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Toronto Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : | Morale : 40 | Team Overall : 62

Team Leaders

Team Stats
Team Info

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


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team20
Farm Team19
Contract Limit39 / 250
Prospects113


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10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Luke EvangelistaX100.0060349076718688755078656377656772406902200$
2Austin PoganskiX100.0068389165777887636764616266707548406502800$
3Mackenzie MacEachernX100.0072417062798172615967636163727439406403000$
4Logan MorrisonX100.006138876570858662676463616564664340640221950,000$
5Dylan RoobroeckX100.008853725897808757605659645562644940630202850,000$
6Owen Beck (C)X100.006839826674808862676058646162657740630202880,000$
7Lucas Condotta (A)X100.0071516858817386566157596256697436406202600$
8Jakub BrabenecX100.006438885973748356605857555963656140610211828,333$
9Hunter HaightX100.006336866065838459625761565863647340610202918,333$
10Hunter DrewX100.0070555358797782575156595455687042406002500$
11Sam MalinskiX100.0065349371708790673075646653686936406802600$
12Jarred TinordiX100.0089826357986673553054536245747645406203200$
13Blake HillmanX100.0067389556766476553054535745707239406002800$
14Philip KempX100.0075427656846583543053555746677242406002500$
Scratches
1Adam SykoraX100.006837916271828759615865635962646840630202806,666$
2Filip HallanderX100.005636926678826263506457656266676440630241500,000$
3Ben HemmerlingX100.005836945767767556545958555762644940600202821,111$
4Dominik BadinkaX100.007140925580668654305352564661637740590181500,000$
5Jake FurlongX100.006641735775657455305654584662645740590202850,000$
6Chase PietilaX100.006948655578658554305351564562646140580201500,000$
TEAM AVERAGE100.00684381617776825949605860566668544062
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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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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)LW202004-09-07SVKNo193 Lbs5 ft11NoNoProspectNoNo22024-09-16FalseFalsePro & Farm806,666$0$0$No806,666$-----------------No--------Link / NHL Link
Austin PoganskiToronto Marlies (TOR)RW281996-02-16USANo198 Lbs6 ft1NoNoN/ANoNo02025-07-15FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Ben HemmerlingToronto Marlies (TOR)RW202004-04-21CANNo174 Lbs5 ft11NoNoDraftNoNo22025-07-16FalseFalsePro & Farm821,111$0$0$No821,111$-----------------No--------Link / NHL Link
Blake HillmanToronto Marlies (TOR)D281996-01-26USANo193 Lbs6 ft1NoNoTrade2025-10-07NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Chase PietilaToronto Marlies (TOR)D202004-03-03USANo186 Lbs6 ft2NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Link / NHL Link
Dominik BadinkaToronto Marlies (TOR)D182005-11-27CZENo183 Lbs6 ft3NoNoProspectNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Link / NHL Link
Dylan RoobroeckToronto Marlies (TOR)C202004-07-27CANNo207 Lbs6 ft7NoNoTrade2026-02-28NoNo22025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$-----------------No--------Link / NHL Link
Filip HallanderToronto Marlies (TOR)C242000-06-29SWENo203 Lbs6 ft1NoNoDraftNoNo12026-06-10FalseFalsePro & Farm500,000$0$0$No---------------------------Link / NHL Link
Hunter DrewToronto Marlies (TOR)RW251998-10-21CANNo191 Lbs6 ft2NoNoN/ANoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Hunter HaightToronto Marlies (TOR)C202004-04-04CANNo173 Lbs5 ft10NoNoTrade2025-12-29NoNo22025-07-16FalseFalsePro & Farm918,333$0$0$No918,333$-----------------No--------Link / NHL Link
Jake FurlongToronto Marlies (TOR)D202004-03-04CANNo189 Lbs6 ft1NoNoDraftNoNo22025-07-16FalseFalsePro & Farm850,000$0$0$No850,000$-----------------No--------Link / NHL Link
Jakub BrabenecToronto Marlies (TOR)C212003-09-11CZENo180 Lbs6 ft1NoNoTrade2025-10-13NoNo12024-09-17FalseFalsePro & Farm828,333$0$0$No---------------------------Link / NHL Link
Jarred TinordiToronto Marlies (TOR)D321992-02-20USANo229 Lbs6 ft6NoNoWaiverNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Logan MorrisonToronto Marlies (TOR)C222002-07-09CANNo179 Lbs6 ft0NoNoTrade2025-10-12NoNo12025-07-16FalseFalsePro & Farm950,000$0$0$No---------------------------Link / NHL Link
Lucas CondottaToronto Marlies (TOR)LW261997-11-06CANNo218 Lbs6 ft1NoNoAssign ManuallyNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Luke EvangelistaToronto Marlies (TOR)RW222002-02-21CANNo183 Lbs6 ft0NoNoTrade2025-11-13NoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Mackenzie MacEachernToronto Marlies (TOR)LW301994-03-09USANo193 Lbs6 ft2NoNoN/ANoNo02024-09-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Owen BeckToronto Marlies (TOR)C202004-02-03CANNo199 Lbs6 ft0NoNoProspectNoNo22025-07-16FalseFalsePro & Farm880,000$0$0$No880,000$-----------------No--------Link / NHL Link
Philip KempToronto Marlies (TOR)D251999-02-12USANo202 Lbs6 ft3NoNoN/ANoNo02024-09-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Sam MalinskiToronto Marlies (TOR)D261998-07-27USANo190 Lbs5 ft11NoNoAssign ManuallyNoNo02025-07-16FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2023.35193 Lbs6 ft10.85420,222$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lucas CondottaLuke Evangelista27113
2Mackenzie MacEachernDylan Roobroeck26122
3Austin PoganskiLogan MorrisonOwen Beck24122
4Jakub BrabenecHunter Haight23122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam MalinskiJarred Tinordi30122
2Hunter DrewPhilip Kemp30122
3Blake Hillman25122
4Sam MalinskiJarred Tinordi15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lucas CondottaLuke Evangelista60122
2Mackenzie MacEachernDylan RoobroeckAustin Poganski40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lucas Condotta60122
2Dylan RoobroeckMackenzie MacEachern40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Sam MalinskiJarred Tinordi60122
2Dylan Roobroeck40122Hunter DrewPhilip Kemp40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lucas Condotta60122
2Dylan RoobroeckMackenzie MacEachern40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sam MalinskiJarred Tinordi60122
2Hunter DrewPhilip Kemp40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lucas CondottaSam MalinskiJarred Tinordi
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mackenzie MacEachernDylan RoobroeckAustin PoganskiHunter DrewPhilip Kemp
Extra Forwards
Normal PowerPlayPenalty Kill
Austin Poganski, , Dylan RoobroeckAustin Poganski, Austin Poganski
Extra Defensemen
Normal PowerPlayPenalty Kill
Philip Kemp, Blake Hillman, Philip KempPhilip Kemp, Blake Hillman
Penalty Shots
Luke Evangelista, , Lucas Condotta, Mackenzie MacEachern, Austin Poganski
Goalie
#1 : , #2 :


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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
OverallHome Visitor
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
9 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,202,220$ 4,202,220$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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