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Toronto Marlies
GP: 7 | W: 3 | L: 4
GF: 24 | GA: 26 | PP%: 22.22% | PK%: 84.62%
DG: Dale Lautner | Morale : 53 | Moyenne d’équipe : 59

Centre de jeu
Toronto Marlies
3-4-0, 6pts
3
FINAL
5 Springfield Thunderbirds
4-7-0, 8pts
Team Stats
L3SéquenceL4
1-3-0Fiche domicile1-4-0
2-1-0Fiche domicile3-3-0
3-3-1Derniers 10 matchs3-5-2
3.43Buts par match 2.82
3.71Buts contre par match 3.55
22.22%Pourcentage en avantage numérique13.33%
84.62%Pourcentage en désavantage numérique73.68%
Springfield Thunderbirds
4-7-0, 8pts
5
FINAL
3 Toronto Marlies
3-4-0, 6pts
Team Stats
L4SéquenceL3
1-4-0Fiche domicile1-3-0
3-3-0Fiche domicile2-1-0
3-5-2Derniers 10 matchs3-3-1
2.82Buts par match 3.43
3.55Buts contre par match 3.71
13.33%Pourcentage en avantage numérique22.22%
73.68%Pourcentage en désavantage numérique84.62%
Meneurs d'équipe
Buts
Kevin Wall
7
Passes
Jamieson Rees
5
Points
Kevin Wall
10
Plus/Moins
Ben Jones
3
Ville HussoVictoires
Ville Husso
3
Ville HussoPourcentage d’arrêts
Ville Husso
0.871

Statistiques d’équipe
Buts pour
24
3.43 GFG
Tirs pour
265
37.86 Avg
Pourcentage en avantage numérique
22.2%
2 GF
Début de zone offensive
38.0%
Buts contre
26
3.71 GAA
Tirs contre
219
31.29 Avg
Pourcentage en désavantage numérique
84.6%%
2 GA
Début de la zone défensive
34.8%
Informations de l'équipe

