Please rotate your device to landscape mode for a better experience.
Login

Toronto Marlies
GP: 52 | W: 32 | L: 17 | OTL: 3 | P: 67
GF: 219 | GA: 165 | PP%: 21.23% | PK%: 77.78%
GM : | Morale : 40 | Team Overall : 62
Next Games #831 vs Rochester Americans

Game Center
Henderson Silver Knights
30-18-3, 63pts
2
3 Toronto Marlies
32-17-3, 67pts
Team Stats
W1StreakW5
15-8-2Home Record17-10-3
15-10-1Home Record15-7-0
6-4-0Last 10 Games6-4-0
4.57Goals Per Game4.21
3.02Goals Against Per Game3.17
23.31%Power Play Percentage21.23%
77.36%Penalty Kill Percentage77.78%
Colorado Eagles
30-17-3, 63pts
5
7 Toronto Marlies
32-17-3, 67pts
Team Stats
L1StreakW5
17-8-1Home Record17-10-3
13-9-2Home Record15-7-0
5-5-0Last 10 Games6-4-0
3.98Goals Per Game4.21
3.34Goals Against Per Game3.17
24.64%Power Play Percentage21.23%
73.91%Penalty Kill Percentage77.78%
Rochester Americans
40-11-0, 80pts
2026-01-27
Toronto Marlies
32-17-3, 67pts
Team Stats
W6StreakW5
18-7-0Home Record17-10-3
22-4-0Away Record15-7-0
9-1-0Last 10 Games6-4-0
5.10Goals Per Game4.21
2.51Goals Against Per Game4.21
25.73%Power Play Percentage21.23%
78.62%Penalty Kill Percentage77.78%
Toronto Marlies
32-17-3, 67pts
2026-01-29
Coachella Firebirds
24-22-5, 53pts
Team Stats
W5StreakL2
17-10-3Home Record12-12-2
15-7-0Away Record12-10-3
6-4-0Last 10 Games5-4-1
4.21Goals Per Game4.35
3.17Goals Against Per Game4.35
21.23%Power Play Percentage27.66%
77.78%Penalty Kill Percentage74.57%
Toronto Marlies
32-17-3, 67pts
2026-01-31
Abbotsford Canucks
33-14-5, 71pts
Team Stats
W5StreakW5
17-10-3Home Record15-7-2
15-7-0Away Record18-7-3
6-4-0Last 10 Games8-2-0
4.21Goals Per Game5.00
3.17Goals Against Per Game5.00
21.23%Power Play Percentage28.57%
77.78%Penalty Kill Percentage75.00%
Team Leaders
Anders BjorkGoals
Anders Bjork
33
Sam MalinskiAssists
Sam Malinski
39
Owen BeckPoints
Owen Beck
59
Philip KempPlus/Minus
Philip Kemp
44
Matthew MurrayWins
Matthew Murray
30
Matthew MurraySave Percentage
Matthew Murray
0.909

Team Stats
Goals For
219
4.21 GFG
Shots For
2069
39.79 Avg
Power Play Percentage
21.2%
31 GF
Offensive Zone Start
43.7%
Goals Against
165
3.17 GAA
Shots Against
1730
33.27 Avg
Penalty Kill Percentage
77.8%%
38 GA
Defensive Zone Start
37.9%
Team Info

General Manager
DivisionNord
ConferenceEst
CaptainOwen Beck
Assistant #1Lucas Condotta
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team24
Farm Team20
Contract Limit44 / 250
Prospects107


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
1Devin ShoreX100.007238956379778464726559626173745240650301775,000$
2Lucas Condotta (R) (A)X100.007141736381738662656061646268723640640261775,000$
3Mackenzie MacEachernX100.007241746279807563646558616371735240640301775,000$
4Austin PoganskiX100.006839826077768559636158606269744940630281750,000$
5Anders BjorkX100.006337926472747363596057625869714540630281750,000$
6Logan MorrisonX100.006136956470828663686258566163654440630222950,000$
7Owen Beck (R) (C)X100.006939796674807464706258656362617740630203880,000$
8Austin Wagner (R)X100.006740796376817158575556615968705140610271750,000$
9Adam SykoraX100.005935955766828656605856595561636840600203806,666$
10Jakub BrabenecX100.006437925973698058625657555862646340600212828,333$
11Hunter Haight (R)X100.005637866065877259635661555962637340600203918,333$
12Sam MalinskiX100.006537916870848765307063625467683740660261850,000$
13Jarred TinordiX100.008983696298817557306852764674754940660321800,000$
14Hunter DrewX100.007053506179757759305760585167694240610251750,000$
