SharksSan Jose Sharks
16-23-11, 43pts · 14th 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 NeighboursSharksSharks63LW/RW50162945-84010109189571458.47%921.:.4508800001141.25%8000000.8314
2Vladislav GavrikovSharksSharks84D50122133-84006668245517.65%10824.:.33538011166410.00%000000.5400
3Zachary BolducSharksSharks16RW50132033-128070168481117.74%721.:.2143700001123.29%7300000.6212
4Ryan HartmanSharksSharks0C/RW42131730-516057103277412.62%521.:.4415600031349.48%124500000.6601
5Stefan NoesenSharksSharks23RW50131326-840090126508010.32%1119.:.102571011093146.67%15000000.5401
6David PerronSharksSharks50LW/RW4391221-540309423799.57%415.:.4823500000047.73%4400000.6214
7Connor MurphySharksSharks5D4511516-227115137314253.23%8920.:.45000000146000.00%000000.3400
8Lukas ReichelSharksSharks0LW5051015-22047117397.04%408.:.2943700000043.75%6400000.7102
9Connor DewarSharksSharks24C455914-6140819310595.38%1417.:.310110001601046.95%118000000.3500
10Hampus LindholmSharksSharks27D4621214-5803617122811.76%4314.:.1400000038010.00%000000.4300
11Dmitry OrlovSharksSharks7D475914-45201095621418.93%8722.:.50415000105100.00%000000.2600
12Dakota JoshuaSharksSharks0C/LW474913-162551248626764.65%714.:.321450001111144.21%88900000.3800
13John MarinoSharksSharks6D473811-20602430141310.00%8820.:.21000000167000.00%000000.2300
14Andre BurakovskySharksSharks95LW/RW483811-1300211030782.73%312.:.59055000210041.38%2900000.3500
15Robert BortuzzoSharksSharks41D462911-351151031991410.53%3813.:.210000004000.00%000000.3600
16Jakub VranaSharksSharks15LW/RW44639-34062681923.08%106.:.3200000020044.44%1800000.6303
17Klim KostinSharksSharks24C/LW/RW46246512055237168.70%007.:.57000000330142.50%44000000.3300
18Kasperi KapanenSharksSharks42LW/RW50426-1260166418496.25%513.:.310000001840049.28%6900000.1801
19Oliver KapanenSharksBarracuda (SJS)0C8213-60031661212.50%320.:.58000000261042.92%21900000.3600
20Carl GrundstromSharksSharks81RW14022-320218480.00%410.:.0700000000038.46%1300000.2800
21Justin BarronSharksBarracuda (SJS)52D9022-1100199450.00%919.:.2500000013000.00%000000.2300
22Calen AddisonSharksSharks2D11011240165330.00%1016.:.0100000019000.00%000000.1100
23Kurtis MacDermidSharksSharks23LW/RW/D2000-20032000.00%010.:.440000000000.00%100000.0000
24Alexander PetrovicSharksBarracuda (SJS)50D1000-12020010.00%117.:.090000001000.00%000000.0000
Team Total or Average873118213331-150405451159138941210128.50%53716:262341641121276131046.05%429500000.46318
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
1Tristan JarrySharksSharks32914790.4%3.2518282199103100183.3%63119212
2Ville HussoSharksSharks2078492.3%2.821151225469702084.6%131831212
3Philipp GrubauerSharksSharks101085.7%4.0060004280000.0%010000
Team Total or Average5316231191.1%3.1030394315717560210.842195050424
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
1SharksPenguins2010010037-410.250369002100541524150721929388225.00%9188.89%0830176247.11%909193247.05%34176144.81%45285018261214.3%5.6%90.3%95.8Unlucky
2SharksIslanders1000010045-110.50048120021102614480441314395360.00%7185.71%0830176247.11%909193247.05%34176144.81%201326712620.0%15.4%88.6%104.0FUN
3SharksRangers2000020068-220.50061016001410542117106802120459111.11%10280.00%1830176247.11%909193247.05%34176144.81%45274917281445.5%11.1%90.0%101.1FUN
4SharksDevils2110000056-120.5005914002030651725230802012452150.00%6266.67%0830176247.11%909193247.05%34176144.81%39265316261250.0%7.7%92.5%100.2DULL
5SharksFlyers1000001054121.00058130011223061667307813500.00%4175.00%0830176247.11%909193247.05%34176144.81%241523916862.5%16.7%86.7%103.3FUN
6SharksHurricanes2200000093641.0009162500117080201941036910569222.22%50100.00%0830176247.11%909193247.05%34176144.81%53353815281570.0%11.3%91.7%102.9LUCKY
7SharksLightning20100001410-610.2504711004000551912239811725464125.00%100100.00%0830176247.11%909193247.05%34176144.81%42265317291323.1%7.3%87.7%94.9Unlucky
8SharksJets1010000013-200.000123000100277614034141031200.00%50100.00%0830176247.11%909193247.05%34176144.81%211425712525.0%3.7%91.2%94.9DULL
9SharksCapitals2110000034-120.500369011200481816140553417483133.33%6183.33%0830176247.11%909193247.05%34176144.81%45294714271340.0%6.3%92.7%99.0DULL
10SharksPanthers20200000413-900.000461000103070142135095252064600.00%10190.00%0830176247.11%909193247.05%34176144.81%42275014261225.0%5.7%86.3%92.0Unlucky
11SharksBruins1000010034-110.500369001200195113036131326200.00%4175.00%0830176247.11%909193247.05%34176144.81%211324814650.0%15.8%88.9%104.7FUN
12SharksSenators1010000012-100.0001230010002510870309622200.00%3166.67%0830176247.11%909193247.05%34176144.81%221422814650.0%4.0%93.3%97.3DULL
13SharksMaple Leafs1100000052321.00058130022102484120297424300.00%20100.00%0830176247.11%909193247.05%34176144.81%201325713671.4%20.8%93.1%113.9LUCKY
14SharksRed Wings2100010066030.750611170013206015202417733655100.00%30100.00%0830176247.11%909193247.05%34176144.81%45284916301550.0%10.0%92.2%102.2LUCKY
15SharksBlue Jackets1100000010121.00012301010032127130319724200.00%10100.00%0830176247.11%909193247.05%34176144.81%1911268136100.0%3.1%100.0%103.1DULL
16SharksWild31200000810-220.333814220012508526253401113324538225.00%11372.73%0830176247.11%909193247.05%34176144.81%63417524411846.2%9.4%91.0%100.4FUN
17SharksFlames2110000046-220.5004812003100531621160632418424125.00%9188.89%0830176247.11%909193247.05%34176144.81%44284815271437.5%7.5%90.5%98.0Unlucky
18SharksCanucks2010010036-310.250358000120441610180612116504125.00%8187.50%0830176247.11%909193247.05%34176144.81%40245417261228.6%6.8%90.2%97.0Unlucky
19SharksAvalanche2010100056-120.5005914001121672026192752223507228.57%8275.00%0830176247.11%909193247.05%34176144.81%46305016271342.9%7.5%92.0%99.5DULL
20SharksKings30101001811-330.5008152300205162202119510538306411218.18%15473.33%0830176247.11%909193247.05%34176144.81%63398126411946.2%12.9%89.5%102.4FUN
21SharksMammoth3120000055020.33359140104108021293001072816701000.00%8187.50%0830176247.11%909193247.05%34176144.81%65437524391955.6%6.3%95.3%101.6DULL
22SharksStars3120000067-120.333610160013208818274301134816589111.11%70100.00%0830176247.11%909193247.05%34176144.81%64417423412041.7%6.8%93.8%100.6DULL
23SharksDucks2010010046-210.25048120011206119132816916193710110.00%70100.00%0830176247.11%909193247.05%34176144.81%47304918261233.3%6.6%91.3%97.9DULL
24SharksKraken31100100911-230.500917260034208225372001092930844250.00%140100.00%0830176247.11%909193247.05%34176144.81%65397025442138.9%11.0%89.9%100.9FUN
25SharksGolden Knights403000101015-520.25010152510324112634385331343828100700.00%13376.92%0830176247.11%909193247.05%34176144.81%98679131552645.5%7.9%88.8%96.7Unlucky
_Vs Division1628013113855-17120.375386810610129152428130140154954116614137740717.50%66986.36%0830176247.11%909193247.05%34176144.81%35923039513522210740.3%8.9%89.8%98.7Unlucky
_Vs Conference28516023116386-23200.3576311217511152025377522225329411981311230639761215.79%1051585.71%0830176247.11%909193247.05%34176144.81%62140169723238418541.8%8.1%91.2%99.4DULL
_Since Last GM Reset50122302922122160-38430.430122217339133538455141741645752834175754742111841372316.79%1852685.95%1830176247.11%909193247.05%34176144.81%1112715123941269233542.5%8.6%90.9%99.5Unlucky
Total50122302922122160-38430.430122217339133538455141741645752834175754742111841372316.79%1852685.95%1830176247.11%909193247.05%34176144.81%1112715123941269233542.5%8.6%90.9%99.5Unlucky

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 1762
Neutral Zone Start 761
Defensive Zone Start 1932
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 2080
Faceoffs Lost 2375
Team Average Shots after League Average Shots after
1st Period 8.310.69
2nd Period 17.521.35
3rd Period 28.032.03
Overtime 28.732.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.71.08
2nd Period 1.52.13
3rd Period 2.42.97
Overtime 2.53.07
Even Strenght Goal 97
PP Goal 23
PK Goal 1
Empty Net Goal 1
Home Away
Win 511
Lost 149
Overtime Lost 74
PP Attempt 137
PP Goal 23
PK Attempt 185
PK Goal Against 26
Home
Shots For 28.3
Shots Against 35.1
Goals For 2.4
Goals Against 3.2
Hits 23.7
Shots Blocked 10.9
Pim 8.4