KrakenSeattle Kraken
5-6-2, 12pts · 12th 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
1Pius SuterKrakenKraken15C135510-1201642124211.90%519.:.25404000311150.96%26100000.7900
2Yanni GourdeKrakenKraken71C/LW/RW13178-71810264111292.44%518.:.3612300000051.00%35100000.6600
3Brendan GallagherKrakenKraken11RW13358-620113115289.68%218.:.3703300001021.05%1900000.6600
4Ilya MikheyevKrakenKraken26LW/RW13527-50074793910.64%321.:.27202000340058.82%1700000.5000
5Trevor van RiemsdykKrakenKraken2D13257-24011215109.52%2724.:.2111200031000.00%000000.4400
6Andrew CoppKrakenKraken18C/LW/RW13257140113514225.71%119.:.06033000311052.99%13400000.5600
7Emil HeinemanKrakenKraken78LW/RW13527540171761029.41%309.:.2100000001022.22%900001.1500
8Alex IafalloKrakenKraken19C/LW13336040203511258.57%119.:.06022000300050.00%3000000.4800
9Ryker EvansKrakenKraken41D13066-520040173140.00%1720.:.590220003000.00%000000.4400
10Anthony BeauvillierKrakenKraken12LW/RW131451408285213.57%113.:.0200000000055.00%2000000.5901
11Wyatt KaiserKrakenKraken9D13055280172160.00%1716.:.2300000029000.00%000000.4700
12Matthew PecaKrakenKraken21C10134-1006191105.26%111.:.0400000030039.75%16100000.7200
13Travis HamonicKrakenKraken5D1320201552370028.57%1715.:.4700000028000.00%000000.1900
14Paul CotterKrakenKraken45C/LW11022-38019238220.00%313.:.1501100000018.75%1600000.2701
15Matias MaccelliKrakenKraken56LW/RW13112-3001244234.17%111.:.2100000000033.33%1200000.2700
16Tyson JostKrakenKraken17C10101-400192511.11%108.:.2400000001047.06%10200000.2400
17Erik GudbransonKrakenKraken44D13011-3403112030.00%1719.:.4300000031000.00%000000.0800
18Sam GagnerKrakenKraken18C/RW8000-10003010.00%109.:.4100000020056.94%7200000.0001
19Justin HollKrakenKraken3D13000-400149040.00%1816.:.3000000011000.00%000000.0000
Team Total or Average234325688-3697152794221073147.58%14116:26814220002695148.59%120400000.4603
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 LyonKrakenKraken1045191.7%2.69603202732600166.7%3103100
2Spencer MartinKrakenKraken311192.2%2.951832091160010.0%0310010
Team Total or Average1356291.9%2.7578740364420020.66731313110
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
1KrakenRangers1100000041321.00048120013004817191202186249222.22%20100.00%024749250.20%23250146.31%10619953.27%261720813766.7%8.3%95.2%103.6DULL
2KrakenFlyers1010000001-100.0000000000002196604013813100.00%40100.00%024749250.20%23250146.31%10619953.27%18122881360.0%0.0%97.5%97.5DULL
3KrakenJets1000010045-110.5004711002110432015804911415200.00%20100.00%024749250.20%23250146.31%10619953.27%201327814644.4%9.3%89.8%99.1FUN
4KrakenCapitals1000100032121.00036900110127761313313617500.00%30100.00%024749250.20%23250146.31%10619953.27%221525713660.0%11.1%93.9%105.1LUCKY
5KrakenSenators1010000013-200.00012310100023106703510229000.00%000.00%024749250.20%23250146.31%10619953.27%191226713525.0%4.3%91.4%95.8DULL
6KrakenCanadiens2110000077020.50071219104210641821250733923426116.67%9188.89%024749250.20%23250146.31%10619953.27%42285015261250.0%10.9%90.4%101.3FUN
7KrakenMaple Leafs1000000112-110.50011200100037167125196101610110.00%50100.00%024749250.20%23250146.31%10619953.27%26172491370.0%2.7%89.5%92.2Unlucky
8KrakenBlackhawks1010000014-300.0001120010003410816032111929200.00%7357.14%024749250.20%23250146.31%10619953.27%211425712550.0%2.9%87.5%90.4Unlucky
9KrakenOilers1010000016-500.0001230010002781180348729100.00%110.00%024749250.20%23250146.31%10619953.27%201325714616.7%3.7%82.4%86.1Unlucky
10KrakenDucks1100000043121.0004610001300316141104696274250.00%3166.67%024749250.20%23250146.31%10619953.27%231624711550.0%12.9%93.5%106.4LUCKY
11KrakenSharks1100000041321.000471100202034141460270621500.00%20100.00%024749250.20%23250146.31%10619953.27%261719814780.0%11.8%96.3%108.1LUCKY
12KrakenGolden Knights1010000024-200.0002460001103361710035134176233.33%2150.00%024749250.20%23250146.31%10619953.27%20112681360.0%6.1%88.6%94.6Unlucky
_Vs Division422000001114-340.500111930004430125345635014230239416425.00%8362.50%024749250.20%23250146.31%10619953.27%90599531542638.9%8.8%90.1%98.9Unlucky
_Vs Conference623001001623-750.4171627430075402026479590223524613820420.00%17664.71%024749250.20%23250146.31%10619953.27%1338714847813741.4%7.9%89.7%97.6Unlucky
_Since Last GM Reset1346011013239-7120.46232568820151151422141144134644414110127951815.69%40782.50%024749250.20%23250146.31%10619953.27%2891913251051748242.9%7.6%91.2%98.8DULL
Total1346011013239-7120.46232568820151151422141144134644414110127951815.69%40782.50%024749250.20%23250146.31%10619953.27%2891913251051748242.9%7.6%91.2%98.8DULL

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 25
Puck Time
Offensive Zone Start 492
Neutral Zone Start 199
Defensive Zone Start 501
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 585
Faceoffs Lost 607
Team Average Shots after League Average Shots after
1st Period 10.810.69
2nd Period 21.921.35
3rd Period 32.232.03
Overtime 32.732.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.21.08
2nd Period 2.02.13
3rd Period 2.42.97
Overtime 2.53.07
Even Strenght Goal 22
PP Goal 8
PK Goal 0
Empty Net Goal 2
Home Away
Win 41
Lost 33
Overtime Lost 02
PP Attempt 51
PP Goal 8
PK Attempt 40
PK Goal Against 7
Home
Shots For 32.5
Shots Against 34.2
Goals For 2.5
Goals Against 3.0
Hits 21.5
Shots Blocked 10.8
Pim 7.8