Directeur généralDale Lautner
DivisionNorth Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro36
Équipe Mineure18
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)0X100.006463584764606462496868655145450916102541,000,000$
2Luca Del Bel Belluz (R)0X100.00403599846768606055417450754552089600215891,667$
3Alex Steeves (R)0X100.008635997688696050554141626048600905902541,000,000$
4Jakub Vrana0X100.004235897973736054555552506560680865902915,250,000$
5Ozzy Wiesblatt (R)0X100.00614066686260605941565560615050087590223835,333$
6Ryan Suzuki (R)0X100.00724769506052705449537069404545089590231863,333$
7Danila Klimovich (R)0X100.00657357576547696246645951534545059580222886,667$
8Jani Nyman (R)0X100.00376658686349546648545765494545063580206891,666$
9Caeden Bankier (R)0X100.00414364506151556264705464504545085570225867,500$
10Jamieson Rees (R)0X100.00494258646049706564554063434545089570242775,000$
11Brent Gates Jr. (R)0X100.00745249706462556043445659534545089570272775,000$
12Ben Jones (R)0X100.00723751536352585944546547534848087560261775,000$
13Alexander Campbell (R)0XX100.00528056496451586447406257604545088540242775,000$
14Jack St. Ivany (R)0X100.00673595777877605140504374514864087670256775,000$
15Jordan Oesterle0X100.004735947871766051405143635176780856403231,250,000$
16Brad Hunt0X100.004971526665636951516060585092920916303631,090,000$
17Joe Hicketts (R)0X100.00566247556848636347536868516060057610283775,000$
18Cale Fleury0X100.00643599768076605040413850495266089600263800,000$
Rayé
1Samuel Helenius (R)0X100.00565746685858465251654164434545019560225805,833$
2Ryder Korczak (R)0X100.00355164566162546342554362554545020550223859,167$
3Tyler Tullio (R)0X100.00645467455953575242626444464545020540223823,333$
4Mathias Leferriere (R)0X100.00394658615846625960495854584545020540242775,000$
5Matej Blumel (R)0X100.00496848526862496045435045554545020510241925,000$
6Matt Tennyson0XS1614661646472726140605167596959080640343775,000$
7Matthew Robertson (R)0X100.00617870636157496557575166464545063600232775,000$
8Marshall Rifai0X100.005835997573726050404138504952640225902641,000,000$
9Declan Carlile (R)0X100.004135997570726050404138574945590225802441,000,000$
10Kim Nousiainen (R)0X100.00585764656958496650634355564545022580242859,000$
11Case McCarthy (R)0X100.00695663566549605763534357404545022560242775,000$
12Alec Regula0X100.00676052506356616241506444554545020550242775,000$
13Topi Niemela (R)0X100.00617770555655655162474353564545020530223856,667$
14Christian Kyrou (R)0X100.00486267666347505550484843434545020510214878,333$
MOYENNE D’ÉQUIPE100.0056526863665959584953535752505205958
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 Husso0100.00837181917975838182827664510887803034,750,000$
2Georgi Romanov (R)0100.0083657393777981828479735045088760254775,000$
Rayé
1Jared Moe (R)0100.0051577063685866646654656054022610252775,000$
2Calle Clang (R)0100.0058504849644846456952685848022530223878,333$
MOYENNE D’ÉQUIPE100.006961687472656968756771585005567
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
1Kevin WallToronto Marlies (TOR)RW77310-2121015122532228.00%412217.4410110000001146.67%1511001.6400200010
2Luca Del Bel BelluzToronto Marlies (TOR)C74480006133962510.26%313619.4310118000050051.95%154124001.1800000100
3Jakub VranaToronto Marlies (TOR)LW7246-10068296196.90%213118.82011000000120071.43%7101000.9100000010
4Jamieson ReesToronto Marlies (TOR)C7055-2951312155110%412217.5001117000000050.81%12413000.8200001000
5Brad HuntToronto Marlies (TOR)D7055-2543011715740%812417.800000600007000%055000.8000204001
6Ben JonesToronto Marlies (TOR)C722430011642550.00%17310.4500000000050031.82%2210001.0900000010
7Matt TennysonToronto Marlies (TOR)D7044037156138350%813719.590000600008000%060000.5800201000
8Ozzy WiesblattToronto Marlies (TOR)RW7314-14021112551612.00%412417.750001700000100%850000.6400000002
9Caeden BankierToronto Marlies (TOR)C7213-3001013173611.76%110815.53000160000110048.33%6021000.5500000000
10Jack St. IvanyToronto Marlies (TOR)D7033-40041317230%1519327.6001119000013000%0106000.3100000000
11Danila KlimovichToronto Marlies (TOR)RW72133221080168812.50%1669.470002600000100%110000.9000002100
12Jani NymanToronto Marlies (TOR)RW7033-315154219990%18311.8600000000000066.67%332000.7200003000
13Jordan OesterleToronto Marlies (TOR)D7022-25541710820%1119127.3201109000013000%048000.2100010000
14Alex SteevesToronto Marlies (TOR)C711200022460616.67%013619.4300008000050025.00%834000.2900000100
15Ryan SuzukiToronto Marlies (TOR)C7112-32021550420.00%18512.1500000000000050.00%210000.4700000000
16Joe HickettsToronto Marlies (TOR)D7011220573320%49814.020000000001000%032000.2000000000
17Cale FleuryToronto Marlies (TOR)D7011200406220%510915.680000000000000%000000.1800000000
18Alexander CampbellToronto Marlies (TOR)C/LW7000000000000%091.360000000004000%00000000000000
19Brent Gates Jr.Toronto Marlies (TOR)C70003401396030%17410.6100001000000042.86%70000000000000
Statistiques d’équipe totales ou en moyenne133244266-1016690184152265721529.06%74212615.992468790000893148.42%4116837000.62006111333
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)73310.8713.84391002519496000070000
2Georgi RomanovToronto Marlies (TOR)10000.9601.58380012513000007000
Statistiques d’équipe totales ou en moyenne83310.8813.63430002621910900077000


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/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Alex SteevesToronto Marlies (TOR)C251999-12-10USAYes196 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$834,167$834,167$----NoNoNo------
Alexander CampbellToronto Marlies (TOR)C/LW242001-02-27CANYes179 Lbs5 ft10NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Ben JonesToronto Marlies (TOR)C261999-02-26CANYes187 Lbs6 ft0NoNoN/ANoNo12024-01-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Brad HuntToronto Marlies (TOR)D361988-08-24CANNo177 Lbs5 ft9NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm1,090,000$0$0$No1,090,000$1,090,000$-------1,090,000$1,090,000$-------NoNo-------Lien / Lien NHL
Brent Gates Jr.Toronto Marlies (TOR)C271997-08-12USAYes198 Lbs6 ft2NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Caeden BankierToronto Marlies (TOR)C222003-01-26CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo52024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$-----867,500$867,500$867,500$867,500$-----NoNoNoNo-----
Cale FleuryToronto Marlies (TOR)D261998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo32024-01-11FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Calle ClangToronto Marlies (TOR)G222002-05-20SWEYes194 Lbs6 ft2NoNoProspectNoNo32024-01-20FalseFalsePro & Farm878,333$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------
Case McCarthyToronto Marlies (TOR)D242001-01-09USAYes198 Lbs6 ft1NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Christian KyrouToronto Marlies (TOR)D212003-09-16CANYes182 Lbs5 ft11NoNoProspectNoNo42024-08-17FalseFalsePro & Farm878,333$0$0$No878,333$878,333$878,333$------878,333$878,333$878,333$------NoNoNo------
Danila KlimovichToronto Marlies (TOR)RW222003-01-09BLRYes202 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien
Declan CarlileToronto Marlies (TOR)D242000-05-18USAYes190 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Georgi RomanovToronto Marlies (TOR)G251999-12-05RUSYes210 Lbs6 ft5NoNoAssign ManuallyNoNo42024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$2,500,000$2,500,000$----NoNoNo------
Jack St. IvanyToronto Marlies (TOR)D251999-07-22USAYes198 Lbs6 ft3NoNoProspectNoNo62024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$----775,000$775,000$775,000$775,000$775,000$----NoNoNoNoNo----
Jakub Vrana (contrat à 1 volet)Toronto Marlies (TOR)LW291996-02-28CZENo190 Lbs6 ft0NoNoTrade2024-08-01NoNo1FalseFalsePro & Farm5,250,000$5,250,000$0$No---------------------------Lien / Lien NHL
Jamieson ReesToronto Marlies (TOR)C242001-02-26CANYes172 Lbs5 ft11NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Jani NymanToronto Marlies (TOR)RW202004-07-30FINYes207 Lbs6 ft4NoNoProspectNoNo62024-07-21FalseFalsePro & Farm891,666$0$0$No891,666$891,666$891,666$891,666$891,666$----891,666$891,666$891,666$891,666$891,666$----NoNoNoNoNo----
Jared MoeToronto Marlies (TOR)G251999-07-22USAYes220 Lbs6 ft4NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Joe HickettsToronto Marlies (TOR)D281996-05-04CANYes180 Lbs5 ft8NoNoFree AgentNoNo32024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Jordan OesterleToronto Marlies (TOR)D321992-06-25USANo187 Lbs6 ft0NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien / Lien NHL
Kevin WallToronto Marlies (TOR)RW252000-02-01USAYes188 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Kim NousiainenToronto Marlies (TOR)D242000-11-14FINYes181 Lbs5 ft8NoNoProspectNoNo22024-07-21FalseFalsePro & Farm859,000$0$0$No859,000$--------859,000$--------No--------
Luca Del Bel BelluzToronto Marlies (TOR)C212003-11-10CANYes178 Lbs6 ft1NoNoProspectNoNo52024-01-20FalseFalsePro & Farm891,667$0$0$No891,667$891,667$891,667$891,667$-----891,667$891,667$891,667$891,667$-----NoNoNoNo-----
Marshall RifaiToronto Marlies (TOR)D261998-03-16CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Matej BlumelToronto Marlies (TOR)LW242000-05-31CZEYes200 Lbs6 ft0NoNoN/ANoNo12024-01-11FalseFalsePro & Farm925,000$0$0$No---------------------------
Mathias LeferriereToronto Marlies (TOR)C242000-06-27CANYes181 Lbs6 ft2NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Matt TennysonToronto Marlies (TOR)D341990-04-23USANo205 Lbs6 ft2NoNoFree AgentNoNo32024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Matthew RobertsonToronto Marlies (TOR)D232001-03-09CANYes201 Lbs6 ft4NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Ozzy WiesblattToronto Marlies (TOR)RW222002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo32024-01-11FalseFalsePro & Farm835,333$0$0$No835,333$835,333$-------835,333$835,333$-------NoNo-------
Ryan SuzukiToronto Marlies (TOR)C232001-05-28CANYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Ryder KorczakToronto Marlies (TOR)C222002-09-23CANYes174 Lbs5 ft11NoNoProspectNoNo32024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------
