SharksSan Jose Sharks
34-36-5, 73pts · 11th in Western Conference
Player Stats
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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
1Hampus LindholmSharksSharks27D7492534-244401279533769.47%10522.:.5145900044200.00%000000.4000
2Daniel SprongSharksSharks91LW/RW70161531-2380391564711610.26%517.:.55641000011243.56%10100010.4901
3John MarinoSharksSharks6D6772330-946209147193614.89%10820.:.21000000160000.00%000000.4400
4Stefan NoesenSharksSharks23RW75161430-17240147193471148.29%516.:.2426800001449.37%7900010.4901
5Kasperi KapanenSharksSharks42LW/RW75121426-1710045147441098.16%1113.:.573580001172050.00%7000000.5011
6Jake NeighboursSharksSharks63LW/RW71141226-1444101071124010312.50%313.:.58347000182339.51%8100000.5201
7Connor DewarSharksSharks24C71111324-22357895265611.58%1111.:.520220001202346.88%115400000.5700
8Vladislav GavrikovSharksSharks84D7551924-31404833213215.15%10416.:.05000000166100.00%000000.4000
9Connor MurphySharksSharks5D7581422-10771517342203419.05%10016.:.54000000180000.00%000000.3500
10Andre BurakovskySharksSharks95LW/RW6771320-13402414145894.96%613.:.59246000170047.83%6900000.4311
11Dmitry OrlovSharksSharks7D7571320-185601459535587.37%7719.:.344370007000.00%000000.2700
12Carl GrundstromSharksSharks81RW7561016-10240596624459.09%307.:.4310100001047.37%3800000.5512
13Kurtis MacDermidSharksSharks23LW/RW/D493121553410612982110.34%610.:.02101000590030.56%3600000.6100
14Derek RyanSharksSharks10C/RW7331114-660306628774.55%1312.:.100220001700051.12%93700000.3203
15Zachary BolducSharksSharks16C20347-940826122111.54%211.:.0611200010043.81%29900000.6300
16Lukas ReichelSharksSharks0LW11156-3000197185.26%009.:.3001100000050.00%400001.1501
17Josh BrownSharksSharks44D27033-22757195100.00%2014.:.2700000048000.00%000000.1500
18Carl BerglundSharksBarracuda (SJS)18C15213020441550.00%106.:.2500000030038.66%11900000.6201
19Kevin KorchinskiSharksBarracuda (SJS)14D4022-12005070.00%213.:.050000000000.00%000000.7600
20Adam BeckmanSharksBarracuda (SJS)34LW4000-22041000.00%006.:.200000002000.00%100000.0000
21Klim KostinSharksSharks24C/LW/RW600000025010.00%005.:.0700000000042.86%2100000.0000
22Gage QuinneySharksSharks72LW200000000110.00%005.:.520000000000.00%100000.0000
23Connor MacEachernSharksBarracuda (SJS)0C/LW/RW100000000000.00%006.:.26000000000100.00%100000.0000
Team Total or Average1058128220348-175445651255137646210179.30%57915:082737640001112121247.54%289000020.43311
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
1Philipp GrubauerSharksSharks592228389.1%3.39304563172157600281.2%165619433
2Zane McIntyreSharksSharks834087.3%4.4343300322510000.0%0617010
Team Total or Average672532388.8%3.5234796320418270020.812166236443
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
1SharksPenguins2110000078-120.50071320002320552321110552210424125.00%5180.00%01383263452.51%1393283749.10%619126748.86%42285016271246.2%12.7%85.5%98.2FUN
2SharksIslanders2100001086241.00081422000433602022179621835499555.56%10370.00%01383263452.51%1393283749.10%619126748.86%48314916271350.0%13.3%90.3%103.7FUN
3SharksRangers2020000068-200.0006101600312068281624063161851700.00%9366.67%01383263452.51%1393283749.10%619126748.86%46304615261354.5%8.8%87.3%96.1Unlucky
4SharksDevils20200000412-800.000459002110552517130662223423133.33%10370.00%01383263452.51%1393283749.10%619126748.86%45274616281325.0%7.3%81.8%89.1Unlucky
5SharksFlyers2200000052341.0005813012030783120270681818406116.67%8187.50%01383263452.51%1393283749.10%619126748.86%47324615261380.0%6.4%97.1%103.5DULL
6SharksHurricanes2110000079-220.5007111800214053141524066274533133.33%20100.00%01383263452.51%1393283749.10%619126748.86%41264915281440.0%13.2%86.4%99.6FUN
7SharksLightning2110000065120.500611170031205816212105116144010110.00%7271.43%01383263452.51%1393283749.10%619126748.86%44305015251262.5%10.3%90.2%100.5FUN
8SharksJets31200000816-820.333814220042208339222201133916488112.50%7357.14%01383263452.51%1393283749.10%619126748.86%62407724401935.0%9.6%85.8%95.5FUN
9SharksCapitals2020000029-700.00024600110064182224077141644500.00%8275.00%01383263452.51%1393283749.10%619126748.86%46314715261222.2%3.1%88.3%91.4Unlucky
10SharksPanthers2010100068-220.500611170022115519181716427841200.00%4175.00%01383263452.51%1393283749.10%619126748.86%41255016301446.2%10.9%87.5%98.4FUN
11SharksBruins2010100078-120.5007121900330170132627491271954200.00%7185.71%01383263452.51%1393283749.10%619126748.86%43275116291350.0%10.0%91.2%101.2LUCKY
12SharksSenators20200000212-1000.00024600200039101712070201033200.00%5420.00%01383263452.51%1393283749.10%619126748.86%41265017281320.0%5.1%82.9%88.0Unlucky
13SharksCanadiens2010100056-120.5005914103101752827146552145013215.38%20100.00%01383263452.51%1393283749.10%619126748.86%51354217281433.3%6.7%89.1%95.8Unlucky
14SharksSabres2100100064241.0006111700311158152714255181054500.00%5180.00%01383263452.51%1393283749.10%619126748.86%48324514271366.7%10.3%92.7%103.1LUCKY
15SharksMaple Leafs2110000043120.500481201211054191916058191443400.00%6183.33%01383263452.51%1393283749.10%619126748.86%51354215251266.7%7.4%94.8%102.2DULL
16SharksBlues311000011013-330.500101929004510953230281090242251900.00%10370.00%01383263452.51%1393283749.10%619126748.86%68447225432250.0%10.5%85.6%96.1FUN
17SharksRed Wings22000000106441.00010172700343065192719053206467114.29%30100.00%01383263452.51%1393283749.10%619126748.86%51354114271460.0%15.4%88.7%104.1FUN
18SharksBlackhawks3110100066040.6676915003021792726233892130629111.11%80100.00%01383263452.51%1393283749.10%619126748.86%72476725422245.5%7.6%93.3%100.9DULL
19SharksBlue Jackets2020000029-700.00024600110050191912078211240500.00%6350.00%01383263452.51%1393283749.10%619126748.86%47324515261325.0%4.0%88.5%92.5Unlucky
20SharksPredators312000001116-520.3331120310034408232252509823268010220.00%8187.50%01383263452.51%1393283749.10%619126748.86%63427523412037.5%13.4%83.7%97.1FUN
21SharksWild2110000055020.5005813001130581618240671817506233.33%5180.00%01383263452.51%1393283749.10%619126748.86%45294815261342.9%8.6%92.5%101.2DULL
22SharksOilers2110000056-120.500591410041068243014057172148500.00%8275.00%01383263452.51%1393283749.10%619126748.86%44294916261155.6%7.4%89.5%96.8Unlucky
23SharksFlames2100010077030.7507121900142039151310164161039600.00%4250.00%01383263452.51%1393283749.10%619126748.86%42275216271358.3%17.9%89.1%107.0FUN
24SharksCanucks3210000089-140.66781321002240752715330882224811218.33%12283.33%11383263452.51%1393283749.10%619126748.86%66427124422150.0%10.7%89.8%100.4FUN
25SharksAvalanche3210000094540.6679162501261097243241068262067500.00%10280.00%01383263452.51%1393283749.10%619126748.86%72476622402181.8%9.3%94.1%103.4LUCKY
26SharksKings41200100411-730.3754711013100612422150144332697900.00%120100.00%01383263452.51%1393283749.10%619126748.86%835310132552626.7%6.6%92.4%98.9DULL
27SharksCoyotes31100100913-430.50091524004230114384232210238288511436.36%7271.43%01383263452.51%1393283749.10%619126748.86%70497223381931.3%7.9%87.3%95.1Unlucky
28SharksStars31200000811-320.3338132100233098412631011528167710330.00%7357.14%01383263452.51%1393283749.10%619126748.86%73506722381838.5%8.2%90.4%98.6Unlucky
29SharksDucks30200100714-710.167713200024109936382231093230668337.50%9366.67%01383263452.51%1393283749.10%619126748.86%70487223401826.7%7.1%87.2%94.2Unlucky
30SharksKraken32100000108240.667101626003250862425370782439811417.14%10280.00%01383263452.51%1393283749.10%619126748.86%76485923442360.0%11.6%89.7%101.4FUN
31SharksGolden Knights31100010108240.66710162600414195362929411639336311218.18%13284.62%01383263452.51%1393283749.10%619126748.86%72476924432157.1%10.5%93.1%103.6LUCKY
_Vs Division2088003105163-12210.5255186137111518171523186172160865618318347565710.77%681380.88%11383263452.51%1393283749.10%619126748.86%45529647516227913746.8%9.8%90.4%100.1FUN
_Vs Conference43171901411117147-30430.50011720031712384136212294353933862313984003589951332015.04%1302878.46%11383263452.51%1393283749.10%619126748.86%984649102234559329444.9%9.5%89.5%99.0FUN
_Since Last GM Reset75273605421204262-58730.487204352556247266599218675272767845243072657917172203315.00%2275476.21%11383263452.51%1393283749.10%619126748.86%172311401778599103451145.1%9.3%89.2%98.6FUN
Total75273605421204262-58730.487204352556247266599218675272767845243072657917172203315.00%2275476.21%11383263452.51%1393283749.10%619126748.86%172311401778599103451145.1%9.3%89.2%98.6FUN

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 2634
Neutral Zone Start 1267
Defensive Zone Start 2837
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3395
Faceoffs Lost 3343
Team Average Shots after League Average Shots after
1st Period 10.010.69
2nd Period 19.721.35
3rd Period 28.832.03
Overtime 29.432.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 1.82.13
3rd Period 2.62.97
Overtime 2.73.07
Even Strenght Goal 168
PP Goal 33
PK Goal 1
Empty Net Goal 2
Home Away
Win 1618
Lost 2214
Overtime Lost 05
PP Attempt 220
PP Goal 33
PK Attempt 227
PK Goal Against 54
Home
Shots For 29.1
Shots Against 32.4
Goals For 2.7
Goals Against 3.5
Hits 22.9
Shots Blocked 9.7
Pim 7.7