Comets-
77838Toronto Marlies-Coachella Valley Firebirds-
78845Bridgeport Sound Tigers-Toronto Marlies-
79858Toronto Marlies-Chicago Wolves-
80873Charlotte Checkers-Toronto Marlies-
82891Toronto Marlies-Rockford IceHogs-
83907Calgary Wranglers-Toronto Marlies-
86935Laval Rocket-Toronto Marlies-
87948Toronto Marlies-Laval Rocket-
89968Toronto Marlies-Springfield Thunderbirds-
90976Coachella Valley Firebirds-Toronto Marlies-
921000Syracuse Crunch-Toronto Marlies-
941016Toronto Marlies-San Diego Gulls-
951033Utica Comets-Toronto Marlies-
961041Toronto Marlies-Laval Rocket-
971055Toronto Marlies-Rochester Americans-
991070Grand Rapids Griffins-Toronto Marlies-
1001089Springfield Thunderbirds-Toronto Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1041122Bridgeport Sound Tigers-Toronto Marlies-
1051139Toronto Marlies-Providence Bruins-
1071155Manitoba Moose-Toronto Marlies-
1081168Toronto Marlies-Milwaukee Admirals-
1101181Toronto Marlies-Lehigh Valley Phantoms-
1111186Toronto Marlies-Cleveland Monsters-
1121200Charlotte Checkers-Toronto Marlies-
1131209Toronto Marlies-Calgary Wranglers-
1141219Toronto Marlies-Cleveland Monsters-
1151235Iowa Wild-Toronto Marlies-
1211266Coachella Valley Firebirds-Toronto Marlies-
1221274Toronto Marlies-Calgary Wranglers-
1241292Texas Stars-Toronto Marlies-
1251309Toronto Marlies-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
112,455$ 2,832,350$ 2,832,350$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
22,128$ 112,455$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 22,128$ 2,721,744$




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