KrakenSeattle Kraken
3-16-1, 7pts · 16th in Western Conference
Player Stats
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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
1Blake WheelerKrakenKraken14RW195712020176216338.06%316.:.1101100001050.00%3200000.7800
2Logan CooleyKrakenKraken13C207512-10003054174212.96%517.:.5330300080045.43%46000000.6700
3Trevor van RiemsdykKrakenKraken2D202810-114026305216.67%4024.:.4902200045000.00%000100.4000
4Alex IafalloKrakenKraken19C/LW203710-1220236116384.92%620.:.07112101480036.96%4600000.5000
5Pius SuterKrakenKraken15C161910220205112231.96%519.:.45000011400049.17%48200000.6300
6Will CuylleKrakenKraken20LW20279-3200553514245.71%213.:.1600000000034.78%2300000.6800
7Ethan BearKrakenKraken4D20178-8120342110144.76%3120.:.2202200046000.00%000000.3900
8Brendan GallagherKrakenKraken11RW20257-1115313714275.41%115.:.3800000000025.00%2400000.4500
9Tanner PearsonKrakenKraken16LW17527-420273292715.63%214.:.13000000311037.50%1600000.5800
10Justin HollKrakenKraken3D20246-11195482310118.70%2821.:.1201100039000.00%000000.2800
11Travis HamonicKrakenKraken5D8134-4602372714.29%1320.:.450000008000.00%000000.4800
12Anthony BeauvillierKrakenKraken12LW/RW20224-62010339126.06%211.:.5900000010044.44%2700000.3300
13Sam GagnerKrakenKraken18C/RW20314-94022942110.34%109.:.5400000000136.36%1100000.4000
14Uvis BalinskisKrakenKraken7D20224-412037122216.67%2315.:.4800000013000.00%000000.2500
15Travis BoydKrakenKraken17C/RW20123-170010307173.33%314.:.0400000000025.00%2800000.2100
16Wyatt KaiserKrakenKraken9D11202-1801554240.00%2120.:.5800000034110.00%000000.1700
17Will ButcherKrakenKraken8D11011-70041010.00%1316.:.1500000012000.00%000000.1100
18Tyson JostKrakenKraken17C20101-420151510186.67%010.:.2700000070043.07%26700000.1000
19Matthew PecaKrakenKraken21C20101-12609273183.70%712.:.55000000460047.09%36100000.0800
20Nick SwaneyKrakenKraken22RW401100041020.00%016.:.2300000050039.13%9200000.3000
21Jake ChristiansenKrakenKraken73D100000011010.00%018.:.210000000000.00%000000.0000
22John LudvigKrakenKraken72D5000-5215142000.00%515.:.390000000000.00%000000.0000
23Marat KhusnutdinovKrakenFirebirds (SEA)95C/LW3000-10013240.00%011.:.1200000090033.33%300000.0000
24Pavol RegendaKrakenFirebirds (SEA)87LW/RW100000030000.00%008.:.360000000000.00%000000.0000
Team Total or Average3524373116-127135154555691643617.56%21116:2447111123913245.10%186900100.4000
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
1Alex LyonKrakenKraken1229191.9%3.2071300384670020.0%0128210
2Spencer MartinKrakenKraken817088.2%4.1547740332800010.0%0812001
Team Total or Average20316190.5%3.58119040717470030.00002020211
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
1KrakenIslanders1100000042221.0004610001030341111120459829000.00%40100.00%131268845.35%38084544.97%15233844.97%181128813566.7%11.8%95.6%107.3LUCKY
2KrakenRangers1010000026-400.0002460010102084803612826200.00%4250.00%031268845.35%38084544.97%15233844.97%191125814733.3%10.0%83.3%93.3FUN
3KrakenFlyers1010000024-200.0002350020002711970282222300.00%10100.00%031268845.35%38084544.97%15233844.97%221422814633.3%7.4%85.7%93.1Unlucky
4KrakenHurricanes1010000036-300.00036900012028281803811619200.00%30100.00%031268845.35%38084544.97%15233844.97%201125814633.3%10.7%84.2%94.9FUN
5KrakenJets1010000015-400.000123000100361871103910422000.00%2150.00%031268845.35%38084544.97%15233844.97%181127713620.0%2.8%87.2%90.0Unlucky
6KrakenBruins1010000002-200.000000100000291113503210423000.00%20100.00%031268845.35%38084544.97%15233844.97%21142581250.0%0.0%93.8%93.8DULL
7KrakenSenators1010000023-100.00023500002028791203046244125.00%30100.00%031268845.35%38084544.97%15233844.97%221324713625.0%7.1%90.0%97.1Unlucky
8KrakenCanadiens1100000064221.00061117001320391013160281314182150.00%20100.00%031268845.35%38084544.97%15233844.97%211323814655.6%15.4%85.7%101.1FUN
9KrakenMaple Leafs1010000002-200.00000010000025611803213615400.00%3166.67%031268845.35%38084544.97%15233844.97%22152571250.0%0.0%93.8%93.8DULL
10KrakenBlues1010000035-200.000369000210245118054148194125.00%4175.00%031268845.35%38084544.97%15233844.97%16928914633.3%12.5%90.7%103.2FUN
11KrakenBlackhawks1010000023-100.000246002000271151102331023300.00%5180.00%031268845.35%38084544.97%15233844.97%261719814750.0%7.4%87.0%94.4Unlucky
12KrakenBlue Jackets1010000025-300.000246000200204106056233323100.00%8275.00%031268845.35%38084544.97%15233844.97%181028713640.0%10.0%91.1%101.1Unlucky
13KrakenPredators2020000037-400.0003580002104614191307422447900.00%20100.00%031268845.35%38084544.97%15233844.97%42274917281430.0%6.5%90.5%97.1Unlucky
14KrakenWild1010000046-200.00047110031002295805015426100.00%10100.00%031268845.35%38084544.97%15233844.97%181228812540.0%18.2%88.0%106.2FUN
15KrakenFlames1010000012-100.00012300100024671103712424100.00%20100.00%031268845.35%38084544.97%15233844.97%211425713633.3%4.2%94.6%98.8DULL
16KrakenAvalanche2110000045-120.50047110013006216182806720846500.00%40100.00%031268845.35%38084544.97%15233844.97%45294815261244.4%6.5%92.5%99.0DULL
17KrakenStars1010000013-200.000123101000502681602894266116.67%2150.00%031268845.35%38084544.97%15233844.97%27192061260.0%2.0%89.3%91.3Unlucky
18KrakenGolden Knights1000010034-110.500358001020366121805312833100.00%40100.00%031268845.35%38084544.97%15233844.97%211426712642.9%8.3%92.5%100.8DULL
_Vs Division2010010046-210.250471100202060121929090241257200.00%60100.00%031268845.35%38084544.97%15233844.97%42285115261240.0%6.7%93.3%100.0DULL
_Vs Conference1119001002240-1830.136224062109940327111921240425117542663026.67%26484.62%031268845.35%38084544.97%15233844.97%237155273881497235.7%6.7%90.6%97.3Unlucky
_Since Last GM Reset20316001004374-3170.175437712030141514057718118021607502141414654848.33%56983.93%131268845.35%38084544.97%15233844.97%42527450316327112937.5%7.5%90.1%97.6Unlucky
Total20316001004374-3170.175437712030141514057718118021607502141414654848.33%56983.93%131268845.35%38084544.97%15233844.97%42527450316327112937.5%7.5%90.1%97.6Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 13
Defensive Zone 25
Puck Time
Offensive Zone Start 688
Neutral Zone Start 338
Defensive Zone Start 845
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 844
Faceoffs Lost 1027
Team Average Shots after League Average Shots after
1st Period 9.110.69
2nd Period 18.121.35
3rd Period 28.932.03
Overtime 28.932.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.71.08
2nd Period 1.52.13
3rd Period 2.22.97
Overtime 2.23.07
Even Strenght Goal 35
PP Goal 4
PK Goal 1
Empty Net Goal 3
Home Away
Win 12
Lost 106
Overtime Lost 10
PP Attempt 48
PP Goal 4
PK Attempt 56
PK Goal Against 9
Home
Shots For 28.9
Shots Against 37.5
Goals For 2.2
Goals Against 3.7
Hits 23.3
Shots Blocked 10.7
Pim 7.1