Comets

GP: 6 | W: 5 | L: 1 | OTL: 0 | P: 10
GF: 21 | GA: 11 | PP%: 15.38% | PK%: 96.88%
GM : Stéphane Lacasse | Morale : 50 | Team Overall : 64
Next Games #108 vs Rocket

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
1Maxim Tsyplakov0X100.007240847085837467586962616366683750660
2Alex Turcotte0XX100.006436907170798367726862636964668650650
3Christian Fischer0X100.007746886583788363586460666172686450650
4Klim Kostin0XXX100.008267726593777664626361666468657450650
5Travis Boyd0XX100.006436926772827565737163626573753050650
6Lukas Reichel0XX100.006136947069818767746860636665678250650
7Filip Bystedt0X100.006940816578847064706362616561638050630
8Jacob Gaucher0X100.007039845780788559675658555764664350600
9William Dufour0X100.007442745983848157605658555764654950600
10Jean-Luc Foudy0X100.005737846468727459666058626163656750600
11Jacob Bernard-Docker0X100.006741886577838164307059755265677750680
12Jacob Moverare0X100.007339926385768262306559645267695150660
13Owen Pickering0X100.007539936489817363306059665061638250660
14Frederic Brunet0X100.007239876083808258305756634962645850640
15Mikulas Hovorka0X100.008952835698657055305453594564664350620
16Brogan Rafferty0X100.006438935973718158306055564770723550610
Scratches
1Philip Tomasino0XXX99.966637897174848372656869627165677950670
2Tyler Boucher0X100.006942715978777258535655575462648650590
3Jackson Cates0X100.006338915672808455625457535668703650590
4Brad Hunt0X100.005637866665818264306356585077792050630
5Carson Lambos0X100.006840755777678656305554584662648050600
6Ryan O'Rourke0X100.006139745670658454305552574563657550590
TEAM AVERAGE99.95694185637878796150625961576667615063
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
1Brandon Halverson100.00768277967574767574767569835550760
2Nikita Tolopilo100.00778581987675777675777665735650760
Scratches
1Gabriel Carriere100.00707571786968706968706965734250690
2Carter Gylander100.00687167806766686766686764714850670
TEAM AVERAGE100.0073787488727173727173726675505072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Derek Lalonde77798583797470USA5321,000,000$


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
1Jacob Bernard-DockerComets (New)D64483955392544.44%514824.68314623000024110.00%100001.0800100110
2Alex TurcotteComets (New)C/LW6145200113124138.33%011118.50044626000060062.10%12400000.9002000000
3Philip TomasinoComets (New)C/LW/RW6145240511152156.67%19315.66022225000010066.67%300001.0611000001
4Filip BystedtComets (New)C6314-14042145621.43%06911.6100001000000063.08%6500001.1511000100
5Frederic BrunetComets (New)D6044395724150.00%413422.42000217000027000.00%000000.5900010000
6Jean-Luc FoudyComets (New)C613420017841212.50%16611.0500000000000149.12%5700001.2100000001
7Maxim TsyplakovComets (New)RW604456061077120.00%011018.43000316000000066.67%300000.7212000010
8Christian FischerComets (New)RW6123-12071013597.69%211919.89000515000032000.00%200000.5000000000
9Klim KostinComets (New)C/LW/RW6123-1100961061010.00%07212.0100000000000050.00%200000.8300000000
10Lukas ReichelComets (New)C/LW630310026173617.65%010417.400007160000180064.29%2800000.5701000001
11Jacob GaucherComets (New)C61122607350520.00%28313.86000000000161061.11%1800000.4800000000
12Travis BoydComets (New)C/RW60222001147390.00%19515.99000000000350061.65%13300000.4201000000
13William DufourComets (New)RW62022758282325.00%06410.7900000000000033.33%300000.6200100100
14Jacob MoverareComets (New)D60220801354150.00%612621.13000318000024000.00%000000.3200000000
15Mikulas HovorkaComets (New)D602232751022120.00%310016.8200002000014000.00%300000.4000010000
16Owen PickeringComets (New)D611216094621016.67%515125.28112422000125100.00%000000.2600000001
17Brogan RaffertyComets (New)D6000040831000.00%18213.740000100001000.00%000000.0000000000
Team Total or Average10219365525102201031031424812713.38%31173517.0148123818900012283259.50%44200000.6338220324
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
1Brandon HalversonComets (New)65100.9071.7234801101070000.875860110
2Nikita TolopiloComets (New)10001.0000.002000070010.000006000
Team Total or Average75100.9121.6336901101140010.875866110


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
Alex TurcotteC/LW242001-02-26No185 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Brad HuntD371988-08-24No177 Lbs5 ft9NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon HalversonG291996-03-29No235 Lbs6 ft5NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brogan RaffertyD301995-05-28No195 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Carson LambosD222003-01-14No197 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Carter GylanderG242001-06-05No170 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Christian FischerRW281997-04-15No212 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Filip BystedtC212004-02-04No187 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Frederic BrunetD222003-08-21No196 Lbs6 ft3NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Gabriel CarriereG242000-11-05No188 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Jackson CatesC281997-09-26No190 Lbs6 ft0NoNoNo2UFAPro & Farm400,000$0$0$NoLink / NHL Link
Jacob Bernard-DockerD252000-06-30No198 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jacob GaucherC242001-03-09No185 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jacob MoverareD271998-08-31No210 Lbs6 ft3NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jean-Luc FoudyC232002-05-13No177 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Klim KostinC/LW/RW261999-05-05No232 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lukas ReichelC/LW232002-05-17No170 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Maxim TsyplakovRW271998-09-19No210 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Mikulas HovorkaD242001-07-01No229 Lbs6 ft6NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Nikita TolopiloG252000-04-06No229 Lbs6 ft6NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Owen PickeringD212004-01-27No200 Lbs6 ft5NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Philip TomasinoC/LW/RW242001-07-28No190 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Ryan O'RourkeD232002-05-16No178 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Travis BoydC/RW321993-09-14No190 Lbs6 ft0NoNoNo3UFAPro & Farm699,500$0$0$NoLink / NHL Link
Tyler BoucherRW222003-01-16No205 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
William DufourRW232002-01-28No215 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2625.31198 Lbs6 ft22.12513,442$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex Turcotte40122
2Lukas ReichelTravis BoydMaxim Tsyplakov30122
3Klim KostinFilip BystedtChristian Fischer20122
4Jacob GaucherJean-Luc FoudyWilliam Dufour10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob Bernard-DockerOwen Pickering41122
2Frederic BrunetMikulas Hovorka34122
3Brogan RaffertyJacob Moverare24122
4Jacob MoverareOwen Pickering1122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex Turcotte60122
2Maxim TsyplakovLukas ReichelChristian Fischer40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PickeringJacob Bernard-Docker60122
2Frederic BrunetJacob Moverare40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Travis BoydChristian Fischer60122
2Jacob GaucherLukas Reichel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MoverareFrederic Brunet60122
2Jacob Bernard-DockerOwen Pickering40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Travis Boyd60122Jacob Bernard-DockerOwen Pickering60122
2Jean-Luc Foudy40122Frederic BrunetJacob Moverare40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Travis BoydChristian Fischer60122
2Filip BystedtLukas Reichel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PickeringJacob Moverare60122
2Jacob Bernard-DockerFrederic Brunet40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alex TurcotteOwen PickeringJacob Moverare
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelFilip BystedtChristian FischerOwen PickeringJacob Moverare
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Turcotte, , Maxim TsyplakovMaxim Tsyplakov,
Extra Defensemen
Normal PowerPlayPenalty Kill
Mikulas Hovorka, Owen Pickering, Frederic BrunetFrederic BrunetOwen Pickering, Mikulas Hovorka
Penalty Shots
Alex Turcotte, , , Lukas Reichel, Maxim Tsyplakov
Goalie
#1 : Brandon Halverson, #2 : Nikita Tolopilo


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
610SOW12136571421153110210311
All Games
GPWLOTWOTL SOWSOLGFGA
63100202111
Home Games
GPWLOTWOTL SOWSOLGFGA
3100020115
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3210000106
Last 10 Games
WLOTWOTL SOWSOL
310020
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
26415.38%32196.88%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3052561236103
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11017263.95%10116361.96%539854.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167119126427640


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
8 - 2025-08-221Crunch1Comets5WBoxScore
9 - 2025-08-2314Americans1Comets2WXXBoxScore
16 - 2025-08-3048Comets1Senators0WBoxScore
17 - 2025-08-3162Comets6Marlies1WBoxScore
22 - 2025-09-0574Comets3Rocket5LBoxScore
23 - 2025-09-0687Rocket3Comets4WXXBoxScore
27 - 2025-09-10108Comets-Rocket-
29 - 2025-09-12113Americans-Comets-
30 - 2025-09-13126Americans-Comets-
36 - 2025-09-19149Monsters-Comets-
37 - 2025-09-20163Comets-Phantoms-
39 - 2025-09-22180Monsters-Comets-
44 - 2025-09-27205Crunch-Comets-
50 - 2025-10-03229Comets-Crunch-
51 - 2025-10-04244Comets-Americans-
55 - 2025-10-08264Bruins-Comets-
57 - 2025-10-10268Comets-Thunderbirds-
58 - 2025-10-11286Comets-Bruins-
62 - 2025-10-15305Comets-Americans-
64 - 2025-10-17311Bruins-Comets-
72 - 2025-10-25365Comets-Crunch-
76 - 2025-10-29388Comets-Monsters-
77 - 2025-10-30397Comets-Monsters-
85 - 2025-11-07433Comets-Americans-
86 - 2025-11-08443Americans-Comets-
89 - 2025-11-11458Comets-Senators-
92 - 2025-11-14472Phantoms-Comets-
93 - 2025-11-15486Senators-Comets-
97 - 2025-11-19503Crunch-Comets-
99 - 2025-11-21516Comets-Americans-
100 - 2025-11-22527Marlies-Comets-
104 - 2025-11-26549Wolfpack-Comets-
106 - 2025-11-28560Rocket-Comets-
107 - 2025-11-29568Comets-Rocket-
109 - 2025-12-01588Comets-Crunch-
111 - 2025-12-03594Islanders-Comets-
113 - 2025-12-05604Penguins-Comets-
114 - 2025-12-06615Comets-Penguins-
118 - 2025-12-10639Comets-Americans-
120 - 2025-12-12649Senators-Comets-
121 - 2025-12-13666Comets-Senators-
127 - 2025-12-19677Comets-Crunch-
128 - 2025-12-20696Senators-Comets-
134 - 2025-12-26723Comets-Bruins-
135 - 2025-12-27733Americans-Comets-
137 - 2025-12-29753Comets-Senators-
139 - 2025-12-31758Senators-Comets-
141 - 2026-01-02772Comets-Bruins-
142 - 2026-01-03779Comets-Islanders-
148 - 2026-01-09817Americans-Comets-
149 - 2026-01-10826Comets-Wolfpack-
150 - 2026-01-11840Crunch-Comets-
153 - 2026-01-14853Comets-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16861Crunch-Comets-
160 - 2026-01-21892Comets-Crunch-
162 - 2026-01-23903Rocket-Comets-
163 - 2026-01-24913Rocket-Comets-
167 - 2026-01-28937Checkers-Comets-
170 - 2026-01-31964Checkers-Comets-
171 - 2026-02-01974Comets-Americans-
176 - 2026-02-06991Comets-Crunch-
177 - 2026-02-071006Bears-Comets-
178 - 2026-02-081022Comets-Bears-
181 - 2026-02-111029Comets-Marlies-
183 - 2026-02-131041Thunderbirds-Comets-
184 - 2026-02-141055Bruins-Comets-
188 - 2026-02-181074Crunch-Comets-
191 - 2026-02-211092Comets-Checkers-
192 - 2026-02-221106Comets-Checkers-
195 - 2026-02-251114Marlies-Comets-
197 - 2026-02-271126Crunch-Comets-
198 - 2026-02-281141Comets-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance5,5602,821
Attendance PCT92.67%94.03%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 2794 - 93.12% 69,495$208,485$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
147,297$ 133,495$ 133,495$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 17,297$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,293,335$ 174 5,667$ 986,058$




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
1282491605354298137161412580033214955944124805022149826712529853283001801158786233108197327641645469131818165006713.40%5806888.28%61588257461.69%1352231358.45%688115959.36%232116861684561974518
1376471604162249114135382110031211196158382660104113053771172494316800130996872202807016416661543431115314344457617.08%4735388.79%11478236262.57%1297211761.27%644101863.26%212915311573526907489
1376243904333204244-4038141602213102113-1138102302120102131-2968204348552040836450204906586766911913563105516444646313.58%4337881.99%51168238349.01%1069210150.88%563111350.58%187513211829548897444
1476342301312319013258381811010621016437381612003618968211001903265160130695157188106096116231696507108713483565314.89%4124589.08%21380235758.55%1251219856.92%59199959.16%203514511686531923481
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
1476342301312319013258381811010621016437381612003618968211001903265160130695157188106096116231696507108713483565314.89%4124589.08%21380235758.55%1251219856.92%59199959.16%203514511686531923481
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
1476342301312319013258381811010621016437381612003618968211001903265160130695157188106096116231696507108713483565314.89%4124589.08%21380235758.55%1251219856.92%59199959.16%203514511686531923481
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
158248220135328015013041251101040135706541231100313145806511428049777711601078186253908448508251743501110614744446815.32%4555089.01%41692273961.77%1377237258.05%708113562.38%233517101678562957511
158245200245623118051412390132311590254122110113311690261142314226531150728270224407477187611930569100115294207317.38%4275786.65%21547256660.29%1334240155.56%673113459.35%219515671804571985519
158248220135328015013041251101040135706541231100313145806511428049777711601078186253908448508251743501110614744446815.32%4555089.01%41692273961.77%1377237258.05%708113562.38%233517101678562957511
158245200245623118051412390132311590254122110113311690261142314226531150728270224407477187611930569100115294207317.38%4275786.65%21547256660.29%1334240155.56%673113459.35%219515671804571985519
1682551802304302166136412780120315081694128100110115285671213025538550801041148224450736807884180551097215024619420.39%4125387.14%11477260456.72%1149234549.00%650118654.81%229617191733532918484
1682422802532275195804122160021013293394120120232214310241101275493768114097957824550818807811186350587714024807916.46%3765385.90%31616271959.43%1298216260.04%712121058.84%225916641749545946498
177239240115225114910236201201111125745136191200041126755193251451702010086847522670698750800163042479413083696216.80%3365483.93%31321222559.37%1063200053.15%566102055.49%205815371484454813438
17723424024622291626736151102341112803236191300121117823590229418647010086736219850654642667157447378012583607019.44%3384686.39%81383221462.47%1074182458.88%635103361.47%206115191451466853465
1872411805512260170903620904210133844936219013021278641101260471731270117845322540789748703159442781413043867519.43%3204885.00%11337229058.38%1089195755.65%619107257.74%208015601451454821442
1970352001464258172863514130023312995343521701231129775292258447705180100876422820715798732175755071212873635815.98%3024585.10%11137221151.42%976200948.58%514104549.19%190214241568462791409
2063100020211110310000201156321000001064102136571136103142305256121153110210326415.38%32196.88%011017263.95%10116361.96%539854.08%167119126427640
Total Regular Season147472649204158966144973278121973737424202024482922441586658737352250021344832225316925611845449780131251092183166214191279413603013407136091388033627965818890272937673124216.19%7805107386.25%53269984640158.18%228894155755.08%119822081957.55%40058290753196110060174049119
Playoff
1112750000033267743000001813553200000151321433619401013127283076909630868262278991515.15%971089.69%118539147.31%21341051.95%10018354.64%3022052999615175
12151050000034241086200000191277430000015123203463970301261236809411613327984281351121108.26%1221190.98%326854049.63%23148247.93%8320839.90%406276375128203101
131165000002526-1642000001613352300000913-41225426700010212254082788922358176230841011.90%771087.01%020936856.79%19133557.01%8416650.60%2821922558614069
142316700000513219117400000221931293000002913163251891400601515146980150176189622166380503147149.52%1691392.31%053097754.25%45489150.95%18636251.38%749524661210356183
151147000002231-9624000001118-7523000001113-282242640107103284080901032565915121751611.76%661084.85%021935362.04%21533065.15%9115558.71%2942082507913368
1523131000000504641055000002224-2138500000282262650941440202316851501781581565211433524511312216.79%1452384.14%236472550.21%35471749.37%18233454.49%572383559177297150
162014600000473512107300000201551073000002720728478913615017181048901671681324591332673201031211.65%1131289.38%133162652.88%34064452.80%13727350.18%508353487156256128
1862400000916-73210000055030300000411-74914230006111290444336142407210628310.71%27485.19%08818747.06%8018643.01%398048.75%14297153477435
1984400000393904220000019172422000002022-28396310200019128297010896932555176152451022.22%28678.57%012724951.00%9820647.57%8715954.72%206155187508844
Total Playoff129765300000310275356539260000015213616643727000001581391915231055786711801229275331709791015102730658022017260880910212.61%8449988.27%72321441652.56%2176420151.80%989192051.51%34642397323110331700857