Florida Panthers

GP: 82 | W: 25 | L: 50 | OTL: 7 | P: 57
GF: 214 | GA: 293 | PP%: 19.26% | PK%: 78.42%
DG: Yannick Ferland | Morale : 1 | Moyenne d'Équipe : 74
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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
1Josh BaileyXX100.00675585898787899158957985558277112800
2Kyle OkposoX100.00825587868989948864837689558584154800
3Nick BoninoX100.00695589808585888093717394558884116760
4Jake DebruskXX100.00855583877983848663827871557068115750
5Scott HartnellX100.00895582779595807557707575559297119740
6Cal ClutterbuckX100.00995586748787777160666888558796118730
7Evan RodriguesXXX100.00705570866971758172806570557375132710
8Jannik HansenXX100.00785565847670857364756371558480120700
9Tyler EnnisXX100.00725575846879797358726972557773125700
10Frank VatranoXXX100.00805578837972797064646570557171175680
11Evgeny Svechnikov (R)XX100.00735574877770697250626362557172172660
12Kevan MillerX100.00955573808885818325726189558077141780
13Andrej SekeraX100.00745591898579907525676083558482118760
14Ben LovejoyX100.00855583828380887225656385558779118760
15Troy StecherX100.0086558283828487782568618455787715760
16Luke SchennX100.00985580829779837225656180558480145760
17Haydn FleuryX100.00855593848078787625656084555353169730
18Matt GrzelcykX100.00775585705780638225706488557676113710
Rayé
1Ryan KeslerX100.0097558690998884859173759755879019800
2Tyler WotherspoonX100.00595559605959755925595959555353133570
MOYENNE D'ÉQUIPE100.0081558082818081775071678055787713073
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 Rask100.0090909890958588909089558786118870
2Keith Kinkaid100.0087808284919184868788558078116830
Rayé
MOYENNE D'ÉQUIPE100.008985908793888688898955848211785
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/RW77274370-9155121472496817310.84%20164221.33214164924100041244042.19%23700000.8512100821
2Kyle OkposoFlorida PanthersRW8225457033401171422416616110.37%29165520.19618245522600082992242.02%44500010.8501000623
3Ryan KeslerFlorida PanthersC79224062-5920207221295892007.46%35169521.4687155125200041825056.25%202500000.7311000154
4Nick BoninoFlorida PanthersC82242549-16421028183244521489.84%24143317.4898175019510191683154.25%162400000.6813110222
5Jake DebruskFlorida PanthersLW/RW85212142-1556013984224531479.38%13164219.32369372440005921238.64%13200000.5100000352
6Kevan MillerFlorida PanthersD847283541375220709123487.69%98169720.21538361180000165100.00%000000.4100010012
7Andrej SekeraFlorida PanthersD5352833-324032465422469.26%73109620.69279211300001115110.00%000000.6000000201
8Troy StecherFlorida PanthersD5872128-154010604044223315.91%7195416.463912191091011130000.00%000000.5900101010
9Ben LovejoyFlorida PanthersD8052126-97410118598421615.95%91165320.67268251480110196000.00%000000.3100110111
10Scott HartnellFlorida PanthersRW84121325-754108071115398410.43%8102712.230119520000221040.18%11200000.4900101011
11Matt GrzelcykFlorida PanthersD6671623-8235415556143212.50%69109216.56055221390001128000.00%000000.4200001200
12Tyler EnnisFlorida PanthersLW/RW84912212220554479235511.39%27809.29000000000400029.51%6100000.5400000012
13Cal ClutterbuckFlorida PanthersRW8310818-214410966295226910.53%1187410.54224129400001080144.90%9800000.4100011100
14Evan RodriguesFlorida PanthersC/LW/RW717916-2625538927819528.97%489812.660115650000322042.06%73700000.3600010010
15Luke SchennFlorida PanthersD8241014-89610200505325337.55%86135016.4802211870000123000.00%000000.2100002010
16Jannik HansenFlorida PanthersLW/RW825813-2026064678029786.25%1284610.3200002000061150.77%6500000.3100000010
17Haydn FleuryFlorida PanthersD3011011-12603226338183.03%5074324.80044141030000106000.00%000000.3000000000
18Frank VatranoFlorida PanthersC/LW/RW27112-97589196135.26%11786.6200001000010042.86%5600000.2200100000
19Trevor SmithThunderbirds (Flo)C28101-775211101510.00%21906.7900001000081042.42%19800000.1100001000
20John MitchellThunderbirds (Flo)C20011-520664030.00%01487.44000022000000028.12%9600000.1300000000
21Tyler WotherspoonFlorida PanthersD19101-26014342625.00%1526714.090000200007000.00%000000.0700000000
22Anthony PelusoThunderbirds (Flo)RW2000000200000.00%02211.060000000000000.00%000000.0000000000
23Evgeny SvechnikovFlorida PanthersLW/RW13000020727150.00%11168.9600001000020033.33%3000000.0000000000
24Eric TangradiThunderbirds (Flo)LW9000-220201010.00%0455.070000100000000.00%200000.0000000000
25Zbynek MichalekThunderbirds (Flo)D7000-520810110.00%09513.6800000000012000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1387201360561-1958389015881491216060614729.31%7152215115.974293135416224421333207422849.90%591800010.5137657262419
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 Panthers57173330.8873.6231304218916730540.700105330302
2Keith KinkaidFlorida Panthers33141220.8963.17181900969190110.00002953220
Stats d'équipe Total ou en Moyenne90314550.8903.4649494228525920650.700108283522


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$0$No
Ben LovejoyFlorida PanthersD321984-02-19No206 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$0$No
Cal ClutterbuckFlorida PanthersRW291987-11-18No215 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm1,933,222$1,933,222$0$No
Evan RodriguesFlorida PanthersC/LW/RW231993-07-28No179 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$300,000$0$No
Evgeny SvechnikovFlorida PanthersLW/RW201996-10-31Yes212 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Frank VatranoFlorida PanthersC/LW/RW221994-03-14No215 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$0$No
Haydn FleuryFlorida PanthersD201996-07-08No207 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Jake DebruskFlorida PanthersLW/RW201996-10-17No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Jannik HansenFlorida PanthersLW/RW301986-03-15No195 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$0$No
Josh BaileyFlorida PanthersLW/RW271989-02-10No194 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$0$No
Keith KinkaidFlorida PanthersG271989-07-04No195 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm3,000,000$3,000,000$0$No
Kevan MillerFlorida PanthersD291987-11-15No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$0$No
Kyle OkposoFlorida PanthersRW281988-04-16No217 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$0$No
Luke SchennFlorida PanthersD271989-11-02No229 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$0$No
Matt GrzelcykFlorida PanthersD231994-01-05No174 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm500,000$500,000$0$No
Nick BoninoFlorida PanthersC281988-04-19No196 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm2,500,000$2,500,000$0$No
Ryan KeslerFlorida PanthersC321984-08-30No208 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$0$No
Scott HartnellFlorida PanthersRW341982-04-17No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Troy StecherFlorida PanthersD221994-04-07No190 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Tuukka RaskFlorida PanthersG291987-03-09No185 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$0$No
Tyler EnnisFlorida PanthersLW/RW271989-10-05No169 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm950,000$950,000$0$No
Tyler WotherspoonFlorida PanthersD231993-03-11No210 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.45200 Lbs6 ft12.452,144,010$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,168,223$39,368,223$26,600,000$2,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DebruskNick BoninoJosh Bailey40104
2Kyle OkposoEvan RodriguesScott Hartnell30104
3Jannik HansenFrank VatranoScott Hartnell20311
4Tyler EnnisEvgeny SvechnikovCal Clutterbuck10320
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury40104
2Ben LovejoyAndrej Sekera30104
3Luke SchennMatt Grzelcyk20122
4Kevan MillerHaydn Fleury10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DebruskEvan RodriguesJosh Bailey60104
2Cal ClutterbuckNick BoninoKyle Okposo40104
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury60104
2Luke SchennAndrej Sekera40104
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kyle OkposoEvan Rodrigues60122
2Nick BoninoCal Clutterbuck40122
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
2Evan Rodrigues40122Luke SchennAndrej Sekera40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kyle OkposoEvan Rodrigues60122
2Nick BoninoCal Clutterbuck40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerHaydn Fleury60122
2Luke SchennAndrej Sekera40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DebruskEvan RodriguesKyle OkposoKevan MillerHaydn Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DebruskEvan RodriguesKyle 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, Haydn Fleury, Luke SchennKevan MillerKevan Miller, Haydn Fleury
Tirs de Pénalité
Kyle Okposo, Josh Bailey, Nick Bonino, Evan Rodrigues, Scott Hartnell
Gardien
#1 : Tuukka Rask, #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
1Anaheim Ducks2020000037-41010000002-21010000035-200.00035800300054231615068263437700.00%12466.67%01434283350.62%1463300848.64%676129052.40%453049142412
2Boston Bruins412000101316-32110000067-12010001079-240.500132033002372973326338143484310014428.57%19194.74%01434283350.62%1463300848.64%676129052.40%8355109315123
3Buffalo Sabres422000009902110000056-12110000043140.500916251051301284933460972330891400.00%14192.86%01434283350.62%1463300848.64%676129052.40%966896284622
4Calgary Flames21100000862110000004131010000045-120.5008152300332065162326064203736800.00%11281.82%01434283350.62%1463300848.64%676129052.40%513542132513
5Carolina Hurricanes30201000611-52010100067-11010000004-420.33361117101131832220401942947561000.00%11372.73%01434283350.62%1463300848.64%676129052.40%735374203617
6Chicago Blackhawks2010100067-11010000024-21000100043120.50061218003111421411161661916396116.67%7357.14%01434283350.62%1463300848.64%676129052.40%443051142814
7Colorado Avalanche2020000027-51010000014-31010000013-200.000246000200561921160731812411000.00%60100.00%01434283350.62%1463300848.64%676129052.40%463149132411
8Columbus Blue Jackets30300000612-620200000510-51010000012-100.00061117002220883420340903022578225.00%11281.82%11434283350.62%1463300848.64%676129052.40%684773203718
9Dallas Stars2010100057-21010000025-31000100032120.50051015002111672713261672135473133.33%90100.00%01434283350.62%1463300848.64%676129052.40%432952142411
10Detroit Red Wings40200101918-92010010057-220100001411-720.25091726007111102422533513235419412433.33%16662.50%01434283350.62%1463300848.64%676129052.40%9465100305123
11Edmonton Oilers2020000048-41010000024-21010000024-200.0004610002200502711120662920477342.86%9277.78%01434283350.62%1463300848.64%676129052.40%442851132412
12Los Angeles Kings2020000048-41010000013-21010000035-200.0004812001210571919190612047266233.33%7271.43%01434283350.62%1463300848.64%676129052.40%483546132412
13Minnesota Wild2020000036-31010000034-11010000002-200.00036900210060219300672221378112.50%7185.71%01434283350.62%1463300848.64%676129052.40%463248142412
14Montreal Canadiens42001100161062200000010462000110066070.875162642006361125513832412534496715320.00%22290.91%01434283350.62%1463300848.64%676129052.40%9264101305023
15Nashville Predators2010010069-31000010034-11010000035-210.250612180023106119281407019184111218.18%9366.67%01434283350.62%1463300848.64%676129052.40%483451142311
16New Jersey Devils30300000411-72020000037-41010000014-300.000481200220065292016011227287010110.00%13376.92%01434283350.62%1463300848.64%676129052.40%624076234120
17New York Islanders31100100912-3210001008801010000014-330.500917260024308629342307021367411218.18%13561.54%01434283350.62%1463300848.64%676129052.40%775565223718
18New York Rangers312000008801010000034-12110000054120.333814220042208031232606217236610440.00%9455.56%01434283350.62%1463300848.64%676129052.40%755065203820
19Ottawa Senators4100120013130210001007702000110066060.750132235003541155475351413340467419421.05%12375.00%01434283350.62%1463300848.64%676129052.40%1007292285125
20Philadelphia Flyers311010001011-1100010004312110000068-240.66710172700225195363224313542264913215.38%13192.31%01434283350.62%1463300848.64%676129052.40%664379223416
21Phoenix Coyotes220000001082110000005411100000054141.000101727004330601723200922534456233.33%14471.43%01434283350.62%1463300848.64%676129052.40%412853162411
22Pittsburgh Penguins30300000915-61010000012-120200000813-500.000915240045008022332508320316010440.00%13376.92%01434283350.62%1463300848.64%676129052.40%644477223718
23San Jose Sharks2020000049-51010000014-31010000035-200.0004812103010602413230662414379222.22%7442.86%01434283350.62%1463300848.64%676129052.40%463248142412
24St. Louis Blues2010001046-21010000014-31000001032120.500461000300148141121573211432600.00%7271.43%01434283350.62%1463300848.64%676129052.40%473251142512
25Tampa Bay Lightning41300000616-102110000059-42020000017-620.250610160014109726393201413441801218.33%150100.00%01434283350.62%1463300848.64%676129052.40%8355106304923
26Toronto Maple Leafs4210100017982010100078-122000000101960.750172845014661155416152110633367116425.00%17382.35%11434283350.62%1463300848.64%676129052.40%1148378254727
Total82165007621214293-7941102403400112149-374162604221102144-42570.3482143785924185625811237182173679033264278786516552965719.26%3297178.42%21434283350.62%1463300848.64%676129052.40%1922132720145961024503
28Vancouver Canucks2110000089-1110000005411010000035-220.50081422102240591116320601714339444.44%7271.43%01434283350.62%1463300848.64%676129052.40%453048152613
29Vegas Golden Knights2020000026-41010000024-21010000002-200.000246001100581826140762212439111.11%6266.67%01434283350.62%1463300848.64%676129052.40%453251142311
30Washington Capitals30300000814-61010000046-22020000048-400.000815230070108436272101043219729222.22%7271.43%01434283350.62%1463300848.64%676129052.40%704973213517
31Winnipeg Jets2020000025-31010000013-21010000012-100.000246002000542412180461919358112.50%6183.33%01434283350.62%1463300848.64%676129052.40%483345152613
_Since Last GM Reset82165007621214293-7941102403400112149-374162604221102144-42570.3482143785924185625811237182173679033264278786516552965719.26%3297178.42%21434283350.62%1463300848.64%676129052.40%1922132720145961024503
_Vs Conference52122805511143185-4226713033007995-1626515022116490-26420.404143247390215241448152052848448826162746551810791833720.22%2053980.98%21434283350.62%1463300848.64%676129052.40%12258491273380649318
_Vs Division28910034118391-81465012004548-31435022113843-5310.55483139222112823286859289275279228772472865751022019.61%1151686.09%11434283350.62%1463300848.64%676129052.40%665464687205348171

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8257L121437859223712642787865165541
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8216507621214293
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110243400112149
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
416264221102144
Derniers 10 Matchs
WLOTWOTL SOWSOL
231310
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2965719.26%3297178.42%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
8217367903385625811
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
1434283350.62%1463300848.64%676129052.40%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1922132720145961024503


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 Hurricanes4Florida Panthers2LSommaire du Match
135 - 2019-01-17949Los Angeles Kings3Florida Panthers1LSommaire du Match
137 - 2019-01-19962Florida Panthers1Colorado Avalanche3LSommaire du Match
138 - 2019-01-20968Florida Panthers5Phoenix Coyotes4WSommaire du Match
140 - 2019-01-22990Florida Panthers0Vegas Golden Knights2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241003Carolina Hurricanes3Florida Panthers4WXSommaire du Match
143 - 2019-01-251011Ottawa Senators3Florida Panthers4WSommaire du Match
145 - 2019-01-271027Florida Panthers5Pittsburgh Penguins8LSommaire du Match
147 - 2019-01-291034Florida Panthers1Boston Bruins4LSommaire du Match
148 - 2019-01-301046Minnesota Wild4Florida Panthers3LSommaire du Match
150 - 2019-02-011062Detroit Red Wings3Florida Panthers2LSommaire du Match
154 - 2019-02-051091Florida Panthers3San Jose Sharks5LSommaire du Match
156 - 2019-02-071103Florida Panthers3Los Angeles Kings5LSommaire du Match
157 - 2019-02-081111Florida Panthers3Anaheim Ducks5LSommaire du Match
159 - 2019-02-101124Florida Panthers3Dallas Stars2WXSommaire du Match
161 - 2019-02-121141Phoenix Coyotes4Florida Panthers5WSommaire du Match
163 - 2019-02-141154Boston Bruins5Florida Panthers3LSommaire du Match
165 - 2019-02-161176Florida Panthers4Toronto Maple Leafs1WSommaire du Match
166 - 2019-02-171181Florida Panthers2Montreal Canadiens3LXSommaire du Match
168 - 2019-02-191193Florida Panthers4Ottawa Senators5LXSommaire du Match
170 - 2019-02-211203Florida Panthers6Boston Bruins5WXXSommaire du Match
172 - 2019-02-231222Washington Capitals6Florida Panthers4LSommaire du Match
175 - 2019-02-261246New York Islanders4Florida Panthers3LXSommaire du Match
177 - 2019-02-281262New Jersey Devils4Florida Panthers1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance226,752188,44975,009152,67137,451
Attendance PCT92.18%91.93%91.47%93.09%91.34%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 16593 - 92.19% 1,035,024$42,435,971$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
50,566,425$ 47,168,223$ 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
47,168,223$ 45,693,014$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 293,041$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 47,168,223$ 57,698,430$ 57,698,430$



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:68
*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:68
*Trevor SmithAGE:31PO:1OV:61
Brendan WoodsAGE:24PO:1OV:59
Ben HolmstromAGE:29PO: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:68
*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:57
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.



