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Game Center
Sharks
25-51-6, 56pts
4
FINAL
5 Oilers
53-23-6, 112pts
Team Stats
OTW1StreakOTL1
12-26-3Home Record27-10-4
13-25-3Away Record26-13-2
3-7-0Last 10 Games5-3-2
3.01Goals Per Game3.63
4.33Goals Against Per Game2.85
19.26%Power Play Percentage21.19%
79.26%Penalty Kill Percentage84.37%
Avalanche
27-47-8, 62pts
5
FINAL
6 Sharks
25-51-6, 56pts
Team Stats
OTL1StreakOTW1
17-20-4Home Record12-26-3
10-27-4Away Record13-25-3
2-6-2Last 10 Games3-7-0
2.96Goals Per Game3.01
4.21Goals Against Per Game4.33
15.21%Power Play Percentage19.26%
76.85%Penalty Kill Percentage79.26%
Team Leaders
Fabian ZetterlundGoals
Fabian Zetterlund
32
Filip HronekAssists
Filip Hronek
69
Filip HronekPoints
Filip Hronek
84
Noah GregorPlus/Minus
Noah Gregor
1
Joonas KorpisaloWins
Joonas Korpisalo
24
Dustin TokarskiSave Percentage
Dustin Tokarski
0.975

Team Stats
Goals For
247
3.01 GFG
Shots For
2391
29.16 Avg
Power Play Percentage
19.3%
73 GF
Offensive Zone Start
39.8%
Goals Against
355
4.33 GAA
Shots Against
2822
34.41 Avg
Penalty Kill Percentage
79.3%
84 GA
Defensive Zone Start
40.6%

Injury / Suspension
Fabian Zetterlund


Fabian Zetterlund

is out for 2 days because of a Exhaustion.
Team Info
General ManagerJean-Sébastien Gagnon
CoachDrew Bannister
DivisionPacific
ConferenceWestern
Captain
Assistant #1Ryan Strome
Assistant #2Kasperi Kapanen
Uniforms
Arena Info
NameWest Coast Arena
Capacity25,000
Attendance18,488
Season Tickets10,000
Roster Info
Pro Team29
Farm Team18
Contract Limit47 / 50
Prospects23
Salary Cap
Estimated Season Salary Cap76,947,976$
Available Salary Cap8,052,024$
Special Salary Cap Value0$
Players In Salary Cap28
Finance
Year to Date Revenue66,937,110$
Year To Date Expenses81,947,935$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account20,061,841$
Projected Bank Account20,061,841$
Team History
This Season25-51-6 (56PTS)
History672-835-133 (0.410%)
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
1Pavel ZachaX98.0072548585738596769080727453788255197402715,499,999$
2Ryan Strome (A)X100.0059576883598197668171616161868435216803125,000,000$
3Kyle OkposoX100.0066528079697789588352657472968710146703612,500,000$
4Kasperi Kapanen (A)X100.0061488679607993574058577840808050216602823,000,000$
5Patrik LaineX100.0047578379798055667354776384767860116602621$
6Robby FabbriX100.0067468183567689649357726250807850116602814,000,000$
7Brett HowdenX100.0068507977657792568053597640767760216502611,815,000$
8Jesperi KotkaniemiX100.0057518179667697598756626673727470216502413,850,000$
9Kevin StenlundX100.0064577575797698538644617840807850216502822,000,000$
10Nicklas BackstromX100.005450838364605067856965597598795196503717,000,000$
11Filip ZadinaX100.0058468580567792584051656560747665206402512,750,000$
12Matej BlumelX100.004844808160817160405565644072777021630241750,000$
13Filip HronekX95.0070468187568998714084588040788455207502777,000,000$
14Adam LarssonX100.0087567675728898554054568840888830147403234,500,000$
15Bowen ByramX99.0070497583588493644060697140707775197002346,200,000$
16Kevin BahlX100.0083677075887999514050527640727670217002411,017,500$
17Ty EmbersonX100.009949867962816459406554794072777016700241825,000$
Scratches
1Fabian ZetterlundX93.0074558284698699676860747865748065187102511,500,000$
2Noah GregorX100.0095498578577486534048586799767560186302611,120,000$
3Connor BrownX100.0051448778537692524049557140848040196203014,000,000$
4Alex Barre-BouletX100.0057418481467468554047646240787655206002711,470,000$
5Marian StudenicX100.0058458678527363534057497040767560286002611,240,000$
6Anthony DeangeloX100.0043427584497464624061625870827845156202925,000,000$
7Dysin MayoX100.008746667558716642404439594080765020610282575,000$
8Juuso RiikolaX100.008846817756555052404532504086713520580312575,000$
9Riley StillmanX100.007864697561555031402735564076666020550262575,000$
Farm Team
1Jakob PelletierX100.005838878140705254405356664070707540590231925,000$
2Nathan SmithX100.009943777560695946704646569076736040580261700,000$
3Peter AbbandonatoX100.005957877754605049705345604076686040560261910,000$
4Karl HenrikssonX100.006857867543736340403544604070727540530232925,000$
5Timur IbragimovX100.004844897552605040403644604072667040520241825,000$
6Reece NewkirkX100.006274837549605033403035604070657540490231925,000$
7Tim SoderlundX100.0045538875406050344038305099766860404802611,000,000$
8David JiricekX100.005354807573747255405753694066708539640212925,000$
9Maxwell Crozier (R)X100.006964797662715251405350714072727040630241575,000$
10Ryan Johnson (R)X100.004548847661737152405450714070727540630232750,000$
11Leon GawankeX100.0067637179625550584061565340746565406002511,120,000$
12Cameron CrottyX100.006856807573595436403537664074676540590251910,000$
13Austin StrandX100.0065557075645550404034455740786755405602711,012,000$
14Axel AnderssonX100.0058568175595550324030346140726470405502411,017,500$
15Thomas GregoireX100.004943807844555049404443504076666040540261940,000$
TEAM AVERAGE99.63655280786072725352515466517774582762
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 Korpisalo97.008297998964626164616089847340157003012,500,000$
2Vitek Vanecek100.008269708668696162616397807550226802822,500,000$
Scratches
1Dustin Tokarski100.00775060865050505050506094721520590352575,000$
Farm Team
1Jaxson Stauber (R)100.00755860855452515055504074636559590252650,000$
2Ilya Konovalov100.00765060855050505050506076636059570261700,000$
3Hugo Alnefelt100.00765760845050505050508770607520570231925,000$
TEAM AVERAGE99.5078646886565654545554728068513362
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Drew Bannister73877695795072CAN5055,000,000$


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
1Filip HronekSharksD82156984-5754093196128507311.72%142228627.89112435843020111326110.00%000000.7301000216
2Fabian ZetterlundSharksLW82323567-345801631622868620211.19%23186522.751416308131900082436247.39%26800000.7214000434
3Pavel ZachaSharksC69253762-325201012162258413511.11%16167424.277182552273101123013054.67%225000000.7403000340
4Kyle OkposoSharksC79243054-95601411721804912813.33%12140317.76316194120600041824255.97%149900010.7701000212
5Bowen ByramSharksD72103444-37240697214944846.71%89164622.874711822280113255200.00%000000.5300000211
6Adam LarssonSharksD82172744-351440257110161468510.56%159207525.3171017823100112281110.00%000000.4200000144
7Patrik LaineSharksLW69162440-281152275199621388.04%6130118.8737104021701121021052.59%13500000.6100001021
8Robby FabbriSharksC82191938-38500981461525212712.50%6124615.200226611012822056.01%133200010.6112000330
9Kasperi KapanenSharksRW82162036-3028078112163531399.82%15132816.2051638197011180133.33%9900000.5400000201
10Kevin StenlundSharksRW82161935-1940086631223910713.11%22103612.6433619910002200261.54%7800000.6800000241
11Ryan StromeSharksRW82142135-235010731181393810810.07%12156819.13410143531200011460249.80%50800000.4523101112
12Matej BlumelSharksLW82141933-25160269514937829.40%9115914.14101867000061028.99%6900000.5700000100
13Kevin BahlSharksD8152429-30173252495410235544.90%127167720.714711572200111200100.00%000000.3500113011
14Ty EmbersonSharksD5762127-1410201396559284510.17%71105718.55336361140000141100.00%000000.5100000002
15Anthony DeangeloSharksD5211314-18606262714133.70%3377914.99011335000068000.00%000000.3600000100
16Brett HowdenSharksC82358-7100224129113210.34%154695.7300011710151951048.38%30800000.3411000000
17Jesperi KotkaniemiSharksC82347-760112330111310.00%22723.320000130000190051.16%30100000.5101000000
18Dysin MayoSharksD13033-22005523000.00%1522217.0900004000026000.00%000000.2700000000
19Filip ZadinaSharksRW78213-164010243411165.88%24105.2600014000010152.38%2100000.1501000000
20Marian StudenicSharksLW13213-340712951022.22%117313.3500010000080127.27%1100000.3500000010
21Nicklas BackstromSharksC56033-60041314180.00%01192.1401129000030042.52%12700000.5000000000
22Connor BrownSharksRW2000000000000.00%010.790000000000000.00%000000.0000000000
23Noah GregorSharksC16000100010000.00%0120.7900004000050036.84%1900000.0000000000
Team Total or Average1477240429669-46990840171017982360756159910.17%7772378816.11691261956693014369442628241353.31%702500020.56517215242625
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 KorpisaloSharks75244050.8744.2740334128722690320.647177012112
2Vitek VanecekSharks2111110.8774.4585020635110000.00001256001
3Dustin TokarskiSharks20000.9751.0259001400000.0000014000
Team Total or Average98255160.8764.2649436135128200320.647178282113


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 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Adam LarssonSharksD321992-11-12No209 Lbs6 ft3NoNoYes3Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$
UFA
Link / NHL Link
Alex Barre-BouletSharksC271997-05-21No178 Lbs5 ft10NoNoNo1Pro & Farm1,470,000$1,470,000$0$No
UFA
Link / NHL Link
Anthony DeangeloSharksD291995-10-24No180 Lbs5 ft11NoNoYes2Pro Only5,000,000$5,000,000$0$No5,000,000$
UFA
Link / NHL Link
Bowen ByramSharksD232001-06-13No190 Lbs6 ft1NoNoNo4Pro Only6,200,000$6,200,000$0$No6,200,000$6,200,000$6,200,000$
RFA
Link / NHL Link
Brett HowdenSharksC261998-03-29No200 Lbs6 ft2NoNoNo1Pro & Farm1,815,000$1,815,000$0$No
RFA
Link / NHL Link
Connor BrownSharksRW301994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm4,000,000$4,000,000$0$No
UFA
Link / NHL Link
Dustin TokarskiSharksG351989-09-16No190 Lbs5 ft11NoNoNo2Pro & Farm575,000$575,000$0$No575,000$
UFA
Link / NHL Link
Dysin MayoSharksD281996-08-17No189 Lbs6 ft1NoNoNo2Pro & Farm575,000$575,000$0$No575,000$
UFA
Link / NHL Link
Fabian Zetterlund (Out of Payroll)SharksLW251999-08-25No220 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,500,000$0$No
RFA
Link / NHL Link
Filip Hronek (Out of Payroll)SharksD271997-11-02No190 Lbs6 ft0NoNoYes7Pro Only7,000,000$7,000,000$0$No7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Link / NHL Link
Filip ZadinaSharksRW251999-11-27No190 Lbs6 ft0NoNoYes1Pro & Farm2,750,000$2,750,000$0$No
RFA
Link / NHL Link
Jesperi KotkaniemiSharksC242000-07-06No201 Lbs6 ft2NoNoYes1Pro & Farm3,850,000$3,850,000$0$No
RFA
Link / NHL Link
Joonas KorpisaloSharksG301994-04-28No182 Lbs6 ft3NoNoYes1Pro & Farm2,500,000$2,500,000$0$No
UFA
Link / NHL Link
Juuso RiikolaSharksD311993-11-09No189 Lbs6 ft0NoNoNo2Pro & Farm575,000$575,000$0$No575,000$
UFA
Link / NHL Link
Kasperi KapanenSharksRW281996-07-23No194 Lbs6 ft1NoNoYes2Pro & Farm3,000,000$3,000,000$0$No3,000,000$
UFA
Link / NHL Link
Kevin BahlSharksD242000-06-27No230 Lbs6 ft6NoNoNo1Pro & Farm1,017,500$1,017,500$0$No
RFA
Link / NHL Link
Kevin StenlundSharksRW281996-09-20No215 Lbs6 ft5NoNoNo2Pro & Farm2,000,000$2,000,000$0$No2,000,000$
UFA
Link / NHL Link
Kyle OkposoSharksC361988-04-16No216 Lbs6 ft0NoNoYes1Pro & Farm2,500,000$2,500,000$0$No
UFA
Link / NHL Link
Marian StudenicSharksLW261998-10-28No178 Lbs6 ft1NoNoNo1Pro & Farm1,240,000$1,240,000$0$No
RFA
Link / NHL Link
Matej BlumelSharksLW242000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$No
RFA
Link / NHL Link
Nicklas BackstromSharksC371987-11-23No202 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$0$No
UFA
Link / NHL Link
Noah GregorSharksC261998-07-28No192 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$1,120,000$0$No
RFA
Link / NHL Link
Patrik LaineSharksLW261998-04-19No215 Lbs6 ft5YesNoYes2Pro Only1$1$0$No7,500,000$
UFA
Link / NHL Link
Pavel ZachaSharksC271997-04-06No207 Lbs6 ft4NoNoYes1Pro Only5,499,999$5,499,999$0$No
UFA
Link / NHL Link
Riley StillmanSharksD261998-03-09No196 Lbs6 ft1NoNoNo2Pro & Farm575,000$575,000$0$No575,000$
UFA
Link / NHL Link
Robby FabbriSharksC281996-01-22No185 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$4,000,000$0$No
UFA
Link / NHL Link
Ryan StromeSharksRW311993-07-11No191 Lbs6 ft1NoNoYes2Pro Only5,000,000$5,000,000$0$No5,000,000$
UFA
Link / NHL Link
Ty EmbersonSharksD242000-05-23No193 Lbs6 ft2NoNoNo1Pro & Farm825,000$825,000$0$No
RFA
Link / NHL Link
Vitek VanecekSharksG281996-01-09No180 Lbs6 ft1NoNoYes2Pro & Farm2,500,000$2,500,000$0$No2,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2927.97196 Lbs6 ft11.722,735,776$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
79,337,500$45,000,000$17,700,000$13,200,000$7,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pavel ZachaRyan Strome40122
2Patrik LaineKyle OkposoKevin Stenlund30122
3Matej BlumelRobby FabbriKasperi Kapanen20122
4Pavel ZachaJesperi KotkaniemiFilip Zadina10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson40122
2Bowen ByramKevin Bahl30122
3Ty EmbersonFilip Hronek20122
4Adam LarssonBowen Byram10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pavel ZachaRyan Strome60122
2Patrik LaineKyle OkposoKevin Stenlund40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson60122
2Bowen ByramKevin Bahl40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Pavel Zacha60122
2Ryan StromeKyle Okposo40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson60122
2Bowen ByramKevin Bahl40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Pavel Zacha60122Filip HronekAdam Larsson60122
240122Bowen ByramKevin Bahl40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Pavel Zacha60122
2Ryan StromeKyle Okposo40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson60122
2Bowen ByramKevin Bahl40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Pavel ZachaRyan StromeFilip HronekAdam Larsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Pavel ZachaRyan StromeFilip HronekAdam Larsson
Extra Forwards
Normal PowerPlayPenalty Kill
Brett Howden, Nicklas Backstrom, Robby FabbriBrett Howden, Nicklas BackstromRobby Fabbri
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Emberson, Kevin Bahl, Filip HronekTy EmbersonKevin Bahl, Filip Hronek
Penalty Shots
Pavel Zacha, , Ryan Strome, Kyle Okposo, Patrik Laine
Goalie
#1 : Joonas Korpisalo, #2 : Vitek Vanecek


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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
1Avalanche31101000121022100100010731010000023-140.667121931002451105283439410132246818422.22%12283.33%01549281655.01%1472287651.18%772138455.78%735168233819
2Blackhawks31100010121022010001067-11100000063340.6671219310046128623283449418326911218.18%16568.75%01549281655.01%1472287651.18%772138455.78%714773234019
3BlueJacket211000006601010000035-21100000031220.50061218003030502119100601516466233.33%8187.50%01549281655.01%1472287651.18%772138455.78%372354182712
4Blues30300000418-1420200000312-91010000016-500.00048120021107729202801302844571200.00%21861.90%01549281655.01%1472287651.18%772138455.78%654376233717
5Bruins21000001770110000003211000000145-130.750712190032206312153276914323315533.33%14285.71%11549281655.01%1472287651.18%772138455.78%503248162513
6Canadiens20200000512-71010000046-21010000016-500.0005101510311046249130813128529111.11%13376.92%01549281655.01%1472287651.18%772138455.78%372359162310
7Canucks40400000924-1520200000411-720200000513-800.00091827005130122473738016267549813215.38%22672.73%01549281655.01%1472287651.18%772138455.78%8052110304923
8Capitals20100010660100000104311010000023-120.50061016000052451781910602020318112.50%100100.00%01549281655.01%1472287651.18%772138455.78%432753172713
9Coyotes43100000161152110000066022000000105560.750163147007540137405047013627369912325.00%17476.47%01549281655.01%1472287651.18%772138455.78%956794294923
10Devils2020000029-71010000025-31010000004-400.000246001010592810210531333201218.33%9277.78%01549281655.01%1472287651.18%772138455.78%483346142412
11Ducks412001001516-12100010064220200000912-330.375152843016360109392939213738308113215.38%14192.86%01549281655.01%1472287651.18%772138455.78%8960100305124
12Flames430001002113822000000116521000100107370.87521365700510602006871610129233796331133.33%14285.71%11549281655.01%1472287651.18%772138455.78%1067583275026
13Flyers20100100510-51000010045-11010000015-410.250581300410056211520083203641600.00%12466.67%01549281655.01%1472287651.18%772138455.78%453153152411
14GoldenKnights42200000131302020000048-42200000095440.500132437007330106373534011428436918316.67%18194.44%01549281655.01%1472287651.18%772138455.78%916095325326
15Hurricanes20200000211-91010000016-51010000015-400.00024600200030131070612420446116.67%10280.00%01549281655.01%1472287651.18%772138455.78%392554152511
16Islanders20200000412-81010000007-71010000045-100.00046100003104615151606622183911218.18%9277.78%01549281655.01%1472287651.18%772138455.78%442950152412
17Jets312000001014-41010000057-22110000057-220.3331016261033408828223801002830671417.14%15286.67%01549281655.01%1472287651.18%772138455.78%725069213818
18Kings412010001315-22020000049-52100100096340.500132538008221117483335113533358618422.22%15286.67%01549281655.01%1472287651.18%772138455.78%916198305125
19Lightning21100000752110000005231010000023-120.500713200025004913261005611324610440.00%16287.50%01549281655.01%1472287651.18%772138455.78%463047152512
20MapleLeafs2110000046-2110000003121010000015-420.50047110012103371412060151447500.00%6266.67%01549281655.01%1472287651.18%772138455.78%412751152612
21Oilers50500000922-132020000039-630300000613-700.000915240033301354040550180496911026415.38%28485.71%01549281655.01%1472287651.18%772138455.78%9863138396328
22Panthers20200000915-61010000056-11010000049-500.000917260033306514163507621264410440.00%11463.64%01549281655.01%1472287651.18%772138455.78%442950152511
23Penguins22000000963110000006421100000032141.000916250023407526163305515204318211.11%9366.67%11549281655.01%1472287651.18%772138455.78%473347162412
24Predators30300000814-62020000058-31010000036-300.00081422007100912923390974537599333.33%15473.33%01549281655.01%1472287651.18%772138455.78%634377243916
25Rangers211000007701010000023-11100000054120.50071421002320662520210661816319333.33%8275.00%01549281655.01%1472287651.18%772138455.78%473246152613
26RedWings2020000028-61010000014-31010000014-300.000246000110512213160531410301616.25%5180.00%01549281655.01%1472287651.18%772138455.78%493244142513
27Sabres2020000028-61010000014-31010000014-300.0002350011004714151801002030411100.00%13284.62%01549281655.01%1472287651.18%772138455.78%402654162512
28Senators20100001913-41000000156-11010000047-310.25091221003331552214183862418507342.86%7271.43%01549281655.01%1472287651.18%772138455.78%432854142613
29Stars301011001317-41010000048-42000110099030.500131932003451109273842211131425815213.33%20480.00%01549281655.01%1472287651.18%772138455.78%664478223617
30Wild30300000617-111010000025-320200000412-800.000612180032107321302201113438658225.00%18572.22%01549281655.01%1472287651.18%772138455.78%664577213617
Total82205103422247355-1084192601221122176-5441112502201125179-54560.341247436683219576718239179872585233282277892017203797319.26%4058479.26%31549281655.01%1472287651.18%772138455.78%1841123420596331048507
_Since Last GM Reset82205103422247355-1084192601221122176-5441112502201125179-54560.341247436683219576718239179872585233282277892017203797319.26%4058479.26%31549281655.01%1472287651.18%772138455.78%1841123420596331048507
_Vs Conference50133003310161214-53255170111073107-34258130220088107-19370.370161284445116548445155550449055113173748155110822204319.55%2455079.59%11549281655.01%1472287651.18%772138455.78%11337681240380636306
_Vs Division2910160120096114-181449001003853-151567011005861-3240.4149617727301412727192631929530939932653046391332921.80%1282084.38%11549281655.01%1472287651.18%772138455.78%653442720220369178

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8256OTW124743668323912822778920172021
All Games
GPWLOTWOTL SOWSOLGFGA
8220513422247355
Home Games
GPWLOTWOTL SOWSOLGFGA
419261221122176
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4111252201125179
Last 10 Games
WLOTWOTL SOWSOL
271000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3797319.26%4058479.26%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
798725852339576718
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1549281655.01%1472287651.18%772138455.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1841123420596331048507


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
11Ducks4Sharks3BLXBoxScore
316Sharks4Kings3AWXBoxScore
635Sharks4Islanders5ALBoxScore
740Sharks1Flyers5ALBoxScore
953Sharks5Rangers4AWBoxScore
1171Sharks0Devils4ALBoxScore
1595Sabres4Sharks1BLBoxScore
17110Islanders7Sharks0BLBoxScore
20127Sharks3Predators6ALBoxScore
23144Sharks1Hurricanes5ALBoxScore
25159Sharks5Ducks6ALBoxScore
27176Rangers3Sharks2BLBoxScore
29188BlueJacket5Sharks3BLBoxScore
31203Flyers5Sharks4BLXBoxScore
34220Wild5Sharks2BLBoxScore
36229Sharks4Stars5ALXBoxScore
37238Sharks1Blues6ALBoxScore
39256Flames2Sharks4BWBoxScore
41272Predators4Sharks2BLBoxScore
43285MapleLeafs1Sharks3BWBoxScore
45301Blues5Sharks1BLBoxScore
48317Oilers4Sharks3BLBoxScore
50342Canucks6Sharks2BLBoxScore
51357Sharks5GoldenKnights3AWBoxScore
54367Sharks1Sabres4ALBoxScore
55381Sharks1MapleLeafs5ALBoxScore
58404Sharks4Senators7ALBoxScore
59410Sharks1Canadiens6ALBoxScore
62427Hurricanes6Sharks1BLBoxScore
64441Sharks5Stars4AWXBoxScore
65444Sharks5Coyotes2AWBoxScore
67463Devils5Sharks2BLBoxScore
70484Stars8Sharks4BLBoxScore
73507Sharks6Blackhawks3AWBoxScore
75523Sharks1Wild6ALBoxScore
77538Jets7Sharks5BLBoxScore
79555Kings4Sharks2BLBoxScore
80564Coyotes2Sharks4BWBoxScore
81574Ducks0Sharks3BWBoxScore
83588Sharks0Oilers4ALBoxScore
85603Sharks3Flames4ALXBoxScore
87616Sharks2Avalanche3ALBoxScore
90642Lightning2Sharks5BWBoxScore
92655Kings5Sharks2BLBoxScore
93662Oilers5Sharks0BLBoxScore
95682Sharks4GoldenKnights2AWBoxScore
97696Senators6Sharks5BLXXBoxScore
100719Penguins4Sharks6BWBoxScore
101721Sharks5Coyotes3AWBoxScore
104749Sharks2Lightning3ALBoxScore
106757Sharks4Panthers9ALBoxScore
107764Sharks2Capitals3ALBoxScore
114799Coyotes4Sharks2BLBoxScore
117819Sharks2Jets6ALBoxScore
119825Sharks7Flames3AWBoxScore
121841Sharks2Oilers4ALBoxScore
123861Sharks1Canucks6ALBoxScore
126884Capitals3Sharks4BWXXBoxScore
128900Canucks5Sharks2BLBoxScore
130915Bruins2Sharks3BWBoxScore
133936Sharks3Penguins2AWBoxScore
135946Sharks3BlueJacket1AWBoxScore
136958Sharks1RedWings4ALBoxScore
138969Sharks4Bruins5ALXXBoxScore
141997Avalanche2Sharks4BWBoxScore
1431015Blackhawks3Sharks4BWXXBoxScore
1471042Canadiens6Sharks4BLBoxScore
1491057Blues7Sharks2BLBoxScore
1511068Sharks3Wild6ALBoxScore
1521079Sharks3Jets1AWBoxScore
1541091Panthers6Sharks5BLBoxScore
1561108Predators4Sharks3BLBoxScore
1581120GoldenKnights4Sharks2BLBoxScore
1611142Sharks5Kings3AWBoxScore
1621148Sharks4Ducks6ALBoxScore
1651173RedWings4Sharks1BLBoxScore
1681194Blackhawks4Sharks2BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1701211GoldenKnights4Sharks2BLBoxScore
1711220Flames4Sharks7BWBoxScore
1731238Sharks4Canucks7ALBoxScore
1751245Sharks4Oilers5ALBoxScore
1771269Avalanche5Sharks6BWXBoxScore


Depth Chart
Left WingCenterRight Wing
Fabian Zetterlund
Fabian Zetterlund
AGE:25
SK:84
EN:86
DU:99
PH:67
PA:60
SC:74
DF:78
Patrik Laine
Patrik Laine
AGE:26
SK:79
EN:80
DU:55
PH:66
PA:54
SC:77
DF:63
Matej Blumel
Matej Blumel
AGE:24
SK:81
EN:81
DU:71
PH:60
PA:55
SC:65
DF:64
Marian Studenic
Marian Studenic
AGE:26
SK:78
EN:73
DU:63
PH:53
PA:57
SC:49
DF:70
Jakob Pelletier
Jakob Pelletier
AGE:23
SK:81
EN:70
DU:52
PH:54
PA:53
SC:56
DF:66
Karl Henriksson
Karl Henriksson
AGE:23
SK:75
EN:73
DU:63
PH:40
PA:35
SC:44
DF:60
Timur Ibragimov
Timur Ibragimov
AGE:24
SK:75
EN:60
DU:50
PH:40
PA:36
SC:44
DF:60
Reece Newkirk
Reece Newkirk
AGE:23
SK:75
EN:60
DU:50
PH:33
PA:30
SC:35
DF:60
Tim Soderlund
Tim Soderlund
AGE:26
SK:75
EN:60
DU:50
PH:34
PA:38
SC:30
DF:50
Pavel Zacha
Pavel Zacha
AGE:27
SK:85
EN:85
DU:96
PH:76
PA:80
SC:72
DF:74
Kyle Okposo
Kyle Okposo
AGE:36
SK:79
EN:77
DU:89
PH:58
PA:52
SC:65
DF:74
Robby Fabbri
Robby Fabbri
AGE:28
SK:83
EN:76
DU:89
PH:64
PA:57
SC:72
DF:62
Jesperi Kotkaniemi
Jesperi Kotkaniemi
AGE:24
SK:79
EN:76
DU:97
PH:59
PA:56
SC:62
DF:66
Brett Howden
Brett Howden
AGE:26
SK:77
EN:77
DU:92
PH:56
PA:53
SC:59
DF:76
Nicklas Backstrom
Nicklas Backstrom
AGE:37
SK:83
EN:60
DU:50
PH:67
PA:69
SC:65
DF:59
Noah Gregor
Noah Gregor
AGE:26
SK:78
EN:74
DU:86
PH:53
PA:48
SC:58
DF:67
Alex Barre-Boulet
Alex Barre-Boulet
AGE:27
SK:81
EN:74
DU:68
PH:55
PA:47
SC:64
DF:62
Nathan Smith
Nathan Smith
AGE:26
SK:75
EN:69
DU:59
PH:46
PA:46
SC:46
DF:56
Peter Abbandonato
Peter Abbandonato
AGE:26
SK:77
EN:60
DU:50
PH:49
PA:53
SC:45
DF:60
Ryan Strome
Ryan Strome
AGE:31
SK:83
EN:81
DU:97
PH:66
PA:71
SC:61
DF:61
Kasperi Kapanen
Kasperi Kapanen
AGE:28
SK:79
EN:79
DU:93
PH:57
PA:58
SC:57
DF:78
Kevin Stenlund
Kevin Stenlund
AGE:28
SK:75
EN:76
DU:98
PH:53
PA:44
SC:61
DF:78
Filip Zadina
Filip Zadina
AGE:25
SK:80
EN:77
DU:92
PH:58
PA:51
SC:65
DF:65
Connor Brown
Connor Brown
AGE:30
SK:78
EN:76
DU:92
PH:52
PA:49
SC:55
DF:71

Defense #1Defense #2Goalie
Filip Hronek
Filip Hronek
AGE:27
SK:87
EN:89
DU:98
PH:71
PA:84
SC:58
DF:80
Adam Larsson
Adam Larsson
AGE:32
SK:75
EN:88
DU:98
PH:55
PA:54
SC:56
DF:88
Bowen Byram
Bowen Byram
AGE:23
SK:83
EN:84
DU:93
PH:64
PA:60
SC:69
DF:71
Kevin Bahl
Kevin Bahl
AGE:24
SK:75
EN:79
DU:99
PH:51
PA:50
SC:52
DF:76
Ty Emberson
Ty Emberson
AGE:24
SK:79
EN:81
DU:64
PH:59
PA:65
SC:54
DF:79
David Jiricek
David Jiricek
AGE:21
SK:75
EN:74
DU:72
PH:55
PA:57
SC:53
DF:69
Ryan Johnson (R)
Ryan Johnson
AGE:23
SK:76
EN:73
DU:71
PH:52
PA:54
SC:50
DF:71
Maxwell Crozier (R)
Maxwell Crozier
AGE:24
SK:76
EN:71
DU:52
PH:51
PA:53
SC:50
DF:71
Anthony Deangelo
Anthony Deangelo
AGE:29
SK:84
EN:74
DU:64
PH:62
PA:61
SC:62
DF:58
Dysin Mayo
Dysin Mayo
AGE:28
SK:75
EN:71
DU:66
PH:42
PA:44
SC:39
DF:59
Leon Gawanke
Leon Gawanke
AGE:25
SK:79
EN:55
DU:50
PH:58
PA:61
SC:56
DF:53
Cameron Crotty
Cameron Crotty
AGE:25
SK:75
EN:59
DU:54
PH:36
PA:35
SC:37
DF:66
Juuso Riikola
Juuso Riikola
AGE:31
SK:77
EN:55
DU:50
PH:52
PA:45
SC:32
DF:50
Austin Strand
Austin Strand
AGE:27
SK:75
EN:55
DU:50
PH:40
PA:34
SC:45
DF:57
Axel Andersson
Axel Andersson
AGE:24
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
Riley Stillman
Riley Stillman
AGE:26
SK:75
EN:55
DU:50
PH:31
PA:27
SC:35
DF:56
Thomas Gregoire
Thomas Gregoire
AGE:26
SK:78
EN:55
DU:50
PH:49
PA:44
SC:43
DF:50
Joonas Korpisalo
Joonas Korpisalo
AGE:30
SK:82
AG:64
RB:62
SC:61
HS:64
RT:61
DF:60
Vitek Vanecek
Vitek Vanecek
AGE:28
SK:82
AG:68
RB:69
SC:61
HS:62
RT:61
DF:63
Jaxson Stauber (R)
Jaxson Stauber
AGE:25
SK:75
AG:54
RB:52
SC:51
HS:50
RT:55
DF:50
Dustin Tokarski
Dustin Tokarski
AGE:35
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Hugo Alnefelt
Hugo Alnefelt
AGE:23
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Ilya Konovalov
Ilya Konovalov
AGE:26
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
Axel LandenSharks2037163
Chase CheslockSharks2037194
Damian ClaraSharks203765
Daniil ChechelevSharks2034102
Dominic BasseSharks2033178
Florian XhekajSharks203790
Ian ScottSharks2031147
Jacob GoldenSharks2031190
Jaromir PytlikSharks203493
Jesse NurmiSharks2037145
Jonathan CastagnaSharks203794
Julius MiettinenSharks203840
Kalan LindSharks203757
Kirill UstimenkoSharks2031126
Marcus KarlbergSharks203296
Paul FischerSharks2037168
Sacha BoisvertSharks203816
Sean KeohaneSharks2037214
Thimo NicklSharks2034124
Visa VedenpaaSharks2037209

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2039
2040
2041



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 Strome638162273435-952184611421150910.74%1201164518.2545841293231453720851.00%50.75827
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 Vanecek240100107170.8893.591319220779070920250.72755
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
Total Regular Season164053683505050868347825800-101882027740502430463824442851-40782025943002620404523382949-611136347828261130433041205154715951312496811575160691662514978539971624921692368407423138518.66%8084167879.24%84278505493850.69%280155784948.43%130802618149.96%372762442039664131622266011115
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