Login

Florida Panthers
GP: 14 | W: 8 | L: 5 | OTL: 1 | P: 16
GF: 40 | GA: 36 | PP%: 15.00% | PK%: 89.19%
GM : Stéphane Guillemette | Morale : 40 | Team Overall : 73
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Montreal Canadiens
7-6-1, 15pts
1
FINAL
0 Florida Panthers
8-5-1, 16pts
Team Stats
W4StreakW1
4-2-1Home Record3-3-1
3-4-0Away Record5-2-0
6-3-1Last 10 Games7-3-0
2.93Goals Per Game2.86
3.93Goals Against Per Game2.57
27.50%Power Play Percentage15.00%
83.02%Penalty Kill Percentage89.19%
Florida Panthers
8-5-1, 16pts
3
FINAL
2 Detroit Red Wings
6-7-1, 12pts
Team Stats
W1StreakL2
3-3-1Home Record3-4-0
5-2-0Away Record3-3-1
7-3-0Last 10 Games4-5-1
2.86Goals Per Game3.29
2.57Goals Against Per Game4.14
15.00%Power Play Percentage20.00%
89.19%Penalty Kill Percentage85.37%
Team Leaders
Goals
Alex Tuch
6
Assists
Ryan Ellis
10
Points
William Karlsson
13
Plus/Minus
Matt Roy
4
Wins
Frederik Andersen
7
Save Percentage
Spencer Knight
0.921

Team Stats
Goals For
40
2.86 GFG
Shots For
431
30.79 Avg
Power Play Percentage
15.0%
6 GF
Offensive Zone Start
42.3%
Goals Against
36
2.57 GAA
Shots Against
392
28.00 Avg
Penalty Kill Percentage
89.2%%
4 GA
Defensive Zone Start
39.0%
Team Info

General ManagerStéphane Guillemette
CoachDean Evason
DivisionAtlantic
ConferenceEastern Conference
CaptainRyan Ellis
Assistant #1Mitchell Marner
Assistant #2Tanner Pearson


Arena Info

NameFLA Live Arena
Capacity18,000
Attendance0
Season Tickets7,200


Roster Info

Pro Team20
Farm Team12
Contract Limit32 / 250
Prospects5


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap82,500,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account12,000,000$
Projected Bank Account12,000,000$


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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
1Mitchell Marner (A)X100.00623490846992888566928384896874854078025310,903,000$
2Roope HintzXX100.0067379085878994828381837682687469407702513,150,000$
3Alex TuchXX100.0062388678898883736874777976687079407302644,750,000$
4William KarlssonX100.0058359578738990758877738278747157407302955,900,000$
5Joel FarabeeX100.0064468078718789776272787976626584407202265,000,000$
6Brandon SaadXX100.0057369373809591745772776674787159407102944,500,000$
7Calle JarnkrokXXX100.0058349274708788738272707473767255407003142,100,000$
8Tanner Pearson (A)X100.0068428270798688715670717269757362407003023,250,000$
9Jake EvansXX100.0072378671698479688267658364676958406902631,700,000$
10Zach SanfordX100.008273856788858965586667756369705640690271850,000$
11Curtis LazarXX100.0086359466758189678162658063706871406802731,000,000$
12Ross ColtonX100.0077358872738086698266746173667057406802611,125,000$
13Jake MuzzinX100.0082418668899285693078628453807333407503325,625,000$
14Ryan Ellis (C)X100.0066368975679182763083728559787768407403156,250,000$
15Neal PionkX100.0086358275719089723081587452697337407302735,875,000$
16Matt RoyX100.0076368467799188663074568352686757407202723,150,000$
17Mattias SamuelssonX100.008445866392888759307358785062647840710221925,000$
18Jacob BrysonX100.0063358369648988663071557653656759406802421,850,000$
Scratches
Farm Team
1Jaret Anderson-DolanXX100.006939887270878568766370667263657443670231750,000$
2Parker KellyXX100.008341696672798864596268716463655340660232762,500$
3Rasmus KupariXX100.007338876580798567766665646863668246660221863,333$
4Ryan McLeodXXX100.006842916982818868806564666763647540660231798,000$
5Carl GrundstromXX100.0086358766737986625863665763656769406402421,300,000$
6Lias AnderssonXXX100.006035826574787563725860576264658540610231750,000$
7Alec RegulaX100.007742786388847862306159645362646743660221866,667$
8Markus NiemelainenX100.008545886290797759306057665064666840660241762,500$
9Olli JuoleviX100.006739916577807164306361625564668440640241750,000$
10Lucas JohansenX100.006137896276778364306558635065677740640241762,500$
TEAM AVERAGE100.00713986707785856957706772646869664069
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary Average
1Frederik Andersen100.009489859493929493929493838752408903214,500,000$
2Martin Jones100.008786818486858786858786808653408303212,000,000$
Scratches
Farm Team
1Spencer Knight100.00838684858281838281838261658546780211925,000$
2Nico Daws100.00738180877271737271737262676540720212850,833$
TEAM AVERAGE100.0084868388838284838284837276644281
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dean Evason80879278868061CAN581100,000$


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 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
1William KarlssonFlorida PanthersC1458131008355115409.80%226719.1222411330002101019.1232610000.9700000100
2Alex TuchFlorida PanthersC/RW1466121140212952184811.54%327519.6613411340000123019.665920000.8702000201
3Mitchell MarnerFlorida PanthersRW146612140173748133412.50%830521.86011334000011121.863111000.7802000201
4Ryan EllisFlorida PanthersD14210120005102410248.33%2034724.80123935000031000.00%011000.6900000020
5Roope HintzFlorida PanthersC/LW14549000173750234910.00%330121.51101634000010121.5136320000.6012000031
6Brandon SaadFlorida PanthersLW/RW1425732010152214239.09%228220.20134534000140020.201300000.5000000010
7Calle JarnkrokFlorida PanthersC/LW/RW14336-1203302131214.29%119814.17000010000400114.1723000000.6000000010
8Jake MuzzinFlorida PanthersD1406601203615194100.00%1831822.76011935000126000.00%000000.3800000102
9Joel FarabeeFlorida PanthersLW14235-4402112399305.13%024517.55000734000001017.551121100.4100000100
10Neal PionkFlorida PanthersD14145-120041685912.50%630521.8500053200004100.00%000000.3300000001
11Curtis LazarFlorida PanthersC/RW1404430015910560.00%214010.03000000001160010.031000000.5700000000
12Matt RoyFlorida PanthersD142244201613176811.76%1824817.76000726000031000.00%001000.3200000010
13Ross ColtonFlorida PanthersC13303220101100430.00%0644.950000000000014.957240000.9300000001
14Zach SanfordFlorida PanthersLW140332209452110.00%0684.910000000000004.91400000.8700000000
15Jacob BrysonFlorida PanthersD14022-340121210180.00%1425318.0900000000010000.00%000000.1600000000
16Tanner PearsonFlorida PanthersLW14112000167247264.17%318313.1300000000000013.131500000.2200000000
17Jake EvansFlorida PanthersC/RW13011-32011414280.00%01299.9800000000036009.981001000.1500000000
18Mattias SamuelssonFlorida PanthersD1410138024972514.29%1221715.5600006000025000.00%001000.0900000000
19Rasmus KupariCheckers (FLA)C/RW1000000000000.00%077.850000000005000.00%000000.00%00000000
Team Total or Average251396810787802922854311393559.05%112416316.59612187334000052597452.01%1144136100.5116000787
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
1Frederik AndersenFlorida Panthers117400.9082.46660002729219100.00%0113010
2Martin JonesFlorida Panthers21100.9192.42124005620001.0003211001
3Spencer KnightCheckers (FLA)10010.9212.7765003380000.667310000
Team Total or Average148510.9112.478500035392191061414011


