Florida Panthers

GP: 49 | W: 30 | L: 18 | OTL: 1 | P: 61
GF: 125 | GA: 111 | PP%: 17.20% | PK%: 86.39%
DG: Yannick Ferland | Morale : 72 | Moyenne d'Équipe : 70
Prochain matchs #794 vs Montreal Canadiens
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur 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
1Carl SoderbergX100.007438857185839569807372886984763860740
2Josh BaileyXX100.005342887780829576648269587478746962710
3Jake DeBruskXX100.006837867472818273547276677565678383700
4Artem AnisimovXXX100.005436887086819168766972736779725572700
5Ondrej PalatX100.008138887472777873527766717275694183700
6Nick BoninoX100.005437876877819466826768866579723883700
7Kyle OkposoX100.007345787278848370627169637279736879690
8Cal ClutterbuckX100.009241746776788665536663766180744067680
9Evan RodriguesXXX100.005643856867818766777364726571674383670
10Ryan KeslerX100.008153686582817364836163776285764283670
11Tyler EnnisXX100.006635927362757469526668617078716483660
12Par LindholmXX100.006638865971697858756652815575683679640
13Jay BouwmeesterX100.006640796388879162307158825386774381720
14Ben LovejoyX100.007945806278828459306658845185752583710
15Kevan MillerX100.008458666181835359307358864980722753700
16Troy StecherX100.007839806768859166307357765469654283700
17Luke SchennX100.009849775985786258306453734878706577680
18Haydn FleuryX100.007638896685776264306753685265638654660
Rayé
1Jeff CarterX100.007341817287838971837273747084754665720
2Taro HiroseX100.005335946365795862536458605965636434600
3Matt GrzelcykX100.006350726865857966307362655469656172660
MOYENNE D'ÉQUIPE100.00714282687781806655706373627771517269
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Robin Lehner100.00939189959291939291939275816178880
2Keith Kinkaid100.00868785828584868584868578843977830
Rayé
MOYENNE D'ÉQUIPE100.0090898789898890898890897783507886
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien88878583878159CAN5844,700,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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
1Carl SoderbergFlorida PanthersC46162440-116090139177421279.04%13101622.1059143413300041543153.30%139200010.7900000532
2Jake DeBruskFlorida PanthersLW/RW49161935111556854155369610.32%494119.214593115200011088239.19%7400000.7401000353
3Nick BoninoFlorida PanthersC491816341710023119136478813.24%1186817.733583415100031652150.86%87100010.7800000421
4Ondrej PalatFlorida PanthersLW49141428-342012989114338012.28%894219.2335815165000172136.00%7500010.5901000224
5Artem AnisimovFlorida PanthersC/LW/RW47101626260137294369210.64%667614.392245410001113049.51%50900000.7700000231
6Jay BouwmeesterFlorida PanthersD4661925-1175265950113512.00%5792820.18549261290000114200.00%000000.5400010000
7Jeff CarterFlorida PanthersC49151025226065113106298614.15%881716.68448251280001983057.08%93200000.6113000222
8Josh BaileyFlorida PanthersLW/RW39520251008618935765.62%477819.96156141300002441150.00%15400000.6401000122
9Kevan MillerFlorida PanthersD453202377810138664821376.25%5599822.18178271170001102100.00%000000.4600020002
10Kyle OkposoFlorida PanthersRW45715223200110468923737.87%071815.9706616124000000042.86%4200000.6100000213
11Troy StecherFlorida PanthersD496142010300676652164111.54%52122324.975712291730000159200.00%000000.3300000040
12Ben LovejoyFlorida PanthersD4931114-33408952379358.11%4986617.681016690000119100.00%000000.3200000030
13Evan RodriguesFlorida PanthersC/LW/RW49481212020555315497.55%461812.621126340000551146.72%24400000.3901000110
14Ryan KeslerFlorida PanthersC4964101160436547113612.77%54559.30000100002912055.13%46800000.4401000001
15Luke SchennFlorida PanthersD44189-1681012526238234.35%3382018.651231075000078000.00%000000.2200002001
16Par LindholmFlorida PanthersC/LW45448-322055314810298.33%547910.66000000000252156.52%2300000.3300000001
17Haydn FleuryFlorida PanthersD301673802820124128.33%3253717.93011866000183000.00%000000.2600000001
18Cal ClutterbuckFlorida PanthersRW44527-1240413337142613.51%23538.0400006000000038.71%3100000.4000000000
19Matt GrzelcykFlorida PanthersD45066-61603735193150.00%2870615.71011115000160000.00%000000.1700000000
20Tyler EnnisFlorida PanthersLW/RW49055000228527320.00%03617.3800000000000030.00%2000000.2800000000
21Taro HiroseFlorida PanthersLW25011-102054137110.00%029411.77000228000000039.71%6800000.0700000000
Stats d'équipe Total ou en Moyenne942140242382294523011821233145141710999.65%3761540416.353664100290174500018148033852.01%490300030.5018032222824
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Robin LehnerFlorida Panthers32201010.9202.23185743698610100.80053118332
2Keith KinkaidFlorida Panthers1910800.9092.24110002414500000.00001831320
Stats d'équipe Total ou en Moyenne51301810.9162.2329574511013110100.80054949652


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Artem AnisimovFlorida PanthersC/LW/RW311988-05-24No198 Lbs6 ft4NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Ben LovejoyFlorida PanthersD351984-02-20No205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$363,636$NoLien
Cal ClutterbuckFlorida PanthersRW311987-11-18No216 Lbs5 ft11NoNoNo1Pro & Farm1,933,222$1,933,222$702,990$NoLien
Carl SoderbergFlorida PanthersC331985-10-12No210 Lbs6 ft3NoNoNo4Pro & Farm3,499,963$3,499,963$1,272,714$No3,499,963$3,499,963$3,499,963$Lien
Evan RodriguesFlorida PanthersC/LW/RW251993-07-28No176 Lbs5 ft10NoNoNo1Pro & Farm300,000$300,000$109,091$NoLien
Haydn FleuryFlorida PanthersD221996-07-08No208 Lbs6 ft3NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Jake DeBruskFlorida PanthersLW/RW221996-10-17No188 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Jay BouwmeesterFlorida PanthersD351983-09-27No206 Lbs6 ft4NoNoNo1Pro & Farm1,920,000$1,920,000$698,182$NoLien
Jeff CarterFlorida PanthersC341985-01-01No219 Lbs6 ft3NoNoNo1Pro & Farm5,000,000$5,000,000$1,818,182$NoLien
Josh BaileyFlorida PanthersLW/RW291989-10-02No212 Lbs6 ft1NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Keith KinkaidFlorida PanthersG291989-07-04No195 Lbs6 ft3NoNoNo2Pro & Farm3,000,000$3,000,000$1,090,909$No3,000,000$Lien
Kevan MillerFlorida PanthersD311987-11-15No210 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$Lien
Kyle OkposoFlorida PanthersRW311988-04-16No219 Lbs6 ft0NoNoNo2Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$Lien
Luke SchennFlorida PanthersD291989-11-02No221 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$363,636$NoLien
Matt GrzelcykFlorida PanthersD251994-01-05No174 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Nick BoninoFlorida PanthersC311988-04-20No196 Lbs6 ft1NoNoNo3Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$2,500,000$Lien
Ondrej PalatFlorida PanthersLW281991-03-28No188 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Par LindholmFlorida PanthersC/LW271991-10-05No183 Lbs6 ft0NoNoNo4Pro & Farm300,000$300,000$109,091$No300,000$300,000$300,000$Lien
Robin LehnerFlorida PanthersG271991-07-24No240 Lbs6 ft4NoNoNo1Pro & Farm2,500,000$2,500,000$909,091$NoLien
Ryan KeslerFlorida PanthersC341984-08-31No206 Lbs6 ft2NoNoNo4Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$1,000,000$1,000,000$Lien
Taro HiroseFlorida PanthersLW231996-06-30No160 Lbs5 ft10NoNoNo4Pro & Farm300,000$300,000$109,091$No300,000$300,000$300,000$Lien
Troy StecherFlorida PanthersD251994-04-07No186 Lbs5 ft10NoNoNo2Pro & Farm900,000$900,000$327,273$No900,000$Lien
Tyler EnnisFlorida PanthersLW/RW291989-10-06No161 Lbs5 ft9NoNoNo1Pro & Farm950,000$950,000$345,455$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2328.96199 Lbs6 ft12.001,974,052$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
45,403,185$28,299,963$7,599,963$5,099,963$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ondrej PalatCarl SoderbergJosh Bailey40122
2Jake DeBruskNick BoninoArtem Anisimov30122
3Par LindholmEvan RodriguesKyle Okposo20122
4Tyler EnnisRyan KeslerCal Clutterbuck10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher40122
2Luke SchennJay Bouwmeester30122
3Haydn FleuryBen Lovejoy20122
4Jay BouwmeesterTroy Stecher10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ondrej PalatCarl SoderbergJosh Bailey60122
2Jake DeBruskNick BoninoArtem Anisimov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay BouwmeesterTroy Stecher60122
2Kevan MillerBen Lovejoy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Carl SoderbergNick Bonino60122
2Ryan KeslerJake DeBrusk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay BouwmeesterTroy Stecher60122
2Kevan MillerBen Lovejoy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Carl Soderberg60122Kevan MillerTroy Stecher60122
2Nick Bonino40122Jay BouwmeesterBen Lovejoy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick BoninoOndrej Palat60122
2Carl SoderbergJake DeBrusk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben LovejoyTroy Stecher60122
2Kevan MillerJay Bouwmeester40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ondrej PalatCarl SoderbergJosh BaileyJay BouwmeesterTroy Stecher
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Cal ClutterbuckNick BoninoCarl SoderbergKevan MillerJay Bouwmeester
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Carl Soderberg, Jake DeBrusk, Evan RodriguesCarl Soderberg, Jake DeBruskEvan Rodrigues
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Troy Stecher, Ben Lovejoy, Jay BouwmeesterTroy StecherBen Lovejoy, Jay Bouwmeester
Tirs de Pénalité
Jake DeBrusk, Carl Soderberg, Ondrej Palat, Josh Bailey, Evan Rodrigues
Gardien
#1 : Keith Kinkaid, #2 : Robin Lehner


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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 Ducks11000000211110000002110000000000021.000246000110237880431210237228.57%50100.00%0811161050.37%857164252.19%35069550.36%2316247115
2Boston Bruins22000000532110000003211100000021141.000591400122061261718048198529222.22%4175.00%0811161050.37%857164252.19%35069550.36%493445142512
3Buffalo Sabres3110100089-1100010005412110000035-240.66781523015201104363037110728346710330.00%17476.47%0811161050.37%857164252.19%35069550.36%715073203718
4Calgary Flames11000000202000000000001100000020221.000246011010248106026121429200.00%70100.00%0811161050.37%857164252.19%35069550.36%1811287136
5Carolina Hurricanes32100000862110000004222110000044040.667816240143108234192906227246917211.76%90100.00%0811161050.37%857164252.19%35069550.36%735169213619
6Chicago Blackhawks11000000615000000000001100000061521.000610160023104012199038817263133.33%5180.00%0811161050.37%857164252.19%35069550.36%2517236105
7Colorado Avalanche2020000058-31010000023-11010000035-200.00059140030204916141906382645700.00%13469.23%0811161050.37%857164252.19%35069550.36%463247152511
8Columbus Blue Jackets21001000752100010003211100000043141.000713200013214615111914771037700.00%5180.00%0811161050.37%857164252.19%35069550.36%493445152613
9Dallas Stars1010000024-21010000024-20000000000000.0002460010109126025781811100.00%4175.00%0811161050.37%857164252.19%35069550.36%1912258146
10Detroit Red Wings320010001459210010008261100000063361.00014233700535111535314635915306512325.00%9188.89%0811161050.37%857164252.19%35069550.36%785564213819
11Edmonton Oilers1010000012-1000000000001010000012-100.0001230000102156100263430000.00%20100.00%0811161050.37%857164252.19%35069550.36%2215256126
12Los Angeles Kings11000000312110000003120000000000021.000358001020271041302694184125.00%20100.00%0811161050.37%857164252.19%35069550.36%2517217126
13Minnesota Wild21001000633110000002021000100043141.00061218012211441613141531121408112.50%90100.00%0811161050.37%857164252.19%35069550.36%483148162613
14Montreal Canadiens10001000431100010004310000000000021.00048120021012898924078383133.33%4250.00%0811161050.37%857164252.19%35069550.36%2214257137
15Nashville Predators2010100058-3100010003211010000026-420.50059140010315610232213714145010220.00%7442.86%0811161050.37%857164252.19%35069550.36%513643142512
16New Jersey Devils1010000003-3000000000001010000003-300.00000000000029121070188418300.00%20100.00%0811161050.37%857164252.19%35069550.36%2316237126
17New York Islanders31101000972100010003212110000065140.66791625002421742920223761329519222.22%11372.73%0811161050.37%857164252.19%35069550.36%674676243817
18New York Rangers2010000125-31000000112-11010000013-210.250235000020441810147451515498112.50%50100.00%0811161050.37%857164252.19%35069550.36%473149162814
19Ottawa Senators22000000826110000004221100000040441.0008162401242069162825050716436116.67%80100.00%0811161050.37%857164252.19%35069550.36%503544142513
20Philadelphia Flyers11000000211110000002110000000000021.00024600011030715802756207228.57%30100.00%0811161050.37%857164252.19%35069550.36%2721206126
21Phoenix Coyotes1010000014-31010000014-30000000000000.000123001000279990258431300.00%20100.00%0811161050.37%857164252.19%35069550.36%2315237136
22Pittsburgh Penguins22000000743110000004221100000032141.000712190024106722321306019264611436.36%11281.82%0811161050.37%857164252.19%35069550.36%432850152512
23San Jose Sharks11000000211110000002110000000000021.0002460020003012126020108296116.67%40100.00%0811161050.37%857164252.19%35069550.36%2315238136
24Tampa Bay Lightning41300000660211000006422020000002-220.250611170023101104138310974134911500.00%17194.12%0811161050.37%857164252.19%35069550.36%946493315126
25Toronto Maple Leafs1010000014-31010000014-30000000000000.00012300100027912603181028500.00%50100.00%0811161050.37%857164252.19%35069550.36%2012278125
Total49221808001125111142611806001686082311100200057516610.622125229354054539338134044543344720131135642811111863217.20%1912686.39%0811161050.37%857164252.19%35069550.36%11587951172369630312
27Vancouver Canucks2010100045-11010000024-21000100021120.5004711002101491716151701220453133.33%100100.00%0811161050.37%857164252.19%35069550.36%452950152712
28Washington Capitals2110000056-11010000014-31100000042220.5005914002210431013200581814337114.29%60100.00%0811161050.37%857164252.19%35069550.36%453149142411
29Winnipeg Jets1010000004-41010000004-40000000000000.0000000000001233603451020300.00%5180.00%0811161050.37%857164252.19%35069550.36%2012278125
_Since Last GM Reset49221808001125111142611806001686082311100200057516610.622125229354054539338134044543344720131135642811111863217.20%1912686.39%0811161050.37%857164252.19%35069550.36%11587951172369630312
_Vs Conference3216100500186691716730500149361316970000037334430.67286157243032932205929319294304178252372687071292217.05%1161587.07%0811161050.37%857164252.19%35069550.36%764529759239410206
_Vs Division168503000463214942030003121107430000015114220.68846841300218151035141721641726432125140384601016.67%64985.94%0811161050.37%857164252.19%35069550.36%386267374117205102

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4961W112522935413401311356428111105
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4922188001125111
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2611860016860
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
23111020005751
Derniers 10 Matchs
WLOTWOTL SOWSOL
541000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1863217.20%1912686.39%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
445433447204539338
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
811161050.37%857164252.19%35069550.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11587951172369630312


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-09-035Florida Panthers0Tampa Bay Lightning1LSommaire du Match
4 - 2019-09-0521Tampa Bay Lightning2Florida Panthers6WSommaire du Match
7 - 2019-09-0836Carolina Hurricanes2Florida Panthers4WSommaire du Match
10 - 2019-09-1158Florida Panthers1Buffalo Sabres0WSommaire du Match
11 - 2019-09-1268Florida Panthers2New York Islanders3LSommaire du Match
13 - 2019-09-1480Florida Panthers0New Jersey Devils3LSommaire du Match
17 - 2019-09-18107Colorado Avalanche3Florida Panthers2LSommaire du Match
18 - 2019-09-19121Florida Panthers2Nashville Predators6LSommaire du Match
21 - 2019-09-22135Pittsburgh Penguins2Florida Panthers4WSommaire du Match
23 - 2019-09-24153Florida Panthers2Calgary Flames0WSommaire du Match
26 - 2019-09-27170Florida Panthers1Edmonton Oilers2LSommaire du Match
27 - 2019-09-28178Florida Panthers2Vancouver Canucks1WXSommaire du Match
29 - 2019-09-30192Florida Panthers3Colorado Avalanche5LSommaire du Match
32 - 2019-10-03209Detroit Red Wings1Florida Panthers6WSommaire du Match
37 - 2019-10-08238Washington Capitals4Florida Panthers1LSommaire du Match
39 - 2019-10-10252Florida Panthers4New York Islanders2WSommaire du Match
40 - 2019-10-11263Florida Panthers1New York Rangers3LSommaire du Match
42 - 2019-10-13272Florida Panthers2Boston Bruins1WSommaire du Match
44 - 2019-10-15288Winnipeg Jets4Florida Panthers0LSommaire du Match
46 - 2019-10-17306New York Rangers2Florida Panthers1LXXSommaire du Match
49 - 2019-10-20319Philadelphia Flyers1Florida Panthers2WSommaire du Match
51 - 2019-10-22334Anaheim Ducks1Florida Panthers2WSommaire du Match
53 - 2019-10-24357Florida Panthers0Carolina Hurricanes4LSommaire du Match
54 - 2019-10-25362Buffalo Sabres4Florida Panthers5WXSommaire du Match
57 - 2019-10-28383Florida Panthers4Washington Capitals2WSommaire du Match
60 - 2019-10-31409Nashville Predators2Florida Panthers3WXSommaire du Match
63 - 2019-11-03426Minnesota Wild0Florida Panthers2WSommaire du Match
