WEB CLIENT LEAGUE FILES


Florida Panthers


GP: 80 | W: 36 | L: 37 | OTL: 7 | P: 79
GF: 203 | GA: 238 | PP%: 15.25% | PK%: 80.43%
GM : Mike McComish | Team Overall : 75
Next Games vs Dallas Stars
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
1Evgeni Malkin (C)XX100.00814775808093999087858477759999050802
2Blake WheelerX100.00734578808495998769917978769999050792
3Timo MeierXX100.00723882818090958568839076788880050782
4Charlie CoyleXXX100.00743286788293998277828178729590050772
5Jakub VoracekXX100.00693790758285977778757575799999050741
6Nikolaj EhlersXX100.00673286837087947862768173708077050741
7Kevin LabancX100.00693083797387927768767573788778050731
8Warren FoegeleXX100.00773082797885907673747476727875050731
9Josh Leivo (R)XX100.00764785767686887672727373738479050721
10Carter RowneyXX100.00823088768084877474727178618375050721
11Mark JankowskiXX100.00733389767884897678747276717370050721
12Nick Paul (R)XX100.00733290738282857276706772707574050690
13Oliver Ekman-Larsson X100.00743978827895908030797783709790050782
14Brady SkjeiX100.00783076798092977530756083478680050762
15Damon SeversonX100.00743280797893977630766983627674050762
16Jakub JerabekX100.00733086777788867230715777537875050721
17Kevin GravelX100.00733685757886876930676376527574050711
18Jan RuttaX100.00693082747884826930665875557270050690
Scratches
1Carl GunnarssonX100.00684290727885906830655777589990050711
2Chad RuhwedelX100.00744085747284826630655774587670050690
TEAM AVERAGE100.0073368477788891765675717767858105074
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
1Jake Allen98.0090909284909495959490909999050902
2Michael Hutchinson100.0083768184828383858482848075050800
Scratches
TEAM AVERAGE99.008783878486898990898687908705085
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jared Bednar90839081808590CAN4821,300,000$


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
1Evgeni MalkinFlorida PanthersC/RW80253156-8635193196266811879.40%8138817.356612522030000105354.64%179900010.8113100713
2Oliver Ekman-Larsson Florida PanthersD78104252-145001489612929897.75%106163320.9571522631950000102330.00%000000.6400000144
3Charlie CoyleFlorida PanthersC/LW/RW801528430120102132215591556.98%20132516.5727945200000073050.90%111200000.6500000171
4Nikolaj EhlersFlorida PanthersLW/RW80142842-15602769193441397.25%6126815.864101441203000002233.33%9000000.6600000211
5Timo MeierFlorida PanthersLW/RW80162642-714074122274972285.84%14130016.25461045205000022144.21%9500000.6503000212
6Damon SeversonFlorida PanthersD8063238-1560138828927516.74%104160920.1114540132022095020.00%000000.4700000112
7Blake WheelerFlorida PanthersRW80162238-1812087120236741876.78%14136417.06358572030000274060.00%10500000.5600000222
8Kevin LabancFlorida PanthersRW80191736412080841804912810.56%7124215.5423539199000002050.00%8000000.5801000222
9Mark JankowskiFlorida PanthersC/LW7710233341206517111436888.77%14118215.3500001011241771048.28%151200000.5600000121
10Carter RowneyFlorida PanthersC/RW80141630-11160105109143351049.79%14113414.18437211080001954148.50%90100000.5300000313
11Brady SkjeiFlorida PanthersD8072229-115001909239122617.95%121150818.86112141012198000.00%000100.3800000200
12Jakub VoracekFlorida PanthersLW/RW80131326-71204897117318511.11%12125815.7301142500041913061.86%9700000.4103000023
13Warren FoegeleFlorida PanthersLW/RW80111324-428010482153341077.19%11110213.79033106600001064057.14%8400000.4400000022
14Jakub JerabekFlorida PanthersD7441923-34401105837191910.81%91128317.34000010110113100.00%000000.3600000012
15Josh LeivoFlorida PanthersLW/RW8081018-10220727012933766.20%698712.34156381850000200055.71%7000000.3600000010
16Nick PaulFlorida PanthersC/LW755914-716037986323467.94%885211.370000300051520145.77%100500010.3300000200
17Chad RuhwedelFlorida PanthersD6221012-538097262713257.41%66119519.291121276000096000.00%000000.2000000000
18Jan RuttaFlorida PanthersD655611-1020076422151523.81%72118318.210001120000123110.00%000000.1900000021
19Carl GunnarssonFlorida PanthersD20224-31002117115518.18%1935517.7500000000027000.00%000000.2300000100
20Kevin GravelFlorida PanthersD29033-2160282174130.00%1947316.3300000000043000.00%000000.1300000000
Team Total or Average1440202372574-128509518021784244371017738.27%7322365116.4236701064692039246161592351450.33%695000120.49110100273029
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
1Jake AllenFlorida Panthers50222350.9132.7430206213815860210.85775030542
2Michael HutchinsonFlorida Panthers30141420.9063.161802009510070120.50023050221
Team Total or Average80363770.9102.9048236223325930330.77898080763


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
Blake WheelerFlorida PanthersRW348/31/1986 8:10:27 AMNo225 Lbs6 ft5NoNoNo3UFAPro & Farm6,750,000$6,500,000$6,500,000$Link / NHL Link
Brady SkjeiFlorida PanthersD263/26/1994 8:22:24 AMNo214 Lbs6 ft3NoNoNo3RFAPro & Farm2,500,000$3,000,000$3,000,000$Link / NHL Link
Carl GunnarssonFlorida PanthersD347/12/1986 8:10:27 AMNo198 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$Link / NHL Link
Carter RowneyFlorida PanthersC/RW315/10/1989 8:34:12 AMNo206 Lbs6 ft2NoNoNo3UFAPro & Farm4,500,000$4,000,000$3,000,000$Link / NHL Link
Chad RuhwedelFlorida PanthersD305/7/1990 7:06:36 AMNo191 Lbs5 ft11NoNoNo1UFAPro & Farm975,000$Link / NHL Link
Charlie CoyleFlorida PanthersC/LW/RW283/2/1992 4:47:09 AMNo220 Lbs6 ft3NoNoNo3RFAPro & Farm4,000,000$5,000,000$5,500,000$Link / NHL Link
Damon SeversonFlorida PanthersD268/7/1994 8:29:44 AMNo205 Lbs6 ft2NoNoNo3RFAPro & Farm3,000,000$3,500,000$4,000,000$Link / NHL Link
Evgeni MalkinFlorida PanthersC/RW347/12/1986 8:10:27 AMNo195 Lbs6 ft3NoNoNo3UFAPro & Farm9,500,000$9,500,000$9,500,000$Link / NHL Link
Jake AllenFlorida PanthersC/LW/RW308/7/1990 3:29:55 AMNo203 Lbs6 ft2NoNoNo2UFAPro & Farm4,500,000$4,500,000$Link / NHL Link
Jakub JerabekFlorida PanthersD295/12/1991 6:35:37 AMNo199 Lbs5 ft11NoNoNo1UFAPro & Farm2,000,000$Link / NHL Link
Jakub VoracekFlorida PanthersLW/RW318/15/1989 5:38:01 AMNo214 Lbs6 ft2NoNoNo2UFAPro & Farm6,000,000$6,000,000$Link / NHL Link
Jan RuttaFlorida PanthersD307/29/1990 6:36:31 AMNo200 Lbs6 ft3NoNoNo1UFAPro & Farm2,500,000$Link / NHL Link
Josh LeivoFlorida PanthersLW/RW275/26/1993 3:16:54 AMYes192 Lbs6 ft2NoNoNo1RFAPro & Farm1,450,000$Link / NHL Link
Kevin GravelFlorida PanthersD283/6/1992 8:33:54 AMNo211 Lbs6 ft4NoNoNo1RFAPro & Farm850,000$Link / NHL Link
Kevin LabancFlorida PanthersRW2512/12/1995 8:47:08 AMNo185 Lbs5 ft11NoNoNo2RFAPro & Farm1,250,000$1,250,000$Link / NHL Link
Mark JankowskiFlorida PanthersC/LW269/13/1994 7:44:40 AMNo212 Lbs6 ft4NoNoNo2RFAPro & Farm1,500,000$1,500,000$Link / NHL Link
Michael HutchinsonFlorida PanthersD303/2/1990 12:07:18 PMNo200 Lbs6 ft3NoNoNo2UFAPro & Farm1,000,000$1,000,000$Link / NHL Link
Nick PaulFlorida PanthersC/LW253/19/1995 9:41:05 AMYes230 Lbs6 ft4NoNoNo1RFAPro & Farm800,000$Link / NHL Link
Nikolaj EhlersFlorida PanthersLW/RW242/14/1996 9:32:55 AMNo172 Lbs6 ft0NoNoNo5RFAPro & Farm2,450,000$4,100,000$4,100,000$5,750,000$5,950,000$Link / NHL Link
Oliver Ekman-Larsson Florida PanthersD297/17/1991 7:49:22 AMNo200 Lbs6 ft2NoNoNo4UFAPro & Farm6,000,000$6,000,000$6,000,000$6,000,000$Link