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alex TuchFlorida PanthersC/RW261996-05-10No217 Lbs6 ft4NoNoNo4Pro & Farm4,750,000$4,750,000$4,750,000$No4,750,000$4,750,000$4,750,000$Link
Brandon SaadFlorida PanthersLW/RW291992-10-27No215 Lbs6 ft1NoNoNo4Pro & Farm4,500,000$4,500,000$4,500,000$No4,500,000$4,500,000$4,500,000$Link
Calle JarnkrokFlorida PanthersC/LW/RW311991-09-25No186 Lbs5 ft11NoNoNo4Pro & Farm2,100,000$2,100,000$2,100,000$No2,100,000$2,100,000$2,100,000$Link
Curtis LazarFlorida PanthersC/RW271995-02-02No203 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$No1,000,000$1,000,000$Link
Frederik AndersenFlorida PanthersG321989-10-02No238 Lbs6 ft4NoNoNo1Pro & Farm4,500,000$4,500,000$4,500,000$NoLink
Jacob BrysonFlorida PanthersD241997-11-18No175 Lbs5 ft9NoNoNo2Pro & Farm1,850,000$1,850,000$1,850,000$No1,850,000$Link
Jake EvansFlorida PanthersC/RW261996-06-02No176 Lbs6 ft0NoNoNo3Pro & Farm1,700,000$1,700,000$1,700,000$No1,700,000$1,700,000$Link
Jake MuzzinFlorida PanthersD331989-02-21No226 Lbs6 ft3NoNoNo2Pro & Farm5,625,000$5,625,000$5,625,000$No5,625,000$Link
Joel FarabeeFlorida PanthersLW222000-02-25No183 Lbs6 ft0NoNoNo6Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$Link
Martin JonesFlorida PanthersG321990-01-10No190 Lbs6 ft4NoNoNo1Pro & Farm2,000,000$2,000,000$2,000,000$NoLink
Matt RoyFlorida PanthersD271995-03-01No205 Lbs6 ft1NoNoNo2Pro & Farm3,150,000$3,150,000$3,150,000$No3,150,000$Link
Mattias SamuelssonFlorida PanthersD222000-03-14No227 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$925,000$NoLink
Mitchell MarnerFlorida PanthersRW251997-05-05No172 Lbs6 ft0NoNoNo3Pro & Farm10,903,000$10,903,000$10,903,000$No10,903,000$10,903,000$Link
Neal PionkFlorida PanthersD271995-07-29No186 Lbs6 ft0NoNoNo3Pro & Farm5,875,000$5,875,000$5,875,000$No5,875,000$5,875,000$Link
Roope HintzFlorida PanthersC/LW251996-11-17No210 Lbs6 ft3NoNoNo1Pro & Farm3,150,000$3,150,000$3,150,000$NoLink
Ross ColtonFlorida PanthersC261996-09-11No191 Lbs6 ft0NoNoNo1Pro & Farm1,125,000$1,125,000$1,125,000$NoLink
Ryan EllisFlorida PanthersD311991-01-03No180 Lbs5 ft10NoNoNo5Pro & Farm6,250,000$6,250,000$6,250,000$No6,250,000$6,250,000$6,250,000$6,250,000$Link
Tanner PearsonFlorida PanthersLW301992-08-10No201 Lbs6 ft1NoNoNo2Pro & Farm3,250,000$3,250,000$3,250,000$No3,250,000$Link
William KarlssonFlorida PanthersC291993-01-08No192 Lbs6 ft0NoNoNo5Pro & Farm5,900,000$5,900,000$5,900,000$No5,900,000$5,900,000$5,900,000$5,900,000$Link
Zach SanfordFlorida PanthersLW271994-11-09No206 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$850,000$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2027.55199 Lbs6 ft12.703,720,150$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
74,403,000$61,853,000$47,978,000$28,500,000$17,150,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon SaadRoope HintzMitchell Marner40014
2Tanner PearsonWilliam KarlssonAlex Tuch32014
3Joel FarabeeCalle JarnkrokCurtis Lazar21032
4Zach SanfordRoss ColtonJake Evans7122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan EllisNeal Pionk40023
2Jake MuzzinJacob Bryson35041
3Mattias SamuelssonMatt Roy25131
4Jake MuzzinRyan Ellis0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel FarabeeRoope HintzMitchell Marner60005
2Brandon SaadWilliam KarlssonAlex Tuch40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan EllisJake Muzzin60014
2Neal PionkMatt Roy40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Calle JarnkrokJake Evans60041
2Alex TuchCurtis Lazar40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan EllisMatt Roy60050
2Jake MuzzinMattias Samuelsson40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Evans60041Ryan EllisMatt Roy60050
2Curtis Lazar40041Jake MuzzinMattias Samuelsson40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1William KarlssonJoel Farabee60014
2Roope HintzMitchell Marner40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan EllisJake Muzzin60032
2Neal PionkMatt Roy40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeWilliam KarlssonMitchell MarnerRyan EllisNeal Pionk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeWilliam KarlssonMitchell MarnerRyan EllisJake Muzzin
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Tuch, Tanner Pearson, Jake EvansTanner Pearson, Jake EvansWilliam Karlsson
Extra Defensemen
Normal PowerPlayPenalty Kill
Mattias Samuelsson, Ryan Ellis, Neal PionkMattias SamuelssonJacob Bryson, Neal Pionk
Penalty Shots
Alex Tuch, Roope Hintz, Mitchell Marner, Brandon Saad, Joel Farabee
Goalie
#1 : Frederik Andersen, #2 : Martin Jones
Custom OT Lines Forwards
Mitchell Marner, Roope Hintz, Alex Tuch, Brandon Saad, Joel Farabee, William Karlsson, William Karlsson, Tanner Pearson, Ross Colton, Jake Evans, Calle Jarnkrok
Custom OT Lines Defensemen
Ryan Ellis, Jake Muzzin, Neal Pionk, Matt Roy, Mattias Samuelsson


