Login

Toronto Marlies
GP: 25 | W: 7 | L: 14 | OTL: 4 | P: 18
GF: 52 | GA: 101 | PP%: 11.76% | PK%: 84.00%
GM : Nick Fournier | Morale : 50 | Team Overall : N/A
Next Games #404 vs Rockford IceHogs
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Toronto Marlies
7-14-4, 18pts
0
FINAL
4 Abbotsford Canucks
20-5-0, 40pts
Team Stats
SOW1StreakW4
4-5-3Home Record10-2-0
3-9-1Home Record10-3-0
3-5-2Last 10 Games8-2-0
2.08Goals Per Game3.40
4.04Goals Against Per Game1.00
11.76%Power Play Percentage12.96%
84.00%Penalty Kill Percentage88.78%
Toronto Marlies
7-14-4, 18pts
4
FINAL
3 Manitoba Moose
8-14-2, 18pts
Team Stats
SOW1StreakSOL1
4-5-3Home Record5-7-1
3-9-1Home Record3-7-1
3-5-2Last 10 Games5-4-1
2.08Goals Per Game2.33
4.04Goals Against Per Game4.04
11.76%Power Play Percentage12.90%
84.00%Penalty Kill Percentage84.85%
Toronto Marlies
7-14-4, 18pts
Day 60
Rockford IceHogs
6-17-2, 14pts
Team Stats
SOW1StreakSOW1
4-5-3Home Record5-6-1
3-9-1Away Record1-11-1
3-5-2Last 10 Games4-6-0
2.08Goals Per Game1.84
4.04Goals Against Per Game1.84
11.76%Power Play Percentage4.00%
84.00%Penalty Kill Percentage76.67%
Calgary Wranglers
3-19-2, 8pts
Day 61
Toronto Marlies
7-14-4, 18pts
Team Stats
L7StreakSOW1
1-12-0Home Record4-5-3
2-7-2Away Record3-9-1
1-9-0Last 10 Games3-5-2
1.96Goals Per Game2.08
4.21Goals Against Per Game2.08
3.70%Power Play Percentage11.76%
61.54%Penalty Kill Percentage84.00%
Springfield Thunderbirds
22-0-1, 45pts
Day 64
Toronto Marlies
7-14-4, 18pts
Team Stats
W1StreakSOW1
13-0-0Home Record4-5-3
9-0-1Away Record3-9-1
9-0-1Last 10 Games3-5-2
3.48Goals Per Game2.08
0.83Goals Against Per Game2.08
21.15%Power Play Percentage11.76%
91.67%Penalty Kill Percentage84.00%
Team Leaders

Team Stats
Goals For
52
2.08 GFG
Shots For
623
24.92 Avg
Power Play Percentage
11.8%
6 GF
Offensive Zone Start
31.4%
Goals Against
101
4.04 GAA
Shots Against
1090
43.60 Avg
Penalty Kill Percentage
84.0%%
4 GA
Defensive Zone Start
44.9%
Team Info

General ManagerNick Fournier
DivisionNORTHEAST
ConferenceConference 1
CaptainCody Bass
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,899
Season Tickets300


Roster Info

Pro Team14
Farm Team21
Contract Limit35 / 250
Prospects35


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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Wayne SimmondsXX100.004035406335809040204040403088761150003631,999,999$
2Derek StepanXX100.00403540643580904020404040308473114700343750,000$
3Jonathan DahlenX100.00403540403580904020404040302525115000262750,000$
4Jacob Perreault (R)X100.00624268607176775960585756596264805000221925,000$
5Wade AllisonX100.00786077628184825957566163596869614100262925,000$
6Logan Hutsko (R)X100.00403540613580904020404040306466115000251892,500$
7Filip Cederqvist (R)X100.00744084588378805754565659556466535000241850,000$
8Josh Doan (R)X100.00643788697486766760667263696268764300221925,000$
9Logan Morrison (R)X100.00613695637082726271605866636264535000221870,000$
10Stephen Halliday (R)X100.00773994628671605874655061546364625000221950,000$
11Viktor Neuchev (R)X100.00643795587379705662595755586163665000201870,000$
12Danny DeKeyserX100.00403540623580904020404040307672114700343999,999$
Scratches
TEAM AVERAGE100.0057396760598081524552515247656442480
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Kevin Poulin100.0040908050404040404040407387115000343750,000$
2Landon Bow100.0040908050404040404040402525115000291700,000$
Scratches
TEAM AVERAGE100.004090805040404040404040495611500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


