Florida Panthers

GP: 82 | W: 45 | L: 33 | OTL: 4 | P: 94
GF: 202 | GA: 193 | PP%: 15.71% | PK%: 83.77%
DG: Yannick Ferland | Morale : 66 | Moyenne d'Équipe : 71
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Carl SoderbergX99.007438857185839569807372886984763859740
2Jeff CarterX100.007341817287838971837273747084754668720
3Josh BaileyXX99.005342887780829576648269587478746964710
4Jake DeBruskXX99.006837867472818273547276677565678375700
5Artem AnisimovXXX100.005436887086819168766972736779725574700
6Ondrej PalatX100.008138887472777873527766717275694174700
7Nick BoninoX100.005437876877819466826768866579723875700
8Kyle OkposoX100.007345787278848370627169637279736866690
9Cal ClutterbuckX100.009241746776788665536663766180744069680
10Evan RodriguesXXX100.005643856867818766777364726571674375670
11Par LindholmXX100.006638865971697858756652815575683674640
12Taro HiroseX100.005335946365795862536458605965636421600
13Jay BouwmeesterX100.006640796388879162307158825386774375720
14Dan GirardiX100.008537866280837561307262865385752525720
15Ben LovejoyX100.007945806278828459306658845185752575710
16Kevan MillerX100.008458666181835359307358864980722753700
17Troy StecherX100.007839806768859166307357765469654275700
18Matt GrzelcykX100.006350726865857966307362655469656153660
Rayé
1Haydn FleuryX100.007638896685776264306753685265638637660
MOYENNE D'ÉQUIPE99.84704183687781826654716475627671496269
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 Lehner100.00939189959291939291939275816169880
2Keith Kinkaid97.00868785828584868584868578843974830
Rayé
MOYENNE D'ÉQUIPE98.5090898789898890898890897783507286
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'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Carl SoderbergFlorida PanthersC74214061-6260178233277712227.58%29166722.54714215522900092504152.49%222500010.7302000943
2Jake DeBruskFlorida PanthersLW/RW82263056325512293261701879.96%6161119.661081864264000112010438.94%11300000.6914000475
3Nick BoninoFlorida PanthersC822227492316037204221681539.95%17152918.6538115425900082752251.30%153400010.6400000531
4Josh BaileyFlorida PanthersLW/RW72113142-70029110167481436.59%6141319.631910302420002443248.24%19900000.5902000143
5Ondrej PalatFlorida PanthersLW7922204256802161211875613711.76%11141817.9645926262000174238.46%10400010.5901000436
6Jay BouwmeesterFlorida PanthersD79930391215449785296510.59%98171521.717815472440000225300.00%000000.4500010010
7Artem AnisimovFlorida PanthersC/LW/RW80162339910036109164561439.76%9122215.28325201510001125048.67%56300000.6401000333
8Kevan MillerFlorida PanthersD78530352122202331158126576.17%105173922.3021113442180001183100.00%000000.4000031002
9Jeff CarterFlorida PanthersC81201434-15201101911433610513.99%13129015.934592714800021553056.48%136500100.5315000225
10Troy StecherFlorida PanthersD82112233548011210386266812.79%81203124.7861117452870000245400.00%000000.3200000140
11Kyle OkposoFlorida PanthersRW78102030624014777123301038.13%0107113.7306616124000000047.46%5900000.5600000213
12Ben LovejoyFlorida PanthersD82721283560152847121559.86%92149818.27303211340000216100.00%000000.3700000251
13Evan RodriguesFlorida PanthersC/LW/RW821011214120319294288410.64%599212.102138490001881147.69%32500000.4212000213
14Cal ClutterbuckFlorida PanthersRW7777140420775066194410.61%46318.2000009000051040.00%4500000.4400000010
15Par LindholmFlorida PanthersC/LW7077141240655266163810.61%1071710.25000010000673150.98%20400100.3900000112
16Dan GirardiFlorida PanthersD7121113-13400108756520423.08%89137319.34145391490001199000.00%000000.1900000100
