Bruins

GP: 64 | W: 40 | L: 23 | OTL: 1 | P: 81
GF: 187 | GA: 120 | PP%: 17.58% | PK%: 87.50%
GM : Steve Gagné | Morale : 50 | Team Overall : 62
Next Games #1034 vs Senators

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Carter CamperX100.005443866165868359686457615980725350620
2Frederick GaudreauXXX100.005839826370777562676159646273675850620
3Phillip Di GiuseppeXX100.006539866173787162566060596273676450610
4Joel KellmanXX100.006439886271736859726158635871675250610
5Zac RinaldoXXX100.006770746169737662666159605778714950610
6Liam O'BrienX100.006765745980889158545756605971665950610
7Sam MileticX100.006043906374868462596157596265635850610
8Zach SenyshynXX100.006142896176777262535960586265668350600
9Connor BunnamanXXX100.006343876079787758565759615863626150600
10Jack KopackaX100.006542855880838157545656595863626150600
11Yannick VeilleuxX100.006452815879807857525559565873675250590
12Michael StoneX100.007242836485816763306954725078695350670
13Jani HakanpaaX100.007347896293837159305856634675685150650
14Joe MorrowX100.006645846374777562306058665375686750640
15Brogan RaffertyX100.006143896473868863306654574869655650630
16Nate ProsserX100.006346886081747158305756595384745150620
17William BorgenX100.006451865983857558305756605367646150620
18Jimmy SchuldtX100.006251826075858458305754564769656150610
19Alexander YelesinX100.006643895873776957305656594867645250600
Scratches
1Curtis McKenzieXXX100.006759806281888960636158646277695450630
2Steven LorentzX100.007152856088837961565958626067646150620
3Joakim NygardXXX100.005639896270686359536158565973673850590
4Cameron HughesXXX100.005541856164797660535859576167645450590
5Luke PhilpX100.005442856059858458645561535969656250590
6Michael CarconeX100.005852826063878858565759545867646150590
7Spencer SmallmanX100.006345846077757361555952586167635250590
8Giovanni FioreX100.006343875875787956515257545867646150580
9Jalen ChatfieldX100.006042885675807954305350554667646150590
10Luke GreenX100.006042865775737656305254584563647150590
TEAM AVERAGE100.00634685607580775949595759567066585061
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Christopher Gibson100.00756765827473757473757475816050720
2Artyom Zagidulin100.00727977767170727170727169735950700
3Kevin Poulin100.00695654826867696867696878845550680
Scratches
1Callum Booth100.00715654837069717069717065696250670
TEAM AVERAGE100.0072656381717072717072717277595069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug Weight70667472746976USA492100,000$


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
1Carter CamperBruins (Bos)C6413304321120341191272911810.24%8128820.13612183626101152173058.85%123700000.6713000244
2Joe MorrowBruins (Bos)D64172542146008263104198616.35%52132620.7281220632620002272210.00%000010.6300000313
3Frederick GaudreauBruins (Bos)C/LW/RW6419224111160471431716611711.11%15140421.94410144226510152732062.06%121500000.5823000532
4Jani HakanpaaBruins (Bos)D64112233988010244102305010.78%66150823.5791019742740000264410.00%000010.4400000232
5Brogan RaffertyBruins (Bos)D64426301356059447925495.06%41125619.6321214602290001234010.00%000000.4800000113
6Michael StoneBruins (Bos)D30623297515394444274813.64%3267822.6061218381330001125100.00%000000.8600000022
7Zac RinaldoBruins (Bos)C/LW/RW64161228161274510784141358811.35%11112017.5085134426300031112154.46%11200000.5000621013
8Steven LorentzBruins (Bos)LW47131528104158766102296812.75%10106022.5658132819800052315051.89%26400000.5313001333
9Joel KellmanBruins (Bos)C/LW64151025201803259111295713.51%570010.95011450000442359.50%35800000.7100000344
10Connor BunnamanBruins (Bos)C/LW/RW6411132417280553387315912.64%66389.981341176000001054.29%3500000.7500000222
11Liam O'BrienBruins (Bos)LW64101323177830944010129739.90%491314.27156151110001590048.19%8300000.5000213111
12Sam MileticBruins (Bos)LW6471623624034387718569.09%46309.8623511740001644156.25%4800000.7300000211
13William BorgenBruins (Bos)D646162227540753740112215.00%4386313.492021551000056300.00%000000.5100000212
14Nate ProsserBruins (Bos)D64114152528055342615193.85%3678912.3300003000083000.00%000000.3800000011
15Zach SenyshynBruins (Bos)LW/RW25371078018144613326.52%127911.1900001000000164.29%1400000.7200000100
16Ryan CarpenterBoston BruinsC/LW/RW10191028017344010252.50%325125.1403310420001310061.48%13500000.8001000100
17Curtis McKenzieBruins (Bos)C/LW/RW20369-3591531503622258.33%444522.25224118000021031058.63%59700000.4001111100
18Phillip Di GiuseppeBruins (Bos)C/LW64358-2160152828103010.71%32964.64000070000220052.11%26100000.5400000010
19Jimmy SchuldtBruins (Bos)D6416772403510101810.00%204226.5900007011051100.00%000000.3300000001
20Slater KoekkoekBoston BruinsD712341402013113109.09%916022.90000627000028000.00%000000.3700000011
21Jack KopackaBruins (Bos)LW25202-3807491722.22%0823.2900001000071050.00%200000.4900000000
22Alexander YelesinBruins (Bos)D25011-3001374120.00%111295.160000100004000.00%000000.1600000000
23Yannick VeilleuxBruins (Bos)LW25000-200202220.00%0311.2600018000090030.77%1300000.0000000000
Team Total or Average1110163293456220818100106010081498456105110.88%3841627514.665698154469239112327229832958.57%437400020.56411946293035
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
1Christopher GibsonBruins (Bos)61392110.9191.82363510811013540310.91712610461
2Artyom ZagidulinBruins (Bos)58302620.8962.3534022313312830100.70010586301
3Kevin PoulinBruins (Bos)10000.9411.5838001170000.0000061000
Team Total or Average120694730.9082.077076121124426540410.8182211967762


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexander YelesinD241996-02-07No195 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Artyom ZagidulinG251995-08-08No180 Lbs6 ft2NoNoNo4RFAPro & Farm900,000$0$0$NoLink / NHL Link
Brogan RaffertyD251995-05-28No195 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Callum BoothG231997-05-21No184 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cameron HughesC/LW/RW241996-10-09No160 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Carter CamperC321988-07-06No176 Lbs5 ft9NoNoNo2UFAPro & Farm311,002$0$0$NoLink / NHL Link
Christopher GibsonG281992-12-27No207 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Connor BunnamanC/LW/RW221998-04-16No207 Lbs6 ft1NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Curtis McKenzieC/LW/RW291991-02-22No205 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Frederick GaudreauC/LW/RW271993-05-01No179 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Giovanni FioreLW241996-08-13No188 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jack KopackaLW221998-03-05No197 Lbs6 ft2NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Jalen ChatfieldD241996-05-16No188 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jani HakanpaaD281992-03-31No218 Lbs6 ft5NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jimmy SchuldtD251995-05-11No203 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joakim NygardC/LW/RW281993-01-08No179 Lbs6 ft0NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Joe MorrowD281992-12-09No196 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Joel KellmanC/LW261994-05-25No192 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kevin PoulinG301990-04-12No206 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Liam O'BrienLW261994-07-29No213 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Luke GreenD231998-01-12No188 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Luke PhilpC251995-11-06No181 Lbs5 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael CarconeLW241996-05-19No170 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael StoneD301990-06-07No210 Lbs6 ft3NoNoNo1UFAPro & Farm1,111,111$0$0$NoLink / NHL Link
Nate ProsserD341986-05-07No201 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Phillip Di GiuseppeC/LW271993-10-09No193 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Sam MileticLW231997-05-04No197 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Spencer SmallmanRW241996-09-09No198 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Steven LorentzLW241996-04-13No206 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
