Bruins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pascal Lemelin | Morale : 75 | Team Overall : 62

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# 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
1Mark Kastelic (R)47X100.00867765629074896187656267616466075650
2Boris Katchouk0X100.00804283648277826158625866606567075640
3Georgii Merkulov (R)42X100.00603886656982736468656259636465075630
4Justin Richards (R) (A)90XX100.00713981657078846370675862596567075630
5Jacob Peterson (R) (C)4X100.00623789647383856281616362646567075630
6Austin Rueschhoff (R) (A)85X100.00908574579978805659575663576668075620
7Tyler Benson (R)61XX100.00683881627276776463615960646567075620
8Gage Goncalves (R)39X100.00623884627175876173655859636264075620
9Cole Schwindt (R)79XX100.00703889597783875859565760576264075610
10Josh Melnick37X100.00583694586773845764585956576870075610
11Mason Jobst27XX100.00563785606577785969615855596971075610
12Mitchell McLain6X100.00654560597480855862556057597072075610
13Calen Addison (R)34X100.00553375716786826730725955536264075640
14Nick Perbix (R)48X100.00693791657984756630676062536566075640
15Connor Mackey (R)3X100.00754862638083766230656164506667075630
16Jake Christiansen (R)32X100.00634080617388876330645962506466075630
17Nick Cicek (R)59X100.00744270618478796330665864506365075630
18Tim Berni (R)96X100.00733881647384886330605865506365075630
19Sean Day (R)74X100.00774083598774855630555062466567075610
Scratches
1Kyle MacLean (R)12XX100.00684270577775855664575859556466075600
2Mason Primeau (R)58X100.00814274559069745462535760566264075600
3Danila Klimovich (R)46X100.00724179578179845660555859606162075600
4Hugh McGing (R)11X100.00553876596480865763585960566567075600
5Bobby Trivigno (R)41X100.00613688586182725761595552566466075590
6Ben McCartney (R)62X100.00794167557182795758545556606264075590
7Ty Tullio (R)49X100.00633691586377715760565853556163075590
8Stelio Mattheos21XX100.00684174577775745657555453586466075590
9Lukas Svejkovsky (R)72X100.00633595566381685560585352546264075580
10Ilya Solovyov (R)80X100.00764183548566825330555358466365075590
TEAM AVERAGE100.0069428060757981595560585956646607561
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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 Bussi (R)100.0076626391757476757476756573075660
2Eetu Makiniemi (R)100.0074636477737274737274736471075640
Scratches
1Mack Guzda (R)100.0071646592706971706971706267075630
2David Tendeck (R)100.0068565772676668676668676471075600
3Ryan Fanti (R)100.0064565782636264636264636471075590
TEAM AVERAGE100.007160618370697170697170647107562
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Nelson65726873817669CAN5311,000,000$


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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
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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Austin RueschhoffRW269/7/1997Yes230 Lbs6 ft7NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Ben McCartneyLW227/13/2001Yes182 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Bobby TrivignoLW241/19/1999Yes161 Lbs5 ft8NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Boris Katchouk (1 Way Contract)LW256/18/1998No206 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$925,000$479,630$NoLink / NHL Link
Brandon BussiG256/25/1998Yes209 Lbs6 ft5NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Calen AddisonD234/11/2000Yes173 Lbs5 ft11NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Cole SchwindtC/RW224/25/2001Yes182 Lbs6 ft2NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Connor MackeyD279/12/1996Yes197 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Danila KlimovichRW201/9/2003Yes202 Lbs6 ft2NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
David TendeckG2411/25/1999Yes173 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoNHL Link
Eetu MakiniemiG244/19/1999Yes184 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gage GoncalvesC221/16/2001Yes181 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Georgii MerkulovLW2310/10/2000Yes181 Lbs5 ft11NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Hugh McGingLW257/11/1998Yes176 Lbs5 ft8NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ilya SolovyovD237/20/2000Yes208 Lbs6 ft3NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Jacob PetersonC247/19/1999Yes180 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jake ChristiansenD249/12/1999Yes193 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Josh MelnickC287/10/1995No175 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Justin RichardsC/RW253/17/1998Yes190 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kyle MacLeanC/LW244/29/1999Yes183 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Lukas SvejkovskyRW2211/28/2001Yes165 Lbs5 ft10NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Mack GuzdaG221/11/2001Yes215 Lbs6 ft5NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Mark KastelicC243/11/1999Yes233 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Mason JobstC/LW292/17/1994No185 Lbs5 ft8NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Mason PrimeauC227/28/2001Yes205 Lbs6 ft5NoNoNo1ELCPro & Farm750,000$0$0$NoLink / NHL Link
Mitchell McLainC3012/9/1993No196 Lbs6 ft0NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Nick CicekD235/29/2000Yes201 Lbs6 ft3NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Nick PerbixD256/15/1998Yes191 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryan FantiG2410/3/1999Yes194 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sean DayD251/9/1998Yes218 Lbs6 ft3NoNoNo1RFAPro & Farm850,000$0$0$NoLink / NHL Link
Stelio MattheosC/RW246/14/1999No196 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Tim BerniD232/11/2000Yes192 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Ty TullioRW214/5/2002Yes165 Lbs5 ft10NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Tyler BensonLW/RW253/15/1998Yes190 Lbs6 ft0NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3424.09192 Lbs6 ft11.71897,794$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Boris KatchoukMark KastelicJustin Richards40122
2Georgii MerkulovJacob PetersonAustin Rueschhoff30122
3Tyler BensonGage GoncalvesCole Schwindt20122
4Mason Jobst10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonNick Perbix40122
2Tim BerniJake Christiansen30122
3Nick CicekConnor Mackey20122
4Calen AddisonNick Perbix10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Boris KatchoukMark KastelicJustin Richards60122
2Georgii MerkulovJacob PetersonAustin Rueschhoff40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonNick Perbix60122
2Tim BerniJake Christiansen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark KastelicBoris Katchouk60122
2Jacob PetersonGeorgii Merkulov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonNick Perbix60122
2Tim BerniJake Christiansen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mark Kastelic60122Calen AddisonNick Perbix60122
2Boris Katchouk40122Tim BerniJake Christiansen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mark KastelicBoris Katchouk60122
2Jacob PetersonGeorgii Merkulov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonNick Perbix60122
2Tim BerniJake Christiansen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Boris KatchoukMark KastelicJustin RichardsCalen AddisonNick Perbix
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Boris KatchoukMark KastelicJustin RichardsCalen AddisonNick Perbix
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Benson, Gage Goncalves, Mason JobstTyler Benson, Gage GoncalvesMason Jobst
Extra Defensemen
Normal PowerPlayPenalty Kill
Nick Cicek, Connor Mackey, Tim BerniNick CicekConnor Mackey, Tim Berni
Penalty Shots
Mark Kastelic, Boris Katchouk, Jacob Peterson, Georgii Merkulov, Justin Richards
Goalie
#1 : Eetu Makiniemi, #2 :
Custom OT Lines Forwards
Mark Kastelic, Boris Katchouk, Jacob Peterson, Georgii Merkulov, Justin Richards, Austin Rueschhoff, Austin Rueschhoff, Tyler Benson, Gage Goncalves, Mason Jobst, Cole Schwindt
Custom OT Lines Defensemen
Calen Addison, Nick Perbix, Tim Berni, Jake Christiansen, Nick Cicek


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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
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price4828
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,960,000$ 2,760,000$ 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$ 14 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
Regular Season
238234310555231829820411913051211621293341151800431156169-139531856187922118939716324410581074106376324896169520822475823.48%3046977.30%21607318550.46%1532329746.47%667137548.51%1937136420345801006499
238240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
20228235340562034930940411917031101821622041161702510167147209034963598421136108989318210421007109844304584658619612516224.70%2436174.90%11606305752.54%1577307651.27%750140553.38%2038145018935731021519
20228244250234433329142412111023221651372841231400022168154141073336009332113310193830779811044103055286279957818912436727.57%2576176.26%41583301552.50%1573298152.77%792144854.70%2047144418875821041533
20238237370422028726720412314021101591263341142302110128141-13882875218084310498796272991391687827268577370419702495220.88%2945182.65%51708294458.02%1636288956.63%766131858.12%2060143818325861047537
Total Regular Season4101901550192117815891441148205104680158648266891372058687041311476375211481158928494438129593496464481521950264997504424914609414731529911125328923.06%133728878.46%1381871529253.54%78901515652.06%3727693053.78%1014071439501290451702629
Playoff
2022514000001315-22110000054130300000811-321323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633
Total Playoff514000001315-22110000054130300000811-321323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633