15Philip KempX100.006940755784658358305355594766684740610251775,000$
16Blake Hillman (R)X100.006738945776638056305553544569714040600281750,000$
Scratches
1Alex BeaucageX100.006738905876756757535654555864666340600231750,000$
2Ben Hemmerling (R)X100.005836955667716254515353555461634940580203821,111$
3Samuel KnazkoX100.006838925877647855305754564663656440600221902,500$
4Connor Corcoran (R)X100.006838915577746853305452564565674740590241750,000$
5Jake Furlong (R)X100.006638925575647154305352554661635740580203850,000$
6Ryan Jones (R)X100.006940835578666852305450534569714740580281750,000$
TEAM AVERAGE100.00674185607675775949595659546668524062
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
1Matthew Murray100.00798581777877797877797867775340690261750,000$
2Keith Petruzzelli100.00667571866564666564666566756040620251750,000$
Scratches
TEAM AVERAGE100.0073807682727173727173726776574066
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
1Owen BeckToronto Marlies (TOR)C512138592620081170220531389.55%22102520.112573610801161551254.24%140300001.1503000344
2Sam MalinskiToronto Marlies (TOR)D51143953163204793123468711.38%93126324.779413631330004136110%000000.8400000323
3Anders BjorkToronto Marlies (TOR)LW52331952306032821645511020.12%1579415.27112270000236154.32%8100121.3100000354
4Lucas CondottaToronto Marlies (TOR)LW5122264817391510990229621489.61%16106420.871673712210181615051.22%8200010.9013003281
5Mackenzie MacEachernToronto Marlies (TOR)LW5218274510140118581594912911.32%1380615.5121214311250001251145.16%6200001.1201000131
6Philip KempToronto Marlies (TOR)D5210293944260494066303615.15%60104120.03224211130000981033.33%300000.7500000112
7Logan MorrisonToronto Marlies (TOR)C531721381420241121624311010.49%1087516.523811331270001823153.26%114900010.8703000113
8Austin WagnerToronto Marlies (TOR)LW5110273733235695112144948.26%975314.7800002000000164.00%5000000.9801010111
9Devin ShoreToronto Marlies (TOR)C38102737101004010413031787.69%1271918.94391223890001852057.80%95500001.0301000213
10Alex BeaucageToronto Marlies (TOR)RW3912223423120463488247413.64%783921.542241696000002142.37%5900000.8100000113
11Austin PoganskiToronto Marlies (TOR)RW52112132102407366145371047.59%1087316.790118400000400147.01%11700000.7311000204
12Hunter DrewToronto Marlies (TOR)D5162026368935111377926497.59%55103320.27314361130111108200%000000.5000124000
13Jakub BrabenecToronto Marlies (TOR)C508152314100425569214311.59%44619.2300001000003050.17%58000001.0000000110
14Adam SykoraToronto Marlies (TOR)LW511351812100113472143918.06%43877.6000000000002246.43%2800000.9300000012
15Blake HillmanToronto Marlies (TOR)D51113141720063202913213.45%5380215.7300029000158000%000000.3500000000
16Colton DachToronto Maple LeafsC165914012047517318426.85%533821.1712319480000242054.49%35600000.8300000300
17Samuel KnazkoToronto Marlies (TOR)D44291192006517288177.14%2565714.9500004000018000%200000.3300000000
18Jarred TinordiToronto Marlies (TOR)D8055115530177320%1814818.5101112000016000%000000.6800010001
19Hunter HaightToronto Marlies (TOR)C5044420510236100%011322.6200015000000062.50%800000.7100000000
20Ben HemmerlingToronto Marlies (TOR)RW5101-3003381312.50%18016.16101110000000040.91%2200000.2500000000
21Jake FurlongToronto Marlies (TOR)D1000300000000%077.950000000000000%00000000000000
Team Total or Average82421437659032638660106511441995584133410.73%4321409017.103054843301162123231038311153.74%495700140.84213147242932
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
1Matthew MurrayToronto Marlies (TOR)46301320.9092.7927142212613910200.5569455610
Team Total or Average46301320.9092.7927142212613910209455610


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 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
Adam SykoraToronto Marlies (TOR)LW202004-09-07SVKNo179 Lbs5 ft10NoNoProspectNoNo32024-09-16FalseFalsePro & Farm806,666$0$0$No806,666$806,666$----------------NoNo-------Link / NHL Link
Alex BeaucageToronto Marlies (TOR)RW232001-07-25CANNo192 Lbs6 ft1NoNoTrade2025-10-13NoNo12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Anders BjorkToronto Marlies (TOR)LW281996-08-05USANo190 Lbs6 ft0NoNoN/ANoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Austin PoganskiToronto Marlies (TOR)RW281996-02-16USANo198 Lbs6 ft1NoNoN/ANoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Austin WagnerToronto Marlies (TOR)LW271997-06-23CANYes195 Lbs6 ft1NoNoDraftNoYes12025-07-15FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Ben HemmerlingToronto Marlies (TOR)RW202004-04-21CANYes174 Lbs5 ft11NoNoDraftNoNo32025-07-16FalseFalsePro & Farm821,111$0$0$No821,111$821,111$----------------NoNo-------Link / NHL Link
Blake HillmanToronto Marlies (TOR)D281996-01-26USAYes193 Lbs6 ft1NoNoTrade2025-10-07NoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Connor CorcoranToronto Marlies (TOR)D242000-08-07CANYes185 Lbs6 ft2NoNoDraftNoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Devin ShoreToronto Marlies (TOR)C301994-07-19CANNo206 Lbs6 ft1NoNoWaiverNoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Hunter DrewToronto Marlies (TOR)D251998-10-21CANNo191 Lbs6 ft2NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Hunter HaightToronto Marlies (TOR)C202004-04-04CANYes173 Lbs5 ft10NoNoTrade2025-12-29NoNo32025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$918,333$----------------NoNo-------Link / NHL Link
Jake FurlongToronto Marlies (TOR)D202004-03-04CANYes189 Lbs6 ft1NoNoDraftNoNo32025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$850,000$----------------NoNo-------Link / NHL Link
Jakub BrabenecToronto Marlies (TOR)C212003-09-11CZENo180 Lbs6 ft1NoNoTrade2025-10-13NoNo22024-09-17FalseFalsePro & Farm828,333$0$0$No828,333$-----------------No--------Link / NHL Link
Jarred TinordiToronto Marlies (TOR)D321992-02-20USANo229 Lbs6 ft6NoNoWaiverNoYes12025-07-16FalseFalsePro & Farm800,000$0$0$No---------------------------Link / NHL Link
Keith PetruzzelliToronto Marlies (TOR)G251999-02-09USANo185 Lbs6 ft5NoNoN/ANoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Logan MorrisonToronto Marlies (TOR)C222002-07-09CANNo179 Lbs6 ft0NoNoTrade2025-10-12NoNo22025-07-16FalseFalsePro & Farm950,000$0$0$No950,000$-----------------No--------Link / NHL Link
Lucas CondottaToronto Marlies (TOR)LW261997-11-06CANYes218 Lbs6 ft1NoNoAssign ManuallyNoYes12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Mackenzie MacEachernToronto Marlies (TOR)LW301994-03-09USANo193 Lbs6 ft2NoNoN/ANoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Matthew MurrayToronto Marlies (TOR)G261998-02-02CANNo196 Lbs6 ft1NoNoTrade2025-10-13NoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Owen BeckToronto Marlies (TOR)C202004-02-03CANYes199 Lbs6 ft0NoNoProspectNoNo32025-07-16FalseFalsePro & Farm880,000$0$0$No880,000$880,000$----------------NoNo-------Link / NHL Link