William BorgenD241996-12-19No198 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Yannick VeilleuxLW271993-02-22No195 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Zac RinaldoC/LW/RW301990-06-15No192 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Zach SenyshynLW/RW231997-03-30No192 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3326.00194 Lbs6 ft12.67385,519$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zac RinaldoFrederick Gaudreau40122
2Sam MileticCarter CamperConnor Bunnaman30122
3Liam O'BrienJoel KellmanZach Senyshyn20122
4Jack KopackaPhillip Di GiuseppeFrederick Gaudreau10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneJani Hakanpaa40122
2Joe MorrowBrogan Rafferty30122
3William BorgenNate Prosser20122
4Jimmy SchuldtAlexander Yelesin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zac RinaldoFrederick Gaudreau60122
2Sam MileticCarter CamperConnor Bunnaman40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneJani Hakanpaa60122
2Joe MorrowBrogan Rafferty40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Frederick GaudreauCarter Camper60122
2Zac RinaldoSam Miletic40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneJani Hakanpaa60122
2Joe MorrowBrogan Rafferty40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Frederick Gaudreau60122Michael StoneJani Hakanpaa60122
2Carter Camper40122Joe MorrowBrogan Rafferty40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Frederick GaudreauCarter Camper60122
2Zac RinaldoSam Miletic40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael StoneJani Hakanpaa60122
2Joe MorrowBrogan Rafferty40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zac RinaldoFrederick GaudreauMichael StoneJani Hakanpaa
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zac RinaldoFrederick GaudreauMichael StoneJani Hakanpaa
Extra Forwards
Normal PowerPlayPenalty Kill
Yannick Veilleux, Joel Kellman, Liam O'BrienYannick Veilleux, Joel KellmanLiam O'Brien
Extra Defensemen
Normal PowerPlayPenalty Kill
William Borgen, Nate Prosser, Jimmy SchuldtWilliam BorgenNate Prosser, Jimmy Schuldt
Penalty Shots
Frederick Gaudreau, Carter Camper, Zac Rinaldo, Sam Miletic,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6481W118733251917401439443924120318
All Games
GPWLOTWOTL SOWSOLGFGA
6435231140187120
Home Games
GPWLOTWOTL SOWSOLGFGA
331910112010056
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31161300208764
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3305817.58%3684687.50%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
569567597186963506
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1240201961.42%1067185157.64%50589456.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
171312251376443770405


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 - 2020-10-183Admirals1Bruins0LBoxScore
4 - 2020-10-2129Bruins3Devils2WBoxScore
5 - 2020-10-2244Phantoms1Bruins2WXXBoxScore
7 - 2020-10-2461Bruins0Wolf Pack1LBoxScore
8 - 2020-10-2577Moose0Bruins4WBoxScore
10 - 2020-10-2794Admirals3Bruins1LBoxScore
12 - 2020-10-29108Bruins1Roadrunners2LBoxScore
14 - 2020-10-31127Bruins7Condors3WBoxScore
15 - 2020-11-01139Senators3Bruins1LBoxScore
19 - 2020-11-05158Bruins6Gulls1WBoxScore
20 - 2020-11-06169Barracuda3Bruins6WBoxScore
22 - 2020-11-08189Bruins0Rampage3LBoxScore
25 - 2020-11-11202Penguins0Bruins1WBoxScore
27 - 2020-11-13214Bruins2Crunch3LBoxScore
29 - 2020-11-15229Wolf Pack3Bruins2LBoxScore
32 - 2020-11-18252Bears3Bruins2LBoxScore
34 - 2020-11-20273Bruins4Marlies1WBoxScore
36 - 2020-11-22284Checkers2Bruins1LXBoxScore
38 - 2020-11-24297Bruins2Phantoms5LBoxScore
39 - 2020-11-25314Penguins2Bruins1LBoxScore
44 - 2020-11-30342Barracuda1Bruins2WBoxScore
46 - 2020-12-02359Bruins5Moose0WBoxScore
47 - 2020-12-03370Bruins2Americans1WXXBoxScore
48 - 2020-12-04382IceHogs1Bruins7WBoxScore
53 - 2020-12-09404Moose1Bruins6WBoxScore
55 - 2020-12-11419Bruins3Checkers2WBoxScore
57 - 2020-12-13436Roadrunners1Bruins4WBoxScore
58 - 2020-12-14450Bruins2Comets3LBoxScore
59 - 2020-12-15466Admirals2Bruins4WBoxScore
63 - 2020-12-19490Bruins2Rocket1WXXBoxScore
64 - 2020-12-20500Phantoms3Bruins4WXBoxScore
66 - 2020-12-22522Bruins3Checkers1WBoxScore
67 - 2020-12-23531Monsters3Bruins4WBoxScore
72 - 2020-12-28559Comets4Bruins2LBoxScore
76 - 2021-01-01582Bruins3Penguins2WBoxScore
77 - 2021-01-02591Condors1Bruins5WBoxScore
81 - 2021-01-06620Bruins0Wolf Pack4LBoxScore
82 - 2021-01-07628Devils3Bruins0LBoxScore
86 - 2021-01-11652Crunch2Bruins4WBoxScore
90 - 2021-01-15680Bruins3Crunch2WBoxScore
92 - 2021-01-17688Reign1Bruins5WBoxScore
94 - 2021-01-19693Bruins5Gulls2WBoxScore
95 - 2021-01-20712Gulls1Bruins3WBoxScore
97 - 2021-01-22731Bruins7Reign0WBoxScore
100 - 2021-01-25745Reign0Bruins6WBoxScore
102 - 2021-01-27768Bruins0Admirals3LBoxScore
104 - 2021-01-29774Bruins5Devils1WBoxScore
105 - 2021-01-30784Griffins0Bruins4WBoxScore
107 - 2021-02-01807Thunderbirds0Bruins2WBoxScore
109 - 2021-02-03821Bruins5Bears2WBoxScore
112 - 2021-02-06838Wolves3Bruins4WXXBoxScore
114 - 2021-02-08844Bruins4Thunderbirds1WBoxScore
117 - 2021-02-11866Heat2Bruins1LBoxScore
118 - 2021-02-12871Bruins1Heat3LBoxScore
120 - 2021-02-14887Bruins0Stars2LBoxScore
122 - 2021-02-16900Americans0Bruins3WBoxScore
126 - 2021-02-20923Bruins2Senators3LBoxScore
127 - 2021-02-21934Rampage1Bruins3WBoxScore
129 - 2021-02-23950Bruins4Barracuda3WBoxScore
131 - 2021-02-25963Rampage1Bruins4WBoxScore
132 - 2021-02-26973Bruins2Roadrunners3LBoxScore
134 - 2021-02-28993Sound Tigers4Bruins2LBoxScore
135 - 2021-03-011009Bruins1Griffins2LBoxScore
138 - 2021-03-041025Bruins3Eagles2WBoxScore
139 - 2021-03-051034Senators-Bruins-
141 - 2021-03-071055Bruins-Condors-
143 - 2021-03-091060Phantoms-Bruins-
145 - 2021-03-111089Bears-Bruins-
146 - 2021-03-121092Bruins-Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2021-03-171118Rocket-Bruins-
153 - 2021-03-191128Bruins-Monsters-
155 - 2021-03-211140Bruins-Stars-
156 - 2021-03-221151Eagles-Bruins-
157 - 2021-03-231161Bruins-Monsters-
159 - 2021-03-251180Stars-Bruins-
160 - 2021-03-261186Bruins-Rampage-
165 - 2021-03-311211Marlies-Bruins-
166 - 2021-04-011220Bruins-IceHogs-
167 - 2021-04-021223Bruins-Sound Tigers-
168 - 2021-04-031232Bruins-Wild-
173 - 2021-04-081254Wild-Bruins-
175 - 2021-04-101265Bruins-Sound Tigers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance62,89631,445
Attendance PCT95.30%95.29%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
8 2859 - 95.29% 71,281$2,352,270$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
173,663$ 127,221$ 11,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 95,693$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
570,247$ 39 1,284$ 50,076$




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
12824323046332671907741239024121308842412014022211371023510926747874521501188260238208557867211706519130218234898417.18%5447785.85%51617269759.96%1249215957.85%693115959.79%227816261708560988530
13764817024322461431033825802120123675638239003121237647112246435681011098885520930685703681175150193416113865614.51%4025087.56%31278220457.99%1234223655.19%654107360.95%205114761650518903480
14764422025302151358038259012101106941381913013201056639103215380595011092694921480727659754162143771212473624211.60%2813687.19%51491253858.75%1162217353.47%551104752.63%202814611640530921484
1564352301140187120673319100112010056443116130002087642381187332519186963506174056956759718143944392412033305817.58%3684687.50%11240201961.42%1067185157.64%50589456.49%171312251376443770405
Total Regular Season298170850916135915588327150923606862463280183148784903873452308144405915162525403456937128917083635692834274521746517190038725884156724015.32%159520986.90%145626945859.48%4712841955.97%2403417357.58%807257896375205335841900
Playoff
1240400000714-72020000048-42020000036-30714210002237603220241004693813339.09%35682.86%05612345.53%5113438.06%287238.89%8253109324822
13624000001315-2312000007703120000068-241323360104271080333636151461281053139.68%51982.35%07015844.30%10321547.91%459447.87%13992156487935
144040000049-52020000024-22020000025-30481210022011603928391032456722613.85%22386.36%07715649.36%7314251.41%366456.25%10371104325325
Total Playoff14212000002438-14716000001319-6716000001119-842445691108610300010484993541162772589077.78%1081883.33%020343746.45%22749146.23%10923047.39%32621737011318184