BluesSt. Louis Blues
50-23-4, 104pts · 1st 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/LW736260122531606742511730314.59%620.:.1712132500009355.93%155900051.6502
2Matthew TkachukBluesBlues19LW/RW773561965684102722837321512.37%920.:.2861319000188446.67%12000011.2201
3Robert ThomasBluesBlues18C/RW7534538731180733018221311.30%1519.:.2151722000415054.25%99900011.2013
4Elias PetterssonBluesBlues40C/LW/RW723152833218084320902279.69%919.:.3471219000654051.34%142000011.1801
5Seth JarvisBluesBlues24C/LW/RW77274673172601082536920210.67%1618.:.457815011534243.80%13700101.0102
6Evan BouchardBluesBlues2D771043531328078108431049.26%7721.:.505131800015100.00%000000.6300
7Mikhail SergachevBluesBlues98D771138492067513383325313.25%8921.:.113111400067400.00%000000.6000
8Moritz SeiderBluesBlues53D771027373483522593367110.75%10122.:.41527000161400.00%000100.4200
9Logan CooleyBluesBlues92C/LW77152035-218047177701128.47%1215.:.29369000161145.95%114700000.5900
10Nick PaulBluesBlues20C/LW77131831-116079141421069.22%916.:.54336000241054.44%51800000.4800
11Nicolas RoyBluesBlues10C/RW74112031-1316075171541026.43%815.:.29369000961049.44%36000000.5411
12Ivan ProvorovBluesBlues9D7781927373357860193913.33%11620.:.40022000179110.00%000000.3400
13Adam LowryBluesBlues17C/LW77121123-17415129113346410.62%1213.:.541121012431252.62%158100110.4300
14J.J. MoserBluesBlues90D7361319-12005642132814.29%7716.:.25101000200020.00%000000.3200
15Sean WalkerBluesBlues26D7761319-334011447132812.77%10315.:.55000011206110.00%000000.3100
16Will CuylleBluesThunderbirds (STL)50LW4051217-24551126918467.25%413.:.2710100000038.64%4400000.6300
17Brandon TanevBluesBlues13LW/RW737916-22610679916657.07%709.:.430000001901035.59%5900000.4500
18Max PaciorettyBluesBlues67LW755813-1060439130605.49%209.:.3701100002039.13%4600000.3600
19Cole SmithBluesBlues36LW/RW41055229528339330.00%408.:.230000001030037.14%3500000.2900
20Pontus HolmbergBluesBlues29C/LW/RW72325-320154211307.14%306.:.1400000012050.27%55700000.2200
21Pavel MintyukovBluesThunderbirds (STL)34D4000-30041120.00%714.:.350000001000.00%000000.0000
22Mark JankowskiBluesThunderbirds (STL)77C/LW3000-10002110.00%105.:.5300000010040.00%2500000.0000
Team Total or Average13983065188242245714517712882853205510.62%67516:43611081691231687501651.65%853800390.70210
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 Name
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Igor ShesterkinBluesBlues533614291.8%2.62317844139168800280.0%105225631
2Justus AnnunenBluesBlues23138288.6%3.52134660796920200.0%02349110
3Hunter ShepardBluesThunderbirds (STL)211085.1%5.041192010670000.0%023000
Team Total or Average764922490.8%2.89452410421823800220.800107574741
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
1BluesPenguins2010100045-120.500481200120157261810353221336500.00%30100.00%01622303553.44%1485279953.05%682134450.74%45314914251244.4%7.0%90.6%97.6Unlucky
2BluesIslanders220000001321141.000132336003460803022280521814437457.14%70100.00%01622303553.44%1485279953.05%682134450.74%53363914261481.8%16.3%96.2%112.4LUCKY
3BluesRangers2100100097241.00091524002241732921185621826488337.50%13284.62%01622303553.44%1485279953.05%682134450.74%46304817281354.5%12.3%88.7%101.0FUN
4BluesDevils2110000066020.50061016003210672022250681612404125.00%5180.00%01622303553.44%1485279953.05%682134450.74%49324314271450.0%9.0%91.2%100.1LUCKY
5BluesFlyers2200000060641.00061117022310812529270531416459222.22%80100.00%01622303553.44%1485279953.05%682134450.74%513441152714100.0%7.4%100.0%107.4DULL
6BluesHurricanes21001000135841.000132336004531762124301551310387342.86%5180.00%01622303553.44%1485279953.05%682134450.74%54393913271471.4%17.1%90.9%108.0FUN
7BluesLightning2100001086241.000813210031317228152111622812336116.67%5180.00%01622303553.44%1485279953.05%682134450.74%50344615271458.3%11.1%90.3%101.4FUN
8BluesJets3210000096340.667916250054001024828260962735753266.67%9366.67%01622303553.44%1485279953.05%682134450.74%72506722401870.0%8.8%93.8%102.6DULL
9BluesCapitals2100000153230.7505813011400832430247682116519111.11%80100.00%01622303553.44%1485279953.05%682134450.74%49314816271357.1%6.0%95.6%101.6DULL
10BluesPanthers2110000054120.5005914001310582713180561610404125.00%50100.00%01622303553.44%1485279953.05%682134450.74%46304517281350.0%8.6%92.9%101.5DULL
11BluesBruins2010010058-310.2505914101220742622260581212558112.50%6183.33%01622303553.44%1485279953.05%682134450.74%50334214271436.4%6.8%86.2%93.0Unlucky
12BluesSenators2020000027-500.000246000200661823250449104310110.00%5180.00%01622303553.44%1485279953.05%682134450.74%49344315261314.3%3.0%84.1%87.1Unlucky
