BluesSt. Louis Blues
32-18-6, 70pts · 6th in Western Conference
Player Stats
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# 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
1Auston MatthewsBluesBlues34C/LW5622456756046321872086.85%820.:.1051621000304154.00%123700001.1913
2Robert ThomasBluesBlues18C/RW56233760520321986514111.62%819.:.153111400034152.02%131500001.1103
3Seth JarvisBluesBlues24C/LW/RW5622305241801032196113910.05%1520.:.3021012011485051.95%7700000.9111
4Matthew TkachukBluesBlues19LW/RW56232447203351001834712112.57%618.:.06448011144144.32%8800000.9300
5Elias PetterssonBluesBlues40C/LW/RW5113274078067146421098.90%218.:.365510011183154.01%37400000.8402
6Logan CooleyBluesBlues92C/LW56132235-219559141391059.22%418.:.15381100001052.17%18400000.6800
7Lane HutsonBluesBlues48D56627331275626114399.84%5621.:.5254901114200.00%000000.5400
8Moritz SeiderBluesBlues53D56102333850017761194516.39%9123.:.45459000143220.00%000000.5000
9Mikhail SergachevBluesBlues98D569233252409677316111.69%9123.:.31527000115100.00%000000.4900
10Adam LowryBluesBlues17C/LW56111324218104398278111.22%1414.:.220111011810156.81%119700100.6000
11Ivan ProvorovBluesBlues9D566131942155246133013.04%6921.:.28000000156110.00%000000.3200
12Will CuylleBluesBlues50LW/RW5651116-23401429625585.21%513.:.1112300001138.78%4900000.4300
13Simon EdvinssonBluesBlues77D5457126340802661819.23%5213.:.1111200036000.00%000000.3400
14Ryan SuterBluesBlues20D56471171005027111114.81%5314.:.0900010199100.00%000000.2800
15Cole SmithBluesBlues36LW/RW5255107315583692413.89%1108.:.270000001291138.10%2100000.4600
16Noel AcciariBluesBlues65C/LW/RW525510320213762513.51%207.:.17000000710048.17%32800000.5300
17Matt CoronatoBluesBlues27LW/RW49459-720216320366.35%213.:.1912300001049.09%5500000.2800
18Sam CarrickBluesBlues25C/RW54156412025349272.94%007.:.20000000680042.47%14600000.3000
19Mackie SamoskevichBluesBlues25C/RW20325-260111931215.79%310.:.1000000000020.00%1000000.4900
20Eric RobinsonBluesThunderbirds (STL)50LW/RW1000-10010000.00%016.:.440000000000.00%000000.0000
21Pavel MintyukovBluesThunderbirds (STL)34D200000000000.00%012.:.480000002000.00%000000.0000
22Dmitri OsipovBluesThunderbirds (STL)0D100000000000.00%000.:.000000000000.00%000000.0000
Team Total or Average1004190331521753573512451889534129010.06%49216:2839711102461132311052.84%508100100.6329
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
1Igor ShesterkinBluesBlues452614590.9%2.69271983122134001166.7%94511511
2Justus AnnunenBluesBlues1164189.8%3.4666020383730010.0%01145000
Team Total or Average563218690.7%2.84337910316017130120.66795656511
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
1BluesPenguins1000001032121.00034700110137168106353618200.00%30100.00%01128209653.82%1069199053.72%48895351.21%271822814860.0%8.1%94.3%102.4DULL
2BluesIslanders1010000026-400.00022400110034913120513423100.00%20100.00%01128209653.82%1069199053.72%48895351.21%221523714625.0%5.9%88.2%94.1Unlucky
3BluesRangers2100010088030.75081321004220692223231611713549222.22%4175.00%01128209653.82%1069199053.72%48895351.21%45294716271446.2%11.6%86.9%98.5FUN
4BluesDevils1010000013-200.000123001000291110803913827100.00%30100.00%01128209653.82%1069199053.72%48895351.21%221425712625.0%3.4%92.3%95.8DULL
5BluesFlyers2200000084441.000814220025109224383003913124519421.05%6183.33%01128209653.82%1069199053.72%48895351.21%55383715261457.1%8.7%89.7%98.4Unlucky
6BluesHurricanes1100000032121.000369001110351571303371019100.00%50100.00%01128209653.82%1069199053.72%48895351.21%251821712560.0%8.6%93.9%102.5DULL
7BluesLightning2020000048-400.00045900004056162020077201642100.00%8187.50%01128209653.82%1069199053.72%48895351.21%44304814261336.4%7.1%89.6%96.8Unlucky
8BluesJets2200000093641.0009162500522076233023058151340400.00%50100.00%01128209653.82%1069199053.72%48895351.21%49334414261375.0%11.8%94.8%106.7LUCKY
9BluesCapitals1100000041321.0004711003100279810037641811100.00%10100.00%01128209653.82%1069199053.72%48895351.21%231623713675.0%14.8%97.3%112.1LUCKY
10BluesPanthers2110000054120.50059140011305312231806017849300.00%40100.00%11128209653.82%1069199053.72%48895351.21%47324415271355.6%9.4%93.3%102.8LUCKY
11BluesBruins2020000058-300.0005914102210461414180612112407114.29%6266.67%01128209653.82%1069199053.72%48895351.21%49314315271440.0%10.9%86.9%97.8FUN
12BluesSenators2110000078-120.500713200041207228232106521125113430.77%6266.67%01128209653.82%1069199053.72%48895351.21%50344214261433.3%9.7%87.7%97.4FUN
13BluesCanadiens20200000610-400.000610160022208331322007220185010110.00%9277.78%01128209653.82%1069199053.72%48895351.21%51334114271338.5%7.2%86.1%93.3Unlucky
14BluesSabres2110000047-320.500471100121068202820062241241500.00%60100.00%01128209653.82%1069199053.72%48895351.21%45304515281336.4%5.9%88.7%94.6Unlucky
15BluesMaple Leafs1100000084421.000813210013403812151104092322150.00%10100.00%01128209653.82%1069199053.72%48895351.21%231521714863.6%21.1%90.0%111.1FUN
16BluesRed Wings2200000081741.00081321011520551421200562717436233.33%50100.00%01128209653.82%1069199053.72%48895351.21%49334314261485.7%14.5%98.2%112.8LUCKY
17BluesBlackhawks32001000115661.00011203100307111430305227518126710330.00%6266.67%01128209653.82%1069199053.72%48895351.21%79545823432272.7%9.6%93.3%103.0LUCKY
18BluesBlue Jackets2010010079-210.25071118001330622018240702317465360.00%6350.00%01128209653.82%1069199053.72%48895351.21%45304714271440.0%11.3%87.1%98.4FUN
19BluesPredators420020001710781.00017314800924212340245451004629858112.50%11190.91%01128209653.82%1069199053.72%48895351.21%90609831542664.0%13.8%90.0%103.8FUN
20BluesWild1000010034-110.5003690010204161219435811188337.50%2150.00%01128209653.82%1069199053.72%48895351.21%27182281370.0%7.3%88.6%95.9Unlucky
21BluesOilers20200000610-400.0006101610231069192723057171847500.00%9455.56%01128209653.82%1069199053.72%48895351.21%47324514261350.0%8.7%82.5%91.2Unlucky
22BluesFlames2200000063341.000612180131207321242805625145422100.00%6266.67%01128209653.82%1069199053.72%48895351.21%54383713271480.0%8.2%94.6%102.9DULL
23BluesCanucks2010100066020.5006101600032167152823165131434300.00%7271.43%01128209653.82%1069199053.72%48895351.21%46314614271360.0%9.0%90.8%99.7FUN
24BluesAvalanche1000010034-110.50035800201019577036710192150.00%50100.00%01128209653.82%1069199053.72%48895351.21%211324714633.3%15.8%88.9%104.7FUN
25BluesKings2100000198130.75091726005400782027277562310418225.00%50100.00%01128209653.82%1069199053.72%48895351.21%51354614261446.7%11.5%85.7%97.3FUN
26BluesMammoth3120000079-220.333712190041209029303101022122598112.50%11372.73%01128209653.82%1069199053.72%48895351.21%69467222381950.0%7.8%91.2%99.0DULL
27BluesStars3200000196350.8339172601342110928403410901617581317.69%50100.00%01128209653.82%1069199053.72%48895351.21%81596221402057.1%8.3%93.3%101.6DULL
28BluesDucks1100000072521.000712190015105022141401746177342.86%30100.00%11128209653.82%1069199053.72%48895351.21%261719713766.7%14.0%88.2%102.2FUN
29BluesKraken1100000042221.000471100400033179701534243133.33%20100.00%01128209653.82%1069199053.72%48895351.21%281917714760.0%12.1%86.7%98.8FUN
30BluesGolden Knights32100000117440.667111829004250913824290953216857228.57%80100.00%01128209653.82%1069199053.72%48895351.21%70486821402056.3%12.1%92.6%104.7LUCKY
_Vs Division179203201594118270.794591071660127920457216117322021496131114346531018.87%45784.44%01128209653.82%1069199053.72%48895351.21%41828738312923111659.0%10.3%91.7%102.0LUCKY
_Vs Conference30166042021087929440.733108193301124627315103331332637129857248196648882022.73%851582.35%11128209653.82%1069199053.72%48895351.21%74550966622140820957.9%10.5%90.8%101.2FUN
_Since Last GM Reset5627180441219116427700.625191331522237257576188958662764936171549236712461743922.41%1602783.13%21128209653.82%1069199053.72%48895351.21%1376935124641976339252.6%10.1%90.4%100.5FUN
Total5627180441219116427700.625191331522237257576188958662764936171549236712461743922.41%1602783.13%21128209653.82%1069199053.72%48895351.21%1376935124641976339252.6%10.1%90.4%100.5FUN

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 2096
Neutral Zone Start 953
Defensive Zone Start 1990
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 2685
Faceoffs Lost 2354
Team Average Shots after League Average Shots after
1st Period 10.510.69
2nd Period 21.721.35
3rd Period 33.332.03
Overtime 33.932.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.31.08
2nd Period 2.32.13
3rd Period 3.32.97
Overtime 3.43.07
Even Strenght Goal 148
PP Goal 39
PK Goal 2
Empty Net Goal 2
Home Away
Win 1913
Lost 810
Overtime Lost 33
PP Attempt 174
PP Goal 39
PK Attempt 160
PK Goal Against 27
Home
Shots For 33.7
Shots Against 30.6
Goals For 3.4
Goals Against 2.9
Hits 22.3
Shots Blocked 8.8
Pim 6.6