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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 : Albin Cöster | Morale : 50 | Team Overall : 56

Team Leaders

Team Stats
Team Info

General ManagerAlbin Cöster
CoachSheldon Keefe
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team20
Farm Team19
Contract Limit39 / 60
Prospects18


Team History

This Season0-0-0 (0PTS)
History143-109-42 (0.486%)
Playoff Appearances2
Playoff Record (W-L)16 - 13 (0.552%)
Stanley Cup0


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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.
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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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Curtis Douglas0X100.00829573677855747439666353454444050610251775,000$
2Brian Halonen0X100.00826788627257806345636558575249050590261775,000$
3Owen Pickering0X100.00623489606150885825555275494444050570212886,667$
4Topias Vilen0X100.00653691616150855825575070484545050570221836,667$
Scratches
1Nick Abruzzese0XX100.005632956452508265556661585650480505702600$
2Trey Fix-Wolansky0X100.006961776353509063456066515850480505702600$
3Jagger Joshua0X100.007763795764509057455857585152490505602600$
4Bradley Marek0X100.007459815562508456555455584948470505502500$
5Carson Bantle0X100.007258835263508051455353604646460505402300$
6Shawn Element0X100.006754855456507254755257565050480505302500$
7Cooper Walker0X100.005833935357507353755452554745450505202300$
8Reece Vitelli0X100.006334894657505643415045533946460504902400$
9Jake Christiansen0X100.007539946370567360255853763652460506102600$
10Isaak Phillips0X100.006454876061508858255555695046460505702400$
11William Villeneuve0X100.006655836158508557255850674746460505602300$
12Andrew Perrott0X100.008073735261508048254947664246460505502400$
TEAM AVERAGE100.0070538558625180574257556148484605056
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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
# Goalie Name #CON PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Artur Akhtyamov0100.0069634875666359586279585246050630241851,667$
2Ty Young0100.0064534478585859536061504643050580212825,000$
Scratches
1Cameron Whitehead0100.00625344795555545157595048440505602200$
2Scott Ratzlaff (R)0100.00625143765654555057595046430505602000$
TEAM AVERAGE100.006455457759585753596552484405058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Sheldon Keefe60508050996050CAN471500,000$


Filter Tips
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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
# 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
Andrew PerrottToronto Marlies (TOR)D242001-12-31USANo202 Lbs6 ft0NoNoFree AgentNoNo02025-09-11FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Artur AkhtyamovToronto Marlies (TOR)G242001-12-31RUSNo167 Lbs6 ft1NoNoFree AgentNoNo12025-08-20FalseFalsePro & Farm851,667$0$0$No---------------------------Link / NHL Link
Bradley MarekToronto Marlies (TOR)RW252000-12-31USANo201 Lbs6 ft1NoNoFree AgentNoNo02025-09-22FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Brian HalonenToronto Marlies (TOR)LW261999-12-31USANo207 Lbs6 ft0NoNoFree Agent2024-09-26NoNo12025-08-21FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Cameron WhiteheadToronto Marlies (TOR)G222003-12-31CANNo192 Lbs6 ft3NoNoFree AgentNoNo02025-08-23FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Carson BantleToronto Marlies (TOR)LW232002-12-31USANo191 Lbs6 ft3NoNoFree AgentNoNo02025-09-20FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Cooper WalkerToronto Marlies (TOR)C232002-12-31CANNo165 Lbs6 ft0NoNoFree AgentNoNo02025-08-24FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Curtis DouglasToronto Marlies (TOR)C252000-12-31CANNo242 Lbs6 ft9NoNoFree AgentNoNo12025-08-26FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Isaak PhillipsToronto Marlies (TOR)D242001-12-31CANNo174 Lbs6 ft3NoNoFree Agent2025-02-28NoNo02025-08-26FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Jagger JoshuaToronto Marlies (TOR)LW261999-12-31USANo210 Lbs6 ft3NoNoFree AgentNoNo02025-09-24FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Jake ChristiansenToronto Marlies (TOR)D261999-12-31CANNo193 Lbs6 ft0NoNoFree AgentNoNo02025-09-11FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Nick AbruzzeseToronto Marlies (TOR)C/LW261999-12-31USANo155 Lbs5 ft8NoNoFree AgentNoNo02024-08-10FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Owen PickeringToronto Marlies (TOR)D212004-12-31CANNo175 Lbs6 ft3NoNoFree AgentNoNo22025-08-24FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Link / NHL Link
Reece VitelliToronto Marlies (TOR)RW242001-12-31CANNo177 Lbs5 ft11NoNoFree AgentNoNo02025-09-22FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Scott RatzlaffToronto Marlies (TOR)G202005-12-31CANYes188 Lbs6 ft1NoNoDraftNoNo02026-06-06FalseFalsePro & Farm0$0$No---------------------------Link
Shawn ElementToronto Marlies (TOR)C252000-12-31CANNo179 Lbs5 ft10NoNoFree AgentNoNo02025-08-26FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Topias VilenToronto Marlies (TOR)D222003-12-31FINNo195 Lbs6 ft1NoNoFree AgentNoNo12024-08-13FalseFalsePro & Farm836,667$0$0$No---------------------------Link / NHL Link
Trey Fix-WolanskyToronto Marlies (TOR)RW261999-12-31CANNo165 Lbs5 ft8NoNoTrade2024-09-30NoNo02024-08-11FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Ty YoungToronto Marlies (TOR)G212004-12-31CANNo184 Lbs6 ft3NoNoFree AgentNoNo22025-08-23FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Link / NHL Link
William VilleneuveToronto Marlies (TOR)D232002-12-31CANNo162 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2023.80186 Lbs6 ft10.40247,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brian HalonenCurtis Douglas49122
225122
315122
4Curtis Douglas11122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen Pickering56122
224122
320122
4Owen Pickering0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brian HalonenCurtis Douglas50122
250122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen Pickering50122
250122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Curtis DouglasBrian Halonen50122
250122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen Pickering50122
250122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Curtis Douglas50122Owen Pickering50122
25012250122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Curtis DouglasBrian Halonen50122
250122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen Pickering50122
250122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brian HalonenCurtis DouglasOwen Pickering
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brian HalonenCurtis DouglasOwen Pickering
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , Brian Halonen, Curtis Douglas,
Goalie
#1 : Artur Akhtyamov, #2 : Ty Young
Custom OT Lines Forwards
, , Brian Halonen, Curtis Douglas, , , , , ,
Custom OT Lines Defensemen
, Owen Pickering, , ,


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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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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 Price3218
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 495,001$ 495,001$ 500,000$0$
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
1Brett Seney2146493157-927630731853611.94%79395818.5019294836101715456.52%00.79614
2Curtis Douglas2925768125-1972969651342413.44%109524717.971517324400039554.01%00.48613
3Michael Amadio148586412245618316752311.09%55272918.442332555400076845.82%20.89220
4Walker Duehr2925762119-51804443206578.68%90472116.1747113520255341.29%00.5027
5Joey Anderson148545911331461721695479.87%66254517.2015243940000010440.00%00.89824

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
1Erik Kallgren1468745140.9202.128768410310386121991050.78383
2Artur Akhtyamov662826120.8992.8938864118718440120.75016
3Alex Stalock722532140.8953.1542132122121021375030.71031
4Ty Young102400.8853.14458002420900000
5Luke Richardson21100.9143.0311900670400100

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
Regular Season
202276332506174167161638191103032887513381414031427986-79716725642316277255211983499727735622006690175316251975929.95%1845470.65%2710141450.21%761146152.09%48792952.42%151074515277661582791
2023722921054852021762636151202241106921436149032449684129320232352554407673172378770806781621979643157516261814022.10%1103964.55%0729150748.37%554120246.09%49999750.05%155685313986991438704
202472173304846191248-573611170231298120-22366160253493128-35641913195103137846210192553468967360217871941014551022928.43%1063963.21%3648120853.64%539105351.19%544101353.70%142772214826991483749
20257218300101022188216-2836111206511104959367180451184121-37721883365242174574514196567562362360206661855814771754425.14%2475776.92%31263230654.77%1188221453.66%608111254.68%174611641637547996503
Total Regular Season29297109025232117748801-5314656520131096396382141464157012131211352419-67326748123419821112178289235628251247828452812244822926704296618365517226.26%64718970.79%83350643552.06%3042593051.30%2138405152.78%623934846045271255002748
Playoff
2022624000001115-43210000065130300000510-5411223300235114039504921644811011812433.33%20860.00%0369737.11%6412551.20%327145.07%117541176213065
2023231490000075591612840000043311211650000032284287511218710154018279824727824330724230835544541935.19%451468.89%028051854.05%25248352.17%16836446.15%514287465221457225
Total Playoff2916130000086741215105000004936131468000003738-1328613422010174323393828632829232888278945662662334.85%652266.15%031661551.38%31660851.97%20043545.98%631341582283588291

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
1Joey Anderson29132336132528301329.85%1255319.0765111400002036.84%01.3000
2Brett Seney291417311112741437917.72%947616.45178200018158.42%01.3000
3Michael Amadio2971219-3103130808.75%1352318.04369400020041.94%00.7300
4Tim Gettinger29711181110959344316.28%850917.56336500050036.11%00.7100
5Bobby McMann296814-28145464114.63%1449317.01279800040148.15%00.5700

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
1Erik Kallgren28151020.9202.36170400678384621100
2Luke Richardson21100.8783.969100649240000