Bruins

GP: 10 | W: 4 | L: 4 | OTL: 2 | P: 10
GF: 38 | GA: 45 | PP%: 8.33% | PK%: 84.09%
GM : Françoy Lapointe | Morale : 75 | Team Overall : 59
Next Games #155 vs Admirals

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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.
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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
1Fedor SvechkovX100.006638897072808768726566686463658275650
2Luca Del Bel BelluzX100.006337956874848766706764626864657375650
3Alex NylanderX100.006938936478918563666265616368707275640
4Alexander HoltzX100.006737936874798066636562616466678575640
5Cam LundX100.006838906479886863656261606362647775620
6Dylan DukeX100.005839796367948662676165606463665875620
7Skyler Brind'Amour (R)X100.006939826179858758605561666267694275620
8Aleksanteri KaskimakiX100.006337956173828559636058615963626675610
9Lleyton Roed (R)X100.006137916070828359636058576164664375610
10Samu TuomaalaX100.005838826067827158676457565963657375600
11Gabe Klassen (R)X100.005736916166788258636059566163654575600
12Tyler Boucher (R)X100.006956705978797757545658555963658575590
13Borya Valis (R)X100.007039795679778254515355575263644575590
14Joey Willis (R)X100.006037905769778155605856545761636175590
15Pierre-Edouard BellemareXX100.004040404040404040404040404040404075420
16Tony DeAngeloX100.006237857472918173308065635674726575680
17Axel Sandin-Pellikka (R)X100.006138926974868867306863645261628375650
18Jesse Pulkkinen (R)X100.008440925593636554305350594562647175590
19Sean Behrens (R)X100.005737876266646958306054564763656775590
Scratches
1Aleksandr Kisakov (R)X100.004040404040404040404040404040404075420
2Henrik BorgstromX100.004040404040404040404040404040404075420
TEAM AVERAGE100.00613981606975745854595757566162637559
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
1Vadim Zherenko100.00758581767473757473757465734775640
2Logan Terness (R)100.00737167737271737271737264714375630
Scratches
1Jackson Parsons (R)100.00697672786867696867696862674575610
2Hunter Jones100.00587167855756585756585766756575550
TEAM AVERAGE100.0069767278686769686769686472507561
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
D.J. Smith73827677736877CAN4911,000,000$


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
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
Aleksandr KisakovRW232002-11-01Yes150 Lbs5 ft10NoNoNo2RFAPro & Farm859,167$0$0$NoLink / NHL Link
Aleksanteri KaskimakiC222004-02-06No195 Lbs6 ft0NoNoNo1ELCPro & Farm870,000$0$0$NoLink / NHL Link
Alex NylanderRW281998-03-02No205 Lbs6 ft1NoNoNo3UFAPro & Farm775,000$0$0$NoLink / NHL Link
Alexander HoltzRW242002-01-23No198 Lbs6 ft0NoNoNo1RFAPro & Farm839,725$0$0$NoLink / NHL Link
Axel Sandin-PellikkaD212005-03-11Yes186 Lbs6 ft0NoNoNo2ELCPro & Farm940,833$0$0$NoLink / NHL Link
Borya ValisRW222004-04-08Yes195 Lbs6 ft2YesNoNo2ELCPro & Farm850,000$0$0$NoLink / NHL Link
Cam LundC222004-06-07No195 Lbs6 ft2NoNoNo1ELCPro & Farm942,000$0$0$NoLink / NHL Link
Dylan DukeLW232003-03-04No184 Lbs5 ft10NoNoNo1RFAPro & Farm867,500$0$0$NoLink / NHL Link
Fedor SvechkovC232003-04-05No187 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Gabe KlassenC232003-06-30Yes178 Lbs5 ft10YesNoNo2RFAPro & Farm875,000$0$0$NoLink / NHL Link
Henrik BorgstromC291997-08-06No199 Lbs6 ft3NoNoNo1UFAPro & Farm1,300,000$0$0$NoLink / NHL Link
Hunter JonesG252000-09-21No194 Lbs6 ft4NoNoNo4RFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Jackson ParsonsG212004-11-23Yes203 Lbs6 ft1NoNoNo2ELCPro & Farm929,167$0$0$NoLink / NHL Link
Jesse PulkkinenD212004-12-27Yes203 Lbs6 ft6NoNoNo2ELCPro & Farm930,833$0$0$NoLink / NHL Link
Joey WillisLW212005-03-14Yes184 Lbs5 ft11YesNoNo2ELCPro & Farm850,000$0$0$NoLink / NHL Link
Lleyton RoedLW242002-08-08Yes179 Lbs6 ft0YesNoNo2RFAPro & Farm800,000$0$0$NoLink / NHL Link
Logan TernessG232002-09-18Yes174 Lbs6 ft1YesNoNo3RFAPro & Farm775,000$0$0$NoLink / NHL Link
Luca Del Bel BelluzC222003-11-10No185 Lbs6 ft1NoNoNo1ELCPro & Farm950,000$0$0$NoLink / NHL Link
Pierre-Edouard BellemareC/LW411985-03-06No198 Lbs5 ft11NoNoNo2UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Samu TuomaalaRW232003-01-08No174 Lbs5 ft11NoNoNo1RFAPro & Farm830,833$0$0$NoLink / NHL Link
Sean BehrensD232003-03-31Yes177 Lbs5 ft10NoNoNo2RFAPro & Farm923,333$0$0$NoLink / NHL Link
Skyler Brind'AmourC271999-07-27Yes195 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Tony DeAngeloD301995-10-24No190 Lbs6 ft0NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Tyler BoucherRW232003-01-16Yes205 Lbs6 ft1NoNoNo2RFAPro & Farm863,334$0$0$NoLink / NHL Link
Vadim ZherenkoG252001-03-15No176 Lbs6 ft2NoNoNo2RFAPro & Farm846,667$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.36188 Lbs6 ft11.84940,736$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1010W138701084834671399029600
All Games
GPWLOTWOTL SOWSOLGFGA
104401013845
Home Games
GPWLOTWOTL SOWSOLGFGA
41201001422
Visitor Games
GPWLOTWOTL SOWSOLGFGA
63200012423
Last 10 Games
WLOTWOTL SOWSOL
440101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2428.33%44784.09%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16415915611171381
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18741045.61%20042646.95%8517648.30%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2131482737111854