Timo MeierFlorida PanthersLW/RW2410/8/1996 8:48:11 AMNo210 Lbs6 ft0NoNoNo7RFAPro & Farm3,200,000$3,700,000$4,500,000$5,500,000$6,000,000$6,600,000$6,800,000$Link / NHL Link
Warren FoegeleFlorida PanthersLW/RW244/1/1996 11:18:07 AMNo198 Lbs6 ft2NoNoNo1RFAPro & Farm800,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.41204 Lbs6 ft22.363,023,864$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
66,525,000$59,550,000$46,100,000$17,250,000$11,950,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolaj EhlersEvgeni MalkinCharlie Coyle27014
2Timo MeierCarter RowneyBlake Wheeler27014
3Jakub VoracekMark JankowskiKevin Labanc27023
4Warren FoegeleNick PaulJosh Leivo19131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brady SkjeiDamon Severson33122
2Oliver Ekman-Larsson Jan Rutta33122
3Jakub JerabekKevin Gravel33122
4Brady SkjeiDamon Severson1122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolaj EhlersEvgeni MalkinCharlie Coyle50104
2Timo MeierCarter RowneyKevin Labanc50104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh LeivoOliver Ekman-Larsson 50014
2Blake WheelerDamon Severson50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark JankowskiJakub Voracek50131
2Nick PaulWarren Foegele50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brady SkjeiDamon Severson53140
2Jakub JerabekKevin Gravel47140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Charlie Coyle50131Brady SkjeiDamon Severson55140
2Carter Rowney50131Jakub JerabekKevin Gravel45140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Evgeni MalkinCharlie Coyle50122
2Carter RowneyBlake Wheeler50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver Ekman-Larsson Jan Rutta50122
2Brady SkjeiDamon Severson50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Timo MeierEvgeni MalkinCharlie CoyleOliver Ekman-Larsson Blake Wheeler
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakub VoracekEvgeni MalkinBlake WheelerOliver Ekman-Larsson Damon Severson
Extra Forwards
Normal PowerPlayPenalty Kill
Warren Foegele, Jakub Voracek, Nikolaj EhlersJakub Voracek, Carter RowneyBlake Wheeler
Extra Defensemen
Normal PowerPlayPenalty Kill
Kevin Gravel, Damon Severson, Brady SkjeiKevin GravelOliver Ekman-Larsson , Kevin Gravel
Penalty Shots
Evgeni Malkin, Timo Meier, Jakub Voracek, Kevin Labanc, Blake Wheeler
Goalie
#1 : Jake Allen, #2 : Michael Hutchinson
Custom OT Lines Forwards
Evgeni Malkin, Blake Wheeler, Charlie Coyle, Timo Meier, Kevin Labanc, Nikolaj Ehlers, Nikolaj Ehlers, Carter Rowney, Jakub Voracek, Warren Foegele, Mark Jankowski
Custom OT Lines Defensemen
Oliver Ekman-Larsson , Damon Severson, Brady Skjei, Kevin Gravel, Jakub Jerabek


