BluesSt. Louis Blues
15-4-1, 31pts · 1st in Western 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
1Auston MatthewsBluesBlues34C2019153416602191259220.88%220.:.0734700005051.61%49800021.6900
2Matthew TkachukBluesBlues19LW/RW207212818140827816588.97%020.:.2905500061146.88%3200001.3700
3Elias PetterssonBluesBlues40C/LW/RW199122111602388235910.23%119.:.50224000161051.03%14500001.1100
4Evan BouchardBluesBlues75D206152171001938112515.79%1821.:.402240004000.00%000000.9700
5Robert ThomasBluesBlues18C/RW209112012601986226410.47%719.:.29044000121054.78%35600001.0300
6Seth JarvisBluesBlues24C/LW/RW20613194603857174710.53%418.:.4612301181138.89%3600001.0100
7Mikhail SergachevBluesBlues98D203101319315342471912.50%2020.:.1712300015100.00%000000.6400
8Nicolas RoyBluesBlues10C/RW203912120193713308.11%216.:.40123000341049.33%15000000.7200
9Moritz SeiderBluesBlues53D202911924050339216.06%1922.:.3320200046100.00%000000.4900
10Adam LowryBluesBlues17C/LW2074112215273091323.33%311.:.35000101561055.56%31500110.9500
11Ivan ProvorovBluesBlues9D2028101860181661312.50%1920.:.3602200054100.00%000000.4900
12Nick PaulBluesBlues20C/LW2064104802454213311.11%518.:.29101000221054.30%37200000.5400
13Sean WalkerBluesBlues2D2016731003283912.50%2216.:.0000001158100.00%000000.4400
14Max PaciorettyBluesBlues67LW2014522072111184.76%111.:.0001100000042.86%1400000.4500
15Brandon TanevBluesBlues13LW/RW1913417523283213.57%211.:.08000000620042.86%1400000.3800
16J.J. MoserBluesBlues90D20404460141631425.00%2117.:.0810100058020.00%000000.2300
17Cole SmithBluesBlues36LW/RW1701121009174190.00%107.:.13000000370035.71%1400000.1600
18Nathan BastianBluesBlues14RW1001124054140.00%006.:.06000000200100.00%300000.3300
19Philip TomasinoBluesBlues26LW/RW3101100130033.33%008.:.0600000000066.67%300000.8200
20Pontus HolmbergBluesBlues29C/LW/RW16011200374110.00%006.:.0800000000055.93%11800000.2000
Team Total or Average364871472341381791546873620857011.82%14716:2814264012349816452.85%207000130.7800
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 ShesterkinBluesBlues14104090.8%2.7184022384150010.0%0146200
2Justus AnnunenBluesBlues650190.1%2.6736000161610000.0%0614000
Team Total or Average20154190.6%2.70120022545760010.00002020200
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
1BluesIslanders1100000081721.0008142200233036121113032136175360.00%30100.00%039177050.78%36066654.05%18234253.22%271819713783.3%22.2%96.9%119.1LUCKY
2BluesFlyers1100000010121.00012301010028911803331618400.00%80100.00%039177050.78%36066654.05%18234253.22%2415228137100.0%3.6%100.0%103.6DULL
3BluesHurricanes21001000135841.000132336004531762124301551310387342.86%5180.00%039177050.78%36066654.05%18234253.22%54393913271471.4%17.1%90.9%108.0FUN
4BluesLightning1100000043121.000481200211040198130319614300.00%20100.00%039177050.78%36066654.05%18234253.22%251720613757.1%10.0%90.3%100.3FUN
5BluesJets1100000051421.000581300230031891402710232611100.00%3166.67%039177050.78%36066654.05%18234253.22%2316237136100.0%16.1%96.3%112.4LUCKY
6BluesCapitals1100000030321.00034701030046151615032111018700.00%50100.00%039177050.78%36066654.05%18234253.22%2516217126100.0%6.5%100.0%106.5DULL
7BluesBruins2010010058-310.2505914101220742622260581212558112.50%6183.33%039177050.78%36066654.05%18234253.22%50334214271436.4%6.8%86.2%93.0Unlucky
8BluesSenators1010000013-200.0001230001002588902934243133.33%20100.00%039177050.78%36066654.05%18234253.22%22142371470.0%4.0%89.7%93.7Unlucky
9BluesCanadiens1100000042221.000461000130019775030131017000.00%5180.00%039177050.78%36066654.05%18234253.22%211423814680.0%21.1%93.3%114.4LUCKY
10BluesSabres1100000042221.0004812001120319616025417225120.00%2150.00%139177050.78%36066654.05%18234253.22%221423713675.0%12.9%92.0%104.9LUCKY
11BluesMaple Leafs22000000129341.000122032002550742032220591725562150.00%10370.00%039177050.78%36066654.05%18234253.22%49344415261264.7%16.2%84.7%101.0FUN
12BluesWild2110000098120.500917260053107131211905713184310110.00%8187.50%039177050.78%36066654.05%18234253.22%47304416271353.3%12.7%86.0%98.6FUN
13BluesCoyotes1100000053221.000581300122034614140376424100.00%2150.00%039177050.78%36066654.05%18234253.22%241623712671.4%14.7%91.9%106.6LUCKY
14BluesSharks1100000052321.0005611002300365151602766393133.33%20100.00%039177050.78%36066654.05%18234253.22%231421714766.7%13.9%92.6%106.5LUCKY
15BluesKraken1100000053221.00059140004105422181402478294125.00%4175.00%039177050.78%36066654.05%18234253.22%281916714766.7%9.3%87.5%96.8FUN
16BluesGolden Knights1010000025-300.00023500110037715150214426400.00%220.00%039177050.78%36066654.05%18234253.22%241721713740.0%5.4%76.2%81.6Unlucky
_Vs Division431000001912760.750193352008830136454447012129459312216.67%13376.92%039177050.78%36066654.05%18234253.22%95639031532665.4%14.0%90.1%104.1FUN
_Vs Conference7520000031229100.714315182001116402637992920193466318723417.39%21671.43%039177050.78%36066654.05%18234253.22%17211415154964962.8%11.8%88.6%100.4FUN
_Since Last GM Reset2014401100865531310.775861472331224412017122252372491577144179466671420.90%691381.16%139177050.78%36066654.05%18234253.22%49533343115127414063.2%12.1%90.5%102.5FUN
Total2014401100865531310.775861472331224412017122252372491577144179466671420.90%691381.16%139177050.78%36066654.05%18234253.22%49533343115127414063.2%12.1%90.5%102.5FUN

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 21
Puck Time
Offensive Zone Start 770
Neutral Zone Start 342
Defensive Zone Start 666
Puck Time
With Puck 31
Without Puck 28
Faceoffs
Faceoffs Won 933
Faceoffs Lost 845
Team Average Shots after League Average Shots after
1st Period 11.310.69
2nd Period 23.121.35
3rd Period 35.632.03
Overtime 35.632.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.21.08
2nd Period 3.32.13
3rd Period 4.32.97
Overtime 4.33.07
Even Strenght Goal 70
PP Goal 14
PK Goal 1
Empty Net Goal 1
Home Away
Win 87
Lost 13
Overtime Lost 10
PP Attempt 67
PP Goal 14
PK Attempt 69
PK Goal Against 13
Home
Shots For 35.6
Shots Against 28.9
Goals For 4.3
Goals Against 2.8
Hits 23.3
Shots Blocked 7.2
Pim 9.0