Please rotate your device to landscape mode for a better experience.
Login

Thugs
GP: 71 | W: 41 | L: 25 | OTL: 5 | P: 87
GF: 259 | GA: 216 | PP%: 14.04% | PK%: 86.17%
GM : Jean-Philippe Chartier | Morale : 90 | Team Overall : 54
Next Games #1147 vs Igloos

Game Center
Thugs
41-25-5, 87pts		1
Box score
 2 Smirnoff Ice
32-31-11, 75pts
Team Stats
OTL1StreakL1
20-14-3Home Record16-16-5
21-11-2Home Record16-15-6
5-4-1Last 10 Games4-5-1
3.65Goals Per Game2.32
3.04Goals Against Per Game2.84
14.04%Power Play Percentage14.98%
86.17%Penalty Kill Percentage85.87%
CoolFm
38-32-4, 80pts		5
Box score
 4 Thugs
41-25-5, 87pts
Team Stats
L1StreakOTL1
20-15-2Home Record20-14-3
18-17-2Home Record21-11-2
6-3-1Last 10 Games5-4-1
3.34Goals Per Game3.65
3.64Goals Against Per Game3.04
16.36%Power Play Percentage14.04%
83.86%Penalty Kill Percentage86.17%
Thugs
41-25-5, 87pts
Day 93
 Igloos
42-25-8, 92pts
Team Stats
OTL1StreakW6
20-14-3Home Record23-11-2
21-11-2Away Record19-14-6
5-4-1Last 10 Games7-2-1
3.65Goals Per Game3.73
3.04Goals Against Per Game3.73
14.04%Power Play Percentage17.03%
86.17%Penalty Kill Percentage84.24%
Husky
33-31-10, 76pts
Day 94
 Thugs
41-25-5, 87pts
Team Stats
SOL1StreakOTL1
19-13-5Home Record20-14-3
14-18-5Away Record21-11-2
6-2-2Last 10 Games5-4-1
3.04Goals Per Game3.65
3.35Goals Against Per Game3.65
18.56%Power Play Percentage14.04%
83.11%Penalty Kill Percentage86.17%
Thugs
41-25-5, 87pts
Day 95
 Igloos
42-25-8, 92pts
Team Stats
OTL1StreakW6
20-14-3Home Record23-11-2
21-11-2Away Record19-14-6
5-4-1Last 10 Games7-2-1
3.65Goals Per Game3.73
3.04Goals Against Per Game3.73
14.04%Power Play Percentage17.03%
86.17%Penalty Kill Percentage84.24%
Team Leaders
Kole LindGoals
Kole Lind
3		 Kole LindAssists
Kole Lind
1
Kole LindPoints
Kole Lind
4		 Kole LindPlus/Minus
Kole Lind
4

Team Stats
Goals For
259
3.65 GFG		 Shots For
2784
39.21 Avg		 Power Play Percentage
14.0%
48 GF		 Offensive Zone Start
43.4%
Goals Against
216
3.04 GAA		 Shots Against
2268
31.94 Avg		 Penalty Kill Percentage
86.2%%
56 GA		 Defensive Zone Start
38.9%
Team Info

General ManagerJean-Philippe Chartier
CoachGuy Boucher
DivisionDivision Est
ConferenceConference 2
CaptainEvander Kane
Assistant #1Joshua Roy
Assistant #2Samuel Bolduc


Arena Info

Capacity3,000
Attendance2,988
Season Tickets300


Roster Info

Pro Team8
Farm Team21
Contract Limit29 / 50
Prospects25


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
1Samuel Poulin (R)X100.00574592728250404730445063508471090550245775,000$
2Joshua Roy (A)X100.00524592786055404930405859508169090540222900,000$
3Evander Kane (C)X100.005045658378504045304050555092860905403443,000,000$
4Jacob Melanson (R)X100.00504595756850404530405058508168090530225900,000$
5Max ComtoisX100.00504595747450404530405055508575090530265775,000$
6Kole LindX100.00504595776450404530405055508572090520264800,000$
7Logan Brown (R)X100.00504595766050404530405055508572090520271800,000$
8Maxence Guenette (R)X100.00504592785350404530405055508270090550245775,000$
Scratches
TEAM AVERAGE100.0051459077675140463041515750847309054
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Guy Boucher65656565867768CAN5551,000,000$


