Seattle Kraken
47-28-3, 97pts · 5th 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
1Valeri NichushkinKrakenKrakenLW/RW784245872032014536811426411.41%915.549162522000028232.56%8600001.4400
2Anze KopitarKrakenKrakenC783252843839577322902549.94%2320.3477142041012217258.44%218700001.0600
3Jake GuentzelKrakenKrakenLW/RW7829518032300792758622210.55%617.489112021100053033.60%12500001.1722
4Jared McCannKrakenKrakenC/LW7832457737360832726619211.76%717.734812199000335241.60%12500001.1112
5Dylan StromeKrakenKrakenC781945642140161775413310.73%615.654131721700003256.26%159800001.0500
6Brock NelsonKrakenKrakenC/LW7820294916180481864512510.75%614.84481219700000153.75%58600000.8512
7Adam PelechKrakenKrakenD78102939855259711238808.93%9121.284101421000020120.00%000000.4700
8Tyler MyersKrakenKrakenD7873138986101538933537.87%12322.71448142000190110.00%000000.4300
9Ben ChiarotKrakenKrakenD784273111107152246920475.80%14620.9002245000217200.00%000000.3800
10Eeli TolvanenKrakenKrakenLW/RW72111627-544012212540798.80%911.771122500003234.04%4700000.6400
11Daniel SprongKrakenKrakenLW/RW781214263201914650998.22%212.981347600002038.98%5900000.5100
12Rasmus RistolainenKrakenKrakenD754222621215766619316.06%8518.68044192011213010.00%000000.3700
13Alexander KerfootKrakenKrakenC/LW7881523-21603014750985.44%1612.260004000961150.46%119100000.4800
14Dante FabbroKrakenKrakenD72320231180334218297.14%8419.090115600077100.00%000000.3300
15Robby FabbriKrakenKrakenC/LW35108189602264103515.63%312.210001000162235.29%3400000.8400
16Connor BrownKrakenKrakenLW/RW788816-1840209449788.51%2112.4500000112242226.53%9800000.3300
17Logan StanleyKrakenKrakenD58211132664101173114186.45%6415.8700022011130100.00%000000.2800
18Artem ZubKrakenPalm Springs (SEA)D273811-4180423913237.69%5018.953477400074000.00%000000.4300
19Zemgus GirgensonsKrakenKrakenC/LW/RW78459-1838101004922418.16%512.40011120112101046.25%8000000.1900
20Pius SuterKrakenPalm Springs (SEA)C/RW31527-6202244123311.36%211.640006101621045.00%38000000.3900
Moyenne d'équipe1384265483748180630801525271784319349.75%75816.43509314321222461797442053.06%659600000.6646
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
1Jeremy SwaymanKrakenKraken64392020.9142.68374310316719480310.0000636343
2David RittichKrakenKraken146610.8893.9172200474250010.66731246000
Moyenne d'équipe 784526 3 0.9102.88446510321423730320.66737552343
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
1SabresSabres1100000062421.00061016002220419181402554323133.33%20100.00%01501284652.74%1421279150.91%685126454.19%251820613771.4%14.6%92.0%106.6LUCKY
2BruinsBruins1100000032121.0003690011104418131302354173133.33%20100.00%01501284652.74%1421279150.91%685126454.19%292218512650.0%6.8%91.3%98.1DULL
3RangersRangers1010000014-300.000112000100323191003314820200.00%40100.00%01501284652.74%1421279150.91%685126454.19%241723611520.0%3.1%87.9%91.0Unlucky
4PredatorsPredators421010001513260.75015274210932116447585361465022771815.56%10370.00%01501284652.74%1421279150.91%685126454.19%94669730522558.3%9.1%91.1%100.2Unlucky
5Red WingsRed Wings1100000051421.0005914002210339131102432174125.00%10100.00%01501284652.74%1421279150.91%685126454.19%251822712680.0%15.2%95.8%111.0LUCKY
6JetsJets31101000118340.66711203101325110733383331092026559333.33%13192.31%11501284652.74%1421279150.91%685126454.19%72497322381953.3%10.3%92.7%102.9LUCKY
7HurricanesHurricanes1100000063321.00061016002220351011140401714193266.67%7271.43%01501284652.74%1421279150.91%685126454.19%181229711580.0%17.1%92.5%109.6LUCKY
8CapitalsCapitals1100000042221.0004711002020317111302142212150.00%10100.00%01501284652.74%1421279150.91%685126454.19%261921612660.0%12.9%90.5%103.4FUN
9CanadiensCanadiens1000010012-110.500112001000341191402811621700.00%3166.67%01501284652.74%1421279150.91%685126454.19%251723813650.0%2.9%92.9%95.8DULL
10LightningLightning1010000036-300.0003580011103614101204461718800.00%6350.00%01501284652.74%1421279150.91%685126454.19%251622712650.0%8.3%86.4%94.7Unlucky
11SharksSharks51400000716-920.20071421003220174635457015446431141700.00%18477.78%01501284652.74%1421279150.91%685126454.19%1289111135592936.8%4.0%89.6%93.6Unlucky
12Black HawksBlack Hawks30200100613-710.167611170021309229273601023935561317.69%15473.33%01501284652.74%1421279150.91%685126454.19%70467122381935.7%6.5%87.3%93.8Unlucky
13AvalancheAvalanche431000001412260.750142539004460148584644012731316414535.71%12283.33%01501284652.74%1421279150.91%685126454.19%96689229512547.4%9.5%90.6%100.0FUN
14DucksDucks522010001415-160.600142741003821159426551117972579819526.32%25388.00%01501284652.74%1421279150.91%685126454.19%1066912837663242.9%8.8%91.6%100.4DULL
15OilersOilers523000001515040.400152540006450166645151019048581009111.11%19573.68%01501284652.74%1421279150.91%685126454.19%1127712536622958.3%9.0%92.1%101.1LUCKY
16SenateursSenateurs1100000042221.0004711001120265813034141822200.00%40100.00%01501284652.74%1421279150.91%685126454.19%201325813666.7%15.4%94.1%109.5LUCKY
17Maple LeafsMaple Leafs1100000032121.000369001200381591402615813500.00%4175.00%01501284652.74%1421279150.91%685126454.19%261820712775.0%7.9%92.3%100.2DULL
18CanucksCanucks412001001112-130.3751121320052401233638472104483310210330.00%14378.57%01501284652.74%1421279150.91%685126454.19%94659828482347.1%8.9%88.5%97.4Unlucky
19WildWild440000001921781.000193554025104013847395208516238311218.18%9188.89%01501284652.74%1421279150.91%685126454.19%97688830542694.4%13.8%97.6%111.4LUCKY
20BluesBlues311010001312140.6671322350045311102931482111302864400.00%9455.56%01501284652.74%1421279150.91%685126454.19%68467321391961.9%11.8%89.2%101.0FUN
21KingsKings75100010352510120.857356499001217522627885966232687015120630.00%25484.00%11501284652.74%1421279150.91%685126454.19%17011916651874258.0%13.4%89.2%102.6FUN
22Golden KnightsGolden Knights5410000020101080.800203959004970186606660016144516727725.93%21290.48%01501284652.74%1421279150.91%685126454.19%1218311339653261.9%10.8%93.8%104.5LUCKY
23StarsStars614010001621-540.333162945007351191815155419965461346116.67%23386.96%01501284652.74%1421279150.91%685126454.19%1298815243793645.5%8.4%89.4%97.8Unlucky
24FlamesFlames522000101818060.600183048104492167525556716440289618422.22%12466.67%01501284652.74%1421279150.91%685126454.19%1188312138653150.0%10.8%89.0%99.8FUN
25DevilsDevils1000100054121.0005813002021421713111321510242150.00%5180.00%01501284652.74%1421279150.91%685126454.19%251722713657.1%11.9%87.5%99.4FUN
26PanthersPanthers2200000085341.000815230060208527223605911125011218.18%50100.00%01501284652.74%1421279150.91%685126454.19%47334615251254.5%9.4%91.5%100.9LUCKY
27IslandersIslanders1100000042221.00048120013002451180187023300.00%000.00%01501284652.74%1421279150.91%685126454.19%261821612766.7%16.7%88.9%105.6FUN
28PenguinsPenguins1010000023-100.00024600101043141118038156186233.33%3166.67%01501284652.74%1421279150.91%685126454.19%22152481250.0%4.7%92.1%96.8DULL
_Vs Division361715011201201119410.56912022034010374634512373954144181611843663407281202621.67%1342581.34%11501284652.74%1421279150.91%685126454.19%85259186526745522252.2%9.7%90.6%100.3FUN
_Vs Conference6329250522021419222740.587214389603237174629218771970473931206361755112611953920.00%2254380.89%21501284652.74%1421279150.91%685126454.19%14801024151446780939454.0%9.8%90.7%100.5FUN
_Since Last GM Reset7839280632026923237970.6222694867552394897810273188388294032250875966215762565019.53%2725280.88%21501284652.74%1421279150.91%685126454.19%18511284185757799949154.9%9.8%90.7%100.6FUN
Total7839280632026923237970.6222694867552394897810273188388294032250875966215762565019.53%2725280.88%21501284652.74%1421279150.91%685126454.19%18511284185757799949154.9%9.8%90.7%100.6FUN

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2846
Neutral Zone Start 1264
Defensive Zone Start 2791
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3607
Faceoffs Lost 3294
Team Average Shots after League Average Shots after
1st Period 11.39.57
2nd Period 22.620.31
3rd Period 34.730.68
Overtime 35.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.20.64
2nd Period 2.31.65
3rd Period 3.32.67
Overtime 3.52.83
Even Strenght Goal 215
PP Goal 50
PK Goal 2
Empty Net Goal 2
Home Away
Win 2819
Lost 919
Overtime Lost 21
PP Attempt 256
PP Goal 50
PK Attempt 272
PK Goal Against 52
Home
Shots For 35.0
Shots Against 32.2
Goals For 3.4
Goals Against 3.0
Hits 20.2
Shots Blocked 9.7
Pim 8.5