Bruins

GP: 3 | W: 3 | L: 0 | OTL: 0 | P: 6
GF: 25 | GA: 3 | PP%: 45.45% | PK%: 93.75%
GM : Steve Gagné | Morale : 50 | Team Overall : 62
Next Games #60 vs Moose

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
1Alex Limoges0XXX100.006937936678808164736563626669703650650
2Zach Aston-Reese27XXX100.007740826677828762656160695873743450650
3Cameron Hughes19XX100.005539746564858663746664676269714050640
4Curtis McKenzie0X100.007243726081808458636059615874792650630
5Cole Reinhardt0XX100.007141696279808260686159646265674750630
6Xavier Parent0XX100.006239736362878562686160626164664350620
7Ryan McAllister0X100.005836896168826962726362616064664350620
8Dylan Roobroeck0X100.008853815997777357625661586062635150610
9Ethan Keppen0X100.007439865883766457625956615764665750600
10Lucas Ciona0X100.007644665985748358535756555862644950600
11Chase Wouters0X100.006240745971798658645756555865704250600
12Bokondji Imama0XX100.007785545982677857535958565569704150600
13Luke Philp0X100.005837905867747356665957545870723550590
14Jacob Quillan0X100.006838835878777356665755595663654550590
15Justin Gill0X100.006639815776696556625552545362645650570
16Steven Santini0X100.007539895986778358305756654870725950650
17Cole Clayton0X100.007340825982648358305753564565674250610
18Maxence Guenette0X100.006538865978818358305756554964664850610
Scratches
1Justin Ertel0X100.007040775879656356615954575562646550580
2Jimmy Schuldt0X100.006938835978808661305856604970743550640
3Hunter McDonald0X100.007845655587647554305752594663654950610
TEAM AVERAGE100.00704279607876785956595760566668455061
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
1Jeremy Brodeur100.00717267717069717069717069833650690
2Jesper Vikman100.00667571796564666564666563695850660
Scratches
TEAM AVERAGE100.0069746975686769686769686676475068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Tanguay64667270696480CAN4671,000,000$


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
1Zach Aston-ReeseBruins (Bos)C/LW/RW3369620552021215.00%17023.46112270001160075.00%400002.5600000100
2Cole ReinhardtBruins (Bos)LW/RW3369104056143821.43%16020.26000070000700100.00%100002.9600000020
3Alex LimogesBruins (Bos)C/LW/RW31676003513387.69%07525.22011070001170080.77%10400001.8500000001
4Curtis McKenzieBruins (Bos)LW3336640711931115.79%05217.5220235000021050.00%200002.2800000000
5Cameron HughesBruins (Bos)C/LW215650012153116.67%04120.9301115000160076.00%5000002.8700000000
6Ryan McAllisterBruins (Bos)C324662005143814.29%04314.3601101000000079.55%4400002.7900000100
7Bokondji ImamaBruins (Bos)LW/RW315664052721114.29%14314.3510111000000050.00%200002.7900000002
8Cole ClaytonBruins (Bos)D31456002231233.33%26321.0301116000014000.00%000001.5900000000
9Dylan RoobroeckBruins (Bos)C32134609081625.00%04916.4801105000000080.00%2000001.2100000000
10Xavier ParentBruins (Bos)C/RW21235203363916.67%03417.33011150000000100.00%300001.7300000000
11Ethan KeppenBruins (Bos)LW31126003130333.33%34414.990000100000010.00%000000.8900000010
12Luke PhilpBruins (Bos)RW320230013133815.38%04113.6900000000000066.67%300000.9700000100
13Lucas CionaBruins (Bos)LW311272011030033.33%24214.030000000000100.00%000000.9500000000
14Steven SantiniBruins (Bos)D31125404551420.00%27224.1710126000011100.00%000000.5500000000
15Maxence GuenetteBruins (Bos)D31125404131133.33%17324.4401116000012000.00%000000.5500000000
16Chase WoutersBruins (Bos)C3011300000110.00%0186.0700000000010050.00%200001.1000000000
17Jacob QuillanBruins (Bos)C3000000000000.00%010.650000000000000.00%000000.0000000000
18Justin GillBruins (Bos)C3000100000000.00%041.660000000004000.00%000000.0000000000
Team Total or Average522447719034063411463010316.44%1383316.03581312650003963178.72%23500001.7000000333
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
1Jeremy BrodeurBruins (Bos)22000.9551.00120002440100.000020000
Team Total or Average22000.9551.00120002440100.000020000


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
Alex LimogesC/LW/RW271997-09-16No201 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Bokondji ImamaLW/RW291996-08-03No221 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cameron HughesC/LW281996-10-09No160 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Chase WoutersC252000-02-08No182 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cole ClaytonD252000-02-29No209 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cole ReinhardtLW/RW252000-02-01No207 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Curtis McKenzieLW341991-02-22No205 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dylan RoobroeckC212004-07-27No207 Lbs6 ft7NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Ethan KeppenLW242001-03-20No212 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Hunter McDonaldD232002-05-11No205 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jacob QuillanC232002-02-02No204 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Jeremy BrodeurG281996-10-29No185 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Jesper VikmanG232002-03-11No179 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jimmy SchuldtD301995-05-11No203 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Justin ErtelLW222003-05-27No192 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Justin GillC222003-01-27No195 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Lucas CionaLW222003-01-08No210 Lbs6 ft3NoNoNo1ELCPro & Farm300,000$0$0$NoLink / NHL Link
Luke PhilpRW291995-11-06No181 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Maxence GuenetteD242001-04-28No181 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan McAllisterC232001-12-19No183 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Steven SantiniD301995-03-07No214 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Xavier ParentC/RW242001-03-23No170 Lbs5 ft8NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Zach Aston-ReeseC/LW/RW311994-08-10No200 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.74196 Lbs6 ft12.04360,870$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach Aston-ReeseAlex LimogesCole Reinhardt40122
2Curtis McKenzieCameron HughesXavier Parent30122
3Bokondji ImamaRyan McAllisterLuke Philp20122
4Ethan KeppenDylan RoobroeckAlex Limoges10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniMaxence Guenette40122
2Cole ClaytonDylan Roobroeck30122
3Ethan KeppenLucas Ciona20122
4Steven SantiniMaxence Guenette10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach Aston-ReeseAlex LimogesCole Reinhardt60122
2Curtis McKenzieCameron HughesXavier Parent40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniMaxence Guenette60122
2Cole ClaytonDylan Roobroeck40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alex LimogesZach Aston-Reese60122
2Cameron HughesCole Reinhardt40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniMaxence Guenette60122
2Cole Clayton40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alex Limoges60122Steven SantiniMaxence Guenette60122
2Zach Aston-Reese40122Cole Clayton40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alex LimogesZach Aston-Reese60122
2Cameron HughesCole Reinhardt40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniMaxence Guenette60122
2Cole Clayton40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach Aston-ReeseAlex LimogesCole ReinhardtSteven SantiniMaxence Guenette
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach Aston-ReeseAlex LimogesCole ReinhardtSteven SantiniMaxence Guenette
Extra Forwards
Normal PowerPlayPenalty Kill
Chase Wouters, Jacob Quillan, Justin GillChase Wouters, Jacob QuillanJustin Gill
Extra Defensemen
Normal PowerPlayPenalty Kill
Cole Clayton, Steven Santini, Maxence GuenetteCole ClaytonSteven Santini, Maxence Guenette
Penalty Shots
Alex Limoges, Zach Aston-Reese, Cameron Hughes, Cole Reinhardt, Curtis McKenzie
Goalie
#1 : Jeremy Brodeur, #2 : Jesper Vikman


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
36W32547721516813346400
All Games
GPWLOTWOTL SOWSOLGFGA
3300000253
Home Games
GPWLOTWOTL SOWSOLGFGA
2200000172
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000081
Last 10 Games
WLOTWOTL SOWSOL
300000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
11545.45%16193.75%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
603556011680
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8611078.18%536680.30%476078.33%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1138935133119


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 - 2025-08-156Roadrunners1Bruins7WBoxScore
4 - 2025-08-1825Bruins8Roadrunners1WBoxScore
7 - 2025-08-2142Reign1Bruins10WBoxScore
9 - 2025-08-2360Bruins-Moose-
10 - 2025-08-2471Bruins-Barracuda-
11 - 2025-08-2575Bruins-Reign-
14 - 2025-08-2893Moose-Bruins-
16 - 2025-08-30108Bruins-Islanders-
18 - 2025-09-01124Barracuda-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
23 - 2025-09-06151Roadrunners-Bruins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
3 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 83,000$ 83,000$ 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$ 18 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