MarliesToronto Marlies
41-23-5, 87pts · 3rd 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
Travis Boyd72C/LW/RW100.006132906274818064806666676577760787531900,000$/2yrs
Jacob Peterson48C/LW99.0067328865728268666070626264676504075251,250,000$/1yrs
Andrew Poturalski22C/RW100.006438845969718266706658696274720777331800,000$/1yrs
Matt Nieto0LW/RW100.0062329357727781606061637061787807273321,200,000$/1yrs
Dryden Hunt73LW100.008541915775747461596261606173720577229850,000$/2yrs
Michael Eyssimont0C/LW100.007649585671758662596262566271670727128800,000$/2yrs
Alex Steeves0C99.006438866171698761476162646165630767125900,000$/2yrs
Josh Doan (R)0C100.006338876273677762665665636160580277123925,000$/2yrs
Oliver Kapanen (R)0C100.007339786373688659616262616259570427121925,000$/3yrs
Vinni Lettieri55C100.006932825670717258745761616074720767030875,000$/2yrs
Ruslan Iskhakov (R)0C100.006638806061678961656158645963610407024900,000$/2yrs
Jagger Firkus (R)0RW100.006337836359688860466163616256540477020891,667$/3yrs
Calum Ritchie (R)0C100.006139866275678358656159636056540716920950,000$/3yrs
Luke Schenn0D99.0096546755888286593062567257848006876351,250,000$/1yrs
Jake Christiansen (R)23D100.006533886275829055306350615266650757225850,000$/2yrs
Victor Soderstrom0D100.006332756371827057306750595363610407224900,000$/1yrs
Connor Mackey2D100.007973505579797054306061655771660727128775,000$/2yrs
Cal Foote0D100.007048515591817355305955635567620217026950,000$/1yrs
Brayden Pachal0D100.008547685581799050305350725067630706925900,000$/1yrs
Scratches
Lias Andersson0C100.0067398062717086636659666563666401972261,000,000$/1yrs
Adam Ruzicka0C100.006034916287737861756561546167660207225
Aleksi Heponiemi0C/RW100.005836935860667562716055635765640206926
Eetu Tuulola0RW100.006941766288636060655455646265620206927
Jan Jenik0RW100.007843615874667960615857645863590696924900,000$/2yrs
Aku Raty (R)0RW100.006338865973667460456157635961600726923896,250$/1yrs
Lauri Pajuniemi0RW100.006439835576657762455358655664630256825875,000$/2yrs
Gabriel Fortier (R)0C100.006138895469638761725354645463610206725900,000$/1yrs
Laurent Dauphin0LW/RW100.006632835573736852805056605474720196630780,000$/2yrs
Ivan Lodnia (R)91RW100.005838946077616057655152645963620196625800,000$/2yrs
Brandon Coe (R)0RW100.006639815279618561405052645161590206623900,000$/3yrs
Zack Ostapchuk (R)0C100.006940795583627658355056625357550276621825,000$/2yrs
Maxim Groshev (R)0LW100.006239875476627760355452645361590206623867,500$/2yrs
William Stromgren (R)0LW100.006038915372607759505450625257560196521990,833$/2yrs
Matthew Seminoff (R)0RW100.005938925171587759475048624957560206321850,000$/2yrs
Drew Bavaro0D100.008041635880688856305353646163590756824867,500$/2yrs
Philip Kemp0D100.007040744782618846305248665064620206526
Michael Benning (R)0D100.006939764766617847305251635159570206423916,667$/1yrs
Albert Johansson (R)0D100.006939764772618646305250645161580206424925,000$/2yrs
Michael Vukojevic (R)0D100.006640804386598043304848644861590206223875,000$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Trent Miner099.00787074748278787878787862620757924900,000$/2yrs