17Matt GrzelcykFlorida PanthersD65191032804853263183.85%3998415.15011115000164000.00%000000.2000000000
18Haydn FleuryFlorida PanthersD40178-11004126124138.33%3567816.96011869000187000.00%000000.2400000001
19Taro HiroseFlorida PanthersLW35011-102095189130.00%035610.19000228000000038.57%7000000.0600000000
Stats d'équipe Total ou en Moyenne1389208361569276263017951890221363616909.40%6492394217.2453941475072891000292250451351.60%680600230.48317041374038
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 Panthers52301630.9172.2730136511413710210.687165032542
2Keith KinkaidFlorida Panthers34151710.9072.32193602758050300.00003250331
Stats d'équipe Total ou en Moyenne86453340.9132.2949506718921760510.687168282873


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Artem AnisimovFlorida PanthersC/LW/RW311988-05-24No198 Lbs6 ft4NoNoNo1Pro & Farm2,500,000$2,500,000$13,369$NoLien
Ben LovejoyFlorida PanthersD351984-02-20No205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$5,348$NoLien
Cal ClutterbuckFlorida PanthersRW311987-11-18No216 Lbs5 ft11NoNoNo1Pro & Farm1,933,222$1,933,222$10,338$NoLien
Carl SoderbergFlorida PanthersC331985-10-12No210 Lbs6 ft3NoNoNo4Pro & Farm3,499,963$3,499,963$18,716$No3,499,963$3,499,963$3,499,963$Lien
Dan GirardiFlorida PanthersD351984-04-29No212 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$13,369$NoLien
Evan RodriguesFlorida PanthersC/LW/RW251993-07-28No176 Lbs5 ft10NoNoNo1Pro & Farm300,000$300,000$1,604$NoLien
Haydn FleuryFlorida PanthersD221996-07-08No208 Lbs6 ft3NoNoNo2Pro & Farm900,000$900,000$4,813$No900,000$Lien
Jake DeBruskFlorida PanthersLW/RW221996-10-17No188 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$4,813$No900,000$Lien
Jay BouwmeesterFlorida PanthersD351983-09-27No206 Lbs6 ft4NoNoNo1Pro & Farm1,920,000$1,920,000$10,267$NoLien
Jeff CarterFlorida PanthersC341985-01-01No219 Lbs6 ft3NoNoNo1Pro & Farm5,000,000$5,000,000$26,738$NoLien
Josh BaileyFlorida PanthersLW/RW291989-10-02No212 Lbs6 ft1NoNoNo2Pro & Farm3,500,000$3,500,000$18,717$No3,500,000$Lien
Keith KinkaidFlorida PanthersG291989-07-04No195 Lbs6 ft3NoNoNo2Pro & Farm3,000,000$3,000,000$16,043$No3,000,000$Lien
Kevan MillerFlorida PanthersD311987-11-15No210 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$2,500,000$13,369$No2,500,000$Lien
Kyle OkposoFlorida PanthersRW311988-04-16No219 Lbs6 ft0NoNoNo2Pro & Farm5,000,000$5,000,000$26,738$No5,000,000$Lien
Matt GrzelcykFlorida PanthersD251994-01-05No174 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$2,674$No500,000$Lien
Nick BoninoFlorida PanthersC311988-04-20No196 Lbs6 ft1NoNoNo3Pro & Farm2,500,000$2,500,000$13,369$No2,500,000$2,500,000$Lien
Ondrej PalatFlorida PanthersLW281991-03-28No188 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$18,717$No3,500,000$Lien
Par LindholmFlorida PanthersC/LW271991-10-05No183 Lbs6 ft0NoNoNo4Pro & Farm300,000$300,000$1,604$No300,000$300,000$300,000$Lien
Robin LehnerFlorida PanthersG271991-07-24No240 Lbs6 ft4NoNoNo1Pro & Farm2,500,000$2,500,000$13,369$NoLien
Taro HiroseFlorida PanthersLW231996-06-30No160 Lbs5 ft10NoNoNo4Pro & Farm300,000$300,000$1,604$No300,000$300,000$300,000$Lien
Troy StecherFlorida PanthersD251994-04-07No186 Lbs5 ft10NoNoNo2Pro & Farm900,000$900,000$4,813$No900,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2129.00200 Lbs6 ft11.952,140,628$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
44,953,185$27,299,963$6,599,963$4,099,963$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DeBruskCarl SoderbergJosh Bailey40122
