Providence Bruins
GP: 11 | W: 5 | L: 6 | OTL: 0 | P: 10
GF: 30 | GA: 27 | PP%: 20.00% | PK%: 82.81%
GM : | Morale : 40 | Team Overall : 62
Next Games #158 vs St. John's
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Kenny AgostinoX100.0072468564758078635965626663756857406402810$
2Michael McCarronX100.0083637260998381597158586456697078406402510$
3Alexander TrueX100.0066478964898077625961606362656353406302310$
4Blake PietilaX100.0064438862728477615860606359736761406202710$
5Erik CondraX100.0058478662698075615760606359847451406203410$
6Jordan SzwarzX100.0059458763717879626860615962776754406202910$
7Marko DanoX100.0060528162737778635460586163716676406102610$
8Nick CaamanoX100.0064518362837473605458596157636256406102210$
9Ryan SchmelzerX100.0062488859788782576456565859736758406102710$
10Eric KnodelX100.0079438958966668573059506246786854406403010$
11Adam BoqvistX100.0063398870697672683066615952616289406302010$
12Thomas SchemitschX100.0070518657868885563055545845676456406302410$
13Jake BischoffX100.0061438760768373583057575952716653406202610$
14Tobias BjornfotX100.0061429063757670613059586246596184406201910$
15Chris WidemanX100.0057458461687671593062585754787054406103110$
16Edward WittchowX100.0064487558817271563054575946756857406102810$
17Josh HealeyX100.0063577156758381543053515546716659406002610$
Scratches
1Alexandre FortinX100.0058438961718076595457585661656362406002310$
2Dmitry SokolovX100.0053378761668385595355605661636264406002210$
3Vincent ArseneauX100.0065596958807776565152575558756857405902810$
4Axel Jonsson-FjallbyX100.0052398859688583575153565459636256405802210$
5David PopeX100.0062438855787577535150545653716657405702610$
6Jesper LindgrenX100.0053418358677574573056525451656366405802310$
TEAM AVERAGE100.00634784617779775947585759557066614061
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
1Marcus Hogberg100.00737573917271737271737271756240720
2Eric Comrie100.00756866727473757473757469736640710
Scratches
1Jakub Skarek100.00676563836665676665676661656440660
TEAM AVERAGE100.0072696782717072717072716771644070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Arniel66677462868061CAN574500,000$


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
1Erik CondraProvidence Bruins (BOS)RW11459500151751423.53%116615.11235955000002036.36%1100001.0800000120
2Kenny AgostinoProvidence Bruins (BOS)LW113695100141123111713.04%326123.8013410550001501044.44%1800000.6900000013
3Adam BoqvistProvidence Bruins (BOS)D11268240481551513.33%924222.071451257000047000.00%000000.6600000100
4Michael McCarronProvidence Bruins (BOS)C1135842352524227913.64%328325.7822411530001410155.12%28300000.5600001100
5Blake PietilaProvidence Bruins (BOS)LW11257-540117317216.45%324222.0012313530002330031.58%1900000.5800000010
6Jake BischoffProvidence Bruins (BOS)D11257012049113718.18%722520.51235950000044000.00%000000.6200000000
7Alexander TrueProvidence Bruins (BOS)C11246-66017201441214.29%226023.720443490001281146.09%24300000.4600000100
8Marko DanoProvidence Bruins (BOS)LW1142614021391444.44%214413.13000010000111030.00%1000000.8300000010
9Nick CaamanoProvidence Bruins (BOS)RW11336-5601391791117.65%020718.86224552000000057.14%700000.5800000001
10Eric KnodelProvidence Bruins (BOS)D112352240196124316.67%623521.45213955000042000.00%000000.4200000100
11Jordan SzwarzProvidence Bruins (BOS)C112351002171231016.67%215614.2000006000050049.60%12500000.6400000000
12Ryan SchmelzerProvidence Bruins (BOS)C1102212041211230.00%213412.25000030001320049.46%9300000.3000000000
13Tobias BjornfotProvidence Bruins (BOS)D11022260371120.00%311810.760000300001000.00%000000.3400000000
14Thomas SchemitschProvidence Bruins (BOS)D11101-119521813567.69%1222320.271011251000043000.00%000000.0900010001
15Chris WidemanProvidence Bruins (BOS)D11000-340260000.00%3797.27000020000600100.00%100000.0000000000
16Edward WittchowProvidence Bruins (BOS)D110001802263000.00%612811.7100000000019000.00%000000.0000000000
17Josh HealeyProvidence Bruins (BOS)D11000-3140620000.00%3696.280000000000000.00%000000.0000000000
Team Total or Average1873051811146101701702116713414.22%67318117.011424389355100064095249.63%81000000.5100011555
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
1Marcus HogbergProvidence Bruins (BOS)115600.8822.4765600272290000.0000110001
Team Total or Average115600.8822.4765600272290000.0000110001


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 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
Adam BoqvistProvidence Bruins (BOS)D208/15/2000No179 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Alexander TrueProvidence Bruins (BOS)C237/17/1997No200 Lbs6 ft5NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Alexandre FortinProvidence Bruins (BOS)LW232/25/1997No184 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Axel Jonsson-FjallbyProvidence Bruins (BOS)RW222/10/1998No170 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Blake PietilaProvidence Bruins (BOS)LW272/20/1993No200 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Chris WidemanProvidence Bruins (BOS)D311/7/1990No190 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLink / NHL Link
David PopeProvidence Bruins (BOS)LW269/27/1994No187 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Dmitry SokolovProvidence Bruins (BOS)RW224/14/1998No221 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Edward WittchowProvidence Bruins (BOS)D2810/31/1992No189 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Eric ComrieProvidence Bruins (BOS)G257/6/1995No175 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Eric KnodelProvidence Bruins (BOS)D306/8/1990No216 Lbs6 ft6NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Erik CondraProvidence Bruins (BOS)RW348/6/1986No185 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jake BischoffProvidence Bruins (BOS)D267/25/1994No194 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jakub SkarekProvidence Bruins (BOS)G2111/10/1999No196 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jesper LindgrenProvidence Bruins (BOS)D235/19/1997No165 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jordan SzwarzProvidence Bruins (BOS)C295/14/1991No192 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Josh HealeyProvidence Bruins (BOS)D267/14/1994No205 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Kenny AgostinoProvidence Bruins (BOS)LW284/30/1992No204 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Marcus HogbergProvidence Bruins (BOS)G2611/25/1994No209 Lbs6 ft5NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Marko DanoProvidence Bruins (BOS)LW2611/30/1994No201 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Michael McCarronProvidence Bruins (BOS)C253/7/1995No232 Lbs6 ft6NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Nick CaamanoProvidence Bruins (BOS)RW229/7/1998No200 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Ryan SchmelzerProvidence Bruins (BOS)C277/28/1993No188 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Thomas SchemitschProvidence Bruins (BOS)D2410/26/1996No200 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Tobias BjornfotProvidence Bruins (BOS)D194/6/2001No202 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Vincent ArseneauProvidence Bruins (BOS)LW283/26/1992No200 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2625.42196 Lbs6 ft11.000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kenny AgostinoMichael McCarronErik Condra40122
2Blake PietilaAlexander TrueNick Caamano30122
3Marko DanoJordan SzwarzMichael McCarron20122
4Kenny AgostinoRyan SchmelzerAlexander True10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric KnodelAdam Boqvist40122
2Thomas SchemitschJake Bischoff30122
3Tobias BjornfotEdward Wittchow20122
4Chris WidemanJosh Healey10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kenny AgostinoMichael McCarronErik Condra60122
2Blake PietilaAlexander TrueNick Caamano40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric KnodelAdam Boqvist60122
2Thomas SchemitschJake Bischoff40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael McCarronKenny Agostino60122
2Alexander TrueBlake Pietila40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric KnodelAdam Boqvist60122
2Thomas SchemitschJake Bischoff40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael McCarron60122Eric KnodelAdam Boqvist60122
2Kenny Agostino40122Thomas SchemitschJake Bischoff40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael McCarronKenny Agostino60122
2Alexander TrueBlake Pietila40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric KnodelAdam Boqvist60122
2Thomas SchemitschJake Bischoff40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kenny AgostinoMichael McCarronErik CondraEric KnodelAdam Boqvist
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kenny AgostinoMichael McCarronErik CondraEric KnodelAdam Boqvist
Extra Forwards
Normal PowerPlayPenalty Kill
Jordan Szwarz, Marko Dano, Ryan SchmelzerJordan Szwarz, Marko DanoRyan Schmelzer
Extra Defensemen
Normal PowerPlayPenalty Kill
Tobias Bjornfot, Edward Wittchow, Chris WidemanTobias BjornfotEdward Wittchow, Chris Wideman
Penalty Shots
Michael McCarron, Kenny Agostino, Alexander True, Blake Pietila, Erik Condra
Goalie
#1 : Marcus Hogberg, #2 : Eric Comrie
Custom OT Lines Forwards
Michael McCarron, Kenny Agostino, Alexander True, Blake Pietila, Erik Condra, Jordan Szwarz, Jordan Szwarz, Marko Dano, Nick Caamano, Ryan Schmelzer,
Custom OT Lines Defensemen
Eric Knodel, Adam Boqvist, Thomas Schemitsch, Jake Bischoff, Tobias Bjornfot


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
1Abbotsford Heat1010000001-1000000000001010000001-100.000000001112701669746801731210700.00%5180.00%016132349.85%16332150.78%7816646.99%2561732668413665
2Adirondack Phantoms1010000023-11010000023-10000000000000.0002350011127020697468015410195120.00%5180.00%016132349.85%16332150.78%7816646.99%2561732668413665
3Connecticut Whale11000000312110000003120000000000021.0003690011127018697468022612135120.00%60100.00%016132349.85%16332150.78%7816646.99%2561732668413665
4Lake Erie Monsters11000000532110000005320000000000021.00059140011127021697468025825115240.00%10280.00%016132349.85%16332150.78%7816646.99%2561732668413665
5Oklahoma City Barons1010000013-2000000000001010000013-200.000123001112701169746801971018700.00%5260.00%016132349.85%16332150.78%7816646.99%2561732668413665
6Portland Pirates1010000023-1000000000001010000023-100.00023500111270246974680221312186116.67%50100.00%016132349.85%16332150.78%7816646.99%2561732668413665
7San Antonio Rampage11000000413110000004130000000000021.00046100011127020697468024516156233.33%7185.71%016132349.85%16332150.78%7816646.99%2561732668413665
8Worcester Sharks4220000013121110000005413120000088040.500132235001112708169746808521496629724.14%21480.95%016132349.85%16332150.78%7816646.99%2561732668413665
Total115600000302735410000019127615000001115-4100.45530518100111270211697468022967146170701420.00%641182.81%016132349.85%16332150.78%7816646.99%2561732668413665
_Since Last GM Reset115600000302735410000019127615000001115-4100.45530518100111270211697468022967146170701420.00%641182.81%016132349.85%16332150.78%7816646.99%2561732668413665
_Vs Conference7340000020191321000001082413000001011-160.4292034540011127014369746801444483116451022.22%37586.49%016132349.85%16332150.78%7816646.99%2561732668413665
_Vs Division22300000541210000005410130000000041.0005914001112703869746803710223210220.00%11190.91%016132349.85%16332150.78%7816646.99%2561732668413665

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1110W13051812112296714617000
All Games
GPWLOTWOTL SOWSOLGFGA
115600003027
Home Games
GPWLOTWOTL SOWSOLGFGA
54100001912
Visitor Games
GPWLOTWOTL SOWSOLGFGA
61500001115
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
701420.00%641182.81%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6974680111270
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16132349.85%16332150.78%7816646.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2561732668413665


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
2 - 2021-01-068Providence Bruins1Worcester Sharks2LBoxScore
5 - 2021-01-0926Worcester Sharks4Providence Bruins5WBoxScore
9 - 2021-01-1343Connecticut Whale1Providence Bruins3WBoxScore
10 - 2021-01-1447Providence Bruins3Worcester Sharks4LBoxScore
13 - 2021-01-1757Providence Bruins2Portland Pirates3LBoxScore
16 - 2021-01-2068Providence Bruins0Abbotsford Heat1LBoxScore
19 - 2021-01-2385Lake Erie Monsters3Providence Bruins5WBoxScore
23 - 2021-01-27101Providence Bruins4Worcester Sharks2WBoxScore
25 - 2021-01-29114Adirondack Phantoms3Providence Bruins2LBoxScore
29 - 2021-02-02137Providence Bruins1Oklahoma City Barons3LBoxScore
32 - 2021-02-05150San Antonio Rampage1Providence Bruins4WBoxScore
34 - 2021-02-07158Providence Bruins-St. John's-
38 - 2021-02-11181Manchester Monarchs-Providence Bruins-
42 - 2021-02-15201Worcester Sharks-Providence Bruins-
44 - 2021-02-17212Providence Bruins-Portland Pirates-
45 - 2021-02-18219Providence Bruins-Worcester Sharks-
50 - 2021-02-23244Connecticut Whale-Providence Bruins-
56 - 2021-03-01271Connecticut Whale-Providence Bruins-
60 - 2021-03-05291Chicago Wolves-Providence Bruins-
64 - 2021-03-09317Toronto Marlies-Providence Bruins-
70 - 2021-03-15343Providence Bruins-St. John's-
71 - 2021-03-16353Hamilton Bulldogs-Providence Bruins-
75 - 2021-03-20376Worcester Sharks-Providence Bruins-
77 - 2021-03-22386Providence Bruins-Springfield Falcons-
79 - 2021-03-24398Providence Bruins-Manchester Monarchs-
82 - 2021-03-27408Bridgeport Sound Tigers-Providence Bruins-
87 - 2021-04-01439Lake Erie Monsters-Providence Bruins-
89 - 2021-04-03447Providence Bruins-Hershey Bears-
91 - 2021-04-05457Providence Bruins-Bridgeport Sound Tigers-
94 - 2021-04-08476Abbotsford Heat-Providence Bruins-
98 - 2021-04-12497Providence Bruins-Chicago Wolves-
100 - 2021-04-14506Wilkes-Barre/Scranton Penguins-Providence Bruins-
103 - 2021-04-17531Texas Stars-Providence Bruins-
105 - 2021-04-19542Providence Bruins-Hamilton Bulldogs-
108 - 2021-04-22554Providence Bruins-Connecticut Whale-
110 - 2021-04-24567Albany Devils-Providence Bruins-
114 - 2021-04-28585Providence Bruins-Norfolk Admirals-
116 - 2021-04-30598Providence Bruins-Abbotsford Heat-
117 - 2021-05-01604Houston Aeros-Providence Bruins-
122 - 2021-05-06629Rockford IceHogs-Providence Bruins-
128 - 2021-05-12656Oklahoma City Barons-Providence Bruins-
132 - 2021-05-16675Providence Bruins-Syracuse Crunch-
134 - 2021-05-18687San Antonio Rampage-Providence Bruins-
139 - 2021-05-23710Providence Bruins-Adirondack Phantoms-
141 - 2021-05-25718Milwaukee Admirals-Providence Bruins-
143 - 2021-05-27727Providence Bruins-San Antonio Rampage-
147 - 2021-05-31749Hershey Bears-Providence Bruins-
153 - 2021-06-06779Portland Pirates-Providence Bruins-
156 - 2021-06-09796Providence Bruins-Portland Pirates-
158 - 2021-06-11810Grand Rapids Griffins-Providence Bruins-
160 - 2021-06-13819Providence Bruins-Peoria Rivermen-
162 - 2021-06-15832Providence Bruins-Wilkes-Barre/Scranton Penguins-
164 - 2021-06-17842Binghamton Senators-Providence Bruins-
166 - 2021-06-19851Providence Bruins-Rochester Americans-
168 - 2021-06-21863Providence Bruins-Manchester Monarchs-
170 - 2021-06-23874Providence Bruins-Worcester Sharks-
172 - 2021-06-25883Providence Bruins-Lake Erie Monsters-
174 - 2021-06-27889Manchester Monarchs-Providence Bruins-
177 - 2021-06-30908Providence Bruins-Oklahoma City Barons-
179 - 2021-07-02917Norfolk Admirals-Providence Bruins-
182 - 2021-07-05935Providence Bruins-Chicago Wolves-
184 - 2021-07-07947Providence Bruins-Grand Rapids Griffins-
186 - 2021-07-09954Chicago Wolves-Providence Bruins-
189 - 2021-07-12974Providence Bruins-Toronto Marlies-
191 - 2021-07-14982Peoria Rivermen-Providence Bruins-
195 - 2021-07-181010Providence Bruins-Milwaukee Admirals-
196 - 2021-07-191015Charlotte Checkers-Providence Bruins-
200 - 2021-07-231038Adirondack Phantoms-Providence Bruins-
202 - 2021-07-251047Providence Bruins-Houston Aeros-
204 - 2021-07-271058Providence Bruins-Rockford IceHogs-
Trade Deadline --- Trades can’t be done after this day is simulated!
206 - 2021-07-291074Springfield Falcons-Providence Bruins-
211 - 2021-08-031101Springfield Falcons-Providence Bruins-
214 - 2021-08-061126St. John's-Providence Bruins-
216 - 2021-08-081134Providence Bruins-Albany Devils-
219 - 2021-08-111157Rochester Americans-Providence Bruins-
222 - 2021-08-141166Providence Bruins-Texas Stars-
225 - 2021-08-171187Syracuse Crunch-Providence Bruins-
229 - 2021-08-211205Providence Bruins-Binghamton Senators-
233 - 2021-08-251216Providence Bruins-Charlotte Checkers-
234 - 2021-08-261220Providence Bruins-Wilkes-Barre/Scranton Penguins-
237 - 2021-08-291234Portland Pirates-Providence Bruins-
246 - 2021-09-071271St. John's-Providence Bruins-



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
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 215 2,024$ 435,160$




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
201682323406622247264-1741171603401127129-241151803221120135-1588247442689110103785824940829838801264376668218962965117.23%2915282.13%31393276950.31%1428287549.67%649132249.09%1913126919376501117554
2017822437011163221245-2441102006032104123-1941141705131117122-58622139261313076705825690865822830283176481220903095417.48%3465584.10%51391282749.20%1490314347.41%641128349.96%1891126120256331072528
201882313904332227254-2741191800121119119041122104211108135-278122740363012088686425320851822838267176960319442876422.30%2575379.38%61358279548.59%1352288846.81%601130945.91%1938131619466191072535
201982223508854227267-4041111902531104129-2541111606323123138-158222740663321081666724080761787808279780264320422464819.51%2835580.57%31300278546.68%1366297945.85%658129550.81%1942131619766101082539
1115600000302735410000019127615000001115-41030518100111270211697468022967146170701420.00%641182.81%016132349.85%16332150.78%7816646.99%2561732668413665
Total Regular Season3391141510291816119521057-10516961740111085473512-391705377018886479545-66347952169426465711360289247102146933803337327711171316828868142120823119.12%124122681.79%1756031149948.73%57991220647.51%2627537548.87%794253378153259844812222