SharksSan Jose Sharks
9-11-1, 19pts · 11th 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
1Jake EvansSharksSharks71C2131316-6100254017417.50%819.:.30055000400052.65%52800000.7800
2Dylan StromeSharksSharks17C/RW217815-320207313599.59%122.:.14022000134252.09%64500000.6400
3Alex KillornSharksSharks27LW/RW216612-3160615493511.11%721.:.2922400021042.22%4500000.5300
4Teuvo TeravainenSharksSharks86LW/RW18291102095816413.45%220.:.0112300031053.33%3000000.6100
5Daniel SprongSharksSharks91LW/RW217411-6201643132916.28%217.:.0031400000053.85%2600010.6200
6John MarinoSharksSharks6D2155101135281981126.32%4020.:.4300000057000.00%000000.4600
7Stefan NoesenSharksSharks23RW214610-6100425617387.14%117.:.2112300000152.38%2100000.5500
8Mark GiordanoSharksSharks55D21358-810044162818.75%4021.:.1100000051100.00%000000.3600
9Dmitry OrlovSharksSharks7D2134701604519121515.79%2019.:.081120000000.00%000000.3500
10Connor MurphySharksSharks5D21246-3341066115418.18%2116.:.5100000048000.00%000000.3400
11Kurtis MacDermidSharksSharks23LW/RW/D211562802591811.11%109.:.53101000300037.50%1600000.5800
12Hampus LindholmSharksSharks27D21246-912029237188.70%3222.:.041010004000.00%000000.2600
13Andre BurakovskySharksSharks95LW/RW21235-40010389275.26%313.:.1501100050031.58%1900000.3600
14Carl GrundstromSharksSharks81RW2114522013188135.56%107.:.1200000001033.33%1500000.6600
15Kasperi KapanenSharksSharks42LW/RW21134-820153813372.63%515.:.14011000580050.00%2200000.2500
16Connor DewarSharksSharks24C2130334042581512.00%207.:.40000000101144.29%21000000.3700
17Noel AcciariSharksSharks65C/LW/RW19112-480253113133.23%312.:.18000000530053.47%33100000.1700
18Vladislav GavrikovSharksSharks84D21022-240121380.00%2015.:.3700000046000.00%000000.1200
19Josh BrownSharksSharks44D500000020000.00%000.:.370000003000.00%000000.0000
Team Total or Average3785386139-54155154915721744209.27%20916:231017270004299450.94%190800010.4500
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
1Casey DeSmithSharksSharks1352191.1%3.0856501293250000.0%0813100
2Philipp GrubauerSharksSharks1549089.1%3.7069721433960000.0%0138121
Team Total or Average28911190.0%3.42126322727210000.00002121221
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
1SharksPenguins1010000014-300.00012300010015483032131019000.00%5180.00%038869955.51%41184048.93%17336447.53%181128813525.0%6.7%87.5%94.2Unlucky
2SharksRangers1010000034-100.000347001110331461302710425200.00%20100.00%038869955.51%41184048.93%17336447.53%231422814742.9%9.1%85.2%94.3FUN
3SharksDevils1010000038-500.0003470011102387802914142411100.00%7357.14%038869955.51%41184048.93%17336447.53%231421714728.6%13.0%72.4%85.5FUN
4SharksFlyers1100000020221.00022401101023910403598183133.33%30100.00%038869955.51%41184048.93%17336447.53%2214247126100.0%8.7%100.0%108.7DULL
5SharksJets1100000053221.0005813002120231355042178225120.00%4250.00%038869955.51%41184048.93%17336447.53%191127913680.0%21.7%92.9%114.6LUCKY
6SharksBlues1010000025-300.0002350002002711790367819200.00%3166.67%038869955.51%41184048.93%17336447.53%211423814733.3%7.4%86.1%93.5Unlucky
7SharksRed Wings1100000042221.000471100202027791102510028200.00%000.00%038869955.51%41184048.93%17336447.53%231622714766.7%14.8%92.0%106.8LUCKY
8SharksBlackhawks2100100042241.000461000201159212015351121443600.00%20100.00%038869955.51%41184048.93%17336447.53%49324416281566.7%6.8%96.1%102.9DULL
9SharksBlue Jackets1010000017-600.000123000100269116049151014200.00%5340.00%038869955.51%41184048.93%17336447.53%221423814720.0%3.8%85.7%89.6Unlucky
10SharksWild1010000014-300.0001120010001975703761330000.00%3166.67%038869955.51%41184048.93%17336447.53%181127714625.0%5.3%89.2%94.5Unlucky
11SharksCanucks1010000015-400.0001120010002511311037111024200.00%5260.00%038869955.51%41184048.93%17336447.53%201226813625.0%4.0%86.5%90.5Unlucky
12SharksAvalanche1100000052321.000591400041032411170276619100.00%3166.67%038869955.51%41184048.93%17336447.53%231522714783.3%15.6%92.6%108.2LUCKY
13SharksKings2110000046-220.500471101310039161112080151257500.00%60100.00%038869955.51%41184048.93%17336447.53%42275015271240.0%10.3%92.5%102.8LUCKY
14SharksCoyotes1100000032121.000369002010392199030126293133.33%20100.00%038869955.51%41184048.93%17336447.53%241622713650.0%7.7%93.3%101.0DULL
15SharksStars2110000066020.50061016001320571915230732012527342.86%5180.00%038869955.51%41184048.93%17336447.53%47314615251237.5%10.5%91.8%102.3LUCKY
16SharksDucks2010010068-210.25061117002310813427173722014467342.86%6266.67%038869955.51%41184048.93%17336447.53%49354715251133.3%7.4%88.9%96.3Unlucky
17SharksGolden Knights1010000024-200.00023500101024143703912822300.00%4175.00%038869955.51%41184048.93%17336447.53%211423814640.0%8.3%89.7%98.1Unlucky
_Vs Division614001001323-1030.2501322350174201697544473228584414917317.65%21576.19%038869955.51%41184048.93%17336447.53%1339014748813735.7%7.7%89.9%97.6Unlucky
_Vs Conference1567011003947-8150.500396510401151491425171116132652413811136341819.51%431174.42%038869955.51%41184048.93%17336447.53%3372233611222069946.3%9.2%91.0%100.2FUN
_Since Last GM Reset21811011005372-19190.45253861390220181415722221671776721209157491511019.61%651872.31%038869955.51%41184048.93%17336447.53%47030950316929014044.3%9.3%90.0%99.3FUN
Total21811011005372-19190.45253861390220181415722221671776721209157491511019.61%651872.31%038869955.51%41184048.93%17336447.53%47030950316929014044.3%9.3%90.0%99.3FUN

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 699
Neutral Zone Start 364
Defensive Zone Start 840
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 972
Faceoffs Lost 931
Team Average Shots after League Average Shots after
1st Period 10.610.69
2nd Period 18.521.35
3rd Period 27.032.03
Overtime 27.232.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 1.82.13
3rd Period 2.52.97
Overtime 2.53.07
Even Strenght Goal 43
PP Goal 10
PK Goal 0
Empty Net Goal 0
Home Away
Win 45
Lost 56
Overtime Lost 01
PP Attempt 51
PP Goal 10
PK Attempt 65
PK Goal Against 18
Home
Shots For 27.2
Shots Against 34.3
Goals For 2.5
Goals Against 3.4
Hits 23.4
Shots Blocked 10.0
Pim 7.5