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 - 2026-09-183Wolf Pack4Bruins5WBoxScore
4 - 2026-09-2119Bruins3Moose5LBoxScore
5 - 2026-09-2230Bruins5Wild2WBoxScore
7 - 2026-09-2441Senators6Bruins5LXBoxScore
10 - 2026-09-2756Roadrunners5Bruins2LBoxScore
12 - 2026-09-2970Phantoms7Bruins2LBoxScore
15 - 2026-10-02105Bruins5Barracuda3WBoxScore
18 - 2026-10-05120Bruins2Gulls5LBoxScore
19 - 2026-10-06132Bruins5Reign6LXXBoxScore
22 - 2026-10-09146Bruins4Stars2WBoxScore
24 - 2026-10-11155Admirals-Bruins-
26 - 2026-10-13170Barracuda-Bruins-
29 - 2026-10-16189Bruins-Wolves-
31 - 2026-10-18207Bruins-Thunderbirds-
33 - 2026-10-20217IceHogs-Bruins-
35 - 2026-10-22232Silver Knights-Bruins-
38 - 2026-10-25251Bruins-Penguins-
41 - 2026-10-28277Checkers-Bruins-
45 - 2026-11-01300Rocket-Bruins-
47 - 2026-11-03314Wild-Bruins-
50 - 2026-11-06333Reign-Bruins-
51 - 2026-11-07344Bruins-Griffins-
54 - 2026-11-10363Bears-Bruins-
58 - 2026-11-14386Moose-Bruins-
60 - 2026-11-16400Marlies-Bruins-
62 - 2026-11-18429Canucks-Bruins-
64 - 2026-11-20440Eagles-Bruins-
68 - 2026-11-24464Griffins-Bruins-
71 - 2026-11-27487Bruins-Checkers-
73 - 2026-11-29500Bruins-Crunch-
75 - 2026-12-01514Comets-Bruins-
76 - 2026-12-02527Bruins-Wolves-
78 - 2026-12-04536Checkers-Bruins-
80 - 2026-12-06551Thunderbirds-Bruins-
82 - 2026-12-08567Bruins-Comets-
83 - 2026-12-09577Phantoms-Bruins-
85 - 2026-12-11590Bruins-Islanders-
89 - 2026-12-15602Islanders-Bruins-
90 - 2026-12-16615Bruins-Comets-
93 - 2026-12-19639Condors-Bruins-
95 - 2026-12-21651Bruins-IceHogs-
96 - 2026-12-22657Bruins-Monsters-
99 - 2026-12-25683Americans-Bruins-
100 - 2026-12-26690Bruins-Rocket-
103 - 2026-12-29712Bruins-Griffins-
106 - 2027-01-01728Wolves-Bruins-
108 - 2027-01-03743Stars-Bruins-
110 - 2027-01-05758Bruins-Wolf Pack-
112 - 2027-01-07777Crunch-Bruins-
114 - 2027-01-09795Bruins-Eagles-
116 - 2027-01-11811Bruins-Silver Knights-
117 - 2027-01-12822Bruins-Roadrunners-
120 - 2027-01-15834Monsters-Bruins-
122 - 2027-01-17849Bruins-Senators-
124 - 2027-01-19869Marlies-Bruins-
135 - 2027-01-30901Bruins-Marlies-
138 - 2027-02-02917Monsters-Bruins-
140 - 2027-02-04929Gulls-Bruins-
142 - 2027-02-06947Bruins-Heat-
144 - 2027-02-08963Bruins-Condors-
146 - 2027-02-10985Bruins-Canucks-
147 - 2027-02-11990Bruins-Firebirds-
150 - 2027-02-141007Bears-Bruins-
152 - 2027-02-161019Griffins-Bruins-
156 - 2027-02-201049Bruins-Wolf Pack-
157 - 2027-02-211056Bruins-Senators-
159 - 2027-02-231071Penguins-Bruins-
161 - 2027-02-251089Firebirds-Bruins-
163 - 2027-02-271104Bruins-Rocket-
164 - 2027-02-281107Bruins-Penguins-
166 - 2027-03-021125Heat-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
168 - 2027-03-041139Islanders-Bruins-
171 - 2027-03-071160Bruins-Phantoms-
173 - 2027-03-091178Bruins-Admirals-
176 - 2027-03-121196Americans-Bruins-
178 - 2027-03-141211Senators-Bruins-
179 - 2027-03-151224Bruins-Bears-
183 - 2027-03-191248Rocket-Bruins-
185 - 2027-03-211268Bruins-Americans-
187 - 2027-03-231278Crunch-Bruins-
189 - 2027-03-251297Bruins-Marlies-
191 - 2027-03-271312Bruins-Americans-
193 - 2027-03-291325Bruins-Checkers-
194 - 2027-03-301341Bruins-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance7,8093,938
Attendance PCT97.61%98.45%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
35 2937 - 97.89% 78,941$315,765$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
386,345$ 2,351,839$ 2,351,839$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,123$ 267,780$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,999,768$ 171 17,278$ 2,954,538$




