Login

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
Game Center
Devils
30-20-5, 65pts
4
FINAL
1 Sharks
17-27-8, 42pts
Team Stats
W2StreakL2
15-9-4Home Record8-15-4
15-11-1Away Record9-12-4
7-2-1Last 10 Games1-4-5
3.53Goals Per Game2.94
3.18Goals Against Per Game3.67
18.84%Power Play Percentage17.87%
82.33%Penalty Kill Percentage81.47%
Sharks
17-27-8, 42pts
0
FINAL
3 Mammoth
14-36-5, 33pts
Team Stats
L2StreakW1
8-15-4Home Record9-15-3
9-12-4Away Record5-21-2
1-4-5Last 10 Games2-8-0
2.94Goals Per Game2.20
3.67Goals Against Per Game3.89
17.87%Power Play Percentage20.38%
81.47%Penalty Kill Percentage79.02%
Sharks
17-27-8, 42pts
Day 114
Stars
21-25-7, 49pts
Team Stats
L2StreakL2
8-15-4Home Record13-9-5
9-12-4Away Record8-16-2
1-4-5Last 10 Games2-7-1
2.94Goals Per Game3.02
3.67Goals Against Per Game3.43
17.87%Power Play Percentage16.53%
81.47%Penalty Kill Percentage80.22%
Hurricanes
44-10-0, 88pts
Day 116
Sharks
17-27-8, 42pts
Team Stats
SOW1StreakL2
21-6-0Home Record8-15-4
23-4-0Away Record9-12-4
8-2-0Last 10 Games1-4-5
4.35Goals Per Game2.94
2.52Goals Against Per Game3.67
20.86%Power Play Percentage17.87%
81.68%Penalty Kill Percentage81.47%
Sharks
17-27-8, 42pts
Day 119
Canadiens
21-28-4, 46pts
Team Stats
L2StreakW1
8-15-4Home Record8-15-2
9-12-4Away Record13-13-2
1-4-5Last 10 Games5-3-2
2.94Goals Per Game3.42
3.67Goals Against Per Game3.96
17.87%Power Play Percentage25.21%
81.47%Penalty Kill Percentage75.40%
Team Leaders
Brett HowdenGoals
Brett Howden
18
Filip HronekAssists
Filip Hronek
35
Bowen ByramPoints
Bowen Byram
41
Kevin BahlPlus/Minus
Kevin Bahl
6
Joonas KorpisaloWins
Joonas Korpisalo
14
Vitek VanecekSave Percentage
Vitek Vanecek
0.899

Team Stats
Goals For
153
2.94 GFG
Shots For
1638
31.50 Avg
Power Play Percentage
17.9%
42 GF
Offensive Zone Start
40.3%
Goals Against
191
3.67 GAA
Shots Against
1735
33.37 Avg
Penalty Kill Percentage
81.5%
53 GA
Defensive Zone Start
41.2%


Injury / Suspension
Jakob Pelletier


Jakob Pelletier

is out for 2 days because of a Left Eye Injury.
Ty Emberson


Ty Emberson

is out for 2 weeks because of a Groin Injury.
Team Info
General Manager
CoachDrew Bannister
DivisionPacific
ConferenceWestern
Captain
Assistant #1Ryan Strome
Assistant #2Kasperi Kapanen
Uniforms
Arena Info
NameWest Coast Arena
Capacity25,000
Attendance18,736
Season Tickets10,000
Roster Info
Pro Team25
Farm Team24
Contract Limit49 / 50
Prospects30
Salary Cap
Estimated Season Salary Cap66,307,722$
Available Salary Cap23,692,278$
Special Salary Cap Value0$
Players In Salary Cap23
Finance
Year to Date Revenue44,578,340$
Year To Date Expenses44,751,015$
Estimated Season Revenue23,114,695$
Estimated Season Expenses26,556,725$
Current Bank Account18,640,093$
Projected Bank Account14,479,689$
Team History
This Season17-27-8 (42PTS)
History689-862-137 (0.408%)
Playoff Appearances4
Playoff Record (W-L)7-16
Stanley Cup0


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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Fabian ZetterlundX96.0083528783698299654061698080747865147102654,000,000$
2Pavel ZachaX95.0058558582708799698873647651788355137102845,500,000$
3Brett HowdenX100.0075567982667998668857747840767860157002733,000,000$
4Patrik LaineX100.0052548583737979714061826285767860156902717,500,000$
5Ryan Strome (A)X100.0055527383598299667771606861868435166803215,000,000$
6Kevin StenlundX100.0054558077747999599454647840808050166702912,000,000$
7Connor BrownX100.0045448882537899604057637640848140166603113,000,000$
8Jesperi KotkaniemiX100.0060577779697896628762636573727570166602514,235,000$
9Matej BlumelX100.004844828560766669406070704072747016660251825,000$
10Noah GregorX100.0082567976627379514045566599767560186102711,232,000$
11Filip ZadinaX100.0058468580566050584051656560746765106002613,025,000$
12Adam LarssonX100.0070568278718599614061619040888730157503324,500,000$
13Filip HronekX100.0074467786568985694078608140788455167402861$
14Bowen ByramX100.0061517983668799664071617740707975167202436,200,000$
15Kevin BahlX100.0075648075888593574059557940727970167202572,000,000$
16Anthony DeangeloX100.0051428488498967704075646567828645166803015,000,000$
17David JiricekX100.006353807671705157405460614066688516620221925,000$
18Maxwell CrozierX100.006964617666565155405951709972647017620251632,500$
Scratches
1Jakob PelletierX93.1662388684407477614060627540707275106402411,017,500$
2Kasperi Kapanen (A)X100.0071488577607489547750575840807750126102913,000,000$
3Mikael PyyhtiaX100.005242877849757551404557744070737519600243575,000$
4Ty EmbersonX81.207954857662759553405253784072747086802511,250,000$
Farm Team
1Florian Xhekaj (R)X100.007676398171786846703359704064719033590213925,000$
2Marian StudenicX100.0058458678526050534057496040766860335702711,364,000$
3Peter AbbandonatoX100.0059578777546050497053456040766860325602711,001,000$
4Nathan SmithX100.009943777550695943704342559076736033560271770,000$
5Timur IbragimovX100.004844897552605040403644604072667030520251907,500$
6Karl HenrikssonX100.006857867543605040403544604070657533520241925,000$
7Reece NewkirkX100.0062747375506050364038346340706575305102411,017,500$
8Stelio MattheosX100.006851697563605037403638504074676533500263575,000$
9Leon GawankeX100.0067637179625550584061565340746565326002611,232,000$
10Dysin MayoX100.008746607556625741403647554080715033580291575,000$
11Ryan JohnsonX100.004548787561706534403434704070707533580241750,000$
12Cameron CrottyX100.006856737573686331403330534074716532570261100,100$
13Alex Kannok-LeipertX100.006058587561635834403038594072687032560253575,000$
14Axel AnderssonX100.0058568175595550324030346140726470325502511,119,250$
15Michael KrutilX100.007952847569555031403230544068628033550233575,000$
16Riley StillmanX100.007864577561555037403441514076666033550271575,000$
17Charlie Wright (R)X100.005843888753555033403630574066618532550223575,000$
18Joey KeaneX100.006061777556555038403936504074656533530263575,000$
19Albin GreweX100.005960797549605032403530504070657520480243575,000$
20Maxim GolodX100.005769837552605034403435504072667020480253575,000$
21Sawyer Boulton (R)X100.007177338466605027402035574064629020480213575,000$
TEAM AVERAGE99.19655477796170695048495165487472652361
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Joonas Korpisalo99.008263639182797981807979848240187803122,500,000$
2Vitek Vanecek100.008260608673666767666996807350146902912,500,000$
Scratches
1Dustin Tokarski100.00775060865050505050505094721519590361575,000$
Farm Team
1Ilya Konovalov100.00765060855050505050506076636036570271770,000$
2Jaxson Stauber100.00755060855050505050506074626546570261650,000$
3Hugo Alnefelt100.007650608450505050505087706075205602411,017,500$
TEAM AVERAGE99.8378546186595858585858728069512663
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Drew Bannister94898789865068CAN5145,000,000$


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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Bowen ByramSharksD521130415300498081276713.58%72114922.117714491730112209200.00%000000.7100000112
2Filip HronekSharksD5263541-206201108110337695.83%57124924.035914702020111229100.00%000000.6600000220
3Brett HowdenSharksC5218203846401471281634814111.04%16109020.9846103918120231701152.35%133900000.7013000245
4Adam LarssonSharksD52122537-21575786312534919.60%94131525.298513652000001230200.00%000000.5600001112
5Patrik LaineSharksLW52161632-42954447169391189.47%8104220.053585318100031421039.80%9800000.6100010231
6Connor BrownSharksRW52161632400861143379411.19%888216.9735833180000003135.00%6000010.7300000212
7Pavel ZachaSharksC40111930-12603211313526778.15%20104526.1449132815300062341250.20%153400000.5703000134
8Fabian ZetterlundSharksLW48111627-1678016761140261077.86%13113023.562793617801152232031.86%29500000.4803000300
9Ryan StromeSharksRW52101424-24240425611634888.62%794818.252810421940000512160.98%8200000.5101000001
10Kevin StenlundSharksC5291423-1114060839929599.09%772613.97268841000010055.42%83900000.6300000210
11Kevin BahlSharksD52319226980146365025426.00%61109421.05145281730001179000.00%000000.4000000010
12Matej BlumelSharksLW52121022-61402470114228410.53%673314.111013130000600043.84%7300000.6000000001
13Jakob PelletierSharksRW4710919-4260505676154513.16%558912.55000010000121135.56%4500000.6400000011
14Anthony DeangeloSharksD4021113-620626266157.69%2347611.9200024000117000.00%000000.5500000010
15Maxwell CrozierSharksD441672615701412448.33%3548210.9700000000056000.00%000000.2900100001
16Jesperi KotkaniemiSharksC52426-3951843446259.09%43376.49000240001201054.36%34400000.3600100100
17Ty EmbersonSharksD24044-64954415142130.00%2326911.210000100002000.00%000000.3000100000
18David JiricekSharksD44033-51151384180.00%112355.3500001000033000.00%000000.2500000000
19Kasperi KapanenSharksLW251120409351420.00%11295.18000000000210054.55%1100000.3100000000
20Filip ZadinaSharksRW13000-4005510130.00%1977.5300002000000050.00%400000.0000000000
21Noah GregorSharksLW350003401329050.00%21083.1100001000130016.67%600000.0000000000
22Mikael PyyhtiaSharksLW4000000020000.00%010.390000100000000.00%100000.0000000000
Team Total or Average936153270423-1186423011351053163842011599.34%4741513916.174271113458189223525190117650.39%473100010.56110311171920
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
1Joonas KorpisaloSharks46142470.8943.4826234015214320400.5569439041
2Vitek VanecekSharks123210.8993.5046320272670010.0000838010
3Dustin TokarskiSharks10100.7947.1259007340010.000015000
Team Total or Average59172780.8933.5531466018617330420.55695252051


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Adam LarssonSharksD331992-11-12No207 Lbs6 ft3NoNoYes2Pro & Farm4,500,000$4,500,000$1,643,258$No4,500,000$
UFA
Link / NHL Link
Anthony DeangeloSharksD301995-10-24No180 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$1,825,843$No
UFA
Link / NHL Link
Bowen ByramSharksD242001-06-13No205 Lbs6 ft1NoNoYes3Pro Only6,200,000$6,200,000$2,264,045$No6,200,000$6,200,000$
RFA
Link / NHL Link
Brett HowdenSharksC271998-03-29No201 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$1,095,506$No3,000,000$3,000,000$
UFA
Link / NHL Link
Connor BrownSharksRW311994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$1,095,506$No
UFA
Link / NHL Link
David JiricekSharksD222003-11-28No204 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$337,781$No
RFA
Link / NHL Link
Dustin TokarskiSharksG361989-09-16No190 Lbs5 ft11NoNoNo1Pro & Farm575,000$575,000$209,972$No
UFA
Link / NHL Link
Fabian ZetterlundSharksLW261999-08-25No220 Lbs5 ft11NoNoYes5Pro & Farm4,000,000$4,000,000$1,460,674$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Filip HronekSharksD281997-11-02No190 Lbs6 ft0YesNoYes6Pro Only1$1$0$No7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Link / NHL Link
Filip ZadinaSharksRW261999-11-27No190 Lbs6 ft0NoNoYes1Pro & Farm3,025,000$3,025,000$1,104,635$No
RFA
Link / NHL Link
Jakob Pelletier (Out of Payroll)SharksRW242001-03-07No170 Lbs5 ft9NoNoNo1Pro & Farm1,017,500$1,017,500$371,559$No
RFA
Link / NHL Link
Jesperi KotkaniemiSharksC252000-07-06No203 Lbs6 ft3NoNoYes1Pro & Farm4,235,000$4,235,000$1,546,489$No
RFA
Link / NHL Link
Joonas KorpisaloSharksG311994-04-28No182 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$912,921$No2,500,000$
UFA
Link / NHL Link
Kasperi KapanenSharksLW291996-07-23No194 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$3,000,000$1,095,506$No
UFA
Link / NHL Link
Kevin BahlSharksD252000-06-27No230 Lbs6 ft6NoNoNo7Pro & Farm2,000,000$2,000,000$730,337$No2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Link / NHL Link
Kevin StenlundSharksC291996-09-20No213 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$730,337$No
UFA
Link / NHL Link
Matej BlumelSharksLW252000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm825,000$825,000$301,264$No
RFA
Link / NHL Link
Maxwell CrozierSharksD252000-04-19No198 Lbs6 ft3NoNoNo1Pro & Farm632,500$632,500$230,969$No
RFA
Link / NHL Link
Mikael PyyhtiaSharksLW242001-12-17No176 Lbs6 ft0NoNoNo3Pro & Farm575,000$575,000$209,972$No575,000$575,000$
RFA
Link / NHL Link
Noah GregorSharksLW271998-07-28No201 Lbs6 ft0NoNoNo1Pro & Farm1,232,000$1,232,000$449,888$No
UFA
Link / NHL Link
Patrik LaineSharksLW271998-04-19No208 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$2,738,764$No
UFA
Link / NHL Link
Pavel Zacha (Out of Payroll)SharksC281997-04-06No206 Lbs6 ft3NoNoYes4Pro Only5,500,000$5,500,000$2,008,427$No5,500,000$5,500,000$5,500,000$
UFA
Link / NHL Link
Ryan StromeSharksRW321993-07-11No192 Lbs6 ft1NoNoYes1Pro Only5,000,000$5,000,000$1,825,843$No
UFA
Link / NHL Link
Ty Emberson (Out of Payroll)SharksD252000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$456,461$No
RFA
Link / NHL Link
Vitek VanecekSharksG291996-01-09No180 Lbs6 ft1NoNoYes1Pro & Farm2,500,000$2,500,000$912,921$No
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2527.52197 Lbs6 ft12.042,799,680$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
69,992,001$35,275,000$28,275,000$18,500,000$13,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian ZetterlundPavel ZachaRyan Strome40122
2Patrik LaineBrett HowdenConnor Brown30122
3Matej BlumelKevin StenlundFilip Zadina20122
4Noah GregorJesperi KotkaniemiPavel Zacha10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek40122
2Bowen ByramKevin Bahl30122
3Anthony DeangeloMaxwell Crozier20122
4David JiricekAdam Larsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian ZetterlundPavel ZachaRyan Strome60122
2Patrik LaineBrett HowdenConnor Brown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Pavel ZachaFabian Zetterlund60122
2Brett HowdenPatrik Laine40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Pavel Zacha60122Adam LarssonFilip Hronek60122
2Fabian Zetterlund40122Bowen ByramKevin Bahl40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Pavel ZachaFabian Zetterlund60122
2Brett HowdenPatrik Laine40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Fabian ZetterlundPavel ZachaRyan StromeAdam LarssonFilip Hronek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Fabian ZetterlundPavel ZachaRyan StromeAdam LarssonFilip Hronek
Extra Forwards
Normal PowerPlayPenalty Kill
Kevin Stenlund, Jesperi Kotkaniemi, Matej BlumelKevin Stenlund, Jesperi KotkaniemiMatej Blumel
Extra Defensemen
Normal PowerPlayPenalty Kill
Anthony Deangelo, Maxwell Crozier, David JiricekAnthony DeangeloMaxwell Crozier, David Jiricek
Penalty Shots
Pavel Zacha, Fabian Zetterlund, Brett Howden, Patrik Laine, Ryan Strome
Goalie
#1 : Joonas Korpisalo, #2 : Vitek Vanecek


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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Avalanche31200000914-520200000410-61100000054120.333917260043209735273509323326610330.00%16381.25%01013189553.46%928193847.88%44386751.10%755063224021
2Blackhawks310001011011-1210001007701000000134-140.66710172700343010633313789933357613215.38%14192.86%01013189553.46%928193847.88%44386751.10%714879233718
3BlueJackets1010000025-3000000000001010000025-300.000246002000311696047520225120.00%9188.89%01013189553.46%928193847.88%44386751.10%2013287115
4Blues1010000037-41010000037-40000000000000.00035800012024751203226145120.00%3166.67%01013189553.46%928193847.88%44386751.10%2416227137
5Bruins20200000510-51010000024-21010000036-300.0005914001310371017100711624376350.00%11463.64%01013189553.46%928193847.88%44386751.10%432950152511
6Canadiens1010000015-41010000015-40000000000000.000123001000266713041810225120.00%5180.00%01013189553.46%928193847.88%44386751.10%2114277115
7Canucks3120000089-1110000005232020000037-420.333815230011608931283001002838669111.11%18572.22%01013189553.46%928193847.88%44386751.10%684574223718
8Capitals220000001028110000007161100000031241.000101828003340832621360551522558337.50%9277.78%01013189553.46%928193847.88%44386751.10%523639152714
9Devils1010000014-31010000014-30000000000000.000123000100215124042920134125.00%10190.00%01013189553.46%928193847.88%44386751.10%2011269136
10Ducks210001009541000010034-11100000061530.75091524002430752226270589204713323.08%10280.00%01013189553.46%928193847.88%44386751.10%513543152613
11Flames330000001165110000004222200000074361.0001122330064109528353209028287012325.00%13284.62%01013189553.46%928193847.88%44386751.10%755265203920
12GoldenKnights31101000981211000006601000100032140.6679132200224188361536112129487712216.67%21480.95%11013189553.46%928193847.88%44386751.10%654378233818
13Jets30200100814-61010000023-120100100611-510.167813210032308319313031182443461119.09%18477.78%01013189553.46%928193847.88%44386751.10%614084223716
14Kings32100000862220000006241010000024-240.667814220031409227234209826265211218.18%110100.00%11013189553.46%928193847.88%44386751.10%684672223918
15Lightning21000100111011000010067-11100000053230.750112031003440761731262673120429111.11%9277.78%01013189553.46%928193847.88%44386751.10%483347152613
16Mammoth4220000078-1211000003302110000045-140.50071421004120126434637087254410720210.00%19478.95%01013189553.46%928193847.88%44386751.10%1037083285228
17Oilers412000011619-31010000045-1311000011214-230.375162743109430152464262613548499731722.58%22386.36%01013189553.46%928193847.88%44386751.10%9362100315125
18Panthers2020000059-41010000025-31010000034-100.000591400113058182317065232646600.00%12283.33%01013189553.46%928193847.88%44386751.10%432954142210
19Penguins20200000812-41010000024-21010000068-200.000812201024206918321906926224314214.29%10550.00%01013189553.46%928193847.88%44386751.10%483446142412
20Predators1010000026-41010000026-40000000000000.0002460011002951113047111717500.00%6183.33%01013189553.46%928193847.88%44386751.10%2416227137
21RedWings2020000039-61010000005-51010000034-100.000369001110562023130882045478112.50%17194.12%01013189553.46%928193847.88%44386751.10%372357152411
22Senators1010000013-21010000013-20000000000000.0001120000102310580311115145120.00%5180.00%01013189553.46%928193847.88%44386751.10%2215247125
23Stars1000010012-11000010012-10000000000010.50011200100031101011027101021500.00%5180.00%01013189553.46%928193847.88%44386751.10%2617237137
24Wild2010000157-2000000000002010000157-210.25051015001311711833176541428388112.50%13284.62%01013189553.46%928193847.88%44386751.10%463052162612
Total52162701503153191-3827815004007297-2525812011038194-13420.404153270423205448502163850654357326173547464811352354217.87%2865381.47%21013189553.46%928193847.88%44386751.10%12168181268393666329
_Since Last GM Reset52162701503153191-3827815004007297-2525812011038194-13420.404153270423205448502163850654357326173547464811352354217.87%2865381.47%21013189553.46%928193847.88%44386751.10%12168181268393666329
_Vs Conference36131501403106122-161878003005059-91867011035663-7350.48610618729310403134211583603634212411593104247941652816.97%1893382.54%21013189553.46%928193847.88%44386751.10%856577865271466232
_Vs Division2211801101686171063001003124712550100137370260.5916812018810271723171723321526676891932535161082018.52%1142082.46%21013189553.46%928193847.88%44386751.10%526357518164285142

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5242L215327042316381735474648113520
All Games
GPWLOTWOTL SOWSOLGFGA
5216271503153191
Home Games
GPWLOTWOTL SOWSOLGFGA
2781504007297
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2581211038194
Last 10 Games
WLOTWOTL SOWSOL
140203
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2354217.87%2865381.47%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
506543573265448502
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1013189553.46%928193847.88%44386751.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12168181268393666329


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
113Avalanche7Sharks2BLBoxScore
322Sharks4Oilers3AWBoxScore
543Sharks1Canucks4ALBoxScore
757Flames2Sharks4BWBoxScore
866GoldenKnights4Sharks3BLBoxScore
1081Blackhawks5Sharks4BLXBoxScore
1399RedWings5Sharks0BLBoxScore
16123Sharks6Ducks1AWBoxScore
17131Sharks2Kings4ALBoxScore
20153GoldenKnights2Sharks3BWBoxScore
22171Predators6Sharks2BLBoxScore
24188Panthers5Sharks2BLBoxScore
26200Sharks3Jets7ALBoxScore
27204Sharks3Wild4ALBoxScore
29222Blues7Sharks3BLBoxScore
31238Canadiens5Sharks1BLBoxScore
35262Blackhawks2Sharks3BWBoxScore
37280Avalanche3Sharks2BLBoxScore
40295Sharks3Bruins6ALBoxScore
42313Sharks3RedWings4ALBoxScore
43318Sharks2BlueJackets5ALBoxScore
45340Sharks6Penguins8ALBoxScore
48362Bruins4Sharks2BLBoxScore
50377Canucks2Sharks5BWBoxScore
52392Capitals1Sharks7BWBoxScore
55411Sharks2Canucks3ALBoxScore
57424Sharks4Oilers6ALBoxScore
59438Sharks3Flames2AWBoxScore
61462Sharks3Jets4ALXBoxScore
64481Mammoth2Sharks3BWBoxScore
71512Sharks3Capitals1AWBoxScore
72514Sharks3Panthers4ALBoxScore
74531Sharks5Lightning3AWBoxScore
77547Sharks4Mammoth2AWBoxScore
78560Penguins4Sharks2BLBoxScore
81583Senators3Sharks1BLBoxScore
83601Sharks3GoldenKnights2AWXBoxScore
85610Oilers5Sharks4BLBoxScore
86619Kings1Sharks4BWBoxScore
88634Lightning7Sharks6BLXBoxScore
91653Sharks5Avalanche4AWBoxScore
93665Sharks4Flames2AWBoxScore
95680Sharks4Oilers5ALXXBoxScore
97700Ducks4Sharks3BLXBoxScore
98711Mammoth1Sharks0BLBoxScore
99724Kings1Sharks2BWBoxScore
101739Jets3Sharks2BLBoxScore
103751Sharks2Wild3ALXXBoxScore
105763Sharks3Blackhawks4ALXXBoxScore
108791Stars2Sharks1BLXBoxScore
111810Devils4Sharks1BLBoxScore
113819Sharks0Mammoth3ALBoxScore
114830Sharks-Stars-
116845Hurricanes-Sharks-
119863Sharks-Canadiens-
120875Sharks-Senators-
123895Sharks-MapleLeafs-
124896Sharks-Sabres-
127925Sharks-GoldenKnights-
128936Canucks-Sharks-
130955Oilers-Sharks-
133979Blues-Sharks-
135995MapleLeafs-Sharks-
1371008Predators-Sharks-
1391016Flames-Sharks-
1411033Sharks-Blues-
1421039Sharks-Stars-
1441054Wild-Sharks-
1471074Flyers-Sharks-
1491090BlueJackets-Sharks-
1511104Rangers-Sharks-
1531107Sharks-Ducks-
1551125Sharks-Hurricanes-
1581148Sharks-Predators-
1611166Islanders-Sharks-
1631179Sabres-Sharks-
1671199Sharks-Devils-
1691224Sharks-Rangers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711235Sharks-Flyers-
1721240Sharks-Islanders-
1751257Sharks-Kings-
1771268Ducks-Sharks-


Depth Chart
Left WingCenterRight Wing
Fabian Zetterlund
Fabian Zetterlund
AGE:26
SK:83
EN:82
DU:99
PH:65
PA:61
SC:69
DF:80
Patrik Laine
Patrik Laine
AGE:27
SK:83
EN:79
DU:79
PH:71
PA:61
SC:82
DF:62
Matej Blumel
Matej Blumel
AGE:25
SK:85
EN:76
DU:66
PH:69
PA:60
SC:70
DF:70
Noah Gregor
Noah Gregor
AGE:27
SK:76
EN:73
DU:79
PH:51
PA:45
SC:56
DF:65
Kasperi Kapanen
Kasperi Kapanen
AGE:29
SK:77
EN:74
DU:89
PH:54
PA:50
SC:57
DF:58
Mikael Pyyhtia
Mikael Pyyhtia
AGE:24
SK:78
EN:75
DU:75
PH:51
PA:45
SC:57
DF:74
Marian Studenic
Marian Studenic
AGE:27
SK:78
EN:60
DU:50
PH:53
PA:57
SC:49
DF:60
Karl Henriksson
Karl Henriksson
AGE:24
SK:75
EN:60
DU:50
PH:40
PA:35
SC:44
DF:60
Timur Ibragimov
Timur Ibragimov
AGE:25
SK:75
EN:60
DU:50
PH:40
PA:36
SC:44
DF:60
Reece Newkirk
Reece Newkirk
AGE:24
SK:75
EN:60
DU:50
PH:36
PA:38
SC:34
DF:63
Sawyer Boulton (R)
Sawyer Boulton
AGE:21
SK:84
EN:60
DU:50
PH:27
PA:20
SC:35
DF:57
Albin Grewe
Albin Grewe
AGE:24
SK:75
EN:60
DU:50
PH:32
PA:35
SC:30
DF:50
Maxim Golod
Maxim Golod
AGE:25
SK:75
EN:60
DU:50
PH:34
PA:34
SC:35
DF:50
Pavel Zacha
Pavel Zacha
AGE:28
SK:82
EN:87
DU:99
PH:69
PA:73
SC:64
DF:76
Brett Howden
Brett Howden
AGE:27
SK:82
EN:79
DU:98
PH:66
PA:57
SC:74
DF:78
Kevin Stenlund
Kevin Stenlund
AGE:29
SK:77
EN:79
DU:99
PH:59
PA:54
SC:64
DF:78
Jesperi Kotkaniemi
Jesperi Kotkaniemi
AGE:25
SK:79
EN:78
DU:96
PH:62
PA:62
SC:63
DF:65
Florian Xhekaj (R)
Florian Xhekaj
AGE:21
SK:81
EN:78
DU:68
PH:46
PA:33
SC:59
DF:70
Peter Abbandonato
Peter Abbandonato
AGE:27
SK:77
EN:60
DU:50
PH:49
PA:53
SC:45
DF:60
Nathan Smith
Nathan Smith
AGE:27
SK:75
EN:69
DU:59
PH:43
PA:43
SC:42
DF:55
Ryan Strome
Ryan Strome
AGE:32
SK:83
EN:82
DU:99
PH:66
PA:71
SC:60
DF:68
Connor Brown
Connor Brown
AGE:31
SK:82
EN:78
DU:99
PH:60
PA:57
SC:63
DF:76
Jakob Pelletier
Jakob Pelletier
AGE:24
SK:84
EN:74
DU:77
PH:61
PA:60
SC:62
DF:75
Filip Zadina
Filip Zadina
AGE:26
SK:80
EN:60
DU:50
PH:58
PA:51
SC:65
DF:65
Stelio Mattheos
Stelio Mattheos
AGE:26
SK:75
EN:60
DU:50
PH:37
PA:36
SC:38
DF:50

Defense #1Defense #2Goalie
Adam Larsson
Adam Larsson
AGE:33
SK:78
EN:85
DU:99
PH:61
PA:61
SC:61
DF:90
Filip Hronek
Filip Hronek
AGE:28
SK:86
EN:89
DU:85
PH:69
PA:78
SC:60
DF:81
Bowen Byram
Bowen Byram
AGE:24
SK:83
EN:87
DU:99
PH:66
PA:71
SC:61
DF:77
Kevin Bahl
Kevin Bahl
AGE:25
SK:75
EN:85
DU:93
PH:57
PA:59
SC:55
DF:79
Ty Emberson
Ty Emberson
AGE:25
SK:76
EN:75
DU:95
PH:53
PA:52
SC:53
DF:78
Anthony Deangelo
Anthony Deangelo
AGE:30
SK:88
EN:89
DU:67
PH:70
PA:75
SC:64
DF:65
David Jiricek
David Jiricek
AGE:22
SK:76
EN:70
DU:51
PH:57
PA:54
SC:60
DF:61
Maxwell Crozier
Maxwell Crozier
AGE:25
SK:76
EN:56
DU:51
PH:55
PA:59
SC:51
DF:70
Leon Gawanke
Leon Gawanke
AGE:26
SK:79
EN:55
DU:50
PH:58
PA:61
SC:56
DF:53
Ryan Johnson
Ryan Johnson
AGE:24
SK:75
EN:70
DU:65
PH:34
PA:34
SC:34
DF:70
Dysin Mayo
Dysin Mayo
AGE:29
SK:75
EN:62
DU:57
PH:41
PA:36
SC:47
DF:55
Cameron Crotty
Cameron Crotty
AGE:26
SK:75
EN:68
DU:63
PH:31
PA:33
SC:30
DF:53
Alex Kannok-Leipert
Alex Kannok-Leipert
AGE:25
SK:75
EN:63
DU:58
PH:34
PA:30
SC:38
DF:59
Charlie Wright (R)
Charlie Wright
AGE:22
SK:87
EN:55
DU:50
PH:33
PA:36
SC:30
DF:57
Michael Krutil
Michael Krutil
AGE:23
SK:75
EN:55
DU:50
PH:31
PA:32
SC:30
DF:54
Axel Andersson
Axel Andersson
AGE:25
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
Riley Stillman
Riley Stillman
AGE:27
SK:75
EN:55
DU:50
PH:37
PA:34
SC:41
DF:51
Joey Keane
Joey Keane
AGE:26
SK:75
EN:55
DU:50
PH:38
PA:39
SC:36
DF:50
Joonas Korpisalo
Joonas Korpisalo
AGE:31
SK:82
AG:82
RB:79
SC:79
HS:81
RT:80
DF:79
Vitek Vanecek
Vitek Vanecek
AGE:29
SK:82
AG:73
RB:66
SC:67
HS:67
RT:66
DF:69
Dustin Tokarski
Dustin Tokarski
AGE:36
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jaxson Stauber
Jaxson Stauber
AGE:26
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Ilya Konovalov
Ilya Konovalov
AGE:27
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Hugo Alnefelt
Hugo Alnefelt
AGE:24
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Prospects
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
Prospect Team NameDraft Year Overall Pick Information Lien
Adam JiricekSharks203821
Arttu KarkiSharks2037113
Artyom GalimovSharks2034100
Artyom GoncharSharks2039131
Ashton CumbySharks2039193
Axel LandenSharks2037163
Brady MartinSharks20397
Chase CheslockSharks2037194
Cole ReschnySharks203913
Damian ClaraSharks203765
Daniil ChechelevSharks2034102
Dominic BasseSharks2033178
Ian ScottSharks2031147
Jacob GoldenSharks2031190
Jaromir PytlikSharks203493
Jesse NurmiSharks2037145
Jonathan CastagnaSharks203794
Joshua RavensbergenSharks203938
Julius MiettinenSharks203840
Kalan LindSharks203757
Kirill UstimenkoSharks2031126
Liam PetterssonSharks203969
Linus FunckSharks2039162
Marcus KarlbergSharks203296
Paul FischerSharks2037168
Sacha BoisvertSharks203816
Sean KeohaneSharks2037214
Thimo NicklSharks2034124
Tommy LafreniereSharks2039100
Visa VedenpaaSharks2037209

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2040
2041
2042



Sharks Stat Leaders (Regular Season)
# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Milan Michalek845250314564-495658971403237110.54%2691687119.977612119754922458381634.39%40.671780
2Alexander Svitov13381993295289113551468155120859.54%6932029315.1727467317711152677331151.61%40.52627
3Rich Peverley649182309491-191753001818173110.51%2041272319.605211516731226839171456.01%30.77623
4Ryan Strome690172287459-1192425031477162510.58%1271259318.2547921393651453722951.07%50.73828
5Braydon Coburn116199324423-11817302238112513417.38%15892406420.7362861486582101217830.00%00.3501

Sharks Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jonas Hiller506207242410.8993.272933860715971575314673570.772224
2Vitek Vanecek252103109180.8893.591365522781773590260.72755
3Keith Kinkaid128506480.8893.8370438244940580440.68635
4Jose Theodore92483650.9132.63536719323527041104900.86050
5Jose Theodore81413090.9102.8048244322525001059200.61834

Sharks Career Team Stats
OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
Regular Season
20178238300313725624214412113011231411202141171702014115122-783256418674030599398257607469208902584863144317632504417.60%3105083.87%111076202853.06%1043201851.68%695138250.29%167690618918551564773
201882343401283228237-941181601222121123-241161800061107114-772228359587040558381236606848328242471866148716251903317.37%2504980.40%11960185151.86%1094206253.06%660130250.69%162383917467881609805
201982313404274223227-441162300101102120-18411511041731211071472223343566200448484271007819519502599881103019292194420.09%2685180.97%31031207749.64%1023211848.30%544115347.18%170995817787781502722
20208236310138326323627411816011501381102841181500233125126-1772634036660104810898283908721028923262083798920382434016.46%2133683.10%81122225349.80%1011205849.13%618123150.20%1785103317267521469722
202182234305254230285-5541122302130114145-3141112003124116140-2458230409639120866866243108377677952611748106218774528518.81%4419678.23%71539301950.98%1470309447.51%652129850.23%1927131220216261034509
202282293900446234285-5141151800143110133-2341142100303124152-2862234416650110828365256208228468672748830114519074218419.95%4449179.50%31510302849.87%1520325846.65%606125448.33%1898128720506281027503
202382263902357240287-4741141800333128149-2141122102024112138-2659240421661310877175218007396947142855859119920203818422.05%54510880.18%21383272850.70%1606335547.87%658129250.93%1806119821526371028489
202482244801126213313-10041132200114115148-334111260101298165-6761213364577100767361222607307607192713806125819014097518.34%52511977.33%21466277552.83%1567314049.90%620125649.36%1954133619976161012492
202582214702336211289-7841132001313115148-33418270102396141-4561211377588210786662252008278598072693796101717974117017.03%4399079.50%21581301952.37%1606307952.16%629124250.64%1955133619906231034509
202682165701134205340-1354192701031104163-594173000103101177-7645205369574210697854241408048337622768797118518864236916.31%46111475.27%31440296648.55%1476313947.02%637137146.46%1917130220266191017499
202782194902246224295-714182302224113143-3041112600022111152-4158224384608140827561239408098147402708821102219314347116.36%46610677.25%11233294341.90%1211306039.58%540131641.03%1881126820596231035507
203082283701493212224-124118170005111310674110200144299118-198321236257426078675724920835838791247467297318034577315.97%4108379.76%31638306553.44%1520297851.04%641121652.71%1978134319546381055527
203182234600346233306-7341102400232116154-3841132200114117152-3563233409642430798565249008448028192786788111717924137016.95%4609479.57%61589298853.18%1557316749.16%710134352.87%1890127020506321033504
203282234404344229317-8841141604223131145-14419280012198172-7469229404633320817070237507877508082970913105619193677319.89%4478780.54%21404290448.35%1583330047.97%655133249.17%1784117621546401035496
203382244802332247354-10741122101331131174-4341122701001116180-6463247436683100107716424540825753859290682790216964088119.85%3909076.92%41435290549.40%1498309348.43%656139347.09%1799119420946351056510
203482343804042272280-841162202010127135-841181602032145145086272484756040889086271508769019112715768102619114248820.75%4237781.80%31512307149.23%1489310647.94%696137050.80%1938132419866161031511
203582313603345280284-441121902224121146-25411917011211591382184280498778320108818426880849919889267075989518023707119.19%3786682.54%21516291751.97%1465304148.17%701135951.58%1973138019836071023507
203682224508232261345-8441132203111143162-194192305121118183-657026147173213091916824390823733857264577986417133917118.16%3598975.21%51433278951.38%1279281845.39%688136750.33%1994139219515951018513
203782343903411274299-2541161902211139151-1241182001200135148-138127449877212110738752419777854773202639861110218103818622.57%4509878.22%31433279651.25%1525308949.37%702132053.18%1937132419876111022503
203882205103422247355-1084192601221122176-5441112502201125179-5456247436683219576718239179872585233282277892017203797319.26%4058479.26%31549281655.01%1472287651.18%772138455.78%1841123420596331048507
203952162701503153191-3827815004007297-2525812011038194-1342153270423205448502163850654357326173547464811352354217.87%2865381.47%21013189553.46%928193847.88%44386751.10%12168181268393666329
Total Regular Season169255286205155868649355991-105684728542002434463825162948-43284526744202721404824193043-624140549358531134663241259159516451314513192081166121719815004557321672322340379757658142718.63%8370173179.32%86288635683350.79%289435978748.41%135232704850.00%384932523940932135562332611445
Playoff
2017624000001519-43210000086230300000713-641524390004652320588489178569715114428.57%23195.65%08917451.15%7514352.45%4810346.60%12369202591011053
2018624000001718-13120000089-13120000099041731480002771650486254175619311714428.57%19384.21%06113545.19%7615947.80%389042.22%108531395911356
202073400000171703120000089-14220000098161727440103772400601037721870911661119.09%18383.33%010218455.43%8718347.54%449247.83%148861486312258
203740400000921-1220200000512-72020000049-50916250053101264231391418340481072613.85%19384.21%09017950.28%9819849.49%437557.33%10267117345426
Total Playoff23716000005875-171147000002936-71239000002939-1014589815601512211976342197288234754227329541651015.38%791087.34%034267250.89%33668349.19%17336048.06%48227724311068401195

Sharks Stat Leaders (Play-Off)
# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Alexander Svitov108152439-38971511312326.47%56178416.5348121200082150.48%00.4400
2Milan Michalek135712101517204211.90%724318.73011300001016.67%00.9900
3Dustin Brown737106271610348.82%114721.11000500000043.33%01.3500
4Nikolai Antropov13279-581418306.67%725919.93123400010038.96%00.6900
5Sean Avery6426-391561526.67%512120.28213400000155.56%00.9900

Sharks Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jonas Hiller73400.9222.43419211721882000.0000
2Jose Theodore62310.8933.11367401917871000.0000
3Jose Theodore62400.8972.99361001817565000.0000
4Joonas Korpisalo10100.7628.5735005210000.0000
5Vitek Vanecek40210.9014.0223900161620000.0000