Please rotate your device to landscape mode for a better experience.
Login

Bruins
GP: 54 | W: 13 | L: 33 | OTL: 8 | P: 34
GF: 178 | GA: 263 | PP%: 25.69% | PK%: 74.48%
GM : Jim Tegelaar | Morale : 11 | Team Overall : 59
Next Games #589 vs Fighting Pandas

Game Center
Bruins
13-33-8, 34pts
4
FINAL
6 Marlies
36-15-3, 75pts
Team Stats
L2StreakL1
5-17-4Home Record18-6-2
8-16-4Home Record18-9-1
1-7-2Last 10 Games8-2-0
3.30Goals Per Game4.37
4.87Goals Against Per Game3.20
25.69%Power Play Percentage26.72%
74.48%Penalty Kill Percentage75.94%
Bruins
13-33-8, 34pts
1
FINAL
7 Butter Knives
24-23-4, 52pts
Team Stats
L2StreakW1
5-17-4Home Record14-10-3
8-16-4Home Record10-13-1
1-7-2Last 10 Games7-3-0
3.30Goals Per Game4.61
4.87Goals Against Per Game4.80
25.69%Power Play Percentage20.59%
74.48%Penalty Kill Percentage74.19%
Bruins
13-33-8, 34pts
Day 116
Fighting Pandas
30-17-7, 67pts
Team Stats
L2StreakSOW1
5-17-4Home Record12-8-6
8-16-4Away Record18-9-1
1-7-2Last 10 Games7-3-0
3.30Goals Per Game4.28
4.87Goals Against Per Game4.28
25.69%Power Play Percentage23.53%
74.48%Penalty Kill Percentage80.30%
Firebirds
20-32-2, 42pts
Day 118
Bruins
13-33-8, 34pts
Team Stats
L2StreakL2
11-14-1Home Record5-17-4
9-18-1Away Record8-16-4
0-9-1Last 10 Games1-7-2
4.00Goals Per Game3.30
4.63Goals Against Per Game3.30
19.35%Power Play Percentage25.69%
76.07%Penalty Kill Percentage74.48%
Bruins
13-33-8, 34pts
Day 119
Lynx
31-19-1, 63pts
Team Stats
L2StreakL1
5-17-4Home Record15-11-1
8-16-4Away Record16-8-0
1-7-2Last 10 Games5-5-0
3.30Goals Per Game4.00
4.87Goals Against Per Game4.00
25.69%Power Play Percentage31.82%
74.48%Penalty Kill Percentage85.19%
Team Leaders
Paul CotterGoals
Paul Cotter
24
William CarrierAssists
William Carrier
33
Paul CotterPoints
Paul Cotter
56
Donovan SebrangoPlus/Minus
Donovan Sebrango
-2
Yaroslav AskarovWins
Yaroslav Askarov
11
Victor OstmanSave Percentage
Victor Ostman
0.893

Team Stats
Goals For
178
3.30 GFG
Shots For
1667
30.87 Avg
Power Play Percentage
25.7%
28 GF
Offensive Zone Start
37.7%
Goals Against
263
4.87 GAA
Shots Against
2129
39.43 Avg
Penalty Kill Percentage
74.5%%
37 GA
Defensive Zone Start
41.3%
Team Info

General ManagerJim Tegelaar
CoachRyan Mougenel
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1Nathan Walker
Assistant #2Nick Cousins


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team23
Farm Team19
Contract Limit42 / 50
Prospects31


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
1Zack Bolduc (R)XX100.00745984756672837150667265555560075650222500,000$
2Bobby BrinkX100.00695586726076907250736357626064025640244500,000$
3Paul CotterXXX100.00856174677672897066627057826365030640263500,000$
4Jordan GreenwayXX100.008468726384746162506257745067710406302822,000,000$
5Nathan Walker (A)XX100.00876581656570846366616064527473026630311500,000$
6Nick Cousins (A)XX100.00766366676670687050666158507572024620321500,000$
7William CarrierXX100.00895881667969646950665860507270021620313750,000$
8Jansen HarkinsXXX100.00796187657168756569605267506970025610281500,000$
9Jakub LaukoXXX100.00786981656967716450625563506263028600253500,000$
10Mikael Pyyhtia (R)XX100.00605493656370666050595669506165022590241500,000$
11Nikita Nesterenko (R)XXX100.00725594617060546550546055515861064570241500,000$
12Jonas RondbjergXX100.00505089567359525050505058506263022530262500,000$
13Uvis BalinskisX100.00716385667067877050645466557170040650291500,000$
14Lian Bichsel (R)X100.00906855618565636650586068565761035630213500,000$
15Hampus LindholmX100.005359876281585865505860705674760236203233,000,000$
16Victor Mancini (R)X100.00745983648366606850635165566063029620231500,000$
17Donovan SebrangoX100.00493595588050514950495050556063024530241500,000$
Scratches
1Matthew PoitrasXX100.00565587636370606161675059505458064570212500,000$
2Cam Lund (R)XXX100.00505781527052535750505050515659020510213500,000$
3Jimmy Snuggerud (R)XX100.00505089516658535350555050525359022510213500,000$
TEAM AVERAGE100.0070588363726667645360576154636503360
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
1Victor Ostman (R)100.0067606677505750505050506163012570253500,000$
2Yaroslav Askarov (R)100.0065666670595553535150635860010570231500,000$
Scratches
1Trent Miner (R)100.0050615970505050505050505858023530243500,000$
TEAM AVERAGE100.006162647253545151505054596001556
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Mougenel8080958075751CAN495500,000$


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
1Paul CotterBruins (BOS)C/LW/RW54243256-15260921682075215611.59%12129624.017815238601111232258.98%166500000.8616000343
2William CarrierBruins (BOS)LW/RW54193352-253601071031754014510.86%10133324.702249271013521048.21%19500000.7802000541
3Nick CousinsBruins (BOS)C/LW54222648-382601101471834616012.02%13123622.91551023782025841048.84%138200010.7800000312
4Jordan GreenwayBruins (BOS)LW/RW45212344-1118084871704510712.35%41104123.14257167700021101252.31%6500000.8504000444
5Nathan WalkerBruins (BOS)LW/RW54192342-32275122601613711711.80%11110320.4426817780111700055.06%8900000.7603001323
6Jansen HarkinsBruins (BOS)C/LW/RW54172037-36406196177491069.60%22109520.2914517690000241059.76%66600000.6800000452
7Uvis BalinskisBruins (BOS)D4792837-362801105265144213.85%89107322.842462474000282110%100000.6900000223
8Bobby BrinkBruins (BOS)RW54102232-2160204411037849.09%1071113.17110111591000010039.47%3800000.9006000203
9Victor ManciniBruins (BOS)D4842731-73801254833112312.12%6288918.520007150000340070.00%1000000.7012000422
10Mikael PyyhtiaBruins (BOS)LW/RW54112031-3280265811628939.48%37118822.0100025000021145.07%7100000.5200000021
11Jakub LaukoBruins (BOS)C/LW/RW5481826-3315551739936818.08%25110220.4100006000043148.10%42200000.4700100123
12Lian BichselBruins (BOS)D54101525-177151854763134615.87%76109620.3045911670000671071.43%1400000.4600100212
13Donovan SebrangoBruins (BOS)D48134-26013996211.11%4179016.470000700008010%100000.1000000001
14Hampus LindholmBruins (BOS)D13123-500091071910.00%1726120.09101417000023000%000000.2300000001
15Luke EvangelistaBoston BruinsLW/RW3000-6000414340%36220.8600018000020075.00%40000000000000
Team Total or Average690176292468-31630915110610051592424118511.06%4691428320.702749761697103251469412854.12%462300010.66223201332931
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
1Yaroslav AskarovBruins (BOS)43112340.8705.0120850017413390000.60010409032
2Victor OstmanBruins (BOS)2421030.8934.32113820827660010.727111445221
Team Total or Average67133370.8784.763224202562105001215454253


