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Toronto Marlies
GP: 4 | W: 0 | L: 4
GF: 7 | GA: 15 | PP%: 31.25% | PK%: 58.33%
GM : Alexandre Dame | Morale : 15 | Team Overall : 58

Game Center
Chicago Wolves
8-6-0, 16pts
2
0 Toronto Marlies
0-4-0, 0pts
Team Stats
L3StreakL4
4-3-0Home Record0-2-0
4-3-0Home Record0-2-0
4-5-1Last 10 Games0-4-0
2.64Goals Per Game1.75
2.57Goals Against Per Game3.75
53.33%Power Play Percentage31.25%
74.07%Penalty Kill Percentage58.33%
Chicago Wolves
8-6-0, 16pts
4
2 Toronto Marlies
0-4-0, 0pts
Team Stats
L3StreakL4
4-3-0Home Record0-2-0
4-3-0Home Record0-2-0
4-5-1Last 10 Games0-4-0
2.64Goals Per Game1.75
2.57Goals Against Per Game3.75
53.33%Power Play Percentage31.25%
74.07%Penalty Kill Percentage58.33%
Team Leaders
Goals
Michael Amadio
2
Assists
Nils Hoglander
3
Points
Joshua Ho-Sang
3
Plus/Minus
David Reinbacher
0
Wins
Dan Vladar
0
Save Percentage
Dan Vladar
0.892

Team Stats
Goals For
7
1.75 GFG
Shots For
67
16.75 Avg
Power Play Percentage
31.3%
5 GF
Offensive Zone Start
36.2%
Goals Against
15
3.75 GAA
Shots Against
93
23.25 Avg
Penalty Kill Percentage
58.3%%
5 GA
Defensive Zone Start
39.4%
Team Info

General ManagerAlexandre Dame
DivisionNORD-EST
ConferenceConference 1
CaptainMax Lajoie
Assistant #1Mitchell Stephens
Assistant #2


Arena Info

Capacity3,000
Attendance2,311
Season Tickets300


Roster Info

Pro Team33
Farm Team20
Contract Limit53 / 59
Prospects26


Filter Tips
PriorityTypeDescription
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Michael Amadio0X100.0070359371778387688167696366727151506302732,600,000$
2Nils Hoglander0X100.0071338374668089725166706371666972506302311,100,000$
3Joshua Ho-Sang0X100.006036836770817573537270556872727050620282775,000$
4Jackson Blake (R)0X100.005634887068837569596466616862656350600201775,000$
5Klim Kostin0X100.0082677265937776646263616664686574506002412,000,000$
6Rafael Harvey-Pinard0X100.0066369367658076635864617662656847506002521,100,000$
7Samuel Helenius0X100.008248746593738662716160645863656850600212880,000$
8Jack Finley0X100.008251826196777863696058645963656950590211863,333$
9Landon Slaggert0X100.0063378566707976645862596561636466505802121,350,000$
10Marc-Edouard Vlasic0X100.0062369065788675623066647452927932506203713,250,000$
11Will Borgen0X100.0077727966848890633071587650717050506202732,700,000$
12Denton Mateychuk (R)0X100.006136897169877368306963655861658550610191775,000$
13Nick Blankenburg0X100.006736856865878066306962765267683750610252825,000$
14Ryker Evans0X100.007340826973888568307360645265667450610221925,000$
15Philippe Myers0X100.008354746793847965306260665168703650610273775,000$
16Justin Holl0X100.0069378966858381623067536948757342506003223,400,000$
17Max Lajoie (C)0X100.007038846476788462306554634868704850590261775,000$
Scratches
1Mitchell Stephens (A)0X100.006638896275788558786059675668706450580273775,000$
2Ty Ronning0X100.006336906165907859595761555968704550570261775,000$
3Tyler Benson0X100.006338876072767859656357586266687350570261863,333$
4Connor Bunnaman0X100.006940865981838455715158566067695650560261775,000$
5Samuel Honzek (R)0X100.007339895884797057605655595762638450560191775,000$
6Ty Mueller (R)0X100.006136886069807259696058635962646550560211775,000$
7Matej Pekar0X100.006542706274766558676150565364666150550241863,334$
8David Goyette (R)0X100.005637885865697056635755545861636850540201775,000$
9Gavin Hayes (R)0X100.006437945773816854585655575361636750540191775,000$
10Jakub Stancl (R)0X100.007539945684696054595350585260626450540191775,000$
11Antti Saarela (R)0X100.006037935669676453585455525763655850530222925,000$
12David Reinbacher0X100.0076427965856864623060596452616388505801922,085,000$
TEAM AVERAGE100.00684185647680776253625963576667615059
Filter Tips
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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 SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Dan Vladar0100.008580759184838584838584698154506102612,200,000$
2Jakub Dobes0100.00788783897776787776787764715550570222925,000$
3Dennis Hildeby0100.00778682987675777675777664715750560221843,333$
Scratches
1Talyn Boyko (R)0100.00697167946867696867696863696050520211775,000$
TEAM AVERAGE100.0077817793767577767577766573575057
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
1Joshua Ho-SangToronto Marlies (TOR)RW4123-3005193711.11%37719.3011211000000000%021000.7800000000
2Marc-Edouard VlasicToronto Marlies (TOR)D4123-4202481112.50%410025.1311261400008000%013000.6000000000
3Michael AmadioToronto Marlies (TOR)RW4213-42067124616.67%38721.81112412000000028.57%730000.6900000000
4Nils HoglanderToronto Marlies (TOR)LW4033-320269370%29824.71022312000080038.46%1331000.6100000000
5Rafael Harvey-PinardToronto Marlies (TOR)LW4213-3204752740.00%18320.76112110000050057.14%730000.7200000000
6Samuel HeleniusToronto Marlies (TOR)C4033-240765110%38020.05022210000040054.72%5301000.7500000000
7Klim KostinToronto Marlies (TOR)C4022-380846110%29122.77022312000040044.32%8802000.4400000000
8Will BorgenToronto Marlies (TOR)D3101-3208531133.33%37826.1110111300008000%011000.2600000000
9Jack FinleyToronto Marlies (TOR)C4000-320371230%16115.2500010000020043.75%161000000000000
10Denton MateychukToronto Marlies (TOR)D4000-100440300%28120.310000900005000%00200000000000
11Nick BlankenburgToronto Marlies (TOR)D4000000422010%17418.570000800004000%00200000000000
12David ReinbacherToronto Marlies (TOR)D1000000000000%066.800000000000000%00000000000000
13Jackson BlakeToronto Marlies (TOR)RW4000-100403030%05814.550000000000000%00200000000000
14Ryker EvansToronto Marlies (TOR)D4000-100112110%15313.500000000000000%00000000000000
15Landon SlaggertToronto Marlies (TOR)LW1000-200121120%01616.7000000000000050.00%21000000000000
16Justin HollToronto Marlies (TOR)D4000-300211020%15413.730000100003000%01000000000000
17Max LajoieToronto Marlies (TOR)D4000-100000000%1276.950000000000000%20000000000000
18Philippe MyersToronto Marlies (TOR)D4000-300230000%15313.490000000001000%01200000000000
Team Total or Average6571421-40240636067234310.45%29118518.2451015221190000550046.28%1881717000.3500000000
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
1Dan VladarToronto Marlies (TOR)30300.8922.351790076524020030000
2Jakub DobesToronto Marlies (TOR)10100.8005.0959005259010013000
Team Total or Average40400.8673.032380012903303043000


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
Antti SaarelaToronto Marlies (TOR)C222001-06-27FINYes183 Lbs5 ft11NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Connor BunnamanToronto Marlies (TOR)C261998-04-16CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Dan VladarToronto Marlies (TOR)G261997-08-20CZENo209 Lbs6 ft5NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm2,200,000$0$0$No---------------------------Link
David GoyetteToronto Marlies (TOR)C202004-03-27CANYes172 Lbs5 ft10NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
David ReinbacherToronto Marlies (TOR)D192004-10-25AUTNo209 Lbs6 ft3NoNoFree Agent2025-09-16NoNo22025-10-13FalseFalsePro & Farm2,085,000$0$0$No2,085,000$--------2,085,000$--------No--------Link
Dennis HildebyToronto Marlies (TOR)G222001-08-19SWENo224 Lbs6 ft7NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm843,333$0$0$No---------------------------Link
Denton MateychukToronto Marlies (TOR)D192004-07-12CANYes185 Lbs5 ft11NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Gavin HayesToronto Marlies (TOR)LW192004-05-14USAYes177 Lbs6 ft1NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Jack FinleyToronto Marlies (TOR)C212002-09-02CANNo220 Lbs6 ft6NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm863,333$0$0$No---------------------------Link
Jackson BlakeToronto Marlies (TOR)RW202003-08-03USAYes178 Lbs5 ft11NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Jakub DobesToronto Marlies (TOR)G222001-05-27CZENo215 Lbs6 ft4NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Jakub StanclToronto Marlies (TOR)C192005-04-10CZEYes201 Lbs6 ft3NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Joshua Ho-SangToronto Marlies (TOR)RW281996-01-22CANNo173 Lbs6 ft0NoNoFree AgentNoNo22024-09-16FalseFalsePro & Farm775,000$0$0$No775,000$--------700,000$--------No--------Link
Justin HollToronto Marlies (TOR)D321992-01-30USANo194 Lbs6 ft4NoNoFree AgentNoNo22024-09-16FalseFalsePro & Farm3,400,000$0$0$No3,400,000$--------3,400,000$--------No--------Link
Klim KostinToronto Marlies (TOR)C241999-05-05RUSNo232 Lbs6 ft4NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm2,000,000$0$0$No---------------------------Link
Landon SlaggertToronto Marlies (TOR)LW212002-06-25USANo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Link
Marc-Edouard VlasicToronto Marlies (TOR)D371987-03-30CANNo205 Lbs6 ft1NoNoFree AgentNoNo12024-10-10FalseFalsePro & Farm3,250,000$0$0$No---------------------------Link / NHL Link
Matej PekarToronto Marlies (TOR)C242000-02-10CZENo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm863,334$0$0$No---------------------------Link
Max LajoieToronto Marlies (TOR)D261997-11-05CANNo191 Lbs6 ft1NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Michael AmadioToronto Marlies (TOR)RW271996-05-13CANNo199 Lbs6 ft1NoNoFree AgentNoNo32025-10-13FalseFalsePro & Farm2,600,000$0$0$No2,600,000$2,600,000$-------2,600,000$2,600,000$-------NoNo-------Link
Mitchell StephensToronto Marlies (TOR)C271997-02-05CANNo203 Lbs6 ft0NoNoFree AgentNoNo32025-10-13FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
Nick BlankenburgToronto Marlies (TOR)D251998-05-12USANo177 Lbs5 ft9NoNoFree AgentNoNo22024-09-16FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Link
Nils HoglanderToronto Marlies (TOR)LW232000-12-20SWENo185 Lbs5 ft9NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Philippe MyersToronto Marlies (TOR)D271997-01-25CANNo219 Lbs6 ft5NoNoFree Agent2024-09-17NoNo32025-10-13FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
Rafael Harvey-PinardToronto Marlies (TOR)LW251999-01-06CANNo181 Lbs5 ft9NoNoFree AgentNoNo22024-09-16FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Link
Ryker EvansToronto Marlies (TOR)D222001-12-13CANNo195 Lbs6 ft0NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Samuel HeleniusToronto Marlies (TOR)C212002-11-26FINNo201 Lbs6 ft6NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm880,000$0$0$No880,000$--------880,000$--------No--------Link
Samuel HonzekToronto Marlies (TOR)LW192004-11-12SVKYes186 Lbs6 ft4NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Talyn BoykoToronto Marlies (TOR)G212002-10-16CANYes206 Lbs6 ft6NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Ty MuellerToronto Marlies (TOR)C212003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Ty RonningToronto Marlies (TOR)RW261997-10-20CANNo167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Tyler BensonToronto Marlies (TOR)LW261998-03-15CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Link
Will BorgenToronto Marlies (TOR)D271996-12-19USANo204 Lbs6 ft3NoNoFree AgentNoNo32025-10-13FalseFalsePro & Farm2,700,000$0$0$No2,700,000$2,700,000$-------2,700,000$2,700,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3323.76195 Lbs6 ft11.521,228,737$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nils HoglanderKlim KostinMichael Amadio40122
2Rafael Harvey-PinardSamuel HeleniusJoshua Ho-Sang30122
3Nils HoglanderJack FinleyJackson Blake20122
4Nils HoglanderKlim KostinMichael Amadio10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Will BorgenMarc-Edouard Vlasic40122
2Denton MateychukNick Blankenburg30122
3Ryker EvansPhilippe Myers20122
4Justin HollMax Lajoie10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nils HoglanderKlim KostinMichael Amadio60122
2Rafael Harvey-PinardSamuel HeleniusJoshua Ho-Sang40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Will BorgenMarc-Edouard Vlasic60122
2Denton MateychukNick Blankenburg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Klim KostinNils Hoglander60122
2Samuel HeleniusRafael Harvey-Pinard40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Will BorgenMarc-Edouard Vlasic60122
2Denton MateychukNick Blankenburg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Klim Kostin60122Will BorgenMarc-Edouard Vlasic60122
2Samuel Helenius40122Denton MateychukNick Blankenburg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Klim KostinNils Hoglander60122
2Samuel HeleniusRafael Harvey-Pinard40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Will BorgenMarc-Edouard Vlasic60122
2Denton MateychukNick Blankenburg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nils HoglanderKlim KostinMichael AmadioWill BorgenMarc-Edouard Vlasic
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nils HoglanderKlim KostinMichael AmadioWill BorgenMarc-Edouard Vlasic
Extra Forwards
Normal PowerPlayPenalty Kill
Rafael Harvey-Pinard, Klim Kostin, Samuel HeleniusRafael Harvey-Pinard, Klim KostinRafael Harvey-Pinard
Extra Defensemen
Normal PowerPlayPenalty Kill
Philippe Myers, Justin Holl, Max LajoiePhilippe MyersPhilippe Myers, Justin Holl
Penalty Shots
Michael Amadio, Nils Hoglander, Joshua Ho-Sang, Jackson Blake, Rafael Harvey-Pinard
Goalie
#1 : Dan Vladar, #2 : Jakub Dobes
Custom OT Lines Forwards
Michael Amadio, Nils Hoglander, Joshua Ho-Sang, Jackson Blake, Rafael Harvey-Pinard, Klim Kostin, Samuel Helenius, Jack Finley, Will Borgen, Philippe Myers
Custom OT Lines Defensemen
Will Borgen, Marc-Edouard Vlasic, Denton Mateychuk, Nick Blankenburg, Ryker Evans


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
1Chicago Wolves40400000715-82020000026-42020000059-400.000714213023206718183109329246316531.25%12558.33%0306844.12%357447.30%224647.83%733071419448
Total40400000715-82020000026-42020000059-400.000714213023206718183109329246316531.25%12558.33%0306844.12%357447.30%224647.83%733071419448
_Since Last GM Reset40400000715-82020000026-42020000059-400.000714213023206718183109329246316531.25%12558.33%0306844.12%357447.30%224647.83%733071419448
_Vs Conference40400000715-82020000026-42020000059-400.000714213023206718183109329246316531.25%12558.33%0306844.12%357447.30%224647.83%733071419448

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
40L471421679329246330
All Games
GPWLOTWOTL SOWSOLGFGA
4040000715
Home Games
GPWLOTWOTL SOWSOLGFGA
202000026
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000059
Last 10 Games
WLOTWOTL SOWSOL
040000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
16531.25%12558.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18183102320
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
306844.12%357447.30%224647.83%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
733071419448


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
12Toronto Marlies4Chicago Wolves6LBox score
310Toronto Marlies1Chicago Wolves3LBox score
518Chicago Wolves2Toronto Marlies0LBox score
726Chicago Wolves4Toronto Marlies2LBox score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance3,0121,610
Attendance PCT75.30%80.50%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 2311 - 77.03% 89,653$179,306$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,054,833$ 4,054,833$ 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