Cooper Black0100.00728469994673737273727364720667723950,000$/2yrs
Scratches
Cal Petersen0100.00726567766261666766686674770267230850,000$/2yrs
Olle Eriksson Ek0100.00656065785862656662666566690206925850,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jacques Martin57616058999737CAN724500,000$
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
1Andrew PoturalskiMarliesMarlies (TOR)C/RW5226295514180761994712713.07%719.6771017158000389054.71%55200021.0812
2Matt NietoMarliesMarlies (TOR)LW/RW65182240-416076201511528.96%1719.913471010001161251.06%9400000.6212
3Dryden HuntMarliesMarlies (TOR)LW68182139152401001656314810.91%918.443581770001004152.94%17000000.6205
4Jagger FirkusMarliesMarlies (TOR)RW681623391118095165571279.70%914.540001000002131.34%6700000.7900
5Josh DoanMarliesMarlies (TOR)C64181937-110038158489611.39%411.50731014900033051.02%63500001.0100
6Vinni LettieriMarliesMarlies (TOR)C691422369408614843949.46%1117.8456111790002062157.14%169400000.5803
7Alex SteevesMarliesMarlies (TOR)C691917362260991825512310.44%1416.84628118011702245.11%151400000.6203
8Michael EyssimontMarliesMarlies (TOR)C/LW68122335125810182154481277.79%1019.7957121620001412149.04%93800000.5222
9Connor MackeyMarliesMarlies (TOR)D6953035111203020310430694.81%6920.5311011201011152100.00%000000.4900
10Oliver KapanenMarliesMarlies (TOR)C68142135-1535121127549511.02%413.13671318400063146.75%7700000.7800
11Drew BavaroMarliesMarlies (TOR)D6652833175951416723597.46%6917.65246125000131110.00%000000.5711
12Brayden PachalMarliesMarlies (TOR)D691021317841017485497211.76%10122.0831013201000187200.00%000000.4100
13Jake ChristiansenMarliesMarlies (TOR)D6952328-11008350284010.00%7820.87314104000133000.00%000000.3900
14Aku RatyMarliesMarlies (TOR)RW6491928318104410831688.33%912.360113700012038.64%4400000.7100
15Jacob PetersonMarliesMarlies (TOR)C/LW49141125816043133439510.53%414.9111230000281058.97%7800000.6801
16Jan JenikMarliesMarlies (TOR)RW6313122510415113159361008.18%814.6935813300003049.21%6300000.5400
17Luke SchennMarliesMarlies (TOR)D362182024951174621434.35%3822.33156100011117000.00%000000.5000
18Travis BoydMarliesMarlies (TOR)C/LW/RW72101242083510195.71%020.6001123000110063.98%18600001.6600
19Victor SoderstromMarliesMarlies (TOR)D491910116017183135.56%4013.19000400039000.00%000000.3100
20Calum RitchieMarliesMarlies (TOR)C65437-1160246615456.06%67.330112800070051.45%44900000.2900
21Laurent DauphinMarliesMarlies (TOR)LW/RW2023544013215219.52%111.420005000110153.33%1500000.4400
22Zack OstapchukMarliesMarlies (TOR)C60134-440182116274.76%14.620001800000039.58%33100000.2900
23Lias AnderssonMarliesMarlies (TOR)C2112200141125.00%06.58000100010050.00%400003.0400
24Cal FooteMarliesMarlies (TOR)D13022-100121010.00%97.59011100018000.00%000000.4100
25Gabriel FortierMarliesMarlies (TOR)C33022-520710390.00%25.70000000010058.33%1200000.2100
26Michael BenningMarliesMarlies (TOR)D41124004100100.00%413.7500000000100.00%000000.7300
