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Toronto Marlies
GP: 7 | W: 2 | L: 4 | OTL: 1 | P: 5
GF: 10 | GA: 17 | PP%: 6.67% | PK%: 88.89%
GM : | Morale : 36 | Team Overall : 63
Next Games #162 vs Oklahoma City Barons
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Game Center
Toronto Marlies
2-4-1, 5pts
1
FINAL
3 Chicago Wolves
6-2-1, 13pts
Team Stats
L3StreakW1
1-3-1Home Record2-1-1
1-1-0Home Record4-1-0
2-4-1Last 10 Games6-2-1
1.43Goals Per Game2.33
2.43Goals Against Per Game1.67
6.67%Power Play Percentage10.26%
88.89%Penalty Kill Percentage91.84%
Hamilton Bulldogs
6-2-1, 13pts
1
FINAL
0 Toronto Marlies
2-4-1, 5pts
Team Stats
W3StreakL3
3-0-1Home Record1-3-1
3-2-0Home Record1-1-0
6-2-1Last 10 Games2-4-1
2.22Goals Per Game1.43
1.78Goals Against Per Game2.43
16.28%Power Play Percentage6.67%
91.18%Penalty Kill Percentage88.89%
Oklahoma City Barons
5-2-1, 11pts
Day 30
Toronto Marlies
2-4-1, 5pts
Team Stats
W2StreakL3
2-1-1Home Record1-3-1
3-1-0Away Record1-1-0
5-2-1Last 10 Games2-4-1
2.88Goals Per Game1.43
2.00Goals Against Per Game1.43
29.73%Power Play Percentage6.67%
86.49%Penalty Kill Percentage88.89%
Lake Erie Monsters
4-3-1, 9pts
Day 36
Toronto Marlies
2-4-1, 5pts
Team Stats
L1StreakL3
2-2-0Home Record1-3-1
2-1-1Away Record1-1-0
4-3-1Last 10 Games2-4-1
2.13Goals Per Game1.43
2.00Goals Against Per Game1.43
9.68%Power Play Percentage6.67%
85.71%Penalty Kill Percentage88.89%
Toronto Marlies
2-4-1, 5pts
Day 38
Providence Bruins
2-4-2, 6pts
Team Stats
L3StreakOTL1
1-3-1Home Record1-2-1
1-1-0Away Record1-2-1
2-4-1Last 10 Games2-4-2
1.43Goals Per Game1.75
2.43Goals Against Per Game1.75
6.67%Power Play Percentage17.65%
88.89%Penalty Kill Percentage83.33%
Team Leaders
Goals
Egor Korshkov
2
Josh MahuraAssists
Josh Mahura
3
Points
Egor Korshkov
3
Gavin BayreutherPlus/Minus
Gavin Bayreuther
3
Wins
Pheonix Copley
2
Save Percentage
Pheonix Copley
0.88

Team Stats
Goals For
10
1.43 GFG
Shots For
134
19.14 Avg
Power Play Percentage
6.7%
2 GF
Offensive Zone Start
37.3%
Goals Against
17
2.43 GAA
Shots Against
142
20.29 Avg
Penalty Kill Percentage
88.9%%
3 GA
Defensive Zone Start
42.7%
Team Info

General Manager
DivisionDivision 4
ConferenceConference 2
CaptainMark Jankowski
Assistant #1Xavier Ouellet
Assistant #2Vladimir Sobotka


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team39
Farm Team18
Contract Limit57 / 250
Prospects0


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)
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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
# 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
1Mark Jankowski (C)XX97.0057359467897386658264637762736871386702830$
2Sammy BlaisXX97.0096398770817681675966685667697148386602731,579,000$
3Vladimir Sobotka (A)X99.0079359264718169607964617662847432386603610$
4Egor KorshkovXX100.0058359265828578665862686372696774386502712,246,000$
5Tyler SikuraXX99.0070398761798287627463646163777836356503123,624,000$
6Clark BishopX100.0079398663778184627166616264696355386402742,274,000$
7Jesper BoqvistX100.0067359366708782646763655762656476386402441,627,000$
8Patrick RussellX99.0078359365787376635664616266756836386403022,765,000$
9Dominic TurgeonX100.0071359262808388597160586559687065386302741,431,000$
10Valentin ZykovX100.0063398763787977665862645667716673386302821,485,000$
11Matt BeleskeyX100.0067616957768893585659615860827336386203523,643,000$
12Xavier Ouellet (A)X99.0083369062747871633064576852757763386603042,946,000$
13Oliwer KaskiX99.0072379059818691583057596349716642386502850$
14Gavin BayreutherX100.0066507564767973633063596151736737386402930$
15Josh MahuraX100.0057359266728075673069616053656363386402520$
16Christian WolaninX100.0052388864788078633067576045716658386302831,550,000$
17Kale ClagueX100.0056359264708175653068575951656371386202531,702,000$
Scratches
1John QuennevilleXXX100.0080359560767279616758605960696875336202731,463,000$
2Ross JohnstonX100.0094855659966574605761625658736736336202940$
3Blake PietilaXX100.0063398658728186605557595658756851336103030$
4Gabriel GagneX100.0078388959876065596159606260696573336102611,558,000$
5Kevin PorterX100.0063467958727984586361565857857531336103733,061,000$
6Alex BroadhurstX100.0065359358708388567359575458756839336003030$
7Cody McLeodX100.0072855254817873535855565954878132336003940$
8Drake RymshaX100.0066358457727975586459585759656356336002530$
9James HamblinX100.0056359356658489565856575457636244335902452,218,000$
10Kody ClarkX100.0071468158806469565755605859636573335902320$
11Ryan KuffnerX100.0066359356756873545753565554696542335802741,482,000$
12Terry BroadhurstX100.0056388760656871586357525654827326335803442,226,000$
13Keegan LoweX100.0070537254798994523053535545757154336203043,322,000$
14Griffin LuceX100.0078606552876873523051545745656344336002531,337,000$
15James de HaasX100.0079517854886065543055545946736742336002941,559,000$
16Michael KesselringX100.0075538455847772523054535645616249336002320$
17Nicholas WelshX100.0057467854667368563055535245676443335702641,273,000$
TEAM AVERAGE99.68694384607777786053605960567268513562
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")
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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
1Pheonix Copley100.007487858673727473727473778336387503143,480,254$
2Justin Kapelmaster100.007766648176757776757776717542387302713,348,687$
Scratches
1Joel Hofer100.007384827572717372717372616563347102340$
2Trent Miner100.007278807471707271707271606350346902250$
3Jeremy Brodeur100.006767657166656766656766697342346602632,233,073$
TEAM AVERAGE100.0073767577727173727173726872473671
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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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
# 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
1Egor KorshkovToronto Marlies (TOR)LW/RW721320002102920.00%07210.35101524000000022.22%900000.8300000000
2Josh MahuraToronto Marlies (TOR)D703330021210350%614921.41000625000021000%000000.4000000000
3Sammy BlaisToronto Marlies (TOR)LW/RW7123-54021773614.29%116924.180002220000220038.78%4900000.3511000000
4Tyler SikuraToronto Marlies (TOR)C/LW712305571016386.25%315121.620002280000140060.00%500000.4000010010
5Vladimir SobotkaToronto Marlies (TOR)C7123080102711169.09%115221.810003280000140047.85%16300000.3900000100
6Mark JankowskiToronto Marlies (TOR)C/LW7022-200215114120%116223.140113220000230053.01%8300000.2511000000
7Oliwer KaskiToronto Marlies (TOR)D7022-420745630%417224.57011327000023000%000000.2300000000
8Xavier OuelletToronto Marlies (TOR)D7112-54014764516.67%516924.27112425000022000%000000.2400000000
9Christian WolaninToronto Marlies (TOR)D7011-520131010%510515.040000000005000%000000.1900000000
10Clark BishopToronto Marlies (TOR)C7011-24013108050%07711.1100000000000040.26%7700000.2600000000
11Dominic TurgeonToronto Marlies (TOR)C7101-60031113267.69%010014.36000000000120144.90%9800000.2000000010
12Patrick RussellToronto Marlies (TOR)RW7101080621051110.00%113719.58000228000001028.57%700000.1500000001
13Valentin ZykovToronto Marlies (TOR)LW7101-20038100210.00%07711.0400000000000066.67%300000.2600000000
14Gavin BayreutherToronto Marlies (TOR)D70003100744130%514220.40000224000017000%00000000000000
15Jesper BoqvistToronto Marlies (TOR)LW7000-600046230%18812.6100000000000033.33%60000000000000
16Kale ClagueToronto Marlies (TOR)D7000-5120754020%1110314.750001300001000%00000000000000
17Matt BeleskeyToronto Marlies (TOR)LW7000120202000%0314.5100004000040025.00%40000000000000
Team Total or Average11991726-3361510513113436876.72%44206317.342353326600001831145.24%50400000.2522010121
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
1Pheonix CopleyToronto Marlies (TOR)72410.8802.4142400171420001.000270001
Team Total or Average72410.8802.414240017142000270001


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 Rookie Weight Height No Trade Available For Trade Force Waivers Waiver Possible Contract 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 10Link
Alex BroadhurstToronto Marlies (TOR)C303/7/1993No178 Lbs6 ft0NoNoNoNo3Pro & Farm0$0$NoLink
Blake PietilaToronto Marlies (TOR)C/LW302/20/1993No200 Lbs5 ft11NoNoNoNo3Pro & Farm0$0$NoLink
Christian WolaninToronto Marlies (TOR)D283/17/1995No190 Lbs6 ft2NoNoNoNo3Pro & Farm1,550,000$0$0$No1,550,000$1,550,000$Link
Clark BishopToronto Marlies (TOR)C273/29/1996No199 Lbs6 ft1NoNoNoNo4Pro & Farm2,274,000$0$0$No2,274,000$2,274,000$2,274,000$Link
Cody McLeodToronto Marlies (TOR)LW396/26/1984No204 Lbs6 ft2NoNoNoNo4Pro & Farm0$0$NoLink
Dominic TurgeonToronto Marlies (TOR)C272/25/1996No199 Lbs6 ft2NoNoNoNo4Pro & Farm1,431,000$0$0$No1,431,000$1,431,000$1,431,000$Link
Drake RymshaToronto Marlies (TOR)C258/6/1998No187 Lbs6 ft0NoNoNoNo3Pro & Farm0$0$NoLink
Egor KorshkovToronto Marlies (TOR)LW/RW277/10/1996No180 Lbs6 ft4NoNoNoNo1Pro & Farm2,246,000$0$0$NoLink
Gabriel GagneToronto Marlies (TOR)RW2611/11/1996No186 Lbs6 ft5NoNoNoNo1Pro & Farm1,558,000$0$0$NoLink
Gavin BayreutherToronto Marlies (TOR)D295/12/1994No195 Lbs6 ft1NoNoNoNo3Pro & Farm0$0$NoLink / NHL Link
Griffin LuceToronto Marlies (TOR)D253/10/1998No217 Lbs6 ft3NoNoNoNo3Pro & Farm1,337,000$0$0$No1,337,000$1,337,000$Link
James HamblinToronto Marlies (TOR)LW244/27/1999No176 Lbs5 ft9NoNoNoNo5Pro & Farm2,218,000$0$0$No2,218,000$2,218,000$2,218,000$2,218,000$Link
James de HaasToronto Marlies (TOR)D295/3/1994No210 Lbs6 ft4NoNoNoNo4Pro & Farm1,559,000$0$0$No1,559,000$1,559,000$1,559,000$Link
Jeremy BrodeurToronto Marlies (TOR)G2610/29/1996No185 Lbs6 ft0NoNoNoNo3Pro & Farm2,233,073$0$0$No2,233,073$2,233,073$Link
Jesper BoqvistToronto Marlies (TOR)LW2410/30/1998No180 Lbs6 ft0NoNoNoNo4Pro & Farm1,627,000$0$0$No1,627,000$1,627,000$1,627,000$Link / NHL Link
Joel HoferToronto Marlies (TOR)G237/30/2000No160 Lbs6 ft3NoNoNoNo4Pro & Farm0$0$NoLink
John QuennevilleToronto Marlies (TOR)C/LW/RW274/16/1996No195 Lbs6 ft1NoNoNoNo3Pro & Farm1,463,000$0$0$No1,463,000$1,463,000$Link
Josh MahuraToronto Marlies (TOR)D255/5/1998No186 Lbs6 ft0NoNoNoNo2Pro & Farm0$0$NoLink / NHL Link
Justin KapelmasterToronto Marlies (TOR)G2710/26/1995No216 Lbs6 ft1NoNoNoNo1Pro & Farm3,348,687$0$0$NoLink
Kale ClagueToronto Marlies (TOR)D256/5/1998No177 Lbs6 ft0NoNoNoNo3Pro & Farm1,702,000$0$0$No1,702,000$1,702,000$Link / NHL Link
Keegan LoweToronto Marlies (TOR)D303/29/1993No191 Lbs6 ft2NoNoNoNo4Pro & Farm3,322,000$0$0$No3,322,000$3,322,000$3,322,000$Link
Kevin PorterToronto Marlies (TOR)C373/12/1986No190 Lbs6 ft0NoNoNoNo3Pro & Farm3,061,000$0$0$No3,061,000$3,061,000$Link
Kody ClarkToronto Marlies (TOR)RW2310/13/1999No185 Lbs6 ft3NoNoNoNo2Pro & Farm0$0$NoLink
Mark JankowskiToronto Marlies (TOR)C/LW289/13/1994No212 Lbs6 ft4NoNoNoNo3Pro & Farm0$0$NoLink
Matt BeleskeyToronto Marlies (TOR)LW356/7/1988No207 Lbs6 ft0NoNoNoNo2Pro & Farm3,643,000$0$0$No3,643,000$Link
Michael KesselringToronto Marlies (TOR)D231/13/2000No190 Lbs6 ft4NoNoNoNo2Pro & Farm0$0$NoLink
Nicholas WelshToronto Marlies (TOR)D265/7/1997No177 Lbs5 ft10NoNoNoNo4Pro & Farm1,273,000$0$0$No1,273,000$1,273,000$1,273,000$Link
Oliwer KaskiToronto Marlies (TOR)D289/4/1995No190 Lbs6 ft3NoNoNoNo5Pro & Farm0$0$NoLink
Patrick RussellToronto Marlies (TOR)RW301/4/1993No203 Lbs6 ft1NoNoNoNo2Pro & Farm2,765,000$0$0$No2,765,000$Link
Pheonix CopleyToronto Marlies (TOR)G311/18/1992No198 Lbs6 ft4NoNoNoNo4Pro & Farm3,480,254$0$0$No3,480,254$3,480,254$3,480,254$Link
Ross JohnstonToronto Marlies (TOR)LW292/18/1994No235 Lbs6 ft5NoNoNoNo4Pro & Farm0$0$NoLink / NHL Link
Ryan KuffnerToronto Marlies (TOR)LW276/12/1996No186 Lbs6 ft1NoNoNoNo4Pro & Farm1,482,000$0$0$No1,482,000$1,482,000$1,482,000$Link
Sammy BlaisToronto Marlies (TOR)LW/RW276/17/1996No205 Lbs6 ft2NoNoNoNo3Pro & Farm1,579,000$0$0$No1,579,000$1,579,000$Link / NHL Link
Terry BroadhurstToronto Marlies (TOR)LW3411/30/1988No162 Lbs5 ft11NoNoNoNo4Pro & Farm2,226,000$0$0$No2,226,000$2,226,000$2,226,000$Link
Trent MinerToronto Marlies (TOR)G222/5/2001No185 Lbs6 ft1NoNoNoNo5Pro & Farm0$0$NoLink
Tyler SikuraToronto Marlies (TOR)C/LW315/18/1992No195 Lbs6 ft2NoNoNoNo2Pro & Farm3,624,000$0$0$No3,624,000$Link
Valentin ZykovToronto Marlies (TOR)LW285/15/1995No220 Lbs6 ft0NoNoNoNo2Pro & Farm1,485,000$0$0$No1,485,000$Link
Vladimir SobotkaToronto Marlies (TOR)C367/2/1987No191 Lbs5 ft11NoNoNoNo1Pro & Farm0$0$NoLink
Xavier OuelletToronto Marlies (TOR)D307/29/1993No199 Lbs6 ft0NoNoNoNo4Pro & Farm2,946,000$0$0$No2,946,000$2,946,000$2,946,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3928.15193 Lbs6 ft13.101,421,359$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sammy BlaisMark JankowskiEgor Korshkov40122
2Tyler SikuraVladimir SobotkaPatrick Russell30122
3Jesper BoqvistDominic TurgeonSammy Blais20122
4Valentin ZykovClark BishopMark Jankowski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletOliwer Kaski40122
2Josh MahuraGavin Bayreuther30122
3Kale ClagueChristian Wolanin20122
4Xavier OuelletOliwer Kaski10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sammy BlaisMark JankowskiEgor Korshkov60122
2Tyler SikuraVladimir SobotkaPatrick Russell40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletOliwer Kaski60122
2Josh MahuraGavin Bayreuther40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sammy BlaisMark Jankowski60122
2Vladimir SobotkaTyler Sikura40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletOliwer Kaski60122
2Josh MahuraGavin Bayreuther40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sammy Blais60122Xavier OuelletOliwer Kaski60122
2Mark Jankowski40122Josh MahuraGavin Bayreuther40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sammy BlaisMark Jankowski60122
2Vladimir SobotkaTyler Sikura40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletOliwer Kaski60122
2Josh MahuraGavin Bayreuther40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sammy BlaisMark JankowskiEgor KorshkovXavier OuelletOliwer Kaski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sammy BlaisMark JankowskiEgor KorshkovXavier OuelletOliwer Kaski
Extra Forwards
Normal PowerPlayPenalty Kill
Matt Beleskey, Jesper Boqvist, Dominic TurgeonMatt Beleskey, Jesper BoqvistDominic Turgeon
Extra Defensemen
Normal PowerPlayPenalty Kill
Kale Clague, Christian Wolanin, Josh MahuraKale ClagueChristian Wolanin, Josh Mahura
Penalty Shots
Sammy Blais, Mark Jankowski, Vladimir Sobotka, Tyler Sikura, Egor Korshkov
Goalie
#1 : Pheonix Copley, #2 : Justin Kapelmaster
Custom OT Lines Forwards
Sammy Blais, Mark Jankowski, Vladimir Sobotka, Tyler Sikura, Egor Korshkov, Patrick Russell, Patrick Russell, Jesper Boqvist, Dominic Turgeon, Clark Bishop, Valentin Zykov
Custom OT Lines Defensemen
Xavier Ouellet, Oliwer Kaski, Josh Mahura, Gavin Bayreuther, Kale Clague


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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
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 Wolves2020000015-41010000002-21010000013-200.00012300441231534732447121839700.00%8187.50%07718641.40%10221347.89%4910049.00%170116163529145
2Hamilton Bulldogs201000103301010000001-11000001032120.50034700441236534732437101619800.00%8187.50%07718641.40%10221347.89%4910049.00%170116163529145
3Milwaukee Admirals2110000035-22110000035-20000000000020.5003690044124853473243916213210110.00%8187.50%07718641.40%10221347.89%4910049.00%170116163529145
4Rochester Americans1000010034-11000010034-10000000000010.5003580044121953473241966155120.00%30100.00%07718641.40%10221347.89%4910049.00%170116163529145
Total714001101017-751300100612-62010001045-150.357101727004412134534732414244611053026.67%27388.89%07718641.40%10221347.89%4910049.00%170116163529145
_Since Last GM Reset714001101017-751300100612-62010001045-150.357101727004412134534732414244611053026.67%27388.89%07718641.40%10221347.89%4910049.00%170116163529145
_Vs Conference51200110912-341200100610-41000001032150.500915240044121035347324953243662328.70%19289.47%07718641.40%10221347.89%4910049.00%170116163529145
_Vs Division2010011035-22010010035-20000001000030.7503690044124853473243916213210110.00%8187.50%07718641.40%10221347.89%4910049.00%170116163529145

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
75L3101727134142446110500
All Games
GPWLOTWOTL SOWSOLGFGA
71401101017
Home Games
GPWLOTWOTL SOWSOLGFGA
5130100612
Visitor Games
GPWLOTWOTL SOWSOLGFGA
201001045
Last 10 Games
WLOTWOTL SOWSOL
140110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3026.67%27388.89%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
53473244412
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7718641.40%10221347.89%4910049.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
170116163529145


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
312Rochester Americans4Toronto Marlies3BLXBoxScore
737Milwaukee Admirals3Toronto Marlies0BLBoxScore
949Toronto Marlies3Hamilton Bulldogs2AWXXBoxScore
1368Milwaukee Admirals2Toronto Marlies3BWBoxScore
1998Chicago Wolves2Toronto Marlies0BLBoxScore
23124Toronto Marlies1Chicago Wolves3ALBoxScore
24130Hamilton Bulldogs1Toronto Marlies0BLBoxScore
30162Oklahoma City Barons-Toronto Marlies-
36193Lake Erie Monsters-Toronto Marlies-
38201Toronto Marlies-Providence Bruins-
42224Grand Rapids Griffins-Toronto Marlies-
44231Toronto Marlies-Manchester Monarchs-
46246Toronto Marlies-Grand Rapids Griffins-
48255Toronto Marlies-Lake Erie Monsters-
49261Rochester Americans-Toronto Marlies-
53285Toronto Marlies-Rockford IceHogs-
54291Peoria Rivermen-Toronto Marlies-
58309Toronto Marlies-Peoria Rivermen-
62324Rockford IceHogs-Toronto Marlies-
66353Syracuse Crunch-Toronto Marlies-
71376Toronto Marlies-Chicago Wolves-
73387Rochester Americans-Toronto Marlies-
78415Toronto Marlies-Rochester Americans-
79418St. John's-Toronto Marlies-
84449Adirondack Phantoms-Toronto Marlies-
90481Chicago Wolves-Toronto Marlies-
96513Charlotte Checkers-Toronto Marlies-
98523Toronto Marlies-Palm Springs-
100529Toronto Marlies-Oklahoma City Barons-
102545Connecticut Whale-Toronto Marlies-
104556Toronto Marlies-Palm Springs-
108576Milwaukee Admirals-Toronto Marlies-
113603Toronto Marlies-Rochester Americans-
114609Texas Stars-Toronto Marlies-
120639Toronto Marlies-Worcester Sharks-
121645Lake Erie Monsters-Toronto Marlies-
125667Toronto Marlies-Grand Rapids Griffins-
126673Palm Springs-Toronto Marlies-
133705Wilkes-Barre/Scranton Penguins-Toronto Marlies-
136724Toronto Marlies-Bridgeport Sound Tigers-
139737Norfolk Admirals-Toronto Marlies-
143760Toronto Marlies-St. John's-
145769Portland Pirates-Toronto Marlies-
147782Toronto Marlies-Connecticut Whale-
150798Toronto Marlies-Charlotte Checkers-
151802Chicago Wolves-Toronto Marlies-
154823Toronto Marlies-Portland Pirates-
156833Springfield Falcons-Toronto Marlies-
160856Toronto Marlies-Springfield Falcons-
162865Hamilton Bulldogs-Toronto Marlies-
164877Toronto Marlies-Wilkes-Barre/Scranton Penguins-
166887Toronto Marlies-Lake Erie Monsters-
168897Oklahoma City Barons-Toronto Marlies-
171919Toronto Marlies-Abbotsford Heat-
173928Toronto Marlies-Norfolk Admirals-
174932Providence Bruins-Toronto Marlies-
177945Toronto Marlies-Binghamton Senators-
179952Toronto Marlies-Syracuse Crunch-
182967Toronto Marlies-Texas Stars-
183972Binghamton Senators-Toronto Marlies-
188995Toronto Marlies-Hamilton Bulldogs-
1891004Houston Aeros-Toronto Marlies-
1941028Bridgeport Sound Tigers-Toronto Marlies-
2001059Worcester Sharks-Toronto Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
2061090Albany Devils-Toronto Marlies-
2071096Toronto Marlies-Milwaukee Admirals-
2111122Manchester Monarchs-Toronto Marlies-
2151134Toronto Marlies-Chicago Wolves-
2171145Toronto Marlies-San Antonio Rampage-
2191155San Antonio Rampage-Toronto Marlies-
2221171Toronto Marlies-Charlotte Checkers-
2241180Toronto Marlies-Houston Aeros-
2261190Grand Rapids Griffins-Toronto Marlies-
2311219Hershey Bears-Toronto Marlies-
2321222Toronto Marlies-Albany Devils-
2331229Toronto Marlies-Providence Bruins-
2351241Toronto Marlies-Hershey Bears-
2391257Abbotsford Heat-Toronto Marlies-
2411268Toronto Marlies-Abbotsford Heat-
2441282Toronto Marlies-Manchester Monarchs-
2451286Toronto Marlies-Adirondack Phantoms-
2511310Palm Springs-Toronto Marlies-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 5,543,302$ 5,543,302$ 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$ 227 21,997$ 4,993,319$




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