MarliesToronto Marlies
23-4-3, 49pts · 2nd in Conference 1
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Hendrix Lapierre0C/RW100.006340827676787268606962666962531506723975,000$/1yrs
Blake Wheeler (C)0RW100.0059437061747379675364616063917815065381,000,000$/1yrs
Patrick Brown0C/LW/RW100.0063437266677272656564596563836315064331,000,000$/1yrs
Nikita Alexandrov0C/LW/RW99.0064417570687065666063616265575015063241,000,000$/4yrs
Jake Lucchini0C100.0055437068637470656163615865625315062301,000,000$/3yrs
Georgii Merkulov0C100.005741736961656466466661606552501506224975,000$/1yrs
Brett Seney0LW99.005246636852706964476558556359541506029975,000$/1yrs
Dominic Toninato0C/RW100.0054486262627069636160585261655915060311,275,000$/3yrs
Jujhar Khaira (A)0C100.0064456760716967606058545958805515060301,250,000$/2yrs
Jani Nyman (R)0RW100.006442656267585762425962596250501505920975,000$/3yrs
Sam Honzek (R)0LW100.006241676262585660425855595950501505720975,000$/3yrs
C.J. Smith0C/LW/RW100.005441656056626057425652575660531505630975,000$/1yrs
Vincent Iorio (R)0D99.006642706668636163405955686150501506222975,000$/3yrs
William Wallinder0D100.006341736566636262406054636050501506122975,000$/2yrs
Dillon Heatherington0D100.0064446760717170604053536458635715061301,000,000$/2yrs
Ronnie Attard (A)0D99.0062496165686765634058586362545015061261,000,000$/4yrs
Tommy Miller0D100.006041726663656257405151645854501505926975,000$/1yrs
Tyson Feist0D100.006441626268615853405151635552501505824975,000$/1yrs
Scratches
Mason Jobst0C100.0053446665577372646262605563655815061313,000,000$/1yrs
Ville Koivunen0RW100.005743626758626162436260596350501506022975,000$/2yrs
Martin Frk0RW100.005244575958656560436059536060531505831975,000$/1yrs
Zac Dalpe0C100.0055426561626867585554545658736915058351,000,000$/1yrs
Carl Berglund0C100.0062407162646462575454525857525015057251,000,000$/1yrs
Carsen Twarynski0LW100.006143696164666359425353565855501505727975,000$/1yrs
Matyas Sapovaliv (R)0C100.005941686063626160415557545850501505721803,333$/2yrs
Ty Glover0C100.006442716267636057465252585752501505724975,000$/1yrs
Chad Hillebrand0C/LW/RW100.0059426358626261564054545656525015056261,000,000$/1yrs
Miko Matikka (R)0RW100.006040675962595755405453545650501505521870,000$/2yrs
Jaydon Dureau0LW100.005540646056575553405151535451501505324975,000$/2yrs
Scooter Brickey0D100.0065416861706461564052516656535015060261,000,000$/1yrs
Anton Malmström0D100.0063407061676259554052526256525015058251,000,000$/1yrs
Garrett Pyke0D100.0059406762626260574054536057525015058251,000,000$/1yrs
Alec Regula0D100.0061425757635755554054526155515015057241,400,000$/1yrs
Darren Brady0D100.0055406459586058534051506054565015056291,000,000$/1yrs
Joakim Ryan0D100.0051416757566565564051525255605315055321,000,000$/1yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Arturs Silovs0100.007469707973717068727267565215065241,100,000$/2yrs
Joel Blomqvist098.007367687671717070737168525015065231,400,000$/4yrs
Scratches
Magnus Chrona0100.00696365696867696667675552501506124975,000$/2yrs
Nikke Kokko0100.00686163646668706869665650501506121975,000$/3yrs
Domenic DiVincentiis0100.00676162656566686666645650501506021975,000$/2yrs
Jiri Patera0100.006660596764626460636353545015058261,000,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato7169717083671USA5711,500,000$
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 MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Hendrix LapierreMarliesMarlies (TOR)C/RW3017234016048119425714.29%1619.5361218000393455.60%101.33041.31
2Brett SeneyMarliesMarlies (TOR)LW3013203322221051106395312.26%1218.06347000131241.38%001.10001.26
3Blake WheelerMarliesMarlies (TOR)RW301912312418104695236520.00%617.8553800005160.53%011.03121.25
4Nikita AlexandrovMarliesMarlies (TOR)C/LW/RW231118291614104678235914.10%919.99268000431056.66%111.26111.40
5Georgii MerkulovMarliesMarlies (TOR)C3011172892354378245214.10%313.65358000102150.49%000.93010.89
