MarliesToronto Marlies
12-8-2, 26pts · 10th in Eastern
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Martin Frk0LW/RW100.007441695882727069496162736279760447532900,000$/2yrs
Jayson Megna0C100.006138905574727272836259766084830477535900,000$/2yrs
Logan Shaw38C/RW100.0064408555867172704160597460817904474331,000,000$/2yrs
Matthew Peca63C/LW/RW100.006138895868727369746261736279780497432775,000$/1yrs
Travis Boyd72C/LW/RW100.006232965774716862626961586278780477332900,000$/1yrs
Dryden Hunt73LW100.008440925875747061616660606074730477330850,000$/1yrs
Paul Cotter43C/LW/RW100.009040775984779060615768586467650527326775,000$/1yrs
Rem Pitlick32C/LW/RW100.006339855977706965356459696272700507328900,000$/3yrs
Alex Steeves0C100.006739796176707663466065666368660477325900,000$/1yrs
Vinnie Hinostroza0LW/RW100.0068329057697673575960625659777604071311,000,000$/2yrs
Quinn Hutson0RW100.007439706166699059476062666163600477123875,000$/1yrs
Jan Jenik0RW100.007841615778677063665858665866620267025900,000$/1yrs
Louie Belpedio0D100.0070339962757767603061677264727204475291,000,000$/2yrs
Joel Hanley41D100.0064487655738290543060507152838004772341,200,000$/2yrs
Jaycob Megna0D100.007134845591857355305450765279780477232900,000$/2yrs
Victor Soderstrom9D100.006332756371827057306750595363610477224775,000$/1yrs
Brayden Pachal94D100.0082436355818085543059566755676404771261,100,000$/3yrs
Haydn Fleury4D100.0074338655857981523050508151747304970291,000,000$/2yrs
Scratches
Ruslan Iskhakov (R)0C100.006638806061678961656158645963610207025900,000$/1yrs
Ryan Winterton (R)0C100.007032925671759056555659665861610256922828,333$/1yrs
Aku Raty (R)0RW100.006639825775666962485955655765630206924850,000$/3yrs
Michael Brandsegg-Nygard (R)28LW/RW100.008942595981648555405758595756520256820942,500$/3yrs
Braeden Cootes (R)80C100.005838896072648754605757595754530256718975,000$/3yrs
Ludwig Persson (R)0C/LW100.007139815875638755605855585656540206722814,999$/3yrs
Albert Johansson (R)2D100.006632955567819052305750705166650207024925,000$/1yrs
Noah Beck (R)0D100.007141745783675957306154585765620237024975,000$/1yrs
Connor Mackey2D100.008943505078666649305652715473680206929775,000$/1yrs
Samuel Bolduc58D100.007134935589777053305758605565640206924900,000$/1yrs
Maveric Lamoureux (R)0D100.007067505783836750306059575460550316921876,667$/2yrs
Michael Benning (R)0D100.006839775266656851305754655663600206823900,000$/3yrs
Ian Moore (R)0D100.006239855479648653305653645563610206823925,000$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Brandon Bussi0100.007375718962767573767375717104878271,200,000$/2yrs
Cooper Black0100.00726070945678737278777465640367624950,000$/1yrs
Scratches
Carter George0100.00727867756570717270717154640467419845,833$/3yrs
Trent Miner0100.00606165756060606060726064670296824900,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jacques Martin57616058999737CAN733500,000$
General Manager
Player Stats
Filter Tips
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
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Dryden HuntMarliesMarlies (TOR)LW2271320680374492215.91%314.2416768000231053.85%10400001.2800
2Martin FrkMarliesMarlies (TOR)LW/RW22512170275818322636.02%421.0313474000630036.11%3600000.7400
3Rem PitlickMarliesMarlies (TOR)C/LW/RW2261016-2135257723587.79%518.151677500001053.57%2800010.8000
4Travis BoydMarliesMarlies (TOR)C/LW/RW2231114660143718238.11%316.5911219000192161.76%3400000.7700
5Jaycob MegnaMarliesMarlies (TOR)D22311142180423611208.33%3022.2434774000580047.62%10500000.5700
6Jayson MegnaMarliesMarlies (TOR)C22681434077531548.00%818.9500016101721061.66%57900000.6700
7Louie BelpedioMarliesMarlies (TOR)D2221214-1120294915424.08%3023.461126401153000.00%000000.5400
8Matthew PecaMarliesMarlies (TOR)C/LW/RW204711-12096913415.80%516.7314556000260038.89%1800000.6600
9Haydn FleuryMarliesMarlies (TOR)D22371011204225122312.00%1522.542467300048000.00%000000.4000
10Alex SteevesMarliesMarlies (TOR)C227310-320297515539.33%416.6430368000321040.96%48100000.5500
11Logan ShawMarliesMarlies (TOR)C/RW226391100456512479.23%514.69000000090145.90%32900000.5600
12Victor SoderstromMarliesMarlies (TOR)D2234752061581120.00%1716.262134900013200.00%000000.3900
13Brayden PachalMarliesMarlies (TOR)D22156418054961111.11%2216.600001000056100.00%000000.3300
14Maveric LamoureuxMarliesMarlies (TOR)D20156-224056161196.25%2221.131125700056000.00%000000.2800
15Joel HanleyMarliesMarlies (TOR)D221340200341071110.00%1618.970001700017000.00%000000.1900
16Paul CotterMarliesMarlies (TOR)C/LW/RW12224-26019219179.52%311.97101400001033.33%1200000.5600
17Quinn HutsonMarliesMarlies (TOR)RW2213430025244264.17%38.52000000000040.00%1500000.4300
18Vinnie HinostrozaMarliesMarlies (TOR)LW/RW15202-100355940.00%06.870000000000100.00%200000.3900
19Ryan WintertonMarliesMarlies (TOR)C701100036140.00%09.080001200080047.87%9400000.3100
20Braeden CootesMarliesMarlies (TOR)C701140001120.00%06.83000000000042.22%4500000.4200
21Jan JenikMarliesMarlies (TOR)RW500002035140.00%14.840000000000100.00%100000.0000
22Michael Brandsegg-NygardMarliesMarlies (TOR)LW/RW7000-2601910530.00%113.550001500000037.50%800000.0000
23Noah BeckMarliesMarlies (TOR)D200000000000.00%00.0000000000000.00%000000.0000
Team Total or Average4036312118421192105827572395538.32%19716.6518314976011255910250.08%189100010.5500
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Brandon BussiMarliesMarlies (TOR)2011810.9152.39115604465400000.0000202230
2Carter GeorgeMarliesMarlies (TOR)21010.8334.00120008480000.0000215000
3Cooper BlackMarliesMarlies (TOR)10001.0000.0044000210000.000005000
Team Total or Average2312820.9112.45132104546090000.00002222230
Salary
Player Name POS Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Aku Raty RW24850,000$850,000$ 850,000$ 850,000$ RFA
Albert Johansson D24925,000$925,000$ RFA
Alex Steeves C25900,000$900,000$ RFA
Braeden Cootes C18975,000$975,000$ 975,000$ 975,000$ RFA
Brandon Bussi G271,200,000$1,200,000$ 1,200,000$ UFA
Brayden Pachal D261,100,000$1,100,000$ 1,100,000$ 1,100,000$ UFA
Carter George G19845,833$845,833$ 845,833$ 845,833$ RFA
Connor Mackey D29775,000$775,000$ UFA
Cooper Black G24950,000$950,000$ RFA
Dryden Hunt LW30850,000$850,000$ UFA
Haydn Fleury D291,000,000$1,000,000$ 1,000,000$ UFA
Ian Moore D23925,000$925,000$ 925,000$ RFA
Jan Jenik RW25900,000$900,000$ RFA
Jaycob Megna D32900,000$900,000$ 900,000$ UFA
Jayson Megna C35900,000$900,000$ 900,000$ UFA
Joel Hanley D341,200,000$1,200,000$ 1,200,000$ UFA
Logan Shaw C/RW331,000,000$1,000,000$ 1,000,000$ UFA
Louie Belpedio D291,000,000$1,000,000$ 1,000,000$ UFA
Ludwig Persson C/LW22814,999$814,999$ 814,999$ 814,999$ RFA
Martin Frk LW/RW32900,000$900,000$ 900,000$ UFA
Matthew Peca C/LW/RW32775,000$775,000$ UFA
Maveric Lamoureux D21876,667$876,667$ 876,667$ RFA
Michael Benning D23900,000$900,000$ 900,000$ 900,000$ RFA
Michael Brandsegg-Nygard LW/RW20942,500$942,500$ 942,500$ 942,500$ RFA
Noah Beck D24975,000$975,000$ RFA
Paul Cotter C/LW/RW26775,000$775,000$ RFA
Quinn Hutson RW23875,000$875,000$ RFA
Rem Pitlick C/LW/RW28900,000$900,000$ 900,000$ 900,000$ UFA
Ruslan Iskhakov C25900,000$900,000$ RFA
Ryan Winterton C22828,333$828,333$ RFA
Samuel Bolduc D24900,000$900,000$ RFA
Travis Boyd C/LW/RW32900,000$900,000$ UFA
Trent Miner G24900,000$900,000$ RFA
Victor Soderstrom D24775,000$775,000$ RFA
Vinnie Hinostroza LW/RW311,000,000$1,000,000$ 1,000,000$ UFA

Lines
Forward Lines


# - Travis Boyd


# - Jayson Megna


# - Martin Frk


# - Rem Pitlick


# - Alex Steeves


# - Logan Shaw


# - Paul Cotter


# - Dryden Hunt


# - Quinn Hutson


# - Vinnie Hinostroza


# - Jayson Megna


# - Jan Jenik

Defensive Pairings


# - Haydn Fleury


# - Louie Belpedio


# - Jaycob Megna


# - Joel Hanley


# - Victor Soderstrom


# - Brayden Pachal

1st Power Play Unit


# - Travis Boyd


# - Jaycob Megna


# - Martin Frk


# - Louie Belpedio


# - Rem Pitlick

2nd Power Play Unit


# - Dryden Hunt


# - Alex Steeves


# - Jayson Megna


# - Joel Hanley


# - Haydn Fleury

Goalies


# - Brandon Bussi


# - Cooper Black

Team Stats
Filter Tips
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1MarliesWranglers1010000003-300.0000000031191702825726324823081023200.00%40100.00%042284649.88%38072552.41%17034249.71%5443674821672951510.0%0.0%90.0%90.0Unlucky
2MarliesComets1010000014-300.000123003119170282572632482376416200.00%2150.00%042284649.88%38072552.41%17034249.71%54436748216729515125.0%3.6%89.2%92.8Unlucky
3MarliesSenators1100000053221.0005914003119170512572632482341210266233.33%3166.67%042284649.88%38072552.41%17034249.71%54436748216729515160.0%9.8%91.2%101.0LUCKY
4MarliesIslanders1010000013-200.0001230031191702625726324823113425100.00%20100.00%042284649.88%38072552.41%17034249.71%54436748216729515125.0%3.8%90.3%94.2Unlucky
5MarliesWolf Pack1100000063321.000610160031191703925726324822748265120.00%3166.67%042284649.88%38072552.41%17034249.71%54436748216729515171.4%15.4%88.9%104.3FUN
6MarliesGriffins2110000034-120.50036901311917064257263248250141245800.00%5260.00%042284649.88%38072552.41%17034249.71%54436748216729515160.0%4.7%92.0%96.7DULL
7MarliesRocket1000010034-110.5003690031191703425726324822888215240.00%30100.00%042284649.88%38072552.41%17034249.71%54436748216729515120.0%8.8%85.7%94.5Unlucky
8MarliesWild1100000031221.0003580031191704525726324822941020400.00%50100.00%042284649.88%38072552.41%17034249.71%54436748216729515175.0%6.7%96.6%103.2DULL
9MarliesCrunch42100100148650.625142741023119170136257263248211132398216425.00%16193.75%042284649.88%38072552.41%17034249.71%54436748216729515158.8%10.3%92.8%103.1LUCKY
10MarliesBruins1100000042221.00047110031191703925726324822096294250.00%20100.00%042284649.88%38072552.41%17034249.71%54436748216729515150.0%10.3%90.0%100.3FUN
11MarliesAmericans2200000095441.00091524003119170892572632482451810568225.00%5260.00%042284649.88%38072552.41%17034249.71%54436748216729515170.0%10.1%88.9%99.0FUN
12MarliesMonsters31200000109120.3331019290031191707525726324827328269813430.77%13192.31%042284649.88%38072552.41%17034249.71%54436748216729515142.9%13.3%87.7%101.0FUN
13MarliesGulls1100000030321.00035801311917044257263248228913263133.33%40100.00%042284649.88%38072552.41%17034249.71%544367482167295151100.0%6.8%100.0%106.8DULL
14MarliesStars1100000032121.000369003119170432572632482256420700.00%10100.00%042284649.88%38072552.41%17034249.71%54436748216729515160.0%7.0%92.0%99.0DULL
15MarliesSilver Knights1010000023-100.000235003119170292572632482419427300.00%20100.00%142284649.88%38072552.41%17034249.71%54436748216729515140.0%6.9%92.7%99.6DULL
_Vs Division675002001819-1161.3331833510031191701682572632482168514216521523.81%20385.00%042284649.88%38072552.41%17034249.71%54436748216729515144.8%10.7%88.7%99.4FUN
_Vs Conference179600200564511200.588561031590331191705812572632482456144127424681725.00%54983.33%042284649.88%38072552.41%17034249.71%54436748216729515152.0%9.6%90.1%99.8FUN
_Since Last GM Reset2212800200675413260.591671221890431191707702572632482609180168540871820.69%70987.14%142284649.88%38072552.41%17034249.71%54436748216729515152.1%8.7%91.1%99.8Unlucky
Total2212800200675413260.591671221890431191707702572632482609180168540871820.69%70987.14%142284649.88%38072552.41%17034249.71%54436748216729515152.1%8.7%91.1%99.8Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 21
Puck Time
Offensive Zone Start 846
Neutral Zone Start 342
Defensive Zone Start 725
Puck Time
With Puck 31
Without Puck 28
Faceoffs
Faceoffs Won 972
Faceoffs Lost 941
Team Average Shots after League Average Shots after
1st Period 11.79.57
2nd Period 23.620.31
3rd Period 34.930.68
Overtime 35.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.40.64
2nd Period 2.31.65
3rd Period 3.02.67
Overtime 3.02.83
Even Strenght Goal 48
PP Goal 18
PK Goal 1
Empty Net Goal 0
Home Away
Win 84
Lost 35
Overtime Lost 20
PP Attempt 87
PP Goal 18
PK Attempt 70
PK Goal Against 9
Home
Shots For 35.0
Shots Against 27.7
Goals For 3.0
Goals Against 2.5
Hits 24.5
Shots Blocked 8.2
Pim 7.6
Schedule
DateMatchup Result Detail
2025-10-10MarliesAmericans@MarliesMarliesAmericans4,Marlies6RECAP
2025-10-13MarliesRocket@MarliesMarliesRocket4,Marlies3 (OT)RECAP
2025-10-17MarliesSenators@MarliesMarliesSenators3,Marlies5RECAP
2025-10-19MarliesMarlies@MarliesGriffinsMarlies2,Griffins0RECAP
2025-10-21MarliesMonsters@MarliesMarliesMonsters4,Marlies3RECAP
2025-10-22MarliesMarlies@MarliesCometsMarlies1,Comets4RECAP
2025-10-25MarliesMarlies@MarliesAmericansMarlies3,Americans1RECAP
2025-10-26MarliesCrunch@MarliesMarliesCrunch0,Marlies3RECAP
2025-10-29MarliesMarlies@MarliesCrunchMarlies3,Crunch5RECAP
2025-10-30MarliesMonsters@MarliesMarliesMonsters1,Marlies4RECAP
2025-11-01MarliesSilver Knights@MarliesMarliesSilver Knights3,Marlies2RECAP
2025-11-09MarliesCrunch@MarliesMarliesCrunch3,Marlies2 (OT)RECAP
2025-11-13MarliesMarlies@MarliesGriffinsMarlies1,Griffins4RECAP
2025-11-14MarliesIslanders@MarliesMarliesIslanders3,Marlies1RECAP
2025-11-17MarliesMarlies@MarliesGullsMarlies3,Gulls0RECAP
2025-11-18MarliesWolf Pack@MarliesMarliesWolf Pack3,Marlies6RECAP
2025-11-20MarliesMarlies@MarliesWildMarlies3,Wild1RECAP
2025-11-23MarliesCrunch@MarliesMarliesCrunch0,Marlies6RECAP
2025-11-29MarliesStars@MarliesMarliesStars2,Marlies3RECAP
2025-12-01MarliesMarlies@MarliesMonstersMarlies3,Monsters4RECAP
2025-12-03MarliesBruins@MarliesMarliesBruins2,Marlies4RECAP
2025-12-05MarliesMarlies@MarliesWranglersMarlies0,Wranglers3RECAP
2025-12-08MarliesMarlies@MarliesRocket
2025-12-09MarliesPenguins@MarliesMarlies
2025-12-13MarliesMarlies@MarliesCheckers
2025-12-14MarliesMonsters@MarliesMarlies
2025-12-17MarliesMarlies@MarliesComets
2025-12-20MarliesSilver Knights@MarliesMarlies
2025-12-22MarliesMarlies@MarliesWolves
2025-12-24MarliesComets@MarliesMarlies
2025-12-28MarliesMarlies@MarliesGriffins
2025-12-29MarliesPhantoms@MarliesMarlies
2026-01-01MarliesMarlies@MarliesMonsters
2026-01-02MarliesCheckers@MarliesMarlies
2026-01-05MarliesMarlies@MarliesCanucks
2026-01-08MarliesRocket@MarliesMarlies
2026-01-12MarliesMarlies@MarliesIslanders
2026-01-13MarliesRocket@MarliesMarlies
2026-01-17MarliesMarlies@MarliesCrunch
2026-01-18MarliesBarracuda@MarliesMarlies
2026-01-21MarliesMarlies@MarliesRocket
2026-01-23MarliesSenators@MarliesMarlies
2026-01-28MarliesAmericans@MarliesMarlies
2026-01-29MarliesMarlies@MarliesSenators
2026-02-02MarliesEagles@MarliesMarlies
2026-02-04MarliesMarlies@MarliesIceHogs
2026-02-06MarliesGriffins@MarliesMarlies
2026-02-08MarliesMarlies@MarliesReign
2026-02-11MarliesSenators@MarliesMarlies
2026-02-13MarliesMarlies@MarliesWolf Pack
2026-02-17MarliesFirebirds@MarliesMarlies
2026-02-18MarliesMarlies@MarliesAdmirals
2026-02-21MarliesAmericans@MarliesMarlies
2026-02-23MarliesMarlies@MarliesBruins
2026-02-26MarliesBears@MarliesMarlies
2026-03-01MarliesMarlies@MarliesBears
2026-03-03MarliesMarlies@MarliesThunderbirds
2026-03-04MarliesComets@MarliesMarlies
2026-03-07MarliesMarlies@MarliesComets
Trade Deadline --- Trades can’t be done after this day is simulated!
2026-03-08MarliesGriffins@MarliesMarlies
2026-03-12MarliesCondors@MarliesMarlies
2026-03-13MarliesMarlies@MarliesPenguins
2026-03-17MarliesMarlies@MarliesRoadrunners
2026-03-18MarliesFirebirds@MarliesMarlies
2026-03-20MarliesMarlies@MarliesAmericans
2026-03-22MarliesMarlies@MarliesSenators
2026-03-23MarliesThunderbirds@MarliesMarlies
2026-03-24MarliesMarlies@MarliesFirebirds
2026-03-29MarliesThunderbirds@MarliesMarlies
2026-03-30MarliesMarlies@MarliesMoose
2026-03-31MarliesMarlies@MarliesFirebirds
2026-04-01MarliesMarlies@MarliesPhantoms

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
2,945,833$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityToronto
Capacity3000
Season Ticket Holders0%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$0$$$$
Attendance00
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
23 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
2,945,833$ 2,945,833$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,174,098$ 16,366$ 1,004,660$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 131 19,144$ 2,278,136$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,278,136$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
Ruslan Iskhakov is suspended for 60 more games.
Albert Johansson is suspended for 60 more games.
Aku Raty is suspended for 60 more games.

Game Center

Bruins15-9-1, 31pts24Final
Marlies12-8-2, 26pts

Marlies12-8-2, 26pts03Final
Wranglers7-12-5, 19pts

Marlies12-8-2, 26ptsSat, Dec 06
Wranglers7-12-5, 19pts

Rocket13-11-2, 28ptsTue, Oct 14
Marlies12-8-2, 26pts

Senators11-11-3, 25ptsSat, Oct 18
Marlies12-8-2, 26pts

TRANSACTIONS



 

Team Info

Marlies
Head CoachJacques Martin
DivisionNorth
CityToronto
Stadium Capacity3,000

Marlies Affiliation

Marlies
General ManagerDominic Dubé
Head CoachBruce Cassidy
StadiumScotiabank Arena
Capacity18,000

Team Leaders


GOALS
Dryden Hunt
MarliesMarlies
7
GOALS
POINTS
Dryden Hunt
MarliesMarlies
20
POINTS
WINS
Brandon Bussi
MarliesMarlies
11
WINS
Expanded Player Leaderboard

Team Stats


Goals For
67
3.05 GFG
Goals Against
54
2.45 GAA
Power Play Percentage
20.7%
18 GF
Penalty Kill Percentage
87.1%
9 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain