BluesSt. Louis Blues
0-4-0, 0pts · 6th 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 MatthewsBluesBlues34C/LW4213-30021731311.76%020.:.0610100000014.29%700000.7500
2Robert ThomasBluesBlues18C/RW4033-500485120.00%020.:.0701100000045.79%10700000.7500
3Mikhail SergachevBluesBlues98D4022-12081340.00%326.:.0500000014000.00%000000.3800
4Matthew TkachukBluesBlues19LW/RW4022-3208146110.00%120.:.1600000010037.50%800000.4900
5Ivan ProvorovBluesBlues9D4022-42093120.00%1022.:.1900000015000.00%000000.4500
6Moritz SeiderBluesBlues53D4022-160134310.00%623.:.540000008000.00%000000.4200
7Logan CooleyBluesBlues92C/LW4202-140691622.22%020.:.0100000000043.43%9900000.5000
8Lane HutsonBluesBlues48D4011-40032230.00%418.:.350110002000.00%000000.2700
9Elias PetterssonBluesBlues40C/LW/RW4101-500512188.33%020.:.4400000030060.00%1000000.2400
10Seth JarvisBluesBlues24C/LW/RW2101-100363216.67%019.:.010000000000.00%600000.5300
11Cole SmithBluesBlues36LW/RW41010001101100.00%008.:.18000000180033.33%300000.6000
12Sam CarrickBluesBlues25C/RW401104001100.00%005.:.24000000600100.00%100000.9300
13Ryan SuterBluesBlues20D4000-40020200.00%215.:.180000009000.00%000000.0000
14Noel AcciariBluesBlues65C/LW/RW400002012100.00%105.:.2700000060062.96%2700000.0000
15Will CuylleBluesBlues50LW/RW4000-24075120.00%015.:.1200000000042.86%700000.0000
16Adam LowryBluesBlues17C/LW4000-30039330.00%013.:.42000000180054.12%8500000.0000
17Mackie SamoskevichBluesBlues25C/RW2000-10002010.00%009.:.020000000000.00%000000.0000
18Matt CoronatoBluesBlues27LW/RW4000-30018030.00%009.:.1600000000033.33%300000.0000
19Simon EdvinssonBluesBlues77D4000-46081000.00%213.:.440000003000.00%000000.0000
Team Total or Average7271421-453208410536726.67%2916:151230001090047.11%36300000.3600
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 ShesterkinBluesBlues303087.8%3.671800011900000.0%031000
2Kevin LankinenBluesBlues101084.1%7.0060007440000.0%013000
Team Total or Average404086.6%4.5024000181340000.000044000
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
1BluesWild40400000718-1100.0007142100412010539313501342932841417.14%15380.00%06414544.14%7414750.34%337146.48%92609230552728.6%6.7%86.6%93.2Unlucky
_Vs Division40400000718-1100.0007142100412010539313501342932841417.14%15380.00%06414544.14%7414750.34%337146.48%92609230552728.6%6.7%86.6%93.2Unlucky
_Vs Conference40400000718-1100.0007142100412010539313501342932841417.14%15380.00%06414544.14%7414750.34%337146.48%92609230552728.6%6.7%86.6%93.2Unlucky
_Since Last GM Reset40400000718-1100.0007142100412010539313501342932841417.14%15380.00%06414544.14%7414750.34%337146.48%92609230552728.6%6.7%86.6%93.2Unlucky
Total40400000718-1100.0007142100412010539313501342932841417.14%15380.00%06414544.14%7414750.34%337146.48%92609230552728.6%6.7%86.6%93.2Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 145
Neutral Zone Start 71
Defensive Zone Start 147
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 171
Faceoffs Lost 192
Team Average Shots after League Average Shots after
1st Period 9.810.69
2nd Period 17.521.35
3rd Period 26.332.03
Overtime 26.332.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 1.32.13
3rd Period 1.82.97
Overtime 1.83.07
Even Strenght Goal 6
PP Goal 1
PK Goal 0
Empty Net Goal 0
Home Away
Win 00
Lost 22
Overtime Lost 00
PP Attempt 14
PP Goal 1
PK Attempt 15
PK Goal Against 3
Home
Shots For 26.3
Shots Against 33.5
Goals For 1.8
Goals Against 4.5
Hits 21.0
Shots Blocked 7.3
Pim 8.0