Sharks

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Jonathan Lecompte | Morale : 50 | Team Overall : 70
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Robert Thomas (R)X100.005453948675807980618574765971740537402211,208,333$
2Oskar LindblomX100.007962978479833780517486836870730467202500$
3Josh LeivoX100.006957978779814378697977716770700527202800$
4Brendan Lemieux (R)X100.009473618590786971507270765369710527102500$
5Nicolas Aube-Kubel (R)X100.009259898983774175507377775868690537102500$
6Samuel Blais (R)X100.009762898289784772507074725670720426902500$
7Dmytro Timashov (R)X100.009166928084744968506769725567660616802500$
8Mason Appleton (R)X100.006956908779775368506571755368680276702500$
9Travis Dermott (R)X100.008467868584836969506868765171700647202400$
10Haydn Fleury (R)X100.007966968884795372507369715270720637002500$
11Victor Mete (R)X100.006853918875826269506868705171730606902300$
12Maxime Lajoie (R)X100.00656190917973356150606067506871047640231833,333$
Scratches
TEAM AVERAGE100.0078618986827953725371727456697105270
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 SP
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Guy Boucher74647983776799CAN502750,000$


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
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


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 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
Brendan LemieuxSharks (LUM)LW251996-03-15 12:33:40Yes213 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Dmytro TimashovSharks (LUM)LW251996-10-01 04:24:26Yes192 Lbs5 ft10NoNoNo0Pro & Farm0$0$No
Haydn FleurySharks (LUM)D251996-07-08 17:13:38Yes208 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLink
Josh LeivoSharks (LUM)LW281993-05-26 04:40:40No192 Lbs6 ft2NoNoNo0Pro & Farm0$0$No
Mason AppletonSharks (LUM)C251996-01-15 04:45:48Yes193 Lbs6 ft2NoNoNo0Pro & Farm0$0$No
Maxime LajoieSharks (LUM)D231997-11-05 15:40:29Yes196 Lbs6 ft1NoNoNo1Pro & Farm833,333$833,333$0$0$No
Nicolas Aube-KubelSharks (LUM)RW251996-05-10 04:53:06Yes187 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Oskar LindblomSharks (LUM)LW251996-08-15 10:27:49No191 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Robert ThomasSharks (LUM)C221999-07-02 16:05:10Yes188 Lbs6 ft0NoNoNo1Pro & Farm1,208,333$1,208,333$0$0$No
Samuel BlaisSharks (LUM)LW251996-06-17 04:59:22Yes205 Lbs6 ft2NoNoNo0Pro & Farm0$0$No
Travis DermottSharks (LUM)D241996-12-22 17:34:13Yes204 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLink
Victor MeteSharks (LUM)D231998-06-07 17:40:19Yes183 Lbs5 ft9NoNoNo0Pro & Farm0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1224.58196 Lbs6 ft10.17170,139$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh LeivoMason AppletonNicolas Aube-Kubel40122
2Oskar LindblomSamuel BlaisDmytro Timashov30122
3Brendan Lemieux20122
4Samuel BlaisJosh LeivoOskar Lindblom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis DermottHaydn Fleury40122
2Victor MeteMaxime Lajoie30122
320122
4Travis DermottHaydn Fleury10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh LeivoMason AppletonNicolas Aube-Kubel60122
2Oskar LindblomSamuel BlaisDmytro Timashov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis DermottHaydn Fleury60122
2Victor MeteMaxime Lajoie40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh LeivoOskar Lindblom60122
2Nicolas Aube-KubelBrendan Lemieux40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis DermottHaydn Fleury60122
2Victor MeteMaxime Lajoie40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Leivo60122Travis DermottHaydn Fleury60122
2Oskar Lindblom40122Victor MeteMaxime Lajoie40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh LeivoOskar Lindblom60122
2Nicolas Aube-KubelBrendan Lemieux40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis DermottHaydn Fleury60122
2Victor MeteMaxime Lajoie40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Josh LeivoMason AppletonNicolas Aube-KubelTravis DermottHaydn Fleury
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Josh LeivoMason AppletonNicolas Aube-KubelTravis DermottHaydn Fleury
Extra Forwards
Normal PowerPlayPenalty Kill
Dmytro Timashov, Mason Appleton, Brendan LemieuxDmytro Timashov, Mason AppletonBrendan Lemieux
Extra Defensemen
Normal PowerPlayPenalty Kill
Victor Mete, Maxime Lajoie, Travis DermottVictor MeteMaxime Lajoie, Travis Dermott
Penalty Shots
Josh Leivo, Oskar Lindblom, Nicolas Aube-Kubel, Brendan Lemieux, Samuel Blais
Goalie
#1 : , #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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 204,166$ 204,166$ 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$




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
20198255190440056238617641271002200278199794128902200284187971105629611523021122272194334311011128110862416777501149030018461.33%2229358.11%14710149947.36%593123048.21%954188250.69%1969122016146601341713
201982374003110438454-1641191902010211218-741182101100227236-9744387741212119316517642715823907979122809929651117126013351.15%27414347.81%10710132453.63%690134551.30%920184050.00%1756104618226961350686
202082344102320519552-3341201901010277268941142201310242284-427951989514140011120320153360110811571085142877902636128127615255.07%26815542.16%14762147651.63%567119747.37%980196549.87%1936122916846371315695
Total Regular Season246126100098301519139212712366480522076668581123605204610753707462631519263041491331659559613941830323192317232810226081788394283646956.10%76439148.82%382182429950.76%1850377249.05%2854568750.18%566134965122199440072095
Playoff
2020404000001328-1520200000813-520200000515-100132437005350183786045014546287413323.08%14750.00%04610145.54%266540.00%268132.10%996677316331
Total Playoff404000001328-1520200000813-520200000515-100132437005350183786045014546287413323.08%14750.00%04610145.54%266540.00%268132.10%996677316331