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
201778294101502520597-7739162001200264306-4239132100302256291-3567520861138100127207185225377309318661826168021844174533813740.53%37417353.74%16704146548.05%619132946.58%924191548.25%165496717336861311641
20198237230876128023149412112033201521143841161105441128117111102804937734310798611932491130109197773297684469120512605019.23%3025581.79%31619319750.64%1580316249.97%656126551.86%1946136020026011032501
202082283907530311328-1741141805220159158141142102310152170-188131157288332135937313339511241112112153326389159322592725720.96%2646774.62%31582331047.79%1457316346.06%650140846.16%1886131220425991031499
202182234805501362456-9441122402201181225-4441112403300181231-5062362689105120016610388388801299133312284203121164225252374920.68%2937773.72%31446345741.83%1583366543.19%655157941.48%168711652258600993455
202282343803520416435-1941211502300201198341132301220215237-22834167961212100176128107429501455141914014270119660724652876823.69%2747472.99%51685371445.37%1602366343.73%706160044.13%179912712163585975462
202382274005622392435-4341141903401204228-2441132102221188207-1976392753114530016012699432701403147714124323122367026622675520.60%2827274.47%01646371344.33%1659368145.07%713156545.56%180812752162582984466
2024823439036003843795411915025001941801441152401100190199-9803847331117200161113107388101301129712733791104369525792585922.87%3095681.88%31537331446.38%1563340145.96%712151646.97%186513292106568959461
20258237330440439036921411815033021951771841191801102195192390390745113520015812610239650123213351371373299860024972856623.16%2775779.42%41597341446.78%1547329746.92%663149744.29%191013862089558952460
20261044001013845-7412001001422-863200001242311038701080017138148316415915611467139902962428.33%44784.09%018741045.61%20042646.95%8517648.30%2131482737111854
Total Regular Season66225330503644131130933275-182330136140021254415641608-44332117165015199715291667-1386593093571288051753861232923538300203148998399816840296418347643219079222854324.37%241963873.63%37120032599446.18%118102578745.80%57641252146.03%147711021716831485583594003
Playoff
201920146000007860181183000004032896300000382810287814121900311727390631827628230757221186523721318.06%811383.95%043988149.83%39281048.40%15832249.07%479339503144251121
Total Playoff20146000007860181183000004032896300000382810287814121900311727390631827628230757221186523721318.06%811383.95%043988149.83%39281048.40%15832249.07%479339503144251121