13BluesCanadiens2200000096341.00091524003510572421120592016375240.00%8275.00%01622303553.44%1485279953.05%682134450.74%49324114291463.6%15.8%89.8%105.6FUN
14BluesSabres2200000084441.00081523002240561713260591625488337.50%6266.67%11622303553.44%1485279953.05%682134450.74%44284915261371.4%14.3%93.2%107.5LUCKY
15BluesMaple Leafs22000000129341.000122032002550742032220591725562150.00%10370.00%01622303553.44%1485279953.05%682134450.74%49344415261264.7%16.2%84.7%101.0FUN
16BluesRed Wings2110000077020.5007101700223069282021048181042800.00%5260.00%01622303553.44%1485279953.05%682134450.74%51344016281458.3%10.1%85.4%95.6FUN
17BluesBlackhawks330000001871161.00018304800103501023832320892523805360.00%9277.78%01622303553.44%1485279953.05%682134450.74%74506421412175.0%17.6%92.1%109.8LUCKY
18BluesBlue Jackets2020000059-400.00051015101220631225260612112436233.33%5180.00%01622303553.44%1485279953.05%682134450.74%44284716271327.3%7.9%85.2%93.2Unlucky
19BluesPredators431000001516-160.750152439005370149474656018942268214428.57%13284.62%01622303553.44%1485279953.05%682134450.74%97689028522644.0%10.1%91.5%101.6LUCKY
20BluesWild431000001914560.7501934530010540151575143013328329017211.76%14285.71%01622303553.44%1485279953.05%682134450.74%99658632542658.6%12.6%89.5%102.1FUN
21BluesOilers2020000049-500.000461000130062252116069178438112.50%4175.00%01622303553.44%1485279953.05%682134450.74%46304516281427.3%6.5%87.0%93.4Unlucky
22BluesFlames32100000149540.667142640006440123405033090271460600.00%70100.00%01622303553.44%1485279953.05%682134450.74%75536520382160.9%11.4%90.0%101.4FUN
23BluesCanucks33000000158761.0001526410034801084437270782022674250.00%110100.00%01622303553.44%1485279953.05%682134450.74%70466823412161.9%13.9%89.7%103.6FUN
24BluesAvalanche30200100512-710.1675101500311010143292901373020793266.67%9188.89%01622303553.44%1485279953.05%682134450.74%65437622381821.4%5.0%91.2%96.2DULL
25BluesKings31001100109150.83310162600441110339392411013726689333.33%12466.67%01622303553.44%1485279953.05%682134450.74%69457322391958.3%9.7%91.1%100.8Unlucky
26BluesCoyotes311010001212040.6671219310045219727333341123016667228.57%8362.50%01622303553.44%1485279953.05%682134450.74%72507022392052.6%12.4%89.3%101.7FUN
27BluesStars32100000156940.66715254001465012545295108830146010220.00%7271.43%01622303553.44%1485279953.05%682134450.74%78556221392176.5%12.0%93.2%105.2LUCKY
28BluesDucks311010001211140.667122234006501123453838211723626910110.00%14285.71%01622303553.44%1485279953.05%682134450.74%72497022371855.0%9.8%90.6%100.4FUN
29BluesSharks311000101310340.6671320330066019031273169524208610330.00%90100.00%01622303553.44%1485279953.05%682134450.74%72476824432150.0%14.4%89.5%103.9FUN
30BluesKraken22000000116541.00011193000362098373031050912558337.50%6266.67%01622303553.44%1485279953.05%682134450.74%56383514281566.7%11.2%88.0%99.2FUN
31BluesGolden Knights3120000078-120.333791600430010939353508827187113215.38%9366.67%01622303553.44%1485279953.05%682134450.74%68457023412050.0%6.4%90.9%97.3Unlucky
_Vs Division2314701100937320310.674931582510141272418273052482704844212166532591728.81%691578.26%01622303553.44%1485279953.05%682134450.74%56038451817130515456.7%11.2%91.4%102.6LUCKY
_Vs Conference4525140321017914336600.667179302481017462394164360552550513153239634810511273225.20%1412780.85%01622303553.44%1485279953.05%682134450.74%1091742101534060430655.9%10.9%90.7%101.6FUN
_Since Last GM Reset77422306321296231651040.67529650580124105108758274998087586440244967558717492335824.89%2454482.04%11622303553.44%1485279953.05%682134450.74%187812681724587104352856.0%10.8%90.6%101.3FUN
Total77422306321296231651040.67529650580124105108758274998087586440244967558717492335824.89%2454482.04%11622303553.44%1485279953.05%682134450.74%187812681724587104352856.0%10.8%90.6%101.3FUN

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 3035
Neutral Zone Start 1344
Defensive Zone Start 2799
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 3789
Faceoffs Lost 3389
Team Average Shots after League Average Shots after
1st Period 12.710.69
2nd Period 24.121.35
3rd Period 35.332.03
Overtime 35.832.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.41.08
2nd Period 2.82.13
3rd Period 3.72.97
Overtime 3.83.07
Even Strenght Goal 235
PP Goal 58
PK Goal 1
Empty Net Goal 2
Home Away
Win 2525
Lost 1211
Overtime Lost 22
PP Attempt 233
PP Goal 58
PK Attempt 245
PK Goal Against 44
Home
Shots For 35.7
Shots Against 31.8
Goals For 3.8
Goals Against 3.0
Hits 22.7
Shots Blocked 8.8
Pim 7.6