6Jake LucchiniMarliesMarlies (TOR)C30101222912104090314811.11%313.36000000231153.93%000.73000.85
7Patrick BrownMarliesMarlies (TOR)C/LW/RW244151983010307020345.71%313.95033000180062.58%000.79010.74
8Dominic ToninatoMarliesMarlies (TOR)C/RW299101981403280253911.25%413.54022101220166.67%000.66000.75
9Ronnie AttardMarliesMarlies (TOR)D30514191977355449221710.20%3924.0623501153100.00%000.63000.43
10Jani NymanMarliesMarlies (TOR)RW3061117640467219488.33%513.1922400003060.00%000.57000.70
11Dillon HeatheringtonMarliesMarlies (TOR)D3011415233810383218173.13%3622.7610101147000.00%000.50000.53
12C.J. SmithMarliesMarlies (TOR)C/LW/RW30851310954541111919.51%913.24000000251055.00%000.43000.53
13Sam HonzekMarliesMarlies (TOR)LW3058136404740182312.50%913.7101100010052.17%000.43000.51
14Jujhar KhairaMarliesMarlies (TOR)C3055106804246122410.87%613.36000000471159.26%000.33000.43
15Vincent IorioMarliesMarlies (TOR)D2801010-24033257100.00%2119.0302200039000.00%000.36110.30
16William WallinderMarliesMarlies (TOR)D301891175323415162.94%2419.6612300049100.00%000.30000.43
17Ville KoivunenMarliesMarlies (TOR)RW13426320203892210.53%413.1100000001070.00%000.46000.70
18Tommy MillerMarliesMarlies (TOR)D3005517140201911100.00%2318.3800000023000.00%000.17000.31
19Tyson FeistMarliesMarlies (TOR)D3012315403128923.57%2116.070000002000.00%000.10000.34
20Alec RegulaMarliesMarlies (TOR)D13011460910430.00%1216.490000009000.00%000.08000.18
21Zac DalpeMarliesMarlies (TOR)C100000020000.00%09.780000000000.00%000.00000.05
Team Total or Average551130212342215316110755115038261811.30%26516.73254570617123470211156.92%1727244187220.74310
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
1Joel BlomqvistMarliesMarlies (TOR)1512100.9212.028330028355179100.00001317201
2Arturs SilovsMarliesMarlies (TOR)1811330.8912.959762048442248201.00061713000
Team Total or Average3323430.9052.5218102076797427301.00063030201
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alec Regula D241,400,000$1,400,000$ RFA
Anton Malmström D251,000,000$1,000,000$ RFA
Arturs Silovs G241,100,000$1,100,000$ 1,100,000$ RFA
Blake Wheeler RW381,000,000$1,000,000$ UFA
Brett Seney LW29975,000$975,000$ UFA
C.J. Smith C/LW/RW30975,000$975,000$ UFA
Carl Berglund C251,000,000$1,000,000$ RFA
Carsen Twarynski LW27975,000$975,000$ UFA
Chad Hillebrand C/LW/RW261,000,000$1,000,000$ RFA
Darren Brady D291,000,000$1,000,000$ UFA
Dillon Heatherington D301,000,000$1,000,000$ 1,000,000$ UFA
Domenic DiVincentiis G21975,000$975,000$ 975,000$ RFA
Dominic Toninato C/RW311,275,000$1,275,000$ 1,275,000$ 1,275,000$ UFA
Garrett Pyke D251,000,000$1,000,000$ RFA
Georgii Merkulov C24975,000$975,000$ RFA
Hendrix Lapierre C/RW23975,000$975,000$ RFA
Jake Lucchini C301,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Jani Nyman RW20975,000$975,000$ 975,000$ 975,000$ RFA
Jaydon Dureau LW24975,000$975,000$ 975,000$ RFA
Jiri Patera G261,000,000$1,000,000$ 1,000,000$ UFA
Joakim Ryan D321,000,000$1,000,000$ UFA
Joel Blomqvist G231,400,000$1,400,000$ 1,400,000$ 1,400,000$ 1,400,000$ RFA
Jujhar Khaira C301,250,000$1,250,000$ 1,250,000$ UFA
Magnus Chrona G24975,000$975,000$ 975,000$ RFA
Martin Frk RW31975,000$975,000$ UFA
Mason Jobst C313,000,000$3,000,000$ UFA
Matyas Sapovaliv C21803,333$975,000$ 975,000$ RFA
Miko Matikka RW21870,000$975,000$ 975,000$ RFA
Nikita Alexandrov C/LW/RW241,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Nikke Kokko G21975,000$975,000$ 975,000$ 975,000$ RFA
Patrick Brown C/LW/RW331,000,000$1,000,000$ UFA
Ronnie Attard D261,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Sam Honzek LW20975,000$975,000$ 975,000$ 975,000$ RFA
Scooter Brickey D261,000,000$1,000,000$ RFA
Tommy Miller D26975,000$975,000$ RFA
Ty Glover C24975,000$975,000$ RFA
Tyson Feist D24975,000$975,000$ RFA
Ville Koivunen RW22975,000$975,000$ 975,000$ RFA
Vincent Iorio D22975,000$975,000$ 975,000$ 975,000$ RFA
William Wallinder D22975,000$975,000$ 975,000$ RFA
Zac Dalpe C351,000,000$1,000,000$ UFA

Lines
Forward Lines


# - Brett Seney


# - Nikita Alexandrov


# - Blake Wheeler


# - Sam Honzek


# - Hendrix Lapierre


# - Jani Nyman


# - Georgii Merkulov


# - Jake Lucchini


# - C.J. Smith


# - Patrick Brown


# - Jujhar Khaira


# - Dominic Toninato

Defensive Pairings


# - Ronnie Attard


# - Dillon Heatherington


# - William Wallinder


# - Vincent Iorio


# - Tyson Feist


# - Tommy Miller

1st Power Play Unit


# - Nikita Alexandrov


# - Hendrix Lapierre


# - Blake Wheeler


# - Ronnie Attard


# - Vincent Iorio

2nd Power Play Unit


# - Brett Seney


# - Georgii Merkulov


# - Jani Nyman


# - William Wallinder


# - Tommy Miller

Goalies


# - Arturs Silovs


# - Joel Blomqvist

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
1MarliesGulls1000010034-110.500358002645532343513743977132333211100.00%4175.00%040369258.24%32455558.38%25046853.42%65136556829959028040.0%8.8%69.2%78.1Unlucky
2MarliesBruins1100000041321.0004590026455323935137439773316414000.00%20100.00%040369258.24%32455558.38%25046853.42%65136556829959028080.0%10.3%97.0%107.2LUCKY
3MarliesAmericans3110001088040.667811190026455321163513743977732857796233.33%11372.73%040369258.24%32455558.38%25046853.42%65136556829959028054.5%6.9%89.0%95.9Unlucky
4MarliesHeat22000000114741.000111930002645532763513743977391021438450.00%30100.00%040369258.24%32455558.38%25046853.42%65136556829959028063.6%14.5%89.7%104.2FUN
5MarliesWolves1000001043121.00046100026455324535137439772682213133.33%110.00%040369258.24%32455558.38%25046853.42%65136556829959028060.0%8.9%88.5%97.4Unlucky
6MarliesCondors1010000035-200.0003580026455323535137439774088215120.00%4175.00%040369258.24%32455558.38%25046853.42%65136556829959028033.3%8.6%87.5%96.1Unlucky
7MarliesCheckers 11100000042221.0004610002645532343513743977809282150.00%20100.00%040369258.24%32455558.38%25046853.42%65136556829959028060.0%11.8%75.0%86.8FUN
8MarliesReign321000001511440.66715233800264553210135137439778328257112216.67%10640.00%040369258.24%32455558.38%25046853.42%65136556829959028072.2%14.9%86.7%101.6FUN
9MarliesRocket32100000127540.667122032002645532119351374397786172162900.00%8187.50%140369258.24%32455558.38%25046853.42%65136556829959028066.7%10.1%91.9%101.9LUCKY
10MarliesAdmirals1100000062421.00061218002645532533513743977261011314125.00%30100.00%040369258.24%32455558.38%25046853.42%65136556829959028071.4%11.3%92.3%103.6LUCKY
11MarliesComets32000100136750.83313213400264553210035137439773717331029333.33%4175.00%040369258.24%32455558.38%25046853.42%65136556829959028066.7%13.0%83.8%96.8FUN
12MarliesBelleville Senators320001001410450.83314203400264553210335137439771134335869333.33%10370.00%040369258.24%32455558.38%25046853.42%65136556829959028061.1%13.6%91.2%104.7LUCKY
13MarliesThunderbirds1100000042221.000459002645532403513743977371523215240.00%4175.00%040369258.24%32455558.38%25046853.42%65136556829959028066.7%10.0%94.6%104.6LUCKY
14MarliesCrunch33000000146861.000142842002645532124351374397792256637228.57%3166.67%040369258.24%32455558.38%25046853.42%65136556829959028070.6%11.3%93.5%104.8LUCKY
15MarliesCanucks2200000074341.0007132000264553269351374397773222039500.00%50100.00%040369258.24%32455558.38%25046853.42%65136556829959028063.6%10.1%94.5%104.7LUCKY
16MarliesSilver Knights1100000041321.000459002645532363513743977188621000.00%3166.67%040369258.24%32455558.38%25046853.42%651365568299590280100.0%11.1%94.4%105.6LUCKY
_Vs Division4122002101798283.500172744002645532145351374397763253512312433.33%5260.00%040369258.24%32455558.38%25046853.42%65136556829959028065.0%11.7%85.7%97.4FUN
_Vs Conference2014200220804733340.850801302100026455327493513743977541176187494501224.00%461078.26%140369258.24%32455558.38%25046853.42%65136556829959028064.8%10.7%91.3%102.0LUCKY
_Since Last GM Reset30214003201267650490.81712620433000264553211243513743977797257314734852327.06%772074.03%140369258.24%32455558.38%25046853.42%65136556829959028064.8%11.2%90.5%101.7FUN
Total30214003201267650490.81712620433000264553211243513743977797257314734852327.06%772074.03%140369258.24%32455558.38%25046853.42%65136556829959028064.8%11.2%90.5%101.7FUN

Puck Time
Offensive Zone 21
Neutral Zone 19
Defensive Zone 18
Puck Time
Offensive Zone Start 692
Neutral Zone Start 468
Defensive Zone Start 555
Puck Time
With Puck 31
Without Puck 28
Faceoffs
Faceoffs Won 977
Faceoffs Lost 738
Team Average Shots after League Average Shots after
1st Period 11.79.57
2nd Period 24.220.31
3rd Period 37.430.68
Overtime 37.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 2.41.65
3rd Period 4.12.67
Overtime 4.22.83
Even Strenght Goal 102
PP Goal 23
PK Goal 1
Empty Net Goal 0
Home Away
Win 1013
Lost 31
Overtime Lost 30
PP Attempt 85
PP Goal 23
PK Attempt 77
PK Goal Against 20
Home
Shots For 37.5
Shots Against 26.6
Goals For 4.2
Goals Against 2.5
Hits 24.5
Shots Blocked 8.6
Pim 10.5
Schedule
DateMatchup Result Detail
Thu, Oct 9MarliesTOR@MarliesBOSTOR4,BOS1RECAP
Sat, Oct 11MarliesTOR@MarliesBUFTOR2,BUF1 (SO)RECAP
Sun, Oct 12MarliesLOS@MarliesTORLOS2,TOR5RECAP
Wed, Oct 15MarliesBUF@MarliesTORBUF5,TOR2RECAP
Fri, Oct 17MarliesTOR@MarliesMTLTOR5,MTL4RECAP
Sun, Oct 19MarliesOTT@MarliesTOROTT3,TOR6RECAP
Wed, Oct 22MarliesVAN@MarliesTORVAN1,TOR3RECAP
Fri, Oct 24MarliesTAM@MarliesTORTAM2,TOR3RECAP
Sun, Oct 26MarliesTOR@MarliesNJDTOR8,NJD1RECAP
Tue, Oct 28MarliesTOR@MarliesMTLTOR6,MTL1RECAP
Thu, Oct 30MarliesTOR@MarliesTAMTOR3,TAM1RECAP
Fri, Oct 31MarliesLOS@MarliesTORLOS3,TOR8RECAP
Sun, Nov 2MarliesTOR@MarliesVANTOR4,VAN3RECAP
Tue, Nov 4MarliesMTL@MarliesTORMTL2,TOR1RECAP
Thu, Nov 6MarliesNJD@MarliesTORNJD1,TOR2RECAP
Fri, Nov 7MarliesTOR@MarliesOTTTOR4,OTT2RECAP
Mon, Nov 10MarliesCAL@MarliesTORCAL2,TOR4RECAP
Wed, Nov 12MarliesNJD@MarliesTORNJD4,TOR3 (OT)RECAP
Fri, Nov 14MarliesTOR@MarliesLOSTOR2,LOS6RECAP
Sat, Nov 15MarliesTOR@MarliesTAMTOR8,TAM3RECAP
Mon, Nov 17MarliesTOR@MarliesNASTOR6,NAS2RECAP
Wed, Nov 19MarliesCAR@MarliesTORCAR3,TOR4 (SO)RECAP
Fri, Nov 21MarliesTOR@MarliesCALTOR7,CAL2RECAP
Sun, Nov 23MarliesCHI@MarliesTORCHI1,TOR4RECAP
Tue, Nov 25MarliesSTL@MarliesTORSTL2,TOR4RECAP
Fri, Nov 28MarliesTOR@MarliesFLOTOR4,FLO2RECAP
Sat, Nov 29MarliesTOR@MarliesBUFTOR4,BUF2RECAP
Mon, Dec 1MarliesOTT@MarliesTOROTT5,TOR4 (OT)RECAP
Thu, Dec 4MarliesANA@MarliesTORANA4,TOR3 (OT)RECAP
Sun, Dec 7MarliesEDM@MarliesTOREDM5,TOR3RECAP
Tue, Dec 9MarliesTOR@MarliesWAS
Thu, Dec 11MarliesPHO@MarliesTOR
Mon, Dec 15MarliesTAM@MarliesTOR
Wed, Dec 17MarliesTOR@MarliesCOL
Thu, Dec 18MarliesTOR@MarliesANA
Fri, Dec 19MarliesWAS@MarliesTOR
Tue, Dec 23MarliesPIT@MarliesTOR
Thu, Dec 25MarliesTOR@MarliesNJD
Sat, Dec 27MarliesTOR@MarliesPHO
Mon, Dec 29MarliesTOR@MarliesMTL
Tue, Dec 30MarliesLOS@MarliesTOR
Fri, Jan 2MarliesPHI@MarliesTOR
Mon, Jan 5MarliesTOR@MarliesANA
Tue, Jan 6MarliesDET@MarliesTOR
Fri, Jan 9MarliesTOR@MarliesOTT
Sun, Jan 11MarliesWPG@MarliesTOR
Tue, Jan 13MarliesTOR@MarliesDET
Wed, Jan 14MarliesCHI@MarliesTOR
Fri, Jan 16MarliesTOR@MarliesCAR
Sun, Jan 18MarliesSEA@MarliesTOR
Wed, Jan 21MarliesTOR@MarliesDAL
Thu, Jan 22MarliesCOL@MarliesTOR
Sun, Jan 25MarliesTOR@MarliesNYI
Mon, Jan 26MarliesBUF@MarliesTOR
Thu, Jan 29MarliesTOR@MarliesBOS
Fri, Jan 30MarliesNAS@MarliesTOR
Mon, Feb 2MarliesS J@MarliesTOR
Tue, Feb 3MarliesTOR@MarliesPHI
Fri, Feb 6MarliesTOR@MarliesPIT
Sat, Feb 7MarliesNYR@MarliesTOR
Tue, Feb 10MarliesTOR@MarliesSTL
Wed, Feb 11MarliesDAL@MarliesTOR
Sat, Feb 14MarliesBOS@MarliesTOR
Mon, Feb 16MarliesTOR@MarliesEDM
Tue, Feb 17MarliesTOR@MarliesWPG
Thu, Feb 19MarliesNYI@MarliesTOR
Sun, Feb 22MarliesMIN@MarliesTOR
Mon, Feb 23MarliesTOR@MarliesMIN
Thu, Feb 26MarliesVAN@MarliesTOR
Fri, Feb 27MarliesTOR@MarliesSEA
Mon, Mar 2MarliesFLO@MarliesTOR
Wed, Mar 4MarliesTOR@MarliesNYR
Fri, Mar 6MarliesMTL@MarliesTOR
Sat, Mar 7MarliesTOR@MarliesVAN
Trade Deadline --- Trades can’t be done after this day is simulated!
Tue, Mar 10MarliesMIN@MarliesTOR
Thu, Mar 12MarliesTOR@MarliesCLB
Sun, Mar 15MarliesCLB@MarliesTOR
Mon, Mar 16MarliesTOR@MarliesCHI
Thu, Mar 19MarliesCLB@MarliesTOR
Sat, Mar 21MarliesTOR@MarliesCLB
Sun, Mar 22MarliesTOR@MarliesCHI
Mon, Mar 23MarliesTOR@MarliesS J

