Maple Leafs

GM : Daniel Stankovic Morale : 53 Team Overall : 65
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Patrick KaneX100.00624197977896849968626162789291044780
2Joe PavelskiXXX100.00744485918494999798545968718787054780
3Aleksander BarkovX100.00644398878693808692535671787474054740
4Blake ComeauXX100.00804579816987827186484671757374054690
5James van RiemsdykX100.00674486877395788061495262637073054690
6David DesharnaisX100.00624187806083857388484661806971054660
7Nikolaj Ehlers (R)XX100.00615187896484687862484860505353054640
8Tanner GlassX100.00879958678772796560394163507174054640
9Matt NietoXX100.00624286806374796659434468506364054630
10Jordan SchroederXX100.00604168754952656260404059535758054560
11Ryan DzingelXXX100.00716567635354656160424159504646054550
12Mark GiordanoX100.00714378927196888525524981859296054760
13Paul MartinX100.00704786839184926925464080509093054730
14Sami VatanenX100.00744386917186868125514578907569054720
15Justin BraunX100.00744483847284907125474079506870054690
16Damon SeversonX100.00714483857477797625473971506966057670
17Dalton ProutX100.00828861768373806925414076506364056660
18Ryan MurphyX100.00724285856675807625463871506666054660
19Ben Harpur (R)X100.00608266666359645325252759504747057510
Scratches
1Manny MalhotraXX100.00797678705858615465353658508587048590
2Tom KostopoulosX100.00597162605470676175383759507576048570
3Rich CluneXX100.00799958665650616357423858505960048570
4John ScottX100.00729656616049616357393958506566048560
5Matt FrattinXX100.00597462695669665773363458505960048550
6Blair JonesXXX100.00697964705962625770333755505960048550
7Tyson StrachanX100.00608066726366695725313059506263048560
8Dylan ReeseX100.00587565626057606425383459505454048540
TEAM AVERAGE100.0069617577687475705343426558686905264
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 SP
1Ben Bishop99.0077909899838478808281758687054830
2Anders Lindback100.0069759279676369607286597571054710
Scratches
TEAM AVERAGE99.507383958975747470778467817905477
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jon Cooper87858485747474CAN4841,000,000$


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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Patrick KaneMaple LeafsMaple LeafsRW4178300012458.33%117.:.4502200000033.33%370002.2511
2Joe PavelskiMaple LeafsMaple LeafsC/LW/RW4448020815121826.67%325.:.25112000130055.29%85112011.5701
3Mark GiordanoMaple LeafsMaple LeafsD43251558126925.00%1027.:.161010007010.00%046100.9211
4Blake ComeauMaple LeafsMaple LeafsLW/RW4235420670128.57%118.:.1100010121050.00%412001.3701
5Aleksander BarkovMaple LeafsMaple LeafsC4134100317275.88%519.:.5801101141052.46%61131001.0001
6Nikolaj EhlersMaple LeafsMaple LeafsLW/RW4213020661533.33%219.:.231010001000.00%252000.7700
7Paul MartinMaple LeafsMaple LeafsD4112020351220.00%921.:.4200000010000.00%034000.4600
8James van RiemsdykMaple LeafsMaple LeafsLW402200068170.00%118.:.310110000000.00%3100000.5402
9Damon SeversonMaple LeafsMaple LeafsD401120031120.00%413.:.270000110000.00%003000.3700
10Tanner GlassMaple LeafsMaple LeafsLW4011220101020.00%014.:.10000000000100.00%201000.3500
11Matt NietoMaple LeafsMaple LeafsLW/RW4101100164416.67%114.:.2400000050016.67%612000.3500
12Ryan MurphyMaple LeafsMaple LeafsD401110053230.00%514.:.530000005000.00%005000.3400
13Justin BraunMaple LeafsMaple LeafsD4101040663216.67%818.:.460000007010.00%006000.2700
14Ben HarpurMaple LeafsMaple LeafsD400022031010.00%204.:.550000002000.00%001000.0000
15Dalton ProutMaple LeafsMaple LeafsD300000000000.00%000.:.000000000000.00%000000.0000
16David DesharnaisMaple LeafsMaple LeafsC400000017470.00%317.:.38000000160047.83%2382000.0000
17Ryan DzingelMaple LeafsMaple LeafsC/LW/RW4000-12010010.00%206.:.080000000000.00%011000.0000
18Sami VatanenMaple LeafsMaple LeafsD4000100411760.00%621.:.0500000010000.00%026000.0001
19Jordan SchroederMaple LeafsMaple LeafsC/RW4000-10020200.00%106.:.0200000000050.00%2201000.0000
Team Total or Average75162642162357687118508213.56%64119815.99358141011233862250.71%2116645110.7028000213
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
1Ben BishopMaple LeafsMaple Leafs430190.5%2.932460012126650085.7%740010
Team Total or Average43010.9052.93246001212665000.857740010


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 POS Age Birthday Rookie Weight Height No Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Aleksander BarkovC2102.09.1995 16:26:23No213 Lbs6 ft3NoNo1Pro & Farm1,500,000$0$Link
Anders LindbackG2803.01.1988No215 Lbs6 ft6NoNo1Pro Only800,000$0$Link
Ben BishopG2921.11.1986No209 Lbs6 ft7YesNo4Pro & Farm6,000,000$0$6,000,000$6,000,000$6,000,000$Link
Ben HarpurD2112.01.1995 15:44:24Yes214 Lbs6 ft6NoNo9Pro & Farm100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Blair JonesC/LW/RW3027.09.1986No216 Lbs6 ft2NoNo1Pro & Farm500,000$0$Link
Blake ComeauLW/RW3018.02.1986No202 Lbs6 ft1NoNo3Pro & Farm2,400,000$0$2,400,000$2,400,000$Link
Dalton Prout (1 Way Contract)D2613.03.1990 0:09:41No222 Lbs6 ft3NoNo3Pro & Farm1,200,000$0$1,200,000$1,200,000$Link
Damon SeversonD2207.08.1994 1:31:41No205 Lbs6 ft2NoNo2Pro & Farm1,300,000$0$1,300,000$Link
David DesharnaisC3014.09.1986No186 Lbs5 ft7NoNo1Pro & Farm3,000,000$0$Link
Dylan ReeseD3229.08.1984No205 Lbs6 ft1NoNo1Pro & Farm500,000$0$Link
James van RiemsdykLW2704.05.1989No200 Lbs6 ft3NoNo3Pro & Farm4,600,000$0$4,600,000$4,600,000$Link
Joe PavelskiC/LW/RW3211.07.1984No190 Lbs5 ft11NoNo3Pro & Farm7,000,000$0$7,000,000$7,000,000$Link
John ScottLW3426.09.1982No260 Lbs6 ft8NoNo1Pro & Farm500,000$0$Link
Jordan SchroederC/RW2629.09.1990No176 Lbs5 ft9NoNo1Pro & Farm800,000$0$Link
Justin BraunD2910.02.1987No205 Lbs6 ft2NoNo3Pro & Farm3,600,000$0$3,600,000$3,600,000$Link
Manny MalhotraC/LW3618.05.1980No207 Lbs6 ft2NoNo1Pro & Farm700,000$0$Link
Mark GiordanoD3303.10.1983No200 Lbs6 ft0NoNo4Pro & Farm6,500,000$0$6,500,000$6,500,000$6,500,000$Link
Matt FrattinLW/RW2803.01.1988 14:41:30No205 Lbs6 ft0NoNo1Pro & Farm700,000$0$Link
Matt NietoLW/RW2305.11.1992 2:46:41No190 Lbs5 ft11NoNo1Pro & Farm1,000,000$0$Link
Nikolaj EhlersLW/RW2014.02.1996 14:55:11Yes168 Lbs6 ft0NoNo3Pro & Farm1,700,000$0$1,700,000$1,700,000$Link
Patrick KaneRW2719.11.1988No177 Lbs5 ft11YesNo3Pro & Farm10,000,000$0$10,000,000$10,000,000$Link
Paul MartinD3505.03.1981No200 Lbs6 ft1NoNo1Pro & Farm3,800,000$0$Link
Rich CluneLW/RW2925.04.1987No207 Lbs5 ft10NoNo1Pro & Farm500,000$0$Link
Ryan DzingelC/LW/RW2409.03.1992No188 Lbs6 ft0NoNo1Pro & Farm1,200,000$0$Link
Ryan MurphyD2331.03.1993 2:48:17No185 Lbs5 ft11NoNo1Pro & Farm1,200,000$0$Link
Sami VatanenD2503.06.1991 2:49:08No180 Lbs5 ft10NoNo1Pro & Farm3,100,000$0$Link
Tanner GlassLW3229.11.1983No210 Lbs6 ft1NoNo1Pro Only1,000,000$0$Link
Tom KostopoulosRW3724.01.1979No197 Lbs6 ft0NoNo1Pro & Farm500,000$0$Link
Tyson StrachanD3130.10.1984No215 Lbs6 ft3NoNo1Pro & Farm500,000$0$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2928.28202 Lbs6 ft122,282,759$



