WEB CLIENT LEAGUE FILES


Louisville Thunder


GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Mark Kopsack | Team Overall : 68
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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 SP
1Alan Quine (R)XX100.00713789797084857377706572607875050690
2John Hayden (R)XXX100.00843084748184887472697073676360050690
3Vitaly Abramov (R)XX100.00663090836782827663697170686258050680
4Logan Shaw (R)XXX100.00754288748082846971666673626866050680
5Rasmus Asplund (R)X100.00703086787479827077676272656870050670
6Chris BourqueXX100.00704582736580807067686570599080050670
7Jeremy Bracco (R)X100.00703092797077787063656372626660050660
8Cameron Hebig (R)XXX100.00703082777375756664646170626462050650
9Travis St. Denis (R)XX100.00703081776579806967646769666060050650
10John McCarthyXX100.00704092697373766473635972608888050650
11Josh Winquist (R)XX100.00683190746975706566606171565854050630
12Steven SwavelyXX100.00723282697473606173575869564854050610
13Jake Walman (R) (A)X100.00713090787386857330707074586468050700
14Trevor Carrick (R)X100.00755882737784786730656074507068050690
15Kyle Burroughs (R)X100.00766276747585866730666073476667050690
16Maxime Lajoie (R)X100.00723094787375716530635071385758050660
17Robin Norell (R)X100.00723083766976746130594869385150050640
18Jaycob Megna (R)X100.00723191687874675830564871455453050630
Scratches
TEAM AVERAGE100.0072368675737978685665617157656405066
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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
1Vitek Vanecek (R)100.0086858580868182858684907368050800
2Cal Heeter100.0079787781798080797979836868050760
Scratches
1Matiss Kivlenieks (R)100.0084757079848080818276766058050760
2Chris Driedger (R)100.0071587082727271717269664242050670
TEAM AVERAGE100.008074768180787879807779615905075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul MacLean80797370758684CAN611635,000$


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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 Team NamePOS GP 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
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


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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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alan QuineLouisville Thunder (ANH)C/LW262/25/1993 8:14:48 AMYes203 Lbs6 ft0NoNoNo2RFAPro & Farm620,000$620,000$Link / NHL Link
Cal HeeterLouisville Thunder (ANH)C/RW3111/2/1988 10:46:27 AMNo195 Lbs6 ft4NoNoNo1UFAPro & Farm750,000$Link / NHL Link
Cameron HebigLouisville Thunder (ANH)C/LW/RW221/21/1997 9:11:09 AMYes184 Lbs5 ft10NoNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$NHL Link
Chris BourqueLouisville Thunder (ANH)LW/RW337/12/1986 8:10:27 AMNo174 Lbs5 ft8NoNoNo2UFAPro & Farm865,000$865,000$Link / NHL Link
Chris DriedgerLouisville Thunder (ANH)C/LW/RW255/18/1994 10:47:35 AMYes205 Lbs6 ft4NoNoNo2RFAPro & Farm700,000$700,000$Link / NHL Link
Jake WalmanLouisville Thunder (ANH)D232/20/1996 5:41:47 AMYes170 Lbs6 ft1NoNoNo1RFAPro & Farm775,000$Link / NHL Link
Jaycob MegnaLouisville Thunder (ANH)D2712/10/1992 5:44:20 AMYes221 Lbs6 ft6NoNoNo1RFAPro & Farm615,000$Link / NHL Link
Jeremy BraccoLouisville Thunder (ANH)RW223/17/1997 7:25:17 AMYes181 Lbs5 ft11NoNoNo2RFAPro & Farm800,000$800,000$Link / NHL Link
John HaydenLouisville Thunder (ANH)C/LW/RW242/14/1995 5:36:56 AMYes215 Lbs6 ft3NoNoNo1RFAPro & Farm780,000$Link / NHL Link
John McCarthyLouisville Thunder (ANH)C/LW338/9/1986 8:10:27 AMNo195 Lbs6 ft1NoNoNo1UFAPro & Farm635,000$Link / NHL Link
Josh WinquistLouisville Thunder (ANH)C/LW269/6/1993 8:29:49 AMYes172 Lbs5 ft11NoNoNo1RFAPro & Farm618,000$NHL Link
Kyle BurroughsLouisville Thunder (ANH)D247/12/1995 5:44:02 AMYes193 Lbs6 ft0NoNoNo1RFAPro & Farm475,000$Link / NHL Link
Logan ShawLouisville Thunder (ANH)C/LW/RW2710/5/1992 9:47:57 AMYes208 Lbs6 ft3NoNoNo3RFAPro & Farm805,000$805,000$805,000$Link / NHL Link
Matiss KivlenieksLouisville Thunder (ANH)LW/RW238/26/1996 6:46:09 AMYes178 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$950,000$Link / NHL Link
Maxime LajoieLouisville Thunder (ANH)D2211/5/1997 7:36:32 AMYes183 Lbs6 ft1NoNoNo2RFAPro & Farm550,000$550,000$Link / NHL Link
Rasmus AsplundLouisville Thunder (ANH)C2212/3/1997 3:08:04 AMYes191 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$925,000$925,000$NHL Link
Robin NorellLouisville Thunder (ANH)D242/18/1995 5:45:13 AMYes192 Lbs5 ft11NoNoNo1RFAPro & Farm625,000$Link / NHL Link
Steven SwavelyLouisville Thunder (ANH)C/RW2812/4/1991 8:52:23 AMNo190 Lbs6 ft1NoNoNo2RFAPro & Farm615,000$615,000$NHL Link
Travis St. DenisLouisville Thunder (ANH)C/RW279/17/1992 6:29:19 AMYes169 Lbs5 ft7NoNoNo3RFAPro & Farm825,000$825,000$825,000$NHL Link
Trevor CarrickLouisville Thunder (ANH)D257/4/1994 8:34:24 AMYes196 Lbs6 ft2NoNoNo2RFAPro & Farm795,000$795,000$Link / NHL Link
Vitaly AbramovLouisville Thunder (ANH)LW/RW215/8/1998 5:43:02 AMYes171 Lbs5 ft9NoNoNo1RFAPro & Farm900,000$Link / NHL Link
Vitek VanecekLouisville Thunder (ANH)RW231/9/1996 5:46:19 AMYes187 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2225.36190 Lbs6 ft11.73744,227$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
132023
2John HaydenVitaly Abramov32023
3Alan Quine24122
4John McCarthyJeremy Bracco12140
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Walman33032
2Trevor Carrick32041
3Kyle Burroughs31041
4Trevor CarrickJake Walman4023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John Hayden50005
2Vitaly AbramovAlan Quine50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Walman50005
250005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
150050
2John McCarthyJeremy Bracco50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Trevor Carrick50050
2Kyle Burroughs50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alan Quine50050Jake Walman50050
250050Kyle Burroughs50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John Hayden50014
2Vitaly Abramov50014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Trevor CarrickJake Walman50032
2Kyle Burroughs50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Vitaly AbramovJake Walman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alan QuineJohn HaydenJake Walman
Extra Forwards
Normal PowerPlayPenalty Kill
Alan Quine, , Jeremy Bracco,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Trevor Carrick, Kyle BurroughsJake Walman,
Penalty Shots
, Vitaly Abramov, , ,
Goalie
#1 : Vitek Vanecek, #2 : Cal Heeter


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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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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
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,637,300$ 1,634,425$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
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