27Brandon CoeMarliesMarlies (TOR)RW17101100071414.29%02.1800010000100.00%100000.5400
28Ruslan IskhakovMarliesMarlies (TOR)C47011-22087010.00%01.360000000000100.00%200000.3100
29Ivan LodniaMarliesMarlies (TOR)RW700000000000.00%00.1300000000000.00%000000.0000
30Lauri PajuniemiMarliesMarlies (TOR)RW1800000000000.00%00.0000000000000.00%000000.0000
31William StromgrenMarliesMarlies (TOR)LW3000-12000100.00%07.4900000000000.00%100000.0000
32Albert JohanssonMarliesMarlies (TOR)D300010020000.00%112.4800000000000.00%000000.0000
33Maxim GroshevMarliesMarlies (TOR)LW100000021020.00%09.9200000000000.00%000000.0000
Team Total or Average1425231394625107662801907244378217789.46%52514.75568414022640331531401150.90%692700020.59519
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
1Trent MinerMarliesMarlies (TOR)49281440.9262.2128264310414120010.700104616414
2Cooper BlackMarliesMarlies (TOR)2313910.9032.99130521656710100.900102338111
3Cal PetersenMarliesMarlies (TOR)10001.0000.0039000140000.0000015000
Team Total or Average73412350.9192.4341716416920970110.800206969525
Salary
Player Name POS Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Adam Ruzicka C250$ RFA
Aku Raty RW23896,250$896,250$ RFA
Albert Johansson D24925,000$925,000$ 925,000$ RFA
Aleksi Heponiemi C/RW260$ RFA
Alex Steeves C25900,000$900,000$ 900,000$ RFA
Andrew Poturalski C/RW31800,000$800,000$ UFA
Brandon Coe RW23900,000$900,000$ 900,000$ 900,000$ RFA
Brayden Pachal D25900,000$900,000$ RFA
Cal Foote D26950,000$950,000$ RFA
Cal PetersenG30850,000$850,000$850,000$UFA
Calum Ritchie C20950,000$950,000$ 950,000$ 950,000$ RFA
Connor Mackey D28775,000$775,000$ 775,000$ UFA
Cooper Black G23950,000$950,000$ 950,000$ RFA
Drew Bavaro D24867,500$867,500$ 867,500$ RFA
Dryden Hunt LW29850,000$850,000$ 850,000$ UFA
Eetu Tuulola RW270$UFA
Gabriel Fortier C25900,000$900,000$ RFA
Ivan Lodnia RW25800,000$800,000$ 800,000$ RFA
Jacob Peterson C/LW251,250,000$1,250,000$ RFA
Jagger Firkus RW20891,667$891,667$ 891,667$ 891,667$ RFA
Jake Christiansen D25850,000$850,000$ 850,000$ RFA
Jan Jenik RW24900,000$900,000$ 900,000$ RFA
Josh Doan C23925,000$925,000$ 925,000$ RFA
Laurent Dauphin LW/RW30780,000$780,000$ 780,000$ UFA
Lauri Pajuniemi RW25875,000$875,000$ 875,000$ RFA
Lias Andersson C261,000,000$1,000,000$ RFA
Luke Schenn D351,250,000$1,250,000$ UFA
Matt Nieto LW/RW321,200,000$1,200,000$ UFA
Matthew Seminoff RW21850,000$850,000$ 850,000$ RFA
Maxim Groshev LW23867,500$867,500$ 867,500$ RFA
Michael Benning D23916,667$916,667$ RFA
Michael Eyssimont C/LW28800,000$800,000$ 800,000$ UFA
Michael Vukojevic D23875,000$875,000$ 875,000$ RFA
Oliver Kapanen C21925,000$925,000$ 925,000$ 925,000$ RFA
Olle Eriksson Ek G25850,000$850,000$ RFA
Philip Kemp D260$ RFA
Ruslan Iskhakov C24900,000$900,000$ 900,000$ RFA
Travis Boyd C/LW/RW31900,000$900,000$ 900,000$ UFA
Trent Miner G24900,000$900,000$ 900,000$ RFA
Victor Soderstrom D24900,000$900,000$ RFA
Vinni Lettieri C30875,000$875,000$ 875,000$ UFA
William Stromgren LW21990,833$990,833$ 990,833$ RFA
Zack Ostapchuk C21825,000$825,000$ 825,000$ RFA

