Login

Bruins
GP: 51 | W: 22 | L: 19 | OTL: 10 | P: 54
GF: 170 | GA: 183 | PP%: 17.55% | PK%: 70.14%
GM : Cole Geddes | Morale : 50 | Team Overall : 61
Next Games #719 vs Admirals
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Bruins
22-19-10, 54pts
3
FINAL
2 Phantoms
22-22-1, 45pts
Team Stats
OTL1StreakL1
10-10-3Home Record13-11-0
12-9-7Home Record9-11-1
3-3-4Last 10 Games5-5-0
3.33Goals Per Game3.02
3.59Goals Against Per Game2.98
17.55%Power Play Percentage21.25%
70.14%Penalty Kill Percentage79.12%
Bruins
22-19-10, 54pts
4
FINAL
5 Oil Kings
29-16-3, 61pts
Team Stats
OTL1StreakOTW1
10-10-3Home Record16-7-1
12-9-7Home Record13-9-2
3-3-4Last 10 Games6-4-0
3.33Goals Per Game3.33
3.59Goals Against Per Game2.98
17.55%Power Play Percentage23.81%
70.14%Penalty Kill Percentage79.61%
Admirals
23-19-7, 53pts
Day 138
Bruins
22-19-10, 54pts
Team Stats
L1StreakOTL1
9-11-4Home Record10-10-3
14-8-3Away Record12-9-7
2-7-1Last 10 Games3-3-4
3.02Goals Per Game3.33
3.16Goals Against Per Game3.33
19.67%Power Play Percentage17.55%
79.31%Penalty Kill Percentage70.14%
Bears
15-28-5, 35pts
Day 142
Bruins
22-19-10, 54pts
Team Stats
OTL1StreakOTL1
9-12-3Home Record10-10-3
6-16-2Away Record12-9-7
4-4-2Last 10 Games3-3-4
2.69Goals Per Game3.33
3.71Goals Against Per Game3.33
19.21%Power Play Percentage17.55%
79.62%Penalty Kill Percentage70.14%
Bruins
22-19-10, 54pts
Day 146
Senators
24-22-3, 51pts
Team Stats
OTL1StreakW2
10-10-3Home Record15-7-2
12-9-7Away Record9-15-1
3-3-4Last 10 Games7-3-0
3.33Goals Per Game3.29
3.59Goals Against Per Game3.29
17.55%Power Play Percentage20.83%
70.14%Penalty Kill Percentage75.59%
Team Leaders
Mason ShawGoals
Mason Shaw
25
Mason ShawAssists
Mason Shaw
29
Mason ShawPoints
Mason Shaw
54
Plus/Minus
Filip Roos
7
Antoine BibeauWins
Antoine Bibeau
21
Save Percentage
Jaxson Stauber
0.933

Team Stats
Goals For
170
3.33 GFG
Shots For
1608
31.53 Avg
Power Play Percentage
17.6%
43 GF
Offensive Zone Start
42.7%
Goals Against
183
3.59 GAA
Shots Against
1470
28.82 Avg
Penalty Kill Percentage
70.1%%
43 GA
Defensive Zone Start
36.8%
Team Info

General ManagerCole Geddes
CoachRyan Huska
DivisionAtlantic
ConferenceCanadian
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,263
Season Tickets0