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
1Anaheim Ducks2020000014-31010000001-11010000013-200.00012300001057132618069211633400.00%6266.67%01434280751.09%1450289550.09%614120051.17%463248132512
2Arizona Coyotes21100000871110000004221010000045-120.50081523004220703218200612112527114.29%5260.00%01434280751.09%1450289550.09%614120051.17%493445142513
3Boston Bruins30300000713-61010000024-22020000059-400.00071320202230742718290105261877500.00%7271.43%01434280751.09%1450289550.09%614120051.17%644377213817
4Buffalo Sabres402011001115-42010010068-22010100057-230.375112132005141125323354612532181087342.86%8187.50%01434280751.09%1450289550.09%614120051.17%9364100295426
5Calgary Flames2020000046-21010000023-11010000023-100.0004812002020642023210581564510110.00%30100.00%01434280751.09%1450289550.09%614120051.17%493444142513
6Carolina Hurricanes3120000049-51010000002-22110000047-320.3334711000310682232140953020659111.11%8275.00%01434280751.09%1450289550.09%614120051.17%664577203617
7Chicago Blackhawks211000007611010000024-21100000052320.50071017002320571524180711414525360.00%6350.00%01434280751.09%1450289550.09%614120051.17%493344132614
8Colorado Avalanche40300100717-101010000014-330200100613-710.1257132000412012743523111323830103800.00%14285.71%01434280751.09%1450289550.09%614120051.17%977195264823
9Columbus Blue Jackets4220000010100220000007432020000036-340.500101828014330126324549013042269311436.36%12375.00%01434280751.09%1450289550.09%614120051.17%9063100304824
10Dallas Stars10001000321000000000001000100032121.00036900110126931133913420100.00%2150.00%01434280751.09%1450289550.09%614120051.17%2418256115
11Detroit Red Wings311010001091210010006421010000045-140.66710182800225112131365318626267210330.00%10280.00%01434280751.09%1450289550.09%614120051.17%765467193618
12Edmonton Oilers22000000752110000002111100000054141.0007121900331055122221062111648400.00%5180.00%01434280751.09%1450289550.09%614120051.17%443048142613
13Los Angeles Kings2110000056-11010000024-21100000032120.50059140011306420222207324143812216.67%7185.71%01434280751.09%1450289550.09%614120051.17%463248162512
14Minnesota Wild2110000067-1110000004311010000024-220.50061117003210632418210782510415120.00%5180.00%01434280751.09%1450289550.09%614120051.17%423052142411
15Montreal Canadiens4210100011101311010007701100000043160.750112031005231124494230313135267113323.08%100100.00%01434280751.09%1450289550.09%614120051.17%996992295125
16Nashville Predators21100000550110000004221010000013-220.500591400212074262424045158351218.33%3166.67%01434280751.09%1450289550.09%614120051.17%533842142412
17New Jersey Devils32100000761220000007521010000001-140.667712190041201032831440811914558112.50%6183.33%01434280751.09%1450289550.09%614120051.17%715172203617
18New York Islanders3100110011101100010003212100010088050.8331122330033418539172451133318779333.33%90100.00%11434280751.09%1450289550.09%614120051.17%704975203518
19New York Rangers31001100761200011004401100000032150.83371118001321801628342702614646116.67%6266.67%01434280751.09%1450289550.09%614120051.17%725069214020
20Ottawa Senators3210000078-12110000046-21100000032140.6677142100511088362428098303067800.00%15380.00%01434280751.09%1450289550.09%614120051.17%704870223819
21Philadelphia Flyers3110000179-2210000016511010000014-330.50071320003130963825307922812801218.33%6183.33%01434280751.09%1450289550.09%614120051.17%755371203720
22Pittsburgh Penguins30200001710-31010000034-12010000146-210.1677132000232010024442871053522741000.00%11190.91%01434280751.09%1450289550.09%614120051.17%745072223819
23San Jose Sharks2010010058-31000010034-11010000024-210.250510150001405391925061910376116.67%5180.00%01434280751.09%1450289550.09%614120051.17%523743132412
24St. Louis Blues32100000910-1220000006421010000036-340.6679182700324011337383801192412611417.14%5260.00%01434280751.09%1450289550.09%614120051.17%755567223618
25Tampa Bay Lightning3120000058-32110000056-11010000002-220.333510151013108727392101022326669222.22%13376.92%01434280751.09%1450289550.09%614120051.17%735170213618
26Toronto Maple Leafs3020001059-41010000025-32010001034-120.333561100112185272830398322960500.00%11281.82%01434280751.09%1450289550.09%614120051.17%725074203819
Total80283707512203238-3540161604301102113-1140122103211101125-24790.494203372575327161638244378082280942259673251518022363615.25%2304580.43%21434280751.09%1450289550.09%614120051.17%1905133019235751006503
28Vancouver Canucks2110000045-11010000013-21100000032120.50047110003104591719070132048300.00%10190.00%01434280751.09%1450289550.09%614120051.17%402653152512
29Vegas Golden Knights211000008711010000057-21100000030320.5008152301251060191724057128437114.29%4175.00%01434280751.09%1450289550.09%614120051.17%493444142512
30Washington Capitals320010001073110000003212100100075261.00010192900450110143351941043128661119.09%14285.71%11434280751.09%1450289550.09%614120051.17%684576233717
31Winnipeg Jets211000005411010000013-21100000041320.500510150022105221229066298515120.00%4175.00%01434280751.09%1450289550.09%614120051.17%453048142612
_Since Last GM Reset80283707512203238-3540161604301102113-1140122103211101125-24790.494203372575327161638244378082280942259673251518022363615.25%2304580.43%21434280751.09%1450289550.09%614120051.17%1905133019235751006503
_Vs Conference48162006312119139-2025108042016568-323612021115471-17510.531119217336314234367146347147748738153544832710951332317.29%1462582.88%21434280751.09%1450289550.09%614120051.17%11387911170346603300
_Vs Division23612031105672-161346021003240-81026010102432-8210.4575610215830211219470422922024513745204173521571119.30%741382.43%01434280751.09%1450289550.09%614120051.17%548382554165293145

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8079L120337257524432596732515180232
All Games
GPWLOTWOTL SOWSOLGFGA
8028377512203238
Home Games
GPWLOTWOTL SOWSOLGFGA
4016164301102113
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4012213211101125
Last 10 Games
WLOTWOTL SOWSOL
350200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2363615.25%2304580.43%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
780822809427161638
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1434280751.09%1450289550.09%614120051.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1905133019235751006503


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
2 - 2021-02-0612Florida Panthers4Buffalo Sabres3WXBoxScore
3 - 2021-02-0725Florida Panthers2Colorado Avalanche5LBoxScore
4 - 2021-02-0832Montreal Canadiens1Florida Panthers2WBoxScore
6 - 2021-02-1057St. Louis Blues1Florida Panthers2WBoxScore
8 - 2021-02-1273Montreal Canadiens3Florida Panthers1LBoxScore
10 - 2021-02-1491Florida Panthers4New York Islanders3WBoxScore
11 - 2021-02-15105New Jersey Devils3Florida Panthers4WBoxScore
13 - 2021-02-17126Florida Panthers1Carolina Hurricanes5LBoxScore
14 - 2021-02-18132Florida Panthers1Columbus Blue Jackets3LBoxScore
15 - 2021-02-19148New York Rangers3Florida Panthers2LXBoxScore
17 - 2021-02-21165Florida Panthers0Tampa Bay Lightning2LBoxScore
19 - 2021-02-23179Florida Panthers3Toronto Maple Leafs2WXXBoxScore
20 - 2021-02-24187Columbus Blue Jackets4Florida Panthers5WBoxScore
22 - 2021-02-26210Tampa Bay Lightning4Florida Panthers2LBoxScore
23 - 2021-02-27225Florida Panthers1Pittsburgh Penguins2LBoxScore
25 - 2021-03-01240Buffalo Sabres3Florida Panthers2LBoxScore
27 - 2021-03-03258Florida Panthers4Montreal Canadiens3WBoxScore
28 - 2021-03-04273New York Rangers1Florida Panthers2WXBoxScore
30 - 2021-03-06292Calgary Flames3Florida Panthers2LBoxScore
32 - 2021-03-08302Florida Panthers0Toronto Maple Leafs2LBoxScore
33 - 2021-03-09323Toronto Maple Leafs5Florida Panthers2LBoxScore
35 - 2021-03-11340Florida Panthers5Edmonton Oilers4WBoxScore
37 - 2021-03-13354Detroit Red Wings2Florida Panthers3WXBoxScore
39 - 2021-03-15371Florida Panthers2Colorado Avalanche3LXBoxScore
40 - 2021-03-16383Florida Panthers4Detroit Red Wings5LBoxScore
41 - 2021-03-17398Detroit Red Wings2Florida Panthers3WBoxScore
43 - 2021-03-19415Florida Panthers2Columbus Blue Jackets3LBoxScore
44 - 2021-03-20421Florida Panthers3Los Angeles Kings2WBoxScore
45 - 2021-03-21434New York Islanders2Florida Panthers3WXBoxScore
47 - 2021-03-23455Montreal Canadiens3Florida Panthers4WXBoxScore
50 - 2021-03-26476Carolina Hurricanes2Florida Panthers0LBoxScore
52 - 2021-03-28501Arizona Coyotes2Florida Panthers4WBoxScore
53 - 2021-03-29511Florida Panthers3New York Rangers2WBoxScore
55 - 2021-03-31527Florida Panthers2San Jose Sharks4LBoxScore
56 - 2021-04-01539Los Angeles Kings4Florida Panthers2LBoxScore
58 - 2021-04-03560Chicago Blackhawks4Florida Panthers2LBoxScore
60 - 2021-04-05578Florida Panthers4New York Islanders5LXBoxScore
61 - 2021-04-06583Florida Panthers2Colorado Avalanche5LBoxScore
62 - 2021-04-07601Tampa Bay Lightning2Florida Panthers3WBoxScore
64 - 2021-04-09621Edmonton Oilers1Florida Panthers2WBoxScore
66 - 2021-04-11635Florida Panthers2Minnesota Wild4LBoxScore
68 - 2021-04-13654Nashville Predators2Florida Panthers4WBoxScore
69 - 2021-04-14662Florida Panthers1Nashville Predators3LBoxScore
71 - 2021-04-16684Florida Panthers3Dallas Stars2WXBoxScore
72 - 2021-04-17694Colorado Avalanche4Florida Panthers1LBoxScore
74 - 2021-04-19717Anaheim Ducks1Florida Panthers0LBoxScore
75 - 2021-04-20728Florida Panthers3Carolina Hurricanes2WBoxScore
77 - 2021-04-22747Florida Panthers3St. Louis Blues6LBoxScore
78 - 2021-04-23755Boston Bruins4Florida Panthers2LBoxScore
79 - 2021-04-24773Florida Panthers4Arizona Coyotes5LBoxScore
82 - 2021-04-27787Vancouver Canucks3Florida Panthers1LBoxScore
84 - 2021-04-29806Florida Panthers0New Jersey Devils1LBoxScore
85 - 2021-04-30819Minnesota Wild3Florida Panthers4WBoxScore
87 - 2021-05-02834Florida Panthers5Chicago Blackhawks2WBoxScore
89 - 2021-05-04847St. Louis Blues3Florida Panthers4WBoxScore
91 - 2021-05-06872Philadelphia Flyers4Florida Panthers3LXXBoxScore
93 - 2021-05-08887Florida Panthers2Calgary Flames3LBoxScore
94 - 2021-05-09898Florida Panthers1Boston Bruins3LBoxScore
96 - 2021-05-11910Columbus Blue Jackets0Florida Panthers2WBoxScore
98 - 2021-05-13934Florida Panthers1Philadelphia Flyers4LBoxScore
99 - 2021-05-14941New Jersey Devils2Florida Panthers3WBoxScore
101 - 2021-05-16966Washington Capitals2Florida Panthers3WBoxScore
103 - 2021-05-18979Florida Panthers4Washington Capitals3WXBoxScore
104 - 2021-05-19996Ottawa Senators3Florida Panthers4WBoxScore
106 - 2021-05-211014Florida Panthers1Anaheim Ducks3LBoxScore
107 - 2021-05-221027Vegas Golden Knights7Florida Panthers5LBoxScore
108 - 2021-05-231035Florida Panthers4Winnipeg Jets1WBoxScore
111 - 2021-05-261061Philadelphia Flyers1Florida Panthers3WBoxScore
112 - 2021-05-271071Florida Panthers3Pittsburgh Penguins4LXXBoxScore
114 - 2021-05-291088Florida Panthers3Vegas Golden Knights0WBoxScore
115 - 2021-05-301101Buffalo Sabres5Florida Panthers4LXBoxScore
117 - 2021-06-011122Winnipeg Jets3Florida Panthers1LBoxScore
118 - 2021-06-021133Florida Panthers3Vancouver Canucks2WBoxScore
120 - 2021-06-041152Pittsburgh Penguins4Florida Panthers3LBoxScore
122 - 2021-06-061166Florida Panthers3Ottawa Senators2WBoxScore
125 - 2021-06-091186Ottawa Senators3Florida Panthers0LBoxScore
127 - 2021-06-111207Florida Panthers3Washington Capitals2WBoxScore
128 - 2021-06-121213Florida Panthers4Boston Bruins6LBoxScore
130 - 2021-06-141224San Jose Sharks4Florida Panthers3LXBoxScore
131 - 2021-06-151234Florida Panthers1Buffalo Sabres4LBoxScore
133 - 2021-06-171249Dallas Stars-Florida Panthers-
134 - 2021-06-181262Florida Panthers-Buffalo Sabres-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200050001250
Ticket Price5932197124
Attendance2226691812647719918804649348
Attendance PCT92.78%90.63%96.50%94.02%98.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
1 17963 - 93.32% 1,037,047$41,481,861$19250114

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
66,525,000$ 67,449,952$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
65,063,026$ 489,154$ 63,810,797$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,037,047$ 5 498,713$ 2,493,565$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,559,385$ 66,256,567$ 24,507,207$ 22,984,869$



Depth Chart

Left WingCenterRight Wing
Timo MeierAGE:24PO:0OV:78
Charlie CoyleAGE:28PO:0OV:77
Jakub VoracekAGE:31PO:0OV:74
Nikolaj EhlersAGE:24PO:0OV:74
Warren FoegeleAGE:24PO:0OV:73
*Josh LeivoAGE:27PO:0OV:72
Mark JankowskiAGE:26PO:0OV:72
*Samuel MorinAGE:25PO:0OV:72
Brad RichardsonAGE:35PO:0OV:70
Eric TangradiAGE:31PO:0OV:70
*Nick PaulAGE:25PO:0OV:69
*Blake PietilaAGE:27PO:0OV:66
*Julien NantelAGE:24PO:0OV:66
*Jansen HarkinsAGE:23PO:0OV:65
*Patrick NewellAGE:24PO:0OV:64
Evgeni MalkinAGE:34PO:0OV:80
Charlie CoyleAGE:28PO:0OV:77
Carter RowneyAGE:31PO:0OV:72
Mark JankowskiAGE:26PO:0OV:72
Brad RichardsonAGE:35PO:0OV:70
*Nick PaulAGE:25PO:0OV:69
*Clark BishopAGE:24PO:0OV:68
*Julien NantelAGE:24PO:0OV:66
*Maxim LetunovAGE:24PO:0OV:66
*Brian PinhoAGE:25PO:0OV:65
*Jansen HarkinsAGE:23PO:0OV:65
*Christopher BrownAGE:24PO:0OV:64
*Patrick NewellAGE:24PO:0OV:64
Evgeni MalkinAGE:34PO:0OV:80
Blake WheelerAGE:34PO:0OV:79
Timo MeierAGE:24PO:0OV:78
Charlie CoyleAGE:28PO:0OV:77
Jakub VoracekAGE:31PO:0OV:74
Nikolaj EhlersAGE:24PO:0OV:74
Kevin LabancAGE:25PO:0OV:73
Warren FoegeleAGE:24PO:0OV:73
Carter RowneyAGE:31PO:0OV:72
*Josh LeivoAGE:27PO:0OV:72
*Blake PietilaAGE:27PO:0OV:66
*Nathan BastianAGE:23PO:0OV:66
Nick LappinAGE:28PO:0OV:65
*Patrick NewellAGE:24PO:0OV:64

Defense #1Defense #2Goalie
Oliver Ekman-Larsson AGE:29PO:0OV:78
Brady SkjeiAGE:26PO:0OV:76
Damon SeversonAGE:26PO:0OV:76
Jakub JerabekAGE:29PO:0OV:72
*Samuel MorinAGE:25PO:0OV:72
Carl GunnarssonAGE:34PO:0OV:71
*Juuso ValimakiAGE:22PO:0OV:71
Kevin GravelAGE:28PO:0OV:71
Paul LaDueAGE:28PO:0OV:71
*Ian McCoshenAGE:25PO:0OV:70
Chad RuhwedelAGE:30PO:0OV:69
Jan RuttaAGE:30PO:0OV:69
*Josh JacobsAGE:24PO:0OV:67
*Mark FriedmanAGE:25PO:0OV:67
*William BorgenAGE:24PO:0OV:67
*Kevin Ekman-LarssonAGE:25PO:0OV:63
*Stefan LeBlancAGE:24PO:0OV:63
Jake AllenAGE:30PO:0OV:90
Michael HutchinsonAGE:30PO:0OV:80
*Marcus HogbergAGE:26PO:0OV:77
Troy GrosenickAGE:31PO:0OV:77
Casey DeSmithAGE:29PO:0OV:72

Prospects

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
Prospect Team NameDraft Year Overall Pick Information Lien
Adam BeckmanFlorida Panthers201978Link
Anthony RomanoFlorida Panthers2019171Link
Blake BiondiFlorida Panthers202089
Cameron CrottyFlorida Panthers2017102Link
Cole BradyFlorida Panthers2019140Link
Connor HallFlorida Panthers201676Link
Croix EvingsonFlorida Panthers2017196Link
D'Artagnan JolyFlorida Panthers2017166Link
Jack SadekFlorida Panthers2015189Link
Jackson LaCombeFlorida Panthers201947Link
Jake NeighboursFlorida Panthers202028
Jonah GadjovichFlorida Panthers201746Link
Joseph CecconiFlorida Panthers2015129Link
Joseph MasoniusFlorida Panthers2016194Link
Julius NattinenFlorida Panthers201569Link
Libor HajekFlorida Panthers201641Link
Matt FilipeFlorida Panthers201674Link
Matthew BerkovitzFlorida Panthers2014117Link
Michael AndersonFlorida Panthers2017106Link
Michael PrapavessisFlorida Panthers2014116Link
Nick PastujovFlorida Panthers2016164Link
Noah CatesFlorida Panthers2017114Link
Nolan StevensFlorida Panthers2016134Link
Philippe DesrosiersFlorida Panthers201369Link
Rafael Harvey-PinardFlorida Panthers2019202Link
Robin SaloFlorida Panthers201760Link
Ryder DonovanFlorida Panthers2019109Link
Sam ColangeloFlorida Panthers202038
Teemu KivihalmeFlorida Panthers2013129Link
Todd BurgessFlorida Panthers2016104Link
Tomas VomackaFlorida Panthers2017136Link
Tyler KlevenFlorida Panthers202059
Victor SoderstromFlorida Panthers201916Link

Draft Picks

Year R1R2R3R4R5R6R7
2021FLA FLA FLA FLA CLB FLA FLA FLA
2022FLA FLA FLA FLA FLA OTT FLA
2023FLA FLA FLA FLA FLA FLA FLA
2024FLA FLA FLA FLA FLA FLA FLA
2025FLA FLA FLA FLA FLA FLA FLA



[2/8/2021 7:13:34 PM] - Robbie Baillargeon has been deleted from Florida Panthers.
[1/20/2021 6:54:05 PM] - Patrick Newell was added to Florida Panthers.
[1/18/2021 7:48:06 PM] - Brad Richardson was added to Florida Panthers.
[1/18/2021 7:47:28 PM] - Eric Tangradi was added to Florida Panthers.
[1/18/2021 7:26:09 PM] - Carl Gunnarsson was added to Florida Panthers.
[1/18/2021 7:22:14 PM] - Michael Hutchinson was added to Florida Panthers.
[1/16/2021 2:26:36 PM] - Carter Rowney was added to Florida Panthers.
[1/14/2021 7:07:55 PM] - TRADE : From Toronto Maple Leafs to Florida Panthers : Josh Leivo (71).
[1/14/2021 7:07:55 PM] - TRADE : From Florida Panthers to Toronto Maple Leafs : Dylan DeMelo (70), Y:2022-RND:5-FLA.
[11/3/2020 10:35:58 PM] - Patrick Maroon was released.
[11/3/2020 10:35:58 PM] - Florida Panthers paid $0 to release Patrick Maroon.
[11/3/2020 10:35:54 PM] - Luke Schenn was released.
[11/3/2020 10:35:54 PM] - Florida Panthers paid $0 to release Luke Schenn.
[11/3/2020 10:35:50 PM] - Paul Carey was released.
[11/3/2020 10:35:50 PM] - Florida Panthers paid $0 to release Paul Carey.



[6/15/2021 10:21:24 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[6/12/2021 10:15:30 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[6/11/2021 12:07:41 AM] Mark Friedman from Jacksonville Jokers is back from Sprained Right Ankle Injury.
[6/11/2021 12:04:20 AM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[6/9/2021 10:36:06 PM] Auto Lines Partial Function has been run for Jacksonville Jokers.
[6/9/2021 10:36:06 PM] Auto Lines Partial Function has been run for Florida Panthers.
[6/9/2021 10:36:06 PM] Auto Roster Partial Function has been run for Florida Panthers.
[6/8/2021 11:41:52 PM] Auto Lines Partial Function has been run for Jacksonville Jokers.
[6/8/2021 11:41:52 PM] Auto Roster Farm Only Function has been run for Florida Panthers.
[6/7/2021 9:32:28 PM] Game 1177 - Mark Friedman from Jacksonville Jokers is injured (Sprained Right Ankle) and is out for 1 week.
[6/2/2021 10:17:51 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[5/31/2021 9:54:05 PM] Jan Rutta from Florida Panthers is back from Left Eye Injury.
[5/29/2021 6:13:25 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[5/27/2021 9:33:43 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[5/26/2021 8:55:20 PM] Game 1061 - Jan Rutta from Florida Panthers is injured (Left Eye) and is out for 1 week.
[5/25/2021 9:55:39 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.



No Injury or Suspension.


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
202080283707512203238-3540161604301102113-1140122103211101125-2479203372575327161638244378082280942259673251518022363615.25%2304580.43%21434280751.09%1450289550.09%614120051.17%1905133019235751006503
Total Regular Season80283707512203238-3540161604301102113-1140122103211101125-2479203372575327161638244378082280942259673251518022363615.25%2304580.43%21434280751.09%1450289550.09%614120051.17%1905133019235751006503