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
1Boston Bruins211000005411010000013-21100000041320.5005712002210602917140581818297114.29%8187.50%025947654.41%23543953.53%10121048.10%453150152311
2Buffalo Sabres21001000954110000004131000100054141.0009152400134154132019260914464250.00%7185.71%025947654.41%23543953.53%10121048.10%493445142613
3Detroit Red Wings210000016601000000134-11100000032130.75061218002220591922183681810426116.67%5180.00%025947654.41%23543953.53%10121048.10%533844152613
4Montreal Canadiens201000104401010000001-11000001043110.25046100030016228923546111029600.00%40100.00%025947654.41%23543953.53%10121048.10%564244122312
5Ottawa Senators2110000034-11010000013-21100000021120.5003690010206014262003712446300.00%2150.00%025947654.41%23543953.53%10121048.10%523742132412
6Tampa Bay Lightning21100000550110000004311010000012-120.5005914004100501519160572118537114.29%90100.00%025947654.41%23543953.53%10121048.10%483245142512
7Toronto Maple Leafs21100000880110000005321010000035-220.5008132100332086333419066234477114.29%20100.00%025947654.41%23543953.53%10121048.10%523739132714
Total1465010114036473300001181807320101022184160.5714068108001611112431151147129103921127829240615.00%37489.19%025947654.41%23543953.53%10121048.10%3582543139917991
_Since Last GM Reset1465010114036473300001181807320101022184160.5714068108001611112431151147129103921127829240615.00%37489.19%025947654.41%23543953.53%10121048.10%3582543139917991
_Vs Conference1465010114036473300001181807320101022184160.5714068108001611112431151147129103921127829240615.00%37489.19%025947654.41%23543953.53%10121048.10%3582543139917991
_Vs Division1465010114036473300001181807320101022184160.5714068108001611112431151147129103921127829240615.00%37489.19%025947654.41%23543953.53%10121048.10%3582543139917991

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1416W140681084313921127829200
All Games
GPWLOTWOTL SOWSOLGFGA
146510114036
Home Games
GPWLOTWOTL SOWSOLGFGA
73300011818
Visitor Games
GPWLOTWOTL SOWSOLGFGA
73210102218
Last 10 Games
WLOTWOTL SOWSOL
630010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
40615.00%37489.19%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
151147129101611112
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
25947654.41%23543953.53%10121048.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3582543139917991


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 - 2022-09-144Florida Panthers3Toronto Maple Leafs5ALBoxScore
2 - 2022-09-1521Boston Bruins3Florida Panthers1BLBoxScore
3 - 2022-09-1643Detroit Red Wings4Florida Panthers3BLXXBoxScore
4 - 2022-09-1751Florida Panthers5Buffalo Sabres4AWXBoxScore
5 - 2022-09-1869Florida Panthers4Boston Bruins1AWBoxScore
7 - 2022-09-2089Buffalo Sabres1Florida Panthers4BWBoxScore
9 - 2022-09-22106Florida Panthers1Tampa Bay Lightning2ALBoxScore
10 - 2022-09-23123Ottawa Senators3Florida Panthers1BLBoxScore
11 - 2022-09-24135Florida Panthers2Ottawa Senators1AWBoxScore
12 - 2022-09-25144Florida Panthers4Montreal Canadiens3AWXXBoxScore
13 - 2022-09-26160Tampa Bay Lightning3Florida Panthers4BWBoxScore
15 - 2022-09-28179Toronto Maple Leafs3Florida Panthers5BWBoxScore
18 - 2022-10-01206Montreal Canadiens1Florida Panthers0BLBoxScore
19 - 2022-10-02220Florida Panthers3Detroit Red Wings2AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price110633828210
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 74,403,000$ 74,403,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 2 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 12,000,000$ 12,000,000$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 82,500,000$ 82,500,000$ 0$



Depth Chart

Left WingCenterRight Wing
Roope HintzAGE:25PO:69OV:77
Joel FarabeeAGE:22PO:84OV:72
Brandon SaadAGE:29PO:59OV:71
Tanner PearsonAGE:30PO:62OV:70
Calle JarnkrokAGE:31PO:55OV:70
Zach SanfordAGE:27PO:56OV:69
Jaret Anderson-DolanAGE:23PO:74OV:67
Ryan McLeodAGE:23PO:75OV:66
Carl GrundstromAGE:24PO:69OV:64
Lias AnderssonAGE:23PO:85OV:61
Roope HintzAGE:25PO:69OV:77
Alex TuchAGE:26PO:79OV:73
William KarlssonAGE:29PO:57OV:73
Calle JarnkrokAGE:31PO:55OV:70
Jake EvansAGE:26PO:58OV:69
Curtis LazarAGE:27PO:71OV:68
Ross ColtonAGE:26PO:57OV:68
Jaret Anderson-DolanAGE:23PO:74OV:67
Rasmus KupariAGE:22PO:82OV:66
Ryan McLeodAGE:23PO:75OV:66
Parker KellyAGE:23PO:53OV:66
Lias AnderssonAGE:23PO:85OV:61
Mitchell MarnerAGE:25PO:85OV:78
Alex TuchAGE:26PO:79OV:73
Brandon SaadAGE:29PO:59OV:71
Calle JarnkrokAGE:31PO:55OV:70
Jake EvansAGE:26PO:58OV:69
Curtis LazarAGE:27PO:71OV:68
Rasmus KupariAGE:22PO:82OV:66
Ryan McLeodAGE:23PO:75OV:66
Parker KellyAGE:23PO:53OV:66
Carl GrundstromAGE:24PO:69OV:64
Lias AnderssonAGE:23PO:85OV:61

Defense #1Defense #2Goalie
Jake MuzzinAGE:33PO:33OV:75
Ryan EllisAGE:31PO:68OV:74
Neal PionkAGE:27PO:37OV:73
Matt RoyAGE:27PO:57OV:72
Mattias SamuelssonAGE:22PO:78OV:71
Jacob BrysonAGE:24PO:59OV:68
Markus NiemelainenAGE:24PO:68OV:66
Alec RegulaAGE:22PO:67OV:66
Olli JuoleviAGE:24PO:84OV:64
Lucas JohansenAGE:24PO:77OV:64
Frederik AndersenAGE:32PO:52OV:89
Martin JonesAGE:32PO:53OV:83
Spencer KnightAGE:21PO:85OV:78
Nico DawsAGE:21PO:65OV: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
Brody LambFlorida PanthersLink
John LudvigFlorida PanthersLink
Louis CrevierFlorida PanthersLink
Lukas ParikFlorida PanthersLink
zachary BolducFlorida PanthersLink

Draft Picks

Year R1R2R3R4R5
2
3
4
5
6



BONNE PRÉ-SAISON!!!

By Mo Beaudoin (Toronto Maple Leafs) On Thursday 15th September 2022 / 12:08pm

BONNE PRÉ-SAISON A TOUS!!!!!

View comments (2)
Stéphane Guillemette (Florida Panthers) On 15th September / 6:07pm :

Les Panthers entendent bien s'établir comme prétendants à chaque saison !

Bon camp à vous tous et longue vie à LLHU !

Camil (Montreal Canadiens) On 2nd October / 10:51pm :

Bonne Pré-saison à tous. :)

 

New Comment



[2022-09-16 21:45:00] - Team Name Change : Floride Panthers changed name to Florida Panthers
[2022-09-15 15:27:34] - Tanner Pearson has been selected as assistant for Floride Panthers.
[2022-09-15 15:27:34] - Unknown Player is no longer as assistant for Floride Panthers.
[2022-09-15 15:27:34] - Mitchell Marner has been selected as assistant for Floride Panthers.
[2022-09-15 15:27:34] - Unknown Player is no longer as assistant for Floride Panthers.
[2022-09-15 15:27:34] - Ryan Ellis has been selected as captain for Floride Panthers.
[2022-09-15 15:27:34] - Unknown Player is no longer captain for Floride Panthers.
[2022-09-11 08:38:51] - Team Name Change : Panthers changed name to Floride Panthers
[2022-09-10 04:53:36] - Brody Lamb has been added to Panthers.
[2022-09-05 12:17:55] - John Ludvig has been added to Panthers.
[2022-09-03 10:14:46] - Checkers hired Kevin McCarthy for 100 000 $ for 1 year(s).
[2022-09-03 10:14:45] - Checkers fired John McCarthy.
[2022-09-03 07:52:07] - Checkers hired John McCarthy for 100 000 $ for 1 year(s).
[2022-08-31 13:53:09] - Panthers hired Dean Evason for 100 000 $ for 1 year(s).
[2022-08-28 11:07:39] - Nico Daws has been deleted from Panthers.
[2022-08-28 11:06:46] - Lukas Parik has been added to Panthers.
[2022-08-28 11:06:26] - Lukas Parik was released by Panthers
[2022-08-26 18:16:59] - Louis Crevier has been added to Panthers.
[2022-08-24 12:38:04] - Lukas Parik was picked by Panthers as the 1030 overall pick in the fantasy draft.
[2022-08-24 12:38:04] - Lukas Parik was added to Panthers.
[2022-08-24 05:03:54] - Lias Andersson was picked by Panthers as the 1019 overall pick in the fantasy draft.
[2022-08-24 05:03:54] - Lias Andersson was added to Panthers.
[2022-08-23 06:49:18] - Markus Niemelainen was picked by Panthers as the 967 overall pick in the fantasy draft.
[2022-08-23 06:49:18] - Markus Niemelainen was added to Panthers.
[2022-08-23 05:59:21] - Alec Regula was picked by Panthers as the 955 overall pick in the fantasy draft.
[2022-08-23 05:59:21] - Alec Regula was added to Panthers.
[2022-08-20 20:56:14] - Lucas Johansen was picked by Panthers as the 903 overall pick in the fantasy draft.
[2022-08-20 20:56:14] - Lucas Johansen was added to Panthers.
[2022-08-20 19:42:48] - Carl Grundstrom was picked by Panthers as the 887 overall pick in the fantasy draft.
[2022-08-20 19:42:48] - Carl Grundstrom was added to Panthers.
[2022-08-19 18:52:25] - Olli Juolevi was picked by Panthers as the 838 overall pick in the fantasy draft.
[2022-08-19 18:52:25] - Olli Juolevi was added to Panthers.



[2022-10-02 18:45:59] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-10-01 01:41:55] Successfully loaded Florida Panthers lines done with STHS Client - 3.3.4.4
[2022-10-01 01:41:52] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-26 20:24:56] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-25 23:23:53] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-24 18:59:22] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-24 18:53:14] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-23 19:07:19] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-21 19:01:23] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-20 19:44:21] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-20 18:50:23] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-19 18:57:17] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-19 18:57:17] Jaret Anderson-Dolan of Florida Panthers was sent down to farm.
[2022-09-18 19:01:45] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-18 19:01:45] Spencer Knight of Florida Panthers was sent to farm.
[2022-09-18 19:01:45] Rasmus Kupari of Florida Panthers was sent down to farm.
[2022-09-17 18:59:52] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-17 18:59:52] Spencer Knight of Florida Panthers was sent to pro.
[2022-09-17 18:59:52] Rasmus Kupari of Florida Panthers was sent to pro.
[2022-09-17 18:59:52] Alec Regula of Florida Panthers was sent down to farm.
[2022-09-17 18:57:44] Auto Roster Function has been run for Florida Panthers.
[2022-09-17 18:57:44] Spencer Knight of Florida Panthers was sent to farm.
[2022-09-17 18:57:44] Rasmus Kupari of Florida Panthers was sent to farm.
[2022-09-17 18:57:44] Alec Regula of Florida Panthers was sent to pro.
[2022-09-17 18:57:33] Auto Lines Farm Function has been run for Checkers.
[2022-09-17 18:57:33] Auto Lines Function has been run for Florida Panthers.
[2022-09-17 18:57:03] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-17 18:55:05] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.
[2022-09-17 18:53:07] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database.



No Injury or Suspension.


Florida Panthers 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

Florida Panthers Goalies Stat Leaders (Regular Season)

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

Florida Panthers 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

Florida Panthers 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

Florida Panthers Goalies Stat Leaders (Play-Off)

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