WEB CLIENT LEAGUE FILES


Carolina Panthers


GP: 21 | W: 16 | L: 5 | OTL: 0 | P: 32
GF: 82 | GA: 55 | PP%: 19.30% | PK%: 83.93%
GM : Ron Jones | 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 SP
1Phil Di Giuseppe (R) (C)XX100.00803082757487917765747474687974050721
2Adam Gaudette (R)XXX100.00693082807082857464707472707370050700
3Ryan Poehling (R) (A)XX100.00753074797582807579747073706870050700
4Alexandre Texier (R)XXX100.00683088827384847566747372717066050700
5Michael McLeod (R)XX100.00796878807281847178726472666772050700
6Curtis McKenzie (R)XX100.00806483708279847067666573548986050690
7Matthew Peca (R)XXX100.00623099806685867672746971666865050690
8Mathieu Joseph (R)XXX100.00713485837379857267696672657568050690
9Kevin Stenlund (R)XX100.00683092708184827372707372717468050690
10Jesper Boqvist (R)XXX100.00713093827082837468697270736865050690
11Jujhar Khaira (R)XX100.00757284718278807074676474627370050680
12Kole Lind (R)X100.00745678767282827164696570657066050670
13Adam Boqvist (R)X100.00673096816888907330706774577268050711
14Reid McNeill (R)X100.00845364738185867030686373437068050700
15Noah Dobson (R) (A)X100.00673095797485857030685873527073050700
16Dennis Gilbert (R)X100.00778280758279806430625672457068050690
17Conor Timmins (R)X100.00713074797483787130685573486866050690
18Olli Juolevi (R)X100.00653080807380807030675271466664050680
Scratches
1Vitali Kravtsov (R)XX100.00663094837578767264676768716663050670
2Kristian Vesalainen (R)XX100.00683090767882806862666568686864050660
3Colton White (R)X100.00683687767484846530635870486666050670
TEAM AVERAGE100.0072418578758283715669657261716905069
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
1Anton Forsberg (R)100.0083858583838383828382877370050800
2Kaapo Kahkonen (R)100.0086827986878282808179827068050790
Scratches
1Pat Nagle100.0077767779767575727574726665050730
TEAM AVERAGE100.008281808382808078807880706805077
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Willie Desjardins76807879858574CAN634700,000$


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 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
1Phil Di GiuseppeCarolina Panthers (CAR)LW/RW211013231320353289245211.24%241319.70235648000001138.46%2600001.1100000114
2Matthew PecaCarolina Panthers (CAR)C/LW/RW218142272012636555812.31%837317.770551048000001047.72%48200111.1800000410
3Ryan PoehlingCarolina Panthers (CAR)C/LW211110211340426067295016.42%742720.352021048000083150.48%52300000.9800000132
4Adam BoqvistCarolina Panthers (CAR)D2131316-30013324214267.14%3247722.75202164200005100.00%000000.6700000010
5Alexandre TexierCarolina Panthers (CAR)C/LW/RW215111672028317427596.76%440119.110551148000002038.46%3900000.8000000000
6Noah DobsonCarolina Panthers (CAR)D2121315132011293013206.67%2952324.941121154000047000.00%000000.5700000003
7Mathieu JosephCarolina Panthers (CAR)C/LW/RW21961562019304162921.95%330414.51000000000453054.55%2200000.9800000120
8Adam GaudetteCarolina Panthers (CAR)C/LW/RW217714920212764205810.94%239618.881231148000031051.52%3300000.7100000101
9Jesper BoqvistCarolina Panthers (CAR)C/LW/RW2186141540104361133413.11%335616.9900000000001038.71%3100010.7800000100
10Reid McNeillCarolina Panthers (CAR)D214913632095362592316.00%2251824.69224953000016100.00%000000.5000000021
11Michael McLeodCarolina Panthers (CAR)C/RW21381188063584212347.14%337217.741347470001430150.23%44000000.5900000102
12Conor TimminsCarolina Panthers (CAR)D2101010151203918142120.00%2038118.19011741000040000.00%000000.5200000020
13Kevin StenlundCarolina Panthers (CAR)C/RW21461062081829113113.79%630814.70000020000470047.19%8900000.6500000010
14Olli JuoleviCarolina Panthers (CAR)D21088154022217230.00%2634216.2900001000044000.00%000000.4700000002
15Dennis GilbertCarolina Panthers (CAR)D211564240712115636.67%2344121.0200013000039000.00%000000.2700000001
16Kole LindCarolina Panthers (CAR)RW21145-3401016365182.78%01748.3000000000001050.00%1200000.5700000001
17Curtis McKenzieCarolina Panthers (CAR)LW/RW21325-310017172651011.54%221810.41000000001441140.00%1000000.4600000110
18Jujhar KhairaCarolina Panthers (CAR)C/LW21303-30014222331413.04%11748.3000000000000054.03%21100000.3400000000
Team Total or Average37882145227125116053057475020653410.93%193660717.4811223399489000238716449.37%191800120.6900000111417
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
1Kaapo KahkonenCarolina Panthers (CAR)2015400.9112.69113642515720000.0000201501
2Anton ForsbergCarolina Panthers (CAR)41100.9671.182040041230000.0000120010
Team Total or Average2416500.9212.46134042556950000.00002121511


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 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
Adam BoqvistCarolina Panthers (CAR)D208/15/2000 5:16:10 PMYes179 Lbs5 ft11NoNoNo3RFAPro & Farm1,000,000$1,000,000$1,000,000$Link / NHL Link
Adam GaudetteCarolina Panthers (CAR)C/LW/RW2410/3/1996 3:10:08 PMYes170 Lbs6 ft1NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Alexandre TexierCarolina Panthers (CAR)C/LW/RW219/13/1999 3:06:04 PMYes192 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Anton ForsbergCarolina Panthers (CAR)RW2811/27/1992 3:09:12 AMYes192 Lbs6 ft3NoNoNo2RFAPro & Farm800,000$800,000$Link / NHL Link
Colton WhiteCarolina Panthers (CAR)D235/3/1997 1:23:53 AMYes185 Lbs6 ft1NoNoNo3RFAPro & Farm685,000$685,000$685,000$Link / NHL Link
Conor TimminsCarolina Panthers (CAR)D229/18/1998 3:14:31 PMYes185 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Curtis McKenzieCarolina Panthers (CAR)LW/RW292/22/1991 5:35:20 AMYes205 Lbs6 ft2NoNoNo1UFAPro & Farm750,000$Link / NHL Link
Dennis GilbertCarolina Panthers (CAR)D2410/30/1996 2:49:14 AMYes216 Lbs6 ft2NoNoNo2RFAPro & Farm600,000$600,000$Link / NHL Link
Jesper BoqvistCarolina Panthers (CAR)C/LW/RW2210/30/1998 5:14:42 PMYes180 Lbs6 ft0NoNoNo3RFAPro & Farm850,000$850,000$850,000$Link / NHL Link
Jujhar KhairaCarolina Panthers (CAR)C/LW268/13/1994 5:02:09 AMYes212 Lbs6 ft4NoNoNo1RFAPro & Farm825,000$Link / NHL Link
Kaapo KahkonenCarolina Panthers (CAR)D248/16/1996 10:26:52 AMYes214 Lbs6 ft2NoNoNo2RFAPro & Farm600,000$600,000$NHL Link
Kevin StenlundCarolina Panthers (CAR)C/RW249/20/1996 5:13:32 PMYes209 Lbs6 ft4NoNoNo2RFAPro & Farm800,000$800,000$Link / NHL Link
Kole LindCarolina Panthers (CAR)RW2210/16/1998 3:11:49 PMYes178 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Kristian VesalainenCarolina Panthers (CAR)LW/RW216/1/1999 3:10:27 PMYes207 Lbs6 ft3NoNoNo3RFAPro & Farm850,000$850,000$850,000$Link / NHL Link
Mathieu JosephCarolina Panthers (CAR)C/LW/RW232/9/1997 3:03:52 AMYes190 Lbs6 ft1NoNoNo3RFAPro & Farm700,000$1,000,000$1,000,000$Link / NHL Link
Matthew PecaCarolina Panthers (CAR)C/LW/RW274/27/1993 11:18:54 AMYes182 Lbs5 ft9NoNoNo2RFAPro & Farm850,000$850,000$Link / NHL Link
Michael McLeodCarolina Panthers (CAR)C/RW222/3/1998 2:22:30 PMYes188 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Noah DobsonCarolina Panthers (CAR)D201/7/2000 5:17:29 PMYes184 Lbs6 ft4NoNoNo3RFAPro & Farm975,000$975,000$975,000$Link / NHL Link
Olli JuoleviCarolina Panthers (CAR)D225/5/1998 3:16:06 PMYes182 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$925,000$925,000$Link / NHL Link
Pat NagleCarolina Panthers (CAR)C/LW/RW339/21/1987 4:20:50 AMNo169 Lbs6 ft2NoNoNo2UFAPro & Farm600,000$600,000$Link / NHL Link
Phil Di GiuseppeCarolina Panthers (CAR)LW/RW2710/9/1993 4:44:28 AMYes192 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$950,000$Link / NHL Link
Reid McNeillCarolina Panthers (CAR)D284/29/1992 9:52:04 AMYes215 Lbs6 ft4NoNoNo1RFAPro & Farm750,000$Link / NHL Link
Ryan PoehlingCarolina Panthers (CAR)C/LW211/3/1999 1:47:26 PMYes183 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$925,000$Link / NHL Link
Vitali KravtsovCarolina Panthers (CAR)LW/RW2112/23/1999 3:07:36 PMYes189 Lbs6 ft3NoNoNo3RFAPro & Farm910,000$910,000$910,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2423.92192 Lbs6 ft22.33824,792$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jesper BoqvistRyan PoehlingPhil Di Giuseppe32014
2Alexandre TexierMatthew PecaAdam Gaudette30023
3Mathieu JosephMichael McLeodKevin Stenlund23032
4Curtis McKenzieJujhar KhairaKole Lind15032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reid McNeillNoah Dobson40023
2Adam BoqvistDennis Gilbert36032
3Conor TimminsOlli Juolevi24032
4Adam BoqvistReid McNeill0032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexandre TexierRyan PoehlingPhil Di Giuseppe50005
2Michael McLeodMatthew PecaAdam Gaudette50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Reid McNeillNoah Dobson60014
2Adam BoqvistConor Timmins40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael McLeodMathieu Joseph50050
2Kevin StenlundCurtis McKenzie50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis GilbertOlli Juolevi50050
2Noah DobsonConor Timmins50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael McLeod50050Noah DobsonDennis Gilbert50050
2Jujhar Khaira50050Reid McNeillConor Timmins50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan PoehlingAlexandre Texier50032
2Matthew PecaAdam Gaudette50032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reid McNeillNoah Dobson50032
2Adam BoqvistDennis Gilbert50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Phil Di GiuseppeRyan PoehlingMatthew PecaAdam BoqvistNoah Dobson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matthew PecaRyan PoehlingMichael McLeodReid McNeillNoah Dobson
Extra Forwards
Normal PowerPlayPenalty Kill
Alexandre Texier, Jesper Boqvist, Matthew PecaKevin Stenlund, Jesper BoqvistRyan Poehling
Extra Defensemen
Normal PowerPlayPenalty Kill
Conor Timmins, Noah Dobson, Adam BoqvistAdam BoqvistDennis Gilbert, Reid McNeill
Penalty Shots
Jesper Boqvist, Ryan Poehling, Adam Gaudette, Phil Di Giuseppe, Alexandre Texier
Goalie
#1 : Kaapo Kahkonen, #2 : Anton Forsberg


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
1Adirondack Angels541000002213932100000129322000000104680.80022406201362220419225622920758142412013414321.43%9188.89%041179851.50%38177649.10%15534445.06%537377518159286142
2Binghamton Senators64200000171343300000011653120000067-180.66717304700362220424225622920758231654016815213.33%20480.00%041179851.50%38177649.10%15534445.06%537377518159286142
3Louisville Thunder6420000023185330000001147312000001214-280.66723416401362220419525622920758182634213915320.00%19384.21%041179851.50%38177649.10%15534445.06%537377518159286142
4Pensacola Ice Flyers44000000201192200000011652200000095481.0002034540036222041212562292075814024188913323.08%8187.50%041179851.50%38177649.10%15534445.06%537377518159286142
Total2116500000825527111010000045252010640000037307320.7628214522702362220475025622920758695193120530571119.30%56983.93%041179851.50%38177649.10%15534445.06%537377518159286142
_Since Last GM Reset2116500000825527111010000045252010640000037307320.7628214522702362220475025622920758695193120530571119.30%56983.93%041179851.50%38177649.10%15534445.06%537377518159286142
_Vs Conference1512300000593722871000003421137520000025169240.80059104163013622204555256229207585131307839142819.05%37683.78%041179851.50%38177649.10%15534445.06%537377518159286142

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2132W18214522775069519312053002
All Games
GPWLOTWOTL SOWSOLGFGA
2116500008255
Home Games
GPWLOTWOTL SOWSOLGFGA
1110100004525
Visitor Games
GPWLOTWOTL SOWSOLGFGA
106400003730
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
571119.30%56983.93%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
256229207583622204
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
41179851.50%38177649.10%15534445.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
537377518159286142


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 - 2021-06-234Adirondack Angels4Carolina Panthers7WBoxScore
2 - 2021-06-2412Adirondack Angels4Carolina Panthers2LBoxScore
3 - 2021-06-2520Carolina Panthers5Adirondack Angels4WXBoxScore
4 - 2021-06-2628Carolina Panthers5Adirondack Angels0WBoxScore
5 - 2021-06-2736Adirondack Angels1Carolina Panthers3WBoxScore
8 - 2021-06-3058Carolina Panthers2Binghamton Senators3LBoxScore
9 - 2021-07-0162Carolina Panthers2Binghamton Senators1WXBoxScore
10 - 2021-07-0266Binghamton Senators1Carolina Panthers2WBoxScore
11 - 2021-07-0370Binghamton Senators2Carolina Panthers3WBoxScore
12 - 2021-07-0474Carolina Panthers2Binghamton Senators3LBoxScore
13 - 2021-07-0578Binghamton Senators3Carolina Panthers6WBoxScore
15 - 2021-07-0785Pensacola Ice Flyers3Carolina Panthers6WBoxScore
16 - 2021-07-0887Pensacola Ice Flyers3Carolina Panthers5WBoxScore
17 - 2021-07-0989Carolina Panthers4Pensacola Ice Flyers1WBoxScore
18 - 2021-07-1091Carolina Panthers5Pensacola Ice Flyers4WXBoxScore
22 - 2021-07-1499Carolina Panthers5Louisville Thunder6LBoxScore
23 - 2021-07-15100Carolina Panthers4Louisville Thunder3WXBoxScore
24 - 2021-07-16101Louisville Thunder1Carolina Panthers5WBoxScore
25 - 2021-07-17102Louisville Thunder0Carolina Panthers2WBoxScore
26 - 2021-07-18103Carolina Panthers3Louisville Thunder5LBoxScore
27 - 2021-07-19104Louisville Thunder3Carolina Panthers4WBoxScore



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
30 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,979,500$ 1,993,250$ 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
20202116500000825527111010000045252010640000037307328214522702362220475025622920758695193120530571119.30%56983.93%041179851.50%38177649.10%15534445.06%537377518159286142
Total Playoff2116500000825527111010000045252010640000037307328214522702362220475025622920758695193120530571119.30%56983.93%041179851.50%38177649.10%15534445.06%537377518159286142