BruinsBoston Bruins
7-7-2, 16pts · 7th in Eastern Conference
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1John TavaresBruinsBruins91C/LW1651116380406014338.33%220.:.3113400001053.18%44000000.9700
2Aliaksei ProtasBruinsBruins59C/LW1669153201455173910.91%321.:.35022000250036.96%4600000.8700
3Sam ReinhartBruinsBruins13C/RW16510153120248626645.81%020.:.4412300012051.52%3300000.9003
4Jake DeBruskBruinsBruins74LW/RW16459320154713368.51%114.:.1612300001156.25%1600000.7913
5Colton ParaykoBruinsBruins55D16347-7120402381913.04%2123.:.5821300033100.00%000000.3700
6Jason DickinsonBruinsBruins16C/LW1634731410222882510.71%215.:.36000000510052.56%37100000.5600
7Victor OlofssonBruinsBruins71LW/RW1643722071993021.05%213.:.2101100000046.67%1500000.6601
8John CarlsonBruinsBruins73D16167-6100301816145.56%2825.:.1410100039000.00%000000.3500
9Christopher TanevBruinsBruins9D161453402915566.67%3220.:.3100000045010.00%000000.3000
10Oliver BjorkstrandBruinsBruins28LW/RW16145-25527228164.55%316.:.59000000190021.05%1900000.3700
11Nick SchmaltzBruinsBruins8C/RW1631410044810246.25%316.:.2510100001050.54%9300000.3012
12Derek ForbortBruinsBruins58D1513439515104810.00%2715.:.0800000024000.00%000000.3500
13Tyler SeguinBruinsBruins89C/RW13033-220102214230.00%215.:.5400000050045.02%23100000.2900
14Drake BathersonBruinsBruins79C/RW7213-12091691412.50%015.:.4000000010050.00%1000000.5501
15Philip BrobergBruinsBruins6D16202310028103920.00%1318.:.3700000014000.00%000000.1300
16Luke GlendeningBruinsBruins11C/RW16022-4601012550.00%006.:.3200000020051.22%12300000.3800
17Eetu LuostarinenBruinsBruins27C/LW16011-411515204100.00%109.:.44000000520033.33%1200000.1300
18Emil LillebergBruinsBruins0D160115120225260.00%2213.:.410000003000.00%000000.0900
19Owen BeckBruinsBruins0C12101-300641625.00%106.:.2400000000142.86%700000.2600
20Nolan AllanBruinsBruins (BOS)0D100020000000.00%011.:.080000000000.00%000000.0000
Team Total or Average28742721143123253675201763878.08%16316:32711180003226350.07%141600000.48210
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
1Jeremy SwaymanBruinsBruins1365291.6%2.51788203339501057.1%7133021
2Jonathan QuickBruinsBruins312091.3%3.261840010115000100.0%3313000
Team Total or Average1677291.6%2.6597220435100100.700101616021
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1BruinsIslanders2110000045-120.5004812001120642124190701812415240.00%60100.00%030060149.92%27855250.36%13124952.61%50344114281528.6%6.3%92.9%99.1DULL
2BruinsHurricanes1010000003-300.000000000000306915039121120400.00%3166.67%030060149.92%27855250.36%13124952.61%22152481260.0%0.0%92.3%92.3DULL
3BruinsLightning1100000051421.0005813003110482791202234166233.33%20100.00%030060149.92%27855250.36%13124952.61%251821813675.0%10.4%95.5%105.9LUCKY
4BruinsCapitals1100000041321.0004812001210291112601182194125.00%10100.00%030060149.92%27855250.36%13124952.61%271818713775.0%13.8%90.9%104.7FUN
5BruinsPanthers1010000023-100.0002460011003915915042151317300.00%40100.00%030060149.92%27855250.36%13124952.61%221424813640.0%5.1%92.9%98.0DULL
6BruinsSenators2100000187130.75081321003230692319264551017495120.00%6350.00%030060149.92%27855250.36%13124952.61%51334415291563.6%11.6%87.3%98.9FUN
7BruinsSabres2110000035-220.50035800111049112018070191955100.00%7271.43%030060149.92%27855250.36%13124952.61%45284615281350.0%6.1%92.9%99.0DULL
8BruinsBlackhawks1010000023-100.000224001100381016120338233000.00%10100.00%030060149.92%27855250.36%13124952.61%241621714740.0%5.3%90.9%96.2Unlucky
9BruinsAvalanche2010001079-220.50071118000241651526233913412443133.33%5180.00%030060149.92%27855250.36%13124952.61%45305114271242.9%10.8%90.1%100.9FUN
10BruinsMammoth1010000023-100.000235000110291361002491722200.00%4175.00%030060149.92%27855250.36%13124952.61%221424713650.0%6.9%87.5%94.4Unlucky
11BruinsDucks1100000042221.0004610001120231463019111026300.00%40100.00%030060149.92%27855250.36%13124952.61%221424812666.7%17.4%89.5%106.9FUN
12BruinsGolden Knights1000000123-110.500246001101371551393416625200.00%3166.67%030060149.92%27855250.36%13124952.61%221528813650.0%5.4%91.2%96.6DULL
_Vs Division632000011816270.5831830480085502057657714189475313715320.00%19573.68%030060149.92%27855250.36%13124952.61%1449513647844157.7%8.8%91.5%100.3DULL
_Vs Conference10540000126251110.55026467200108803281141021114309857821728621.43%29679.31%030060149.92%27855250.36%13124952.61%245163220781387151.3%7.9%91.9%99.8DULL
_Since Last GM Reset1667000124345-2160.50043721150013141525201811611721651016312536738718.42%46980.43%030060149.92%27855250.36%13124952.61%38325537112322011050.0%8.3%91.2%99.4DULL
Total1667000124345-2160.50043721150013141525201811611721651016312536738718.42%46980.43%030060149.92%27855250.36%13124952.61%38325537112322011050.0%8.3%91.2%99.4DULL

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 601
Neutral Zone Start 249
Defensive Zone Start 552
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 709
Faceoffs Lost 693
Team Average Shots after League Average Shots after
1st Period 11.310.69
2nd Period 21.421.35
3rd Period 32.132.03
Overtime 33.132.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.81.08
2nd Period 1.72.13
3rd Period 2.62.97
Overtime 2.83.07
Even Strenght Goal 36
PP Goal 7
PK Goal 0
Empty Net Goal 0
Home Away
Win 52
Lost 52
Overtime Lost 02
PP Attempt 38
PP Goal 7
PK Attempt 46
PK Goal Against 9
Home
Shots For 32.5
Shots Against 31.9
Goals For 2.7
Goals Against 2.8
Hits 22.9
Shots Blocked 10.2
Pim 7.8