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Game Center
Blues
8-7-1, 17pts
7
FINAL
3 Sharks
4-11-1, 9pts
Team Stats
L1StreakL6
5-2-1Home Record2-7-1
3-5-0Away Record2-4-0
4-6-0Last 10 Games2-8-0
3.13Goals Per Game2.69
3.00Goals Against Per Game4.44
16.44%Power Play Percentage15.28%
82.54%Penalty Kill Percentage80.00%
Canadiens
8-7-0, 16pts
5
FINAL
1 Sharks
4-11-1, 9pts
Team Stats
W1StreakL6
2-5-0Home Record2-7-1
6-2-0Away Record2-4-0
5-5-0Last 10 Games2-8-0
3.40Goals Per Game2.69
3.93Goals Against Per Game4.44
20.97%Power Play Percentage15.28%
78.67%Penalty Kill Percentage80.00%
Blackhawks
7-5-4, 18pts
Day 35
Sharks
4-11-1, 9pts
Team Stats
SOL1StreakL6
3-2-3Home Record2-7-1
4-3-1Away Record2-4-0
6-1-3Last 10 Games2-8-0
3.63Goals Per Game2.69
3.50Goals Against Per Game4.44
18.18%Power Play Percentage15.28%
80.81%Penalty Kill Percentage80.00%
Avalanche
6-8-1, 13pts
Day 37
Sharks
4-11-1, 9pts
Team Stats
SOL1StreakL6
4-5-0Home Record2-7-1
2-3-1Away Record2-4-0
3-6-1Last 10 Games2-8-0
2.80Goals Per Game2.69
3.47Goals Against Per Game4.44
18.07%Power Play Percentage15.28%
81.16%Penalty Kill Percentage80.00%
Sharks
4-11-1, 9pts
Day 40
Bruins
13-1-2, 28pts
Team Stats
L6StreakW5
2-7-1Home Record4-1-1
2-4-0Away Record9-0-1
2-8-0Last 10 Games8-0-2
2.69Goals Per Game3.50
4.44Goals Against Per Game2.19
15.28%Power Play Percentage22.39%
80.00%Penalty Kill Percentage84.93%
Team Leaders
Jakob PelletierGoals
Jakob Pelletier
6
Bowen ByramAssists
Bowen Byram
10
Bowen ByramPoints
Bowen Byram
13
Matej BlumelPlus/Minus
Matej Blumel
2
Joonas KorpisaloWins
Joonas Korpisalo
4
Joonas KorpisaloSave Percentage
Joonas Korpisalo
0.88

Team Stats
Goals For
43
2.69 GFG
Shots For
461
28.81 Avg
Power Play Percentage
15.3%
11 GF
Offensive Zone Start
38.2%
Goals Against
71
4.44 GAA
Shots Against
588
36.75 Avg
Penalty Kill Percentage
80.0%
19 GA
Defensive Zone Start
43.7%


Injury / Suspension
Joonas Korpisalo


Joonas Korpisalo

is out for 2 days because of a Exhaustion.
Fabian Zetterlund


Fabian Zetterlund

is out for 1 days because of a Exhaustion.
Team Info
General Manager
CoachDrew Bannister
DivisionPacific
ConferenceWestern
Captain
Assistant #1Ryan Strome
Assistant #2Kasperi Kapanen
Uniforms
Arena Info
NameWest Coast Arena
Capacity25,000
Attendance18,870
Season Tickets10,000
Roster Info
Pro Team24
Farm Team25
Contract Limit49 / 50
Prospects30
Salary Cap
Estimated Season Salary Cap62,624,039$
Available Salary Cap27,375,961$
Special Salary Cap Value0$
Players In Salary Cap22
Finance
Year to Date Revenue16,663,990$
Year To Date Expenses11,535,327$
Estimated Season Revenue51,658,369$
Estimated Season Expenses56,088,732$
Current Bank Account24,824,782$
Projected Bank Account18,749,310$
Team History
This Season4-11-1 (9PTS)
History676-846-133 (0.408%)
Playoff Appearances4
Playoff Record (W-L)7-16
Stanley Cup0


Filter Tips
PriorityTypeDescription
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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
1Brett HowdenX99.0075567982667998668857747840767860157002733,000,000$
2Patrik LaineX100.0052548583737979714061826285767860156902717,500,000$
3Ryan Strome (A)X100.0055527383598299667771606861868435156803215,000,000$
4Kevin StenlundX100.0054558077747999599454647840808050156702912,000,000$
5Connor BrownX100.0045448882537899604057637640848140156603113,000,000$
6Jesperi KotkaniemiX100.0060577779697896628762636573727570156602514,235,000$
7Matej BlumelX100.004844828560766669406070704072747015660251825,000$
8Jakob PelletierX100.0062388684407477614060627540707275156402411,017,500$
9Noah GregorX100.0082567976627379514045566599767560166102711,232,000$
10Filip ZadinaX100.0058468580566050584051656560746765136002613,025,000$
11Mikael PyyhtiaX100.005242877849757551404557744070737520600243575,000$
12Adam LarssonX100.0070568278718599614061619040888730157503324,500,000$
13Filip HronekX100.0074467786568985694078608140788455157402861$
14Bowen ByramX100.0061517983668799664071617740707975157202436,200,000$
15Kevin BahlX100.0075648075888593574059557940727970157202572,000,000$
16Ty EmbersonX100.0079548576627595534052537840727470176802511,250,000$
17David JiricekX100.006353807671705157405460614066688518620221925,000$
Scratches
1Fabian ZetterlundX94.0083528783698299654061698080747865147102654,000,000$
2Pavel ZachaX100.0058558582708799698873647651788355187102845,500,000$
3Kasperi Kapanen (A)X97.277148857760748954775057584080775096102913,000,000$
4Anthony DeangeloX97.9451428488498967704075646567828645166803015,000,000$
5Maxwell CrozierX97.366964617666565155405951709972647014620251632,500$
Farm Team
1Florian Xhekaj (R)X100.007676398171786846703359704064719023590213925,000$
2Marian StudenicX100.0058458678526050534057496040766860235702711,364,000$
3Peter AbbandonatoX100.0059578777546050497053456040766860225602711,001,000$
4Nathan SmithX100.009943777550695943704342559076736023560271770,000$
5Karl HenrikssonX100.006857867543605040403544604070657523520241925,000$
6Reece NewkirkX100.0062747375506050364038346340706575205102411,017,500$
7Timur IbragimovX100.004844897552605040403644604072667020510251907,500$
8Stelio MattheosX100.006851697563605037403638504074676523500263575,000$
9Leon GawankeX100.0067637179625550584061565340746565225902611,232,000$
10Dysin MayoX100.008746607556625741403647554080715023580291575,000$
11Ryan JohnsonX100.004548787561706534403434704070707523580241750,000$
12Cameron CrottyX100.006856737573686331403330534074716522570261100,100$
13Alex Kannok-LeipertX100.006058587561635834403038594072687022560253575,000$
14Michael KrutilX100.007952847569555031403230544068628023550233575,000$
15Riley StillmanX100.007864577561555037403441514076666023550271575,000$
16Charlie Wright (R)X100.005843888753555033403630574066618522550223575,000$
17Axel AnderssonX100.0058568175595550324030346140726470225402511,119,250$
18Joey KeaneX100.006061777556555038403936504074656523530263575,000$
19Albin GreweX100.005960797549605032403530504070657520480243575,000$
20Maxim GolodX100.005769837552605034403435504072667020480253575,000$
21Sawyer Boulton (R)X100.007177338466605027402035574064629020480213575,000$
TEAM AVERAGE99.63655477796170695048495165487472651961
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
1Vitek Vanecek100.008260608673666767666996807350177002912,500,000$
Scratches
1Joonas Korpisalo93.008263639182797981807979848240147803122,500,000$
Farm Team
1Dustin Tokarski100.00775060865050505050505094721526590361575,000$
2Jaxson Stauber100.00755060855050505050506074626526570261650,000$
3Ilya Konovalov100.00765060855050505050506076636020570271770,000$
4Hugo Alnefelt100.007650608450505050505087706075205602411,017,500$
TEAM AVERAGE98.8378546186595858585858728069512163
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 ByramSharksD16310130100212623111813.04%2336222.673141354011165100.00%000000.7200000000
2Brett HowdenSharksC164812-420044355814446.90%1032620.4002210521011600048.71%38800000.7400000030
3Pavel ZachaSharksC122810-8601235359235.71%830025.060557460003680147.49%41900000.6700000102
4Connor BrownSharksRW16549-5002143973312.82%226416.54022954000000038.10%2100010.6800000100
5Adam LarssonSharksD16549-1522027164092712.50%2840125.114042459000070100.00%000000.4500000001
6Filip HronekSharksD16088-1426033232712220.00%1439524.730332059000174000.00%000000.4000000000
7Jakob PelletierSharksRW16628-26019203081420.00%120212.6400000000060030.77%1300000.7900000011
8Matej BlumelSharksLW1653826072333102215.15%121313.3400028000050042.31%2600000.7500000000
9Ryan StromeSharksRW16358-132012124211337.14%129618.5212316590000191065.00%2000000.5400000000
10Fabian ZetterlundSharksLW13347-1114047253082610.00%231724.461237480002651034.44%15100000.4400000100
11Patrik LaineSharksLW16257-98013154012325.00%331619.7811213560001440037.84%3700000.4400000010
12Kevin StenlundSharksC16246-86014201991510.53%121813.68112216000000055.29%25500000.5500000010
13Kevin BahlSharksD16145-2340479135127.69%1733721.08000655000053000.00%000000.3000000000
14Ty EmbersonSharksD16033-3395251282100.00%1520112.580000100002000.00%000000.3000100000
15David JiricekSharksD8022-700862110.00%411514.4300000000017000.00%000000.3500000000
16Maxwell CrozierSharksD8022240830110.00%2648.050000000009000.00%000000.6200000000
17Anthony DeangeloSharksD4011000034010.00%34110.370000000016000.00%000000.4800000000
18Kasperi KapanenSharksLW111010206220250.00%1666.0400000000050060.00%500000.3000000000
19Jesperi KotkaniemiSharksC16101-120314143127.14%21277.94000110001150057.14%13300000.1600000000
20Filip ZadinaSharksRW8000000030110.00%0324.06000010000000100.00%100000.0000000000
21Noah GregorSharksLW12000000302010.00%1262.180000000002000.00%400000.0000000000
22Mikael PyyhtiaSharksLW4000000020000.00%010.390000100000000.00%100000.0000000000
Team Total or Average2884377120-9820753513184611333509.33%139463016.08111930130578112115944148.24%147400010.5200100364
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 KorpisaloSharks1641010.8804.4288300655410000.0000151011
2Vitek VanecekSharks30100.8724.6877206470000.0000115000
Team Total or Average1941110.8794.4496020715880000.00001616011


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$3,716,292$No4,500,000$
UFA
Link / NHL Link
Anthony DeangeloSharksD301995-10-24No180 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$4,129,213$No
UFA
Link / NHL Link
Bowen ByramSharksD242001-06-13No205 Lbs6 ft1NoNoYes3Pro Only6,200,000$6,200,000$5,120,225$No6,200,000$6,200,000$
RFA
Link / NHL Link
Brett HowdenSharksC271998-03-29No201 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$2,477,528$No3,000,000$3,000,000$
UFA
Link / NHL Link
Connor BrownSharksRW311994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$2,477,528$No
UFA
Link / NHL Link
David JiricekSharksD222003-11-28No204 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$763,904$No
RFA
Link / NHL Link
Fabian Zetterlund (Out of Payroll)SharksLW261999-08-25No220 Lbs5 ft11NoNoYes5Pro & Farm4,000,000$4,000,000$3,303,371$No4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Link / NHL Link
Filip HronekSharksD281997-11-02No190 Lbs6 ft0YesNoYes6Pro Only1$1$1$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$2,498,174$No
RFA
Link / NHL Link
Jakob PelletierSharksRW242001-03-07No170 Lbs5 ft9NoNoNo1Pro & Farm1,017,500$1,017,500$840,295$No
RFA
Link / NHL Link
Jesperi KotkaniemiSharksC252000-07-06No203 Lbs6 ft3NoNoYes1Pro & Farm4,235,000$4,235,000$3,497,444$No
RFA
Link / NHL Link
Joonas Korpisalo (Out of Payroll)SharksG311994-04-28No182 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$2,064,607$No2,500,000$
UFA
Link / NHL Link
Kasperi KapanenSharksLW291996-07-23No194 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$3,000,000$2,477,528$No
UFA
Link / NHL Link
Kevin BahlSharksD252000-06-27No230 Lbs6 ft6NoNoNo7Pro & Farm2,000,000$2,000,000$1,651,685$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$1,651,685$No
UFA
Link / NHL Link
Matej BlumelSharksLW252000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm825,000$825,000$681,320$No
RFA
Link / NHL Link
Maxwell CrozierSharksD252000-04-19No198 Lbs6 ft3NoNoNo1Pro & Farm632,500$632,500$522,346$No
RFA
Link / NHL Link
Mikael PyyhtiaSharksLW242001-12-17No176 Lbs6 ft0NoNoNo3Pro & Farm575,000$575,000$474,860$No575,000$575,000$
RFA
Link / NHL Link
Noah GregorSharksLW271998-07-28No201 Lbs6 ft0NoNoNo1Pro & Farm1,232,000$1,232,000$1,017,438$No
UFA
Link / NHL Link
Patrik LaineSharksLW271998-04-19No208 Lbs6 ft4NoNoYes1Pro Only7,500,000$7,500,000$6,193,820$No
UFA
Link / NHL Link
Pavel ZachaSharksC281997-04-06No206 Lbs6 ft3NoNoYes4Pro Only5,500,000$5,500,000$4,542,135$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$4,129,213$No
UFA
Link / NHL Link
Ty EmbersonSharksD252000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,250,000$1,032,303$No
RFA
Link / NHL Link
Vitek VanecekSharksG291996-01-09No180 Lbs6 ft1NoNoYes1Pro & Farm2,500,000$2,500,000$2,064,607$No
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2427.17197 Lbs6 ft12.082,892,375$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
69,417,001$35,275,000$28,275,000$18,500,000$13,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett HowdenRyan Strome40122
2Patrik LaineKevin StenlundConnor Brown30122
3Matej BlumelJesperi KotkaniemiJakob Pelletier20122
4Noah GregorFilip Zadina10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek40122
2Bowen ByramKevin Bahl30122
3Ty EmbersonDavid Jiricek20122
4Adam LarssonFilip Hronek10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett HowdenRyan Strome60122
2Patrik LaineKevin StenlundConnor Brown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brett Howden60122
2Patrik LaineRyan Strome40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Adam LarssonFilip Hronek60122
2Brett Howden40122Bowen ByramKevin Bahl40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett Howden60122
2Patrik LaineRyan Strome40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam LarssonFilip Hronek60122
2Bowen ByramKevin Bahl40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brett HowdenRyan StromeAdam LarssonFilip Hronek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brett HowdenRyan StromeAdam LarssonFilip Hronek
Extra Forwards
Normal PowerPlayPenalty Kill
Mikael Pyyhtia, Jesperi Kotkaniemi, Matej BlumelMikael Pyyhtia, Jesperi KotkaniemiMatej Blumel
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Emberson, David Jiricek, Bowen ByramTy EmbersonDavid Jiricek, Bowen Byram
Penalty Shots
, Brett Howden, Patrik Laine, Ryan Strome, Kevin Stenlund
Goalie
#1 : , #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
1Avalanche1010000027-51010000027-50000000000000.0002460001103481115040412213133.33%6183.33%028356250.36%28164343.70%14726555.47%2618197137
2Blackhawks1000010045-11000010045-10000000000010.500481200022035121011238131429200.00%6183.33%028356250.36%28164343.70%14726555.47%2416267125
3Blues1010000037-41010000037-40000000000000.00035800012024751203226145120.00%3166.67%028356250.36%28164343.70%14726555.47%2416227137
4Canadiens1010000015-41010000015-40000000000000.000123001000266713041810225120.00%5180.00%028356250.36%28164343.70%14726555.47%2114277115
5Canucks1010000014-3000000000001010000014-300.00012300001020767037101428600.00%7357.14%028356250.36%28164343.70%14726555.47%2315247126
6Ducks11000000615000000000001100000061521.000610160023103512158034412195240.00%60100.00%028356250.36%28164343.70%14726555.47%2416227136
7Flames11000000422110000004220000000000021.0004812002200368199023108296116.67%4175.00%028356250.36%28164343.70%14726555.47%2618206137
8GoldenKnights21100000660211000006600000000000020.5006915002220592514200882232498225.00%14285.71%128356250.36%28164343.70%14726555.47%432852152411
9Jets1010000037-4000000000001010000037-400.0003580021002066804441419500.00%7185.71%028356250.36%28164343.70%14726555.47%1912287125
10Kings1010000024-2000000000001010000024-200.00024600002027126903112821300.00%40100.00%028356250.36%28164343.70%14726555.47%2315236126
11Oilers11000000431000000000001100000043121.00046100021104999310271182210220.00%4250.00%028356250.36%28164343.70%14726555.47%2416227136
12Panthers1010000025-31010000025-30000000000000.00024600101018693033121617200.00%7271.43%028356250.36%28164343.70%14726555.47%2013277114
13Predators1010000026-41010000026-40000000000000.0002460011002951113047111717500.00%6183.33%028356250.36%28164343.70%14726555.47%2416227137
14RedWings1010000005-51010000005-50000000000000.00000000000021610503792225500.00%9188.89%028356250.36%28164343.70%14726555.47%2012277126
15Wild1010000034-1000000000001010000034-100.0003690002102810135036716192150.00%7271.43%028356250.36%28164343.70%14726555.47%1913288124
Total16411001004371-281027001002448-24624000001923-490.28143771200013161404611391511692588139209351721115.28%951980.00%128356250.36%28164343.70%14726555.47%36624539512020198
_Since Last GM Reset16411001004371-281027001002448-24624000001923-490.28143771200013161404611391511692588139209351721115.28%951980.00%128356250.36%28164343.70%14726555.47%36624539512020198
_Vs Conference1348001004056-16724001002133-12624000001923-490.34640711110011161303961211251482477110161287601016.67%741579.73%128356250.36%28164343.70%14726555.47%3032043139716582
_Vs Division7430000023203321000001082422000001312180.5712339620088702267369840240698216838718.42%39879.49%128356250.36%28164343.70%14726555.47%164110166528944

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
169L6437712046158813920935100
All Games
GPWLOTWOTL SOWSOLGFGA
1641101004371
Home Games
GPWLOTWOTL SOWSOLGFGA
102701002448
Visitor Games
GPWLOTWOTL SOWSOLGFGA
62400001923
Last 10 Games
WLOTWOTL SOWSOL
280000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
721115.28%951980.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
13915116921316140
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
28356250.36%28164343.70%14726555.47%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
36624539512020198


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
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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
35262Blackhawks-Sharks-
37280Avalanche-Sharks-
40295Sharks-Bruins-
42313Sharks-RedWings-
43318Sharks-BlueJackets-
45340Sharks-Penguins-
48362Bruins-Sharks-
50377Canucks-Sharks-
52392Capitals-Sharks-
55411Sharks-Canucks-
57424Sharks-Oilers-
59438Sharks-Flames-
61462Sharks-Jets-
64481Mammoth-Sharks-
71512Sharks-Capitals-
72514Sharks-Panthers-
74531Sharks-Lightning-
77547Sharks-Mammoth-
78560Penguins-Sharks-
81583Senators-Sharks-
83601Sharks-GoldenKnights-
85610Oilers-Sharks-
86619Kings-Sharks-
88634Lightning-Sharks-
91653Sharks-Avalanche-
93665Sharks-Flames-
95680Sharks-Oilers-
97700Ducks-Sharks-
98711Mammoth-Sharks-
99724Kings-Sharks-
101739Jets-Sharks-
103751Sharks-Wild-
105763Sharks-Blackhawks-
108791Stars-Sharks-
111810Devils-Sharks-
113819Sharks-Mammoth-
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
Reece Newkirk
Reece Newkirk
AGE:24
SK:75
EN:60
DU:50
PH:36
PA:38
SC:34
DF:63
Timur Ibragimov
Timur Ibragimov
AGE:25
SK:75
EN:60
DU:50
PH:40
PA:36
SC:44
DF:60
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
Riley Stillman
Riley Stillman
AGE:27
SK:75
EN:55
DU:50
PH:37
PA:34
SC:41
DF:51
Axel Andersson
Axel Andersson
AGE:25
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
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 Strome654165278443-1082204731433155110.64%1211194118.2646861323391453721851.02%50.74827
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 Vanecek243100108170.8883.601326922779671390250.72755
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
203916411001004371-281027001002448-24624000001923-4943771200013161404611391511692588139209351721115.28%951980.00%128356250.36%28164343.70%14726555.47%36624539512020198
Total Regular Season165654084605051868348255871-104683027941202431463824682899-43182626143402620404523572972-615137248258338131633041218156316091312501421714162201679414980545851638821901371917495139618.63%8179169779.25%85281335550050.69%282965849248.38%132272644650.02%376422466540060132822286111214
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