Florida Panthers

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 15 | GA: 14 | PP%: 8.00% | PK%: 86.67%
DG: Yannick Ferland | Morale : 49 | Moyenne d'Équipe : 70
Prochain matchs #121 vs Nashville Predators
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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 SoderbergX99.007438857185839569807372886984763850740
2Josh BaileyXX100.005342887780829576648269587478746950710
3Artem AnisimovXXX100.005436887086819168766972736779725550700
4Ondrej PalatX99.008138887472777873527766717275694150700
5Nick BoninoX100.005437876877819466826768866579723850700
6Jake DeBruskXX100.006837867472818273547276677565678350690
7Cal ClutterbuckX100.009241746776788665536663766180744050680
8Evan RodriguesXXX100.005643856867818766777364726571674350670
9Ryan KeslerX100.008153686582817364836163776285764250670
10Tyler EnnisXX100.006635927362757469526668617078716450660
11Par LindholmXX100.006638865971697858756652815575683651640
12Taro HiroseX100.005335946365795862536458605965636446600
13Ben LovejoyX100.007945806278828459306658845185752550710
14Kevan MillerX100.008458666181835359307358864980722750700
15Troy StecherX100.007839806768859166307357765469654250700
16Luke SchennX100.009849775985786258306453734878706550680
17Haydn FleuryX100.007638896685776264306753685265638650660
18Matt GrzelcykX100.006350726865857966307362655469656150660
Rayé
1Kyle OkposoX91.387345787278848370627169637279736844690
MOYENNE D'ÉQUIPE99.42714282687680796655706373627670525068
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 Lehner98.00939189959291939291939275816150880
2Keith Kinkaid100.00868785828584868584868578843950820
Rayé
MOYENNE D'ÉQUIPE99.0090898789898890898890897783505085
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
1Ondrej PalatFlorida PanthersLW76174601811214828.57%214220.37101122000172044.44%900010.9800000101
2Carl SoderbergFlorida PanthersC7145440921327283.12%116623.820005220002290051.48%23700000.6000000001
3Josh BaileyFlorida PanthersLW/RW7145300212229124.55%113519.41000122000030058.82%1700000.7400000000
4Kevan MillerFlorida PanthersD7055516020108350.00%1216623.75022422000019000.00%000000.6000000000
5Nick BoninoFlorida PanthersC7224200218159713.33%28712.55101420000000062.89%9700000.9100000100
6Evan RodriguesFlorida PanthersC/LW/RW71233002911189.09%17510.7900010000061056.25%1600000.7900000010
7Troy StecherFlorida PanthersD70336409106380.00%617324.74022322000025000.00%000000.3500000000
8Artem AnisimovFlorida PanthersC/LW/RW7022-300113114130.00%19814.0400000000020051.33%11300000.4100000000
9Ben LovejoyFlorida PanthersD7112-24014930533.33%311015.7900011000011000.00%000000.3600000010
10Jake DeBruskFlorida PanthersLW/RW7011-440810236130.00%113218.930003200000170027.27%1100000.1500000000
11Ryan KeslerFlorida PanthersC7011060492030.00%2598.50000000000110043.08%6500000.3400000000
12Haydn FleuryFlorida PanthersD7101-1002770314.29%914420.66000519000122000.00%000000.1400000001
13Matt GrzelcykFlorida PanthersD7011-160653030.00%310114.520000100001000.00%000000.2000000000
14Luke SchennFlorida PanthersD7011-1801653250.00%414320.49000219000021000.00%000000.1400000000
15Cal ClutterbuckFlorida PanthersRW71010406651520.00%0568.0100001000000075.00%400000.3600000000
16Kyle OkposoFlorida PanthersRW410102012363216.67%05914.95000112000000050.00%200000.3300000000
17Par LindholmFlorida PanthersC/LW60112001157340.00%18113.62000000000230050.00%600000.2400000000
18Taro HiroseFlorida PanthersLW4000-400002120.00%05714.440000800000000.00%300000.0000000000
19Tyler EnnisFlorida PanthersLW/RW7000000128130.00%0476.7900000000000050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne12615294413640143165195571377.69%49204116.202463122000042033052.06%58200010.4300000223
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 Panthers53200.9461.612980181470000.000052110
2Keith KinkaidFlorida Panthers20200.8383.03119006370000.000025000
Stats d'équipe Total ou en Moyenne73400.9242.0141701141840000.000077110