Lines
Forward Lines


# - Jacob Peterson


# - Travis Boyd


# - Andrew Poturalski


# - Michael Eyssimont


# - Alex Steeves


# - Matt Nieto


# - Oliver Kapanen


# - Josh Doan


# - Calum Ritchie


# - Jacob Peterson


# - Vinni Lettieri


# - Jagger Firkus

Defensive Pairings


# - Luke Schenn


# - Jake Christiansen


# - Connor Mackey


# - Victor Soderstrom


# - Brayden Pachal


# - Cal Foote

1st Power Play Unit


# - Michael Eyssimont


# - Travis Boyd


# - Andrew Poturalski


# - Luke Schenn


# - Jacob Peterson

2nd Power Play Unit


# - Vinni Lettieri


# - Alex Steeves


# - Matt Nieto


# - Brayden Pachal


# - Connor Mackey

Goalies


# - Trent Miner


# - 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
1MarliesWranglers2100100085341.000815230069746086667773874241541748489222.22%7185.71%01320250252.76%1265243551.95%532103251.55%16741130157952992246460.0%12.1%90.7%102.9FUN
2MarliesPhantoms2200000062441.0006101600697460863677738742414513204418527.78%9188.89%01320250252.76%1265243551.95%532103251.55%16741130157952992246450.0%9.5%95.6%105.1LUCKY
3MarliesComets42001001128470.875122335006974608143677738742419635299218527.78%110100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246446.7%8.4%91.7%100.1DULL
4MarliesSenators42100010127560.750122234006974608124677738742419731301047342.86%14192.86%01320250252.76%1265243551.95%532103251.55%16741130157952992246460.0%9.7%92.8%102.5LUCKY
5MarliesIslanders2010010024-210.250235006974608566777387424161221845500.00%9188.89%01320250252.76%1265243551.95%532103251.55%16741130157952992246440.0%3.6%93.4%97.0DULL
6MarliesWolves1000001043121.00045900697460835677738742413111627300.00%30100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246457.1%11.4%90.3%101.8FUN
7MarliesEagles1010000025-300.00024600697460827677738742414681724200.00%5180.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246433.3%7.4%89.1%96.5Unlucky
8MarliesWolf Pack2110000045-120.5004590069746085567773874241491231466116.67%7271.43%01320250252.76%1265243551.95%532103251.55%16741130157952992246450.0%7.3%89.8%97.1Unlucky
9MarliesGriffins43100000139460.7501323360069746081296777387424111633178515320.00%6183.33%01320250252.76%1265243551.95%532103251.55%16741130157952992246455.6%10.1%92.2%102.3LUCKY
10MarliesRocket6510000021912100.83321416202697460818167773874241184414215320420.00%19289.47%01320250252.76%1265243551.95%532103251.55%16741130157952992246470.8%11.6%95.1%106.7LUCKY
11MarliesBears2020000068-200.00061218006974608636777387424178223538900.00%11372.73%01320250252.76%1265243551.95%532103251.55%16741130157952992246454.5%9.5%89.7%99.3FUN
12MarliesWild1100000043121.000461000697460839677738742413411416200.00%2150.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246466.7%10.3%91.2%101.4LUCKY
13MarliesCanucks1010000013-200.000112006974608266777387424132131028000.00%50100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246425.0%3.8%90.6%94.5Unlucky
14MarliesReign1100000041321.00048120069746082467773874241348625500.00%30100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246480.0%16.7%97.1%113.7LUCKY
15MarliesAdmirals33000000145961.00014264000697460810467773874241892022908225.00%110100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246470.6%13.5%94.4%107.8LUCKY
16MarliesCrunch41200100815-730.375814220069746081266777387424111431321001516.67%16381.25%11320250252.76%1265243551.95%532103251.55%16741130157952992246436.8%6.3%86.8%93.2Unlucky
17MarliesCondors2110000055020.500510150069746085467773874241671426554125.00%10280.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246457.1%9.3%92.5%101.8LUCKY
18MarliesThunderbirds2020000038-500.0003690069746084967773874241651619499111.11%7185.71%01320250252.76%1265243551.95%532103251.55%16741130157952992246422.2%6.1%87.7%93.8Unlucky
19MarliesRoadrunners1100000032121.000369006974608376777387424134912224125.00%110.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246466.7%8.1%94.1%102.2DULL
20MarliesBruins32100000119240.66711213201697460883677738742419627185911218.18%90100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246450.0%13.3%90.6%103.9FUN
21MarliesAmericans43100000149560.75014284201697460812467773874241125353910413323.08%15286.67%01320250252.76%1265243551.95%532103251.55%16741130157952992246461.1%11.3%92.8%104.1LUCKY
22MarliesIceHogs1100000051421.0005914006974608356777387424124710255360.00%50100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246466.7%14.3%95.8%110.1LUCKY
23MarliesCheckers2200000083541.00081321006974608736777387424152166528112.50%3166.67%01320250252.76%1265243551.95%532103251.55%16741130157952992246477.8%11.0%94.2%105.2LUCKY
24MarliesMonsters40200011912-330.3759152410697460812267773874241138442898900.00%14192.86%01320250252.76%1265243551.95%532103251.55%16741130157952992246445.0%7.4%91.3%98.7DULL
25MarliesMoose1100000042221.0004812006974608356777387424132118234250.00%4175.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246466.7%11.4%93.8%105.2LUCKY
26MarliesGulls1010000014-300.00012300697460834677738742413614821500.00%4175.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246425.0%2.9%88.9%91.8Unlucky
27MarliesStars1010000012-100.0001230069746083467773874241287633500.00%30100.00%01320250252.76%1265243551.95%532103251.55%16741130157952992246433.3%2.9%92.9%95.8DULL
28MarliesPenguins2010100078-120.5007132000697460867677738742416517206011327.27%9366.67%01320250252.76%1265243551.95%532103251.55%16741130157952992246444.4%10.4%87.7%98.1FUN
29MarliesBarracuda1010000024-200.0002460069746083267773874241461514184125.00%7271.43%01320250252.76%1265243551.95%532103251.55%16741130157952992246433.3%6.3%91.3%97.6DULL
30MarliesFirebirds421001001511450.6251528430069746081386777387424113034281058225.00%11190.91%01320250252.76%1265243551.95%532103251.55%16741130157952992246456.5%10.9%91.5%102.4LUCKY
_Vs Division191680112250500411.079508613610697460860467773874241563176187450791417.72%731184.93%01320250252.76%1265243551.95%532103251.55%16741130157952992246448.0%8.3%91.1%99.4Unlucky
_Vs Conference4723160222213611620580.617136249385146974608145867773874241138139538411291743218.39%1592286.16%11320250252.76%1265243551.95%532103251.55%16741130157952992246452.5%9.3%91.6%100.9LUCKY
_Since Last GM Reset6935230333220917237870.630209383592146974608217867773874241209859460916892424619.01%2403386.25%11320250252.76%1265243551.95%532103251.55%16741130157952992246454.0%9.6%91.8%101.4LUCKY
Total6935230333220917237870.630209383592146974608217867773874241209859460916892424619.01%2403386.25%11320250252.76%1265243551.95%532103251.55%16741130157952992246454.0%9.6%91.8%101.4LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 2502
Neutral Zone Start 1032
Defensive Zone Start 2435
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 3117
Faceoffs Lost 2852
Team Average Shots after League Average Shots after
1st Period 9.89.57
2nd Period 20.520.31
3rd Period 31.330.68
Overtime 31.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.11.65
3rd Period 2.92.67
Overtime 3.12.83
Even Strenght Goal 161
PP Goal 46
PK Goal 1
Empty Net Goal 1
Home Away
Win 2021
Lost 1112
Overtime Lost 23
PP Attempt 242
PP Goal 46
PK Attempt 240
PK Goal Against 33
Home
Shots For 31.6
Shots Against 30.4
Goals For 3.0
Goals Against 2.5
Hits 24.5
Shots Blocked 8.6
Pim 8.8
Schedule
DateMatchup Result Detail
2024-10-06MarliesFirebirds@MarliesMarliesFirebirds3,Marlies2RECAP
2024-10-10MarliesMarlies@MarliesRocketMarlies6,Rocket3RECAP
2024-10-12MarliesMarlies@MarliesRocketMarlies6,Rocket1RECAP
2024-10-14MarliesCrunch@MarliesMarliesCrunch1,Marlies2RECAP
2024-10-16MarliesMarlies@MarliesFirebirdsMarlies3,Firebirds4 (OT)RECAP
2024-10-18MarliesAdmirals@MarliesMarliesAdmirals2,Marlies5RECAP
2024-10-21MarliesRocket@MarliesMarliesRocket0,Marlies3RECAP
2024-10-24MarliesMarlies@MarliesGriffinsMarlies1,Griffins4RECAP
2024-10-27MarliesMarlies@MarliesSenatorsMarlies4,Senators2RECAP
2024-10-29MarliesAmericans@MarliesMarliesAmericans4,Marlies6RECAP
2024-10-31MarliesComets@MarliesMarliesComets2,Marlies5RECAP
2024-11-02MarliesMarlies@MarliesAmericansMarlies2,Americans0RECAP
2024-11-03MarliesMarlies@MarliesMonstersMarlies2,Monsters3 (SO)RECAP
2024-11-04MarliesMarlies@MarliesCometsMarlies2,Comets1RECAP
2024-11-07MarliesSenators@MarliesMarliesSenators2,Marlies3 (SO)RECAP
2024-11-11MarliesCheckers@MarliesMarliesCheckers1,Marlies5RECAP
2024-11-13MarliesMarlies@MarliesAdmiralsMarlies4,Admirals1RECAP
2024-11-14MarliesMarlies@MarliesWranglersMarlies5,Wranglers4 (OT)RECAP
2024-11-15MarliesPhantoms@MarliesMarliesPhantoms1,Marlies2RECAP
2024-11-17MarliesMarlies@MarliesCondorsMarlies1,Condors3RECAP
2024-11-19MarliesEagles@MarliesMarliesEagles5,Marlies2RECAP
2024-11-22MarliesMarlies@MarliesWildMarlies4,Wild3RECAP
2024-11-24MarliesMonsters@MarliesMarliesMonsters3,Marlies2RECAP
2024-11-26MarliesMarlies@MarliesMooseMarlies4,Moose2RECAP
2024-11-27MarliesWranglers@MarliesMarliesWranglers1,Marlies3RECAP
2024-11-30MarliesMarlies@MarliesCanucksMarlies1,Canucks3RECAP
2024-12-04MarliesIslanders@MarliesMarliesIslanders2,Marlies1 (OT)RECAP
2024-12-05MarliesMarlies@MarliesRocketMarlies3,Rocket1RECAP
2024-12-10MarliesBruins@MarliesMarliesBruins0,Marlies2RECAP
2024-12-13MarliesMarlies@MarliesFirebirdsMarlies5,Firebirds2RECAP
2024-12-14MarliesRocket@MarliesMarliesRocket4,Marlies1RECAP
2024-12-21MarliesPenguins@MarliesMarliesPenguins3,Marlies4 (OT)RECAP
2024-12-26MarliesMarlies@MarliesRocketMarlies2,Rocket0RECAP
2024-12-27MarliesComets@MarliesMarliesComets2,Marlies3 (OT)RECAP
2024-12-29MarliesSenators@MarliesMarliesSenators2,Marlies1RECAP
2025-01-02MarliesMarlies@MarliesPenguinsMarlies3,Penguins5RECAP
2025-01-04MarliesGriffins@MarliesMarliesGriffins1,Marlies5RECAP
2025-01-06MarliesMarlies@MarliesMonstersMarlies4,Monsters3 (SO)RECAP
2025-01-08MarliesThunderbirds@MarliesMarliesThunderbirds4,Marlies3RECAP
2025-01-09MarliesMarlies@MarliesPhantomsMarlies4,Phantoms1RECAP
2025-01-13MarliesMarlies@MarliesCometsMarlies2,Comets3 (SO)RECAP
2025-01-14MarliesReign@MarliesMarliesReign1,Marlies4RECAP
2025-01-17MarliesMarlies@MarliesStarsMarlies1,Stars2RECAP
2025-01-20MarliesAmericans@MarliesMarliesAmericans3,Marlies5RECAP
2025-01-23MarliesMarlies@MarliesIslandersMarlies1,Islanders2RECAP
2025-01-24MarliesBarracuda@MarliesMarliesBarracuda4,Marlies2RECAP
2025-01-26MarliesMarlies@MarliesGriffinsMarlies3,Griffins1RECAP
2025-01-29MarliesGriffins@MarliesMarliesGriffins3,Marlies4RECAP
2025-01-31MarliesMarlies@MarliesCheckersMarlies3,Checkers2RECAP
2025-02-01MarliesBruins@MarliesMarliesBruins5,Marlies3RECAP
2025-02-05MarliesMarlies@MarliesBruinsMarlies6,Bruins4RECAP
2025-02-06MarliesCrunch@MarliesMarliesCrunch4,Marlies3 (OT)RECAP
2025-02-09MarliesMarlies@MarliesWolvesMarlies4,Wolves3 (SO)RECAP
2025-02-11MarliesMarlies@MarliesRoadrunnersMarlies3,Roadrunners2RECAP
2025-02-12MarliesAdmirals@MarliesMarliesAdmirals2,Marlies5RECAP
2025-02-16MarliesMarlies@MarliesSenatorsMarlies4,Senators1RECAP
2025-02-17MarliesMarlies@MarliesThunderbirdsMarlies0,Thunderbirds4RECAP
2025-02-18MarliesMonsters@MarliesMarliesMonsters3,Marlies1RECAP
2025-02-22MarliesMarlies@MarliesWolf PackMarlies2,Wolf Pack1RECAP
2025-02-25MarliesWolf Pack@MarliesMarliesWolf Pack4,Marlies2RECAP
2025-02-27MarliesIceHogs@MarliesMarliesIceHogs1,Marlies5RECAP
2025-02-28MarliesMarlies@MarliesAmericansMarlies1,Americans2RECAP
2025-03-03MarliesFirebirds@MarliesMarliesFirebirds2,Marlies5RECAP
2025-03-05MarliesMarlies@MarliesCrunchMarlies3,Crunch6RECAP
2025-03-07MarliesMarlies@MarliesBearsMarlies3,Bears4RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
2025-03-10MarliesMarlies@MarliesGullsMarlies1,Gulls4RECAP
2025-03-11MarliesBears@MarliesMarliesBears4,Marlies3RECAP
2025-03-14MarliesMarlies@MarliesCrunchMarlies0,Crunch4RECAP
2025-03-16MarliesCondors@MarliesMarliesCondors2,Marlies4RECAP
2025-03-21MarliesFirebirds@MarliesMarlies
2025-03-27MarliesCrunch@MarliesMarlies
2025-03-30MarliesSilver Knights@MarliesMarlies

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,366,042$ 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
3 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,366,042$ 3,366,042$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
3,052,849$ 18,495$ 2,602,303$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 32 21,242$ 382,356$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
382,356$ 0$ 0$ 0$

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

Defense #1Defense #2Goalie

Transactions



Injuries
Lias Andersson is suspended for 16 more games.
Adam Ruzicka is suspended for 16 more games.

Game Center

Marlies41-23-5, 87pts04Final
Crunch36-26-5, 77pts

Condors39-20-9, 87pts24Final
Marlies41-23-5, 87pts

Condors39-20-9, 87ptsMon, Mar 17
Marlies41-23-5, 87pts

Marlies41-23-5, 87ptsFri, Oct 11
Rocket28-26-11, 67pts

Marlies41-23-5, 87ptsSun, Oct 13
Rocket28-26-11, 67pts

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
Andrew Poturalski
MarliesMarlies
26
GOALS
POINTS
Andrew Poturalski
MarliesMarlies
55
POINTS
WINS
Trent Miner
MarliesMarlies
28
WINS
Expanded Player Leaderboard

Team Stats


Goals For
209
3.03 GFG
Goals Against
172
2.49 GAA
Power Play Percentage
19.0%
46 GF
Penalty Kill Percentage
86.3%
33 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain