Punishers
GP: 6 | W: 2 | L: 4
GF: 20 | GA: 27 | PP%: 16.67% | PK%: 85.71%
GM : Jean-Sébastien Larin | Morale : 13 | Team Overall : 62
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 SPAgeContractSalary
1Zack HamillX100.006928797673807274758271587166622826710271990,000$
2Corey TroppX100.006729727378726971706877676451483160690261700,000$
3Andreas Athanasiou (R) (A)X100.007035796579686969686977606647435553670211675,000$
4Radek Faksa (R)X100.006645777269677069736674566544435165660212650,000$
5Tyler Bertuzzi (R) (A)X100.007435726476578569626969666044426269660203750,000$
6Elias Lindholm (R)X100.006526846381746767686474566944446040660213650,000$
7Carter Ashton (R)X100.006743686767616868627269646548463547650241450,000$
8Nikita Gusev (R)X100.005224636860717371736967466547474669630231600,000$
9John Quenneville (R)X100.006128716662636261767871466041416859630191500,000$
10Joseph Cramarossa (R)X100.007043646365606064476456566352523334600231400,000$
11Austen Brassard (R)X100.006539646165596963656067535844444466600221300,000$
12Michael Joly (R)X100.005820746156686155646861486042425357580201350,000$
13Anton Blidh (R)X100.007233646764547061546059454342425462570201275,000$
14Daniel Audette (R)X100.006542765264545563556751566241416050570191500,000$
15Alex Schoenborn (R)X100.006243575567566755526063424441415762550191275,000$
16Nicolas Roy (R)X100.004438645658524958575652425240406743520182500,000$
17Gabriel Gagne (R)X100.004926655058464860535061395743426436520192500,000$
18Adam Pelech (R) (C)X100.007239797773707374517065736550435648700212750,000$
19Madison Bowey (R)X100.007436847268677268396751834947426263700202900,000$
20Brett Kulak (R)X100.007233717266716162566260765945434943660212650,000$
21Ben Betker (R)X100.005729746870716352385952764844445031630211300,000$
22Fredrik Claesson (R)X100.006033706157705962406250745152544266620232400,000$
23Noah Juulsen (R)X100.006339766162666760455455654340407669610182500,000$
24Connor Clifton (R)X100.005835745555686346655651654542425547570202300,000$
25Niko Mikkola (R)X100.006341745754615750376239555142436264560192500,000$
Scratches
1Austin Wagner (R)X100.006536534357475545485048314440407629460182500,000$
TEAM AVERAGE100.00643571636664656257646158574544545261
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
1Louis Domingue100.00747273746970688071717249454368700
2Daniel Altshuller100.00666472605875656362756443435069640
Scratches
TEAM AVERAGE100.0070687367647367726773684644476967
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Kovalev66646970404258CAN461500,000$


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
1Corey TroppPunishers (Bos)RW616701801410234114.35%313522.651235240000250037.50%852001.0300000001
2Zack HamillPunishers (Bos)C652714010232671619.23%414524.220113240003340052.23%24764000.9600000101
3Adam PelechPunishers (Bos)D624629568124116.67%615325.65112323000030000.00%079000.7811010101
4Radek FaksaPunishers (Bos)C613402075176145.88%010517.500110180003190049.06%5361000.7600000000
5Carter AshtonPunishers (Bos)RW6314120461321123.08%57111.84011115000000025.00%415001.1300000000
6Tyler BertuzziPunishers (Bos)LW6134010094104810.00%28414.01101118000000050.00%410000.9500000000
7Madison BoweyPunishers (Bos)D6123120518106210.00%916327.18112325000239100.00%019000.3700000010
8Nikita GusevPunishers (Bos)LW6033-4803412190.00%26510.8500000000000060.00%540000.9200000000
9John QuennevillePunishers (Bos)C6303-30043162618.75%1579.6600000000000046.67%3021001.0400000000
10Joseph CramarossaPunishers (Bos)LW6112-1405171814.29%1488.070000000006100.00%111000.8300000001
11Fredrik ClaessonPunishers (Bos)D6022-540566330.00%1011218.71000011000220000.00%005000.3600000000
12Andreas AthanasiouPunishers (Bos)LW610106086222104.55%512721.250000230002210060.00%1522000.1600000000
13Austen BrassardPunishers (Bos)RW6011-440956340.00%06310.5900000000000075.00%401000.3100000000
14Elias LindholmPunishers (Bos)C41010000131233.33%0112.79000000000000100.00%601001.7900000000
15Daniel AudettePunishers (Bos)C6011-220233020.00%0345.8200000000000016.67%1200000.5700000000
16Michael JolyPunishers (Bos)RW6000-120055150.00%0416.930000000000000.00%011000.0000000000
17Noah JuulsenPunishers (Bos)D6000020343110.00%47212.060000100002000.00%002000.0000000000
18Ben BetkerPunishers (Bos)D6000-740795320.00%512220.44000117000022000.00%000000.0000000000
19Niko MikkolaPunishers (Bos)D6000000110000.00%0203.410000000002000.00%001000.0000000000
20Connor CliftonPunishers (Bos)D6000-100271000.00%66911.5600000000011000.00%000000.0000000000
21Brett KulakPunishers (Bos)D4000-100031000.00%0184.730000500001000.00%000000.0000000000
22Nicolas RoyPunishers (Bos)C6000000010000.00%0152.62000000000130050.00%400000.0000000000
23Anton BlidhPunishers (Bos)LW6000-240110000.00%0132.3000002000000050.00%200000.0000000000
24Alex SchoenbornPunishers (Bos)RW6000000000000.00%040.76000010000200100.00%100000.0000000000
Team Total or Average140202949-26875105134201511159.95%63175812.56471117211000122552051.01%3963745000.5611010214
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
1Daniel AltshullerPunishers (Bos)62400.8774.513330025204117000.000060000
2Louis DominguePunishers (Bos)10000.8674.0030002158000.000006000
Team Total or Average72400.8774.463630027219125000.000066000


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 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 10Link
Adam PelechPunishers (Bos)D211994-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No850,000$
Alex SchoenbornPunishers (Bos)RW191996-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm275,000$0$0$No
Andreas AthanasiouPunishers (Bos)LW211994-01-01Yes177 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$No
Anton BlidhPunishers (Bos)LW201995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm275,000$0$0$No
Austen BrassardPunishers (Bos)RW221993-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Austin WagnerPunishers (Bos)LW181997-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ben BetkerPunishers (Bos)D211994-01-01Yes185 Lbs6 ft6NoNoNo1Pro & Farm300,000$0$0$No
Brett KulakPunishers (Bos)D211994-01-01Yes181 Lbs6 ft1NoNoNo2Pro & Farm650,000$0$0$No700,000$
Carter AshtonPunishers (Bos)RW241991-01-01Yes215 Lbs6 ft3NoNoNo1Pro & Farm450,000$0$0$No
Connor CliftonPunishers (Bos)D201995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$
Corey TroppPunishers (Bos)RW261989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Daniel AltshullerPunishers (Bos)G211994-01-01No191 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Daniel AudettePunishers (Bos)C191996-01-01Yes176 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Elias LindholmPunishers (Bos)C211994-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm650,000$0$0$No750,000$800,000$
Fredrik ClaessonPunishers (Bos)D231992-01-01Yes205 Lbs6 ft1NoNoNo2Pro & Farm400,000$0$0$No400,000$
Gabriel GagnePunishers (Bos)RW191996-01-01Yes187 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
John QuennevillePunishers (Bos)C191996-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Joseph CramarossaPunishers (Bos)LW231992-01-01Yes192 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Louis DominguePunishers (Bos)G231992-01-01No210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Madison BoweyPunishers (Bos)D201995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No995,000$
Michael JolyPunishers (Bos)RW201995-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm350,000$0$0$No
Nicolas RoyPunishers (Bos)C181997-01-01Yes200 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nikita GusevPunishers (Bos)LW231992-01-01Yes163 Lbs5 ft9NoNoNo1Pro & Farm600,000$0$0$No
Niko MikkolaPunishers (Bos)D191996-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Noah JuulsenPunishers (Bos)D181997-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Radek FaksaPunishers (Bos)C211994-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No750,000$
Tyler BertuzziPunishers (Bos)LW201995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No850,000$950,000$
Zack HamillPunishers (Bos)C271988-01-01No190 Lbs5 ft11NoNoNo1Pro & Farm990,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2820.96190 Lbs6 ft11.54532,679$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas AthanasiouZack HamillCorey Tropp40122
2Tyler BertuzziRadek FaksaCarter Ashton30122
3Nikita GusevElias LindholmAusten Brassard20122
4Joseph CramarossaJohn QuennevilleMichael Joly10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Madison BoweyAdam Pelech40122
2Brett KulakBen Betker30122
3Fredrik ClaessonNoah Juulsen20122
4Connor CliftonNiko Mikkola10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas AthanasiouZack HamillCorey Tropp60122
2Tyler BertuzziRadek FaksaCarter Ashton40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Madison BoweyAdam Pelech60122
2Brett KulakBen Betker40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Zack HamillCorey Tropp60122
2Andreas AthanasiouRadek Faksa40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Madison BoweyAdam Pelech60122
2Brett KulakBen Betker40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Zack Hamill60122Madison BoweyAdam Pelech60122
2Corey Tropp40122Brett KulakBen Betker40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Zack HamillCorey Tropp60122
2Andreas AthanasiouRadek Faksa40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Madison BoweyAdam Pelech60122
2Brett KulakBen Betker40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andreas AthanasiouZack HamillCorey TroppMadison BoweyAdam Pelech
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Andreas AthanasiouZack HamillCorey TroppMadison BoweyAdam Pelech
Extra Forwards
Normal PowerPlayPenalty Kill
Daniel Audette, Anton Blidh, Alex SchoenbornDaniel Audette, Anton BlidhAlex Schoenborn
Extra Defensemen
Normal PowerPlayPenalty Kill
Fredrik Claesson, Noah Juulsen, Connor CliftonFredrik ClaessonNoah Juulsen, Connor Clifton
Penalty Shots
Zack Hamill, Corey Tropp, Andreas Athanasiou, Radek Faksa, Elias Lindholm
Goalie
#1 : Daniel Altshuller, #2 : Louis Domingue


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
1Thunderbirds624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
Total624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
_Since Last GM Reset624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
_Vs Conference624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
_Vs Division624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L1202949201219638710500
All Games
GPWLOTWOTL SOWSOLGFGA
62400002027
Home Games
GPWLOTWOTL SOWSOLGFGA
3030000715
Visitor Games
GPWLOTWOTL SOWSOLGFGA
32100001312
Last 10 Games
WLOTWOTL SOWSOL
042000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
24416.67%42685.71%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
59696944772
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7515149.67%7614552.41%5110051.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
122651366110751


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 - 2020-10-097Punishers3Thunderbirds4LBoxScore
2 - 2020-10-1015Punishers6Thunderbirds5WXBoxScore
3 - 2020-10-1123Thunderbirds4Punishers0LBoxScore
4 - 2020-10-1231Thunderbirds5Punishers4LBoxScore
5 - 2020-10-1339Punishers4Thunderbirds3WXBoxScore
6 - 2020-10-1447Thunderbirds6Punishers3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance4,6482,329
Attendance PCT77.47%77.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
37 2326 - 77.52% 81,375$244,125$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,491,500$ 1,486,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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