Login

Toronto Marlies
GP: 11 | W: 8 | L: 3
GF: 42 | GA: 26 | PP%: 36.36% | PK%: 63.16%
GM : Albin Cöster | Morale : 92 | Team Overall : 59
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Belleville Senators
6-5-0, 12pts
3
FINAL
2 Toronto Marlies
8-3-0, 16pts
Team Stats
L1StreakW1
1-4-0Home Record3-3-0
5-1-0Home Record5-0-0
5-4-1Last 10 Games7-3-0
2.64Goals Per Game3.82
2.82Goals Against Per Game2.36
33.33%Power Play Percentage36.36%
71.43%Penalty Kill Percentage63.16%
Toronto Marlies
8-3-0, 16pts
5
FINAL
1 Belleville Senators
6-5-0, 12pts
Team Stats
W1StreakL1
3-3-0Home Record1-4-0
5-0-0Home Record5-1-0
7-3-0Last 10 Games5-4-1
3.82Goals Per Game2.64
2.36Goals Against Per Game2.82
36.36%Power Play Percentage33.33%
63.16%Penalty Kill Percentage71.43%
Team Leaders
Brett SeneyGoals
Brett Seney
9
Joey AndersonAssists
Joey Anderson
12
Joey AndersonPoints
Joey Anderson
17
Parker WotherspoonPlus/Minus
Parker Wotherspoon
11
Erik KallgrenWins
Erik Kallgren
7
Erik KallgrenSave Percentage
Erik Kallgren
0.927

Team Stats
Goals For
42
3.82 GFG
Shots For
380
34.55 Avg
Power Play Percentage
36.4%
12 GF
Offensive Zone Start
37.7%
Goals Against
26
2.36 GAA
Shots Against
324
29.45 Avg
Penalty Kill Percentage
63.2%%
7 GA
Defensive Zone Start
34.0%
Team Info

General ManagerAlbin Cöster
CoachSheldon Keefe
DivisionNorth Division
ConferenceEastern Conference
CaptainMichael Amadio
Assistant #1Travis Dermott
Assistant #2


Arena Info

Capacity3,000
Attendance2,973
Season Tickets300


Roster Info

Pro Team28
Farm Team20
Contract Limit48 / 60
Prospects14


Team History

This Season8-3
History88-46-20 (0.571%)
Playoff Appearances2
Playoff Record (W-L)10-7
Stanley Cup0


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 #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
1Joey Anderson0X100.007343999270718267256375762560606685680251750,000$
2Michael Amadio (C)0XX100.007143957374627968466779652569696788660272762,500$
3Brett Seney0XX100.006661717761788171806872616255556391650271750,000$
4Tim Gettinger0X100.008483796784676964506362675748486081630251750,000$
5Brendan Perlini0XX100.008379858480494759505065656250506088620271937,500$
6Nicholas Robertson0X100.007642997761585168566466682550506489620222796,667$
7Max McCormick0X100.006867726767778067506465616355556390620312953,125$
8Bobby McMann0X100.008075816176676868495875657048486583610272762,500$
9Curtis Douglas (R)0X100.008194386697748148634450624848485290600232837,500$
10Walker Duehr0X100.008646966279568156306075532550506688590261750,000$
11Nick Abruzzese (R)0XX100.007162916562687062786158625545456337580241850,000$
12Adam Brooks0X100.006762846962606059776155585452535790570272762,500$
13Travis Dermott (A)0X100.0073439482746457562541487625687056846302711,500,000$
14Alex Petrovic0X100.008181757081808754254548644448485484620311937,500$
15Parker Wotherspoon0X100.006842916364626561254849752549495486590261937,500$
16William Villeneuve (R)0X100.007166806669727852254841593948485091570213817,778$
17Mac Hollowell0X100.006861876862565655255637593748485091560251750,000$
18Mikko Kokkonen (R)0X100.007472786772606446253740603745445050550223846,667$
Scratches
1Samuel Laberge0X100.007476696876596154504757625444445820570261937,500$
2Mikhail Abramov (R)0X100.007161986664727655715155585347475777570222809,444$
3Connor Ford0X100.007668936968656951504751624844445820560251750,000$
4Shawn Element (R)0X100.006470506970616355694758575544445720550231750,000$
5Mitchell Hoelscher (R)0X100.007365906665596153664656615344445820550231750,000$
6Alex Whelan0X100.007976876476494950504846634444445420550261750,000$
7Filip Kral (R)0X100.007669915969586147253742614044445220540241810,000$
TEAM AVERAGE100.00746483697164685847535763455050586759
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 #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Erik Kallgren0100.00645554757554746568637550506090640271750,000$
2Luke Richardson (R)0100.00725859665060615552525644446487560241937,500$
Scratches
1Jett Alexander0100.00505560775249585446595544445524530241937,500$
TEAM AVERAGE100.0062565873595464585558624646606758
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Sheldon Keefe60508050996050CAN441500,000$


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
1Joey AndersonToronto Marlies (TOR)RW1151217915151585711268.77%321119.24314722000001033.33%18258001.6100021103
2Brett SeneyToronto Marlies (TOR)C/LW11971693315162137173824.32%421319.45134222000025163.30%21871001.5000102111
3Tim GettingerToronto Marlies (TOR)LW11481285745191119101221.05%319617.872243190002110037.50%1653001.2200234001
4Michael AmadioToronto Marlies (TOR)C/RW114610-100131630182813.33%719818.052462230001110032.26%3174001.0100000100
5Nicholas RobertsonToronto Marlies (TOR)LW113581551611419247.32%320418.601232230001120047.06%17106000.7800100010
6Bobby McMannToronto Marlies (TOR)C11448-1484015111891222.22%818016.401454200002100141.95%17412000.8900233001
7Parker WotherspoonToronto Marlies (TOR)D11077115572220850%1625122.83011125000013000%024000.5600001000
8Max McCormickToronto Marlies (TOR)LW114374211510623101217.39%314413.1000004000001033.33%350000.9700210100
9Alex PetrovicToronto Marlies (TOR)D1115625450231184512.50%723521.38112124000010000%058000.5100226000
10Brendan PerliniToronto Marlies (TOR)LW/RW11134225251111297153.45%116214.7600008000031036.84%19155000.4900113000
11Travis DermottToronto Marlies (TOR)D1104405510157590%1526624.23033024000013000%0015000.3000010010
12Adam BrooksToronto Marlies (TOR)C11123-1559819455.26%112511.4200000000000051.85%5434000.4800100101
13Walker DuehrToronto Marlies (TOR)RW11213-2001791851711.11%212611.460000000000010%153000.4800000010
14Curtis DouglasToronto Marlies (TOR)C112135524026941650.00%413011.9000000000000046.67%9001000.4600323001
15William VilleneuveToronto Marlies (TOR)D1111253735211316556.25%720618.7900005000012000%024000.1900403000
16Mikko KokkonenToronto Marlies (TOR)D1110123430221312368.33%920318.4610111800000000%0010000.1000105010
17Nick AbruzzeseToronto Marlies (TOR)C/LW9000-1001312142120%210611.8200000000000071.43%75200000000000
18Mikhail AbramovToronto Marlies (TOR)C2000000110000%02010.1900000000000042.86%70000000000000
19Mac HollowellToronto Marlies (TOR)D11000322104138440%1219217.480000000000000%02900000200000
Team Total or Average19842691115541834026822138013224111.05%107337617.051221332324400061028349.92%6559989000.6600221531558
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
1Erik KallgrenToronto Marlies (TOR)107200.9272.055860020275160000092220
2Luke RichardsonToronto Marlies (TOR)21100.8783.96910064924000029000
Team Total or Average128300.9202.3067800263241840001111220


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam BrooksToronto Marlies (TOR)C271996-12-31No174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Link / NHL Link
Alex PetrovicToronto Marlies (TOR)D311992-12-31No216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Link
Alex WhelanToronto Marlies (TOR)RW261997-12-31No212 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Bobby McMannToronto Marlies (TOR)C271996-12-31No205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Link / NHL Link
Brendan PerliniToronto Marlies (TOR)LW/RW271996-12-31No211 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Link / NHL Link
Brett SeneyToronto Marlies (TOR)C/LW271996-12-31No174 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Connor FordToronto Marlies (TOR)RW251998-12-31No187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Curtis DouglasToronto Marlies (TOR)C232000-12-31Yes248 Lbs6 ft9NoNoN/ANoNo2FalseFalsePro & Farm837,500$0$0$No837,500$--------No--------Link / NHL Link
Erik KallgrenToronto Marlies (TOR)G271996-12-31No190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Filip KralToronto Marlies (TOR)D241999-12-31Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm810,000$0$0$No------------------Link / NHL Link
Jett AlexanderToronto Marlies (TOR)G241999-12-31 17:43:38No214 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------
Joey AndersonToronto Marlies (TOR)RW251998-12-31No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Luke RichardsonToronto Marlies (TOR)G241999-12-31 19:20:39Yes170 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------
Mac HollowellToronto Marlies (TOR)D251998-12-31No170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Max McCormickToronto Marlies (TOR)LW311992-12-31No188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm953,125$0$0$No953,125$--------No--------Link / NHL Link
Michael AmadioToronto Marlies (TOR)C/RW271996-12-31No204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Link / NHL Link
Mikhail AbramovToronto Marlies (TOR)C222001-12-31Yes160 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm809,444$0$0$No809,444$--------No--------Link / NHL Link
Mikko KokkonenToronto Marlies (TOR)D222001-12-31Yes200 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------NoNo-------
Mitchell HoelscherToronto Marlies (TOR)C232000-12-31Yes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link
Nicholas RobertsonToronto Marlies (TOR)LW222001-12-31No162 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm796,667$0$0$No796,667$--------No--------Link / NHL Link
Nick AbruzzeseToronto Marlies (TOR)C/LW241999-12-31Yes174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------
Parker WotherspoonToronto Marlies (TOR)D261997-12-31No172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Link / NHL Link
Samuel LabergeToronto Marlies (TOR)LW261997-12-31No205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Link / NHL Link
Shawn ElementToronto Marlies (TOR)C232000-12-31Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Tim GettingerToronto Marlies (TOR)LW251998-12-31No218 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
Travis DermottToronto Marlies (TOR)D271996-12-31No205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No------------------Link / NHL Link
Walker DuehrToronto Marlies (TOR)RW261997-12-31No210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Link / NHL Link
William VilleneuveToronto Marlies (TOR)D212002-12-31Yes175 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm817,778$0$0$No817,778$817,778$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.25192 Lbs6 ft11.39844,060$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tim GettingerBrett SeneyJoey Anderson32014
2Nicholas RobertsonBobby McMannMichael Amadio28113
3Max McCormickCurtis DouglasBrendan Perlini23122
4Nick AbruzzeseAdam BrooksWalker Duehr17122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex PetrovicTravis Dermott38122
2William VilleneuveParker Wotherspoon32032
3Mikko KokkonenMac Hollowell30131
4Alex PetrovicTravis Dermott0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nicholas RobertsonBrett SeneyJoey Anderson50005
2Tim GettingerBobby McMannMichael Amadio50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko KokkonenTravis Dermott50023
2Alex PetrovicParker Wotherspoon50023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael AmadioNicholas Robertson50140
2Bobby McMannTim Gettinger50140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1William VilleneuveTravis Dermott50140
2Alex PetrovicParker Wotherspoon50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nicholas Robertson50050William VilleneuveTravis Dermott50140
2Tim Gettinger50050Alex PetrovicParker Wotherspoon50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett SeneyMichael Amadio50122
2Bobby McMannTim Gettinger50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko KokkonenTravis Dermott50122
2Alex PetrovicParker Wotherspoon50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brett SeneyMichael AmadioJoey AndersonAlex PetrovicTravis Dermott
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brett SeneyMichael AmadioJoey AndersonAlex PetrovicTravis Dermott
Extra Forwards
Normal PowerPlayPenalty Kill
Brendan Perlini, Max McCormick, Nicholas RobertsonBrendan Perlini, Max McCormickBrendan Perlini
Extra Defensemen
Normal PowerPlayPenalty Kill
Parker Wotherspoon, William Villeneuve, Mac HollowellParker WotherspoonParker Wotherspoon, William Villeneuve
Penalty Shots
Joey Anderson, Michael Amadio, Brett Seney, Tim Gettinger, Brendan Perlini
Goalie
#1 : Erik Kallgren, #2 : Luke Richardson


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
1Abbotsford Canucks5410000023131032100000139422000000104680.8002338610092391148120131119101364419514317741.18%10550.00%012824751.82%11122349.78%8818547.57%252142213101214109
2Belleville Senators64200000191363120000089-133000000114780.6671931500092391232120131119101886322312516531.25%9277.78%012824751.82%11122349.78%8818547.57%252142213101214109
Total11830000042261663300000211835500000021813160.7274269111009239138012013111910324107418268331236.36%19763.16%012824751.82%11122349.78%8818547.57%252142213101214109
_Since Last GM Reset11830000042261663300000211835500000021813160.7274269111009239138012013111910324107418268331236.36%19763.16%012824751.82%11122349.78%8818547.57%252142213101214109
_Vs Conference11830000042261663300000211835500000021813160.7274269111009239138012013111910324107418268331236.36%19763.16%012824751.82%11122349.78%8818547.57%252142213101214109

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1116W1426911138032410741826800
All Games
GPWLOTWOTL SOWSOLGFGA
118300004226
Home Games
GPWLOTWOTL SOWSOLGFGA
63300002118
Visitor Games
GPWLOTWOTL SOWSOLGFGA
5500000218
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
331236.36%19763.16%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1201311191092391
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12824751.82%11122349.78%8818547.57%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
252142213101214109


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
12Abbotsford Canucks2Toronto Marlies5WBoxScore
310Abbotsford Canucks5Toronto Marlies2LBoxScore
518Toronto Marlies5Abbotsford Canucks3WBoxScore
726Toronto Marlies5Abbotsford Canucks1WBoxScore
934Abbotsford Canucks2Toronto Marlies6WBoxScore
1557Belleville Senators3Toronto Marlies2LBoxScore
1761Belleville Senators3Toronto Marlies4WBoxScore
1965Toronto Marlies3Belleville Senators1WBoxScore
2169Toronto Marlies3Belleville Senators2WXBoxScore
2373Belleville Senators3Toronto Marlies2LBoxScore
2577Toronto Marlies5Belleville Senators1WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance12,0005,837
Attendance PCT100.00%97.28%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
30 2973 - 99.09% 102,488$614,925$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,363,369$ 2,363,369$ 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$ 2 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
1Michael Amadio148586412245618316752311.09%55272918.442332555400076845.82%20.89220
2Brett Seney1424871119725120718444310.84%50259418.2716233932000511356.22%00.92614
3Joey Anderson148545911331461721695479.87%66254517.2015243940000010440.00%00.89824
4Bobby McMann148286189726726621917116.37%46269818.23724311201165249.33%00.6612
5Tim Gettinger148243256212592021302659.06%34219214.815712700047053.26%00.5134

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
2Luke Richardson21100.9143.0311900670400100
3Joseph Woll40000.8753.1911300648290000

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
Total Regular Season148624601151593693373274342305273194167277428230638617517051903695799486106714812838436112691533151612439851333332832513789926.19%2949368.37%21439292149.26%1315266349.38%986192651.19%306615982925146530201495
Playoff
2022624000001115-43210000065130300000510-5411223300235114039504921644811011812433.33%20860.00%0369737.11%6412551.20%327145.07%117541176213065
202311830000042261663300000211835500000021813164269111009239138012013111910324107418268331236.36%19763.16%012824751.82%11122349.78%8818547.57%252142213101214109
Total Playoff17107000005341129540000027234853000002618820539114400112614252015918116812488155528386451635.56%391561.54%016434447.67%17534850.29%12025646.88%370196330163345175

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 Anderson175172210252117736.85%731718.65347700001034.78%01.3900
2Brett Seney17971683923264420.45%426915.85134200015162.08%01.1900
3Tim Gettinger17591475725182420.83%628116.56224300020036.36%00.9900
4Michael Amadio175712-2019194311.63%1030718.08257300010038.60%00.7800
5Bobby McMann174812-15321222615.38%1228416.76178400040147.94%00.8400

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 Kallgren169510.9202.2195000354392430000
2Luke Richardson21100.8783.969100649240000