St-Louis Blues
48-21-7, 103pts · 4th in Ouest
STATISTIQUE
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Jack EichelBluesBluesC/LW/RW76485098192005741810732311.48%2621.0310162620700015010353.50%188800011.2313
2Mark ScheifeleBluesBluesC/LW/RW762439631882301552165718811.11%1018.713101320000016152.14%79400000.8900
3Mikko RantanenBluesBluesLW/RW7628326021280116307671979.12%519.29591420700006042.48%11300000.8213
4Devon ToewsBluesBluesD761640562041572124359512.90%11124.029817209000162320.00%000100.6100
5Miro HeiskanenBluesBluesD743485113300839929553.03%9423.7621214198000140100.00%000000.5800
6Anthony CirelliBluesBluesC/LW/RW762024442720096202631309.90%1517.1500050001922052.77%157300000.6800
7Travis SanheimBluesBluesD761034442844014110427709.62%10922.62268162000152300.00%000000.5100
8Patrik LaineBluesBluesLW/RW7620204020160411735612211.56%918.4325716000066236.11%10800010.5702
9Mikael GranlundBluesBluesC/LW/RW6410253558070152471006.58%915.0525713800083054.03%93100100.7300
10Kirill MarchenkoBluesBluesRW761616322740481484711210.81%514.160116900001032.47%7700000.5900
11Brady SkjeiBluesBluesD686222818320918520587.06%10420.8942614400064000.00%000000.3900
12Cam YorkBluesBluesD6462026-5280647417418.11%5915.19101380004210.00%000000.5300
13Nikolaj EhlersBluesBluesLW/RW58139221011550114267611.40%617.97404135000101032.81%6400000.4200
14Calvin De HaanBluesBluesD703141754001023213319.38%7114.790005000115100.00%000000.3300
15Tyson Foerster (R)BluesWolves (STL)C/RW59841222915519215458.70%210.770001400000046.00%5000000.3800
16Thomas NovakBluesBluesC/LW/RW34461052064112319.76%610.29000000000050.00%1600000.5700
17Trevor LewisBluesBluesC/RW754610-1010034469388.70%89.2000000001881052.31%6500000.2900
18Shane PintoBluesBluesC/LW/RW44167-260317316581.37%811.38000100090053.66%4100000.2800
19Luke GlendeningBluesBluesC/RW76314-15100515215335.77%108.1700000001220157.60%74300000.1300
20Dmitri Voronkov (R)BluesWolves (STL)C/RW200000002000.00%06.020000000000100.00%100000.0000
Moyenne d'équipe1296243416659206461551359255467818039.51%66716.83447411819000001332461052.69%646400220.6028
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Thatcher DemkoBluesBlues64371950.9162.6337374316419540400.8899638830
2Cayden PrimeauBluesBlues1611220.9252.0684502293850100.00001355200
Moyenne d'équipe 804821 7 0.9172.5345824519323390500.889976631030
Astuces sur les Filtres (Anglais seulement)
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 Équipe 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
1BruinsBruins1010000012-100.00011200001028513100257018100.00%000.00%01488272854.55%1311255651.29%614116752.61%231624712633.3%3.6%92.0%95.6DULL
2RangersRangers1100000051421.00059140011304212131702596102150.00%30100.00%01488272854.55%1311255651.29%614116752.61%251921712580.0%11.9%96.0%107.9LUCKY
3PredatorsPredators523000001116-540.400111930004250174606153018849241121218.33%100100.00%01488272854.55%1311255651.29%614116752.61%1238811534613138.5%6.3%91.5%97.8DULL
4Red WingsRed Wings1100000053221.00059140012204613151802961018100.00%5180.00%01488272854.55%1311255651.29%614116752.61%251721813771.4%10.9%89.7%100.5FUN
5JetsJets422000001413140.500142539005540143404756013141147014321.43%7185.71%01488272854.55%1311255651.29%614116752.61%96689229512547.8%9.8%90.1%99.9FUN
6HurricanesHurricanes1000010012-110.500112000010298129040111314200.00%30100.00%01488272854.55%1311255651.29%614116752.61%221425712633.3%3.4%95.0%98.4DULL
7CapitalsCapitals1100000061521.000610160021303510131201658163133.33%40100.00%01488272854.55%1311255651.29%614116752.61%271918814783.3%17.1%93.8%110.9LUCKY
8CanadiensCanadiens1000010023-110.500246001010481018191387417400.00%2150.00%01488272854.55%1311255651.29%614116752.61%272123711550.0%4.2%92.1%96.3DULL
9LightningLightning1100000043121.0004711002110301081203694275120.00%2150.00%01488272854.55%1311255651.29%614116752.61%261921612660.0%13.3%91.7%105.0LUCKY
10FlyersFlyers1100000042221.000471100211025119503091019000.00%5180.00%01488272854.55%1311255651.29%614116752.61%221523813680.0%16.0%93.3%109.3LUCKY
11SharksSharks3300000061561.0006111702132011134403707027225810110.00%110100.00%01488272854.55%1311255651.29%614116752.61%77536421371983.3%5.4%98.6%104.0DULL
12Black HawksBlack Hawks521010102116580.800213455007752181586654618455309414321.43%13469.23%01488272854.55%1311255651.29%614116752.61%1339610633643460.0%11.6%91.3%102.9LUCKY
13AvalancheAvalanche532000001713460.600173047001025017170534801594930931516.67%14471.43%01488272854.55%1311255651.29%614116752.61%1218611834592964.0%9.9%91.8%101.8LUCKY
14DucksDucks41200100912-330.37591625003330131484637012532288014321.43%14285.71%01488272854.55%1311255651.29%614116752.61%100719227482637.5%6.9%90.4%97.3Unlucky
15OilersOilers431000001411360.750142438004730112383935011145206614321.43%40100.00%01488272854.55%1311255651.29%614116752.61%92649628512550.0%12.5%90.1%102.6FUN
16Maple LeafsMaple Leafs1010000034-100.00035800210028131050277413400.00%20100.00%01488272854.55%1311255651.29%614116752.61%241722612642.9%10.7%85.2%95.9FUN
17CanucksCanucks312000001011-120.3331016260043308728342501052727569333.33%60100.00%01488272854.55%1311255651.29%614116752.61%71506922391938.9%11.5%89.5%101.0FUN
18WildWild66000000231112121.000234467015108020056885601264542998112.50%16568.75%01488272854.55%1311255651.29%614116752.61%15511212941753878.6%11.5%91.3%102.8LUCKY
19KingsKings43100000159660.75015264100555013454374301154218668225.00%9277.78%01488272854.55%1311255651.29%614116752.61%97699128512565.0%11.2%92.2%103.4LUCKY
20Golden KnightsGolden Knights521001011211160.600122133004440158444466715441288219526.32%14285.71%01488272854.55%1311255651.29%614116752.61%1258811835633243.8%7.6%92.9%100.5DULL
21StarsStars440000001661081.00016264201745014753484601312630668225.00%130100.00%01488272854.55%1311255651.29%614116752.61%105768627472470.0%10.9%95.4%106.3LUCKY
22FlamesFlames430000102011981.000203353005771152463663910934166919736.84%8187.50%01488272854.55%1311255651.29%614116752.61%104738727532856.5%13.2%89.9%103.1FUN
23DevilsDevils1100000032121.0003470030003618612046158182150.00%40100.00%01488272854.55%1311255651.29%614116752.61%241724610550.0%8.3%95.7%104.0DULL
24PanthersPanthers1010000012-100.0001230000104514181301911817600.00%4175.00%01488272854.55%1311255651.29%614116752.61%261821612750.0%2.2%89.5%91.7Unlucky
25IslandersIslanders2100010076130.75071017001330732524213752030325120.00%10190.00%01488272854.55%1311255651.29%614116752.61%46314914271354.5%9.6%92.0%101.6LUCKY
26PenguinsPenguins4220000069-340.5006121801150012440424201153625861700.00%10280.00%01488272854.55%1311255651.29%614116752.61%98689328482446.2%4.8%92.2%97.0DULL
27KrakenKraken311001001213-130.50012203200336011134334131102718659444.44%40100.00%01488272854.55%1311255651.29%614116752.61%73526822391938.1%10.8%88.2%99.0FUN
_Vs Division29198010101027527420.72410217828002383032210163373633136919265170534711115.49%731480.82%01488272854.55%1311255651.29%614116752.61%73552864920036018359.9%10.0%91.8%101.9LUCKY
_Vs Conference5936160132120015446820.695200345545046765653201266367266025181854034710761733922.54%1432185.31%01488272854.55%1311255651.29%614116752.61%14771051133841474538154.8%9.9%91.5%101.5LUCKY
_Since Last GM Reset76452101621248194541030.678248426674058380823260185287385529233969247713812254419.56%1972985.28%01488272854.55%1311255651.29%614116752.61%18981347173053895849055.3%9.5%91.7%101.2LUCKY
Total76452101621248194541030.678248426674058380823260185287385529233969247713812254419.56%1972985.28%01488272854.55%1311255651.29%614116752.61%18981347173053895849055.3%9.5%91.7%101.2LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 22
Puck Time
Offensive Zone Start 2728
Neutral Zone Start 1167
Defensive Zone Start 2556
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 3413
Faceoffs Lost 3038
Team Average Shots after League Average Shots after
1st Period 11.29.57
2nd Period 22.720.31
3rd Period 33.930.68
Overtime 34.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 3.22.67
Overtime 3.32.83
Even Strenght Goal 204
PP Goal 44
PK Goal 0
Empty Net Goal 0
Home Away
Win 2523
Lost 1011
Overtime Lost 61
PP Attempt 225
PP Goal 44
PK Attempt 197
PK Goal Against 29
Home
Shots For 34.2
Shots Against 30.8
Goals For 3.3
Goals Against 2.6
Hits 18.2
Shots Blocked 9.1
Pim 6.3