2Ondrej PalatNick BoninoArtem Anisimov30122
3Cal ClutterbuckJeff CarterKyle Okposo20122
4Taro HirosePar LindholmEvan Rodrigues10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevan MillerTroy Stecher40122
2Dan GirardiJay Bouwmeester30122
3Matt GrzelcykBen Lovejoy20122
4Jay BouwmeesterTroy Stecher10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake DeBruskCarl SoderbergJosh Bailey60122
2Ondrej PalatNick BoninoArtem Anisimov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay BouwmeesterTroy Stecher60122
2Kevan MillerDan Girardi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Par LindholmCarl Soderberg60122
2Jeff CarterNick Bonino40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay BouwmeesterTroy Stecher60122
2Kevan MillerBen Lovejoy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Carl Soderberg60122Kevan MillerTroy Stecher60122
2Nick Bonino40122Jay BouwmeesterBen Lovejoy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick BoninoJeff Carter60122
2Artem AnisimovJake DeBrusk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben LovejoyTroy Stecher60122
2Kevan MillerJay Bouwmeester40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DeBruskJeff CarterJosh BaileyJay BouwmeesterTroy Stecher
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Par LindholmCarl SoderbergCal ClutterbuckKevan MillerJay Bouwmeester
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Artem Anisimov, Jake DeBrusk, Evan RodriguesJosh Bailey, Jake DeBruskEvan Rodrigues
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Troy Stecher, Ben Lovejoy, Jay BouwmeesterTroy StecherBen Lovejoy, Jay Bouwmeester
Tirs de Pénalité
Jake DeBrusk, Carl Soderberg, Jeff Carter, Josh Bailey, Evan Rodrigues
Gardien
#1 : Keith Kinkaid, #2 : Robin Lehner


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 Ducks2110000035-2110000002111010000014-320.500369001110441415150711820509222.22%10190.00%01371267551.25%1370268151.10%608117651.70%473248142311
2Boston Bruins42100001810-2210000016602110000024-250.625813210023301003528364109363210517211.76%16475.00%01371267551.25%1370268151.10%608117651.70%996895295024
3Buffalo Sabres411010011012-2200010017702110000035-250.625101828016302130443647513538429214428.57%19573.68%01371267551.25%1370268151.10%608117651.70%997097285024
4Calgary Flames22000000413110000002111100000020241.000471101211053232010054191656700.00%80100.00%01371267551.25%1370268151.10%608117651.70%453049142512
5Carolina Hurricanes32100000862110000004222110000044040.667816240143108234192906227246917211.76%90100.00%01371267551.25%1370268151.10%608117651.70%735169213619
6Chicago Blackhawks211000008441010000023-11100000061520.50081422003410662326170581221537114.29%7185.71%01371267551.25%1370268151.10%608117651.70%483246142412
7Colorado Avalanche2020000058-31010000023-11010000035-200.00059140030204916141906382645700.00%13469.23%01371267551.25%1370268151.10%608117651.70%463247152511
8Columbus Blue Jackets31101000810-2100010003212110000058-340.66781523001421672222221841228591100.00%12375.00%01371267551.25%1370268151.10%608117651.70%714871223819
9Dallas Stars2020000048-41010000024-21010000024-200.000471110202039149160541812356116.67%5260.00%01371267551.25%1370268151.10%608117651.70%442948152713
10Detroit Red Wings4300100017611210010008262200000094581.00017284500736114448375638524388714321.43%13284.62%01371267551.25%1370268151.10%608117651.70%1037187285126
11Edmonton Oilers21100000330110000002111010000012-120.50036900201047121718050131657400.00%7185.71%01371267551.25%1370268151.10%608117651.70%473347142412
12Los Angeles Kings22000000624110000003121100000031241.00061117003030521515220491810329222.22%50100.00%01371267551.25%1370268151.10%608117651.70%513543152513
13Minnesota Wild21001000633110000002021000100043141.00061218012211441613141531121408112.50%90100.00%01371267551.25%1370268151.10%608117651.70%483148162613
14Montreal Canadiens41201000911-22010100056-12110000045-140.500918270051211184338352119303712013323.08%11463.64%01371267551.25%1370268151.10%608117651.70%936396305226
15Nashville Predators2010100058-3100010003211010000026-420.50059140010315610232213714145010220.00%7442.86%01371267551.25%1370268151.10%608117651.70%513643142512
16New Jersey Devils30300000410-61010000023-12020000027-500.0004812000310682230160671624681100.00%11372.73%01371267551.25%1370268151.10%608117651.70%694772223819
17New York Islanders31101000972100010003212110000065140.66791625002421742920223761329519222.22%11372.73%01371267551.25%1370268151.10%608117651.70%674676243817
18New York Rangers3020000149-52010000136-31010000013-210.1674711001120591919197902523651218.33%90100.00%01371267551.25%1370268151.10%608117651.70%704775233920
19Ottawa Senators4400000015312220000009272200000061581.00015304502654013239474607818298313215.38%12191.67%01371267551.25%1370268151.10%608117651.70%1067782275126
20Philadelphia Flyers32000010963210000106421100000032161.000915240024218422302896924267010330.00%11281.82%01371267551.25%1370268151.10%608117651.70%805867203719
21Phoenix Coyotes2020000026-41010000014-31010000012-100.000235001010631926180411314561119.09%7185.71%01371267551.25%1370268151.10%608117651.70%493445152512
22Pittsburgh Penguins32100000862211000005411100000032140.667814220025108326391808225327813430.77%14285.71%01371267551.25%1370268151.10%608117651.70%684572223819
23San Jose Sharks22000000725110000002111100000051441.00071219005110572522100441916527228.57%80100.00%01371267551.25%1370268151.10%608117651.70%432850152613
24St. Louis Blues21100000550110000003031010000025-320.5005813014100613016150671927519333.33%10190.00%01371267551.25%1370268151.10%608117651.70%432852152312
25Tampa Bay Lightning41300000660211000006422020000002-220.250611170023101104138310974134911500.00%17194.12%01371267551.25%1370268151.10%608117651.70%946493315126
26Toronto Maple Leafs422000001214-22110000056-12110000078-140.500122234005340124435130012134309615213.33%14378.57%01371267551.25%1370268151.10%608117651.70%8961100305024
Total8236330811320219394117140601310492124119190210098101-3940.5732023655671779615310219973573570737217760970918953124915.71%3085083.77%01371267551.25%1370268151.10%608117651.70%1960134719486141047522
28Vancouver Canucks2010100045-11010000024-21000100021120.5004711002101491716151701220453133.33%100100.00%01371267551.25%1370268151.10%608117651.70%452950152712
29Vegas Golden Knights22000000523110000002111100000031241.00058130012204613181503910124211218.18%60100.00%01371267551.25%1370268151.10%608117651.70%503442142714
30Washington Capitals3120000068-22020000026-41100000042220.333611170022206613203309022205412216.67%90100.00%01371267551.25%1370268151.10%608117651.70%684674213617
31Winnipeg Jets2010010027-51010000004-41000010023-110.25024600011032811130632016438112.50%8275.00%01371267551.25%1370268151.10%608117651.70%422752162512
_Since Last GM Reset8236330811320219394117140601310492124119190210098101-3940.5732023655671779615310219973573570737217760970918953124915.71%3085083.77%01371267551.25%1370268151.10%608117651.70%1960134719486141047522