[2019-04-06 12:58:55] Ryan Kesler from Florida Panthers is back from Torn Left Knee Ligaments Injury.
[2019-04-03 08:15:41] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-04-03 08:15:41] Evgeny Svechnikov of Florida Panthers was sent to pro.
[2019-04-01 07:49:16] Game 1222 - Ryan Kesler from Florida Panthers is injured (Torn Left Knee Ligaments) and is out for 2 weeks.
[2019-03-30 11:23:35] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-03-30 11:23:35] Trevor Smith of Florida Panthers was sent down to farm.
[2019-03-26 10:38:25] Josh Bailey from Florida Panthers is back from Bruised Right Leg Injury.
[2019-03-25 07:49:19] Auto Lines Partial Function has been run for Florida Panthers.
[2019-03-25 07:49:19] Auto Roster Partial Function has been run for Florida Panthers.
[2019-03-23 16:27:36] Game 1154 - Josh Bailey from Florida Panthers is injured (Bruised Right Leg) and is out for 6 days.
[2019-03-19 05:23:49] Troy Stecher from Florida Panthers is back from Sprained Left Finger Injury.
[2019-03-19 05:22:34] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-03-14 08:40:29] Auto Lines Partial Function has been run for Florida Panthers.
[2019-03-14 08:40:29] Auto Roster Partial Function has been run for Florida Panthers.
[2019-03-13 09:05:48] Jake Debrusk from Florida Panthers is back from Strained Left Elbow Injury.
[2019-03-11 09:22:54] Tuukka Rask from Florida Panthers is back from Exhaustion.
[2019-03-10 05:41:00] Tuukka Rask from Florida Panthers injured (Exhaustion)
[2019-03-10 05:41:00] Game 1062 - Jake Debrusk from Florida Panthers is injured (Strained Left Elbow) and is out for 6 days.
[2019-03-07 10:21:35] Successfully loaded Florida Panthers lines done with STHS Client - 3.1.6.6
[2019-03-05 10:15:45] Auto Lines Partial Function has been run for Florida Panthers.
[2019-03-05 10:15:45] Auto Roster Partial Function has been run for Florida Panthers.
[2019-03-04 11:49:03] Tuukka Rask from Florida Panthers is back from Exhaustion.
[2019-03-03 13:41:54] Matt Grzelcyk from Florida Panthers is back from Sprained Right Ankle Injury.
[2019-03-03 13:41:53] Tuukka Rask from Florida Panthers injured (Exhaustion)
[2019-03-02 14:05:43] Auto Lines Partial Function has been run for Florida Panthers.
[2019-03-02 14:05:43] Auto Roster Partial Function has been run for Florida Panthers.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1382165007621214293-7941102403400112149-374162604221102144-42572143785924185625811237182173679033264278786516552965719.26%3297178.42%21434283350.62%1463300848.64%676129052.40%1922132720145961024503
Total Saison Régulière82165007621214293-7941102403400112149-374162604221102144-42572143785924185625811237182173679033264278786516552965719.26%3297178.42%21434283350.62%1463300848.64%676129052.40%1922132720145961024503
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