Florida Panthers

GP: 58 | W: 18 | L: 36 | OTL: 4 | P: 40
GF: 142 | GA: 198 | PP%: 20.41% | PK%: 81.33%
DG: Yannick Ferland | Morale : 16 | Moyenne d'Équipe : 74
Prochain matchs #931 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
1Ryan KeslerX99.00975586909988848591737597558790119800
2Josh BaileyXX100.00675585898787899158957985558277126800
3Kyle OkposoX99.00825587868989948864837689558584164800
4Nick BoninoX100.00695589808585888093717394558884121760
5Jake DebruskXX99.00855583877983848663827871557068122750
6Scott HartnellX100.00895582779595807557707575559297128740
7Cal ClutterbuckX100.00995586748787777160666888558796129730
8Evan RodriguesXXX100.00705570866971758172806570557375148710
9Jannik HansenXX100.00785565847670857364756371558480130700
10Tyler EnnisXX100.00725575846879797358726972557773134700
11Frank VatranoXXX100.00805578837972797064646570557171187690
12Trevor Smith (R)X100.00765572687468716150636462555757149620
13Kevan MillerX100.00955573808885818325726189558077154780
14Andrej SekeraX100.00745591898579907525676083558482135760
15Ben LovejoyX100.00855583828380887225656385558779127760
16Luke SchennX100.00985580829779837225656180558480153760
17Haydn FleuryX99.00855593848078787625656084555353179730
18Tyler WotherspoonX100.00595559605959755925595959555353148580
Rayé
1Troy StecherX35.7186558283828487782568618455787714760
2Matt GrzelcykX96.67775585705780638225706488557676119710
MOYENNE D'ÉQUIPE96.3581558081818082775071678055777613973
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
1Tuukka Rask100.0090909890958588909089558786121870
2Keith Kinkaid97.0087808284919184868788558078124830
Rayé
MOYENNE D'ÉQUIPE98.508985908793888688898955848212385
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien60757086907254CAN5854,700,000$


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
1Josh BaileyFlorida PanthersLW/RW56163753-71359114177501319.04%14123922.13113143017300041244042.65%20400000.8612100721
2Ryan KeslerFlorida PanthersC57152641-10740151155211661387.11%27117720.677613341670004974056.99%144400000.7000000132
3Kyle OkposoFlorida PanthersRW5813263951808088156411048.33%22115319.88310133214800051941140.94%17100010.6800000502
4Jake DebruskFlorida PanthersLW/RW61161430-144609757169381119.47%13115118.88358251570004691139.58%9600000.5200000242
5Troy StecherFlorida PanthersD5172128-154010604044223315.91%6994918.613912191091011126000.00%000000.5900101010
6Nick BoninoFlorida PanthersC58131326-164018116167371007.78%15100117.264482811810191262153.23%106700000.5202000111
7Kevan MillerFlorida PanthersD60318211284015346448276.82%60110018.34101527000094000.00%000000.3800000011
8Andrej SekeraFlorida PanthersD3031720-5140142627102011.11%4064521.50055963000077100.00%000000.6200000101
9Ben LovejoyFlorida PanthersD5841519-1241575477119545.63%66125321.62257231420110133000.00%000000.3000010011
10Scott HartnellFlorida PanthersRW6010919-43410445082315312.20%769911.650119520000221036.17%9400000.5400101011
11Matt GrzelcykFlorida PanthersD4561218-3140303848122512.50%4379617.70055201300001117000.00%000000.4500000100
12Cal ClutterbuckFlorida PanthersRW597411-9220574367134610.45%75749.741121160000820144.19%4300000.3800000000
13Evan RodriguesFlorida PanthersC/LW/RW475510-1980265350113110.00%360012.780003360000151040.50%44200000.3300000000
14Luke SchennFlorida PanthersD58461016201422630101913.33%4988815.32000016000053000.00%000000.2300000010
15Jannik HansenFlorida PanthersLW/RW58459-1618049475922586.78%960510.4400002000061054.90%5100000.3000000010
16Tyler EnnisFlorida PanthersLW/RW60448014031265214357.69%24467.4400000000060045.00%2000000.3600000000
17Haydn FleuryFlorida PanthersD6011-420813210.00%1515025.02000012000022000.00%000000.1300000000
18John MitchellThunderbirds (Flo)C20011-520664030.00%01487.44000022000000028.12%9600000.1300000000
19Anthony PelusoThunderbirds (Flo)RW2000000200000.00%02211.060000000000000.00%000000.0000000000
20Trevor SmithFlorida PanthersC8000-120140000.00%0536.6600000000010054.00%5000000.0000000000
21Evgeny SvechnikovThunderbirds (Flo)LW/RW11000-220627130.00%1968.7500001000010037.50%800000.0000000000
22Frank VatranoFlorida PanthersC/LW/RW3000-100111010.00%0175.800000000000000.00%300000.0000000000
23Eric TangradiThunderbirds (Flo)LW9000-220201010.00%0455.070000100000000.00%200000.0000000000
24Zbynek MichalekThunderbirds (Flo)D7000-520810110.00%09513.6800000000012000.00%000000.0000000000
25Tyler WotherspoonFlorida PanthersD13000-4401322140.00%818514.290000200006000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne955130234364-13652230108398914724099998.83%4701509915.81256489238140521328139116450.44%379100010.4814312181612
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
1Tuukka RaskFlorida Panthers39132220.8863.5621104212510950230.71473722302
2Keith KinkaidFlorida Panthers2511900.9032.90138600676940100.00002137220
Stats d'équipe Total ou en Moyenne64243120.8933.3034964219217890330.71475859522


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
Andrej SekeraFlorida PanthersD301986-06-07No201 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm4,785,001$4,785,001$1,243,560$No
Ben LovejoyFlorida PanthersD321984-02-19No206 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Cal ClutterbuckFlorida PanthersRW291987-11-18No215 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm1,933,222$1,933,222$502,419$No
Evan RodriguesFlorida PanthersC/LW/RW231993-07-28No179 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$300,000$77,966$No
Frank VatranoFlorida PanthersC/LW/RW221994-03-14No215 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Haydn FleuryFlorida PanthersD201996-07-08No207 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Jake DebruskFlorida PanthersLW/RW201996-10-17No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Jannik HansenFlorida PanthersLW/RW301986-03-15No195 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Josh BaileyFlorida PanthersLW/RW271989-02-10No194 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Keith KinkaidFlorida PanthersG271989-07-04No195 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm3,000,000$3,000,000$779,661$No
Kevan MillerFlorida PanthersD291987-11-15No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Kyle OkposoFlorida PanthersRW281988-04-16No217 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Luke SchennFlorida PanthersD271989-11-02No229 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Matt GrzelcykFlorida PanthersD231994-01-05No174 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm500,000$500,000$129,944$No
Nick BoninoFlorida PanthersC281988-04-19No196 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Ryan KeslerFlorida PanthersC321984-08-30No208 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Scott HartnellFlorida PanthersRW341982-04-17No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Trevor SmithFlorida PanthersC311985-02-07Yes195 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm500,000$500,000$129,944$No
Troy Stecher (Sur la Masse Salariale)Florida PanthersD221994-04-07No190 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$Yes
Tuukka RaskFlorida PanthersG291987-03-09No185 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Tyler EnnisFlorida PanthersLW/RW271989-10-05No169 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm950,000$950,000$246,893$No
Tyler WotherspoonFlorida PanthersD231993-03-11No210 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.95199 Lbs6 ft02.452,125,828$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
46,768,223$38,968,223$26,200,000$2,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DebruskRyan KeslerJosh Bailey40104
2Tyler EnnisNick BoninoKyle Okposo30104
3Jannik HansenEvan RodriguesScott Hartnell20311
4Frank VatranoTrevor SmithCal Clutterbuck10320
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury40104
2Tyler WotherspoonBen Lovejoy30104
3Luke SchennAndrej Sekera20122
4Kevan MillerHaydn Fleury10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DebruskRyan KeslerJosh Bailey60104
2Cal ClutterbuckNick BoninoKyle Okposo40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury60104
2Andrej SekeraBen Lovejoy40104
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kyle OkposoRyan Kesler60122
2Nick BoninoJake Debrusk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury60122
2Luke SchennBen Lovejoy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kyle Okposo60122Kevan MillerHaydn Fleury60122
2Ryan Kesler40122Luke SchennBen Lovejoy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kyle OkposoRyan Kesler60122
2Nick BoninoJake Debrusk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury60122
2Andrej SekeraBen Lovejoy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DebruskRyan KeslerKyle OkposoKevan MillerHaydn Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DebruskRyan KeslerKyle OkposoKevan MillerHaydn Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cal Clutterbuck, Evan Rodrigues, Tyler EnnisCal Clutterbuck, Evan RodriguesTyler Ennis
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevan Miller, Andrej Sekera, Luke SchennKevan MillerAndrej Sekera, Ben Lovejoy
Tirs de Pénalité
Kyle Okposo, Ryan Kesler, Nick Bonino, Jake Debrusk, Scott Hartnell
Gardien
#1 : Keith Kinkaid, #2 : Tuukka Rask


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 Ducks1010000002-21010000002-20000000000000.0000000000002610610040162422300.00%7185.71%01040203851.03%1028209249.14%46489252.02%2114277105
2Boston Bruins11000000321110000003210000000000021.000358002010198650381319322150.00%70100.00%01040203851.03%1028209249.14%46489252.02%169308125
3Buffalo Sabres422000009902110000056-12110000043140.500916251051301284933460972330891400.00%14192.86%01040203851.03%1028209249.14%46489252.02%966896284622
4Calgary Flames21100000862110000004131010000045-120.5008152300332065162326064203736800.00%11281.82%01040203851.03%1028209249.14%46489252.02%513542132513
5Carolina Hurricanes1010000004-4000000000001010000004-400.0000000000002610970298713200.00%10100.00%01040203851.03%1028209249.14%46489252.02%2418235116
6Chicago Blackhawks2010100067-11010000024-21000100043120.50061218003111421411161661916396116.67%7357.14%01040203851.03%1028209249.14%46489252.02%443051142814
7Colorado Avalanche1010000014-31010000014-30000000000000.000123000100339121203271023700.00%50100.00%01040203851.03%1028209249.14%46489252.02%2517226115
8Columbus Blue Jackets30300000612-620200000510-51010000012-100.00061117002220883420340903022578225.00%11281.82%11040203851.03%1028209249.14%46489252.02%684773203718
9Dallas Stars1010000025-31010000025-30000000000000.000246002000361961103271019000.00%50100.00%01040203851.03%1028209249.14%46489252.02%2417236115
10Detroit Red Wings30100101715-81000010034-120100001411-720.33371421007001752623245962926717457.14%11463.64%01040203851.03%1028209249.14%46489252.02%724975223817
11Edmonton Oilers2020000048-41010000024-21010000024-200.0004610002200502711120662920477342.86%9277.78%01040203851.03%1028209249.14%46489252.02%442851132412
12Minnesota Wild1010000002-2000000000001010000002-200.000000000000381162104071219300.00%50100.00%01040203851.03%1028209249.14%46489252.02%2517226126
13Montreal Canadiens3200100014772200000010461000100043161.000142236004361873124302932735449333.33%150100.00%01040203851.03%1028209249.14%46489252.02%694875233818
14Nashville Predators2010010069-31000010034-11010000035-210.250612180023106119281407019184111218.18%9366.67%01040203851.03%1028209249.14%46489252.02%483451142311
15New Jersey Devils2020000037-41010000023-11010000014-300.00036900120045241380742118496116.67%8362.50%01040203851.03%1028209249.14%46489252.02%443049142613
16New York Islanders2110000068-2110000005411010000014-320.500612180022206522232003713224511218.18%6266.67%01040203851.03%1028209249.14%46489252.02%533841152512
17New York Rangers312000008801010000034-12110000054120.333814220042208031232606217236610440.00%9455.56%01040203851.03%1028209249.14%46489252.02%755065203820
18Ottawa Senators200011005501000010034-11000100021130.7505914001121722324232711810416233.33%5180.00%01040203851.03%1028209249.14%46489252.02%473347132512
19Philadelphia Flyers311010001011-1100010004312110000068-240.66710172700225195363224313542264913215.38%13192.31%01040203851.03%1028209249.14%46489252.02%664379223416
20Pittsburgh Penguins2020000047-31010000012-11010000035-200.0004610001300471321130521525406233.33%10190.00%01040203851.03%1028209249.14%46489252.02%422952152411
21San Jose Sharks1010000014-31010000014-30000000000000.000123001000311261303716617100.00%3166.67%01040203851.03%1028209249.14%46489252.02%2115267115
22St. Louis Blues2010001046-21010000014-31000001032120.500461000300148141121573211432600.00%7271.43%01040203851.03%1028209249.14%46489252.02%473251142512
23Tampa Bay Lightning41300000616-102110000059-42020000017-620.250610160014109726393201413441801218.33%150100.00%01040203851.03%1028209249.14%46489252.02%8355106304923
24Toronto Maple Leafs3110100013852010100078-11100000060640.66713223501363112731514418022264412325.00%12375.00%11040203851.03%1028209249.14%46489252.02%886656183520
Total58123605311142198-56308170230080106-2628419030116292-30400.345142252394215941367168358551856719183754254911501964020.41%2254281.33%21040203851.03%1028209249.14%46489252.02%13709471415417721356
26Vancouver Canucks2110000089-1110000005411010000035-220.50081422102240591116320601714339444.44%7271.43%01040203851.03%1028209249.14%46489252.02%453048152613
27Vegas Golden Knights1010000024-21010000024-20000000000000.00024600110036131310045134213133.33%2150.00%01040203851.03%1028209249.14%46489252.02%2216267115
28Washington Capitals2020000048-4000000000002020000048-400.0004711003010532216150712015466116.67%5260.00%01040203851.03%1028209249.14%46489252.02%473349142311
29Winnipeg Jets2020000025-31010000013-21010000012-100.000246002000542412180461919358112.50%6183.33%01040203851.03%1028209249.14%46489252.02%483345152613
_Since Last GM Reset58123605311142198-56308170230080106-2628419030116292-30400.345142252394215941367168358551856719183754254911501964020.41%2254281.33%21040203851.03%1028209249.14%46489252.02%13709471415417721356
_Vs Conference3810210420198127-291868022005663-720413020014264-22310.4089817126911382828511043863573511311663323457661242822.58%1422483.10%21040203851.03%1028209249.14%46489252.02%898623924275470231
_Vs Division2077032015762-51153012003637-1924020012125-4230.575579815511231516460519420020410616166187401621422.58%79988.61%11040203851.03%1028209249.14%46489252.02%475331490146247121

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5840L114225239416831837542549115021
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5812365311142198
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30817230080106
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2841930116292
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1964020.41%2254281.33%2
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
585518567195941367
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
1040203851.03%1028209249.14%46489252.02%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13709471415417721356


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
4 - 2018-09-0827Florida Panthers0Tampa Bay Lightning4LSommaire du Match
9 - 2018-09-1348Columbus Blue Jackets5Florida Panthers3LSommaire du Match
10 - 2018-09-1462Vancouver Canucks4Florida Panthers5WSommaire du Match
13 - 2018-09-1781Florida Panthers4Philadelphia Flyers2WSommaire du Match
16 - 2018-09-20101Florida Panthers1Washington Capitals3LSommaire du Match
17 - 2018-09-21105Detroit Red Wings4Florida Panthers3LXSommaire du Match
20 - 2018-09-24128Florida Panthers4New York Rangers2WSommaire du Match
21 - 2018-09-25131Florida Panthers1New York Islanders4LSommaire du Match
24 - 2018-09-28153Florida Panthers1New Jersey Devils4LSommaire du Match
29 - 2018-10-03183Winnipeg Jets3Florida Panthers1LSommaire du Match
30 - 2018-10-04194Florida Panthers1Winnipeg Jets2LSommaire du Match
36 - 2018-10-10230Edmonton Oilers4Florida Panthers2LSommaire du Match
38 - 2018-10-12247New York Islanders4Florida Panthers5WSommaire du Match
39 - 2018-10-13255Ottawa Senators4Florida Panthers3LXSommaire du Match
41 - 2018-10-15271Florida Panthers2Philadelphia Flyers6LSommaire du Match
43 - 2018-10-17278Florida Panthers1Columbus Blue Jackets2LSommaire du Match
45 - 2018-10-19298Florida Panthers1New York Rangers2LSommaire du Match
47 - 2018-10-21312Florida Panthers2Ottawa Senators1WXSommaire du Match
49 - 2018-10-23330Florida Panthers1Tampa Bay Lightning3LSommaire du Match
50 - 2018-10-24336Florida Panthers0Carolina Hurricanes4LSommaire du Match
51 - 2018-10-25349Chicago Blackhawks4Florida Panthers2LSommaire du Match
53 - 2018-10-27363New Jersey Devils3Florida Panthers2LSommaire du Match
55 - 2018-10-29380Anaheim Ducks2Florida Panthers0LSommaire du Match
57 - 2018-10-31393Buffalo Sabres2Florida Panthers3WSommaire du Match
58 - 2018-11-01398Tampa Bay Lightning6Florida Panthers1LSommaire du Match
61 - 2018-11-04419Boston Bruins2Florida Panthers3WSommaire du Match
63 - 2018-11-06431Colorado Avalanche4Florida Panthers1LSommaire du Match
65 - 2018-11-08450New York Rangers4Florida Panthers3LSommaire du Match
68 - 2018-11-11472Florida Panthers3St. Louis Blues2WXXSommaire du Match
70 - 2018-11-13481Florida Panthers0Minnesota Wild2LSommaire du Match
72 - 2018-11-15497Toronto Maple Leafs5Florida Panthers3LSommaire du Match
75 - 2018-11-18518Florida Panthers4Buffalo Sabres1WSommaire du Match
77 - 2018-11-20539Florida Panthers6Toronto Maple Leafs0WSommaire du Match
79 - 2018-11-22550Florida Panthers3Detroit Red Wings4LXXSommaire du Match
80 - 2018-11-23560Florida Panthers4Chicago Blackhawks3WXSommaire du Match
82 - 2018-11-25581Montreal Canadiens3Florida Panthers6WSommaire du Match
83 - 2018-11-26589Philadelphia Flyers3Florida Panthers4WXSommaire du Match
85 - 2018-11-28606Florida Panthers1Detroit Red Wings7LSommaire du Match
88 - 2018-12-01622Florida Panthers0Buffalo Sabres2LSommaire du Match
90 - 2018-12-03637Columbus Blue Jackets5Florida Panthers2LSommaire du Match
93 - 2018-12-06661Florida Panthers3Pittsburgh Penguins5LSommaire du Match
95 - 2018-12-08673Florida Panthers2Edmonton Oilers4LSommaire du Match
96 - 2018-12-09685Florida Panthers4Calgary Flames5LSommaire du Match
98 - 2018-12-11703Florida Panthers3Vancouver Canucks5LSommaire du Match
100 - 2018-12-13715Florida Panthers4Montreal Canadiens3WXSommaire du Match
103 - 2018-12-16737Toronto Maple Leafs3Florida Panthers4WXSommaire du Match
104 - 2018-12-17747Florida Panthers3Nashville Predators5LSommaire du Match
106 - 2018-12-19757San Jose Sharks4Florida Panthers1LSommaire du Match
113 - 2018-12-26785Nashville Predators4Florida Panthers3LXSommaire du Match
114 - 2018-12-27791Vegas Golden Knights4Florida Panthers2LSommaire du Match
117 - 2018-12-30813St. Louis Blues4Florida Panthers1LSommaire du Match
119 - 2019-01-01828Pittsburgh Penguins2Florida Panthers1LSommaire du Match
121 - 2019-01-03851Florida Panthers3Washington Capitals5LSommaire du Match
122 - 2019-01-04855Tampa Bay Lightning3Florida Panthers4WSommaire du Match
124 - 2019-01-06867Dallas Stars5Florida Panthers2LSommaire du Match
126 - 2019-01-08881Calgary Flames1Florida Panthers4WSommaire du Match
129 - 2019-01-11906Montreal Canadiens1Florida Panthers4WSommaire du Match
131 - 2019-01-13919Buffalo Sabres4Florida Panthers2LSommaire du Match
133 - 2019-01-15931Carolina Hurricanes-Florida Panthers-
135 - 2019-01-17949Los Angeles Kings-Florida Panthers-
137 - 2019-01-19962Florida Panthers-Colorado Avalanche-
138 - 2019-01-20968Florida Panthers-Phoenix Coyotes-
140 - 2019-01-22990Florida Panthers-Vegas Golden Knights-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241003Carolina Hurricanes-Florida Panthers-
143 - 2019-01-251011Ottawa Senators-Florida Panthers-
145 - 2019-01-271027Florida Panthers-Pittsburgh Penguins-
147 - 2019-01-291034Florida Panthers-Boston Bruins-
148 - 2019-01-301046Minnesota Wild-Florida Panthers-
150 - 2019-02-011062Detroit Red Wings-Florida Panthers-
154 - 2019-02-051091Florida Panthers-San Jose Sharks-
156 - 2019-02-071103Florida Panthers-Los Angeles Kings-
157 - 2019-02-081111Florida Panthers-Anaheim Ducks-
159 - 2019-02-101124Florida Panthers-Dallas Stars-
161 - 2019-02-121141Phoenix Coyotes-Florida Panthers-
163 - 2019-02-141154Boston Bruins-Florida Panthers-
165 - 2019-02-161176Florida Panthers-Toronto Maple Leafs-
166 - 2019-02-171181Florida Panthers-Montreal Canadiens-
168 - 2019-02-191193Florida Panthers-Ottawa Senators-
170 - 2019-02-211203Florida Panthers-Boston Bruins-
172 - 2019-02-231222Washington Capitals-Florida Panthers-
175 - 2019-02-261246New York Islanders-Florida Panthers-
177 - 2019-02-281262New Jersey Devils-Florida Panthers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance167,178138,12254,834112,51527,561
Attendance PCT92.88%92.08%91.39%93.76%91.87%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
11 16674 - 92.63% 1,040,604$31,218,131$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
37,657,571$ 45,868,223$ 30,164,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
45,868,223$ 34,058,721$ 0$ 21 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
11,446,648$ 46 285,696$ 13,142,016$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
13,491,288$ 45,868,223$ 59,738,409$ 57,693,769$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Josh BaileyAGE:27PO:1OV:80
Jake DebruskAGE:20PO:1OV:75
Evan RodriguesAGE:23PO:1OV:71
Jannik HansenAGE:30PO:1OV:70
Tyler EnnisAGE:27PO:1OV:70
Frank VatranoAGE:22PO:1OV:69
*Evgeny SvechnikovAGE:20PO:1OV:66
Alexander NylanderAGE:18PO:1OV:64
Jamie DevaneAGE:25PO:1OV:58
Eric TangradiAGE:27PO:1OV:54
Ryan KeslerAGE:32PO:1OV:80
Nick BoninoAGE:28PO:1OV:76
Evan RodriguesAGE:23PO:1OV:71
Frank VatranoAGE:22PO:1OV:69
*Trevor SmithAGE:31PO:1OV:62
Ben HolmstromAGE:29PO:1OV:58
Brendan WoodsAGE:24PO:1OV:58
*Mason AppletonAGE:20PO:1OV:56
John MitchellAGE:31PO:1OV:54
Mark ZengerleAGE:27PO:1OV:53
Reid PetrykAGE:23PO:1OV:53
Josh BaileyAGE:27PO:1OV:80
Kyle OkposoAGE:28PO:1OV:80
Jake DebruskAGE:20PO:1OV:75
Scott HartnellAGE:34PO:1OV:74
Cal ClutterbuckAGE:29PO:1OV:73
Evan RodriguesAGE:23PO:1OV:71
Jannik HansenAGE:30PO:1OV:70
Tyler EnnisAGE:27PO:1OV:70
Frank VatranoAGE:22PO:1OV:69
*Evgeny SvechnikovAGE:20PO:1OV:66
Anthony PelusoAGE:27PO:1OV:59
Adam ChapieAGE:25PO:1OV:56
*Jens LookeAGE:19PO:1OV:53

Défense #1Défense #2Gardien
Kevan MillerAGE:29PO:1OV:78
Andrej SekeraAGE:30PO:1OV:76
Ben LovejoyAGE:32PO:1OV:76
Troy StecherAGE:22PO:1OV:76
Luke SchennAGE:27PO:1OV:76
Haydn FleuryAGE:20PO:1OV:73
Matt GrzelcykAGE:23PO:1OV:71
Tyler WotherspoonAGE:23PO:1OV:58
Zbynek MichalekAGE:34PO:1OV:56
Andrew BodnarchukAGE:28PO:1OV:55
*Zach TrotmanAGE:26PO:1OV:55
Chris CastoAGE:25PO:1OV:54
Tuukka RaskAGE:29PO:1OV:87
Keith KinkaidAGE:27PO:1OV:83
Zane McIntyreAGE:24PO:1OV:74
*Adam CarlsonAGE:22PO:1OV:54

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
Alex GudbransonFlorida Panthers
Joren Van PottelbergheFlorida Panthers11151
Markus RuusuFlorida Panthers11153
Taylor RaddyshFlorida Panthers1225
Veeti VainioFlorida Panthers11137

Choix au Repêchage

Année R1R2R3R4R5R6
14Flo Flo
15Was Bos Bos Flo Pit Flo Tor Flo
16Was Flo Flo
17Flo Flo Flo Flo Flo Flo
18Flo Flo Flo Flo Flo Flo



[2019-02-05 09:05:29] - TRADE : From Florida Panthers to Boston Bruins : Matt Niskanen (81), Roman Polak (76).
[2019-02-05 09:05:29] - TRADE : From Boston Bruins to Florida Panthers : Matt Grzelcyk (71), Kevan Miller (78).
[2019-02-01 08:58:24] - TRADE : From Florida Panthers to Pittsburgh Penguins : Ryan Johansen (82), Pavel Shen (P).
[2019-02-01 08:58:24] - TRADE : From Pittsburgh Penguins to Florida Panthers : Frank Vatrano (68), Haydn Fleury (72), Alexander Nylander (64), Y:15-RND:3-Pit.
[2019-02-01 08:55:20] - TRADE : From Florida Panthers to Vegas Golden Knights : Steven Kampfer (66).
[2019-01-31 10:14:53] - TRADE : From Phoenix Coyotes to Florida Panthers : Joren Van Pottelberghe (P).
[2019-01-31 10:14:53] - TRADE : From Florida Panthers to Phoenix Coyotes : Marcus Foligno (73).
[2019-01-30 09:38:58] - TRADE : From Philadelphia Flyers to Florida Panthers : Tyler Ennis (70).
[2019-01-30 09:38:58] - TRADE : From Florida Panthers to Philadelphia Flyers : Radim Vrbata (74).
[2019-01-04 08:43:10] - TRADE : From Florida Panthers to Vegas Golden Knights : Anton Lander (57).
[2019-01-02 09:21:10] - TRADE : From Washington Capitals to Florida Panthers : Kyle Okposo (80), Ryan Johansen (83), Y:15-RND:2-Was, Y:15-RND:2-Bos, Y:16-RND:3-Was.
[2019-01-02 09:21:10] - TRADE : From Florida Panthers to Washington Capitals : Andrew Cogliano (78), John Klingberg (85).
[2018-12-14 15:33:11] - TRADE : From Toronto Maple Leafs to Florida Panthers : Scott Hartnell (75).
[2018-12-14 15:33:11] - TRADE : From Florida Panthers to Toronto Maple Leafs : Y:16-RND:4-Tor.
[2018-12-07 13:33:30] - TRADE : From Florida Panthers to Anaheim Ducks : Andreas Martinsen (62).
[2018-12-06 10:53:22] - TRADE : From Nashville Predators to Florida Panthers : Cal Clutterbuck (73).
[2018-12-06 10:53:22] - TRADE : From Florida Panthers to Nashville Predators : Y:15-RND:5-Flo.
[2018-12-05 11:10:38] - TRADE : From Florida Panthers to Boston Bruins : Ben Bishop (87).
[2018-12-05 11:10:38] - TRADE : From Boston Bruins to Florida Panthers : Tuukka Rask (87).
[2018-12-03 18:10:33] - TRADE : From Nashville Predators to Florida Panthers : Evan Rodrigues (70), Evgeny Svechnikov (66), Y:15-RND:3-Flo.
[2018-12-03 18:10:33] - TRADE : From Florida Panthers to Nashville Predators : James van Riemsdyk (80).
[2018-11-23 16:42:28] - TRADE : From Boston Bruins to Florida Panthers : Andrej Sekera (76).
[2018-11-20 18:36:19] - TRADE : From Florida Panthers to Chicago Blackhawks : Martin Hanzal (78).
[2018-11-20 18:36:19] - TRADE : From Chicago Blackhawks to Florida Panthers : Andrew Cogliano (78), Luke Schenn (76).
[2018-11-08 16:11:18] - TRADE : From Florida Panthers to Boston Bruins : Mark Giordano (86), Mark Stone (81), Michael Grabner (78).
[2018-11-08 16:11:18] - TRADE : From Boston Bruins to Florida Panthers : Jake Debrusk (75), James van Riemsdyk (80), Matt Niskanen (82), Y:15-RND:4-Flo.
[2018-11-08 16:10:30] - TRADE : From Florida Panthers to Buffalo Sabres : Jaromir Jagr (69), Niklas Kronwall (80).
[2018-11-08 16:10:30] - TRADE : From Buffalo Sabres to Florida Panthers : Marcus Foligno (74), Roman Polak (76).
[2018-10-22 11:18:39] - TRADE : From Los Angeles Kings to Florida Panthers : Troy Stecher.
[2018-10-22 11:18:39] - TRADE : From Florida Panthers to Los Angeles Kings : Y:15-RND:2-Flo.
[2018-10-08 12:11:15] - TRADE : From Pittsburgh Penguins to Florida Panthers : Steven Kampfer.
[2018-10-08 12:11:15] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:15-RND:5-Bos.
[2018-09-29 10:52:13] - Team Name Change : San Antonio Rampage changed name to Thunderbirds
[2018-09-29 10:46:59] - Team Name Change : Floride Panthers changed name to Florida Panthers
[2018-09-13 10:12:04] - Adam Chapie was added to Floride Panthers.
[2018-09-09 15:04:55] - Adam Carlson was added to Floride Panthers.
[2018-09-05 22:30:44] - TRADE : From Boston Bruins to Floride Panthers : Y:15-RND:3-Bos.
[2018-09-05 12:45:17] - Ron Hainsey was released.
[2018-09-03 23:14:52] - TRADE : From Calgary Flames to Floride Panthers : Mason Appleton.
[2018-09-03 12:22:31] - TRADE : From Floride Panthers to Boston Bruins : Brad Marchand, Tuukka Rask.
[2018-09-03 12:22:31] - TRADE : From Boston Bruins to Floride Panthers : Mark Stone, Ben Bishop, Taylor Raddysh (P), Y:15-RND:5-Bos.



[2019-02-15 15:22:26] Matt Grzelcyk from Florida Panthers is back from Severed Left Wrist Tendons Injury.
[2019-02-09 10:19:22] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-02-09 10:19:22] Frank Vatrano of Florida Panthers was sent to pro.
[2019-02-09 10:19:22] Evgeny Svechnikov of Florida Panthers was sent down to farm.
[2019-02-08 10:28:41] Auto Lines Partial Function has been run for Florida Panthers.
[2019-02-08 10:28:41] Auto Roster Partial Function has been run for Florida Panthers.
[2019-02-08 10:28:41] Tyler Wotherspoon of Florida Panthers was sent to pro.
[2019-02-06 09:13:31] Game 855 - Matt Grzelcyk from Florida Panthers is injured (Severed Left Wrist Tendons) and is out for 1 week.
[2019-02-06 09:12:51] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-02-05 09:05:29] TRADE : From Florida Panthers to Boston Bruins : Matt Niskanen (81), Roman Polak (76).
[2019-02-05 09:05:29] TRADE : From Boston Bruins to Florida Panthers : Matt Grzelcyk (71), Kevan Miller (78).
[2019-02-05 09:02:36] Game 851 - Troy Stecher from Florida Panthers is injured (Sprained Left Finger) and is out for 2 months.
[2019-02-05 09:01:39] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-02-05 09:01:39] Haydn Fleury of Florida Panthers was sent to pro.
[2019-02-05 09:01:39] Anthony Peluso of Florida Panthers was sent down to farm.
[2019-02-05 09:01:34] Florida Panthers placed Anthony Peluso on waivers.
[2019-02-02 19:15:57] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-02-01 08:58:24] TRADE : From Florida Panthers to Pittsburgh Penguins : Ryan Johansen (82), Pavel Shen (P).
[2019-02-01 08:58:24] TRADE : From Pittsburgh Penguins to Florida Panthers : Frank Vatrano (68), Haydn Fleury (72), Alexander Nylander (64), Y:15-RND:3-Pit.
[2019-02-01 08:55:25] Florida Panthers are expected to be over the salary cap by 1 468 223 $!
[2019-02-01 08:55:20] TRADE : From Florida Panthers to Vegas Golden Knights : Steven Kampfer (66).
[2019-02-01 08:54:34] Ryan Johansen from Florida Panthers is back from Upper Body Injury.
[2019-02-01 08:54:34] Josh Bailey from Florida Panthers is back from Right Foot Injury.
[2019-02-01 08:51:47] Auto Lines Partial Function has been run for Florida Panthers.
[2019-02-01 08:51:47] Auto Roster Partial Function has been run for Florida Panthers.
[2019-02-01 08:51:47] Anthony Peluso of Florida Panthers was sent to pro.
[2019-01-31 10:14:53] TRADE : From Phoenix Coyotes to Florida Panthers : Joren Van Pottelberghe (P).
[2019-01-31 10:14:53] TRADE : From Florida Panthers to Phoenix Coyotes : Marcus Foligno (73).
[2019-01-31 10:12:58] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-01-31 10:12:58] Steven Kampfer of Florida Panthers was sent down to farm.
[2019-01-31 10:12:58] Tyler Wotherspoon of Florida Panthers was sent down to farm.
[2019-01-31 10:12:58] Evgeny Svechnikov of Florida Panthers was sent to pro.
[2019-01-31 10:12:58] Trevor Smith of Florida Panthers was sent to pro.
[2019-01-31 10:12:53] Florida Panthers placed Steven Kampfer on waivers.
[2019-01-30 09:38:58] TRADE : From Philadelphia Flyers to Florida Panthers : Tyler Ennis (70).
[2019-01-30 09:38:58] TRADE : From Florida Panthers to Philadelphia Flyers : Radim Vrbata (74).
[2019-01-30 09:36:04] Tuukka Rask from Florida Panthers is back from Exhaustion.
[2019-01-29 10:10:36] Tuukka Rask from Florida Panthers injured (Exhaustion)
[2019-01-29 10:10:36] Game 791 - Josh Bailey from Florida Panthers is injured (Right Foot) and is out for 6 days.
[2019-01-29 10:10:36] Game 791 - Ryan Johansen from Florida Panthers is injured (Upper Body) and is out for 5 days.
[2019-01-28 18:08:22] Florida Panthers are expected to be over the salary cap by 1 618 223 $!
[2019-01-27 13:52:38] Florida Panthers are expected to be over the salary cap by 1 618 223 $!
[2019-01-27 13:48:42] Last 7 Days Farm Star : 1 - Joakim Ryan of Wild (4-3-7) / 2 - Matt Frattin of Stars (5-1-6) / 3 - Trevor Smith of Thunderbirds (4-4-8)
[2019-01-26 17:55:29] Florida Panthers are expected to be over the salary cap by 1 618 223 $!
[2019-01-25 15:40:57] Florida Panthers are expected to be over the salary cap by 1 618 223 $!
[2019-01-25 15:39:52] Matt Niskanen from Florida Panthers is back from Left Hip Injury.
[2019-01-24 17:31:26] Troy Stecher from Florida Panthers is back from Sprained Left Ankle Injury.
[2019-01-23 11:16:15] Brendan Woods from Thunderbirds completes suspension
[2019-01-23 11:15:28] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-01-23 11:15:28] Tyler Wotherspoon of Florida Panthers was sent to pro.



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
1358123605311142198-56308170230080106-2628419030116292-3040142252394215941367168358551856719183754254911501964020.41%2254281.33%21040203851.03%1028209249.14%46489252.02%13709471415417721356
Total Saison Régulière58123605311142198-56308170230080106-2628419030116292-3040142252394215941367168358551856719183754254911501964020.41%2254281.33%21040203851.03%1028209249.14%46489252.02%13709471415417721356
Séries
121147000002735-8624000001620-4523000001115-48275077101555239613013412111336999622937616.22%38684.21%123846151.63%22238457.81%10317160.23%2821972507914473
121147000002735-8624000001620-4523000001115-48275077101555239613013412111336999622937616.22%38684.21%123846151.63%22238457.81%10317160.23%2821972507914473
Total Séries22814000005470-161248000003240-81046000002230-8165410015420301010479226026824222672198192458741216.22%761284.21%247692251.63%44476857.81%20634260.23%564395501159288147