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Rocket
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Simon Deschamps | Morale : 50 | Team Overall : 56
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Team Leaders

Team Stats
Team Info

General ManagerSimon Deschamps
DivisionNord
ConferenceOuest
CaptainChristian Djoos
Assistant #1Taylor Fedun
Assistant #2Alexandre Fortin


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team21
Farm Team20
Contract Limit41 / 50
Prospects5


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 Average
1Danny O'ReganXX100.00726588686570736278596163584444050600272600,000$
2Jimmy HuntingtonX100.00767383667362636176595864554444050590221809,167$
3Viktor LodinXX100.00777093667046426580567066674444050590224830,000$
4Lane PedersonXX100.00844589717057676052575564254848050580241675,000$
5Lean BergmannXX100.00848498747661585154484769434545050570233836,667$
6Nathan ToddX100.00726587636560615873545862554444050560253811,111$
7Martin Pospisil (R)XXX100.00647244637254535974595458514444050550215775,000$
8Samuel AsselinXX100.00686673636662645670575059484444050550233560,000$
9Alexandre Fortin (A)XX100.00746791616751525250475064485757050540243750,000$
10Jonathan Davidsson (R)X100.00797498696733284654394565414444050500241666,666$
11Lukas CraggsX100.00677060697043434650414656444444050500253925,000$
12Markus NiemelainenX100.00994793687662645425444778254545050630232925,000$
13Libor HajekX100.00634286767561615425454772255656050610232900,000$
14Colton WhiteX100.00734390666962595525514771255757050600243788,865$
15Christian Djoos (C)X100.00584187796761657325554551726163050590271775,000$
16Taylor Fedun (A)X100.00787487717448485225434367415859050580332450,000$
Scratches
1Brady KeeperX100.00818098677358555228355368484445050580251775,000$
2Cole Moberg (R)X100.00767188587150515025434162394444050540203560,000$
TEAM AVERAGE100.0075648568705656564950516445484805057
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 Average
1Dereck Baribeau (R)100.0050435486535150555252304444050530221615,000$
2Amir Miftakhov (R)100.0046405067474750525050304444050490213838,333$
Scratches
1Emil Larmi (R)100.0044496068414249494343324841050480252792,500$
TEAM AVERAGE100.004744557447475052484831454305050
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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 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
Alexandre FortinRocket (Mon)LW/RW241997-02-25No184 Lbs6 ft0NoNoYes3Pro & Farm750,000$0$0$No750,000$750,000$Link
Amir MiftakhovRocket (Mon)G212000-04-26Yes183 Lbs6 ft0NoNoNo3Pro & Farm838,333$0$0$No838,333$838,333$Link
Brady KeeperRocket (Mon)D251996-06-04No197 Lbs6 ft2NoNoYes1Pro & Farm775,000$0$0$NoLink
Christian Djoos (1 Way Contract)Rocket (Mon)D271994-08-05No180 Lbs6 ft0NoNoYes1Pro & Farm775,000$0$0$NoLink
Cole MobergRocket (Mon)D202000-10-17Yes187 Lbs6 ft3NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Link
Colton WhiteRocket (Mon)D241997-05-03No185 Lbs6 ft1NoNoYes3Pro & Farm787,777$0$0$No787,760$787,654$Link
Danny O'Regan (1 Way Contract)Rocket (Mon)C/LW271994-01-30No180 Lbs5 ft10NoNoYes2Pro & Farm600,000$0$0$No600,000$Link
Dereck BaribeauRocket (Mon)G221999-01-21Yes203 Lbs6 ft6NoNoNo1Pro & Farm615,000$0$0$NoLink
Emil LarmiRocket (Mon)G251996-09-27Yes185 Lbs6 ft0NoNoYes2Pro & Farm792,500$0$0$No792,500$Link
Jimmy HuntingtonRocket (Mon)C221998-11-18No200 Lbs6 ft0NoNoNo1Pro & Farm809,167$0$0$NoLink
Jonathan DavidssonRocket (Mon)RW241997-03-12Yes185 Lbs5 ft11NoNoYes1Pro & Farm666,666$0$0$NoLink
Lane PedersonRocket (Mon)C/RW241997-08-04No190 Lbs6 ft0NoNoYes1Pro & Farm675,000$0$0$NoLink
Lean BergmannRocket (Mon)LW/RW231998-10-04No205 Lbs6 ft2NoNoNo3Pro & Farm836,667$0$0$No836,667$836,667$Link
Libor HajekRocket (Mon)D231998-02-04No203 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Lukas CraggsRocket (Mon)LW251996-05-16No190 Lbs6 ft0NoNoYes3Pro & Farm925,000$0$0$No925,000$925,000$Link
Markus NiemelainenRocket (Mon)D231998-06-07No190 Lbs6 ft6NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Martin PospisilRocket (Mon)C/LW/RW211999-11-19Yes194 Lbs6 ft2NoNoNo5Pro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$Link
Nathan ToddRocket (Mon)C251995-12-02No176 Lbs6 ft0NoNoYes3Pro & Farm811,111$0$0$No811,111$811,111$Link
Samuel AsselinRocket (Mon)C/LW231998-07-01No183 Lbs5 ft11NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Link
Taylor Fedun (1 Way Contract)Rocket (Mon)D331988-06-04No201 Lbs6 ft1NoNoYes2Pro & Farm450,000$0$0$No450,000$Link
Viktor LodinRocket (Mon)C/LW221999-06-02No185 Lbs6 ft2NoNoNo4Pro & Farm830,000$0$0$No830,000$830,000$830,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2123.95190 Lbs6 ft12.33745,582$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Viktor LodinDanny O'ReganLane Pederson40122
2Lean BergmannJimmy HuntingtonMartin Pospisil30122
3Samuel AsselinNathan ToddAlexandre Fortin20122
4Lukas CraggsDanny O'ReganJonathan Davidsson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen40122
2Libor HajekColton White30122
3Christian DjoosTaylor Fedun20122
4Markus Niemelainen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Viktor LodinDanny O'ReganLane Pederson60122
2Lean BergmannJimmy HuntingtonMartin Pospisil40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen60122
2Libor HajekColton White40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Danny O'ReganViktor Lodin60122
2Jimmy HuntingtonLane Pederson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen60122
2Libor HajekColton White40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Danny O'Regan60122Markus Niemelainen60122
2Viktor Lodin40122Libor HajekColton White40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Danny O'ReganViktor Lodin60122
2Jimmy HuntingtonLane Pederson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus Niemelainen60122
2Libor HajekColton White40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Viktor LodinDanny O'ReganLane PedersonMarkus Niemelainen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Viktor LodinDanny O'ReganLane PedersonMarkus Niemelainen
Extra Forwards
Normal PowerPlayPenalty Kill
Nathan Todd, Samuel Asselin, Alexandre FortinNathan Todd, Samuel AsselinAlexandre Fortin
Extra Defensemen
Normal PowerPlayPenalty Kill
Christian Djoos, Taylor Fedun, Libor HajekChristian DjoosTaylor Fedun, Libor Hajek
Penalty Shots
Danny O'Regan, Viktor Lodin, Jimmy Huntington, Lane Pederson, Lean Bergmann
Goalie
#1 : Dereck Baribeau, #2 : Amir Miftakhov


Filter Tips
PriorityTypeDescription
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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
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
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4220
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,383,223$ 1,383,332$ 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$




Rocket 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

Rocket Goalies Stat Leaders (Regular Season)

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

Rocket 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

Rocket 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

Rocket Goalies Stat Leaders (Play-Off)

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