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
Bobby BrinkBruins (BOS)RW242001-07-08USANo169 Lbs5 ft8NoNoFree AgentNoNo42025-07-24FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Cam LundBruins (BOS)C/LW/RW212004-06-07USAYes195 Lbs6 ft2NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Donovan SebrangoBruins (BOS)D242002-01-12CANNo221 Lbs6 ft2NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Hampus LindholmBruins (BOS)D321994-01-20SWENo224 Lbs6 ft4NoNoN/ANoNo32024-08-20FalseFalsePro & Farm3,000,000$300,000$110,000$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Link / NHL Link
Jakub LaukoBruins (BOS)C/LW/RW252000-03-28CZENo193 Lbs6 ft1NoNoN/ANoNo32024-08-15FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Jansen HarkinsBruins (BOS)C/LW/RW281997-05-23USANo199 Lbs6 ft1NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Link / NHL Link
Jimmy SnuggerudBruins (BOS)LW/RW212004-06-01USAYes186 Lbs6 ft1NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Jonas RondbjergBruins (BOS)LW/RW261999-03-31DNKNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Jordan GreenwayBruins (BOS)LW/RW281997-02-16USANo231 Lbs6 ft6NoNoN/ANoNo22024-08-20FalseFalsePro & Farm2,000,000$200,000$73,333$No2,000,000$--------2,000,000$--------No--------Link / NHL Link
Lian BichselBruins (BOS)D212004-05-18CHEYes231 Lbs6 ft7NoNoFree AgentNoNo32025-08-03FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Matthew PoitrasBruins (BOS)C/RW212004-03-10CANNo180 Lbs5 ft11NoNoTrade2025-07-03NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Mikael PyyhtiaBruins (BOS)LW/RW242001-12-17FINYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Nathan WalkerBruins (BOS)LW/RW311994-02-07GBRNo187 Lbs5 ft9NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Link / NHL Link
Nick CousinsBruins (BOS)C/LW321993-07-20CANNo186 Lbs5 ft11NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Link / NHL Link
Nikita NesterenkoBruins (BOS)C/LW/RW242001-09-10USAYes195 Lbs6 ft2NoNoFree AgentNoNo12025-07-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Paul CotterBruins (BOS)C/LW/RW261999-11-16USANo213 Lbs6 ft2NoNoN/ANoNo32024-08-15FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Trent MinerBruins (BOS)G242001-02-05CANYes185 Lbs6 ft1NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Uvis BalinskisBruins (BOS)D291996-08-01LVANo196 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Victor ManciniBruins (BOS)D232002-05-26USAYes229 Lbs6 ft3NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Victor OstmanBruins (BOS)G252000-10-03SWEYes205 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
William CarrierBruins (BOS)LW/RW311994-12-20CANNo220 Lbs6 ft2NoNoTrade2025-08-07NoNo32024-08-20FalseFalsePro & Farm750,000$75,000$27,500$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Yaroslav AskarovBruins (BOS)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Zack BolducBruins (BOS)LW/RW222003-02-24CANYes187 Lbs6 ft0NoNoFree AgentNoNo22025-07-24FalseFalsePro & Farm500,000$500,000$183,333$No500,000$--------500,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.43200 Lbs6 ft12.09684,783$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zack BolducPaul CotterBobby Brink40122
2Jordan GreenwayNick CousinsWilliam Carrier30122
3Nathan WalkerJansen HarkinsNikita Nesterenko20122
4William CarrierJakub LaukoJonas Rondbjerg10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis BalinskisLian Bichsel40122
2Hampus LindholmVictor Mancini30122
3Donovan SebrangoHampus Lindholm20122
4Victor ManciniUvis Balinskis10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zack BolducPaul CotterBobby Brink60122
2Jordan GreenwayNick CousinsNathan Walker40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis BalinskisLian Bichsel60122
2Hampus LindholmVictor Mancini40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Paul CotterZack Bolduc60122
2Nick CousinsJordan Greenway40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis BalinskisLian Bichsel60122
2Hampus LindholmVictor Mancini40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Paul Cotter60122Uvis BalinskisLian Bichsel60122
2Nick Cousins40122Hampus LindholmVictor Mancini40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Paul CotterZack Bolduc60122
2Nick CousinsJordan Greenway40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis BalinskisLian Bichsel60122
2Hampus LindholmVictor Mancini40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zack BolducPaul CotterWilliam CarrierUvis BalinskisLian Bichsel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zack BolducPaul CotterJordan GreenwayUvis BalinskisLian Bichsel
Extra Forwards
Normal PowerPlayPenalty Kill
Nathan Walker, William Carrier, Nick CousinsNathan Walker, William CarrierNathan Walker
Extra Defensemen
Normal PowerPlayPenalty Kill
Hampus Lindholm, Victor Mancini, Donovan SebrangoHampus LindholmHampus Lindholm, Victor Mancini
Penalty Shots
Zack Bolduc, Paul Cotter, Bobby Brink, Jordan Greenway, Nathan Walker
Goalie
#1 : Victor Ostman, #2 : Yaroslav Askarov


