Final
SEA4
CBJ2

Aug
27
BluesSt. Louis Blues
6-7-1, 13pts · 7th in Group B
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
1Mitchell MarnerBluesBlues16RW153912-120187016584.29%021.2502200001035.29%3400000.7511
2Timo MeierBluesBlues28LW/RW154610080485518337.27%320.4202200000133.33%2100000.6500
3Artemi PanarinBluesBlues10LW155510-6001948233610.42%020.3311200001131.25%1600000.6601
4Jordan KyrouBluesBlues25C/RW154610-575114417439.09%119.7313400001036.00%2500000.6800
5Brayden PointBluesBlues0C15369-100133815267.89%021.1902200010047.91%40700000.5701
6Gustav ForslingBluesBlues42D151563202797811.11%1819.7700001123000.00%000000.4000
7Victor HedmanBluesBlues77D15246-66031215189.52%1825.6822400020200.00%000000.3100
8Josh NorrisBluesBlues0C15336-580275012426.00%119.8120200000047.85%41800000.4000
9Noah HanifinBluesBlues55D1505521801882180.00%1521.490000005000.00%000000.3100
10Zach WerenskiBluesBlues8D15224-62016329186.25%1025.6512300022000.00%000000.2100
11Connor BrownBluesBlues28RW1512300003412232.94%613.18000101330042.86%700000.3000
12Alexander KerfootBluesBlues15C/LW15123-1205255204.00%211.61000000120031.58%1900000.3400
13Jordan StaalBluesBlues20C15213-22030268157.69%111.54000000111046.46%19800000.3500
14Rasmus DahlinBluesBlues26D15033-24019188150.00%914.570000002000.00%000000.2700
15Brian DumoulinBluesBlues3D15213-120772428.57%1813.2100000024000.00%000100.3000
16Nick BoninoBluesBlues13C/LW1503330038350.00%27.56000011350050.83%18100000.5300
17Eric RobinsonBluesBlues0LW/RW15011100136110.00%05.3400000040066.67%600000.2500
18Zach PariseBluesBlues11LW/RW151011008122108.33%15.0400000000075.00%800000.2600
Team Total or Average270346498-266353135111653936.65%10516.52714211231986247.09%134000100.4413
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
1Linus UllmarkBluesBlues156810.9112.6389041394360000.3333150300
2Jeremy SwaymanBluesBlues10001.0000.001000020000.0000015000
Team Total or Average166810.9112.6090041394380000.33331515300
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
1BluesHurricanes2110000077020.5007132000331054121626066166396116.67%30100.00%026457046.32%23147548.63%9321243.87%52374114261346.2%13.0%89.4%102.4FUN
2BluesJets2200000051441.00059140130206120271405669407228.57%20100.00%026457046.32%23147548.63%9321243.87%52384213251375.0%8.2%98.2%106.4DULL
3BluesCanadiens2110000033020.50036900120085263128038126361200.00%30100.00%026457046.32%23147548.63%9321243.87%58403515261450.0%3.5%92.1%95.6DULL
4BluesSabres2020000048-400.0004812003100581718230681910333133.33%5180.00%126457046.32%23147548.63%9321243.87%46314815251230.0%6.9%88.2%95.1Unlucky
5BluesBlue Jackets2110000046-220.5004812000220722525220582010499111.11%5180.00%026457046.32%23147548.63%9321243.87%48324415271437.5%5.6%89.7%95.2Unlucky
6BluesOilers2010000157-210.25051015002211772522303581644710220.00%2150.00%026457046.32%23147548.63%9321243.87%52364414271533.3%6.5%87.9%94.4Unlucky
7BluesGolden Knights2110000045-120.50046100010307425242506081638500.00%6266.67%026457046.32%23147548.63%9321243.87%49324415261357.1%5.4%91.7%97.1DULL
_Vs Division1467000013237-5130.464326092011310914811501631683404976128252713.46%26580.77%126457046.32%23147548.63%9321243.87%3592483011031839743.9%6.7%90.8%97.5Unlucky
_Vs Conference1467000013237-5130.464326092011310914811501631683404976128252713.46%26580.77%126457046.32%23147548.63%9321243.87%3592483011031839743.9%6.7%90.8%97.5Unlucky
_Since Last GM Reset1467000013237-5130.464326092011310914811501631683404976128252713.46%26580.77%126457046.32%23147548.63%9321243.87%3592483011031839743.9%6.7%90.8%97.5Unlucky
Total1467000013237-5130.464326092011310914811501631683404976128252713.46%26580.77%126457046.32%23147548.63%9321243.87%3592483011031839743.9%6.7%90.8%97.5Unlucky

Puck Time
Offensive Zone 25
Neutral Zone 13
Defensive Zone 21
Puck Time
Offensive Zone Start 570
Neutral Zone Start 212
Defensive Zone Start 475
Puck Time
With Puck 32
Without Puck 28
Faceoffs
Faceoffs Won 588
Faceoffs Lost 669
Team Average Shots after League Average Shots after
1st Period 10.710.69
2nd Period 22.421.35
3rd Period 34.432.03
Overtime 34.632.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.91.08
2nd Period 1.62.13
3rd Period 2.32.97
Overtime 2.43.07
Even Strenght Goal 24
PP Goal 7
PK Goal 1
Empty Net Goal 0
Home Away
Win 42
Lost 25
Overtime Lost 10
PP Attempt 52
PP Goal 7
PK Attempt 26
PK Goal Against 5
Home
Shots For 34.4
Shots Against 28.9
Goals For 2.3
Goals Against 2.6
Hits 20.1
Shots Blocked 6.9
Pim 4.4