Philip KempToronto Marlies (TOR)D251999-02-12USANo202 Lbs6 ft3NoNoN/ANoYes12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Ryan JonesToronto Marlies (TOR)D281996-05-26USAYes186 Lbs6 ft2NoNoDraftNoYes12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Link / NHL Link
Sam MalinskiToronto Marlies (TOR)D261998-07-27USANo190 Lbs5 ft11NoNoAssign ManuallyNoYes12025-07-16FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Samuel KnazkoToronto Marlies (TOR)D222002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2424.83193 Lbs6 ft11.50800,289$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lucas CondottaDevin ShoreAustin Poganski28113
2Mackenzie MacEachernLogan MorrisonHunter Haight26122
3Anders BjorkOwen BeckAustin Wagner26131
4Adam SykoraJakub BrabenecHunter Haight20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam Malinski30122
2Hunter DrewJarred Tinordi30122
3Blake HillmanPhilip Kemp25122
4Sam Malinski15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lucas CondottaDevin ShoreOwen Beck60122
2Mackenzie MacEachernLogan MorrisonHunter Haight40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam Malinski60122
2Hunter DrewPhilip Kemp40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Owen BeckLucas Condotta60122
2Logan MorrisonDevin Shore40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam Malinski60122
2Hunter DrewJarred Tinordi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Owen Beck60122Sam Malinski60122
2Logan Morrison40122Hunter DrewPhilip Kemp40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Owen BeckLucas Condotta60122
2Devin ShoreLogan Morrison40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam Malinski60122
2Hunter DrewJarred Tinordi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lucas CondottaOwen BeckDevin ShoreSam Malinski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lucas CondottaOwen BeckDevin ShoreSam Malinski
Extra Forwards
Normal PowerPlayPenalty Kill
Devin Shore, Anders Bjork, Owen BeckLogan Morrison, Anders BjorkAustin Poganski
Extra Defensemen
Normal PowerPlayPenalty Kill
Blake Hillman, Jarred Tinordi, Blake HillmanBlake Hillman, Jarred Tinordi
Penalty Shots
Owen Beck, Logan Morrison, Lucas Condotta, Hunter Haight, Devin Shore
Goalie
#1 : Matthew Murray, #2 : Keith Petruzzelli


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 Canucks1010000013-21010000013-20000000000000.000123008371634206336367842845108192150.00%4175.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
2Bakersfield Condors11000000615110000006150000000000021.000611170083716347063363678428113220100.00%10100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
3Belleville Senators11000000642110000006420000000000021.00061218008371634406336367842830128322150.00%3233.33%01132205455.11%948178053.26%43786750.40%13129341167362658333
4Bridgeport Islanders1100000012480000000000011000000124821.00012193100837163466633636784282215016100.00%000%01132205455.11%948178053.26%43786750.40%13129341167362658333
5Calgary Wranglers1000000156-11000000156-10000000000010.5005712008371634546336367842835144253133.33%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
6Charlotte Checkers2110000056-1110000004221010000014-320.500510150083716348463363678428771619515120.00%7357.14%01132205455.11%948178053.26%43786750.40%13129341167362658333
7Chicago Wolves20100001710-31000000134-11010000046-210.250714210083716346563363678428742016437114.29%8275.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
8Cleveland Monsters330000001459110000008352200000062461.00014274100837163496633636784288722264415320.00%11190.91%01132205455.11%948178053.26%43786750.40%13129341167362658333
9Coachella Firebirds11000000523110000005230000000000021.000591400837163440633636784282299195120.00%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
10Colorado Eagles21100000981110000007521010000023-120.500915240083716349363363678428512117595240.00%5260.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
11Grand Rapids Griffins4310000019163211000001112-12200000084460.7501936550083716341596336367842817443289914428.57%14564.29%01132205455.11%948178053.26%43786750.40%13129341167362658333
12Hartford Wolf Pack10001000321100010003210000000000021.0003690083716344363363678428249231300.00%10100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
13Henderson Silver Knights2110000034-1110000003211010000002-220.5003690083716346863363678428682316538112.50%70100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
14Hershey Bears220000001331000000000000220000001331041.000132336008371634876336367842848236437114.29%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
15Iowa Wild1100000010191100000010190000000000021.0001018280083716346663363678428176621000%3166.67%01132205455.11%948178053.26%43786750.40%13129341167362658333
16Laval Rocket30300000417-1320200000310-71010000017-600.000461000837163493633636784281603523779222.22%9544.44%01132205455.11%948178053.26%43786750.40%13129341167362658333
17Lehigh Valley Phantoms21001000963000000000002100100096341.0009162500837163477633636784286214184211327.27%9277.78%01132205455.11%948178053.26%43786750.40%13129341167362658333
18Manitoba Moose211000008711010000034-11100000053220.50081220008371634866336367842846121443300.00%7185.71%01132205455.11%948178053.26%43786750.40%13129341167362658333
19Milwaukee Admirals220000001138110000003211100000081741.000112031008371634856336367842848239423133.33%20100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
20Ontario Reign1010000047-31010000047-30000000000000.0004812008371634236336367842841141217200.00%6266.67%01132205455.11%948178053.26%43786750.40%13129341167362658333
21Providence Bruins2110000010911010000035-21100000074320.5001019290083716347463363678428601310328112.50%4175.00%11132205455.11%948178053.26%43786750.40%13129341167362658333
22Rochester Americans211000004311010000023-11100000020220.5004812018371634696336367842866221845500.00%90100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
23Rockford IceHogs21100000810-2110000006511010000025-320.50081523008371634646336367842882232453100.00%10280.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
24San Jose Barracuda11000000413110000004130000000000021.0004711008371634456336367842823410194250.00%5180.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
25Springfield Thunderbirds11000000312110000003120000000000021.0003580083716346463363678428201225200.00%10100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
26Syracuse Crunch11000000633110000006330000000000021.0006111700837163448633636784282871521400.00%5180.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
27Texas Stars1100000010280000000000011000000102821.0001020300083716346563363678428337828000%30100.00%01132205455.11%948178053.26%43786750.40%13129341167362658333
28Tucson Roadrunners2110000056-1110000003211010000024-220.500510150083716348163363678428622225459444.44%3166.67%01132205455.11%948178053.26%43786750.40%13129341167362658333
29Utica Comets2020000069-32020000069-30000000000000.000612180083716345263363678428963744495120.00%16381.25%01132205455.11%948178053.26%43786750.40%13129341167362658333
30Wilkes-Barre Scranton Penguins32000001963210000017611100000020250.833915240183716349263363678428118353474200.00%12283.33%01132205455.11%948178053.26%43786750.40%13129341167362658333
Total523017020032191655430161001003125105202214701000946034670.644219399618028371634206963363678428173051543311871463121.23%1713877.78%11132205455.11%948178053.26%43786750.40%13129341167362658333
_Since Last GM Reset523017020032191655430161001003125105202214701000946034670.644219399618028371634206963363678428173051543311871463121.23%1713877.78%11132205455.11%948178053.26%43786750.40%13129341167362658333
_Vs Conference2615802001104782614660100151483129201000533023350.67310418929302837163498563363678428898261225582791316.46%892077.53%11132205455.11%948178053.26%43786750.40%13129341167362658333
_Vs Division1566000005458-4935000003539-46310000019190120.400541021560183716345676336367842859514812135747919.15%511766.67%11132205455.11%948178053.26%43786750.40%13129341167362658333

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5267W521939961820691730515433118702
All Games
GPWLOTWOTL SOWSOLGFGA
5230172003219165
Home Games
GPWLOTWOTL SOWSOLGFGA
3016101003125105
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2214710009460
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1463121.23%1713877.78%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
633636784288371634
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1132205455.11%948178053.26%43786750.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13129341167362658333


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
2 - 2025-10-084Laval Rocket7Toronto Marlies1LBox score
5 - 2025-10-1125Toronto Marlies4Grand Rapids Griffins1WBox score
7 - 2025-10-1343Grand Rapids Griffins9Toronto Marlies7LBox score
8 - 2025-10-1449Milwaukee Admirals2Toronto Marlies3WBox score
10 - 2025-10-1661Hartford Wolf Pack2Toronto Marlies3WXBox score
12 - 2025-10-1879Coachella Firebirds2Toronto Marlies5WBox score
15 - 2025-10-2198Utica Comets4Toronto Marlies3LBox score
18 - 2025-10-24123Toronto Marlies2Rochester Americans0WBox score
19 - 2025-10-25132Rochester Americans3Toronto Marlies2LBox score
22 - 2025-10-28151Calgary Wranglers6Toronto Marlies5LXXBox score
23 - 2025-10-29166Toronto Marlies2Cleveland Monsters1WBox score
26 - 2025-11-01188Toronto Marlies5Lehigh Valley Phantoms3WBox score
28 - 2025-11-03199Wilkes-Barre Scranton Penguins4Toronto Marlies3LXXBox score
30 - 2025-11-05213Tucson Roadrunners2Toronto Marlies3WBox score
33 - 2025-11-08234Providence Bruins5Toronto Marlies3LBox score
34 - 2025-11-09246Chicago Wolves4Toronto Marlies3LXXBox score
36 - 2025-11-11256Toronto Marlies7Providence Bruins4WBox score
38 - 2025-11-13269Ontario Reign7Toronto Marlies4LBox score
40 - 2025-11-15291Toronto Marlies2Rockford IceHogs5LBox score
43 - 2025-11-18307Springfield Thunderbirds1Toronto Marlies3WBox score
45 - 2025-11-20319Cleveland Monsters3Toronto Marlies8WBox score
47 - 2025-11-22337Toronto Marlies1Laval Rocket7LBox score
51 - 2025-11-26369Toronto Marlies4Cleveland Monsters1WBox score
53 - 2025-11-28386Toronto Marlies4Hershey Bears1WBox score
54 - 2025-11-29396Toronto Marlies2Wilkes-Barre Scranton Penguins0WBox score
57 - 2025-12-02413Toronto Marlies1Charlotte Checkers4LBox score
59 - 2025-12-04431Toronto Marlies4Chicago Wolves6LBox score
61 - 2025-12-06444Laval Rocket3Toronto Marlies2LBox score
63 - 2025-12-08461Syracuse Crunch3Toronto Marlies6WBox score
66 - 2025-12-11480San Jose Barracuda1Toronto Marlies4WBox score
68 - 2025-12-13499Bakersfield Condors1Toronto Marlies6WBox score
71 - 2025-12-16520Rockford IceHogs5Toronto Marlies6WBox score
73 - 2025-12-18539Toronto Marlies9Hershey Bears2WBox score
75 - 2025-12-20558Toronto Marlies8Milwaukee Admirals1WBox score
76 - 2025-12-21568Toronto Marlies10Texas Stars2WBox score
78 - 2025-12-23575Wilkes-Barre Scranton Penguins2Toronto Marlies4WBox score
82 - 2025-12-27590Belleville Senators4Toronto Marlies6WBox score
83 - 2025-12-28601Toronto Marlies4Grand Rapids Griffins3WBox score
85 - 2025-12-30617Utica Comets5Toronto Marlies3LBox score
87 - 2026-01-01634Manitoba Moose4Toronto Marlies3LBox score
89 - 2026-01-03651Toronto Marlies12Bridgeport Islanders4WBox score
92 - 2026-01-06672Charlotte Checkers2Toronto Marlies4WBox score
94 - 2026-01-08686Toronto Marlies4Lehigh Valley Phantoms3WXBox score
96 - 2026-01-10702Abbotsford Canucks3Toronto Marlies1LBox score
98 - 2026-01-12723Toronto Marlies2Colorado Eagles3LBox score
99 - 2026-01-13733Toronto Marlies2Tucson Roadrunners4LBox score
101 - 2026-01-15748Toronto Marlies0Henderson Silver Knights2LBox score
103 - 2026-01-17762Toronto Marlies5Manitoba Moose3WBox score
105 - 2026-01-19774Iowa Wild1Toronto Marlies10WBox score
107 - 2026-01-21788Grand Rapids Griffins3Toronto Marlies4WBox score
109 - 2026-01-23802Henderson Silver Knights2Toronto Marlies3WBox score
111 - 2026-01-25819Colorado Eagles5Toronto Marlies7WBox score
113 - 2026-01-27831Rochester Americans-Toronto Marlies-
115 - 2026-01-29857Toronto Marlies-Coachella Firebirds-
117 - 2026-01-31869Toronto Marlies-Abbotsford Canucks-
119 - 2026-02-02885Toronto Marlies-Calgary Wranglers-
120 - 2026-02-03891Toronto Marlies-Bakersfield Condors-
142 - 2026-02-25912Toronto Marlies-Syracuse Crunch-
143 - 2026-02-26921Toronto Marlies-Charlotte Checkers-
145 - 2026-02-28939Belleville Senators-Toronto Marlies-
147 - 2026-03-02954Lehigh Valley Phantoms-Toronto Marlies-
149 - 2026-03-04971Toronto Marlies-Utica Comets-
150 - 2026-03-05975Toronto Marlies-Hartford Wolf Pack-
152 - 2026-03-07994Syracuse Crunch-Toronto Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101014Toronto Marlies-Laval Rocket-
157 - 2026-03-121029San Diego Gulls-Toronto Marlies-
159 - 2026-03-141047Toronto Marlies-Rochester Americans-
160 - 2026-03-151060Toronto Marlies-Iowa Wild-
162 - 2026-03-171068Bridgeport Islanders-Toronto Marlies-
165 - 2026-03-201094Chicago Wolves-Toronto Marlies-
166 - 2026-03-211106Toronto Marlies-Belleville Senators-
169 - 2026-03-241120Toronto Marlies-Providence Bruins-
170 - 2026-03-251136Hartford Wolf Pack-Toronto Marlies-
173 - 2026-03-281160Toronto Marlies-Springfield Thunderbirds-
175 - 2026-03-301176Toronto Marlies-San Diego Gulls-
178 - 2026-04-021202Toronto Marlies-San Jose Barracuda-
180 - 2026-04-041217Toronto Marlies-Ontario Reign-
184 - 2026-04-081245Hershey Bears-Toronto Marlies-
185 - 2026-04-091252Toronto Marlies-Bridgeport Islanders-
187 - 2026-04-111270Charlotte Checkers-Toronto Marlies-
189 - 2026-04-131285Texas Stars-Toronto Marlies-
191 - 2026-04-151304Toronto Marlies-Belleville Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-21 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
5,755,443$ 9,603,470$ 9,603,470$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 5,755,443$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 80 50,018$ 4,001,440$




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