5 vs 5 Forward
Line #CenterLeft WingRight WingTime %PHYDFOF
1Joe PavelskiBlake ComeauPatrick Kane40122
2Aleksander BarkovJames van RiemsdykNikolaj Ehlers30122
3David DesharnaisTanner GlassMatt Nieto20122
4Jordan SchroederRyan DzingelJoe Pavelski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark GiordanoPaul Martin40122
2Sami VatanenJustin Braun30122
3Damon SeversonRyan Murphy20122
4Ben HarpurMark Giordano10122
Power Play Forward
Line #CenterLeft WingRight WingTime %PHYDFOF
1Joe PavelskiBlake ComeauPatrick Kane60122
2Aleksander BarkovJames van RiemsdykNikolaj Ehlers40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark GiordanoSami Vatanen60122
2Paul MartinJustin Braun40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joe PavelskiDavid Desharnais60122
2Aleksander BarkovBlake Comeau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark GiordanoPaul Martin60122
2Sami VatanenJustin Braun40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joe Pavelski60122Mark GiordanoPaul Martin60122
2Patrick Kane40122Sami VatanenJustin Braun40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joe PavelskiPatrick Kane60122
2Aleksander BarkovJames van Riemsdyk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark GiordanoPaul Martin60122
2Sami VatanenJustin Braun40122
Last Minutes Offensive
CenterLeft WingRight WingDefenseDefense
Joe PavelskiBlake ComeauPatrick KaneMark GiordanoPaul Martin
Last Minutes Defensive
CenterLeft WingRight WingDefenseDefense
Joe PavelskiBlake ComeauPatrick KaneMark GiordanoPaul Martin
Extra Forwards
Normal PowerPlayPenalty Kill
David Desharnais, Tanner Glass, Matt NietoDavid Desharnais, Tanner GlassMatt Nieto
Extra Defensemen
Normal PowerPlayPenalty Kill
Damon Severson, Ryan Murphy, Ben HarpurDamon SeversonRyan Murphy, Ben Harpur
Penalty Shots
Joe Pavelski, Patrick Kane, Aleksander Barkov, Blake Comeau, James van Riemsdyk
Goalie
#1 : Ben Bishop, #2 : Anders Lindback


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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1Maple LeafsSenators1000010012-110.50012300010030771423711621300.00%30100.00%0276541.54%528958.43%285749.12%2114267146
2Maple LeafsBlues1100000074321.0007111800043031121270262811184250.00%5180.00%1276541.54%528958.43%285749.12%2213218168
3Maple LeafsBlackhawks1000001065121.00069150011322575101035112202150.00%10100.00%0276541.54%528958.43%285749.12%2012269178
4Maple LeafsKings1100000031221.000347000120321014802814417300.00%3166.67%0276541.54%528958.43%285749.12%2416217137
Vs Division1000010012-110.50012300010030771423711621300.00%30100.00%0276541.54%528958.43%285749.12%2114267146
Vs Conference1000010012-110.50012300010030771423711621300.00%30100.00%0276541.54%528958.43%285749.12%2114267146
Since Last GM Reset420001101712570.8751726430017821183638391212664237612325.00%12283.33%1276541.54%528958.43%285749.12%895695326231
Total420001101712570.8751726430017821183638391212664237612325.00%12283.33%1276541.54%528958.43%285749.12%895695326231

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
47SOW117264311812664237600
All Games
GPWLOTWOTL SOWSOLGFGA
42001101712
Home Games
GPWLOTWOTL SOWSOLGFGA
2100010139
Visitor Games
GPWLOTWOTL SOWSOLGFGA
210010043
Last 10 Games
WLOTWOTL SOWSOL
200110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
12325.00%12283.33%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
363839121782
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
276541.54%528958.43%285749.12%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
895695326231


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
DateMatchup Result Detail
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Nov 22Maple Leafs@Maple LeafsMaple Leafs3,Kings1RECAP
Sat, Nov 23Maple Leafs@Maple LeafsMaple Leafs1,Senators2 (OT)RECAP
Tue, Nov 26Maple Leafs@Maple LeafsBlues4,Maple Leafs7RECAP
Wed, Nov 27Maple Leafs@Maple LeafsBlackhawks5,Maple Leafs6 (SO)RECAP



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity71513764470518821317
Ticket Price90553525180
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$18819100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
66,200,000$ 19,615,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
0$ 0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estime
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 36,054,746$ 36,054,746$



Depth Chart

Left WingCenterRight Wing
Joe PavelskiAGE:32PO:0OV:78
Blake ComeauAGE:30PO:0OV:69
James van RiemsdykAGE:27PO:0OV:69
*Nikolaj EhlersAGE:20PO:0OV:64
Tanner GlassAGE:32PO:0OV:64
Matt NietoAGE:23PO:0OV:63
Manny MalhotraAGE:36PO:0OV:59
Rich CluneAGE:29PO:0OV:57
John ScottAGE:34PO:0OV:56
Matt FrattinAGE:28PO:0OV:55
Blair JonesAGE:30PO:0OV:55
Ryan DzingelAGE:24PO:0OV:55
Chase BalisyAGE:24PO:0OV:52
*Cole UllyAGE:21PO:0OV:51
*Ben JohnsonAGE:22PO:0OV:51
Greger HansonAGE:28PO:0OV:48
Mike LiambasAGE:27PO:0OV:46
Joe PavelskiAGE:32PO:0OV:78
Aleksander BarkovAGE:21PO:0OV:74
David DesharnaisAGE:30PO:0OV:66
Manny MalhotraAGE:36PO:0OV:59
*Mark McNeillAGE:23PO:0OV:59
Jordan SchroederAGE:26PO:0OV:56
Blair JonesAGE:30PO:0OV:55
Ryan DzingelAGE:24PO:0OV:55
*Brayden IrwinAGE:28PO:0OV:55
Chase BalisyAGE:24PO:0OV:52
Blake ColemanAGE:24PO:0OV:50
Shane BakkerAGE:28PO:0OV:48
Ryan CruthersAGE:32PO:0OV:46
Patrick KaneAGE:27PO:0OV:78
Joe PavelskiAGE:32PO:0OV:78
Blake ComeauAGE:30PO:0OV:69
*Nikolaj EhlersAGE:20PO:0OV:64
Matt NietoAGE:23PO:0OV:63
*Mark McNeillAGE:23PO:0OV:59
Tom KostopoulosAGE:37PO:0OV:57
Rich CluneAGE:29PO:0OV:57
Jordan SchroederAGE:26PO:0OV:56
Matt FrattinAGE:28PO:0OV:55
Blair JonesAGE:30PO:0OV:55
Ryan DzingelAGE:24PO:0OV:55
Chase BalisyAGE:24PO:0OV:52
Kenny RyanAGE:25PO:0OV:52
*Cole UllyAGE:21PO:0OV:51
*Justin HollAGE:24PO:0OV:51
Joel RechliczAGE:29PO:0OV:47

Defense #1Defense #2Goalie
Mark GiordanoAGE:33PO:0OV:76
Paul MartinAGE:35PO:0OV:73
Sami VatanenAGE:25PO:0OV:72
Justin BraunAGE:29PO:0OV:69
Damon SeversonAGE:22PO:0OV:67
Dalton ProutAGE:26PO:0OV:66
Ryan MurphyAGE:23PO:0OV:66
*Darren DietzAGE:23PO:0OV:63
Tyson StrachanAGE:31PO:0OV:56
*Anthony DeAngeloAGE:20PO:0OV:55
Dylan ReeseAGE:32PO:0OV:54
*Calle AnderssonAGE:22PO:0OV:53
*Ben HarpurAGE:21PO:0OV:51
*Jan KostalekAGE:21PO:0OV:51
*Justin HollAGE:24PO:0OV:51
*Robert HaggAGE:21PO:0OV:51
Ben BishopAGE:29PO:0OV:83
Anders LindbackAGE:28PO:0OV:71
Jeff LergAGE:30PO:0OV:65
*Mason McDonaldAGE:20PO:0OV:63
*Pat NagleAGE:29PO:0OV:50

Prospects

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
Prospect Team NameDraft Year Overall Pick Information Lien
Andrew EngelageMaple Leafs
Anthony CirelliMaple Leafs2015112
Blake KesselMaple Leafs
Brendan O'DonnellMaple Leafs
Brett HowdenMaple Leafs201619
Chaz ReddekoppMaple Leafs2015215
Chris MartenetMaple Leafs2015119
Dale MitchellMaple Leafs
Daniel VladarMaple Leafs201589
Eetu TuulolaMaple Leafs201679
Eric KnodelMaple Leafs
Eric RoyMaple Leafs2013128
Evan CowleyMaple Leafs2013173
Fredrik Pettersson-WentzelMaple Leafs
Gabriel BeaupreMaple Leafs
Grant RollheiserMaple Leafs
Greg ScottMaple Leafs
Jack DoughertyMaple Leafs201436
Jacob MiddletonMaple Leafs2014148
Jeremy LauzonMaple Leafs201556
Jerome FlaakeMaple Leafs
Joe BasarabaMaple Leafs
John WestinMaple Leafs
Jonne TammelaMaple Leafs2015179
Josh NichollsMaple Leafs
Juraj MikusMaple Leafs
Kelly SummersMaple Leafs2014210
Marcel MullerMaple Leafs
Markus NiemelainenMaple Leafs201660
Max GardinerMaple Leafs
Nick SeelerMaple Leafs2011153
Oskar LindblomMaple Leafs201496
Pierre EngvallMaple Leafs2014186
Ryan DonatoMaple Leafs201449
Ryan ManthaMaple Leafs2014156
Spencer AbbottMaple Leafs
Tommi KivistoMaple Leafs
Vojtech BudikMaple Leafs2016199

Draft Picks

Year R1R2R3R4R5R6R7
2017TOR CAR TOR TOR TOR TOR TOR
2018CAR TOR TOR TOR TOR TOR TOR TOR
2019TOR TOR TOR TOR TOR TOR TOR
2020TOR TOR TOR TOR TOR TOR TOR
2021TOR TOR TOR TOR TOR TOR TOR



[12.09.2016 4:51:47] - Maple Leafs drafts Markus Niemelainen as the #60 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:10:21] - Anders Lindback was added to Maple Leafs.
[14.09.2016 7:10:21] - Anders Lindback signed with Maple Leafs for 800 000 Kč for 1 year(s) with 0 Kč in bonus.
[14.09.2016 7:25:37] - Maple Leafs drafts Eetu Tuulola as the #79 overall pick in the Entry Draft of year 2016.
[20.09.2016 5:55:39] - Anthony DeAngelo was added to Maple Leafs.
[20.09.2016 5:55:40] - TRADE : From Hurricanes to Maple Leafs : Anthony DeAngelo (54), Y:2017-RND:2-CAR, Y:2018-RND:1-CAR.
[20.09.2016 5:55:40] - TRADE : From Maple Leafs to Hurricanes : Phil Kessel (71), Dennis Wideman (69).
[22.09.2016 7:42:34] - Maple Leafs drafts MISSED PICK as the #109 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:44:42] - Marlies hired Sheldon Keefe for 100 000 Kč for 5 year(s).
[06.10.2016 6:58:24] - Maple Leafs drafts MISSED PICK as the #167 overall pick in the Entry Draft of year 2016.
[06.10.2016 6:58:46] - Maple Leafs drafts MISSED PICK as the #169 overall pick in the Entry Draft of year 2016.
[10.10.2016 12:16:42] - Maple Leafs drafts Vojtech Budik as the #199 overall pick in the Entry Draft of year 2016.
[12.10.2016 6:21:45] - TRADE : From Maple Leafs to Senators : MISSED PICK (P), MISSED PICK (P).
[12.10.2016 6:21:45] - TRADE : From Senators to Maple Leafs : 3 000 000 Kč (Money).
[12.10.2016 6:24:44] - TRADE : From Maple Leafs to Avalanche : MISSED PICK (P).
[12.10.2016 6:24:44] - TRADE : From Avalanche to Maple Leafs : 1 000 000 Kč (Money).
[15.10.2016 7:20:16] - Mason McDonald was added to Maple Leafs.
[15.10.2016 7:24:32] - Mike Liambas was added to Maple Leafs.
[15.10.2016 7:24:32] - Mike Liambas signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:01] - Ryan Cruthers was added to Maple Leafs.
[15.10.2016 7:25:01] - Ryan Cruthers signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:15] - Greger Hanson was added to Maple Leafs.
[15.10.2016 7:25:15] - Greger Hanson signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:30] - Joel Rechlicz was added to Maple Leafs.
[15.10.2016 7:25:30] - Joel Rechlicz signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:25:55] - Shane Bakker was added to Maple Leafs.
[15.10.2016 7:25:55] - Shane Bakker signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 7:27:19] - Pat Nagle was added to Maple Leafs.
[15.10.2016 7:27:19] - Pat Nagle signed with Maple Leafs for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.
[15.10.2016 22:24:42] - Dalton Prout was added to Maple Leafs.
[15.10.2016 22:24:42] - TRADE : From Maple Leafs to Kings : Y:2017-RND:3-TOR.
[15.10.2016 22:24:42] - TRADE : From Kings to Maple Leafs : Dalton Prout (66).
[16.10.2016 22:57:19] - Dylan Reese was added to Maple Leafs.
[16.10.2016 22:57:19] - Dylan Reese signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:57:33] - Tyson Strachan was added to Maple Leafs.
[16.10.2016 22:57:33] - Tyson Strachan signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:57:46] - Jeff Lerg was added to Maple Leafs.
[16.10.2016 22:57:46] - Jeff Lerg signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:57:58] - Blair Jones was added to Maple Leafs.
[16.10.2016 22:57:58] - Blair Jones signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:58:12] - Matt Frattin was added to Maple Leafs.
[16.10.2016 22:58:12] - Matt Frattin signed with Maple Leafs for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:22:20] - Rich Clune was added to Maple Leafs.
[17.10.2016 21:22:20] - Rich Clune signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:23:13] - John Scott was added to Maple Leafs.
[17.10.2016 21:23:13] - John Scott signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:23:26] - Tom Kostopoulos was added to Maple Leafs.
[17.10.2016 21:23:26] - Tom Kostopoulos signed with Maple Leafs for 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[17.10.2016 21:23:38] - Manny Malhotra was added to Maple Leafs.
[17.10.2016 21:23:38] - Manny Malhotra signed with Maple Leafs for 700 000 Kč for 1 year(s) with 0 Kč in bonus.



No Injury or Suspension.


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