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 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
1Kole LindThugs (BOS)RW113144200132851110.71%215213.90000316000001037.50%800000.5200000200
2Maxence GuenetteThugs (BOS)D2011-100110000%2136.970000000000000%000001.4400000000
Team Total or Average133253201142851110.71%416612.84000316000001037.50%800000.6000000200
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


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Evander KaneThugs (BOS)LW341991-08-02CANNo218 Lbs6 ft2NoNoTrade2026-03-12NoNo42026-03-08FalseFalsePro & Farm3,000,000$444,444$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------NHL Link
Jacob MelansonThugs (BOS)RW222003-04-22CANYes207 Lbs6 ft0NoNoProspectNoNo52026-03-08FalseFalsePro & Farm900,000$133,333$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----NHL Link
Joshua RoyThugs (BOS)RW222003-08-06CANNo192 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm900,000$133,333$0$0$No900,000$--------900,000$--------No--------NHL Link
Kole LindThugs (BOS)RW261998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo42026-03-08FalseFalsePro & Farm800,000$118,519$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------NHL Link
Logan BrownThugs (BOS)C271998-03-05USAYes218 Lbs6 ft6NoNoN/ANoNo12026-03-08FalseFalsePro & Farm800,000$118,519$0$0$No---------------------------NHL Link
Max ComtoisThugs (BOS)LW261999-01-08CANNo210 Lbs6 ft2NoNoN/ANoNo52026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Maxence GuenetteThugs (BOS)D242001-04-28CANYes181 Lbs6 ft1NoNoN/ANoNo52026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----NHL Link
Samuel PoulinThugs (BOS)LW242001-02-25CANYes208 Lbs6 ft1NoNoN/ANoNo52026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
825.63203 Lbs6 ft23.881,090,625$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
230122
325122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
230122
325122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15512255122
24512245122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
OverallHome Visitor
# 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 RI
1Bandits330000001284220000008531100000043161.00012223400918578712093091791231762330771300.00%14285.71%01426275451.78%1282247151.88%563112749.96%175112701732483798393
2Barracudas2020000046-21010000012-11010000034-100.00048120091857876293091791231811630581516.67%15286.67%01426275451.78%1282247151.88%563112749.96%175112701732483798393
3Bayou21100000954110000006061010000035-220.50091726019185787106930917912316422164616318.75%7271.43%11426275451.78%1282247151.88%563112749.96%175112701732483798393
4Chiwawa211000008621010000056-11100000030320.500815230191857877393091791231501735646116.67%14285.71%01426275451.78%1282247151.88%563112749.96%175112701732483798393
5CoolFm32000100171072100010011921100000061550.833173350009185787123930917912318924507410110.00%14471.43%01426275451.78%1282247151.88%563112749.96%175112701732483798393
6Farmers30100200613-71000010045-12010010028-620.33361218009185787104930917912311182542781800.00%17570.59%01426275451.78%1282247151.88%563112749.96%175112701732483798393
7Goons21001000963100010004311100000053241.000917260091857876793091791231531734539333.33%16287.50%01426275451.78%1282247151.88%563112749.96%175112701732483798393
8Grizzlies311001001015-51000010045-121100000610-430.5001019290091857871029309179123111735558213323.08%24579.17%01426275451.78%1282247151.88%563112749.96%175112701732483798393
9Hunters3300000013310110000005142200000082661.0001325380191857871019309179123112441529414214.29%280100.00%11426275451.78%1282247151.88%563112749.96%175112701732483798393
10Husky211000005501010000023-11100000032120.50051015009185787809309179123143101252600.00%5260.00%01426275451.78%1282247151.88%563112749.96%175112701732483798393
11Igloos1010000003-31010000003-30000000000000.000000009185787329309179123134131218500.00%5260.00%01426275451.78%1282247151.88%563112749.96%175112701732483798393
12Marlies32000010191182200000013671000001065161.00019345300918578711793091791231114306493500.00%220100.00%11426275451.78%1282247151.88%563112749.96%175112701732483798393
13Marmots413000001015-52020000058-32110000057-220.250102030109185787150930917912311294252891715.88%26676.92%11426275451.78%1282247151.88%563112749.96%175112701732483798393
14Outlaws2020000059-41010000023-11010000036-300.000510150091857878593091791231831624391317.69%13376.92%01426275451.78%1282247151.88%563112749.96%175112701732483798393
15Predateurs2100100010732100100010730000000000041.0001018280091857877793091791231762516528112.50%7185.71%01426275451.78%1282247151.88%563112749.96%175112701732483798393
16Rockets21100000440211000004400000000000020.500481200918578771930917912315518145313323.08%7185.71%01426275451.78%1282247151.88%563112749.96%175112701732483798393
17Sags11000000404000000000001100000040421.000481201918578743930917912312748238225.00%40100.00%01426275451.78%1282247151.88%563112749.96%175112701732483798393
18Scorpions220000001046110000006331100000041341.0001017270091857879193091791231521814396116.67%70100.00%01426275451.78%1282247151.88%563112749.96%175112701732483798393
19Smirnoff Ice3030000069-32020000057-21010000012-100.0006121800918578711893091791231402834771317.69%13376.92%01426275451.78%1282247151.88%563112749.96%175112701732483798393
20Snowbirds32100000853211000004401100000041340.66781523009185787137930917912319231397811218.18%16287.50%01426275451.78%1282247151.88%563112749.96%175112701732483798393
21Spartans320000011394110000007342100000166050.833132639009185787128930917912317924346919210.53%14285.71%01426275451.78%1282247151.88%563112749.96%175112701732483798393
22Supreme11000000422000000000001100000042221.00048120091857873793091791231341112257228.57%60100.00%01426275451.78%1282247151.88%563112749.96%175112701732483798393
23TigersCats4220000018180312000001417-31100000041340.5001836541091857871889309179123115650328625416.00%13284.62%11426275451.78%1282247151.88%563112749.96%175112701732483798393
24Twins3200100017981100000071621001000108261.000173249009185787131930917912317925247516318.75%12191.67%01426275451.78%1282247151.88%563112749.96%175112701732483798393
25Vandals22000000633110000003211100000031241.00061218009185787649309179123135718304125.00%90100.00%01426275451.78%1282247151.88%563112749.96%175112701732483798393
26Vipers2110000089-1110000005321010000036-320.5008152300918578796930917912317520224916318.75%11190.91%01426275451.78%1282247151.88%563112749.96%175112701732483798393
27Warriors320010001459110000005142100100094561.000142438009185787107930917912318327577711436.36%26196.15%21426275451.78%1282247151.88%563112749.96%175112701732483798393
28Wolves2110000035-2110000002021010000015-420.50036901918578776930917912317821264210110.00%13284.62%01426275451.78%1282247151.88%563112749.96%175112701732483798393
29Xpress30300000712-51010000023-12020000059-400.00071320009185787989309179123113240568115213.33%27388.89%01426275451.78%1282247151.88%563112749.96%175112701732483798393
Total713625044112592164337181402300144114303418110211111510213870.613259492751259185787278493091791231226868091417733424814.04%4055686.17%71426275451.78%1282247151.88%563112749.96%175112701732483798393
_Since Last GM Reset713625044112592164337181402300144114303418110211111510213870.613259492751259185787278493091791231226868091417733424814.04%4055686.17%71426275451.78%1282247151.88%563112749.96%175112701732483798393
_Vs Conference2917902001109793014940100058342415850100151456390.6721092073160491857871206930917912319052573186891552415.48%1481887.84%11426275451.78%1282247151.88%563112749.96%175112701732483798393
_Vs Division129200001472621532000002216676000001251015190.792478913602918578750993091791231334105142298571017.54%61690.16%01426275451.78%1282247151.88%563112749.96%175112701732483798393

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7187OTL125949275127842268680914177325
All Games
GPWLOTWOTL SOWSOLGFGA
7136254411259216
Home Games
GPWLOTWOTL SOWSOLGFGA
3718142300144114
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3418112111115102
Last 10 Games
WLOTWOTL SOWSOL
342100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3424814.04%4055686.17%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
930917912319185787
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1426275451.78%1282247151.88%563112749.96%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
175112701732483798393


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
16Thugs0Farmers5LBox score
217TigersCats6Thugs3LBox score
438Thugs3Marmots1WBox score
549Thugs2Xpress3LBox score
664CoolFm4Thugs7WBox score
788Husky3Thugs2LBox score
9105Thugs4Spartans3WBox score
10109Smirnoff Ice2Thugs1LBox score
11119Thugs2Grizzlies7LBox score
12145Marmots2Thugs1LBox score
13154Thugs3Chiwawa0WBox score
15171Bandits2Thugs3WBox score
17190Thugs5Goons3WBox score
18205TigersCats5Thugs7WBox score
19229Rockets2Thugs4WBox score
20235Thugs5Twins4WBox score
22259Thugs4Bandits3WBox score
23269Predateurs3Thugs5WBox score
24286Marlies5Thugs7WBox score
25301Thugs6CoolFm1WBox score
26310Thugs6Marlies5WXXBox score
27332Bayou0Thugs6WBox score
28343Thugs3Bayou5LBox score
29355TigersCats6Thugs4LBox score
31377Thugs3Vandals1WBox score
32394Warriors1Thugs5WBox score
34412Thugs3Outlaws6LBox score
35425Grizzlies5Thugs4LXBox score
37448Goons3Thugs4WXBox score
38462Thugs1Wolves5LBox score
39479Smirnoff Ice5Thugs4LBox score
41502Wolves0Thugs2WBox score
42509Thugs4Supreme2WBox score
43532Hunters1Thugs5WBox score
44546Thugs3Barracudas4LBox score
45563Snowbirds2Thugs1LBox score
46578Thugs3Xpress6LBox score
47592Outlaws3Thugs2LBox score
48600Thugs6Warriors2WBox score
49616Thugs2Hunters0WBox score
50630Marmots6Thugs4LBox score
51643Thugs2Farmers3LXBox score
53663Rockets2Thugs0LBox score
54682Thugs2Spartans3LXXBox score
55695Scorpions3Thugs6WBox score
57712Thugs2Marmots6LBox score
58727Bandits3Thugs5WBox score
59745Thugs4Scorpions1WBox score
60759Snowbirds2Thugs3WBox score
61775Thugs4Grizzlies3WBox score
62791Marlies1Thugs6WBox score
64810Vandals2Thugs3WBox score
66831Thugs3Husky2WBox score
67843Thugs4Snowbirds1WBox score
68852Farmers5Thugs4LXBox score
69874Twins1Thugs7WBox score
71889Thugs6Hunters2WBox score
72907Igloos3Thugs0LBox score
74924Thugs5Twins4WXBox score
75938Vipers3Thugs5WBox score
77961Thugs3Vipers6LBox score
78969Xpress3Thugs2LBox score
80996Spartans3Thugs7WBox score
811012Thugs3Warriors2WXBox score
821026Barracudas2Thugs1LBox score
841054Chiwawa6Thugs5LBox score
861065Thugs4TigersCats1WBox score
871083Thugs4Sags0WBox score
881089Predateurs4Thugs5WXBox score
901110Thugs1Smirnoff Ice2LBox score
911122CoolFm5Thugs4LXBox score
931147Thugs-Igloos-
Trade Deadline --- Trades can’t be done after this day is simulated!
941150Husky-Thugs-
951172Thugs-Igloos-
961179Thugs-Goons-
971182Thugs-Rockets-
981195Raptors-Thugs-
1011217Sags-Thugs-
1021231Thugs-Predateurs-
1051244Supreme-Thugs-
1061252Thugs-Raptors-
1071264Thugs-Predateurs-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3020
Attendance74,00036,545
Attendance PCT100.00%98.77%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 2988 - 99.59% 95,705$3,541,080$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,873,930$ 872,500$ 872,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,022,101$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
382,819$ 16 17,338$ 277,408$




Thugs 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

Thugs Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Thugs 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

Thugs 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

Thugs Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA





Website created by the SimonT Hockey Simulator (STHS) for Michael Langlois - Version Française du Site Web - The database was created : 16/07/2026 14:31:47