Roster Info

Pro Team22
Farm Team19
Contract Limit41 / 250
Prospects26


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
1Mason Shaw (R)X100.00697175647063696159686373545757047650251900,000$
2Jansen HarkinsX100.006357776366616960666463685460570506302621,250,000$
3Lane PedersonX100.00666076587161615771646064545857050620262900,000$
4Marc McLaughlin (R)X100.005853696068676258655962625458560506102411,350,000$
5Gage QuinneyX100.005560666260656463556061615765590506102811,000,000$
6Valtteri Puustinen (R)X100.00556066645968666355606258545855050610241900,000$
7Hugh McGing (R)X100.00565864605767656055585961556056050600251750,000$
8John Leonard (R)X100.005559686364666360555960595760560506002531,000,000$
9Josh Dunne (R)X100.005658646070656358695760595560560506002511,500,000$
10Sammy Walker (R)X100.005252635748626059525561615456520505802411,500,000$
11Jordan OesterleX100.00645888687375765940725979546559018680311950,000$
12Daniil Miromanov (R)X100.005654726169655959406258635460570506102611,300,000$
13Jacob LarssonX100.00575365586565635640575561546257050590261900,000$
14Filip Roos (R)X100.005548695963625653385753635154530505802511,250,000$
15Cole McWard (R)X100.005438785371675650385651625151550505702211,500,000$
Scratches
1Ben McCartney (R)X100.00565763586363625755565858545553050580221750,000$
2Pierrick Dube (R)X100.005255635853595856525457595452500505602321,000,000$
3Ethan ProwX100.00545667606067656140615661547062047600311750,000$
4Mac Hollowell (R)X100.00575368586061585740615463545956050590251750,000$
5Jake Livingstone (R)X100.005438705275685450385750665151550505702411,500,000$
TEAM AVERAGE100.0057557060646562585160586354595604860
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 SPAgeContractSalary
1Antoine Bibeau100.0057595969655566595858606960050610291800,000$
2Jaxson Stauber (R)100.00585556696757675960545554510506002411,000,000$
Scratches
TEAM AVERAGE100.005857586966566759595658625605061
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Huska62626262555550CAN471250,000$


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
1Mason ShawBruins (Bos)C51252954-83201461561906212513.16%11118923.3278154919200011013346.61%140100000.9113000373
2Gavin BayreutherBruins (Bos)D51143044-13320109117116336812.07%72120423.619615732090000105210%000010.7300000122
3Jansen HarkinsBruins (Bos)LW5117254226099901615011310.56%12109421.4771017482030000981240.91%11000100.7713000334
4Hugh McGingBruins (Bos)LW51161834-620082761523410210.53%8102920.192911301871013372035.29%6800000.6600000313
5Valtteri PuustinenBruins (Bos)RW51161834010059651384010111.59%9107020.9923535199000002143.75%8000000.6401000320
6Daniil MiromanovBruins (Bos)D5122931-116092616428463.13%73114622.49189402000110101000%000000.5400000021
7Filip RoosBruins (Bos)D51624307280833937172216.22%3582616.20314825000032000%000000.7300000202
8Jacob LarssonBruins (Bos)D5161824-4360100347025468.57%54105620.7145944189011089100%100000.4500000100
9Lane PedersonBruins (Bos)C51101222-71606710576325313.16%468813.500229660001232151.52%78800000.6413000100
10Marc McLaughlinBruins (Bos)C51912215180325768185113.24%358811.542139650000203250.66%45400010.7100000200
11Sammy WalkerBruins (Bos)RW5181321-8805953112281007.14%699319.4723529186000000043.28%6700000.4200000121
12John LeonardBruins (Bos)LW51101020-395304781255712.35%553710.5400025000061068.57%3500000.7400010101
13Mac HollowellBruins (Bos)D3211415-224050304415262.27%2466120.6905527114000153000%000000.4500000002
14Cole McWardBruins (Bos)D4921315212068382072210.00%5478215.97000112000132000%000000.3800000001
15Jordan OesterleBruins (Bos)D183912-612023413510288.57%1442323.521562278000034000%000000.5700000010
16Gage QuinneyBruins (Bos)C514711440221840123110.00%12665.230221031000040040.00%8000000.8200000000
17Josh DunneBruins (Bos)C51123000315101510.00%21022.010221120003520046.97%6600000.5800000000
18Ben McCartneyBruins (Bos)LW2000-100323120%02010.110000000000000%00000000000000
Team Total or Average815150283433-39283511271044141743899810.59%3871368316.794070110437198112310796171047.90%315000120.63310010212020
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
1Antoine BibeauBruins (Bos)51211980.8753.5928254016913470020.45511510003
2Jaxson StauberBruins (Bos)91020.9331.8126500812001100051000
Team Total or Average602219100.8793.443091401771467013115151003


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Antoine BibeauBruins (Bos)G295/1/1994No213 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------NHL Link
Ben McCartneyBruins (Bos)LW227/23/2001Yes182 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Cole McWardBruins (Bos)D226/9/2001Yes192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Daniil MiromanovBruins (Bos)D267/11/1997Yes202 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------NHL Link
Ethan ProwBruins (Bos)D3111/17/1992No182 Lbs5 ft11NoNoTrade12/30/2023NoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Filip RoosBruins (Bos)D251/5/1999Yes190 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Gage QuinneyBruins (Bos)C287/29/1995No200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------NHL Link
Hugh McGingBruins (Bos)LW257/11/1998Yes176 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Jacob LarssonBruins (Bos)D264/29/1997No195 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------NHL Link
Jake LivingstoneBruins (Bos)D244/16/1999Yes205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Jansen HarkinsBruins (Bos)LW265/23/1997No182 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------NHL Link
Jaxson StauberBruins (Bos)G244/27/1999Yes174 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------
John LeonardBruins (Bos)LW258/7/1998Yes183 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------NHL Link
Jordan OesterleBruins (Bos)D316/25/1992No182 Lbs6 ft0NoNoN/ANoNo1Pro & Farm950,000$0$0$No------------------NHL Link
Josh DunneBruins (Bos)C2512/8/1998Yes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------NHL Link
Lane PedersonBruins (Bos)C268/4/1997No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------NHL Link
Mac HollowellBruins (Bos)D259/26/1998Yes170 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Marc McLaughlinBruins (Bos)C247/26/1999Yes210 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,350,000$0$0$No------------------NHL Link
Mason ShawBruins (Bos)C2511/3/1998Yes184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------NHL Link
Pierrick DubeBruins (Bos)RW231/7/2001Yes172 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Sammy WalkerBruins (Bos)RW246/7/1999Yes180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Valtteri PuustinenBruins (Bos)RW246/4/1999Yes183 Lbs5 ft9NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2225.45189 Lbs6 ft01.231,068,182$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jansen HarkinsMason ShawValtteri Puustinen40122
2Hugh McGingLane PedersonSammy Walker30122
3John LeonardMarc McLaughlinValtteri Puustinen20122
4Jansen HarkinsGage QuinneyValtteri Puustinen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleDaniil Miromanov40122
2Jacob LarssonFilip Roos30122
3Cole McWardJordan Oesterle20122
4Daniil MiromanovJacob Larsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jansen HarkinsMason ShawValtteri Puustinen60122
2Hugh McGingLane PedersonSammy Walker40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleDaniil Miromanov60122
2Jacob LarssonFilip Roos40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mason ShawJansen Harkins60122
2Lane PedersonHugh McGing40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleDaniil Miromanov60122
2Jacob LarssonFilip Roos40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mason Shaw60122Jordan OesterleDaniil Miromanov60122
2Lane Pederson40122Jacob LarssonFilip Roos40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mason ShawJansen Harkins60122
2Lane PedersonHugh McGing40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleDaniil Miromanov60122
2Jacob LarssonFilip Roos40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jansen HarkinsMason ShawValtteri PuustinenJordan OesterleDaniil Miromanov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jansen HarkinsMason ShawValtteri PuustinenJordan OesterleDaniil Miromanov
Extra Forwards
Normal PowerPlayPenalty Kill
Marc McLaughlin, Gage Quinney, Hugh McGingMarc McLaughlin, Gage QuinneyMarc McLaughlin
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Larsson, Filip Roos, Cole McWardJacob LarssonJacob Larsson, Filip Roos
Penalty Shots
Mason Shaw, Jansen Harkins, Lane Pederson, Valtteri Puustinen, Marc McLaughlin
Goalie
#1 : Antoine Bibeau, #2 : Jaxson Stauber, #3 : 0
Custom OT Lines Forwards
Mason Shaw, Jansen Harkins, Lane Pederson, Valtteri Puustinen, Marc McLaughlin, Gage Quinney, Gage Quinney, Hugh McGing, John Leonard, Josh Dunne, Sammy Walker
Custom OT Lines Defensemen
Jordan Oesterle, Daniil Miromanov, Jacob Larsson, Filip Roos, Cole McWard


