Login

SHARKS
GP: 21 | W: 10 | L: 10 | OTL: 1 | P: 21
GF: 56 | GA: 61 | PP%: 14.62% | PK%: 83.20%
GM : Chris Cook | Morale : 61 | Team Overall : 80
Next Games #267 vs GOLDEN KNIGHTS
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
SHARKS
10-10-1, 21pts
4
FINAL
2 CANUCKS
9-12-4, 22pts
Team Stats
W2StreakL3
5-5-1Home Record4-7-3
5-5-0Away Record5-5-1
6-4-0Last 10 Games6-3-1
2.67Goals Per Game2.52
2.90Goals Against Per Game3.12
14.62%Power Play Percentage10.74%
83.20%Penalty Kill Percentage85.64%
CANUCKS
9-12-4, 22pts
2
FINAL
3 SHARKS
10-10-1, 21pts
Team Stats
L3StreakW2
4-7-3Home Record5-5-1
5-5-1Away Record5-5-0
6-3-1Last 10 Games6-4-0
2.52Goals Per Game2.67
3.12Goals Against Per Game2.90
10.74%Power Play Percentage14.62%
85.64%Penalty Kill Percentage83.20%
GOLDEN KNIGHTS
11-10-4, 26pts
Day 57
SHARKS
10-10-1, 21pts
Team Stats
L1StreakW2
5-3-4Home Record5-5-1
6-7-0Away Record5-5-0
3-5-2Last 10 Games6-4-0
2.72Goals Per Game2.67
3.04Goals Against Per Game2.67
13.04%Power Play Percentage14.62%
83.08%Penalty Kill Percentage83.20%
SHARKS
10-10-1, 21pts
Day 58
GOLDEN KNIGHTS
11-10-4, 26pts
Team Stats
W2StreakL1
5-5-1Home Record5-3-4
5-5-0Away Record6-7-0
6-4-0Last 10 Games3-5-2
2.67Goals Per Game2.72
2.90Goals Against Per Game2.72
14.62%Power Play Percentage13.04%
83.20%Penalty Kill Percentage83.08%
FLAMES
13-7-3, 29pts
Day 61
SHARKS
10-10-1, 21pts
Team Stats
W2StreakW2
7-4-1Home Record5-5-1
6-3-2Away Record5-5-0
6-2-2Last 10 Games6-4-0
2.83Goals Per Game2.67
2.43Goals Against Per Game2.67
15.44%Power Play Percentage14.62%
89.26%Penalty Kill Percentage83.20%
Team Leaders
Matt DucheneGoals
Matt Duchene
11
Andrew LaddAssists
Andrew Ladd
12
Matt DuchenePoints
Matt Duchene
22
Cody FransonPlus/Minus
Cody Franson
5
Matt MurrayWins
Matt Murray
8
Matt MurraySave Percentage
Matt Murray
0.908

Team Stats
Goals For
56
2.67 GFG
Shots For
638
30.38 Avg
Power Play Percentage
14.6%
19 GF
Offensive Zone Start
40.9%
Goals Against
61
2.90 GAA
Shots Against
653
31.10 Avg
Penalty Kill Percentage
83.2%%
21 GA
Defensive Zone Start
39.2%
Team Info

General ManagerChris Cook
CoachMike Sullivan
DivisionPacific Division
ConferenceWESTERN CONFERENCE
CaptainDavid Backes
Assistant #1
Assistant #2


Arena Info

NameThe Cow Palace
Capacity12,953
Attendance12,953
Season Tickets5,181


Roster Info

Pro Team23
Farm Team27
Contract Limit50 / 55
Prospects5


Salary Cap

Estimated Season Salary Cap82,498,400$
Available Salary Cap501,600$
Special Salary Cap Value0$
Players In Salary Cap23


Finance

Year to Date Revenue27,884,351$
Year To Date Expenses24,743,836$
Estimated Season Revenue73,513,289$
Estimated Season Expenses56,707,060$
Current Bank Account500,467,110$
Projected Bank Account533,532,587$


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
1Matt Duchene0XX99.0070168899929699997499998393717582728902418,725,000$
2David Backes (C)0XX100.0099466598967583977298977569787755678603246,080,000$
3Andrew Ladd0X99.0062279599978299986699995771878661698603018,164,000$
4Mikkel Boedker0XX100.0079389199859686916894947471667065698402645,360,000$
5Nathan MacKinnon0XX100.0058227599998796897588897599485386688202044,505,000$
6Antoine Vermette0XXX100.0058219996947780898092916267928850668203318,193,000$
7Ryan Callahan0X100.0044178799868897906786915168717357688003014,900,000$
8Teuvo Teravainen0XXX100.004612859573819396708576727436417669770211650,000$
9Kyle Palmieri0XX100.004967698768499837074856981455058647602413,225,000$
10Leon Draisaitl (R)0X100.004112778177727889788689749429348556750203750,000$
11Scott Laughton (R)0X100.007213739071759673798366796526327153740212650,000$
12Oliver Ekman-Larsson0X100.0081246999978998943694719961596273678802445,256,000$
13Mattias Ekholm0X100.0084317196998389883581659153515660668402523,328,000$
14Cody Franson0X100.0099217091878281853586658943586240698302834,271,000$
15John Klingberg0X100.0061158696847899843595649154404662658002443,168,000$
16Justin Schultz0X100.0057278799868399823682628555475343677902522,263,000$
17Rasmus Ristolainen0X100.008747718091778674337865904537428066790211650,000$
18Ron Hainsey0X100.0082408371926778713670559358838137577903421,271,000$
Scratches
1Gustav Nyquist0XXX100.0042108499758899767668766775444755477302612,210,000$
2Riley Nash0XX100.0050198798798199708062657067434840397002611,581,000$
3Brady Skjei (R)0X100.006825739180727972357535894525316949740212650,000$
TEAM AVERAGE99.90662381948682918559857678675457626380
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
1Brian Elliott0100.009267918495999999998190605966738603021,357,000$
2Matt Murray0100.008995788285859898988297404072708202143,445,000$
Scratches
TEAM AVERAGE100.0091818583909299999982945050697284
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Sullivan78868987737374USA484750,000$


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
1Matt DucheneSHARKSC/RW21111122-2120375277194114.29%1245521.69459201100002552148.94%5211410000.9713000312
2Andrew LaddSHARKSLW2181220-42046398824579.09%443120.533811301080001290143.33%30156000.9301000222
3Teuvo TeravainenSHARKSC/LW/RW21681414029535593110.91%742220.1223514900221890046.10%141137010.6612000110
4Mikkel BoedkerSHARKSLW/RW213912-10032275412275.56%835717.042571195000071052.00%25175000.6701000001
5Kyle PalmieriSHARKSLW/RW216612-160111338111515.79%72079.87325434000002040.00%4554001.1611000012
6Nathan MacKinnonSHARKSC/RW215510-5260373741132212.20%744721.29415121080004851149.06%53106000.4513000010
7Antoine VermetteSHARKSC/LW/RW213710-70022204114357.32%933415.9415616108000000055.32%4776000.6002000011
8David BackesSHARKSC/RW21437-232055545420327.41%1543720.85011111002024830147.57%206119000.3202000010
9Ryan CallahanSHARKSRW21347-2208155013266.00%724911.8900003000001025.00%8143000.5600000010
10Cody FransonSHARKSD2114553204245107710.00%2938518.3400001300001000150.00%2417000.2600000001
11Leon DraisaitlSHARKSC21235-2401643247188.33%728413.57011359000040049.78%23117000.3500000000
12Oliver Ekman-LarssonSHARKSD2113403404938311383.23%3048623.14112121100003100000%0619000.1600000000
13John KlingbergSHARKSD21044-710028402112170%2545621.7601179500006000%079000.1800000000
14Justin SchultzSHARKSD21123-2100143172414.29%1128013.3400001000037000%036000.2100000000
15Gustav NyquistSHARKSC/LW/RW8022-220249590%2769.6200001000030025.00%411000.5200000000
16Mattias EkholmSHARKSD2102203804944238110%3343420.7100007000184000%0511000.0900000000
17Scott LaughtonSHARKSC10022-2808954100%3939.33000000000300049.35%7702000.4300000000
18Rasmus RistolainenSHARKSD21000-1300222413440%1930714.6600002000071000%001100000000000
19Brady SkjeiSHARKSD10000000000000%020.220000000000000%00000000000000
20Ron HainseySHARKSD14000000000000%000.010000000000000%00000000000000
Team Total or Average3785487141-3425205075886411973748.42%235615116.272033531401053224167897548.27%1390133139010.46415000699
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
1Matt MurraySHARKS2081010.9082.8311020052563255110.8899201201
2Brian ElliottSHARKS62000.9102.811710088931201.0006120000
Team Total or Average26101010.9082.831273006065228631152121201


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Andrew LaddSHARKSLW301985-01-01No192 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro Only8,164,000$8,164,000$5,687,281$No---------------------------NHL Link
Antoine VermetteSHARKSC/LW/RW331982-01-01No197 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro Only8,193,000$8,193,000$5,707,483$No---------------------------NHL Link
Brady SkjeiSHARKSD211994-01-01Yes210 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro Only650,000$650,000$452,809$No650,000$--------650,000$--------No--------NHL Link
Brian ElliottSHARKSG301985-01-01No209 Lbs6 ft2NoNoN/AYesYes2FalseFalsePro Only1,357,000$1,357,000$945,326$No1,357,000$--------1,357,000$--------No--------NHL Link
Cody FransonSHARKSD281987-01-01No224 Lbs6 ft5NoNoN/AYesYes3FalseFalsePro Only4,271,000$4,271,000$2,975,303$No4,271,000$4,271,000$-------4,271,000$4,271,000$-------NoNo-------NHL Link
David BackesSHARKSC/RW321984-01-01No215 Lbs6 ft3NoNoN/AYesYes42024-04-29FalseFalsePro Only6,080,000$6,080,000$4,235,506$No6,080,000$6,080,000$6,080,000$------6,080,000$6,080,000$6,080,000$------NoNoNo------NHL Link
Gustav NyquistSHARKSC/LW/RW261989-01-01No179 Lbs5 ft11NoNoTrade2024-06-07YesYes1FalseFalsePro Only2,210,000$2,210,000$1,539,551$No---------------------------NHL Link
John KlingbergSHARKSD241992-01-01No190 Lbs6 ft3NoNoN/ANoNo42024-04-29FalseFalsePro Only3,168,000$3,168,000$2,206,921$No3,168,000$3,168,000$3,168,000$------3,168,000$3,168,000$3,168,000$------NoNoNo------NHL Link
Justin SchultzSHARKSD251990-01-01No193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only2,263,000$2,263,000$1,576,472$No2,263,000$--------2,263,000$--------No--------NHL Link
Kyle PalmieriSHARKSLW/RW241991-01-01No198 Lbs5 ft11NoNoTrade2024-06-07NoNo12024-05-24FalseFalsePro Only3,225,000$3,225,000$2,246,629$No---------------------------NHL Link
Leon DraisaitlSHARKSC201995-01-01Yes209 Lbs6 ft2NoNoFree AgentNoNo32024-05-01FalseFalsePro Only750,000$750,000$522,472$No750,000$750,000$-------750,000$750,000$-------NoNo-------NHL Link
Matt DucheneSHARKSC/RW241991-01-01No195 Lbs5 ft11NoNoFree AgentNoNo12024-05-24FalseFalsePro Only8,725,000$8,725,000$6,078,090$No---------------------------NHL Link
Matt MurraySHARKSG211994-01-01No203 Lbs6 ft5NoNoN/ANoNo42024-04-29FalseFalsePro Only3,445,000$3,445,000$2,399,888$No3,445,000$3,445,000$3,445,000$------3,445,000$3,445,000$3,445,000$------NoNoNo------NHL Link
Mattias EkholmSHARKSD251990-01-01No215 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro Only3,328,000$3,328,000$2,318,382$No3,328,000$--------3,328,000$--------No--------NHL Link
Mikkel BoedkerSHARKSLW/RW261989-01-01No207 Lbs5 ft11NoNoN/AYesYes42024-04-29FalseFalsePro Only5,360,000$5,360,000$3,733,933$No5,360,000$5,360,000$5,360,000$------5,360,000$5,360,000$5,360,000$------NoNoNo------NHL Link
Nathan MacKinnonSHARKSC/RW201995-01-01No200 Lbs6 ft0NoNoN/ANoNo42024-04-29FalseFalsePro Only4,505,000$4,505,000$3,138,315$No4,505,000$4,505,000$4,505,000$------4,505,000$4,505,000$4,505,000$------NoNoNo------NHL Link
Oliver Ekman-LarssonSHARKSD241991-01-01No200 Lbs6 ft2NoNoN/ANoNo42024-04-29FalseFalsePro Only5,256,000$5,256,000$3,661,483$No5,256,000$5,256,000$5,256,000$------5,256,000$5,256,000$5,256,000$------NoNoNo------NHL Link
Rasmus RistolainenSHARKSD211994-01-01No220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro Only650,000$650,000$452,809$No---------------------------NHL Link
Riley NashSHARKSC/RW261989-01-01No185 Lbs6 ft2NoNoTrade2024-01-22YesYes1FalseFalsePro & Farm1,581,000$1,581,000$1,101,371$No---------------------------NHL Link
Ron HainseySHARKSD341981-01-01No205 Lbs6 ft3NoNoN/AYesYes2FalseFalsePro Only1,271,000$1,271,000$885,416$No1,271,000$--------1,271,000$--------No--------NHL Link
Ryan CallahanSHARKSRW301985-01-01No187 Lbs5 ft10NoNoFree AgentYesYes12024-05-03FalseFalsePro Only4,900,000$4,900,000$3,413,483$No---------------------------Link / NHL Link
Scott LaughtonSHARKSC211994-01-01Yes191 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro Only650,000$650,000$452,809$No650,000$--------650,000$--------No--------NHL Link
Teuvo TeravainenSHARKSC/LW/RW211994-01-01No192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only650,000$650,000$452,809$No---------------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.48201 Lbs6 ft22.223,506,609$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
80,652,000$42,354,000$32,835,000$27,814,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew LaddMatt DucheneAntoine Vermette27005
2Mikkel BoedkerDavid BackesNathan MacKinnon27014
3Teuvo TeravainenLeon DraisaitlRyan Callahan25032
4Kyle PalmieriMatt DucheneAndrew Ladd21230
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonCody Franson28122
2Mattias EkholmRasmus Ristolainen27122
3John KlingbergJustin Schultz27122
4John KlingbergMattias Ekholm18122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew LaddMatt DucheneAntoine Vermette51122
2Teuvo TeravainenKyle PalmieriMikkel Boedker49122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nathan MacKinnonOliver Ekman-Larsson51122
2David BackesJohn Klingberg49122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Teuvo TeravainenDavid Backes51122
2Matt DucheneNathan MacKinnon49122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonCody Franson51122
2Mattias EkholmRasmus Ristolainen49122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nathan MacKinnon51122Oliver Ekman-LarssonCody Franson51122
2Teuvo Teravainen49122Mattias EkholmRasmus Ristolainen49122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nathan MacKinnonAntoine Vermette51122
2Matt DucheneTeuvo Teravainen49122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-LarssonCody Franson51122
2Mattias EkholmRasmus Ristolainen49122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andrew LaddDavid BackesMatt DucheneOliver Ekman-LarssonCody Franson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Teuvo TeravainenMatt DucheneKyle PalmieriOliver Ekman-LarssonCody Franson
Extra Forwards
Normal PowerPlayPenalty Kill
Teuvo Teravainen, Nathan MacKinnon, Mikkel BoedkerTeuvo Teravainen, Nathan MacKinnonNathan MacKinnon
Extra Defensemen
Normal PowerPlayPenalty Kill
Oliver Ekman-Larsson, Mattias Ekholm, Rasmus RistolainenOliver Ekman-LarssonOliver Ekman-Larsson, Mattias Ekholm
Penalty Shots
Matt Duchene, Teuvo Teravainen, Nathan MacKinnon, David Backes, Antoine Vermette
Goalie
#1 : Matt Murray, #2 : Brian Elliott


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
1BLACKHAWKS1010000012-1000000000001010000012-100.000112001000311768037121017600.00%5180.00%129657451.57%25454946.27%13027946.59%2111219179
2BLUES210001004401000010023-11100000021130.75048120004004819245064192643800.00%13192.31%029657451.57%25454946.27%13027946.59%371743203819
3BRUINS2020000025-31010000012-11010000013-200.00023510011054191916065232858700.00%14192.86%129657451.57%25454946.27%13027946.59%391844203617
4CANUCKS430000101486220000006332100001085381.000142135005531127433945311744468934617.65%220100.00%029657451.57%25454946.27%13027946.59%874684407338
5FLAMES1010000025-3000000000001010000025-300.000224000110186750351318173133.33%9366.67%029657451.57%25454946.27%13027946.59%1662410198
6FLYERS1010000035-21010000035-20000000000000.00035800030037618130351022317228.57%11372.73%029657451.57%25454946.27%13027946.59%2211189189
7GOLDEN KNIGHTS21000010743110000004221000001032141.000711180021325916629145610206816212.50%100100.00%029657451.57%25454946.27%13027946.59%422042213921
8KINGS301010101213-12010001079-21000100054140.6671219310023529829313689735365720210.00%18761.11%029657451.57%25454946.27%13027946.59%643564295528
9PENGUINS11000000514110000005140000000000021.000591400122037616150221082410330.00%40100.00%029657451.57%25454946.27%13027946.59%211018102011
10SABRES1010000003-3000000000001010000003-300.00000000000023910402413426600.00%2150.00%029657451.57%25454946.27%13027946.59%2091992011
11SENATORS1010000023-11010000023-10000000000000.00022400101032146120391914264125.00%7271.43%029657451.57%25454946.27%13027946.59%2214227157
12WHALERS1010000035-21010000035-20000000000000.000347000210341410100321512216116.67%6266.67%029657451.57%25454946.27%13027946.59%20101981910
13WILD1010000013-2000000000001010000013-200.0001230010004017716030128313133.33%40100.00%029657451.57%25454946.27%13027946.59%2213189188
Total21610011305661-5114500110333301025010202328-5210.5005687143101322175638215199214256532352525081301914.62%1252183.20%229657451.57%25454946.27%13027946.59%438227443206393202
_Since Last GM Reset21610011305661-5114500110333301025010202328-5210.5005687143101322175638215199214256532352525081301914.62%1252183.20%229657451.57%25454946.27%13027946.59%438227443206393202
_Vs Conference1454011304139263100110191728230102022220190.679416410500111412542114712014425436145164322901213.33%811285.19%129657451.57%25454946.27%13027946.59%291152300140263134
_Vs Division1042010303530553100010171435110102018162160.80035538800910125302948311525305102120231731115.07%591083.05%029657451.57%25454946.27%13027946.59%21010921610118897

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2121W2568714363865323525250810
All Games
GPWLOTWOTL SOWSOLGFGA
2161011305661
Home Games
GPWLOTWOTL SOWSOLGFGA
114501103333
Visitor Games
GPWLOTWOTL SOWSOLGFGA
102510202328
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1301914.62%1252183.20%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
215199214251322175
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
29657451.57%25454946.27%13027946.59%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
438227443206393202


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
310KINGS5SHARKS6WXXBoxScore
834PENGUINS1SHARKS5WBoxScore
1043CANUCKS1SHARKS3WBoxScore
1356SHARKS2BLUES1WBoxScore
1569SHARKS1WILD3LBoxScore
1774SHARKS1BLACKHAWKS2LBoxScore
2087BLUES3SHARKS2LXBoxScore
2297SENATORS3SHARKS2LBoxScore
24107FLYERS5SHARKS3LBoxScore
27121SHARKS0SABRES3LBoxScore
29134SHARKS1BRUINS3LBoxScore
31142KINGS4SHARKS1LBoxScore
32149SHARKS5KINGS4WXBoxScore
34156SHARKS4CANUCKS3WXXBoxScore
35163SHARKS3GOLDEN KNIGHTS2WXXBoxScore
38177BRUINS2SHARKS1LBoxScore
41191GOLDEN KNIGHTS2SHARKS4WBoxScore
45214SHARKS2FLAMES5LBoxScore
48223WHALERS5SHARKS3LBoxScore
51235SHARKS4CANUCKS2WBoxScore
52244CANUCKS2SHARKS3WBoxScore
57267GOLDEN KNIGHTS-SHARKS-
58278SHARKS-GOLDEN KNIGHTS-
61285FLAMES-SHARKS-
62289FLAMES-SHARKS-
65302MAPLE LEAFS-SHARKS-
66310SHARKS-KINGS-
68317CANADIENS-SHARKS-
70331SHARKS-RED WINGS-
72345SHARKS-WILD-
74352SHARKS-BLACKHAWKS-
78370SENATORS-SHARKS-
81393SHARKS-COYOTES-
83400FLAMES-SHARKS-
86419KINGS-SHARKS-
88428SHARKS-FLAMES-
90437RED WINGS-SHARKS-
91444SHARKS-KINGS-
93452SHARKS-MAPLE LEAFS-
95460SHARKS-CANUCKS-
97470WILD-SHARKS-
99481SCOUTS-SHARKS-
101492LIGHTNING-SHARKS-
104507BLACKHAWKS-SHARKS-
107521KINGS-SHARKS-
109532SHARKS-FLYERS-
110534SHARKS-RANGERS-
112547SHARKS-SENATORS-
114557SABRES-SHARKS-
116568GOLDEN KNIGHTS-SHARKS-
118581SHARKS-GOLDEN KNIGHTS-
120586SHARKS-ISLANDERS-
122598SHARKS-RANGERS-
124605SCOUTS-SHARKS-
126615COYOTES-SHARKS-
128623BRUINS-SHARKS-
130637SHARKS-LIGHTNING-
131642SHARKS-PENGUINS-
134655SHARKS-SABRES-
135661SHARKS-WHALERS-
137673SHARKS-CANADIENS-
139682LIGHTNING-SHARKS-
142696RANGERS-SHARKS-
Trade Deadline --- Trades can’t be done after this day is simulated!
143704SHARKS-GOLDEN KNIGHTS-
145716SHARKS-MAPLE LEAFS-
147723SHARKS-CANUCKS-
150739COYOTES-SHARKS-
152749SHARKS-FLAMES-
153753GOLDEN KNIGHTS-SHARKS-
156764CANUCKS-SHARKS-
159780ISLANDERS-SHARKS-
161790SHARKS-KINGS-
163802SHARKS-PENGUINS-
166814RED WINGS-SHARKS-
169828SHARKS-SCOUTS-
170832SHARKS-BLUES-
172848ISLANDERS-SHARKS-
173857FLAMES-SHARKS-
175867CANUCKS-SHARKS-
177879SHARKS-FLAMES-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity4350315320003000450
Ticket Price1851357540999
Attendance47,85034,68322,00033,0004,950
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
29 12953 - 100.00% 2,534,941$27,884,351$12953147

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
24,743,836$ 80,652,000$ 80,652,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
80,652,000$ 24,516,280$ 0$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
73,513,289$ 124 457,315$ 56,707,060$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
57,993,312$ 500,467,110$ 533,532,587$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
82,498,400$ 501,600$ 83,000,000$ 47,498,400$



Depth Chart

Left WingCenterRight Wing
Andrew LaddAGE:30PO:61OV:86
Mikkel BoedkerAGE:26PO:65OV:84
Antoine VermetteAGE:33PO:50OV:82
Teuvo TeravainenAGE:21PO:76OV:77
Kyle PalmieriAGE:24PO:58OV:76
Gustav NyquistAGE:26PO:55OV:73
Dominic MooreAGE:36PO:41OV:70
Jujhar Khaira (R)AGE:21PO:55OV:69
Travis MoenAGE:33PO:43OV:67
Ryan JonesAGE:30PO:19OV:67
Brandon ReidAGE:34PO:1OV:64
Brandon PrustAGE:32PO:31OV:63
Matt DucheneAGE:24PO:82OV:89
David BackesAGE:32PO:55OV:86
Nathan MacKinnonAGE:20PO:86OV:82
Antoine VermetteAGE:33PO:50OV:82
Teuvo TeravainenAGE:21PO:76OV:77
Leon Draisaitl (R)AGE:20PO:85OV:75
Scott Laughton (R)AGE:21PO:71OV:74
Gustav NyquistAGE:26PO:55OV:73
Sebastian Aho (R)AGE:18PO:89OV:71
Dominic MooreAGE:36PO:41OV:70
Riley NashAGE:26PO:40OV:70
Nick SpalingAGE:28PO:36OV:66
Tyler GraovacAGE:22PO:27OV:66
T.J. TynanAGE:24PO:22OV:65
Brandon ReidAGE:34PO:1OV:64
Seth Griffith (R)AGE:22PO:37OV:63
Brandon PrustAGE:32PO:31OV:63
Jason WilliamsAGE:35PO:7OV:63
Matt DucheneAGE:24PO:82OV:89
David BackesAGE:32PO:55OV:86
Mikkel BoedkerAGE:26PO:65OV:84
Nathan MacKinnonAGE:20PO:86OV:82
Antoine VermetteAGE:33PO:50OV:82
Ryan CallahanAGE:30PO:57OV:80
Teuvo TeravainenAGE:21PO:76OV:77
Kyle PalmieriAGE:24PO:58OV:76
Gustav NyquistAGE:26PO:55OV:73
Jesper FastAGE:24PO:65OV:72
Sebastian Aho (R)AGE:18PO:89OV:71
Riley NashAGE:26PO:40OV:70
Joel Armia (R)AGE:22PO:51OV:69
Conor Garland (R)AGE:20PO:71OV:68
Travis MoenAGE:33PO:43OV:67
Ryan JonesAGE:30PO:19OV:67
Sven Andrighetto (R)AGE:22PO:49OV:65
Brandon ReidAGE:34PO:1OV:64
Brandon PrustAGE:32PO:31OV:63
Jason WilliamsAGE:35PO:7OV:63

Defense #1Defense #2Goalie
Oliver Ekman-LarssonAGE:24PO:73OV:88
Mattias EkholmAGE:25PO:60OV:84
Cody FransonAGE:28PO:40OV:83
John KlingbergAGE:24PO:62OV:80
Rasmus RistolainenAGE:21PO:80OV:79
Justin SchultzAGE:25PO:43OV:79
Ron HainseyAGE:34PO:37OV:79
Brady Skjei (R)AGE:21PO:69OV:74
Justin BraunAGE:28PO:36OV:73
Mark FayneAGE:28PO:30OV:72
Ben LovejoyAGE:32PO:28OV:72
Olli MalmivaaraAGE:33PO:1OV:72
Devon Toews (R)AGE:21PO:54OV:71
Jiri FischerAGE:36PO:1OV:71
Matt CarknerAGE:36PO:1OV:69
Jonas FrogrenAGE:36PO:1OV:69
Brian ElliottAGE:30PO:66OV:86
Matt MurrayAGE:21PO:72OV:82
Dan EllisAGE:35PO:47OV:71
Jason BacashihuaAGE:33PO:19OV:65
Dany SabourinAGE:35PO:22OV:62

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Brett Murray (s27)SHARKS2769
Carter Hart (s27)SHARKS2718
John Marino (s26)SHARKS2652
Mikhail Vorobyev (s26)SHARKS2676
Oskar Lindblom (s25)SHARKS2551

Draft Picks

Year R1R2R3R4R5R6R7
28
29
30
31
32
Conditional Draft Picks



No News Found in News Database. Please create a news.


SHARKS Trade History




[6/24/2024 8:59:25 PM] Seattle KRAKEN lines for next game are empty. Current rosters/lines are not erased.



Jiri Fischer is out for 3 days because of a Right Leg Injury.
Matt Carkner is out for 6 days because of a Right Knee Injury.



SHARKS Players 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

SHARKS Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

SHARKS Players 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

SHARKS Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA