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Lynx
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Raphael Dumais | Morale : 40 | Team Overall : 59
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Team Leaders

Team Stats
Team Info

General ManagerRaphael Dumais
DivisionDivision 4
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team18
Farm Team22
Contract Limit40 / 250
Prospects35


Filter Tips
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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
# 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
1Vasily Ponomarev (R)X100.00455090675775305549697055415674040670222775,000$
2Anthony RichardX100.00785084675876305535575754347263040630284750,000$
3Jake VirtanenX100.004445557775605555305050503054600405902843,400,000$
4Bradly Nadeau (R)X100.00455090625384306237505056305354040590193950,000$
5Nicholas BaptisteX100.00444555737160555530505050305461040580293787,500$
6Dominic TurgeonX100.00444555737360555530505050305460040580283750,000$
7Taro HiroseX100.00465072735360555531505050307153040580284850,000$
8Cameron Butler (R)X100.0045509063816030553750505030565104058N0225857,500$
9Chase De LeoX100.00444555735560555530505050305461040570293750,000$
10Dominik KahunX100.00444555735960555530505050305461040570292975,000$
11Christian WolaninX100.00465088737160555535585054307460040620293750,000$
12Brett LernoutX100.00444555738260555530505050305461040600293700,000$
13Samuel MorinX100.00444555738560555530505050305461040600293750,000$
14Sean DayX100.00615090638060555530505050306049040600264750,000$
15Ian McCoshenX100.00444555737960555530505050305461040590293700,000$
16Jake DotchinX100.00444555737860555530505050305462040590302700,000$
17Otto LeskinenX100.00444555736160555530505050305459040580273925,000$
Scratches
TEAM AVERAGE100.0047476871696349553352525131585904060
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
1Ken Appleby100.0066306587555550555052506350040570294750,000$
Scratches
TEAM AVERAGE100.006630658755555055505250635004057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Anthony RichardLynx (PHI)C281996-12-20No185 Lbs5 ft10NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Bradly NadeauLynx (PHI)RW192005-05-05Yes161 Lbs5 ft10NoNoTrade2024-08-28NoNo32024-08-08Pro & Farm950,000$950,000$0$0$No950,000$950,000$-------NoNo-------
Brett LernoutLynx (PHI)D291995-09-24No214 Lbs6 ft4NoNoN/ANoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$-------NoNo-------
Cameron ButlerLynx (PHI)C222002-06-09Yes210 Lbs6 ft4YesNoAssign ManuallyNoNo52024-10-15Pro & Farm857,500$857,500$0$0$No857,500$857,500$857,500$857,500$-----YesYesYesYes-----
Chase De LeoLynx (PHI)C291995-10-25No186 Lbs5 ft9NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Christian WolaninLynx (PHI)D291995-03-17No190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Dominic TurgeonLynx (PHI)C281996-02-25No200 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Dominik KahunLynx (PHI)LW291995-07-02No175 Lbs5 ft11NoNoN/ANoNo2Pro & Farm975,000$975,000$0$0$No975,000$--------No--------
Ian McCoshenLynx (PHI)D291995-08-05No217 Lbs6 ft3NoNoN/ANoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$-------NoNo-------
Jake DotchinLynx (PHI)D301994-03-24No210 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Jake VirtanenLynx (PHI)RW281996-08-17No226 Lbs6 ft1NoNoN/ANoNo4Pro & Farm3,400,000$3,400,000$0$0$No3,400,000$3,400,000$3,400,000$------NoNoNo------
Ken ApplebyLynx (PHI)G291995-04-10No210 Lbs6 ft4NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Nicholas BaptisteLynx (PHI)RW291995-08-04No205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm787,500$787,500$0$0$No787,500$787,500$-------NoNo-------
Otto LeskinenLynx (PHI)D271997-02-06No187 Lbs5 ft11NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Samuel MorinLynx (PHI)D291995-07-12No202 Lbs6 ft6NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Sean DayLynx (PHI)D261998-01-09No218 Lbs6 ft3NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Taro HiroseLynx (PHI)LW281996-06-30No162 Lbs5 ft10NoNoN/ANoNo4Pro & Farm850,000$850,000$0$0$No850,000$850,000$850,000$------NoNoNo------
Vasily PonomarevLynx (PHI)C222002-03-13Yes180 Lbs5 ft10NoNoTrade (Prospect)NoNo22024-08-08Pro & Farm775,000$775,000$0$0$No775,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1827.22197 Lbs6 ft13.22937,222$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
134122
230122
326122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
134122
230122
326122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
151122
249122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15112251122
24912249122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
151122
249122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
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%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
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%000%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%000%000%
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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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
Capacity20001000
Ticket Price350
Attendance0%0%
Attendance PCT0%0%

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

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




Lynx 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

Lynx Goalies Stat Leaders (Regular Season)

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

Lynx 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

Lynx 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

Lynx Goalies Stat Leaders (Play-Off)

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