San Jose Sharks
21-34-7, 49pts · 12th in Ouest
STATISTIQUE
Astuces sur les Filtres
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
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Ryan Ellis Sharks D6284755-6807310730847.48%13824.2727914201114631-%000000.7302
2Taylor Hall Sharks LW/RW62212748-6120602037312910.34%918.05461013900081040.91%8800000.8622
3Josh Anderson Sharks RW62182038-2677151641766114010.23%2018.14088130000312344.23%10400000.6805
4Ondrej Palat Sharks LW62152136-2914059132418111.36%1417.856410132000141130.17%11600000.6500
5Kevin Hayes Sharks C/LW/RW48141731020044127318711.02%1018.3122411100081051.97%109300000.7123
6Lawson Crouse Sharks LW/RW621415299260100127379111.02%1314.27000191011241027.78%5400100.6601
7Alexandre Texier Sharks C/RW60121628-33201212625889.52%818.21641012800053124.68%133300000.5115
8Jeff Skinner Sharks LW62151328-1212059139418510.79%1018.0922414100002242.11%7600000.5000
9Jeff Petry Sharks D5151924-225001597624636.58%8122.731451070008610-%000000.4100
10Dryden Hunt Sharks LW/RW611192011203391267112.09%913.57000130001230029.82%5700000.4800
11Nick Leddy Sharks D6211920-2960226119331.64%6819.340551320005800-%000000.3322
12Justin Holl Sharks D6231518-6240414410306.82%8417.07011500012510-%000000.3400
13Colin Miller Sharks D6251318-1940014544122711.36%6317.273471310002300-%000000.3400
14Sean Walker Sharks D625121705001485224299.62%9120.000002700013220-%000000.2700
15Clark Bishop Sharks C6051015895386614467.58%913.2300010001240247.20%100000000.3811
16Mike Hardman Sharks LW/RW593710-151410395714305.26%88.53000700030032.73%5500000.4000
17Tye Felhaber (R) Sharks C/LW/RW603710-12100363514368.57%610.4100010111380135.61%78900000.3201
18Mackenzie MacEachern Sharks LW60235-1880355314383.77%27.95000000000141.94%3100000.2100
19Ryan Lomberg Sharks LW16134-78034224204.55%417.190002600020032.54%33500000.2900
20Radim Simek Sharks D11033-82402710280.00%1821.30011220001700-%000000.2600
21Jani Nyman (R) Sharks (SJS) RW2112-120091111.11%013.62101000000022.58%3100001.4700
22Aatu Raty (R) Sharks (SJS) C11010000100100.00%07.400000000000-%000002.7000
23William Stromgren (R) Sharks (SJS) LW20110000000-%18.13000000000037.50%1600001.2300
24Zach Benson (R) Sharks (SJS) LW3000-10002250.00%113.83000000000034.48%2900000.0000
25Lian Bichsel (R) Sharks (SJS) D2000-22041000.00%06.140000000000-%000000.0000
Moyenne d'équipe1116163298461-234430301332176151912229.26%66716.4927487514241231176181238.29%520700100.50822
Astuces sur les Filtres
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ilya Samsonov Sharks 40132140.8963.8422052114113530110.667183519310
2Semyon Varlamov Sharks 2661020.9043.27121320666900000.33332025310
3Ville Husso Sharks 72300.8605.252970026186000-0713000
4Kevin Mandolese Sharks (SJS) 10011.0000.0043000180000.667305000
Moyenne d'équipe74213470.8963.7237594123322470110.625246262620
Astuces sur les Filtres
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 Équipe 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
1SabresSabres200001108838142200331155171421570251439616107551957831215640810280.75016.67%83.33%38.58%38.54%39.69%48324915281450.0%14.5%88.6%103.1FUN
2BruinsBruins202000004704610002020391262107421836204007551957831215640810280.0000.00%100.00%38.58%38.54%39.69%40265316251136.4%10.3%90.5%100.8FUN
3PredatorsPredators514000009192918270042301384452420190523211114216607551957831215640810280.20014.29%62.50%38.58%38.54%39.69%1036913338633035.0%6.5%90.0%96.5Unlucky
4Red WingsRed Wings210001009739152400630073262620179141944316007551957831215640810280.75033.33%100.00%38.58%38.54%39.69%49344613251353.3%12.3%91.1%103.5LUCKY
5JetsJets10100000350347002100279990455819314207551957831215640810280.00033.33%50.00%38.58%38.54%39.69%201328711540.0%11.1%88.9%100.0FUN
6HurricanesHurricanes2010100036236900101154201814256241843607107551957831215640810280.5000.00%85.71%38.58%38.54%39.69%47314915271337.5%5.6%89.3%94.8Unlucky
7CapitalsCapitals101000003503690002102087504791020205107551957831215640810280.0000.00%80.00%38.58%38.54%39.69%171129713642.9%15.0%89.4%104.4FUN
8CanadiensCanadiens11000000432471100022026761303312421102107551957831215640810281.0000.00%50.00%38.58%38.54%39.69%181228712666.7%15.4%90.9%106.3FUN
