Association Québécoise de Hockey Simulé - Thugs 

Thugs

GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2
GF: 10 | GA: 8 | PP%: 66.67% | PK%: 75.00%
GM : Jean-Philippe Chartier | Morale : 90 | Team Overall : 58
Next Games #42 vs Farmers
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
1Joshua Roy (R)X100.0057459584616140613058646969806909061X0
2Anthony BeauvillierX99.0066459182536872573056576267867709061X0
3Nicolas DeslauriersX100.0099785473765072483044515950938009059X0
4Jesse PuljujarviX100.0088458878745040523044616066857209059X0
5Max ComtoisX100.0050459574746540473044505550857509055X0
6Kole LindX100.0050459577645040453040505950857209054X0
7Alexandre Fortin (R)X100.0050459579605040453040505550867309053X0
8Ben Jones (R)X100.0050459577605040453040505550847109053X0
9Samuel Poulin (R)X100.0051459274715040453040505550837009053X0
10Logan Brown (R)X100.0050459576605040453040505550857209053X0
11Samuel Bolduc (R)X97.0075459076785541523047576166837109062X0
12Philippe MyersX100.0054459274795040453040506250877509059X0
13Maxime LajoieX100.0059459577585340473044505950867409058X0
14Maxence Guenette (R)X100.0052459278535740453040506150827009057X0
15Nicolas MelocheX100.0050459574605040453040505550867309056X0
Scratches
TEAM AVERAGE99.7360479177655444483044535955857309057
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
1Cayden Primeau (R)99.007757848876797977767670847609067X0
2Cory Schneider100.007040409065656565656565958209059X0
Scratches
1Antoine Bibeau100.007040409165656565656565857209058X0
TEAM AVERAGE99.677246559069707069696967887709061
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Guy Boucher65656565867768CAN5222,000,000$


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 NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Joshua RoyThugs (BOS)RW222422060134415.38%22713.5310111000001066.67%323002.9600000100
2Anthony BeauvillierThugs (BOS)LW222400045143814.29%13517.881014200000010.00%231002.2400000000
3Logan BrownThugs (BOS)C22132002670128.57%02512.8700001000000025.93%5411002.3300000010
4Maxime LajoieThugs (BOS)D21120003330133.33%03517.510110200004000.00%003001.1400000000
5Philippe MyersThugs (BOS)D21010202221050.00%63417.020000200003000.00%001000.5911000000
6Kole LindThugs (BOS)RW2000-100000110.00%02110.810000000000000.00%000000.0000000000
7Nicolas MelocheThugs (BOS)D2000100021000.00%12914.820000000001000.00%000000.0000000000
8Ben JonesThugs (BOS)C2000-100003100.00%12412.4900000000000037.50%1610000.0000000000
9Maxence GuenetteThugs (BOS)D2000000112000.00%02713.880000000000000.00%000000.0000000000
10Samuel BolducThugs (BOS)D2000200114120.00%25527.830000100006000.00%012000.0000000000
11Nicolas DeslauriersThugs (BOS)LW2000120513120.00%02512.880000100000000.00%400000.0000000000
12Max ComtoisThugs (BOS)LW2000-100123230.00%12412.490000000000000.00%000000.0000000000
Team Total or Average248614560252355142214.55%1436815.332135130000171127.85%79811000.7611000110
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
1Cayden PrimeauThugs (BOS)21100.8674.031190086036200.000020000
Team Total or Average21100.8674.031190086036200.000020000


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 Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexandre FortinThugs (BOS)LW261997-10-12Yes172 Lbs6 ft0NoYesNo3RFAPro & Farm800,000$0$0$No
Anthony BeauvillierThugs (BOS)LW271997-06-08No180 Lbs5 ft11NoYesNo4RFAPro & Farm2,500,000$0$0$No
Antoine BibeauThugs (BOS)G301994-05-01No213 Lbs6 ft3NoYesNo2UFAPro & Farm1,000,000$0$0$No
Ben JonesThugs (BOS)C251999-02-26Yes187 Lbs6 ft0NoYesNo1RFAPro & Farm850,000$0$0$No
Cayden PrimeauThugs (BOS)G251999-08-11Yes199 Lbs6 ft2NoYesNo5RFAPro & Farm2,500,000$0$0$No
Cory SchneiderThugs (BOS)G381986-03-18No210 Lbs6 ft2NoYesNo2UFAPro & Farm5,000,000$0$0$No
Jesse PuljujarviThugs (BOS)RW261998-05-07No201 Lbs6 ft4NoYesNo4RFAPro & Farm800,000$0$0$No
Joshua RoyThugs (BOS)RW212003-08-06Yes192 Lbs6 ft0NoYesNo5RFAPro & Farm900,000$0$0$No
Kole LindThugs (BOS)RW251998-10-16No193 Lbs6 ft1NoYesNo2RFAPro & Farm1,000,000$0$0$No
Logan BrownThugs (BOS)C261998-03-05Yes218 Lbs6 ft6NoYesNo4RFAPro & Farm800,000$0$0$No
Max ComtoisThugs (BOS)LW251999-01-08No210 Lbs6 ft2NoYesNo3RFAPro & Farm1,500,000$0$0$No
Maxence GuenetteThugs (BOS)D232001-04-28Yes181 Lbs6 ft1NoYesNo3RFAPro & Farm800,000$0$0$No
Maxime LajoieThugs (BOS)D261997-11-05No191 Lbs6 ft1NoYesNo3RFAPro & Farm800,000$0$0$No
Nicolas DeslauriersThugs (BOS)LW331991-02-22No218 Lbs6 ft1NoYesNo1UFAPro & Farm1,000,000$0$0$No
Nicolas MelocheThugs (BOS)D271997-07-18No211 Lbs6 ft3NoYesNo2RFAPro & Farm1,000,000$0$0$No
Philippe MyersThugs (BOS)D271997-01-25No213 Lbs6 ft6NoYesNo2RFAPro & Farm800,000$0$0$No
Samuel BolducThugs (BOS)D232000-12-09Yes220 Lbs6 ft4NoYesNo3RFAPro & Farm850,000$0$0$No
Samuel PoulinThugs (BOS)LW232001-02-25Yes208 Lbs6 ft1NoYesNo3RFAPro & Farm800,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1826.44201 Lbs6 ft22.891,316,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony Beauvillier35122
2Nicolas DeslauriersLogan BrownJoshua Roy30122
3Max ComtoisBen Jones25122
4Kole Lind10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Samuel Bolduc35122
2Philippe MyersMaxime Lajoie30122
3Maxence GuenetteNicolas Meloche25122
4Samuel Bolduc10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony Beauvillier55122
2Nicolas DeslauriersLogan BrownJoshua Roy45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Samuel Bolduc55122
2Philippe MyersMaxime Lajoie45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
2Anthony BeauvillierJoshua Roy45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Samuel Bolduc55122
2Philippe MyersMaxime Lajoie45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Samuel Bolduc55122
245122Philippe MyersMaxime Lajoie45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
2Anthony BeauvillierJoshua Roy45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Samuel Bolduc55122
2Philippe MyersMaxime Lajoie45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony BeauvillierSamuel Bolduc
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony BeauvillierSamuel Bolduc
Extra Forwards
Normal PowerPlayPenalty Kill
, Max Comtois, Kole Lind, Max ComtoisKole Lind
Extra Defensemen
Normal PowerPlayPenalty Kill
Maxence Guenette, Nicolas Meloche, Philippe MyersMaxence GuenetteNicolas Meloche, Philippe Myers
Penalty Shots
, , Anthony Beauvillier, Joshua Roy, Nicolas Deslauriers
Goalie
#1 : Cayden Primeau, #2 : Cory Schneider


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
1Husky1010000056-11010000056-10000000000000.000561100055038142430029128182150.00%4250.00%0144630.43%153839.47%53414.71%543833163214
2Saguenéens11000000523110000005230000000000021.000571200055030142430031782111100.00%40100.00%1144630.43%153839.47%53414.71%543833163214
Total2110000010822110000010820000000000020.500101323000550681424300601916393266.67%8275.00%1144630.43%153839.47%53414.71%543833163214
_Since Last GM Reset2110000010822110000010820000000000020.500101323000550681424300601916393266.67%8275.00%1144630.43%153839.47%53414.71%543833163214
_Vs Conference11000000523110000005230000000000021.000571200055030142430031782111100.00%40100.00%1144630.43%153839.47%53414.71%543833163214
_Vs Division11000000523110000005230000000000021.000571200055030142430031782111100.00%40100.00%1144630.43%153839.47%53414.71%543833163214

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
22L1101323686019163900
All Games
GPWLOTWOTL SOWSOLGFGA
2110000108
Home Games
GPWLOTWOTL SOWSOLGFGA
2110000108
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
110000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3266.67%8275.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
14243000550
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
144630.43%153839.47%53414.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
543833163214


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
1 - 2024-10-096Saguenéens2Thugs5WBoxScore
3 - 2024-10-1133Husky6Thugs5LBoxScore
4 - 2024-10-1242Thugs-Farmers-
5 - 2024-10-1359Thugs-Barracudas-
7 - 2024-10-1574TigersCats-Thugs-
9 - 2024-10-1795Wolves-Thugs-
10 - 2024-10-18102Thugs-Chiwawa-
12 - 2024-10-20119Thugs-Warriors-
14 - 2024-10-22132Thugs-Barracudas-
15 - 2024-10-23146Hunters-Thugs-
16 - 2024-10-24157Thugs-Smirnoff Ice-
18 - 2024-10-26169Thugs-Hunters-
19 - 2024-10-27185Marmots-Thugs-
20 - 2024-10-28205TigersCats-Thugs-
22 - 2024-10-30224Saguenéens-Thugs-
23 - 2024-10-31240Thugs-Supreme-
25 - 2024-11-02251Thugs-Vipers-
26 - 2024-11-03265Bayou-Thugs-
28 - 2024-11-05284Thugs-Predateurs-
29 - 2024-11-06299Xpress-Thugs-
31 - 2024-11-08317Thugs-Vandals-
32 - 2024-11-09327Vandals-Thugs-
33 - 2024-11-10342Thugs-Vipers-
35 - 2024-11-12354CoolFm-Thugs-
37 - 2024-11-14370Thugs-Snowbirds-
38 - 2024-11-15391Hunters-Thugs-
39 - 2024-11-16401Thugs-Spartans-
41 - 2024-11-18421Warriors-Thugs-
43 - 2024-11-20438Thugs-CoolFm-
44 - 2024-11-21450Grizzlies-Thugs-
46 - 2024-11-23469Thugs-Smirnoff Ice-
47 - 2024-11-24480Thugs-Supreme-
48 - 2024-11-25491Outlaws-Thugs-
50 - 2024-11-27512Thugs-Warriors-
51 - 2024-11-28525Igloos-Thugs-
53 - 2024-11-30544Twins-Thugs-
55 - 2024-12-02557Thugs-Saguenéens-
56 - 2024-12-03569Thugs-Wolves-
58 - 2024-12-05588Bandits-Thugs-
60 - 2024-12-07605Marlies-Thugs-
61 - 2024-12-08621Thugs-Husky-
62 - 2024-12-09631Thugs-Barracudas-
63 - 2024-12-10646Smirnoff Ice-Thugs-
65 - 2024-12-12667Thugs-Marlies-
66 - 2024-12-13680Husky-Thugs-
68 - 2024-12-15698Vipers-Thugs-
70 - 2024-12-17712Thugs-Goons-
71 - 2024-12-18730Scorpions-Thugs-
73 - 2024-12-20748Thugs-Rockets-
74 - 2024-12-21760Predateurs-Thugs-
75 - 2024-12-22777Thugs-Raptors-
76 - 2024-12-23787Thugs-Scorpions-
78 - 2024-12-25802Wolves-Thugs-
79 - 2024-12-26814Thugs-Farmers-
81 - 2024-12-28833Chiwawa-Thugs-
82 - 2024-12-29846Thugs-Marmots-
84 - 2024-12-31865Marlies-Thugs-
85 - 2025-01-01882Thugs-Grizzlies-
87 - 2025-01-03893TigersCats-Thugs-
89 - 2025-01-05915Saguenéens-Thugs-
90 - 2025-01-06927Thugs-Bayou-
91 - 2025-01-07946Bandits-Thugs-
93 - 2025-01-09962Thugs-Hunters-
95 - 2025-01-11978Thugs-Xpress-
96 - 2025-01-12989Supreme-Thugs-
97 - 2025-01-131004Thugs-Chiwawa-
98 - 2025-01-141018Snowbirds-Thugs-
Trade Deadline --- Trades can’t be done after this day is simulated!
101 - 2025-01-171041Raptors-Thugs-
102 - 2025-01-181059Thugs-Outlaws-
103 - 2025-01-191068Thugs-Bandits-
104 - 2025-01-201080Marmots-Thugs-
107 - 2025-01-231102Barracudas-Thugs-
109 - 2025-01-251124Goons-Thugs-
110 - 2025-01-261135Thugs-TigersCats-
112 - 2025-01-281154Thugs-Igloos-
113 - 2025-01-291166Thugs-Twins-
114 - 2025-01-301175Spartans-Thugs-
117 - 2025-02-021201Farmers-Thugs-
120 - 2025-02-051222Snowbirds-Thugs-
121 - 2025-02-061234Thugs-Twins-
123 - 2025-02-081248Rockets-Thugs-
124 - 2025-02-091255Thugs-Igloos-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance4,0002,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
39 3000 - 100.00% 78,000$156,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
103,227$ 2,370,000$ 2,370,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 55,983$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,042,000$ 124 34,409$ 4,266,716$




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
48211000001082211000001082000000000002101323000550681424300601916393266.67%8275.00%1144630.43%153839.47%53414.71%543833163214
Total Regular Season211000001082211000001082000000000002101323000550681424300601916393266.67%8275.00%1144630.43%153839.47%53414.71%543833163214