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
4,392,500$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityToronto
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price28$12$$$$
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
25 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
4,392,500$ 4,392,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
2,088,688$ 0$ 1,547,253$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 131 34,867$ 3,765,636$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,765,636$ 0$ 0$ 0$

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

Defense #1Defense #2Goalie

Transactions



Injuries
Sergei Bobrovsky is out for 1 days because of a Exhaustion.

Game Center

Gulls13-14-5, 31pts43Final
Marlies23-4-3, 49pts

Condors14-10-7, 35pts53Final
Marlies23-4-3, 49pts

Condors14-10-7, 35ptsMon, Dec 08
Marlies23-4-3, 49pts

Marlies23-4-3, 49ptsSun, Oct 12
Americans19-7-4, 42pts

Reign16-11-3, 35ptsMon, Oct 13
Marlies23-4-3, 49pts

TRANSACTIONS



 

Team Info

Marlies
Head CoachDon Granato
DivisionNortheast Division
CityToronto
Stadium Capacity3,000

Marlies Affiliation

Marlies
General ManagerChristian Sevigny
Head CoachJim Montgomery
StadiumAir Canada Centre
Capacity18,819

Team Leaders


GOALS
Blake Wheeler
MarliesMarlies
19
GOALS
POINTS
Hendrix Lapierre
MarliesMarlies
40
POINTS
WINS
Joel Blomqvist
MarliesMarlies
12
WINS
Expanded Player Leaderboard

Team Stats


Goals For
126
4.20 GFG
Goals Against
76
2.53 GAA
Power Play Percentage
27.1%
23 GF
Penalty Kill Percentage
74.0%
20 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain