Login

Sharks
GP: 4 | W: 0 | L: 4
GF: 4 | GA: 18 | PP%: 5.88% | PK%: 73.91%
GM : Dave Mirandette | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Sharks
0-4-0, 0pts
1
FINAL
5 Admirals
7-4-0, 14pts
Team Stats
L4StreakL2
0-2-0Home Record3-3-0
0-2-0Away Record4-1-0
0-4-0Last 10 Games6-4-0
1.00Goals Per Game2.91
4.50Goals Against Per Game1.64
5.88%Power Play Percentage20.34%
73.91%Penalty Kill Percentage94.12%
Sharks
0-4-0, 0pts
0
FINAL
2 Admirals
7-4-0, 14pts
Team Stats
L4StreakL2
0-2-0Home Record3-3-0
0-2-0Away Record4-1-0
0-4-0Last 10 Games6-4-0
1.00Goals Per Game2.91
4.50Goals Against Per Game1.64
5.88%Power Play Percentage20.34%
73.91%Penalty Kill Percentage94.12%
Team Leaders
Goals
Danny O'Regan
1
Assists
Danny O'Regan
1
Points
Danny O'Regan
2
Plus/Minus
Ross Colton
0
Wins
Max Lagace
0
Save Percentage
Max Lagace
0.826

Team Stats
Goals For
4
1.00 GFG
Shots For
59
14.75 Avg
Power Play Percentage
5.9%
1 GF
Offensive Zone Start
35.1%
Goals Against
18
4.50 GAA
Shots Against
106
26.50 Avg
Penalty Kill Percentage
73.9%
6 GA
Defensive Zone Start
42.7%
Team Info

General ManagerDave Mirandette
CoachDoug Weight
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team29
Farm Team21
Contract Limit50 / 60
Prospects16


Team History

This Season0-4
History45-31-6 (0.549%)
Playoff Appearances0
Playoff Record (W-L)0-4
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
1Alan Quine0X100.00787389757360526475675569425556665000282735,000$
2Shane Pinto (R)0X100.007343777872635064738058792545456248002031,325,000$
3Brett Connolly0XX100.007544928174657469356369582573756550002913,500,000$
4Danny O'Regan0XX100.00746692686576756579636264644444675000271874,125$
5Danton Heinen0XX100.00674297806968827033666970256567655000251995,833$
6Nicolas Deslauriers0XX100.009199647181578359286061702568686650003011,000,000$
7Otto Koivula0XX100.00796586668454595564545169454545615000222925,000$
8Ross Colton0XX100.00755978657067726276626959254646625000243700,005$
9Sam Steel0XX100.00694292816769817087666363255959665000231863,333$
10Troy Terry0XX100.005740927765688375407064556359596450002311,491,666$
11Jordy Bellerive0X100.00696967666969655974526260614444625000221733,333$
12Travis Boyd0XXX100.00664298636758616558686462255758615000272800,000$
13Shane Bowers0X100.007670896670626357725160635844446350002121,075,000$
14Ian Mitchell (R)0X100.006541887663666759254949682547475650002211,775,000$
15Connor Clifton0X100.009246827864706657254548734556586050002641,000,000$
16Mark Pysyk0X100.007344867074597359354755722568696150002922,733,333$
17Nick Holden0X100.008451947780726260255049742570726350003412,200,000$
18Rasmus Sandin0X100.00774394806665546925654861254747585000212894,167$
19Trevor van Riemsdyk0X100.00664295807068596125504875256668605000293800,050$
Scratches
1Brayden Burke0XX100.00686182626068646250655660434444595000242925,000$
2Brett Seney0XX100.00625675775675715974545958534949625000251757,500$
3Rourke Chartier (R)0X100.00776995646947475063504662444444585000251950,000$
4Brett Leason0X100.00817791647766665650545466594444635000222925,000$
5Noah Juulsen0X100.007771925375454148254039623746465350002411,063,333$
6Max Gildon (R)0X100.00747376647358605425534162394444565000221925,000$
7Jared McIsaac (R)0X100.00787293617246474725393962374444545000211896,667$
8Nikita Okhotyuk (R)0X100.00697165637157604725374157394444535000201910,833$
TEAM AVERAGE100.0074588671706364604856556538525361500
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
1Aaron Dell100.00575864755557596161583057575850003211,900,000$
2Max Lagace100.0061597475616362676464304444595000283875,000$
Scratches
TEAM AVERAGE100.005959697558606164636130515159500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug Weight75717977747077USA5221,250,000$


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
1Danny O'ReganSharks (SJS)C/LW4112-1000754220.00%1317.810000000000000.00%000001.2800000000
2Connor CliftonSharks (SJS)D4011-160201000.00%14110.360000000000000.00%000000.4800000000
3Nicolas DeslauriersSharks (SJS)LW/RW4101-3207363316.67%15213.05101312000000025.00%400000.3800000000
4Mark PysykSharks (SJS)D4011-100130010.00%04110.340000000000000.00%000000.4800000000
5Troy TerrySharks (SJS)C/RW4011-3000133230.00%05513.79011012000020026.32%5700000.3600000000
6Travis BoydSharks (SJS)C/LW/RW4011-300021010.00%05213.05011112000000080.00%500000.3800000000
7Rasmus SandinSharks (SJS)D4000-640912010.00%15213.080000000002000.00%000000.0000000000
8Ross ColtonSharks (SJS)C/LW40000401155230.00%24010.2000000000000050.00%200000.0000000000
9Sam SteelSharks (SJS)C/LW4000-4806872100.00%06817.18000413000010054.24%5900000.0000000000
10Trevor van RiemsdykSharks (SJS)D4000-640652000.00%25213.110000000002000.00%000000.0000000000
Team Total or Average40257-2828042473213246.25%848712.201238510000100041.73%12700000.2900000000
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
1Max LagaceSharks (SJS)40400.8264.711910015860000.000040000
Team Total or Average40400.8264.711910015860000.000040000


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 Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary 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 10Link
Aaron DellSharks (SJS)G321989-05-04No209 Lbs6 ft0NoNoNo1Pro & Farm1,900,000$1,900,000$0$0$NoLink
Alan QuineSharks (SJS)C281993-02-24No203 Lbs6 ft0NoNoNo2Pro & Farm735,000$735,000$0$0$No735,000$Link
Brayden BurkeSharks (SJS)LW/RW241997-01-01No165 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Brett ConnollySharks (SJS)LW/RW291992-05-01No198 Lbs6 ft3NoNoNo1Pro & Farm3,500,000$3,500,000$0$0$NoLink
Brett LeasonSharks (SJS)RW221999-04-30No201 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Brett SeneySharks (SJS)C/LW251996-02-27No156 Lbs5 ft9NoNoNo1Pro & Farm757,500$757,500$0$0$NoLink
Connor CliftonSharks (SJS)D261995-04-28No175 Lbs5 ft11NoNoNo4Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$Link
Danny O'ReganSharks (SJS)C/LW271994-01-30No180 Lbs5 ft10NoNoNo1Pro & Farm874,125$450,000$0$0$NoLink
Danton HeinenSharks (SJS)LW/RW251995-07-05No188 Lbs6 ft1NoNoNo1Pro & Farm995,833$995,833$0$0$NoLink
Ian MitchellSharks (SJS)D221999-01-18Yes173 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$450,000$0$0$No
Jared McIsaacSharks (SJS)D212000-03-26Yes196 Lbs6 ft1NoNoNo1Pro & Farm896,667$896,667$0$0$No
Jordy BelleriveSharks (SJS)C221999-05-02No195 Lbs5 ft10NoNoNo1Pro & Farm733,333$733,333$0$0$NoLink
Mark PysykSharks (SJS)D291992-01-11No200 Lbs6 ft1NoNoNo2Pro & Farm2,733,333$2,733,333$0$0$No2,733,333$Link
Max GildonSharks (SJS)D221999-05-17Yes192 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$No
Max LagaceSharks (SJS)G281993-01-11No190 Lbs6 ft2NoNoNo3Pro & Farm875,000$700,000$0$0$No700,000$700,000$Link
Nick HoldenSharks (SJS)D341987-05-14No214 Lbs6 ft4NoNoNo1Pro & Farm2,200,000$2,200,000$0$0$NoLink
Nicolas DeslauriersSharks (SJS)LW/RW301991-02-22No215 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLink
Nikita OkhotyukSharks (SJS)D202000-12-04Yes194 Lbs6 ft1NoNoNo1Pro & Farm910,833$910,833$0$0$No
Noah JuulsenSharks (SJS)D241997-04-02No201 Lbs6 ft2NoNoNo1Pro & Farm1,063,333$1,063,333$0$0$NoLink
Otto KoivulaSharks (SJS)C/LW221998-09-01No223 Lbs6 ft5NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Rasmus SandinSharks (SJS)D212000-03-07No183 Lbs5 ft11NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Link
Ross ColtonSharks (SJS)C/LW241996-09-11No191 Lbs6 ft0NoNoNo3Pro & Farm700,005$700,000$0$0$No700,000$700,000$Link
Rourke ChartierSharks (SJS)C251996-04-03Yes190 Lbs5 ft11NoNoNo1Pro & Farm950,000$450,000$0$0$NoLink
Sam SteelSharks (SJS)C/LW231998-02-03No189 Lbs5 ft11NoNoNo1Pro & Farm863,333$450,000$0$0$NoLink
Shane BowersSharks (SJS)C211999-07-30No186 Lbs6 ft2NoNoNo2Pro & Farm1,075,000$1,075,000$0$0$No1,075,000$Link
Shane PintoSharks (SJS)C202000-11-12Yes192 Lbs6 ft2NoNoNo3Pro & Farm1,325,000$925,000$0$0$No1,325,000$1,325,000$
Travis BoydSharks (SJS)C/LW/RW271993-09-14No185 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link
Trevor van RiemsdykSharks (SJS)D291991-07-24No188 Lbs6 ft2NoNoNo3Pro & Farm800,050$800,000$0$0$No800,000$800,000$Link
Troy TerrySharks (SJS)C/RW231997-09-10No174 Lbs6 ft1NoNoNo1Pro & Farm1,491,666$1,491,666$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.00191 Lbs6 ft11.661,191,351$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam Steel35122
2Nicolas DeslauriersTroy TerryTravis Boyd30122
3Ross Colton25122
4Danny O'Regan10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
2Rasmus SandinTrevor van Riemsdyk30122
3Mark PysykConnor Clifton25122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam Steel60122
2Nicolas DeslauriersTroy TerryTravis Boyd40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Rasmus SandinTrevor van Riemsdyk40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Sam SteelTroy Terry40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Rasmus SandinTrevor van Riemsdyk40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Rasmus SandinTrevor van Riemsdyk40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Sam SteelTroy Terry40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Rasmus SandinTrevor van Riemsdyk40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sam Steel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sam Steel
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
Mark Pysyk, Connor Clifton, Mark PysykConnor Clifton,
Penalty Shots
, , Sam Steel, Troy Terry, Nicolas Deslauriers
Goalie
#1 : Max Lagace, #2 :


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
1Admirals40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
Total40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
_Since Last GM Reset40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
_Vs Conference40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
_Vs Division40400000418-1420200000311-82020000017-600.00048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
40L448125910620485800
All Games
GPWLOTWOTL SOWSOLGFGA
4040000418
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000311
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000017
Last 10 Games
WLOTWOTL SOWSOL
040000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1715.88%23673.91%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
19261400220
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
318735.63%3810635.85%245543.64%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
8662107284520


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
1 - 2022-03-168Admirals6Sharks2BLBoxScore
2 - 2022-03-1716Admirals5Sharks1BLBoxScore
3 - 2022-03-1824Sharks1Admirals5ALBoxScore
4 - 2022-03-1932Sharks0Admirals2ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-2 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,454,916$ 3,131,165$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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
1Sam Steel74293362-74210221320314.29%17142719.291119305300014560.64%00.8716
2Nick Holden71114354-11132160881238.94%68148720.9681927940001110.00%00.7300
3Troy Terry82223153-1121616416413.41%7143217.47514194210157340.33%00.7456
4Travis Boyd82142943-1010146611911.76%3128215.65511163600002141.67%00.6700
5Ross Colton74241438210011310115815.19%892012.44000000004166.67%00.8300

Sharks Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Max Lagace74412560.8832.6341772618315640120.61331
2David Rittich59242870.8742.4734254514111200310.66724
3Aaron Dell90100.8872.9624300121060000.0000

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
202182353104462223225-24124110114012594314111200332298131-339622338460727747069211735560552603521870489102814054487316.29%4126284.95%21038227745.59%1047237344.12%584118949.12%201414281987591979488
Total Regular Season82353104462223225-24124110114012594314111200332298131-339622338460727747069211735560552603521870489102814054487316.29%4126284.95%21038227745.59%1047237344.12%584118949.12%201414281987591979488
202140400000418-1420200000311-82020000017-6048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520
Total Playoff40400000418-1420200000311-82020000017-6048120002205919261401062048581715.88%23673.91%0318735.63%3810635.85%245543.64%8662107284520

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
1Danny O'Regan4112-1007520.00%1317.8100000000000.00%01.2800
2Troy Terry4011-3001330.00%05513.79011000000026.32%00.3600
3Nicolas Deslauriers4101-3273616.67%15213.05101300000025.00%00.3800
4Connor Clifton4011-162010.00%14110.3600000000000.00%00.4800
5Travis Boyd4011-300210.00%05213.05011100000080.00%00.3800

Sharks Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Max Lagace40400.8264.711910015860000.0000