Florida Panthers

GP: 16 | W: 10 | L: 6 | OTL: 0 | P: 20
GF: 48 | GA: 41 | PP%: 12.77% | PK%: 87.72%
DG: Yannick Ferland | Morale : 57 | Moyenne d'Équipe : 70
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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 SoderbergX100.007438857185839569807372886984763861740
2Josh BaileyXX100.005342887780829576648269587478746961710
3Artem AnisimovXXX100.005436887086819168766972736779725561700
4Ondrej PalatX100.008138887472777873527766717275694161700
5Nick BoninoX100.005437876877819466826768866579723861700
6Jake DeBruskXX100.006837867472818273547276677565678361690
7Kyle OkposoX100.007345787278848370627169637279736861690
8Cal ClutterbuckX100.009241746776788665536663766180744061680
9Evan RodriguesXXX100.005643856867818766777364726571674361670
10Ryan KeslerX100.008153686582817364836163776285764261670
11Tyler EnnisXX100.006635927362757469526668617078716461660
12Taro HiroseX100.005335946365795862536458605965636461600
13Ben LovejoyX100.007945806278828459306658845185752561710
14Kevan MillerX100.008458666181835359307358864980722758700
15Troy StecherX100.007839806768859166307357765469654261700
16Luke SchennX100.009849775985786258306453734878706561680
17Haydn FleuryX100.007638896685776264306753685265638661660
18Matt GrzelcykX100.006350726865857966307362655469656165660
Rayé
1Par LindholmXX100.006638865971697858756652815575683634630
MOYENNE D'ÉQUIPE100.00714282687680796655706373627670526068
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 Lehner100.00939189959291939291939275816161880
2Keith Kinkaid100.00868785828584868584868578843961830
Rayé
MOYENNE D'ÉQUIPE100.0090898789898890898890897783506186
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
1Nick BoninoFlorida PanthersC1668145001312573124.00%420612.89213638000001156.72%26800001.3601000101
2Carl SoderbergFlorida PanthersC16671352028578212377.32%1038123.8311214430002611050.94%58700000.6801000111
3Jake DeBruskFlorida PanthersLW/RW167512280291569173210.14%730419.0213412380000331032.14%2800000.7901000012
4Artem AnisimovFlorida PanthersC/LW/RW1647112405344210439.52%123814.8900001000032051.91%31400000.9200000200
5Troy StecherFlorida PanthersD1637105180211223101113.04%2039624.76011944000146000.00%000000.5000000100
6Josh BaileyFlorida PanthersLW/RW163694207194811336.25%134221.410228430000270142.19%6400000.5311000021
7Ondrej PalatFlorida PanthersLW16459512040274112309.76%337023.141015430001541050.00%3400000.4901000012
8Kyle OkposoFlorida PanthersRW162792203214486374.17%226716.73033838000000036.00%2500000.6701000010
9Evan RodriguesFlorida PanthersC/LW/RW163585001202731511.11%119212.01000100000201056.00%2500000.8300000010
10Kevan MillerFlorida PanthersD162684371548192210219.09%2839224.54000944000149100.00%000100.4100111000
11Cal ClutterbuckFlorida PanthersRW162685603313257228.00%317010.6600001000001046.15%1300000.9400000021
12Matt GrzelcykFlorida PanthersD16257-314101710161312.50%922414.030000000000000.00%000000.6200101010
13Haydn FleuryFlorida PanthersD1606660031414690.00%2033621.06011737000146000.00%000000.3600000000
14Luke SchennFlorida PanthersD161456260481018765.56%3432720.50101737000033000.00%000000.3000000000
15Ben LovejoyFlorida PanthersD16033-4180281512160.00%2824515.3600001000025000.00%000000.2400000000
16Taro HiroseFlorida PanthersLW16112-5001354720.00%01026.3900000000000030.00%1000000.3900000001
17Ryan KeslerFlorida PanthersC16101-5401512931211.11%01036.4500000000000050.91%11000000.1900000000
18Tyler EnnisFlorida PanthersLW/RW16011-50001177130.00%01026.390000000000000.00%500000.2011000000
Stats d'équipe Total ou en Moyenne288478913634153253573365331343688.82%171470416.34612188641500064049250.91%148300100.58272125109
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 Panthers1610600.9292.5696320415810000.8577160401
Stats d'équipe Total ou en Moyenne1610600.9292.5696320415810000.8577160401


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
1Carolina Hurricanes2010001069-31010000026-41000001043120.500691500230262202218994324633400.00%13469.23%031159052.71%32963651.73%11525245.63%412656162712
2Columbus Blue Jackets22000000734110000004131100000032141.00071421001330612117230822414537114.29%60100.00%031159052.71%32963651.73%11525245.63%473146142513
3New Jersey Devils211000006601010000013-21100000053220.5006121800222052172114080281350400.00%40100.00%031159052.71%32963651.73%11525245.63%453149132512
4New York Islanders22000000532110000003211100000021141.000591400302062241127066192243400.00%60100.00%031159052.71%32963651.73%11525245.63%452947162713
5New York Rangers211000008621010000035-21100000051420.50081422003140782526270581310468225.00%5180.00%031159052.71%32963651.73%11525245.63%493344142614
6Philadelphia Flyers21100000752110000006331010000012-120.5007132000313071221435052181639500.00%8187.50%031159052.71%32963651.73%11525245.63%483345152512
7Pittsburgh Penguins2020000036-31010000024-21010000012-100.000369001110703121180701918566116.67%9188.89%031159052.71%32963651.73%11525245.63%473248142411
Total16960001048417844000002426-28520001024159200.6254889137001713172533186153192958117115535747612.77%57787.72%031159052.71%32963651.73%11525245.63%368249388119208102
9Washington Capitals22000000633110000003211100000031241.00061218002220772621300791816379222.22%60100.00%031159052.71%32963651.73%11525245.63%432950142512
_Since Last GM Reset16960001048417844000002426-28520001024159200.6254889137001713172533186153192958117115535747612.77%57787.72%031159052.71%32963651.73%11525245.63%368249388119208102
_Vs Conference16960001048417844000002426-28520001024159200.6254889137001713172533186153192958117115535747612.77%57787.72%031159052.71%32963651.73%11525245.63%368249388119208102

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1620W2488913753358117115535700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
169600104841
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84400002426
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
85200102415
Derniers 10 Matchs
WLOTWOTL SOWSOL
450010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
47612.77%57787.72%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
18615319291713172
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
31159052.71%32963651.73%11525245.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
368249388119208102


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 Hurricanes6Florida Panthers2LSommaire du Match
16 - 2019-09-17165New York Rangers5Florida Panthers3LSommaire du Match
18 - 2019-09-19187Florida Panthers1Pittsburgh Penguins2LSommaire du Match
19 - 2019-09-20195Florida Panthers4Carolina Hurricanes3WXXSommaire du Match
21 - 2019-09-22212Pittsburgh Penguins4Florida Panthers2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24225New York Islanders2Florida Panthers3WSommaire du Match
25 - 2019-09-26235Florida Panthers5New York Rangers1WSommaire du Match



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
0 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$ 1 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
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:63
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
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
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: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.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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