67 - 2019-11-07458Columbus Blue Jackets2Florida Panthers3WXSommaire du Match
68 - 2019-11-08464San Jose Sharks1Florida Panthers2WSommaire du Match
70 - 2019-11-10473Tampa Bay Lightning2Florida Panthers0LSommaire du Match
72 - 2019-11-12489New York Islanders2Florida Panthers3WXSommaire du Match
74 - 2019-11-14510Boston Bruins2Florida Panthers3WSommaire du Match
76 - 2019-11-16519Ottawa Senators2Florida Panthers4WSommaire du Match
80 - 2019-11-20548Dallas Stars4Florida Panthers2LSommaire du Match
81 - 2019-11-21560Florida Panthers4Carolina Hurricanes0WSommaire du Match
83 - 2019-11-23572Florida Panthers0Tampa Bay Lightning1LSommaire du Match
88 - 2019-11-28596Detroit Red Wings1Florida Panthers2WXSommaire du Match
89 - 2019-11-29608Montreal Canadiens3Florida Panthers4WXSommaire du Match
91 - 2019-12-01619Florida Panthers4Columbus Blue Jackets3WSommaire du Match
93 - 2019-12-03632Florida Panthers4Ottawa Senators0WSommaire du Match
95 - 2019-12-05645Florida Panthers2Buffalo Sabres5LSommaire du Match
96 - 2019-12-06654Florida Panthers3Pittsburgh Penguins2WSommaire du Match
98 - 2019-12-08664Phoenix Coyotes4Florida Panthers1LSommaire du Match
100 - 2019-12-10681Vancouver Canucks4Florida Panthers2LSommaire du Match
103 - 2019-12-13707Toronto Maple Leafs4Florida Panthers1LSommaire du Match
107 - 2019-12-17729Los Angeles Kings1Florida Panthers3WSommaire du Match
109 - 2019-12-19749Florida Panthers6Detroit Red Wings3WSommaire du Match
111 - 2019-12-21760Florida Panthers4Minnesota Wild3WXSommaire du Match
112 - 2019-12-22765Florida Panthers6Chicago Blackhawks1WSommaire du Match
123 - 2020-01-02794Florida Panthers-Montreal Canadiens-
125 - 2020-01-04809Florida Panthers-Toronto Maple Leafs-
126 - 2020-01-05818Florida Panthers-Columbus Blue Jackets-
128 - 2020-01-07830Vegas Golden Knights-Florida Panthers-
130 - 2020-01-09848Pittsburgh Penguins-Florida Panthers-
132 - 2020-01-11861Florida Panthers-Philadelphia Flyers-
133 - 2020-01-12868Florida Panthers-New Jersey Devils-
135 - 2020-01-14883Philadelphia Flyers-Florida Panthers-
137 - 2020-01-16898Edmonton Oilers-Florida Panthers-
139 - 2020-01-18915Florida Panthers-San Jose Sharks-
141 - 2020-01-20930Florida Panthers-Anaheim Ducks-
142 - 2020-01-21940Florida Panthers-Los Angeles Kings-
144 - 2020-01-23957Florida Panthers-Vegas Golden Knights-
147 - 2020-01-26979Florida Panthers-Phoenix Coyotes-
149 - 2020-01-28987Toronto Maple Leafs-Florida Panthers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301002Chicago Blackhawks-Florida Panthers-
152 - 2020-01-311012Calgary Flames-Florida Panthers-
156 - 2020-02-041035Boston Bruins-Florida Panthers-
158 - 2020-02-061055Montreal Canadiens-Florida Panthers-
161 - 2020-02-091075Florida Panthers-St. Louis Blues-
163 - 2020-02-111090Florida Panthers-Dallas Stars-
165 - 2020-02-131102New Jersey Devils-Florida Panthers-
167 - 2020-02-151121Florida Panthers-Detroit Red Wings-
168 - 2020-02-161128Florida Panthers-Winnipeg Jets-
170 - 2020-02-181138Buffalo Sabres-Florida Panthers-
172 - 2020-02-201156St. Louis Blues-Florida Panthers-
174 - 2020-02-221170Florida Panthers-Toronto Maple Leafs-
175 - 2020-02-231182Florida Panthers-Ottawa Senators-
177 - 2020-02-251192Florida Panthers-Montreal Canadiens-
179 - 2020-02-271207Florida Panthers-Boston Bruins-
181 - 2020-02-291225New York Rangers-Florida Panthers-
184 - 2020-03-031243Ottawa Senators-Florida Panthers-
186 - 2020-03-051265Washington Capitals-Florida Panthers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance149,258123,61149,19499,84124,977
Attendance PCT95.68%95.09%94.60%96.00%96.07%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
15 17188 - 95.49% 609,185$15,838,802$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
27,666,260$ 45,403,185$ 17,639,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
45,403,185$ 24,619,172$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
9,137,770$ 68 267,931$ 18,219,308$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
18,642,158$ 45,403,185$ 45,199,988$ 35,695,600$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Josh BaileyAGE:29PO:69OV:71
Jake DeBruskAGE:22PO:83OV:70
Artem AnisimovAGE:31PO:55OV:70
Ondrej PalatAGE:28PO:41OV:70
Evan RodriguesAGE:25PO:43OV:67
Tyler EnnisAGE:29PO:64OV:66
Par LindholmAGE:27PO:36OV:64
Alexander NylanderAGE:21PO:87OV:61
Taro HiroseAGE:23PO:64OV:60
Carl SoderbergAGE:33PO:38OV:74
Jeff CarterAGE:34PO:46OV:72
Artem AnisimovAGE:31PO:55OV:70
Nick BoninoAGE:31PO:38OV:70
Evan RodriguesAGE:25PO:43OV:67
Ryan KeslerAGE:34PO:42OV:67
Par LindholmAGE:27PO:36OV:64
Mason AppletonAGE:23PO:56OV:63
David UllstromAGE:30PO:55OV:62
Alexander NylanderAGE:21PO:87OV:61
Trevor SmithAGE:34PO:51OV:61
Josh BaileyAGE:29PO:69OV:71
Jake DeBruskAGE:22PO:83OV:70
Artem AnisimovAGE:31PO:55OV:70
Kyle OkposoAGE:31PO:68OV:69
Cal ClutterbuckAGE:31PO:40OV:68
Evan RodriguesAGE:25PO:43OV:67
Tyler EnnisAGE:29PO:64OV:66
*Taylor RaddyshAGE:21PO:77OV:63
Alexander NylanderAGE:21PO:87OV:61
Jens LookeAGE:22PO:66OV:58
Anthony PelusoAGE:30PO:47OV:58

Défense #1Défense #2Gardien
Jay BouwmeesterAGE:35PO:43OV:72
Ben LovejoyAGE:35PO:25OV:71
Troy StecherAGE:25PO:42OV:70
Kevan MillerAGE:31PO:27OV:70
Luke SchennAGE:29PO:65OV:68
Haydn FleuryAGE:22PO:86OV:66
Matt GrzelcykAGE:25PO:61OV:66
Tyler WotherspoonAGE:26PO:61OV:63
Andrej SekeraAGE:33PO:46OV:62
Robin LehnerAGE:27PO:61OV:88
Keith KinkaidAGE:29PO:39OV:83
Zane McIntyreAGE:26PO:46OV:74
Philippe DesrosiersAGE:23PO:52OV:71

Éspoirs

Astuces sur les Filtres (Anglais seulement)
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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam CarlsonFlorida Panthers
Adam ChapieFlorida Panthers
Alex GudbransonFlorida Panthers
Andrew BodnarchukFlorida Panthers
Curtis HallFlorida Panthers
Evgeny SvechnikovFlorida Panthers
Jannik HansenFlorida Panthers
John MitchellFlorida Panthers
Joren Van PottelbergheFlorida Panthers11151
Mark ZengerleFlorida Panthers
Markus RuusuFlorida Panthers11153
Reid PetrykFlorida Panthers
Scott HartnellFlorida Panthers
Veeti VainioFlorida Panthers11137
Zbynek MichalekFlorida Panthers

Choix au Repêchage

Année R1R2R3R4R5R6
15Bos Flo Flo
16Was Flo
17Flo Flo Flo Flo
18Flo Flo Flo Flo Flo Flo
19Flo Flo Flo Flo Flo Flo



[2020-01-23 15:25:39] - TRADE : From Florida Panthers to Nashville Predators : Y:16-RND:2-Chi, Y:17-RND:3-Flo, Y:17-RND:6-Flo.
[2020-01-23 15:25:39] - TRADE : From Nashville Predators to Florida Panthers : Jeff Carter (72).
[2019-11-03 10:21:34] - TRADE : From Florida Panthers to New York Rangers : Y:15-RND:3-Pit.
[2019-11-03 10:21:34] - TRADE : From New York Rangers to Florida Panthers : Y:15-RND:3-Flo.
[2019-11-03 10:20:34] - TRADE : From Florida Panthers to New York Rangers : Y:15-RND:3-Flo, Y:15-RND:4-Flo, Y:15-RND:6-Tor.
[2019-11-03 10:20:34] - TRADE : From New York Rangers to Florida Panthers : Jay Bouwmeester (72).
[2019-08-12 16:40:22] - Par Lindholm was added to Florida Panthers.
[2019-08-02 11:40:56] - Taro Hirose was added to Florida Panthers.
[2019-07-28 16:46:06] - TRADE : From Detroit Red Wings to Florida Panthers : Carl Soderberg (73).
[2019-07-28 16:40:57] - TRADE : From Florida Panthers to Phoenix Coyotes : Zach Trotman (63).
[2019-07-28 16:40:48] - TRADE : From Florida Panthers to Phoenix Coyotes : Eric Tangradi (61).
[2019-07-28 16:40:40] - TRADE : From Florida Panthers to Phoenix Coyotes : Chris Casto (62).
[2019-07-28 16:40:10] - TRADE : From Florida Panthers to Phoenix Coyotes : Brendan Woods (60).
[2019-07-28 16:39:37] - TRADE : From Florida Panthers to Phoenix Coyotes : Jamie Devane (59).
[2019-07-28 16:39:30] - TRADE : From Florida Panthers to Phoenix Coyotes : Ben Holmstrom (58).
[2019-07-26 09:03:07] - Curtis Hall has been added to Florida Panthers.
[2019-07-19 09:07:05] - Nicholas Abruzzese has been deleted from Florida Panthers.
[2019-07-17 08:59:29] - Florida Panthers drafts Nicholas Abruzzese as the #158 overall pick in the Entry Draft of year 14.



[2020-01-27 20:59:32] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-27 20:59:32] Philippe Desrosiers of Florida Panthers was sent to farm.
[2020-01-23 15:25:39] TRADE : From Florida Panthers to Nashville Predators : Y:16-RND:2-Chi, Y:17-RND:3-Flo, Y:17-RND:6-Flo.
[2020-01-23 15:25:39] TRADE : From Nashville Predators to Florida Panthers : Jeff Carter (72).
[2020-01-22 15:00:33] Robin Lehner from Florida Panthers is back from Exhaustion.
[2020-01-22 15:00:03] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-22 15:00:03] Philippe Desrosiers of Florida Panthers was sent to pro.
[2020-01-21 07:52:49] Last 7 Days Pro Star : 1 - Artem Anisimov of Florida Panthers (3-6-9) / 2 - Nick Bonino of Florida Panthers (4-3-7) / 3 - Jake DeBrusk of Florida Panthers (2-5-7)
[2020-01-21 07:52:49] Robin Lehner from Florida Panthers injured (Exhaustion)
[2020-01-21 07:52:49] Nick Bonino from Florida Panthers has scored a Hat Trick!
[2020-01-20 07:41:43] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-13 05:09:26] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-11 10:09:02] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-08 09:32:55] Josh Bailey from Florida Panthers is back from Bruised Left Arm Injury.
[2020-01-08 09:30:59] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-07 08:26:16] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-01-05 05:11:51] Game 654 - Josh Bailey from Florida Panthers is injured (Bruised Left Arm) and is out for 1 week.
[2020-01-03 05:43:45] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2019-12-30 14:00:41] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-12-29 07:33:41] Josh Bailey from Florida Panthers completes suspension
[2019-12-27 07:38:01] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-12-17 08:53:32] Josh Bailey from Florida Panthers suspended for 5 game(s)
[2019-12-17 08:49:16] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-12-16 15:57:24] Artem Anisimov from Florida Panthers is back from Bruised Left Foot Injury.
[2019-12-16 15:53:49] Auto Lines Partial Function has been run for Florida Panthers.
[2019-12-16 15:53:49] Auto Roster Partial Function has been run for Florida Panthers.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année 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
144922180800112511114261180600168608231110020005751661125229354054539338134044543344720131135642811111863217.20%1912686.39%0811161050.37%857164252.19%35069550.36%11587951172369630312
Total Saison Régulière4922180800112511114261180600168608231110020005751661125229354054539338134044543344720131135642811111863217.20%1912686.39%0811161050.37%857164252.19%35069550.36%11587951172369630312