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
1Aces1010000023-1000000000001010000023-100.00024600645459214539535572442014214000%10100.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
2Admirals21100000761211000007610000000000020.5007111800645459246539535572444818446400.00%10100.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
3Americiens833000023136-530300000815-7530000022321280.50031609100645459228953953557244363984717816531.25%20385.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
4Barons2110000069-3110000005321010000016-520.5006101600645459265539535572445291640000%8275.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
5Barracuda1010000012-1000000000001010000012-100.0001230064545922853953557244358418100.00%20100.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
6Broncos2010000169-31000000145-11010000024-210.250610160064545925953953557244551716435240.00%7271.43%0928172753.73%1036189054.81%54396356.39%13539581230368691352
7Butter Knives512000111724-72110000078-1301000111016-650.50017254200645459220353953557244238522813812325.00%12375.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
8Canucks20200000316-1310100000210-81010000016-500.000358006454592385395355724484151844000%9633.33%0928172753.73%1036189054.81%54396356.39%13539581230368691352
9Fighting Pandas30200100813-51000010045-12020000048-410.167815230064545929253953557244962025571218.33%8275.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
10Firebirds532000002020021100000910-1321000001110160.6002031510064545921395395355724421358451088337.50%19384.21%1928172753.73%1036189054.81%54396356.39%13539581230368691352
11Griffins1010000057-21010000057-20000000000000.0005101510645459235539535572444382224250.00%10100.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
12Lions20200000813-51010000037-41010000056-100.000814220064545925353953557244118231849400.00%80100.00%1928172753.73%1036189054.81%54396356.39%13539581230368691352
13Lynx413000001318-530300000714-71100000064220.250132437006454592108539535572441102328797228.57%14657.14%0928172753.73%1036189054.81%54396356.39%13539581230368691352
14Marlies411002001416-21000010023-1311001001213-140.500142539006454592105539535572441214928788337.50%12283.33%1928172753.73%1036189054.81%54396356.39%13539581230368691352
15Nordiks413000001926-721100000911-2202000001015-520.2501934530064545921605395355724420055189810550.00%8362.50%0928172753.73%1036189054.81%54396356.39%13539581230368691352
16Quacken1010000014-31010000014-30000000000000.00012300645459227539535572443314016100.00%000%0928172753.73%1036189054.81%54396356.39%13539581230368691352
17Roadrunners2010000157-22010000157-20000000000010.250510150064545924653953557244671816524125.00%7185.71%0928172753.73%1036189054.81%54396356.39%13539581230368691352
18Tomahawks20200000514-91010000038-51010000026-400.000571200645459269539535572441042512413133.33%6350.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
19Wombats1010000026-4000000000001010000026-400.0002350064545923053953557244407024200.00%000%0928172753.73%1036189054.81%54396356.39%13539581230368691352
20Wranglers20200000514-91010000028-61010000036-300.000591400645459261539535572448929443800.00%2150.00%0928172753.73%1036189054.81%54396356.39%13539581230368691352
Total54123300315178263-85265170020283131-48287160011395132-37340.315178311489106454592166753953557244212956033111881092825.69%1453774.48%3928172753.73%1036189054.81%54396356.39%13539581230368691352
_Since Last GM Reset54123300315178263-85265170020283131-48287160011395132-37340.315178311489106454592166753953557244212956033111881092825.69%1453774.48%3928172753.73%1036189054.81%54396356.39%13539581230368691352
_Vs Conference36101700315123155-3217310002025373-201977001137082-12300.4171232143370064545921117539535572441351360237803782025.64%1002278.00%2928172753.73%1036189054.81%54396356.39%13539581230368691352
_Vs Division246110031383107-241017002002845-171454001135562-7200.4178314923200645459279753953557244928242156530551425.45%661675.76%1928172753.73%1036189054.81%54396356.39%13539581230368691352