_Vs Conference522320050131331249269805013746212261412000005962-3610.587133242375044747337144148047446834136438544811881963015.31%1883382.45%01371267551.25%1370268151.10%608117651.70%12538691232385663331
_Vs Division281490300277621514630300246331314860000031292360.64377140217033321204858293275281147442212426741011615.84%1022080.39%01371267551.25%1370268151.10%608117651.70%684476653206358178

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8294L120236556721992177609709189517
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8236338113202193
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
411714601310492
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
411919210098101
Derniers 10 Matchs
WLOTWOTL SOWSOL
440101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3124915.71%3085083.77%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
7357357073779615310
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
1371267551.25%1370268151.10%608117651.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1960134719486141047522


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-09-035Florida Panthers0Tampa Bay Lightning1LSommaire du Match
4 - 2019-09-0521Tampa Bay Lightning2Florida Panthers6WSommaire du Match
7 - 2019-09-0836Carolina Hurricanes2Florida Panthers4WSommaire du Match
10 - 2019-09-1158Florida Panthers1Buffalo Sabres0WSommaire du Match
11 - 2019-09-1268Florida Panthers2New York Islanders3LSommaire du Match
13 - 2019-09-1480Florida Panthers0New Jersey Devils3LSommaire du Match
17 - 2019-09-18107Colorado Avalanche3Florida Panthers2LSommaire du Match
18 - 2019-09-19121Florida Panthers2Nashville Predators6LSommaire du Match
21 - 2019-09-22135Pittsburgh Penguins2Florida Panthers4WSommaire du Match
23 - 2019-09-24153Florida Panthers2Calgary Flames0WSommaire du Match
26 - 2019-09-27170Florida Panthers1Edmonton Oilers2LSommaire du Match
27 - 2019-09-28178Florida Panthers2Vancouver Canucks1WXSommaire du Match
29 - 2019-09-30192Florida Panthers3Colorado Avalanche5LSommaire du Match
32 - 2019-10-03209Detroit Red Wings1Florida Panthers6WSommaire du Match
37 - 2019-10-08238Washington Capitals4Florida Panthers1LSommaire du Match
39 - 2019-10-10252Florida Panthers4New York Islanders2WSommaire du Match
40 - 2019-10-11263Florida Panthers1New York Rangers3LSommaire du Match
42 - 2019-10-13272Florida Panthers2Boston Bruins1WSommaire du Match
44 - 2019-10-15288Winnipeg Jets4Florida Panthers0LSommaire du Match
46 - 2019-10-17306New York Rangers2Florida Panthers1LXXSommaire du Match
49 - 2019-10-20319Philadelphia Flyers1Florida Panthers2WSommaire du Match
51 - 2019-10-22334Anaheim Ducks1Florida Panthers2WSommaire du Match
53 - 2019-10-24357Florida Panthers0Carolina Hurricanes4LSommaire du Match
54 - 2019-10-25362Buffalo Sabres4Florida Panthers5WXSommaire du Match
57 - 2019-10-28383Florida Panthers4Washington Capitals2WSommaire du Match
60 - 2019-10-31409Nashville Predators2Florida Panthers3WXSommaire du Match
63 - 2019-11-03426Minnesota Wild0Florida Panthers2WSommaire du Match
67 - 2019-11-07458Columbus Blue Jackets2Florida Panthers3WXSommaire du Match
68 - 2019-11-08464San Jose Sharks1Florida Panthers2WSommaire du Match
70 - 2019-11-10473Tampa Bay Lightning2Florida Panthers0LSommaire du Match
72 - 2019-11-12489New York Islanders2Florida Panthers3WXSommaire du Match
74 - 2019-11-14510Boston Bruins2Florida Panthers3WSommaire du Match
76 - 2019-11-16519Ottawa Senators2Florida Panthers4WSommaire du Match
80 - 2019-11-20548Dallas Stars4Florida Panthers2LSommaire du Match
81 - 2019-11-21560Florida Panthers4Carolina Hurricanes0WSommaire du Match
83 - 2019-11-23572Florida Panthers0Tampa Bay Lightning1LSommaire du Match
88 - 2019-11-28596Detroit Red Wings1Florida Panthers2WXSommaire du Match
89 - 2019-11-29608Montreal Canadiens3Florida Panthers4WXSommaire du Match
91 - 2019-12-01619Florida Panthers4Columbus Blue Jackets3WSommaire du Match
93 - 2019-12-03632Florida Panthers4Ottawa Senators0WSommaire du Match
95 - 2019-12-05645Florida Panthers2Buffalo Sabres5LSommaire du Match
96 - 2019-12-06654Florida Panthers3Pittsburgh Penguins2WSommaire du Match
98 - 2019-12-08664Phoenix Coyotes4Florida Panthers1LSommaire du Match
100 - 2019-12-10681Vancouver Canucks4Florida Panthers2LSommaire du Match
103 - 2019-12-13707Toronto Maple Leafs4Florida Panthers1LSommaire du Match
107 - 2019-12-17729Los Angeles Kings1Florida Panthers3WSommaire du Match
109 - 2019-12-19749Florida Panthers6Detroit Red Wings3WSommaire du Match
111 - 2019-12-21760Florida Panthers4Minnesota Wild3WXSommaire du Match
112 - 2019-12-22765Florida Panthers6Chicago Blackhawks1WSommaire du Match
123 - 2020-01-02794Florida Panthers1Montreal Canadiens3LSommaire du Match
125 - 2020-01-04809Florida Panthers3Toronto Maple Leafs2WSommaire du Match
126 - 2020-01-05818Florida Panthers1Columbus Blue Jackets5LSommaire du Match
128 - 2020-01-07830Vegas Golden Knights1Florida Panthers2WSommaire du Match
130 - 2020-01-09848Pittsburgh Penguins2Florida Panthers1LSommaire du Match
132 - 2020-01-11861Florida Panthers3Philadelphia Flyers2WSommaire du Match
133 - 2020-01-12868Florida Panthers2New Jersey Devils4LSommaire du Match
135 - 2020-01-14883Philadelphia Flyers3Florida Panthers4WXXSommaire du Match
137 - 2020-01-16898Edmonton Oilers1Florida Panthers2WSommaire du Match
139 - 2020-01-18915Florida Panthers5San Jose Sharks1WSommaire du Match
141 - 2020-01-20930Florida Panthers1Anaheim Ducks4LSommaire du Match
142 - 2020-01-21940Florida Panthers3Los Angeles Kings1WSommaire du Match
144 - 2020-01-23957Florida Panthers3Vegas Golden Knights1WSommaire du Match
147 - 2020-01-26979Florida Panthers1Phoenix Coyotes2LSommaire du Match
149 - 2020-01-28987Toronto Maple Leafs2Florida Panthers4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301002Chicago Blackhawks3Florida Panthers2LSommaire du Match
152 - 2020-01-311012Calgary Flames1Florida Panthers2WSommaire du Match
156 - 2020-02-041035Boston Bruins4Florida Panthers3LXXSommaire du Match
158 - 2020-02-061055Montreal Canadiens3Florida Panthers1LSommaire du Match
161 - 2020-02-091075Florida Panthers2St. Louis Blues5LSommaire du Match
163 - 2020-02-111090Florida Panthers2Dallas Stars4LSommaire du Match
165 - 2020-02-131102New Jersey Devils3Florida Panthers2LSommaire du Match
167 - 2020-02-151121Florida Panthers3Detroit Red Wings1WSommaire du Match
168 - 2020-02-161128Florida Panthers2Winnipeg Jets3LXSommaire du Match
170 - 2020-02-181138Buffalo Sabres3Florida Panthers2LXXSommaire du Match
172 - 2020-02-201156St. Louis Blues0Florida Panthers3WSommaire du Match
174 - 2020-02-221170Florida Panthers4Toronto Maple Leafs6LSommaire du Match
175 - 2020-02-231182Florida Panthers2Ottawa Senators1WSommaire du Match
177 - 2020-02-251192Florida Panthers3Montreal Canadiens2WSommaire du Match
179 - 2020-02-271207Florida Panthers0Boston Bruins3LSommaire du Match
181 - 2020-02-291225New York Rangers4Florida Panthers2LSommaire du Match
184 - 2020-03-031243Ottawa Senators0Florida Panthers5WSommaire du Match
186 - 2020-03-051265Washington Capitals2Florida Panthers1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance234,864195,18478,337157,43939,538
Attendance PCT95.47%95.21%95.53%96.00%96.43%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17204 - 95.58% 609,458$24,987,764$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
45,581,285$ 44,953,185$ 12,640,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
44,953,185$ 40,836,896$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 265,525$ 265,525$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
310,629$ 44,953,185$ 36,056,220$ 35,745,591$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Josh BaileyAGE:29PO:69OV:71
Jake DeBruskAGE:22PO:83OV:70
Artem AnisimovAGE:31PO:55OV:70
Ondrej PalatAGE:28PO:41OV:70
Evan RodriguesAGE:25PO:43OV:67
Par LindholmAGE:27PO:36OV:64
Alexander NylanderAGE:21PO:87OV:61
Taro HiroseAGE:23PO:64OV:60
Carl SoderbergAGE:33PO:38OV:74
Jeff CarterAGE:34PO:46OV:72
Artem AnisimovAGE:31PO:55OV:70
Nick BoninoAGE:31PO:38OV:70
Evan RodriguesAGE:25PO:43OV:67
Mason AppletonAGE:23PO:56OV:64
Par LindholmAGE:27PO:36OV:64
David UllstromAGE:30PO:55OV:62
Alexander NylanderAGE:21PO:87OV:61
Trevor SmithAGE:34PO:51OV:61
Josh BaileyAGE:29PO:69OV:71
Jake DeBruskAGE:22PO:83OV:70
Artem AnisimovAGE:31PO:55OV:70
Kyle OkposoAGE:31PO:68OV:69
Cal ClutterbuckAGE:31PO:40OV:68
Evan RodriguesAGE:25PO:43OV:67
*Taylor RaddyshAGE:21PO:77OV:63
Alexander NylanderAGE:21PO:87OV:61
Jens LookeAGE:22PO:66OV:58
Anthony PelusoAGE:30PO:47OV:58

Défense #1Défense #2Gardien
Jay BouwmeesterAGE:35PO:43OV:72
Dan GirardiAGE:35PO:25OV:72
Ben LovejoyAGE:35PO:25OV:71
Troy StecherAGE:25PO:42OV:70
Kevan MillerAGE:31PO:27OV:70
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:71

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
Curtis HallFlorida Panthers
Evgeny SvechnikovFlorida Panthers
Markus RuusuFlorida Panthers11153
Veeti VainioFlorida Panthers11137

Choix au Repêchage

Année R1R2R3R4R5R6
15Bos Flo Flo
16Was Flo
17Flo Flo Flo Flo
18Flo Flo Flo Flo Flo Flo
19Flo Flo Flo Flo Flo



[2020-03-27 09:38:10] - Zbynek Michalek has been deleted from Florida Panthers.
[2020-03-27 09:38:07] - Scott Hartnell has been deleted from Florida Panthers.
[2020-03-27 09:38:03] - Reid Petryk has been deleted from Florida Panthers.
[2020-03-27 09:38:00] - Mark Zengerle has been deleted from Florida Panthers.
[2020-03-27 09:37:58] - Joren Van Pottelberghe has been deleted from Florida Panthers.
[2020-03-27 09:37:55] - John Mitchell has been deleted from Florida Panthers.
[2020-03-27 09:37:52] - Jannik Hansen has been deleted from Florida Panthers.
[2020-03-27 09:37:48] - Andrew Bodnarchuk has been deleted from Florida Panthers.
[2020-03-27 09:37:46] - Alex Gudbranson has been deleted from Florida Panthers.
[2020-03-27 09:37:44] - Adam Chapie has been deleted from Florida Panthers.
[2020-03-27 09:37:41] - Adam Carlson has been deleted from Florida Panthers.
[2020-03-23 05:11:17] - TRADE : From Florida Panthers to Boston Bruins : Tyler Ennis (65).
[2020-03-19 10:51:21] - TRADE : From Florida Panthers to Phoenix Coyotes : Ryan Kesler (67).
[2020-03-15 05:32:20] - TRADE : From Florida Panthers to Phoenix Coyotes : Luke Schenn (67).
[2020-02-17 04:59:33] - TRADE : From Toronto Maple Leafs to Florida Panthers : Dan Girardi (72).
[2020-02-17 04:59:33] - TRADE : From Florida Panthers to Toronto Maple Leafs : Y:19-RND:3-Flo.
[2020-01-23 15:25:39] - TRADE : From Florida Panthers to Nashville Predators : Y:16-RND:2-Chi, Y:17-RND:3-Flo, Y:17-RND:6-Flo.
[2020-01-23 15:25:39] - TRADE : From Nashville Predators to Florida Panthers : Jeff Carter (72).
[2019-11-03 10:21:34] - TRADE : From Florida Panthers to New York Rangers : Y:15-RND:3-Pit.
[2019-11-03 10:21:34] - TRADE : From New York Rangers to Florida Panthers : Y:15-RND:3-Flo.
[2019-11-03 10:20:34] - TRADE : From Florida Panthers to New York Rangers : Y:15-RND:3-Flo, Y:15-RND:4-Flo, Y:15-RND:6-Tor.
[2019-11-03 10:20:34] - TRADE : From New York Rangers to Florida Panthers : Jay Bouwmeester (72).



[2020-04-03 10:08:46] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-30 15:10:40] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-27 09:38:10] Zbynek Michalek has been deleted from Florida Panthers.
[2020-03-27 09:38:07] Scott Hartnell has been deleted from Florida Panthers.
[2020-03-27 09:38:03] Reid Petryk has been deleted from Florida Panthers.
[2020-03-27 09:38:00] Mark Zengerle has been deleted from Florida Panthers.
[2020-03-27 09:37:58] Joren Van Pottelberghe has been deleted from Florida Panthers.
[2020-03-27 09:37:55] John Mitchell has been deleted from Florida Panthers.
[2020-03-27 09:37:52] Jannik Hansen has been deleted from Florida Panthers.
[2020-03-27 09:37:48] Andrew Bodnarchuk has been deleted from Florida Panthers.
[2020-03-27 09:37:46] Alex Gudbranson has been deleted from Florida Panthers.
[2020-03-27 09:37:44] Adam Chapie has been deleted from Florida Panthers.
[2020-03-27 09:37:41] Adam Carlson has been deleted from Florida Panthers.
[2020-03-27 09:10:14] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-26 05:15:22] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-24 10:07:57] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-23 05:11:17] TRADE : From Florida Panthers to Boston Bruins : Tyler Ennis (65).
[2020-03-23 05:09:58] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-22 08:18:30] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-22 08:18:30] Tyler Ennis of Florida Panthers was sent down to farm.
[2020-03-22 08:18:21] Florida Panthers placed Tyler Ennis on waivers.
[2020-03-21 08:59:56] Carl Soderberg from Florida Panthers completes suspension
[2020-03-19 10:51:21] TRADE : From Florida Panthers to Phoenix Coyotes : Ryan Kesler (67).
[2020-03-19 10:47:45] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-17 10:25:00] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-17 10:24:53] Florida Panthers placed Ryan Kesler on waivers.
[2020-03-15 05:32:20] TRADE : From Florida Panthers to Phoenix Coyotes : Luke Schenn (67).
[2020-03-14 05:21:09] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-14 05:21:05] Florida Panthers placed Andrej Sekera on waivers.
[2020-03-14 05:21:00] Florida Panthers placed Luke Schenn on waivers.
[2020-03-13 11:07:09] Florida Panthers roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-03-12 08:59:25] Carl Soderberg from Florida Panthers suspended for 5 game(s)
[2020-03-12 08:57:41] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-10 08:43:31] Tyler Ennis from Florida Panthers is back from Bruised Right Leg Injury.
[2020-03-10 08:43:31] Game 1075 - Tyler Ennis from Florida Panthers is injured (Bruised Right Leg) and is out for 1 days.
[2020-03-08 07:31:12] Dan Girardi from Florida Panthers is back from Back Injury.
[2020-03-07 13:45:23] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5
[2020-03-04 11:47:34] Successfully loaded Florida Panthers lines done with STHS Client - 3.2.0.5



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
148236330811320219394117140601310492124119190210098101-3942023655671779615310219973573570737217760970918953124915.71%3085083.77%01371267551.25%1370268151.10%608117651.70%1960134719486141047522
Total Saison Régulière8236330811320219394117140601310492124119190210098101-3942023655671779615310219973573570737217760970918953124915.71%3085083.77%01371267551.25%1370268151.10%608117651.70%1960134719486141047522