Florida Panthers

GP: 9 | W: 7 | L: 2 | OTL: 0 | P: 14
GF: 28 | GA: 18 | PP%: 11.54% | PK%: 96.15%
DG: Yannick Ferland | Morale : 57 | Moyenne d'Équipe : 70
Prochain matchs #148 vs Carolina Hurricanes
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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 BaileyXX100.005342887780829576648269587478746960710
3Nick BoninoX100.005437876877819466826768866579723860700
4Jake DeBruskXX100.006837867472818273547276677565678360690
5Artem AnisimovXXX100.005436887086819168766972736779725560690
6Ondrej PalatX100.008138887472777873527766717275694160690
7Kyle OkposoX100.007345787278848370627169637279736860690
8Cal ClutterbuckX100.009241746776788665536663766180744060680
9Evan RodriguesXXX100.005643856867818766777364726571674360670
10Ryan KeslerX100.008153686582817364836163776285764260670
11Tyler EnnisXX100.006635927362757469526668617078716460660
12Taro HiroseX100.005335946365795862536458605965636460600
13Ben LovejoyX100.007945806278828459306658845185752560710
14Kevan MillerX100.008458666181835359307358864980722761700
15Troy StecherX100.007839806768859166307357765469654260700
16Luke SchennX100.009849775985786258306453734878706560680
17Haydn FleuryX100.007638896685776264306753685265638660660
18Matt GrzelcykX100.006350726865857966307362655469656161660
Rayé
1Par LindholmXX100.006638865971697858756652815575683641630
MOYENNE D'ÉQUIPE100.00714282687680796655706373627670525968
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 Lehner100.00939189959291939291939275816160880
2Keith Kinkaid100.00868785828584868584868578843960830
Rayé
MOYENNE D'ÉQUIPE100.0090898789898890898890897783506086
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'ÉquipePOS 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
1Carl SoderbergFlorida PanthersC947117001437487208.33%421323.720118240001301053.94%31700001.0300000111
2Nick BoninoFlorida PanthersC94485001171461728.57%311612.97101321000001157.93%14500001.3700000101
3Ondrej PalatFlorida PanthersLW9437710021131762023.53%120522.861012240001241050.00%1800000.6800000011
4Cal ClutterbuckFlorida PanthersRW92575202151851211.11%39810.9400001000001025.00%800001.4200000021
5Josh BaileyFlorida PanthersLW/RW9246600411255228.00%019321.500112240000130136.36%3300000.6200000011
6Kevan MillerFlorida PanthersD9246413523101141018.18%1822224.69000525000023100.00%000100.5400001000
7Jake DeBruskFlorida PanthersLW/RW9325-2201810408187.50%216518.370226200000161028.57%1400000.6000000011
8Troy StecherFlorida PanthersD914552011712878.33%1222424.90000625000025000.00%000000.4500000100
9Matt GrzelcykFlorida PanthersD914525511650220.00%712914.350000000000000.00%000000.7700001010
10Evan RodriguesFlorida PanthersC/LW/RW913450019131127.69%110812.05000100000101050.00%1000000.7400000010
11Haydn FleuryFlorida PanthersD9044200396470.00%1218520.66011420000022000.00%000000.4300000000
12Artem AnisimovFlorida PanthersC/LW/RW9123-220216275193.70%013214.6700000000010050.00%16800000.4500000000
13Ben LovejoyFlorida PanthersD90331601795140.00%2114015.6600000000013000.00%000000.4300000000
14Luke SchennFlorida PanthersD9112220028675314.29%1817719.70101220000012000.00%000000.2300000000
15Kyle OkposoFlorida PanthersRW9022-200176241170.00%014816.48011420000000029.41%1700000.2700000000
16Taro HiroseFlorida PanthersLW9112-2000140525.00%0616.8000000000000050.00%600000.6500000001
17Ryan KeslerFlorida PanthersC9101-2408732533.33%0616.8000000000000053.62%6900000.3300000000
18Tyler EnnisFlorida PanthersLW/RW9011-200075580.00%0616.800000000000000.00%400000.3300000000
Stats d'équipe Total ou en Moyenne162285482396610200186284732089.86%102264516.333694323200021927251.42%80900100.6200002387
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 Panthers97200.9452.0053920183270000.000090400
Stats d'équipe Total ou en Moyenne97200.9452.0053920183270000.000090400


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Artem AnisimovFlorida PanthersC/LW/RW311988-05-24No198 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Ben LovejoyFlorida PanthersD351984-02-20No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Cal ClutterbuckFlorida PanthersRW311987-11-18No216 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,933,222$1,933,222$1,933,222$NoLien
Carl SoderbergFlorida PanthersC331985-10-12No210 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm3,499,963$3,499,963$3,499,963$NoLien
Evan RodriguesFlorida PanthersC/LW/RW251993-07-28No176 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Haydn FleuryFlorida PanthersD221996-07-08No208 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Jake DeBruskFlorida PanthersLW/RW221996-10-17No188 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Josh BaileyFlorida PanthersLW/RW291989-10-02No212 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Keith KinkaidFlorida PanthersG291989-07-04No195 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm3,000,000$3,000,000$3,000,000$NoLien
Kevan MillerFlorida PanthersD311987-11-15No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Kyle OkposoFlorida PanthersRW311988-04-16No219 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Luke SchennFlorida PanthersD291989-11-02No221 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Matt GrzelcykFlorida PanthersD251994-01-05No174 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Nick BoninoFlorida PanthersC311988-04-20No196 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Ondrej PalatFlorida PanthersLW281991-03-28No188 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Par LindholmFlorida PanthersC/LW271991-10-05No183 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Robin LehnerFlorida PanthersG271991-07-24No240 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Ryan KeslerFlorida PanthersC341984-08-31No206 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Taro HiroseFlorida PanthersLW231996-06-30No160 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Troy StecherFlorida PanthersD251994-04-07No186 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Tyler EnnisFlorida PanthersLW/RW291989-10-06No161 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm950,000$950,000$950,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.43198 Lbs6 ft12.101,832,533$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
38,483,185$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 DeBruskArtem AnisimovKyle Okposo30122
3Evan RodriguesNick BoninoCal Clutterbuck20122
4Tyler EnnisRyan KeslerTaro Hirose10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher40122
2Luke SchennHaydn Fleury30122
3Matt GrzelcykBen Lovejoy20122
4Kevan MillerTroy Stecher10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ondrej PalatCarl SoderbergJosh Bailey60122
2Jake DeBruskNick BoninoKyle Okposo40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher60122
2Luke SchennHaydn Fleury40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Carl SoderbergOndrej Palat60122
2Josh BaileyJake DeBrusk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher60122
2Luke SchennHaydn Fleury40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Carl Soderberg60122Kevan MillerTroy Stecher60122
2Ondrej Palat40122Luke SchennHaydn Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Carl SoderbergOndrej Palat60122
2Josh BaileyJake DeBrusk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher60122
2Luke SchennHaydn Fleury40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ondrej PalatCarl SoderbergJosh BaileyKevan MillerTroy Stecher
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ondrej PalatCarl SoderbergJosh BaileyKevan MillerTroy Stecher
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Artem Anisimov, Cal Clutterbuck, Evan RodriguesArtem Anisimov, Cal ClutterbuckEvan Rodrigues
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Grzelcyk, Ben Lovejoy, Luke SchennMatt GrzelcykBen Lovejoy, Luke Schenn
Tirs de Pénalité
Carl Soderberg, Ondrej Palat, Josh Bailey, Jake DeBrusk, Nick Bonino
Gardien
#1 : Robin Lehner, #2 : Keith Kinkaid


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
1Columbus Blue Jackets22000000734110000004131100000032141.00071421001330612117230822414537114.29%60100.00%016732551.38%18334353.35%6614146.81%473146142513
2New Jersey Devils211000006601010000013-21100000053220.5006121800222052172114080281350400.00%40100.00%016732551.38%18334353.35%6614146.81%453149132512
3New York Islanders11000000211000000000001100000021121.00023500002023561203414921100.00%20100.00%016732551.38%18334353.35%6614146.81%2013257147
4Philadelphia Flyers21100000752110000006331010000012-120.5007132000313071221435052181639500.00%8187.50%016732551.38%18334353.35%6614146.81%483345152512
Total97200000281810431000001495541000001495140.7782854820088120284917911403271026820026311.54%26196.15%016732551.38%18334353.35%6614146.81%2051392176511758
6Washington Capitals22000000633110000003211100000031241.00061218002220772621300791816379222.22%60100.00%016732551.38%18334353.35%6614146.81%432950142512
_Since Last GM Reset97200000281810431000001495541000001495140.7782854820088120284917911403271026820026311.54%26196.15%016732551.38%18334353.35%6614146.81%2051392176511758
_Vs Conference97200000281810431000001495541000001495140.7782854820088120284917911403271026820026311.54%26196.15%016732551.38%18334353.35%6614146.81%2051392176511758

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
914L12854822843271026820000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
97200002818
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4310000149
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
5410000149
Derniers 10 Matchs
WLOTWOTL SOWSOL
720000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
26311.54%26196.15%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
9179114088120
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
16732551.38%18334353.35%6614146.81%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2051392176511758


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
1 - 2019-09-024New Jersey Devils3Florida Panthers1LSommaire du Match
2 - 2019-09-0322Florida Panthers3Washington Capitals1WSommaire du Match
4 - 2019-09-0543Philadelphia Flyers3Florida Panthers6WSommaire du Match
6 - 2019-09-0749Florida Panthers3Columbus Blue Jackets2WSommaire du Match
7 - 2019-09-0869Florida Panthers2New York Islanders1WSommaire du Match
8 - 2019-09-0983Columbus Blue Jackets1Florida Panthers4WSommaire du Match
10 - 2019-09-11102Washington Capitals2Florida Panthers3WSommaire du Match
11 - 2019-09-12115Florida Panthers5New Jersey Devils3WSommaire du Match
13 - 2019-09-14131Florida Panthers1Philadelphia Flyers2LSommaire du Match
15 - 2019-09-16148Carolina Hurricanes-Florida Panthers-
16 - 2019-09-17165New York Rangers-Florida Panthers-
18 - 2019-09-19187Florida Panthers-Pittsburgh Penguins-
19 - 2019-09-20195Florida Panthers-Carolina Hurricanes-
21 - 2019-09-22212Pittsburgh Penguins-Florida Panthers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24225New York Islanders-Florida Panthers-
25 - 2019-09-26235Florida Panthers-New York Rangers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
4 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 38,483,185$ 12,639,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 57,698,430$ 57,698,430$



Charte de Profondeur

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

Défense #1Défense #2Gardien
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:70

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 Pit Flo Tor Flo
16Chi Was Flo
17Flo Flo Flo Flo Flo Flo
18Flo Flo Flo Flo Flo Flo
19Flo Flo Flo Flo Flo Flo



[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.
[2019-07-04 10:56:08] - TRADE : From New York Islanders to Florida Panthers : Y:16-RND:2-Chi.
[2019-07-04 10:55:57] - TRADE : From Florida Panthers to Boston Bruins : Tuukka Rask (88), Frank Vatrano (67), Y:15-RND:3-Bos, Y:16-RND:4-Flo.
[2019-07-04 10:55:57] - TRADE : From Boston Bruins to Florida Panthers : Robin Lehner (88), Ondrej Palat (70), Philippe Desrosiers (70).
[2019-07-02 10:43:14] - TRADE : From Pittsburgh Penguins to Florida Panthers : Artem Anisimov (69).
[2019-07-02 10:43:14] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:15-RND:2-Was.
[2019-06-25 11:11:37] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:14-RND:4-Flo.
[2019-06-22 09:13:26] - David Ullstrom was added to Florida Panthers.
[2019-06-20 15:03:26] - Taylor Raddysh was added to Florida Panthers.



[2019-08-12 16:40:22] Par Lindholm was added to Florida Panthers.
[2019-08-07 08:03:12] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-08-07 08:03:12] Taylor Raddysh of Florida Panthers was sent down to farm.
[2019-08-07 08:03:12] Tyler Wotherspoon of Florida Panthers was sent down to farm.
[2019-08-07 08:03:12] David Ullstrom of Florida Panthers was sent down to farm.
[2019-08-07 08:03:12] Andrej Sekera of Florida Panthers was sent down to farm.
[2019-08-02 11:40:56] Taro Hirose was added to Florida Panthers.
[2019-07-29 23:39:54] Auto Lines Function has been run for Florida Panthers.
[2019-07-29 23:39:50] Auto Roster Partial Function has been run for Florida Panthers.
[2019-07-29 23:39:50] Florida Panthers roster errors : Not enough Centers available in Pro Team! 1 Dressed. 3 Required. Not enough Forward available in Pro Team! 8 Dressed. 9 Required. Not enough Players available in Pro Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-29 05:26:17] Florida Panthers roster errors : Not enough Centers available in Pro Team! 1 Dressed. 3 Required. Not enough Forward available in Pro Team! 8 Dressed. 9 Required. Not enough Players available in Pro Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-28 16:46:06] TRADE : From Detroit Red Wings to Florida Panthers : Carl Soderberg (73).



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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