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5434L217831148916672129560331118810
All Games
GPWLOTWOTL SOWSOLGFGA
5412330315178263
Home Games
GPWLOTWOTL SOWSOLGFGA
26517020283131
Visitor Games
GPWLOTWOTL SOWSOLGFGA
28716011395132
Last 10 Games
WLOTWOTL SOWSOL
170002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1092825.69%1453774.48%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
539535572446454592
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
928172753.73%1036189054.81%54396356.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13539581230368691352


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
12Bruins4Americiens3WBoxScore
416Butter Knives5Bruins6WBoxScore
621Bruins4Marlies2WBoxScore
833Bruins4Firebirds6LBoxScore
1043Firebirds6Bruins3LBoxScore
1254Bruins4Fighting Pandas5LBoxScore
1464Americiens3Bruins2LBoxScore
1571Bruins4Americiens5LXXBoxScore
1884Fighting Pandas5Bruins4LXBoxScore
21103Admirals2Bruins4WBoxScore
24114Lynx6Bruins2LBoxScore
26122Bruins5Americiens3WBoxScore
29140Marlies3Bruins2LXBoxScore
31151Bruins6Lynx4WBoxScore
33158Bruins5Butter Knives6LXXBoxScore
35168Bruins5Nordiks6LBoxScore
36173Americiens7Bruins2LBoxScore
39187Nordiks5Bruins6WBoxScore
44207Roadrunners4Bruins3LXXBoxScore
47224Quacken4Bruins1LBoxScore
49235Bruins3Firebirds1WBoxScore
50245Tomahawks8Bruins3LBoxScore
53259Bruins2Aces3LBoxScore
54267Lynx5Bruins3LBoxScore
55270Bruins2Broncos4LBoxScore
58286Bruins4Butter Knives3WXXBoxScore
60297Griffins7Bruins5LBoxScore
62308Bruins1Canucks6LBoxScore
65319Canucks10Bruins2LBoxScore
67333Lynx3Bruins2LBoxScore
70349Bruins1Barons6LBoxScore
72356Firebirds4Bruins6WBoxScore
74368Bruins1Barracuda2LBoxScore
76377Wranglers8Bruins2LBoxScore
77386Bruins3Wranglers6LBoxScore
79396Bruins6Americiens5WBoxScore
81403Admirals4Bruins3LBoxScore
83416Bruins5Nordiks9LBoxScore
85426Lions7Bruins3LBoxScore
86436Bruins5Lions6LBoxScore
89443Bruins2Wombats6LBoxScore
91454Roadrunners3Bruins2LBoxScore
93462Bruins4Marlies5LXBoxScore
95470Barons3Bruins5WBoxScore
97484Bruins4Americiens5LXXBoxScore
99494Butter Knives3Bruins1LBoxScore
100501Bruins0Fighting Pandas3LBoxScore
103516Nordiks6Bruins3LBoxScore
105525Bruins4Firebirds3WBoxScore
107537Americiens5Bruins4LBoxScore
108547Bruins2Tomahawks6LBoxScore
111558Broncos5Bruins4LXXBoxScore
112566Bruins4Marlies6LBoxScore
113575Bruins1Butter Knives7LBoxScore
116589Bruins-Fighting Pandas-
118593Firebirds-Bruins-
119599Bruins-Lynx-
121615Wombats-Bruins-
123624Bruins-Ice Bats-
125635Wombats-Bruins-
127647Bruins-Lynx-
129654Bruins-Griffins-
130659Ice Bats-Bruins-
133675Bruins-Roadrunners-
134682Butter Knives-Bruins-
138702Barracuda-Bruins-
140711Bruins-Admirals-
142722Broncos-Bruins-
144729Bruins-Wombats-
146741Bruins-Roadrunners-
147748Fighting Pandas-Bruins-
149763Bruins-Broncos-
150769Tomahawks-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
155789Admirals-Bruins-
156796Bruins-Quacken-
159810Lions-Bruins-
160817Bruins-Quacken-
164834Fighting Pandas-Bruins-
168853Marlies-Bruins-
172872Aces-Bruins-
176889Marlies-Bruins-
178895Bruins-Admirals-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,262,791$ 2,025,000$ 1,875,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,875,000$ 851,137$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 66 14,028$ 925,848$




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