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
1Aces1010000035-21010000035-20000000000000.0003690050526473347951959031369223500.00%10100.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
2Americans2010100059-4100010004311010000016-520.50051015005052647624795195903160171056900.00%4250.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
3Barracuda11000000523000000000001100000052321.00051015005052647434795195903124522710330.00%10100.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
4Bears513010001516-121100000541302010001012-240.40015294410505264714547951959031144463010815213.33%15566.67%0884178149.64%733153747.69%42985450.23%12398381173390681345
5Crunch31200000813-52110000068-21010000025-320.3338152300505264765479519590319922208916318.75%10280.00%1884178149.64%733153747.69%42985450.23%12398381173390681345
6Devils2000010168-21000010045-11000000123-120.500610160050526476247951959031712112518225.00%50100.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
7Falcons31200000814-620200000512-71100000032120.33381422005052647102479519590318124126710220.00%6350.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
8Heat1010000023-1000000000001010000023-100.00024600505264731479519590313711436300.00%20100.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
9Ice Hogs1010000024-2000000000001010000024-200.000246005052647224795195903131610214125.00%5260.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
10Marlies20001100770200011007700000000000030.7507111800505264768479519590314814126110330.00%6266.67%0884178149.64%733153747.69%42985450.23%12398381173390681345
11Oil Kings20001100880000000000002000110088030.750815230050526476547951959031411621531119.09%7185.71%0884178149.64%733153747.69%42985450.23%12398381173390681345
12Penguins541000002213911000000422431000001811780.8002241630050526471684795195903111931251252528.00%10190.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
13Phantoms641000012316732100000138532000001108290.75023416400505264719747951959031192383213329517.24%15566.67%0884178149.64%733153747.69%42985450.23%12398381173390681345
14Rocket21000001770110000004311000000134-130.750712190050526475647951959031571712568337.50%5260.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
15Senators301002001116-51010000036-320000200810-220.333111930005052647884795195903111131307012216.67%15473.33%0884178149.64%733153747.69%42985450.23%12398381173390681345
16Sound Tigers4310000014104220000008442110000066060.7501426401050526471484795195903111126148825520.00%7357.14%0884178149.64%733153747.69%42985450.23%12398381173390681345
17Swamp Rabbits21100000761000000000002110000076120.50071421105052647794795195903138188539222.22%4175.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
18Thunderbirds1010000014-31010000014-30000000000000.0001230050526473247951959031351516203133.33%8275.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
19Wild1000010034-1000000000001000010034-110.50034700505264732479519590312466227114.29%3233.33%0884178149.64%733153747.69%42985450.23%12398381173390681345
20Wolfpack311001001113-22010010048-41100000075230.50011193000505264780479519590317726227721419.05%11554.55%0884178149.64%733153747.69%42985450.23%12398381173390681345
21Wolves1010000025-31010000025-30000000000000.000246005052647304795195903134810175120.00%4175.00%0884178149.64%733153747.69%42985450.23%12398381173390681345
Total51181904703170183-1323810023007384-1128109024039799-2540.529170310480305052647160847951959031147040731012532454317.55%1444370.14%1884178149.64%733153747.69%42985450.23%12398381173390681345
_Since Last GM Reset51181904703170183-1323810023007384-1128109024039799-2540.529170310480305052647160847951959031147040731012532454317.55%1444370.14%1884178149.64%733153747.69%42985450.23%12398381173390681345
_Vs Conference43171503503146153-71988012006167-62497023038586-1480.558146267413305052647134947951959031123634826410462013416.92%1223670.49%1884178149.64%733153747.69%42985450.23%12398381173390681345
_Vs Division9149011013039-9565001001819-1484010011220-8321.77830528200505264727447951959031276796424339820.51%301066.67%0884178149.64%733153747.69%42985450.23%12398381173390681345

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5154OTL117031048016081470407310125330
All Games
GPWLOTWOTL SOWSOLGFGA
5118194703170183
Home Games
GPWLOTWOTL SOWSOLGFGA
2381023007384
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2810924039799
Last 10 Games
WLOTWOTL SOWSOL
330202
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2454317.55%1444370.14%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
479519590315052647
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
884178149.64%733153747.69%42985450.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12398381173390681345


