San Jose Sharks
29-39-7, 65pts · 13th in Ouest
STATISTIQUE
Astuces sur les Filtres (Anglais seulement)
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
1Vladislav NamestnikovSharksSharksC/LW/RW75193049-1324096228401618.33%518.093101317100005447.52%32200010.7202
2Jack QuinnSharksSharksRW69212849-118060247772028.50%1318.27881615500024026.15%6500000.7802
3Ondrej PalatSharksSharksLW70192847-6275103208551249.13%1518.464913150000131232.29%9600000.7300
4Ryan JohansenSharksSharksC75172946-820067215631527.91%1818.23491316800012158.09%169900100.6700
5Ryan EllisSharksSharksD6173946-9300859240777.61%12723.113912136011145010.00%000000.6500
6Kyle OkposoSharksSharksRW75222244-13160862137913710.33%2518.32639170000301140.66%9100000.6402
7Christian DvorakSharksSharksC75161733-10603170521439.41%1914.04011181012024055.61%126600100.6300
8Adam GaudetteSharksSharksC66131528-19422050139331029.35%1418.0721315500062051.36%147200000.4700
9Kevin ShattenkirkSharksSharksD7462127-940011954224011.11%7521.1426817201177100.00%000000.3501
10Josh AndersonSharksSharksRW7191726-124157412440807.26%810.780001100004039.13%4600000.6800
11Anthony DeangeloSharksSharksD6052025-171002949223610.20%8020.3736911500035100.00%000000.4100
12Colin MillerSharksSharksD7531720-125751247025504.29%11018.71224158000181000.00%000000.2900
13Dryden HuntSharksSharksLW/RW757916-132605464194910.94%710.80000000010134.69%4900000.4000
14Derek RyanSharksSharksC/LW/RW758715-1240309532638.42%1410.5300071011993052.87%99300100.3800
15Justin HollSharksSharksD7551015-20800184598458.47%13520.7901133000161000.00%000000.1900
16Ryan LombergSharksSharksLW252680155492212269.09%316.600114600000016.13%3100000.3900
17Taylor HallSharksSharksLW/RW74268-922041377345.41%109.7900000001780044.44%6300000.2200
18Radim SimekSharksSharksD22077-53810275320.00%2919.730224700037000.00%000000.3200
19Mark FriedmanSharksSharksD70246-143151133217196.25%6816.8101111000177100.00%000000.1000
20Mackenzie MacEachernSharksSharksLW75325-10120535722265.26%49.8800000001940052.63%5700000.1400
21Mike HardmanSharksSharks (SJS)LW/RW100000000000.00%01.3200000001000.00%000000.0000
22Maxence Guenette (R)SharksSharks (SJS)D1000-20021000.00%220.6800010000000.00%000000.0000
23John LudvigSharksSharks (SJS)D9000-31952373110.00%918.47000220004000.00%000000.0000
Moyenne d'équipe1348186334520-227568601472218867115798.50%79016.39376910617542241653291052.93%625000310.4707
Astuces sur les Filtres (Anglais seulement)
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 SamsonovSharksSharks37171220.9143.0720344210412110010.00003045420
2Jake AllenSharksSharks44112750.9063.1524228312713570120.66764426634
3Ville HussoSharksSharks11000.9521.0060001210000.000014000
Moyenne d'équipe 822939 7 0.9103.08451612523225890130.667675751054
Astuces sur les Filtres (Anglais seulement)
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
1SabresSabres2110000057-220.5005101500122070173023071241638900.00%8537.50%01324244354.20%1377260852.80%607116552.10%47344615251271.4%7.1%90.1%97.3Unlucky
2BruinsBruins2110000055020.5005914001310772420330561212402150.00%60100.00%01324244354.20%1377260852.80%607116552.10%49334513251244.4%6.5%91.1%97.6Unlucky
3RangersRangers1010000024-200.0002461000202957170326212000.00%10100.00%01324244354.20%1377260852.80%607116552.10%241721613733.3%6.9%87.5%94.4Unlucky
4PredatorsPredators504001001230-1810.100122436005430150554451020174241001317.69%11372.73%01324244354.20%1377260852.80%607116552.10%1117612635633028.9%8.0%85.1%93.1Unlucky
5Red WingsRed Wings2200000052341.0005101500230071262421041141425700.00%70100.00%01324244354.20%1377260852.80%607116552.10%48334515251371.4%7.0%95.1%102.2DULL
6JetsJets2110000057-220.5005813000140599203005524163810220.00%7357.14%01324244354.20%1377260852.80%607116552.10%45314815251242.9%8.5%87.3%95.7Unlucky
7HurricanesHurricanes2110000046-220.500481200121044181880611831325120.00%5260.00%01324244354.20%1377260852.80%607116552.10%38255415271242.9%9.1%90.2%99.3FUN
8CapitalsCapitals1010000013-200.0001230001004010181203412218400.00%10100.00%01324244354.20%1377260852.80%607116552.10%221423713625.0%2.5%91.2%93.7DULL
9CanadiensCanadiens1010000023-100.000246000200286121002978143133.33%40100.00%01324244354.20%1377260852.80%607116552.10%221524713625.0%7.1%89.7%96.8Unlucky
10LightningLightning1010000014-300.00012300001025661304698292150.00%40100.00%01324244354.20%1377260852.80%607116552.10%20132871150.0%4.0%91.3%95.3DULL
11FlyersFlyers1010000026-400.00024600200033141180327826400.00%4175.00%01324244354.20%1377260852.80%607116552.10%211326712628.6%6.1%81.3%87.3Unlucky
12Black HawksBlack Hawks40301000918-920.25091423003321107224242116963357811218.18%14192.86%01324244354.20%1377260852.80%607116552.10%885910129512429.2%8.4%89.3%97.8Unlucky
13AvalancheAvalanche30200100611-510.167611171023109333312901073120689111.11%100100.00%01324244354.20%1377260852.80%607116552.10%70497322371731.3%6.5%89.7%96.2Unlucky
14DucksDucks402010011121-1030.375112031003431120364437716652488213215.38%13284.62%01324244354.20%1377260852.80%607116552.10%896110629502332.1%9.2%87.3%96.5FUN
15OilersOilers3210000063340.667611170012306317222401052514497228.57%60100.00%01324244354.20%1377260852.80%607116552.10%67447422381857.1%9.5%97.1%106.7LUCKY
16SenateursSenateurs1000100021121.000246000011296911339111022000.00%50100.00%01324244354.20%1377260852.80%607116552.10%231627813566.7%6.9%97.4%104.3DULL
17Maple LeafsMaple Leafs1010000035-200.000369001110238690431410173133.33%5260.00%01324244354.20%1377260852.80%607116552.10%211326712640.0%13.0%88.4%101.4FUN
18CanucksCanucks522001001215-350.5001220320035401596057411165472810523417.39%14378.57%21324244354.20%1377260852.80%607116552.10%1137712637622940.0%7.5%90.9%98.5Unlucky
19WildWild421001001013-350.62510182801523010144243301242825806233.33%9366.67%01324244354.20%1377260852.80%607116552.10%906210029532544.4%9.9%89.5%99.4FUN
20BluesBlues3030000016-500.0001230001007014302601113220481100.00%10190.00%01324244354.20%1377260852.80%607116552.10%64427724371716.7%1.4%94.6%96.0DULL
21KingsKings522001001414050.5001427411062601383949500168452812313430.77%14378.57%01324244354.20%1377260852.80%607116552.10%1157912036643247.6%10.1%91.7%101.8LUCKY
22Golden KnightsGolden Knights512010011315-250.500132538005431156524649121454939908225.00%16193.75%01324244354.20%1377260852.80%607116552.10%1117613339643144.0%8.3%89.7%98.0Unlucky
23StarsStars422000001714340.500172744005750143345950012345358612541.67%14471.43%01324244354.20%1377260852.80%607116552.10%92649528512454.5%11.9%88.6%100.5FUN
24FlamesFlames514000001315-220.2001320330154401393859420209666487400.00%24675.00%01324244354.20%1377260852.80%607116552.10%1047013136633059.1%9.4%92.8%102.2LUCKY
25PanthersPanthers1100000031221.000369002100184104030108193133.33%4175.00%01324244354.20%1377260852.80%607116552.10%2012268136100.0%16.7%96.7%113.3LUCKY
26IslandersIslanders1100000030321.00036901021021315302351122100.00%30100.00%01324244354.20%1377260852.80%607116552.10%2215246126100.0%14.3%100.0%114.3LUCKY
27PenguinsPenguins1100000031221.0003690011102871470335818300.00%40100.00%01324244354.20%1377260852.80%607116552.10%231523812675.0%10.7%97.0%107.7LUCKY
28KrakenKraken54100000167980.8001628440258301545156470174574110718422.22%170100.00%01324244354.20%1377260852.80%607116552.10%1117512837593063.2%10.4%96.0%106.4LUCKY
_Vs Division321214022028590-5320.50085151236132829262929293333290201132341262643861820.93%1041585.58%21324244354.20%1377260852.80%607116552.10%71348582124040319647.2%9.1%92.0%101.2LUCKY
_Vs Conference57173003502145189-44470.412145255400244850443165250458355121202263843711411583119.62%1793083.24%21324244354.20%1377260852.80%607116552.10%1277870144542572235041.8%8.8%90.7%99.4Unlucky
_Since Last GM Reset75253904502186237-51650.433186336522355968554218865878373024259279258514732043718.14%2404182.92%21324244354.20%1377260852.80%607116552.10%16831144189056295646543.2%8.5%90.9%99.4Unlucky
Total75253904502186237-51650.433186336522355968554218865878373024259279258514732043718.14%2404182.92%21324244354.20%1377260852.80%607116552.10%16831144189056295646543.2%8.5%90.9%99.4Unlucky

Puck Time
Offensive Zone 22
Neutral Zone 12
Defensive Zone 25
Puck Time
Offensive Zone Start 2443
Neutral Zone Start 1165
Defensive Zone Start 2608
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 3308
Faceoffs Lost 2908
Team Average Shots after League Average Shots after
1st Period 8.89.57
2nd Period 19.220.31
3rd Period 28.930.68
Overtime 29.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 1.71.65
3rd Period 2.42.67
Overtime 2.52.83
Even Strenght Goal 144
PP Goal 37
PK Goal 2
Empty Net Goal 3
Home Away
Win 1712
Lost 1722
Overtime Lost 34
PP Attempt 204
PP Goal 37
PK Attempt 240
PK Goal Against 41
Home
Shots For 29.2
Shots Against 34.6
Goals For 2.5
Goals Against 3.2
Hits 19.6
Shots Blocked 10.6
Pim 7.8