Samuel HeleniusToronto Marlies (TOR)C222002-11-26FINYes201 Lbs6 ft6NoNoProspectNoNo52024-01-20FalseFalsePro & Farm805,833$0$0$No805,833$805,833$805,833$805,833$-----805,833$805,833$805,833$805,833$-----NoNoNoNo-----
Topi NiemelaToronto Marlies (TOR)D222002-03-25FINYes160 Lbs5 ft11NoNoProspectNoNo32024-01-20FalseFalsePro & Farm856,667$0$0$No856,667$856,667$-------856,667$856,667$-------NoNo-------
Tyler TullioToronto Marlies (TOR)RW222002-04-05CANYes165 Lbs5 ft10NoNoProspectNoNo32024-01-20FalseFalsePro & Farm823,333$0$0$No823,333$823,333$-------823,333$823,333$-------NoNo-------
Ville Husso (contrat à 1 volet)Toronto Marlies (TOR)G301995-02-06FINNo205 Lbs6 ft3NoNoTrade2024-07-29NoNo32024-01-16FalseFalsePro & Farm4,750,000$4,750,000$0$No4,750,000$4,750,000$-------4,750,000$4,750,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3624.86190 Lbs6 ft13.001,092,690$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin WallLuca Del Bel BelluzAlex Steeves35023
2Jakub VranaJamieson ReesOzzy Wiesblatt33023
3Ryan SuzukiCaeden BankierJani Nyman22131
4Brent Gates Jr.Ben JonesDanila Klimovich10230
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyJordan Oesterle40023
2Brad Hunt30023
3Cale FleuryJoe Hicketts20131
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
2Brad Hunt40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Caeden BankierJakub Vrana60122
2Luca Del Bel BelluzAlex Steeves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyJordan Oesterle60122
2Brad Hunt40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Caeden Bankier60122Jack St. IvanyJordan Oesterle60122
2Luca Del Bel Belluz40122Brad 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
2Brad Hunt40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaLuca Del Bel BelluzKevin WallJack St. IvanyJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaLuca Del Bel BelluzKevin WallJack St. IvanyJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brent Gates Jr., Caeden Bankier, Ben JonesBrent Gates Jr., Caeden BankierBen Jones
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cale Fleury, Jack St. Ivany, Cale FleuryJordan Oesterle,
Tirs de pénalité
Caeden Bankier, Kevin Wall, Luca Del Bel Belluz, Alex Steeves, Jakub Vrana
Gardien
#1 : Ville Husso, #2 : Georgi Romanov
Lignes d’attaque personnalisées en prolongation
Danila Klimovich, Kevin Wall, Luca Del Bel Belluz, Alex Steeves, Jakub Vrana, Ozzy Wiesblatt, Ryan Suzuki, Jamieson Rees, Brent Gates Jr., Caeden Bankier
Lignes de défense personnalisées en prolongation
Jack St. Ivany, Jordan Oesterle, , 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
1Springfield Thunderbirds734000002426-2413000001012-2321000001414060.4292442660086822657494934219741661849222.22%13284.62%08215652.56%7014348.95%4711241.96%150821387014166
Total734000002426-2413000001012-2321000001414060.4292442660086822657494934219741661849222.22%13284.62%08215652.56%7014348.95%4711241.96%150821387014166
_Since Last GM Reset734000002426-2413000001012-2321000001414060.4292442660086822657494934219741661849222.22%13284.62%08215652.56%7014348.95%4711241.96%150821387014166
_Vs Conference734000002426-2413000001012-2321000001414060.4292442660086822657494934219741661849222.22%13284.62%08215652.56%7014348.95%4711241.96%150821387014166

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L32442662652197416618400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002426
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001012
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100001414
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9222.22%13284.62%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
74949348682
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
8215652.56%7014348.95%4711241.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150821387014166


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
15Springfield Thunderbirds3Toronto Marlies2LXSommaire du match
213Springfield Thunderbirds1Toronto Marlies4WSommaire du match
321Toronto Marlies5Springfield Thunderbirds4WXSommaire du match
429Toronto Marlies6Springfield Thunderbirds5WXSommaire du match
537Springfield Thunderbirds3Toronto Marlies1LSommaire du match
645Toronto Marlies3Springfield Thunderbirds5LSommaire du match
753Springfield Thunderbirds5Toronto Marlies3LSommaire du match



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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,856,183$ 2,856,183$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Toronto Marlies Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Toronto Marlies Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Toronto Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Toronto Marlies Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Toronto Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA