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Toronto Marlies
GP: 3 | W: 0 | L: 3
GF: 5 | GA: 11 | PP%: 23.08% | PK%: 75.00%
GM : Alexandre Dame | Morale : 15 | Team Overall : 58
Next Games #26 vs Chicago Wolves

Game Center
Toronto Marlies
0-3-0, 0pts
1
3 Chicago Wolves
3-0-0, 6pts
Team Stats
L3StreakW3
0-1-0Home Record2-0-0
0-2-0Home Record1-0-0
0-3-0Last 10 Games3-0-0
1.67Goals Per Game3.67
3.67Goals Against Per Game1.67
23.08%Power Play Percentage25.00%
75.00%Penalty Kill Percentage76.92%
Chicago Wolves
3-0-0, 6pts
2
0 Toronto Marlies
0-3-0, 0pts
Team Stats
W3StreakL3
2-0-0Home Record0-1-0
1-0-0Home Record0-2-0
3-0-0Last 10 Games0-3-0
3.67Goals Per Game1.67
1.67Goals Against Per Game3.67
25.00%Power Play Percentage23.08%
76.92%Penalty Kill Percentage75.00%
Chicago Wolves
3-0-0, 6pts
Day 7
Toronto Marlies
0-3-0, 0pts
Team Stats
W3StreakL3
2-0-0Home Record0-1-0
1-0-0Away Record0-2-0
3-0-0Last 10 Games0-3-0
3.67Goals Per Game1.67
1.67Goals Against Per Game1.67
25.00%Power Play Percentage23.08%
76.92%Penalty Kill Percentage75.00%
Toronto Marlies
0-3-0, 0pts
Day 9
Chicago Wolves
3-0-0, 6pts
Team Stats
L3StreakW3
0-1-0Home Record2-0-0
0-2-0Away Record1-0-0
0-3-0Last 10 Games3-0-0
1.67Goals Per Game3.67
3.67Goals Against Per Game3.67
23.08%Power Play Percentage25.00%
75.00%Penalty Kill Percentage76.92%
Chicago Wolves
3-0-0, 6pts
Day 11
Toronto Marlies
0-3-0, 0pts
Team Stats
W3StreakL3
2-0-0Home Record0-1-0
1-0-0Away Record0-2-0
3-0-0Last 10 Games0-3-0
3.67Goals Per Game1.67
1.67Goals Against Per Game1.67
25.00%Power Play Percentage23.08%
76.92%Penalty Kill Percentage75.00%
Team Leaders
Goals
Rafael Harvey-Pinard
2
Assists
Samuel Helenius
3
Points
Joshua Ho-Sang
3
Plus/Minus
David Reinbacher
0
Wins
Dan Vladar
0
Save Percentage
Dan Vladar
0.921

Team Stats
Goals For
5
1.67 GFG
Shots For
51
17.00 Avg
Power Play Percentage
23.1%
3 GF
Offensive Zone Start
39.3%
Goals Against
11
3.67 GAA
Shots Against
66
22.00 Avg
Penalty Kill Percentage
75.0%%
2 GA
Defensive Zone Start
36.4%
Team Info

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


Arena Info

Capacity3,000
Attendance2,294
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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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$
9Marc-Edouard Vlasic0X100.0062369065788675623066647452927932506203713,250,000$
10Will Borgen0X100.0077727966848890633071587650717050506202732,700,000$
11Denton Mateychuk (R)0X100.006136897169877368306963655861658550610191775,000$
12Nick Blankenburg0X100.006736856865878066306962765267683750610252825,000$
13Ryker Evans0X100.007340826973888568307360645265667450610221925,000$
14Philippe Myers0X100.008354746793847965306260665168703650610273775,000$
15Justin Holl0X100.0069378966858381623067536948757342506003223,400,000$
16Max Lajoie (C)0X100.007038846476788462306554634868704850590261775,000$
Scratches
1Landon Slaggert0X100.0063378566707976645862596561636466505802121,350,000$
2Mitchell Stephens (A)0X100.006638896275788558786059675668706450580273775,000$
3Ty Ronning0X100.006336906165907859595761555968704550570261775,000$
4Tyler Benson0X100.006338876072767859656357586266687350570261863,333$
5Connor Bunnaman0X100.006940865981838455715158566067695650560261775,000$
6Samuel Honzek (R)0X100.007339895884797057605655595762638450560191775,000$
7Ty Mueller (R)0X100.006136886069807259696058635962646550560211775,000$
8Matej Pekar0X100.006542706274766558676150565364666150550241863,334$
9David Goyette (R)0X100.005637885865697056635755545861636850540201775,000$
10Gavin Hayes (R)0X100.006437945773816854585655575361636750540191775,000$
11Jakub Stancl (R)0X100.007539945684696054595350585260626450540191775,000$
12Antti Saarela (R)0X100.006037935669676453585455525763655850530222925,000$
13David Reinbacher0X100.0076427965856864623060596452616388505801922,085,000$
TEAM AVERAGE100.00684185647680776253625963576667615059
Filter Tips
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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
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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
# 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$
Scratches
1Dennis Hildeby0100.00778682987675777675777664715750560221843,333$
2Talyn Boyko (R)0100.00697167946867696867696863696050520211775,000$
TEAM AVERAGE100.0077817793767577767577766573575057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
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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")
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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 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)RW3123-2005171414.29%25719.011121900000000%021001.0500000000
2Rafael Harvey-PinardToronto Marlies (TOR)LW3213-2202442750.00%06020.2711219000030050.00%220000.9900000000
3Samuel HeleniusToronto Marlies (TOR)C3033-120653110%15919.7702229000030052.63%3801001.0100000000
4Marc-Edouard VlasicToronto Marlies (TOR)D3112-3201241025.00%37424.9610131200006000%001000.5300000000
5Nils HoglanderToronto Marlies (TOR)LW3022-320267360%17324.5101139000060033.33%1211000.5400000000
6Michael AmadioToronto Marlies (TOR)RW3101-40035104410.00%26521.6700029000000020.00%530000.3100000000
7Klim KostinToronto Marlies (TOR)C3011-360845100%16822.7601139000030043.28%6702000.2900000000
8Jack FinleyToronto Marlies (TOR)C3000-320341230%14715.8900010000020038.46%131000000000000
9Denton MateychukToronto Marlies (TOR)D3000-100430300%06220.870000800004000%00100000000000
10Nick BlankenburgToronto Marlies (TOR)D3000000422000%15618.690000800004000%00000000000000
11David ReinbacherToronto Marlies (TOR)D1000000000000%066.800000000000000%00000000000000
12Jackson BlakeToronto Marlies (TOR)RW3000-100303030%04414.730000000000000%00200000000000
13Ryker EvansToronto Marlies (TOR)D3000-100102110%14113.890000000000000%00000000000000
14Will BorgenToronto Marlies (TOR)D2000-200741110%35226.1000001000006000%01000000000000
15Landon SlaggertToronto Marlies (TOR)LW1000-200121120%01616.7000000000000050.00%21000000000000
16Justin HollToronto Marlies (TOR)D3000-300111020%14113.830000100002000%00000000000000
17Max LajoieToronto Marlies (TOR)D3000-100000000%1206.850000000000000%10000000000000
18Philippe MyersToronto Marlies (TOR)D3000-300220000%13913.310000000000000%01200000000000
Team Total or Average4951015-3516053455121349.80%1988818.14369161000000440043.57%1401211000.3400000000
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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
# 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)20200.9211.511190033815020020000
2Jakub DobesToronto Marlies (TOR)10100.8005.0959005259010012000
Team Total or Average30300.8732.70178008632403032000


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$528,571$0$0$No925,000$--------925,000$--------No--------Link
Connor BunnamanToronto Marlies (TOR)C261998-04-16CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Dan VladarToronto Marlies (TOR)G261997-08-20CZENo209 Lbs6 ft5NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm2,200,000$1,257,143$0$0$No---------------------------Link
David GoyetteToronto Marlies (TOR)C202004-03-27CANYes172 Lbs5 ft10NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
David ReinbacherToronto Marlies (TOR)D192004-10-25AUTNo209 Lbs6 ft3NoNoFree Agent2025-09-16NoNo22025-10-13FalseFalsePro & Farm2,085,000$1,191,429$0$0$No2,085,000$--------2,085,000$--------No--------Link
Dennis HildebyToronto Marlies (TOR)G222001-08-19SWENo224 Lbs6 ft7NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm843,333$481,905$0$0$No---------------------------Link
Denton MateychukToronto Marlies (TOR)D192004-07-12CANYes185 Lbs5 ft11NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Gavin HayesToronto Marlies (TOR)LW192004-05-14USAYes177 Lbs6 ft1NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Jack FinleyToronto Marlies (TOR)C212002-09-02CANNo220 Lbs6 ft6NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm863,333$493,333$0$0$No---------------------------Link
Jackson BlakeToronto Marlies (TOR)RW202003-08-03USAYes178 Lbs5 ft11NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Jakub DobesToronto Marlies (TOR)G222001-05-27CZENo215 Lbs6 ft4NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm925,000$528,571$0$0$No925,000$--------925,000$--------No--------Link
Jakub StanclToronto Marlies (TOR)C192005-04-10CZEYes201 Lbs6 ft3NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Joshua Ho-SangToronto Marlies (TOR)RW281996-01-22CANNo173 Lbs6 ft0NoNoFree AgentNoNo22024-09-16FalseFalsePro & Farm775,000$442,857$0$0$No775,000$--------700,000$--------No--------Link
Justin HollToronto Marlies (TOR)D321992-01-30USANo194 Lbs6 ft4NoNoFree AgentNoNo22024-09-16FalseFalsePro & Farm3,400,000$1,942,857$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$1,142,857$0$0$No---------------------------Link
Landon SlaggertToronto Marlies (TOR)LW212002-06-25USANo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,350,000$771,429$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$1,857,143$0$0$No---------------------------Link / NHL Link
Matej PekarToronto Marlies (TOR)C242000-02-10CZENo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm863,334$493,334$0$0$No---------------------------Link
Max LajoieToronto Marlies (TOR)D261997-11-05CANNo191 Lbs6 ft1NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Michael AmadioToronto Marlies (TOR)RW271996-05-13CANNo199 Lbs6 ft1NoNoFree AgentNoNo32025-10-13FalseFalsePro & Farm2,600,000$1,485,714$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$442,857$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$471,429$0$0$No825,000$--------825,000$--------No--------Link
Nils HoglanderToronto Marlies (TOR)LW232000-12-20SWENo185 Lbs5 ft9NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm1,100,000$628,571$0$0$No---------------------------Link
Philippe MyersToronto Marlies (TOR)D271997-01-25CANNo219 Lbs6 ft5NoNoFree Agent2024-09-17NoNo32025-10-13FalseFalsePro & Farm775,000$442,857$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$628,571$0$0$No1,100,000$--------1,100,000$--------No--------Link
Ryker EvansToronto Marlies (TOR)D222001-12-13CANNo195 Lbs6 ft0NoNoFree AgentNoNo12024-09-16FalseFalsePro & Farm925,000$528,571$0$0$No---------------------------Link
Samuel HeleniusToronto Marlies (TOR)C212002-11-26FINNo201 Lbs6 ft6NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm880,000$502,857$0$0$No880,000$--------880,000$--------No--------Link
Samuel HonzekToronto Marlies (TOR)LW192004-11-12SVKYes186 Lbs6 ft4NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Talyn BoykoToronto Marlies (TOR)G212002-10-16CANYes206 Lbs6 ft6NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Ty MuellerToronto Marlies (TOR)C212003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Ty RonningToronto Marlies (TOR)RW261997-10-20CANNo167 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$442,857$0$0$No---------------------------Link
Tyler BensonToronto Marlies (TOR)LW261998-03-15CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$493,333$0$0$No---------------------------Link
Will BorgenToronto Marlies (TOR)D271996-12-19USANo204 Lbs6 ft3NoNoFree AgentNoNo32025-10-13FalseFalsePro & Farm2,700,000$1,542,857$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 Wolves30300000511-61010000002-22020000059-400.000510153023005117132106619165313323.08%8275.00%0245543.64%235145.10%143441.18%562353316935
Total30300000511-61010000002-22020000059-400.000510153023005117132106619165313323.08%8275.00%0245543.64%235145.10%143441.18%562353316935
_Since Last GM Reset30300000511-61010000002-22020000059-400.000510153023005117132106619165313323.08%8275.00%0245543.64%235145.10%143441.18%562353316935
_Vs Conference30300000511-61010000002-22020000059-400.000510153023005117132106619165313323.08%8275.00%0245543.64%235145.10%143441.18%562353316935

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
30L351015516619165330
All Games
GPWLOTWOTL SOWSOLGFGA
3030000511
Home Games
GPWLOTWOTL SOWSOLGFGA
101000002
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000059
Last 10 Games
WLOTWOTL SOWSOL
030000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
13323.08%8275.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
17132102300
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
245543.64%235145.10%143441.18%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
562353316935


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
12Toronto Marlies4Chicago Wolves6LBox score
310Toronto Marlies1Chicago Wolves3LBox score
518Chicago Wolves2Toronto Marlies0LBox score
726Chicago Wolves-Toronto Marlies-
934Toronto Marlies-Chicago Wolves-
1142Chicago Wolves-Toronto Marlies-
1350Toronto Marlies-Chicago Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance1,483811
Attendance PCT74.15%81.10%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 2294 - 76.47% 88,750$88,750$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$ 8 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