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
310Falcons4Bruins3BLBoxScore
630Sound Tigers3Bruins5BWBoxScore
1258Bruins8Penguins3AWBoxScore
1466Phantoms4Bruins3BLBoxScore
1680Bruins3Senators4ALXBoxScore
1894Penguins2Bruins4BWBoxScore
20105Bruins7Wolfpack5AWBoxScore
21107Bruins4Bears6ALBoxScore
25129Bruins2Ice Hogs4ALBoxScore
27140Wolfpack4Bruins1BLBoxScore
31159Bears2Bruins4BWBoxScore
34176Bruins1Penguins3ALBoxScore
37187Bruins5Phantoms3AWBoxScore
38199Bruins3Falcons2AWBoxScore
41206Falcons8Bruins2BLBoxScore
45227Marlies2Bruins3BWXBoxScore
47233Bruins4Sound Tigers2AWBoxScore
52258Wolfpack4Bruins3BLXBoxScore
54270Bruins2Sound Tigers4ALBoxScore
58289Phantoms2Bruins5BWBoxScore
60296Bruins5Swamp Rabbits2AWBoxScore
62311Bruins2Bears3ALBoxScore
64318Bruins1Americans6ALBoxScore
65327Crunch2Bruins4BWBoxScore
70352Marlies5Bruins4BLXBoxScore
73368Bruins5Barracuda2AWBoxScore
75376Bruins3Penguins2AWBoxScore
76385Senators6Bruins3BLBoxScore
80411Bruins5Senators6ALXBoxScore
81419Americans3Bruins4BWXBoxScore
84440Phantoms2Bruins5BWBoxScore
86449Bruins2Devils3ALXXBoxScore
90462Bruins2Heat3ALBoxScore
93478Aces5Bruins3BLBoxScore
95493Bruins3Wild4ALXBoxScore
98502Bruins4Oil Kings3AWXBoxScore
100509Thunderbirds4Bruins1BLBoxScore
104536Crunch6Bruins2BLBoxScore
108558Bruins4Bears3AWXBoxScore
109567Rocket3Bruins4BWBoxScore
114590Wolves5Bruins2BLBoxScore
116598Bruins2Swamp Rabbits4ALBoxScore
119619Sound Tigers1Bruins3BWBoxScore
121632Bruins2Phantoms3ALXXBoxScore
123642Bruins3Rocket4ALXXBoxScore
125654Bears2Bruins1BLBoxScore
127667Bruins2Crunch5ALBoxScore
129674Bruins6Penguins3AWBoxScore
131687Devils5Bruins4BLXBoxScore
133695Bruins3Phantoms2AWBoxScore
135706Bruins4Oil Kings5ALXBoxScore
138719Admirals-Bruins-
142746Bears-Bruins-
146770Bruins-Senators-
148778Reign-Bruins-
153802Sound Tigers-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
155815Bruins-Ice Hogs-
158833Wolfpack-Bruins-
161852Bruins-Rampage-
163861Wheat Kings-Bruins-
168884Bruins-Rocket-
170893Admirals-Bruins-
172907Bruins-Wolfpack-
174919Swamp Rabbits-Bruins-
176930Bruins-Thunderbirds-
181951Gulls-Bruins-
183964Bruins-Wolfpack-
186983Devils-Bruins-
188997Bruins-Ice Hogs-
1911012Rocket-Bruins-
1931022Bruins-Falcons-
1951038Bruins-Griffins-
1971046Penguins-Bruins-
2021072Falcons-Bruins-
2041084Bruins-Moose-
2081104Penguins-Bruins-
2101113Bruins-Thunderbirds-
2151137Oil Kings-Bruins-
2201161Monsters-Bruins-
2241182Gulls-Bruins-
2281202Bruins-Falcons-
2311220Americans-Bruins-
2361241Falcons-Bruins-
2381252Bruins-Sound Tigers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200100
Attendance34,84517,210
Attendance PCT75.75%74.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
19 2263 - 75.44% 492,089$11,318,055$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,524,976$ 2,442,500$ 2,442,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,135$ 1,383,942$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
9,349,698$ 105 11,172$ 1,173,060$




Bruins Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bruins Career Team Stats

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

Bruins Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bruins Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA