Out of Date Version of the STHS! Please update your version!
Login

Bruins
GP: 82 | W: 37 | L: 35 | OTL: 10 | P: 84
GF: 290 | GA: 222 | PP%: 19.71% | PK%: 82.24%
GM : Chris | Morale : 50 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Bruins
37-35-10, 84pts
7
FINAL
1 Roadrunners
39-40-3, 81pts
Team Stats
W3StreakSOL1
21-15-5Home Record21-20-0
16-20-5Away Record18-20-3
7-3-0Last 10 Games5-4-1
3.54Goals Per Game3.07
2.71Goals Against Per Game3.01
19.71%Power Play Percentage13.69%
82.24%Penalty Kill Percentage85.48%
Islanders
5-75-2, 12pts
1
FINAL
7 Bruins
37-35-10, 84pts
Team Stats
L2StreakW3
2-37-2Home Record21-15-5
3-38-0Away Record16-20-5
0-9-1Last 10 Games7-3-0
1.59Goals Per Game3.54
7.13Goals Against Per Game2.71
10.57%Power Play Percentage19.71%
71.01%Penalty Kill Percentage82.24%
Team Leaders
Goals
Grigori Denisenko
53
Assists
Pavol Regenda
59
Points
Grigori Denisenko
94
Alex Barre-BouletPlus/Minus
Alex Barre-Boulet
50
Wins
Jaxson Stauber
31
Save Percentage
Arvid Soderblom
0.896

Team Stats
Goals For
290
3.54 GFG
Shots For
2127
25.94 Avg
Power Play Percentage
19.7%
68 GF
Offensive Zone Start
38.3%
Goals Against
222
2.71 GAA
Shots Against
1769
21.57 Avg
Penalty Kill Percentage
82.2%%
73 GA
Defensive Zone Start
39.2%
Team Info

General ManagerChris
CoachRyan Warsofsky
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance1,840
Season Tickets0


Roster Info

Pro Team20
Farm Team19
Contract Limit39 / 51
Prospects44


Team History

This Season37-35-10 (84PTS)
History89-51-9 (0.597%)
Playoff Appearances1
Playoff Record (W-L)4-6
Stanley Cup0


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
1Nathan WalkerX100.0086758772675783654461706825606169506503111,000,000$
2Grigori DenisenkoX100.0068637878638388645063616258464765506402411,775,000$
3Lane PedersonX100.0074708265707274658061646761545466506302721,000,000$
4Oliver WahlstromX100.0076449180785855703761576561626364506302421,000,000$
5Pavol RegendaX100.007780716580747862505564656145456550620251925,000$
6Alex Barre-BouletXX100.0069419073595880684758706125525268506202711,250,000$
7Marian StudenicX100.0071629272627883625061596356484964506202621,100,000$
8Ben MeyersXX100.008044917069567962575956672552536350610262800,000$
9Kyle MacLeanXX100.008464896368568762716364632546466750610251525,000$
10Jeffrey VielX100.006371436171788361505661595848486150600282900,000$
11Josiah SlavinX100.006761816561778453664953585044445750570261925,000$
12Josh DunneX100.007780706780535450634847624544445450550261800,000$
13Nils LundkvistX100.0069429177676477672563486125595961506402411,775,000$
14Tyler TuckerX100.009099576579596663254348732549495950630251808,333$
15Filip RoosX100.007772896572687448254040623845455350590251925,000$
16Nikolai KnyzhovX100.0075728267725860522545416439555554505902721,500,000$
17Jake LivingstoneX100.007877815977667148254040623844445350580261775,000$
Scratches
1Fredrik OlofssonXX100.007143956773548765686057802555566550640282900,000$
TEAM AVERAGE100.00756481687065766048555665415051625061
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
1Arvid Soderblom100.00626865736558696365627548486450620251950,000$
2Jaxson Stauber100.00524658705455535857563044445450550251925,000$
Scratches
TEAM AVERAGE100.0057576272605761616159534646595059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Warsofsky73707462514892USA342700,000$


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
1Grigori DenisenkoBruins (BOS)RW815341943107528217538410126513.80%19175821.70151732742942243614252.22%9000021.0705001989
2Nathan WalkerBruins (BOS)LW824639853012325229943087820314.94%13135316.50131023542071013588142.19%12800021.26382216102
3Pavol RegendaBruins (BOS)RW822559842713640159591795013113.97%34142717.4111182978232000002270.00%1000011.1800412642
4Oliver WahlstromBruins (BOS)RW78235578264001041162115316110.90%6123415.834212541199000000040.35%5700001.2600000314
5Marian StudenicBruins (BOS)RW823335684933557921664210619.88%23115514.09336197701111014050.00%5000021.1800001583
6Alex Barre-BouletBruins (BOS)LW/RW782830585032035691934611314.51%1084710.8610137000124254.55%4400001.3700000256
7Kyle MacLeanBruins (BOS)C/LW7810364648540909510438909.62%483610.72000130000112064.96%76200001.1000000113
8Nikolai KnyzhovBruins (BOS)D781332451885513072102265312.75%76166021.296915622410111245210.00%000000.5400100104
9Filip RoosBruins (BOS)D821131422282201365973235915.07%86177221.6251116432420111285310.00%000000.4700121232
10Ben MeyersBruins (BOS)C/LW82103141356951066569183714.49%47122114.9000000000000052.53%9900010.6700001112
11Jake LivingstoneBruins (BOS)D78112839206601554764235117.19%82164221.065914332340002272300.00%000000.4700000205
12Jeffrey VielBruins (BOS)LW7512132531115151583261153019.67%37112715.0300000000002050.00%600010.4400030111
13Nils LundkvistBruins (BOS)D7002020243355444228100.00%2486412.350111210001300071.43%700000.4600010001
14Josiah SlavinBruins (BOS)C7138112602322318269.68%42773.9115614530000270166.67%4800000.7900000102
15Lane PedersonBruins (BOS)C5235380561431114.29%18216.40112310000010069.01%7100001.2200000000
16Tyler TuckerBruins (BOS)D23235416029661733.33%41978.6000001000016000.00%000000.5100000000
17Josh DunneBruins (BOS)C750221201284490.00%0851.1400003000000047.06%1700000.4700000000
Team Total or Average12002824667483931007125176410611991537136214.16%4701754414.62651051704261830358131116341059.32%138900090.85313897404246
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
1Jaxson StauberBruins (BOS)73313170.8782.6541164718214890510.500167382510
2Arvid SoderblomBruins (BOS)134450.8962.2677021292800000.7504130100
Team Total or Average863535120.8812.594886682111769051208682610


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
Alex Barre-BouletBruins (BOS)LW/RW271997-05-20No167 Lbs5 ft9NoNoNo1Pro & Farm1,250,000$0$0$NoLink / NHL Link
Arvid SoderblomBruins (BOS)G251999-08-19No180 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$NoLink
Ben MeyersBruins (BOS)C/LW261998-11-15No194 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No800,000$Link
Filip RoosBruins (BOS)D251999-05-01No189 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLink
Fredrik OlofssonBruins (BOS)C/LW281996-05-27No196 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Grigori DenisenkoBruins (BOS)RW242000-06-24No174 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$0$0$NoLink
Jake LivingstoneBruins (BOS)D261999-04-16No205 Lbs6 ft3NoNoNo1Pro & Farm775,000$0$0$NoLink
Jaxson StauberBruins (BOS)G251999-04-27No175 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLink
Jeffrey VielBruins (BOS)LW281997-01-28No195 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Josh DunneBruins (BOS)C261998-12-08No210 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$NoLink
Josiah SlavinBruins (BOS)C261998-12-31No161 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLink
Kyle MacLeanBruins (BOS)C/LW251999-04-29No180 Lbs6 ft0NoNoNo1Pro & Farm525,000$0$0$NoLink
Lane PedersonBruins (BOS)C271997-08-04No190 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link / NHL Link
Marian StudenicBruins (BOS)RW261998-10-28No165 Lbs6 ft0NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Link / NHL Link
Nathan WalkerBruins (BOS)LW311994-02-07No185 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$0$0$NoLink / NHL Link
Nikolai KnyzhovBruins (BOS)D271998-03-20No194 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Link
Nils LundkvistBruins (BOS)D242000-07-27No187 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$0$0$NoLink
Oliver WahlstromBruins (BOS)RW242000-06-13No211 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link / NHL Link
Pavol RegendaBruins (BOS)RW251999-07-12No218 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLink
Tyler TuckerBruins (BOS)D252000-03-01No205 Lbs6 ft1NoNoNo1Pro & Farm808,333$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2026.00189 Lbs6 ft11.351,027,917$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Grigori Denisenko40122
2Nathan WalkerOliver Wahlstrom30122
3Alex Barre-BouletKyle MacLeanMarian Studenic20122
4Jeffrey VielBen MeyersPavol Regenda10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovFilip Roos40122
2Jake LivingstonePavol Regenda30122
3Ben MeyersJeffrey Viel20122
4Nikolai KnyzhovFilip Roos10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Grigori Denisenko60122
2Nathan WalkerOliver Wahlstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovFilip Roos60122
2Jake LivingstonePavol Regenda40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Nathan WalkerGrigori Denisenko40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovFilip Roos60122
2Jake Livingstone40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Nikolai KnyzhovFilip Roos60122
240122Jake Livingstone40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Nathan WalkerGrigori Denisenko40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovFilip Roos60122
2Jake Livingstone40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Grigori DenisenkoNikolai KnyzhovFilip Roos
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Grigori DenisenkoNikolai KnyzhovFilip Roos
Extra Forwards
Normal PowerPlayPenalty Kill
Josiah Slavin, Josh Dunne, Marian StudenicJosiah Slavin, Josh DunneMarian Studenic
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Livingstone, Nikolai Knyzhov, Filip RoosJake LivingstoneNikolai Knyzhov, Filip Roos
Penalty Shots
, , Nathan Walker, Grigori Denisenko,
Goalie
#1 : , #2 : Jaxson Stauber
Custom OT Lines Forwards
, , Nathan Walker, Grigori Denisenko, , Oliver Wahlstrom, Oliver Wahlstrom, Marian Studenic, Alex Barre-Boulet, Pavol Regenda, Kyle MacLean
Custom OT Lines Defensemen
Nikolai Knyzhov, Filip Roos, Jake Livingstone, ,


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
1 Americans2010000168-21010000023-11000000145-110.2506101600124917433673969667835531138411218.33%12283.33%0804206738.90%656211930.96%465121638.24%216015951885529922474
2Admirals22000000808110000004041100000040441.000815230212491743937396966783527814433133.33%60100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
3Barracuda2110000058-3110000005231010000006-620.50051015001249174340739696678353982535500.00%11372.73%0804206738.90%656211930.96%465121638.24%216015951885529922474
4Bears44000000356292200000020416220000001521381.0003560950112491743163739696678356419369110550.00%180100.00%2804206738.90%656211930.96%465121638.24%216015951885529922474
5Canucks2010000168-21010000023-11000000145-110.25061117001249174337739696678354721373513215.38%15660.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
6Checkers633000001112-1211000003304220000089-160.50011172801124917439673969667835157508412719210.53%39782.05%0804206738.90%656211930.96%465121638.24%216015951885529922474
7Comets2010000158-31000000145-11010000013-210.2505914001249174349739696678354810205016425.00%10280.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
8Condors211000004401010000002-21100000042220.5004711001249174332739696678354715293012433.33%12191.67%0804206738.90%656211930.96%465121638.24%216015951885529922474
9Crunch2110000045-1110000003211010000013-220.500459001249174329739696678354272245600.00%11281.82%0804206738.90%656211930.96%465121638.24%216015951885529922474
10Eagles2010010046-21000010023-11010000023-110.250481200124917434773969667835491428567228.57%12375.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
11Firebirds2200000017710110000008351100000094541.000172845001249174385739696678354081858200.00%8275.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
12Griffins2010000124-21010000012-11000000112-110.250246001249174333739696678354610204316212.50%9277.78%0804206738.90%656211930.96%465121638.24%216015951885529922474
13Gulls220000001028110000003121100000071641.00010192900124917431037396966783526716622150.00%80100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
14Ice Hogs220000001138110000003121100000082641.00011193000124917439073969667835231113505120.00%40100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
15Islanders550000004173433000000285232200000013211101.00041671080112491743227739696678356820301045120.00%15193.33%0804206738.90%656211930.96%465121638.24%216015951885529922474
16Marlies2110000079-2110000005411010000025-320.5007132000124917435473969667835479403413215.38%10550.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
17Monsters22000000523110000002111100000031241.0005101500124917434473969667835311225381218.33%90100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
18Moose20200000610-41010000057-21010000013-200.00061016001249174342739696678355514283619421.05%14285.71%0804206738.90%656211930.96%465121638.24%216015951885529922474
19Penguins421000011495220000007072010000179-250.62514264002124917431237396966783510121518815213.33%22481.82%0804206738.90%656211930.96%465121638.24%216015951885529922474
20Phantoms53000101201463200010011922100000195480.80020375700124917439373969667835119357710030826.67%29486.21%0804206738.90%656211930.96%465121638.24%216015951885529922474
21Reign2020000059-41010000023-11010000036-300.00051015001249174346739696678354315374611218.18%9455.56%0804206738.90%656211930.96%465121638.24%216015951885529922474
22Roadrunners211000008351010000012-11100000071620.50081523001249174341739696678353311264111327.27%12283.33%1804206738.90%656211930.96%465121638.24%216015951885529922474
23Rocket30300000514-91010000024-220200000310-700.000591410124917435973969667835943039591516.67%16381.25%0804206738.90%656211930.96%465121638.24%216015951885529922474
24Senators2110000069-3110000003211010000037-420.50061016001249174335739696678354717264112216.67%13284.62%0804206738.90%656211930.96%465121638.24%216015951885529922474
25Silver Knights2020000037-41010000034-11010000003-300.0003360012491743287396966783537142338500.00%9455.56%0804206738.90%656211930.96%465121638.24%216015951885529922474
26Stars2200000011110110000007071100000041341.0001117280112491743927396966783524712414250.00%60100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
27Thunderbirds2020000047-31010000001-11010000046-200.0004590012491743357396966783548832438337.50%16381.25%0804206738.90%656211930.96%465121638.24%216015951885529922474
28Wild2010010026-41000010023-11010000003-310.250246001249174336739696678354761251800.00%50100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
29Wolf Pack505000001118-730300000813-52020000035-200.000111526001249174310973969667835143557211322627.27%29679.31%0804206738.90%656211930.96%465121638.24%216015951885529922474
30Wolves41200010880201000105502110000033040.50081422011249174385739696678358214487315426.67%17382.35%0804206738.90%656211930.96%465121638.24%216015951885529922474
31Wranglers2010000168-21000000123-11010000045-110.25061117001249174345739696678354214163812216.67%50100.00%0804206738.90%656211930.96%465121638.24%216015951885529922474
Total823635003172902226841201500312153100534116200000513712215840.5122904987881912491743212773969667835176950199417503456819.71%4117382.24%3804206738.90%656211930.96%465121638.24%216015951885529922474
_Since Last GM Reset823635003172902226841201500312153100534116200000513712215840.5122904987881912491743212773969667835176950199417503456819.71%4117382.24%3804206738.90%656211930.96%465121638.24%216015951885529922474
_Vs Conference502320001151801334725148001111046242259120000476715540.5401803074871612491743123673969667835113633062710412194219.18%2624782.06%2804206738.90%656211930.96%465121638.24%216015951885529922474
_Vs Division3118110011213972671710500110854243148600002543024410.6611392383770512491743893739696678356561863596571253124.80%1492086.58%2804206738.90%656211930.96%465121638.24%216015951885529922474

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8284W329049878821271769501994175019
All Games
GPWLOTWOTL SOWSOLGFGA
8236350317290222
Home Games
GPWLOTWOTL SOWSOLGFGA
4120150312153100
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4116200005137122
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3456819.71%4117382.24%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7396966783512491743
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
804206738.90%656211930.96%465121638.24%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
216015951885529922474


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 - 2024-10-189Bruins3Rocket8ALBoxScore
3 - 2024-10-2021Wolf Pack5Bruins3BLBoxScore
4 - 2024-10-2126Bruins2Checkers4ALBoxScore
7 - 2024-10-2453Islanders2Bruins12BWBoxScore
10 - 2024-10-2776Phantoms5Bruins4BLXBoxScore
12 - 2024-10-2991Bruins9Bears2AWBoxScore
13 - 2024-10-3095Bruins2Checkers1AWBoxScore
15 - 2024-11-01116Wolves2Bruins1BLBoxScore
18 - 2024-11-04134Bruins5Penguins6ALXXBoxScore
20 - 2024-11-06149Bears1Bruins9BWBoxScore
24 - 2024-11-10171Bruins6Phantoms1AWBoxScore
25 - 2024-11-11180Bruins1Checkers0AWBoxScore
27 - 2024-11-13191Penguins0Bruins5BWBoxScore
30 - 2024-11-16210Wolf Pack4Bruins2BLBoxScore
33 - 2024-11-19235Phantoms2Bruins4BWBoxScore
36 - 2024-11-22247Bruins1Wolf Pack2ALBoxScore
38 - 2024-11-24265Bruins8Ice Hogs2AWBoxScore
39 - 2024-11-25275Phantoms2Bruins3BWBoxScore
42 - 2024-11-28296Bruins4Thunderbirds6ALBoxScore
44 - 2024-11-30308Bruins1Moose3ALBoxScore
45 - 2024-12-01318Condors2Bruins0BLBoxScore
47 - 2024-12-03339Eagles3Bruins2BLXBoxScore
49 - 2024-12-05357Bruins2Eagles3ALBoxScore
51 - 2024-12-07370Ice Hogs1Bruins3BWBoxScore
53 - 2024-12-09386Bruins0Rocket2ALBoxScore
55 - 2024-12-11395Bruins6Islanders0AWBoxScore
57 - 2024-12-13411Wranglers3Bruins2BLXXBoxScore
58 - 2024-12-14425Bruins4Condors2AWBoxScore
61 - 2024-12-17442Wolves3Bruins4BWXXBoxScore
63 - 2024-12-19452Bruins4 Americans5ALXXBoxScore
65 - 2024-12-21465Bruins0Silver Knights3ALBoxScore
66 - 2024-12-22477Rocket4Bruins2BLBoxScore
70 - 2024-12-26503Penguins0Bruins2BWBoxScore
72 - 2024-12-28524Bruins7Gulls1AWBoxScore
74 - 2024-12-30534Barracuda2Bruins5BWBoxScore
76 - 2025-01-01549Bruins1Wolves3ALBoxScore
78 - 2025-01-03566Bruins9Firebirds4AWBoxScore
79 - 2025-01-04574Thunderbirds1Bruins0BLBoxScore
83 - 2025-01-08599Gulls1Bruins3BWBoxScore
85 - 2025-01-10608Bruins3Reign6ALBoxScore
87 - 2025-01-12628Bruins2Marlies5ALBoxScore
88 - 2025-01-13638Checkers1Bruins2BWBoxScore
92 - 2025-01-17658Bruins2Wolf Pack3ALBoxScore
94 - 2025-01-19667Silver Knights4Bruins3BLBoxScore
96 - 2025-01-21682Bruins4Wranglers5ALBoxScore
98 - 2025-01-23699Wild3Bruins2BLXBoxScore
100 - 2025-01-25716Bruins7Islanders2AWBoxScore
102 - 2025-01-27729Bruins4Admirals0AWBoxScore
103 - 2025-01-28735Roadrunners2Bruins1BLBoxScore
107 - 2025-02-01761Bruins6Bears0AWBoxScore
108 - 2025-02-02768 Americans3Bruins2BLBoxScore
111 - 2025-02-05793Firebirds3Bruins8BWBoxScore
113 - 2025-02-07804Bruins2Penguins3ALBoxScore
115 - 2025-02-09826Admirals0Bruins4BWBoxScore
117 - 2025-02-11839Bruins1Crunch3ALBoxScore
118 - 2025-02-12849Bruins3Checkers4ALBoxScore
120 - 2025-02-14864Crunch2Bruins3BWBoxScore
123 - 2025-02-17886Bruins4Canucks5ALXXBoxScore
125 - 2025-02-19895Bears3Bruins11BWBoxScore
127 - 2025-02-21916Bruins3Monsters1AWBoxScore
128 - 2025-02-22927Checkers2Bruins1BLBoxScore
132 - 2025-02-26954Comets5Bruins4BLXXBoxScore
135 - 2025-03-01972Bruins1Griffins2ALXXBoxScore
137 - 2025-03-03984Bruins0Barracuda6ALBoxScore
138 - 2025-03-04992Canucks3Bruins2BLBoxScore
141 - 2025-03-071008Bruins0Wild3ALBoxScore
143 - 2025-03-091021Griffins2Bruins1BLBoxScore
147 - 2025-03-131052Bruins4Stars1AWBoxScore
148 - 2025-03-141058Moose7Bruins5BLBoxScore
151 - 2025-03-171083Senators2Bruins3BWBoxScore
153 - 2025-03-191097Bruins3Phantoms4ALXXBoxScore
155 - 2025-03-211117Reign3Bruins2BLBoxScore
158 - 2025-03-241143Wolf Pack4Bruins3BLBoxScore
161 - 2025-03-271166Bruins3Senators7ALBoxScore
163 - 2025-03-291177Stars0Bruins7BWBoxScore
166 - 2025-04-011200Bruins2Wolves0AWBoxScore
168 - 2025-04-031213Islanders2Bruins9BWBoxScore
171 - 2025-04-061235Marlies4Bruins5BWBoxScore
173 - 2025-04-081246Bruins1Comets3ALBoxScore
177 - 2025-04-121270Monsters1Bruins2BWBoxScore
179 - 2025-04-141282Bruins7Roadrunners1AWBoxScore
183 - 2025-04-181301Islanders1Bruins7BWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price1000
Attendance37,00138,439
Attendance PCT45.12%93.75%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 1840 - 61.33% 90,246$3,700,100$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,580,188$ 2,055,833$ 2,055,833$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,053$ 1,880,210$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,816$ 0$




Bruins 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
1Marian Studenic154111681791038528922260118.47%50260516.9220163692011115257.78131.3712
2Nathan Walker15483881719117745518653315.57%25254916.5517183585101511151.6741.34511
3Pavol Regenda15460991598715623312139115.35%44257616.7317254211400008463.1611.2300
4Oliver Wahlstrom1105390143668221715334915.19%11191117.38931405411256046.8111.5001
5Filip Roos15425881138410622810218413.59%149322620.95112132970333420.00%00.7000

Bruins Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaxson Stauber99483970.8772.60554461024019520810.57919
2Joseph Woll4635740.9081.582774010737950000.58312
3Arvid Soderblom134450.8962.2677021292800000.7504

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
Regular Season
2023725116002123661422243626800011188771113625800201178651131083666371003013149117994229774374880218131940257914572865318.53%2674583.15%2959192449.84%630154640.75%560110550.68%229317971280391766435
2024823635003172902226841201500312153100534116200000513712215842904987881912491743212773969667835176950199417503456819.71%4117382.24%3804206738.90%656211930.96%465121638.24%216015951885529922474
Total Regular Season154875100529656364292774623003233411771647741280020631518712819265611351791122273208173744241482144414805330889031573320763112119.18%67811882.60%51763399144.17%1286366535.09%1025232144.16%4453339331659211689909
Playoff
20211046000003233-1523000001819-152300000141408325890001431502378467833215591301816369.52%581475.86%013626651.13%13127447.81%6215938.99%2551792317412363
Total Playoff1046000003233-1523000001819-152300000141408325890001431502378467833215591301816369.52%581475.86%013626651.13%13127447.81%6215938.99%2551792317412363

Bruins 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
1Marian Studenic101910561614185.56%017417.44044400000050.0001.1500
2Devante Stephens100997167670.00%1017417.4901160000000.00%01.0300
3Drew O'Connor10729523252825.00%118518.54202800002060.0000.9700
4Nathan Walker103585615132412.50%214514.58000000001044.4401.1000
5Lane Pederson10358529271520.00%018718.76000200000162.3600.8500

Bruins Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Matthew Villalta104500.8413.4454100311950000.00%0
2Alexei Melnichuk20010.9001.7469002200100.00%0