9LightningLightning101000002502460000202473140278822604117551957831215640810280.0000.00%75.00%38.58%38.54%39.69%231523813733.3%8.3%81.5%89.8Unlucky
10FlyersFlyers10100000240235100110249960339816103107551957831215640810280.0000.00%66.67%38.58%38.54%39.69%191327713540.0%8.3%87.9%96.2Unlucky
11Black HawksBlack Hawks3110000191039172600144087193132710539326811314507551957831215640810280.50027.27%64.29%38.58%38.54%39.69%67447723401954.5%10.3%90.5%100.8FUN
12AvalancheAvalanche10000100231246002000185760559430102007551957831215640810280.5000.00%100.00%38.58%38.54%39.69%171129712540.0%11.1%94.5%105.7LUCKY
13DucksDucks3210000088481523002330963034320953025988010107551957831215640810280.6670.00%90.00%38.58%38.54%39.69%68447222391953.3%8.3%91.6%99.9DULL
14OilersOilers30200010712271219003213882924329113342544409307551957831215640810280.3330.00%66.67%38.58%38.54%39.69%70477321402043.8%8.0%89.4%97.3Unlucky
15SenateursSenateurs101000003603690011102411670417818324307551957831215640810280.00066.67%25.00%38.58%38.54%39.69%191227712525.0%12.5%85.4%97.9FUN
16Maple LeafsMaple Leafs100010003223690020013068151389620423007551957831215640810281.00050.00%100.00%38.58%38.54%39.69%211526713633.3%10.0%94.7%104.7LUCKY
17CanucksCanucks51300001112331122330054201464342541016255389815217407551957831215640810280.30013.33%76.47%38.58%38.54%39.69%1066913339653132.1%7.5%85.8%93.3Unlucky
18WildWild413000001120211203100425011946403301203718831528307551957831215640810280.25013.33%62.50%38.58%38.54%39.69%87599830542534.6%9.2%83.3%92.6FUN
19KingsKings514000006182611170105101253955310184492411510111507551957831215640810280.20010.00%54.55%38.58%38.54%39.69%1107312436653127.8%4.8%90.2%95.0Unlucky
20Golden KnightsGolden Knights31101000131241324370080418626263311266020427110307551957831215640810280.66714.29%70.00%38.58%38.54%39.69%61418223391857.1%15.1%90.5%105.6FUN
21StarsStars421001001514515274200645011944383701465033957112307551957831215640810280.62514.29%75.00%38.58%38.54%39.69%896010028512556.0%12.6%90.4%103.0FUN
22FlamesFlames50400010122021218300052431656346539180462811514412507551957831215640810280.20028.57%58.33%38.58%38.54%39.69%1157712136673234.8%7.3%88.9%96.2Unlucky
23PanthersPanthers110000003223470001202268804416422212007551957831215640810281.00050.00%100.00%38.58%38.54%39.69%171028713650.0%13.6%95.5%109.1LUCKY
24IslandersIslanders10100000340369001110326111504291125323107551957831215640810280.00066.67%66.67%38.58%38.54%39.69%201326713625.0%9.4%90.5%99.9FUN
25PenguinsPenguins110000005325101500131043161980367218401007551957831215640810281.0000.00%100.00%38.58%38.54%39.69%251721713662.5%11.6%91.7%103.3LUCKY
26KrakenKraken301010018113813210014228123272212107312770919207551957831215640810280.50011.11%77.78%38.58%38.54%39.69%59378325422043.8%9.9%89.7%99.6FUN
_Vs Division275160202265104206511518001242017978725325425741967305187582679782307551957831215640810280.37013.43%70.51%38.58%38.54%39.69%59239169020536017340.9%8.3%89.2%97.5Unlucky
_Vs Conference45102602223114175331142053190143333491295420431416481628497314988118181344207551957831215640810280.36715.25%68.66%38.58%38.54%39.69%977650115834159428541.9%8.8%89.3%98.1Unlucky
_Since Last GM Reset6214340443316623749166298464116050491217615715725835722486674341332161271845217551957831215640810280.39516.77%71.74%38.58%38.54%39.69%1346897159746982039542.9%9.4%89.5%98.9FUN
Total6214340443316623749166298464116050491217615715725835722486674341332161271845217551957831215640810280.39516.77%71.74%38.58%38.54%39.69%1346897159746982039542.9%9.4%89.5%98.9FUN

Puck Time
Offensive Zone 21
Neutral Zone 13
Defensive Zone 25
Puck Time
Offensive Zone Start 1957
Neutral Zone Start 1028
Defensive Zone Start 2156
Puck Time
With Puck 28
Without Puck 32
Faceoffs
Faceoffs Won 1994
Faceoffs Lost 3147
Team Average Shots after League Average Shots after
1st Period 9.29.57
2nd Period 18.420.31
3rd Period 27.830.68
Overtime 28.831.4
Goals in Team Average Goals after League Average Goals after
1st Period9.29.57
2nd Period18.420.31
3rd Period27.830.68
Overtime28.831.4
Even Strength Goal137
PP Goal27
PK Goal1
Empty Net Goal1
Home Away
Win 912
Lost 1717
Overtime Lost 43
Win912
Lost1717
Overtime Lost43
Home
Shots For28.4
Shots Against36.3
Goals For2.7
Goals Against3.8
Hits21.5
Shots Blocked10.8
Pim7.0