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$2,272,727$NoLien
Ben LovejoyFlorida PanthersD351984-02-20No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
Cal ClutterbuckFlorida PanthersRW311987-11-18No216 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm1,933,222$1,933,222$1,757,475$NoLien
Carl SoderbergFlorida PanthersC331985-10-12No210 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm3,499,963$3,499,963$3,181,785$NoLien
Evan RodriguesFlorida PanthersC/LW/RW251993-07-28No176 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Haydn FleuryFlorida PanthersD221996-07-08No208 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Jake DeBruskFlorida PanthersLW/RW221996-10-17No188 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Josh BaileyFlorida PanthersLW/RW291989-10-02No212 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Keith KinkaidFlorida PanthersG291989-07-04No195 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm3,000,000$3,000,000$2,727,273$NoLien
Kevan MillerFlorida PanthersD311987-11-15No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Kyle Okposo (Sur la Masse Salariale)Florida PanthersRW311988-04-16No219 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,000,000$0$0$YesLien
Luke SchennFlorida PanthersD291989-11-02No221 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
Matt GrzelcykFlorida PanthersD251994-01-05No174 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Nick BoninoFlorida PanthersC311988-04-20No196 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Ondrej PalatFlorida PanthersLW281991-03-28No188 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Par LindholmFlorida PanthersC/LW271991-10-05No183 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Robin LehnerFlorida PanthersG271991-07-24No240 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Ryan KeslerFlorida PanthersC341984-08-31No206 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$909,091$NoLien
Taro HiroseFlorida PanthersLW231996-06-30No160 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Troy StecherFlorida PanthersD251994-04-07No186 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm900,000$900,000$818,182$NoLien
Tyler EnnisFlorida PanthersLW/RW291989-10-06No161 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm950,000$950,000$863,636$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 AnisimovTaro Hirose30122
3Par LindholmNick BoninoEvan Rodrigues20122
4Tyler EnnisRyan KeslerCal Clutterbuck10122
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 BoninoTaro Hirose40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher60122
2Luke SchennHaydn Fleury40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Carl SoderbergPar Lindholm60122
2Ryan KeslerJake 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
2Par Lindholm40122Luke 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
Par LindholmCarl SoderbergCal ClutterbuckKevan 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
Jake DeBrusk, Josh Bailey, Ondrej Palat, Ryan Kesler, Evan Rodrigues
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
1Buffalo Sabres11000000101000000000001100000010121.000123011000291388041814174125.00%70100.00%014024756.68%11923351.07%4410243.14%2114267115
2Carolina Hurricanes11000000422110000004220000000000021.000481200211029165802391220300.00%50100.00%014024756.68%11923351.07%4410243.14%2316247126
3Colorado Avalanche1010000023-11010000023-10000000000000.00024600200029148702511022600.00%5260.00%014024756.68%11923351.07%4410243.14%2619217115
4New Jersey Devils1010000003-3000000000001010000003-300.00000000000029121070188418300.00%20100.00%014024756.68%11923351.07%4410243.14%2316237126
5New York Islanders1010000023-1000000000001010000023-100.0002460002001877401984192150.00%110.00%014024756.68%11923351.07%4410243.14%2214228147
6Tampa Bay Lightning21100000633110000006241010000001-120.5006111700231061192418058152047700.00%10190.00%014024756.68%11923351.07%4410243.14%463147142512
Total73400000151413210000012754130000037-460.429152944017620195816252018449641432528.00%30486.67%014024756.68%11923351.07%4410243.14%163113166529044
_Since Last GM Reset73400000151413210000012754130000037-460.429152944017620195816252018449641432528.00%30486.67%014024756.68%11923351.07%4410243.14%163113166529044
_Vs Conference63300000131122200000010464130000037-460.5001325380156201666754450159485412119210.53%25292.00%014024756.68%11923351.07%4410243.14%13693145457838
_Vs Division32100000734110000006242110000011040.66771320013310903232260992334641119.09%17194.12%014024756.68%11923351.07%4410243.14%674674223718

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L3152944195184496414301
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400001514
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000127
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
413000037
Derniers 10 Matchs
WLOTWOTL SOWSOL
340000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2528.00%30486.67%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
81625207620
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
14024756.68%11923351.07%4410243.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
163113166529044


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 Panthers-Nashville Predators-
21 - 2019-09-22135Pittsburgh Penguins-Florida Panthers-
23 - 2019-09-24153Florida Panthers-Calgary Flames-
26 - 2019-09-27170Florida Panthers-Edmonton Oilers-
27 - 2019-09-28178Florida Panthers-Vancouver Canucks-
29 - 2019-09-30192Florida Panthers-Colorado Avalanche-
32 - 2019-10-03209Detroit Red Wings-Florida Panthers-
37 - 2019-10-08238Washington Capitals-Florida Panthers-
39 - 2019-10-10252Florida Panthers-New York Islanders-
40 - 2019-10-11263Florida Panthers-New York Rangers-
42 - 2019-10-13272Florida Panthers-Boston Bruins-
44 - 2019-10-15288Winnipeg Jets-Florida Panthers-
46 - 2019-10-17306New York Rangers-Florida Panthers-
49 - 2019-10-20319Philadelphia Flyers-Florida Panthers-
51 - 2019-10-22334Anaheim Ducks-Florida Panthers-
53 - 2019-10-24357Florida Panthers-Carolina Hurricanes-
54 - 2019-10-25362Buffalo Sabres-Florida Panthers-
57 - 2019-10-28383Florida Panthers-Washington Capitals-
60 - 2019-10-31409Nashville Predators-Florida Panthers-
63 - 2019-11-03426Minnesota Wild-Florida Panthers-
67 - 2019-11-07458Columbus Blue Jackets-Florida Panthers-
68 - 2019-11-08464San Jose Sharks-Florida Panthers-
70 - 2019-11-10473Tampa Bay Lightning-Florida Panthers-
72 - 2019-11-12489New York Islanders-Florida Panthers-
74 - 2019-11-14510Boston Bruins-Florida Panthers-
76 - 2019-11-16519Ottawa Senators-Florida Panthers-
80 - 2019-11-20548Dallas Stars-Florida Panthers-
81 - 2019-11-21560Florida Panthers-Carolina Hurricanes-
83 - 2019-11-23572Florida Panthers-Tampa Bay Lightning-
88 - 2019-11-28596Detroit Red Wings-Florida Panthers-
89 - 2019-11-29608Montreal Canadiens-Florida Panthers-
91 - 2019-12-01619Florida Panthers-Columbus Blue Jackets-
93 - 2019-12-03632Florida Panthers-Ottawa Senators-
95 - 2019-12-05645Florida Panthers-Buffalo Sabres-
96 - 2019-12-06654Florida Panthers-Pittsburgh Penguins-
98 - 2019-12-08664Phoenix Coyotes-Florida Panthers-
100 - 2019-12-10681Vancouver Canucks-Florida Panthers-
103 - 2019-12-13707Toronto Maple Leafs-Florida Panthers-
107 - 2019-12-17729Los Angeles Kings-Florida Panthers-
109 - 2019-12-19749Florida Panthers-Detroit Red Wings-
111 - 2019-12-21760Florida Panthers-Minnesota Wild-
112 - 2019-12-22765Florida Panthers-Chicago Blackhawks-
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
Assistance16,88314,5925,59111,3032,926
Attendance PCT93.79%97.28%93.18%94.19%97.53%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 17098 - 94.99% 607,030$1,821,090$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
3,700,610$ 33,483,185$ 11,639,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
33,483,185$ 3,273,332$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
23,067,140$ 170 204,188$ 34,711,960$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
35,709,886$ 33,483,185$ 55,722,952$ 43,080,206$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Josh BaileyAGE:29PO:69OV:71
Artem AnisimovAGE:31PO:55OV:70
Ondrej PalatAGE:28PO:41OV:70
Jake DeBruskAGE:22PO:83OV:69
Evan RodriguesAGE:25PO:43OV:67
Tyler EnnisAGE:29PO:64OV:66
Par LindholmAGE:27PO:36OV:64
Alexander NylanderAGE:21PO:87OV:60
Taro HiroseAGE:23PO:64OV:60
Carl SoderbergAGE:33PO:38OV:74
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
Trevor SmithAGE:34PO:51OV:61
Alexander NylanderAGE:21PO:87OV:60
Josh BaileyAGE:29PO:69OV:71
Artem AnisimovAGE:31PO:55OV:70
Jake DeBruskAGE:22PO:83OV:69
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: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:82
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.



[2019-10-17 15:55:23] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-10-15 12:19:44] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-10-12 11:06:04] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-10-12 11:06:04] Taro Hirose of Florida Panthers was sent to pro.
[2019-10-11 13:03:59] Game 58 - Kyle Okposo from Florida Panthers is injured (Broken Right Thumb) and is out for 1 week.
[2019-10-05 12:00:33] Ondrej Palat from Florida Panthers has scored a Hat Trick!
[2019-10-05 11:55:19] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-10-05 11:55:19] Taro Hirose of Florida Panthers was sent down to farm.



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
1473400000151413210000012754130000037-46152944017620195816252018449641432528.00%30486.67%014024756.68%11923351.07%4410243.14%163113166529044
Total Saison Régulière73400000151413210000012754130000037-46152944017620195816252018449641432528.00%30486.67%014024756.68%11923351.07%4410243.14%163113166529044