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MarliesToronto
Marlies
44-33-5, 93pts · 5th in EST
Roster
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Philipp Kurashev23C/LW/RW100.006236917072819468716669677363640507123837,500$/2yrs
Parker Kelly75C/LW100.008341696672798864596268716463650507123826,667$/3yrs
Michael Pezzetta55C/LW100.008179606681788462566264576264660506925843,750$/2yrs
Oskar Steen62C/RW100.007437886669828564726561626365660506925866,667$/3yrs
Ty Dellandrea10C/RW100.0075388267738388657763596066626405069221,400,833$/2yrs
Gemel Smith64C/LW/RW100.007271746371847562806659645867700506829784,500$/2yrs
Curtis Douglas28C100.007883675699748658685957645662640506823841,667$/3yrs
Trey Fix-Wolansky46RW100.006238806463868263646162606364650506723837,500$/2yrs
Eduards Tralmaks68C/LW/RW100.006938815788737958645960625665670506726750,000$/1yrs
Gabriel Bourque50LW100.006339735872779556605857595772740506632750,000$/1yrs
Givani Smith54LW/RW100.0084836056837478575558595661636505066251,219,000$/2yrs
Akil Thomas41C/RW100.006237905869827657665659555862630506422910,833$/2yrs
Nikita Okhotiuk82D100.007936706176818562306362605562640506922905,000$/3yrs
Jordan Spence53D100.006437836667898165306762645261620506922919,167$/3yrs
Reilly Walsh8D100.005836866971828566306756595163650506823925,000$/2yrs
Ryan Merkley6D100.0062398168728386653066575850626405068221,163,333$/2yrs
Vladislav Kolyachonok92D100.006737906176828159306057585261630506621905,000$/3yrs
Darren Raddysh43D100.0067398356768183573059566349666805066271,001,667$/3yrs
Scratches
Jonatan Berggren52C/LW/RW65.686237846971898568736762566962640506922925,000$/3yrs
Jonathan Gruden45LW100.006134745769728156595758535762640506322802,500$/2yrs
Curtis Hall20C100.006438915283727453585455515362640506222925,000$/3yrs
Ryan Chyzowski13C100.006437915872686256635259535762640506222750,000$/1yrs
Dmitry Zavgorodniy89RW100.005636925764666756515453525962640506022780,000$/1yrs
Nick Cicek59D100.007543685884688157306254594762640506622840,000$/3yrs
Alexander Peters14D100.007143655690686359305854614566680506526750,000$/1yrs
Will Reilly44D100.007139785380687152305453564565670506225816,250$/1yrs
Dawson Barteaux56D100.006538925374626655305352544562640506023783,333$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Felix Sandstrom32100.00747776797372747372747365730507526963,333$/3yrs
Alex D'Orio33100.00707273826968706968706963690507223750,000$/1yrs
Scratches
Kevin Mandolese70100.00687069826766686766686762670507022861,667$/2yrs
Filip Lindberg31100.00686667726766686766686763690506924925,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Félix Potvin75757575757575Can5150$
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 MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Ty DellandreaMarliesMarlies (TOR)C/RW822048681630069245732128.16%1116.155172201171251.82%000.83020.87
2Oskar SteenMarliesMarlies (TOR)C/RW8231356652601132836717510.95%1416.5181422112475150.75%000.80010.86
3Jonatan BerggrenMarliesMarlies (TOR)C/LW/RW76323466-5140532435918113.17%1217.3061218000206258.06%110.87010.87
4Ryan MerkleyMarliesMarlies (TOR)D82952612036010211839817.63%8119.2351722011142100.00%000.74000.70
5Michael PezzettaMarliesMarlies (TOR)C/LW82253257-2540228272521679.19%1317.625121700013137.17%000.70110.73
6Gemel SmithMarliesMarlies (TOR)C/LW/RW8228245216300682135615013.15%2213.861110211231566154.82%000.63000.71
7Eduards TralmaksMarliesMarlies (TOR)C/LW/RW82212849624080146258614.38%712.72791600001048.78%100.60000.57
8Jordan SpenceMarliesMarlies (TOR)D8211384912940179108265310.19%13220.71022000218310.00%000.60000.48
9Nikita OkhotiukMarliesMarlies (TOR)D79938472122028175263812.00%11821.46325011223000.00%000.59000.37
10Reilly WalshMarliesMarlies (TOR)D82103646-75008912233848.20%8219.196111702293000.00%000.56000.44
11Philipp KurashevMarliesMarlies (TOR)C/LW/RW32132740-1009134411089.70%1120.813912000512051.06%011.25121.23
12Trey Fix-WolanskyMarliesMarlies (TOR)RW83172138-316057184661309.24%2814.54437000282046.93%000.46130.50
13Vladislav KolyachonokMarliesMarlies (TOR)D809273671404852184217.31%10318.88022112259110.00%000.45000.43
14Curtis DouglasMarliesMarlies (TOR)C821121327455115101378510.89%1613.400111012542050.33%000.39020.33
15Parker KellyMarliesMarlies (TOR)C/LW32111526-316012712237879.02%918.62101000173048.98%000.81020.89
16Givani SmithMarliesMarlies (TOR)LW/RW82991853601309938569.09%910.60459000910052.17%000.22110.26
17Darren RaddyshMarliesMarlies (TOR)D732161864801435120243.92%10516.50000000232000.00%000.25000.25
18Akil ThomasMarliesMarlies (TOR)C/RW50281042023812205.26%710.140220001420140.82%000.20000.22
19Gabriel BourqueMarliesMarlies (TOR)LW3111222016111129.09%25.4200000050140.00%000.06000.10
20Nick CicekMarliesMarlies (TOR)D34022-2260494320.00%126.8800000012000.00%000.0600-0.06
21Alexander PetersMarliesMarlies (TOR)D1000-10021000.00%417.700000001000.00%000.0000-0.03
Team Total or Average139127151278384685519602622729179310.34%79815.9968128196219049132008361151.26%529300220.70415
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
1Felix SandstromMarliesMarlies (TOR)59332130.9103.3433404118620710100.842195329116
2Alex D'OrioMarliesMarlies (TOR)104210.8953.5053220312960010.00001016011
Team Total or Average69372340.9083.3638726121723670110.842196345127
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Akil Thomas C/RW22910,833$910,833$ 910,833$ RFA
Alex D'Orio G23750,000$750,000$ RFA
Alexander Peters D26750,000$750,000$ UFA
Curtis Douglas C23841,667$850,000$ 837,500$ 837,500$ RFA
Curtis Hall C22925,000$925,000$ 925,000$ 925,000$ RFA
Darren Raddysh D271,001,667$1,480,000$ 762,500$ 762,500$ UFA
Dawson Barteaux D23783,333$783,333$ 783,333$ RFA
Dmitry Zavgorodniy RW22780,000$780,000$ RFA
Eduards Tralmaks C/LW/RW26750,000$750,000$ UFA
Felix Sandstrom G26963,333$1,340,000$ 775,000$ 775,000$ UFA
Filip Lindberg G24925,000$925,000$ 925,000$ RFA
Gabriel Bourque LW32750,000$700,000$ UFA
Gemel Smith C/LW/RW29784,500$819,000$ 750,000$ UFA
Givani Smith LW/RW251,219,000$1,688,000$ 750,000$ UFA
Jonatan Berggren C/LW/RW22925,000$925,000$ 925,000$ 925,000$ RFA
Jonathan Gruden LW22802,500$802,500$ 802,500$ RFA
Jordan Spence D22919,167$919,167$ 919,167$ 919,167$ RFA
Kevin Mandolese G22861,667$861,667$ 861,667$ RFA
Michael Pezzetta C/LW25843,750$937,500$ 750,000$ UFA
Nick Cicek D22840,000$850,000$ 835,000$ 835,000$ RFA
Nikita Okhotiuk D22905,000$905,000$ 905,000$ 905,000$ RFA
Oskar Steen C/RW25866,667$1,000,000$ 800,000$ 800,000$ UFA
Parker Kelly C/LW23826,667$955,000$ 762,500$ 762,500$ RFA
Philipp Kurashev C/LW/RW23837,500$925,000$ 750,000$ RFA
Reilly Walsh D23925,000$925,000$ 925,000$ RFA
Ryan Chyzowski C22750,000$750,000$ RFA
Ryan Merkley D221,163,333$1,163,333$ 1,163,333$ RFA
Trey Fix-Wolansky RW23837,500$925,000$ 750,000$ RFA
Ty Dellandrea C/RW221,400,833$1,400,833$ 1,400,833$ RFA
Vladislav Kolyachonok D21905,000$905,000$ 905,000$ 905,000$ RFA
Will Reilly D25816,250$816,250$ RFA

Lines
Forward Lines


# - Philipp Kurashev


# - Parker Kelly


# - Oskar Steen


# - Gabriel Bourque


# - Curtis Douglas


# - Akil Thomas


# - Michael Pezzetta


# - Ty Dellandrea


# - Eduards Tralmaks


# - Givani Smith


# - Gemel Smith


# - Trey Fix-Wolansky

Defensive Pairings


# - Nikita Okhotiuk


# - Jordan Spence


# - Reilly Walsh


# - Ryan Merkley


# - Vladislav Kolyachonok


# - Darren Raddysh

1st Power Play Unit


# - Philipp Kurashev


# - Parker Kelly


# - Oskar Steen


# - Nikita Okhotiuk


# - Jordan Spence

2nd Power Play Unit


# - Givani Smith


# - Gemel Smith


# - Ty Dellandrea


# - Reilly Walsh


# - Ryan Merkley

Goalies


# - Felix Sandstrom


# - Alex D'Orio

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
1MarliesCheckers6420000026161080.66726507601121919510201975956102860199615216222522.73%26484.62%01635308453.02%1670320052.19%718141650.71%192513051967620107253463.6%12.9%92.0%104.9LUCKY
2MarliesAmericans631001102622490.75026467200121919510243975956102860224645416215746.67%26580.77%01635308453.02%1670320052.19%718141650.71%192513051967620107253452.8%10.7%90.2%100.9FUN
3MarliesBinghamton Senateurs633000002525060.50025446900121919510226975956102860253884215912325.00%21861.90%01635308453.02%1670320052.19%718141650.71%192513051967620107253456.4%11.1%90.1%101.2FUN
4MarliesBears21100000138520.5001324370012191951095975956102860652112659111.11%6183.33%01635308453.02%1670320052.19%718141650.71%192513051967620107253463.2%13.7%87.7%101.4FUN
5MarliesRockets615000001421-720.1671424380012191951019197595610286021866701471317.69%33681.82%01635308453.02%1670320052.19%718141650.71%192513051967620107253446.4%7.3%90.4%97.7Unlucky
6MarliesProvidence Bruins623001002123-250.41721375800121919510238975956102860231514412625520.00%20480.00%21635308453.02%1670320052.19%718141650.71%192513051967620107253445.7%8.8%90.0%98.9Unlucky
7MarliesWolves422000001519-440.50015274200121919510163975956102860140413610924937.50%18572.22%01635308453.02%1670320052.19%718141650.71%192513051967620107253430.0%9.2%86.4%95.6FUN
8MarliesEagles2110000055020.50051015001219195107997595610286074912528225.00%60100.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253437.5%6.3%93.2%99.6DULL
9MarliesPhantoms2100010098130.7509172600121919510699759561028606813124611545.45%6183.33%01635308453.02%1670320052.19%718141650.71%192513051967620107253436.4%13.0%88.2%101.3FUN
10MarliesWolf Pack302010001013-320.33310162600121919510106975956102860125282494900.00%12283.33%01635308453.02%1670320052.19%718141650.71%192513051967620107253447.6%9.4%89.6%99.0FUN
11Marliesislanders2110000098120.500915240012191951073975956102860742218677228.57%9277.78%11635308453.02%1670320052.19%718141650.71%192513051967620107253453.8%12.3%89.2%101.5FUN
12MarliesIceHogs1010000048-400.0004711001219195103897595610286046710325360.00%5340.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253416.7%10.5%82.6%93.1FUN
13MarliesGriffins623000102423160.50024416500121919510226975956102860217616813620525.00%32971.88%11635308453.02%1670320052.19%718141650.71%192513051967620107253457.6%10.6%89.4%100.0FUN
14MarliesMonsters31001010158761.000152540001219195109897595610286010117277814428.57%10190.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253461.1%15.3%92.1%107.4LUCKY
15MarliesBarracuda1000100043121.0004812001219195103297595610286033111031300.00%4175.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253466.7%12.5%90.9%103.4FUN
16MarliesCondors1010000023-100.000246001219195102197595610286049191222200.00%6266.67%01635308453.02%1670320052.19%718141650.71%192513051967620107253466.7%9.5%93.9%103.4LUCKY
17MarliesIowa Wild1010000024-200.0002460012191951029975956102860361212296116.67%5180.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253425.0%6.9%88.9%95.8Unlucky
18MarliesReign2200000095441.000917260012191951054975956102860652116526116.67%8275.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253472.7%16.7%92.3%109.0LUCKY
19MarliesThunderbirds2100010077030.750714210012191951063975956102860662624409222.22%12191.67%01635308453.02%1670320052.19%718141650.71%192513051967620107253445.5%11.1%89.4%100.5FUN
20MarliesWranglers1000100043121.00048120012191951041975956102860381810257228.57%40100.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253440.0%9.8%92.1%101.9LUCKY
21MarliesGulls1000000145-110.5004711001219195103397595610286045171228200.00%6183.33%01635308453.02%1670320052.19%718141650.71%192513051967620107253450.0%12.1%88.9%101.0FUN
22MarliesTexas Stars1100000065121.00061117001219195104097595610286036158226233.33%4250.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253457.1%15.0%86.1%101.1FUN
23MarliesCanucks1010000025-300.0002460012191951045975956102860299828200.00%4175.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253433.3%4.4%82.8%87.2Unlucky
24MarliesComets321000001011-140.667101626001219195101319759561028601212828696116.67%13376.92%01635308453.02%1670320052.19%718141650.71%192513051967620107253452.9%7.6%90.9%98.5Unlucky
25MarliesW-B/Scranton Penguins2100100096341.00091625001219195108297595610286067198686116.67%40100.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253457.1%11.0%91.0%102.0FUN
26MarliesRoadrunners1100000032121.0003690012191951041975956102860521415194125.00%5260.00%01635308453.02%1670320052.19%718141650.71%1925130519676201072534100.0%7.3%96.2%103.5DULL
27MarliesCrunch642000002319480.66723456810121919510214975956102860209534613112541.67%23578.26%11635308453.02%1670320052.19%718141650.71%192513051967620107253456.3%10.7%90.9%101.7FUN
28MarliesAdmirals1010000014-300.00012300121919510319759561028603541421100.00%7185.71%01635308453.02%1670320052.19%718141650.71%192513051967620107253425.0%3.2%88.6%91.8Unlucky
29MarliesMoose1010000024-200.000235001219195102897595610286036131627100.00%8275.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253450.0%7.1%88.9%96.0Unlucky
30MarliesSilver Knights1100000064221.00061218001219195103497595610286048108207228.57%4175.00%01635308453.02%1670320052.19%718141650.71%192513051967620107253457.1%17.6%91.7%109.3LUCKY
31MarliesFirebirds1100000051421.00051015001219195103597595610286035510175360.00%5180.00%01635308453.02%1670320052.19%718141650.71%1925130519676201072534100.0%14.3%97.1%111.4LUCKY
_Vs Division4219190022015914910440.524159287446111219195101539975956102860155144437610231193126.05%1814177.35%41635308453.02%1670320052.19%718141650.71%192513051967620107253454.2%10.3%90.4%100.7FUN
_Vs Conference6328260333024923019710.563249443692111219195102356975956102860231263354116192055426.34%2595678.38%51635308453.02%1670320052.19%718141650.71%192513051967620107253452.8%10.6%90.1%100.6FUN
_Since Last GM Reset8236330543131529817930.567315570885111219195103000975956102860303584373820842797326.16%3527778.13%51635308453.02%1670320052.19%718141650.71%192513051967620107253452.3%10.5%90.2%100.7FUN
Total8236330543131529817930.567315570885111219195103000975956102860303584373820842797326.16%3527778.13%51635308453.02%1670320052.19%718141650.71%192513051967620107253452.3%10.5%90.2%100.7FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 3084
Neutral Zone Start 1416
Defensive Zone Start 3200
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 4023
Faceoffs Lost 3677
Team Average Shots after League Average Shots after
1st Period 11.99.57
2nd Period 23.520.31
3rd Period 36.130.68
Overtime 36.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.50.64
2nd Period 2.61.65
3rd Period 3.72.67
Overtime 3.92.83
Even Strenght Goal 236
PP Goal 73
PK Goal 5
Empty Net Goal 1
Home Away
Win 2222
Lost 1617
Overtime Lost 32
PP Attempt 279
PP Goal 73
PK Attempt 352
PK Goal Against 77
Home
Shots For 36.6
Shots Against 37.0
Goals For 3.8
Goals Against 3.6
Hits 25.4
Shots Blocked 10.3
Pim 9.0
Schedule
DateMatchup Result Detail
Tue, Oct 18MarliesMAR@MarliesSYRMAR3,SYR2RECAP
Thu, Oct 20MarliesSYR@MarliesMARSYR1,MAR3RECAP
Fri, Oct 21MarliesLVL@MarliesMARLVL4,MAR3RECAP
Wed, Oct 26MarliesBNG@MarliesMARBNG3,MAR2RECAP
Thu, Oct 27MarliesMAR@MarliesPROMAR6,PRO2RECAP
Mon, Oct 31MarliesROC@MarliesMARROC5,MAR4 (OT)RECAP
Thu, Nov 3MarliesMAR@MarliesROCMAR5,ROC2RECAP
Sat, Nov 5MarliesMAR@MarliesGRGMAR4,GRG1RECAP
Sun, Nov 6MarliesBRI@MarliesMARBRI4,MAR7RECAP
Wed, Nov 9MarliesMAR@MarliesLVLMAR3,LVL4RECAP
Thu, Nov 10MarliesMAR@MarliesCHAMAR6,CHA2RECAP
Sat, Nov 12MarliesGRG@MarliesMARGRG3,MAR4 (SO)RECAP
Tue, Nov 15MarliesCHA@MarliesMARCHA3,MAR2RECAP
Fri, Nov 18MarliesPRO@MarliesMARPRO4,MAR3 (OT)RECAP
Tue, Nov 22MarliesMAR@MarliesBNGMAR5,BNG4RECAP
Wed, Nov 23MarliesPRO@MarliesMARPRO4,MAR1RECAP
Fri, Nov 25MarliesMAR@MarliesHARMAR2,HAR5RECAP
Mon, Nov 28MarliesWBS@MarliesMARWBS3,MAR5RECAP
Wed, Nov 30MarliesMAR@MarliesIOWMAR2,IOW4RECAP
Sat, Dec 3MarliesCLE@MarliesMARCLE1,MAR6RECAP
Sun, Dec 4MarliesMAR@MarliesBNGMAR4,BNG7RECAP
Wed, Dec 7MarliesRFD@MarliesMARRFD8,MAR4RECAP
Sat, Dec 10MarliesMAR@MarliesBNGMAR2,BNG3RECAP
Tue, Dec 13MarliesBNG@MarliesMARBNG5,MAR7RECAP
Wed, Dec 14MarliesMAR@MarliesBRIMAR2,BRI4RECAP
Sat, Dec 17MarliesGRG@MarliesMARGRG3,MAR2RECAP
Mon, Dec 19MarliesMAR@MarliesLEVMAR6,LEV4RECAP
Tue, Dec 20MarliesMAR@MarliesBAKMAR2,BAK3RECAP
Thu, Dec 22MarliesTUC@MarliesMARTUC2,MAR3RECAP
Mon, Dec 26MarliesLVL@MarliesMARLVL6,MAR2RECAP
Thu, Dec 29MarliesMAR@MarliesGRGMAR4,GRG6RECAP
Sat, Dec 31MarliesMAR@MarliesSDGMAR4,SDG5 (SO)RECAP
Mon, Jan 2MarliesMAR@MarliesSJBMAR4,SJB3 (OT)RECAP
Tue, Jan 3MarliesHER@MarliesMARHER6,MAR5RECAP
Sat, Jan 7MarliesFCV@MarliesMARFCV1,MAR5RECAP
Tue, Jan 10MarliesBNG@MarliesMARBNG3,MAR5RECAP
Wed, Jan 11MarliesMAR@MarliesSPRMAR4,SPR5 (OT)RECAP
Sun, Jan 15MarliesHEN@MarliesMARHEN4,MAR6RECAP
Mon, Jan 16MarliesMAR@MarliesABBMAR2,ABB5RECAP
Tue, Jan 17MarliesUTI@MarliesMARUTI5,MAR2RECAP
Mon, Jan 23MarliesCHW@MarliesMARCHW5,MAR2RECAP
Wed, Jan 25MarliesMAR@MarliesHERMAR8,HER2RECAP
Thu, Jan 26MarliesONT@MarliesMARONT3,MAR5RECAP
Fri, Jan 27MarliesMAR@MarliesROCMAR2,ROC4RECAP
Sun, Jan 29MarliesUTI@MarliesMARUTI4,MAR5RECAP
Tue, Jan 31MarliesPRO@MarliesMARPRO3,MAR2RECAP
Thu, Feb 2MarliesMAR@MarliesTEXMAR6,TEX5RECAP
Sun, Feb 5MarliesMAR@MarliesLVLMAR3,LVL1RECAP
Tue, Feb 7MarliesCHW@MarliesMARCHW6,MAR1RECAP
Thu, Feb 9MarliesMAR@MarliesROCMAR7,ROC5RECAP
Sat, Feb 11MarliesMAN@MarliesMARMAN4,MAR2RECAP
Tue, Feb 14MarliesMAR@MarliesGRGMAR5,GRG6RECAP
Wed, Feb 15MarliesMAR@MarliesLVLMAR2,LVL4RECAP
Fri, Feb 17MarliesONT@MarliesMARONT2,MAR4RECAP
Mon, Feb 20MarliesMAR@MarliesUTIMAR3,UTI2RECAP
Tue, Feb 21MarliesEAG@MarliesMAREAG2,MAR3RECAP
Thu, Feb 23MarliesMAR@MarliesEAGMAR2,EAG3RECAP
Fri, Feb 24MarliesLVL@MarliesMARLVL2,MAR1RECAP
Tue, Feb 28MarliesMAR@MarliesCHWMAR6,CHW5RECAP
Thu, Mar 2MarliesCHA@MarliesMARCHA2,MAR6RECAP
Sat, Mar 4MarliesSPR@MarliesMARSPR2,MAR3RECAP
Wed, Mar 8MarliesMAR@MarliesPROMAR4,PRO7RECAP
Fri, Mar 10MarliesMAR@MarliesSYRMAR3,SYR1RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sat, Mar 11MarliesCHA@MarliesMARCHA4,MAR7RECAP
Wed, Mar 15MarliesGRG@MarliesMARGRG4,MAR5RECAP
Fri, Mar 17MarliesMAR@MarliesHARMAR3,HAR4RECAP
Sun, Mar 19MarliesWRA@MarliesMARWRA3,MAR4 (OT)RECAP
Thu, Mar 23MarliesMAR@MarliesCHWMAR6,CHW3RECAP
Fri, Mar 24MarliesLEV@MarliesMARLEV4,MAR3 (OT)RECAP
Mon, Mar 27MarliesMAR@MarliesSYRMAR6,SYR3RECAP
Wed, Mar 29MarliesHAR@MarliesMARHAR4,MAR5 (OT)RECAP
Sat, Apr 1MarliesMAR@MarliesPROMAR5,PRO3RECAP
Sun, Apr 2MarliesROC@MarliesMARROC2,MAR3 (SO)RECAP
Tue, Apr 4MarliesMAR@MarliesCHAMAR1,CHA5RECAP
Wed, Apr 5MarliesMAR@MarliesCLEMAR4,CLE3 (OT)RECAP
Fri, Apr 7MarliesMAR@MarliesMILMAR1,MIL4RECAP
Sat, Apr 8MarliesSYR@MarliesMARSYR6,MAR4RECAP
Mon, Apr 10MarliesMAR@MarliesCLEMAR5,CLE4 (SO)RECAP
Wed, Apr 12MarliesROC@MarliesMARROC4,MAR5RECAP
Fri, Apr 14MarliesMAR@MarliesCHAMAR4,CHA0RECAP
Sun, Apr 16MarliesMAR@MarliesWBSMAR4,WBS3 (OT)RECAP
Mon, Apr 17MarliesSYR@MarliesMARSYR6,MAR4RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
2,849,241$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityToronto
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
Attendance5978539383
Attendance PCT72.91%96.06%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2419 - 80.62% 97,512$3,997,996$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
2,849,241$ 2,663,517$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
483,822$ 0$ 483,822$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,318$ 0$

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

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

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Marlies44-33-5, 93pts43Final
W-B/Scranton Penguins32-38-12, 76pts

Crunch27-47-8, 62pts64Final
Marlies44-33-5, 93pts

Crunch27-47-8, 62ptsTue, Apr 18
Marlies44-33-5, 93pts

Crunch27-47-8, 62ptsFri, Oct 21
Marlies44-33-5, 93pts

Rockets53-23-6, 112ptsSat, Oct 22
Marlies44-33-5, 93pts

TRANSACTIONS



 

Team Info

Marlies
Head CoachFélix Potvin
DivisionATLANTIQUE
CityToronto
Stadium Capacity3,000

Marlies Affiliation

Marlies
General ManagerMartin Couture
Head CoachEric Lindros
StadiumScotia Bank Arena
Capacity17,000

Team Leaders


GOALS
Jonatan Berggren
MarliesMarlies
32
GOALS
POINTS
Ty Dellandrea
MarliesMarlies
68
POINTS
WINS
Felix Sandstrom
MarliesMarlies
33
WINS
Expanded Player Leaderboard

Team Stats


Goals For
315
3.84 GFG
Goals Against
298
3.63 GAA
Power Play Percentage
26.2%
73 GF
Penalty Kill Percentage
78.1%
77 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain