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Game Center
Sharks
2-4-1, 5pts
0
FINAL
4 Devils
3-2-0, 6pts
Team Stats
L2StreakW1
0-1-1Home Record3-2-0
2-3-0Away Record0-0-0
2-4-1Last 10 Games3-2-0
2.57Goals Per Game3.40
4.14Goals Against Per Game2.80
15.00%Power Play Percentage16.00%
73.68%Penalty Kill Percentage80.00%
Sabres
6-1-0, 12pts
4
FINAL
1 Sharks
2-4-1, 5pts
Team Stats
W1StreakL2
3-1-0Home Record0-1-1
3-0-0Away Record2-3-0
6-1-0Last 10 Games2-4-1
4.71Goals Per Game2.57
3.57Goals Against Per Game4.14
16.67%Power Play Percentage15.00%
83.87%Penalty Kill Percentage73.68%
Islanders
3-2-1, 7pts
Day 17
Sharks
2-4-1, 5pts
Team Stats
L2StreakL2
1-0-1Home Record0-1-1
2-2-0Away Record2-3-0
3-2-1Last 10 Games2-4-1
3.67Goals Per Game2.57
3.83Goals Against Per Game4.14
29.63%Power Play Percentage15.00%
68.97%Penalty Kill Percentage73.68%
Sharks
2-4-1, 5pts
Day 20
Predators
4-2-1, 9pts
Team Stats
L2StreakW1
0-1-1Home Record2-1-1
2-3-0Away Record2-1-0
2-4-1Last 10 Games4-2-1
2.57Goals Per Game2.71
4.14Goals Against Per Game2.86
15.00%Power Play Percentage24.14%
73.68%Penalty Kill Percentage74.36%
Sharks
2-4-1, 5pts
Day 23
Hurricanes
5-1-1, 11pts
Team Stats
L2StreakW5
0-1-1Home Record2-1-0
2-3-0Away Record3-0-1
2-4-1Last 10 Games5-1-1
2.57Goals Per Game4.57
4.14Goals Against Per Game3.43
15.00%Power Play Percentage27.27%
73.68%Penalty Kill Percentage88.89%
Team Leaders
Drake BathersonGoals
Drake Batherson
6
Pavel ZachaAssists
Pavel Zacha
5
Drake BathersonPoints
Drake Batherson
9
Jesperi KotkaniemiPlus/Minus
Jesperi Kotkaniemi
0
Joonas KorpisaloWins
Joonas Korpisalo
2
Vitek VanecekSave Percentage
Vitek Vanecek
1

Team Stats
Goals For
18
2.57 GFG
Shots For
215
30.71 Avg
Power Play Percentage
15.0%
6 GF
Offensive Zone Start
42.9%
Goals Against
29
4.14 GAA
Shots Against
214
30.57 Avg
Penalty Kill Percentage
73.7%
5 GA
Defensive Zone Start
37.5%
Injury / Suspension
No Injury or Suspension.
Team Info
General Manager
CoachDrew Bannister
DivisionPacific
ConferenceWestern
Captain
Assistant #1Ryan Strome
Assistant #2Kasperi Kapanen
Uniforms
Arena Info
NameWest Coast Arena
Capacity25,000
Attendance19,407
Season Tickets10,000
Roster Info
Pro Team27
Farm Team19
Contract Limit46 / 50
Prospects22
Salary Cap
Estimated Season Salary Cap80,648,238$
Available Salary Cap4,351,762$
Special Salary Cap Value0$
Players In Salary Cap27
Finance
Year to Date Revenue3,418,970$
Year To Date Expenses7,629,148$
Estimated Season Revenue66,669,915$
Estimated Season Expenses78,018,990$
Current Bank Account32,450,484$
Projected Bank Account19,477,383$
Team History
This Season2-4-1 (5PTS)
History649-788-129 (0.414%)
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.
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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
1Drake BathersonX98.0068528087698599787678786879768160187502646,000,000$
2Fabian ZetterlundX100.0074558284698699676860747865748065197102511,500,000$
3Ryan Strome (A)X100.0059576883598197668171616161868435196803125,000,000$
4Robby FabbriX100.0067468183567689649357726250807850196702814,000,000$
5Patrik LaineX100.0047578379798055667354776384767860196602621$
6Brett HowdenX100.0068507977657792568053597640767760196502611,815,000$
7Kasperi Kapanen (A)X100.0061488679607993574058577840808050196502823,000,000$
8Jesperi KotkaniemiX100.0057518179667697598756626673727470196502413,850,000$
9Kevin StenlundX100.0064577575797698538644617840807850196502822,000,000$
10Nicklas BackstromX100.005450838364605067856965597598795196503717,000,000$
11Filip ZadinaX100.0058468580567792584051656560747665196402512,750,000$
12Matej BlumelX100.004844808160817160405565644072777019630241750,000$
13Filip HronekX100.0070468187568998714084588040788455197502777,000,000$
14Adam LarssonX100.0087567675728898554054568840888830197403234,500,000$
15Bowen ByramX100.0070497583588493644060697140707775197002346,200,000$
16Kevin BahlX100.0083677075887999514050527640727670217002411,017,500$
17Anthony DeangeloX100.0043427584497464624061625870827845196302925,000,000$
Scratches
1Pavel ZachaX95.0072548585738596769080727453788255187402715,499,999$
2Noah GregorX100.0095498578577486534048586799767560206302611,120,000$
3Connor BrownX100.0051448778537692524049557140848040206203014,000,000$
4Alex Barre-BouletX100.0057418481467468554047646240787655206002711,470,000$
5Dysin MayoX100.008746667558716642404439594080765020610282575,000$
6Juuso RiikolaX100.008846817756555052404532504086713520580312575,000$
7Riley StillmanX100.007864697561555031402735564076666020550262575,000$
Farm Team
1Marian StudenicX100.0058458678527363534057497040767560226002611,240,000$
2Jakob PelletierX100.005838878140705254405356664070707522580231925,000$
3Nathan SmithX100.009943777560695946704646569076736022570261700,000$
4Peter AbbandonatoX100.005957877754605049705345604076686022560261910,000$
5Karl HenrikssonX100.006857867543736340403544604070727522530232925,000$
6Timur IbragimovX100.004844897552605040403644604072667022510241825,000$
7Reece NewkirkX100.006274837549605033403035604070657522490231925,000$
8Tim SoderlundX100.0045538875406050344038305099766860224802611,000,000$
9Ty EmbersonX100.009949867962816459406554794072777022700241825,000$
10Maxwell Crozier (R)X100.006964797662715251405350714072727022630241575,000$
11Ryan Johnson (R)X100.004548847661737152405450714070727522620232750,000$
12Cameron CrottyX100.006856807573595436403537664074676522590251910,000$
13Leon GawankeX100.0067637179625550584061565340746565225902511,120,000$
14Austin StrandX100.0065557075645550404034455740786755225602711,012,000$
15Axel AnderssonX100.0058568175595550324030346140726470225402411,017,500$
16Thomas GregoireX100.004943807844555049404443504076666022540261940,000$
TEAM AVERAGE99.83665280796072725452525466517774582062
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 Korpisalo100.008297998964626164616089847340187003012,500,000$
2Vitek Vanecek100.008269708668696162616397807550206802822,500,000$
Scratches
1Dustin Tokarski100.00775060865050505050506094721520590352575,000$
Farm Team
1Jaxson Stauber (R)100.00755860855452515055504074636524580252650,000$
2Ilya Konovalov100.00765060855050505050506076636024570261700,000$
3Hugo Alnefelt100.00765760845050505050508770607520570231925,000$
TEAM AVERAGE100.0078646886565654545554728068512162
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
1Drake BathersonSharksRW7639-5809242751522.22%016924.164267350001180050.85%5900011.0600000100
2Pavel ZachaSharksC7358-4209142441412.50%017224.630335350001181049.74%19500000.9300000100
3Fabian ZetterlundSharksLW7246-5201211247198.33%214921.372241135000081057.89%1900000.8000000001
4Bowen ByramSharksD7044-3007419670.00%716824.100221030000015000.00%000000.4700000000
5Robby FabbriSharksC7134-200514117149.09%09213.1800000000010065.96%9400000.8700000010
6Filip HronekSharksD7033-520141816530.00%720128.780001233000115000.00%000000.3000000000
7Kasperi KapanenSharksRW7033-500610135100.00%014220.37000430000000061.54%1300000.4200000000
8Patrik LaineSharksLW7123-40036127188.33%314420.60000031000000085.71%700000.4200000000
9Anthony DeangeloSharksD7112-4000262116.67%210915.670000700008000.00%000000.3600000000
10Kevin BahlSharksD7022-81352088250.00%517224.6601162700008000.00%000000.2300100000
11Ryan StromeSharksC7202-54011171641312.50%314821.22000431000050049.40%16800000.2700000100
12Filip ZadinaSharksRW7101-20031186412.50%19012.980000000000010.00%300000.2200000000
13Adam LarssonSharksD7011-4120161213680.00%1317725.3300063400009000.00%000000.1100000000
14Matej BlumelSharksLW7101-20021216486.25%19012.9200000000000066.67%600000.2200000000
15Brett HowdenSharksC7000-100210230.00%0162.4000002000050053.85%1300000.0000000000
16Jesperi KotkaniemiSharksC7000000000000.00%030.43000010000000100.00%100000.0000000000
17Kevin StenlundSharksC7000000001000.00%050.7200012000000075.00%400000.0000000000
18Nicklas BackstromSharksC7000-100021100.00%0182.6000000000000052.38%2100000.0000000000
Team Total or Average126183149-60435119166215731428.37%44207216.45610166634000031162153.57%60300010.4700100311
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 KorpisaloSharks72410.8624.2940620292100100.000070000
2Vitek VanecekSharks10001.0000.001600040000.000007000
Team Total or Average82410.8644.1242220292140100.000077000


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$4,093,220$No4,500,000$4,500,000$
UFA
Link / NHL Link
Alex Barre-BouletSharksC271997-05-21No178 Lbs5 ft10NoNoNo1Pro & Farm1,470,000$1,470,000$1,337,119$No
UFA
Link / NHL Link
Anthony DeangeloSharksD291995-10-24No180 Lbs5 ft11NoNoYes2Pro Only5,000,000$5,000,000$4,548,023$No5,000,000$
UFA
Link / NHL Link
Bowen ByramSharksD232001-06-13No190 Lbs6 ft1NoNoNo4Pro Only6,200,000$6,200,000$5,639,548$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$1,650,932$No
RFA
Link / NHL Link
Connor BrownSharksRW301994-01-14No184 Lbs6 ft0NoNoYes1Pro & Farm4,000,000$4,000,000$3,638,418$No
UFA
Link / NHL Link
Drake BathersonSharksRW261998-04-27No203 Lbs6 ft3NoNoYes4Pro Only6,000,000$6,000,000$5,457,627$No6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Dustin TokarskiSharksG351989-09-16No190 Lbs5 ft11NoNoNo2Pro & Farm575,000$575,000$523,023$No575,000$
UFA
Link / NHL Link
Dysin MayoSharksD281996-08-17No189 Lbs6 ft1NoNoNo2Pro & Farm575,000$575,000$523,023$No575,000$
UFA
Link / NHL Link
Fabian ZetterlundSharksLW251999-08-25No220 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,500,000$1,364,407$No
RFA
Link / NHL Link
Filip HronekSharksD271997-11-02No190 Lbs6 ft0NoNoYes7Pro Only7,000,000$7,000,000$6,367,232$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$2,501,412$No
RFA
Link / NHL Link
Jesperi KotkaniemiSharksC242000-07-06No201 Lbs6 ft2NoNoYes1Pro & Farm3,850,000$3,850,000$3,501,977$No
RFA
Link / NHL Link
Joonas KorpisaloSharksG301994-04-28No182 Lbs6 ft3NoNoYes1Pro & Farm2,500,000$2,500,000$2,274,011$No
UFA
Link / NHL Link
Juuso RiikolaSharksD311993-11-09No189 Lbs6 ft0NoNoNo2Pro & Farm575,000$575,000$523,023$No575,000$
UFA
Link / NHL Link
Kasperi KapanenSharksRW281996-07-23No194 Lbs6 ft1NoNoYes2Pro & Farm3,000,000$3,000,000$2,728,814$No3,000,000$
UFA
Link / NHL Link
Kevin BahlSharksD242000-06-27No230 Lbs6 ft6NoNoNo1Pro & Farm1,017,500$1,017,500$925,523$No
RFA
Link / NHL Link
Kevin StenlundSharksC281996-09-20No215 Lbs6 ft5NoNoNo2Pro & Farm2,000,000$2,000,000$1,819,209$No2,000,000$
UFA
Link / NHL Link
Matej BlumelSharksLW242000-05-31No198 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$682,203$No
RFA
Link / NHL Link
Nicklas BackstromSharksC371987-11-23No202 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$6,367,232$No
UFA
Link / NHL Link
Noah GregorSharksC261998-07-28No192 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$1,120,000$1,018,757$No
RFA
Link / NHL Link
Patrik LaineSharksLW261998-04-19No215 Lbs6 ft5YesNoYes2Pro Only1$1$1$No7,500,000$
UFA
Link / NHL Link
Pavel Zacha (Out of Payroll)SharksC271997-04-06No207 Lbs6 ft4NoNoYes1Pro Only5,499,999$5,499,999$5,002,824$No
UFA
Link / NHL Link
Riley StillmanSharksD261998-03-09No196 Lbs6 ft1NoNoNo2Pro & Farm575,000$575,000$523,023$No575,000$
UFA
Link / NHL Link
Robby FabbriSharksC281996-01-22No185 Lbs6 ft1NoNoYes1Pro & Farm4,000,000$4,000,000$3,638,418$No
UFA
Link / NHL Link
Ryan StromeSharksC311993-07-11No191 Lbs6 ft1NoNoYes2Pro Only5,000,000$5,000,000$4,548,023$No5,000,000$
UFA
Link / NHL Link
Vitek VanecekSharksG281996-01-09No180 Lbs6 ft1NoNoYes2Pro & Farm2,500,000$2,500,000$2,274,011$No2,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2727.81196 Lbs6 ft11.892,991,574$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
80,772,500$51,000,000$23,700,000$19,200,000$7,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian ZetterlundDrake Batherson40122
2Patrik LaineRyan StromeKasperi Kapanen30122
3Matej BlumelRobby FabbriFilip Zadina20122
4Drake BathersonNicklas Backstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson40122
2Kevin BahlBowen Byram30122
3Anthony DeangeloFilip Hronek20122
4Adam LarssonKevin Bahl10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian ZetterlundDrake Batherson60122
2Patrik LaineRyan StromeKasperi Kapanen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson60122
2Kevin BahlBowen Byram40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Drake Batherson60122
2Fabian ZetterlundRyan Strome40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson60122
2Kevin BahlBowen Byram40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Drake Batherson60122Filip HronekAdam Larsson60122
240122Kevin BahlBowen Byram40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Drake Batherson60122
2Fabian ZetterlundRyan Strome40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip HronekAdam Larsson60122
2Kevin BahlBowen Byram40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Fabian ZetterlundDrake BathersonFilip HronekAdam Larsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Fabian ZetterlundDrake BathersonFilip HronekAdam Larsson
Extra Forwards
Normal PowerPlayPenalty Kill
Kevin Stenlund, Jesperi Kotkaniemi, Brett HowdenKevin Stenlund, Jesperi KotkaniemiBrett Howden
Extra Defensemen
Normal PowerPlayPenalty Kill
Anthony Deangelo, Bowen Byram, Filip HronekAnthony DeangeloBowen Byram, Filip Hronek
Penalty Shots
Drake Batherson, , Fabian Zetterlund, Ryan Strome, Robby Fabbri
Goalie
#1 : Joonas Korpisalo, #2 : Vitek Vanecek


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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
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
1Devils1010000004-4000000000001010000004-400.00000000000035184130273611700.00%3166.67%013725653.52%11522451.34%7111760.68%2517227126
2Ducks1000010034-11000010034-10000000000010.50035800201034168822444144125.00%10100.00%013725653.52%11522451.34%7111760.68%2720196137
3Flyers1010000015-4000000000001010000015-400.0001230010002297604291021400.00%5260.00%013725653.52%11522451.34%7111760.68%2114267125
4Islanders1010000045-1000000000001010000045-100.0004610000310276813024106194250.00%3166.67%013725653.52%11522451.34%7111760.68%2214248136
5Kings10001000431000000000001000100043121.000471100201130134121233916600.00%20100.00%013725653.52%11522451.34%7111760.68%2719207137
6Rangers11000000541000000000001100000054121.0005101500131040141313034102157342.86%10100.00%013725653.52%11522451.34%7111760.68%2316247126
7Sabres1010000014-31010000014-30000000000000.0001120001002797110405823800.00%4175.00%013725653.52%11522451.34%7111760.68%2214238147
Total714011001829-112010010048-4513010001421-750.3571831490067412158551763214444511940615.00%19573.68%013725653.52%11522451.34%7111760.68%170118161539046
_Since Last GM Reset714011001829-112010010048-4513010001421-750.3571831490067412158551763214444511940615.00%19573.68%013725653.52%11522451.34%7111760.68%170118161539046
_Vs Conference200011007701000010034-11000100043130.75071219004021642912203477133010110.00%30100.00%013725653.52%11522451.34%7111760.68%553940142714
_Vs Division200011007701000010034-11000100043130.75071219004021642912203477133010110.00%30100.00%013725653.52%11522451.34%7111760.68%553940142714

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
75L2183149215214444511900
All Games
GPWLOTWOTL SOWSOLGFGA
71411001829
Home Games
GPWLOTWOTL SOWSOLGFGA
201010048
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51310001421
Last 10 Games
WLOTWOTL SOWSOL
141100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
40615.00%19573.68%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
85517636741
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13725653.52%11522451.34%7111760.68%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
170118161539046


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
17110Islanders-Sharks-
20127Sharks-Predators-
23144Sharks-Hurricanes-
25159Sharks-Ducks-
27176Rangers-Sharks-
29188BlueJacket-Sharks-
31203Flyers-Sharks-
34220Wild-Sharks-
36229Sharks-Stars-
37238Sharks-Blues-
39256Flames-Sharks-
41272Predators-Sharks-
43285MapleLeafs-Sharks-
45301Blues-Sharks-
48317Oilers-Sharks-
50342Canucks-Sharks-
51357Sharks-GoldenKnights-
54367Sharks-Sabres-
55381Sharks-MapleLeafs-
58404Sharks-Senators-
59410Sharks-Canadiens-
62427Hurricanes-Sharks-
64441Sharks-Stars-
65444Sharks-Coyotes-
67463Devils-Sharks-
70484Stars-Sharks-
73507Sharks-Blackhawks-
75523Sharks-Wild-
77538Jets-Sharks-
79555Kings-Sharks-
80564Coyotes-Sharks-
81574Ducks-Sharks-
83588Sharks-Oilers-
85603Sharks-Flames-
87616Sharks-Avalanche-
90642Lightning-Sharks-
92655Kings-Sharks-
93662Oilers-Sharks-
95682Sharks-GoldenKnights-
97696Senators-Sharks-
100719Penguins-Sharks-
101721Sharks-Coyotes-
104749Sharks-Lightning-
106757Sharks-Panthers-
107764Sharks-Capitals-
114799Coyotes-Sharks-
117819Sharks-Jets-
119825Sharks-Flames-
121841Sharks-Oilers-
123861Sharks-Canucks-
126884Capitals-Sharks-
128900Canucks-Sharks-
130915Bruins-Sharks-
133936Sharks-Penguins-
135946Sharks-BlueJacket-
136958Sharks-RedWings-
138969Sharks-Bruins-
141997Avalanche-Sharks-
1431015Blackhawks-Sharks-
1471042Canadiens-Sharks-
1491057Blues-Sharks-
1511068Sharks-Wild-
1521079Sharks-Jets-
1541091Panthers-Sharks-
1561108Predators-Sharks-
1581120GoldenKnights-Sharks-
1611142Sharks-Kings-
1621148Sharks-Ducks-
1651173RedWings-Sharks-
1681194Blackhawks-Sharks-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701211GoldenKnights-Sharks-
1711220Flames-Sharks-
1731238Sharks-Canucks-
1751245Sharks-Oilers-
1771269Avalanche-Sharks-


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
Ryan Strome
Ryan Strome
AGE:31
SK:83
EN:81
DU:97
PH:66
PA:71
SC:61
DF:61
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
Kevin Stenlund
Kevin Stenlund
AGE:28
SK:75
EN:76
DU:98
PH:53
PA:44
SC:61
DF:78
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
Drake Batherson
Drake Batherson
AGE:26
SK:87
EN:85
DU:99
PH:78
PA:78
SC:78
DF:68
Kasperi Kapanen
Kasperi Kapanen
AGE:28
SK:79
EN:79
DU:93
PH:57
PA:58
SC:57
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
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
Ryan Johnson (R)
Ryan Johnson
AGE:23
SK:76
EN:73
DU:71
PH:52
PA:54
SC:50
DF:71
Dysin Mayo
Dysin Mayo
AGE:28
SK:75
EN:71
DU:66
PH:42
PA:44
SC:39
DF:59
Cameron Crotty
Cameron Crotty
AGE:25
SK:75
EN:59
DU:54
PH:36
PA:35
SC:37
DF:66
Leon Gawanke
Leon Gawanke
AGE:25
SK:79
EN:55
DU:50
PH:58
PA:61
SC:56
DF:53
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
Riley Stillman
Riley Stillman
AGE:26
SK:75
EN:55
DU:50
PH:31
PA:27
SC:35
DF:56
Axel Andersson
Axel Andersson
AGE:24
SK:75
EN:55
DU:50
PH:32
PA:30
SC:34
DF:61
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
Dustin Tokarski
Dustin Tokarski
AGE:35
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jaxson Stauber (R)
Jaxson Stauber
AGE:25
SK:75
AG:54
RB:52
SC:51
HS:50
RT:55
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
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
4Braydon Coburn116199324423-11817302238112513417.38%15892406420.7362861486582101217830.00%00.3501
5Ryan Strome563150252402-771723991320138610.82%1111022518.1641741152921453620651.03%50.79624

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 Vanecek2209996160.8903.531235818772765850250.72755
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
2038714011001829-112010010048-4513010001421-751831490067412158551763214444511940615.00%19573.68%013725653.52%11522451.34%7111760.68%170118161539046
Total Regular Season156551778804847848145535474-92178126838002329443723262683-35778424940802518404422272791-56413124553785612409284011614781528130547505862153951584914948513891551520817352397084131818.61%7698159979.23%81264385237850.48%266585519748.30%123792491449.69%356052330437766125822170210654
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