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 NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Danny DeKeyserToronto Marlies (TOR)D341990-03-07USANo183 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm999,999$695,876$0$0$No999,999$999,999$-------600,000$600,000$-------NoNo-------Link
Derek StepanToronto Marlies (TOR)C/RW341990-06-18USANo196 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm750,000$521,907$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Filip CederqvistToronto Marlies (TOR)LW242000-08-23SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$591,495$0$0$No---------------------------Link
Jacob PerreaultToronto Marlies (TOR)RW222002-04-15USAYes192 Lbs5 ft11NoNoTrade2024-01-02NoNo1FalseFalsePro & Farm925,000$643,686$0$0$No---------------------------Link
Jonathan DahlenToronto Marlies (TOR)LW261997-12-20SWENo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$521,907$0$0$No750,000$--------702,020$--------No--------Link
Josh DoanToronto Marlies (TOR)RW222002-02-01USAYes183 Lbs6 ft1NoNoN/ANoNo12024-05-19FalseFalsePro & Farm925,000$643,686$0$0$No---------------------------Link
Kevin PoulinToronto Marlies (TOR)G341990-04-12CANNo206 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$521,907$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Landon BowToronto Marlies (TOR)G291995-08-24CANNo220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$487,113$0$0$No---------------------------Link
Logan HutskoToronto Marlies (TOR)RW251999-01-11USAYes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm892,500$621,070$0$0$No---------------------------Link
Logan MorrisonToronto Marlies (TOR)C222002-07-09CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm870,000$605,412$0$0$No---------------------------Link
Stephen HallidayToronto Marlies (TOR)C222002-07-02CANYes213 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm950,000$661,082$0$0$No---------------------------Link
Viktor NeuchevToronto Marlies (TOR)LW202003-10-25RUSYes165 Lbs6 ft2NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm870,000$605,412$0$0$No---------------------------Link
Wade AllisonToronto Marlies (TOR)RW261997-10-14CANNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$643,686$0$0$No925,000$--------925,000$--------No--------Link
Wayne SimmondsToronto Marlies (TOR)LW/RW361988-07-27CANNo184 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,999,999$1,391,752$0$0$No1,999,999$1,999,999$-------600,000$600,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1426.86191 Lbs6 ft11.71939,821$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
138122
230122
322122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
138122
230122
322122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford Canucks2020000019-81010000015-41010000004-400.00012300221511620197221194257321227800.00%110.00%019449239.43%27270438.64%14437138.81%398271851177277114
2Bakersfield Condors1000000145-1000000000001000000145-110.500481200221511634197221194256023027100.00%000%019449239.43%27270438.64%14437138.81%398271851177277114
3Belleville Senators1000010034-11000010034-10000000000010.50036900221511627197221194255914231200.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
4Bridgeport Islanders10000010541000000000001000001054121.00058130022151163619722119425451844211100.00%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
5Calgary Wranglers10001000541100010005410000000000021.000510150022151164519722119425561302411100.00%000%019449239.43%27270438.64%14437138.81%398271851177277114
6Charlotte Checkers11000000321110000003210000000000021.00036900221511639197221194252711431300.00%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
7Chicago Wolves1000000123-11000000123-10000000000010.500246002215116919722119425408213300.00%110.00%019449239.43%27270438.64%14437138.81%398271851177277114
8Coachella Valley Firebirds1010000016-5000000000001010000016-500.00012300221511612197221194254510414000%20100.00%119449239.43%27270438.64%14437138.81%398271851177277114
9Colorado Eagles2020000038-5000000000002020000038-500.000369002215116501972211942595350375120.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
10Hershey Bears11000000422110000004220000000000021.000481200221511638197221194253710228100.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
11Laval Rocket2010100025-3000000000002010100025-320.50024600221511648197221194255319441200.00%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
12LeHigh Valley Phantoms1000010023-11000010023-10000000000010.50024600221511624197221194256310233100.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
13Manitoba Moose10000010431000000000001000001043121.000461000221511658197221194256215225000%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
14Milwaukee Admirals1010000024-2000000000001010000024-200.0002460022151162819722119425459410000%20100.00%019449239.43%27270438.64%14437138.81%398271851177277114
15Providence Bruins30300000614-81010000045-12020000029-700.00061117002215116801972211942514837861400.00%30100.00%019449239.43%27270438.64%14437138.81%398271851177277114
16Rochester Americans20200000111-1020200000111-100000000000000.000123002215116211972211942556268205120.00%4250.00%019449239.43%27270438.64%14437138.81%398271851177277114
17Rockford IceHogs11000000413110000004130000000000021.000481200221511636197221194254092344250.00%10100.00%019449239.43%27270438.64%14437138.81%398271851177277114
18Utica Comets20200000013-131010000005-51010000008-800.000000002215116181972211942586275281000.00%000%019449239.43%27270438.64%14437138.81%398271851177277114
Total253140222252101-491235012012945-161309010212356-33180.36052991510022151166231972211942510903155552651611.76%25484.00%119449239.43%27270438.64%14437138.81%398271851177277114
_Since Last GM Reset253140222252101-491235012012945-161309010212356-33180.36052991510022151166231972211942510903155552651611.76%25484.00%119449239.43%27270438.64%14437138.81%398271851177277114
_Vs Conference1628012213264-32924002011935-16704010201329-16130.40632599100221511639819722119425676195433533226.25%18383.33%019449239.43%27270438.64%14437138.81%398271851177277114
_Vs Division606011001325-1240300100813-520301000512-730.2501324370022151161251972211942527173151441616.25%5180.00%019449239.43%27270438.64%14437138.81%398271851177277114

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2518SOW1529915162310903155552600
All Games
GPWLOTWOTL SOWSOLGFGA
25314222252101
Home Games
GPWLOTWOTL SOWSOLGFGA
123512012945
Visitor Games
GPWLOTWOTL SOWSOLGFGA
130910212356
Last 10 Games
WLOTWOTL SOWSOL
250111
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
51611.76%25484.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
197221194252215116
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
19449239.43%27270438.64%14437138.81%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
398271851177277114


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
29Providence Bruins5Toronto Marlies4LBoxScore
624Toronto Marlies4Bakersfield Condors5LXXBoxScore
733Toronto Marlies2Colorado Eagles4LBoxScore
1054Belleville Senators4Toronto Marlies3LXBoxScore
1266Toronto Marlies1Providence Bruins5LBoxScore
1483Rochester Americans5Toronto Marlies0LBoxScore
1591Toronto Marlies1Providence Bruins4LBoxScore
17108Toronto Marlies1Colorado Eagles4LBoxScore
20123Calgary Wranglers4Toronto Marlies5WXBoxScore
23145Toronto Marlies5Bridgeport Islanders4WXXBoxScore
24155Rockford IceHogs1Toronto Marlies4WBoxScore
26170Toronto Marlies2Milwaukee Admirals4LBoxScore
28184Abbotsford Canucks5Toronto Marlies1LBoxScore
31208Utica Comets5Toronto Marlies0LBoxScore
34228Toronto Marlies2Laval Rocket1WXBoxScore
37243Toronto Marlies0Utica Comets8LBoxScore
38252Rochester Americans6Toronto Marlies1LBoxScore
40276LeHigh Valley Phantoms3Toronto Marlies2LXBoxScore
43295Toronto Marlies0Laval Rocket4LBoxScore
45310Charlotte Checkers2Toronto Marlies3WBoxScore
46323Toronto Marlies1Coachella Valley Firebirds6LBoxScore
48342Chicago Wolves3Toronto Marlies2LXXBoxScore
52364Hershey Bears2Toronto Marlies4WBoxScore
54371Toronto Marlies0Abbotsford Canucks4LBoxScore
58390Toronto Marlies4Manitoba Moose3WXXBoxScore
60404Toronto Marlies-Rockford IceHogs-
61413Calgary Wranglers-Toronto Marlies-
64432Springfield Thunderbirds-Toronto Marlies-
68461Toronto Marlies-Wilkes-Barre/Scranton Penguins-
70472San Diego Gulls-Toronto Marlies-
72484Toronto Marlies-Milwaukee Admirals-
74499Toronto Marlies-Providence Bruins-
75507Manitoba Moose-Toronto Marlies-
78526Toronto Marlies-Bridgeport Islanders-
80538Iowa Wild-Toronto Marlies-
85548Toronto Marlies-Manitoba Moose-
88570Abbotsford Canucks-Toronto Marlies-
90588Toronto Marlies-Belleville Senators-
91599Tucson Roadrunners-Toronto Marlies-
94614Toronto Marlies-Grand Rapids Griffins-
97633Milwaukee Admirals-Toronto Marlies-
99650Toronto Marlies-Bakersfield Condors-
100662Bakersfield Condors-Toronto Marlies-
103683Toronto Marlies-Ontario Reign-
104696Laval Rocket-Toronto Marlies-
106712Toronto Marlies-Belleville Senators-
108726Toronto Marlies-San Jose Barracuda-
110741Texas Stars-Toronto Marlies-
113760Cleveland Monsters-Toronto Marlies-
115778Toronto Marlies-Hartford Wolf Pack-
117791Hartford Wolf Pack-Toronto Marlies-
122823Syracuse Crunch-Toronto Marlies-
126845Bridgeport Islanders-Toronto Marlies-
127857Toronto Marlies-Charlotte Checkers-
142876San Jose Barracuda-Toronto Marlies-
143889Toronto Marlies-Chicago Wolves-
147911Wilkes-Barre/Scranton Penguins-Toronto Marlies-
149924Toronto Marlies-Colorado Eagles-
151943Belleville Senators-Toronto Marlies-
153959Toronto Marlies-LeHigh Valley Phantoms-
156971Belleville Senators-Toronto Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
159991Toronto Marlies-Hershey Bears-
1621006Laval Rocket-Toronto Marlies-
1671024Toronto Marlies-Henderson Silver Knights-
1681031Toronto Marlies-Syracuse Crunch-
1701038Toronto Marlies-Calgary Wranglers-
1721051Rockford IceHogs-Toronto Marlies-
1751076Utica Comets-Toronto Marlies-
1801096Providence Bruins-Toronto Marlies-
1831112Toronto Marlies-Rochester Americans-
1901133Providence Bruins-Toronto Marlies-
1921146Toronto Marlies-Rochester Americans-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance23,09111,699
Attendance PCT96.21%97.49%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 2899 - 96.64% 96,728$1,160,731$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
425,425$ 1,315,750$ 955,202$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
6,782$ 425,425$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,321,462$ 135 6,782$ 915,570$




Toronto Marlies Players Stat Leaders (Regular Season)

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

Toronto Marlies Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Toronto Marlies Career Team Stats

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

Toronto Marlies Players Stat Leaders (Play-Off)

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

Toronto Marlies Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA