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Florida Panthers
GP: 12 | W: 5 | L: 7 | OTL: 0 | P: 15
GF: 30 | GA: 33 | PP%: 13.73% | PK%: 85.71%
DG: Eric E | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #169 vs Philadelphia Flyers

Centre de jeu
Hamilton Mustangs
8-3-1, 24pts
3
1 Florida Panthers
5-7-0, 15pts
Team Stats
W7SéquenceW1
6-1-0Fiche domicile3-4-0
2-2-1Fiche visiteur2-3-0
7-2-1Derniers 10 matchs3-7-0
3.17Buts par match 2.50
2.25Buts contre par match 2.75
19.05%Pourcentage en avantage numérique13.73%
81.40%Pourcentage en désavantage numérique85.71%
Pittsburgh Penguins
6-6-0, 15pts
3
4 Florida Panthers
5-7-0, 15pts
Team Stats
L1SéquenceW1
2-3-0Fiche domicile3-4-0
4-3-0Fiche visiteur2-3-0
5-5-0Derniers 10 matchs3-7-0
3.08Buts par match 2.50
3.33Buts contre par match 2.75
12.50%Pourcentage en avantage numérique13.73%
80.00%Pourcentage en désavantage numérique85.71%
Florida Panthers
5-7-0, 15pts
Jour 28
Philadelphia Flyers
4-6-2, 14pts
Statistiques d’équipe
W1SéquenceOTL1
3-4-0Fiche domicile3-2-1
2-3-0Fiche visiteur1-4-1
3-7-010 derniers matchs4-4-2
2.50Buts par match 2.67
2.75Buts contre par match 2.67
13.73%Pourcentage en avantage numérique19.05%
85.71%Pourcentage en désavantage numérique76.67%
Florida Panthers
5-7-0, 15pts
Jour 32
Montreal Canadiens
8-3-1, 25pts
Statistiques d’équipe
W1SéquenceW1
3-4-0Fiche domicile4-3-0
2-3-0Fiche visiteur4-0-1
3-7-010 derniers matchs8-1-1
2.50Buts par match 3.92
2.75Buts contre par match 3.92
13.73%Pourcentage en avantage numérique25.58%
85.71%Pourcentage en désavantage numérique84.21%
Florida Panthers
5-7-0, 15pts
Jour 34
Ottawa Senators
4-5-3, 15pts
Statistiques d’équipe
W1SéquenceL1
3-4-0Fiche domicile3-1-2
2-3-0Fiche visiteur1-4-1
3-7-010 derniers matchs2-5-3
2.50Buts par match 2.67
2.75Buts contre par match 2.67
13.73%Pourcentage en avantage numérique17.02%
85.71%Pourcentage en désavantage numérique81.67%
Meneurs d'équipe
Sebastian AhoButs
Sebastian Aho
7
Passes
Alex Tuch
6
Points
Alex Tuch
9
Plus/Moins
Reese Johnson
5
Victoires
Jeremy Swayman
5
Pourcentage d’arrêts
Alex Nedeljkovic
0.917

Statistiques d’équipe
Buts pour
30
2.50 GFG
Tirs pour
380
31.67 Avg
Pourcentage en avantage numérique
13.7%
7 GF
Début de zone offensive
40.1%
Buts contre
33
2.75 GAA
Tirs contre
379
31.58 Avg
Pourcentage en désavantage numérique
85.7%%
7 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralEric E
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomBBantT Center
Capacité18,000
Assistance14,612
Billets de saison6,840


Informations de la formation

Équipe Pro22
Équipe Mineure27
Limite contact 49 / 250
Espoirs30


Finance

Revenu annuel à ce jour7,544,658$
Dépenses annuelles à ce jour7,740,118$
Revenus de la saison estimés35,567,673$
Dépenses de la saison estimées46,122,314$
Compte bancaire actuel57,340,847$
Compte bancaire projeté46,988,266$


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 SPÂgeContratSalaire
1Anthony Duclair0X100.0077478496639391806889907386787755408002944,200,000$
2Jake Debrusk0X100.0085508791679290837190907082778355408002813,940,000$
3Sebastian Aho0X100.0074408799589390826689906987747640408002725,750,000$
4Christian Dvorak0X100.0084498485718791779485807277787855407702945,000,000$
5Alex Tuch0X100.0082528780908681807182787174788155407602942,500,000$
6Andreas Athanasiou0X100.0070478285738687746578877477797755407603031,500,000$
7Jared McCann0X100.0071478082718586758282807274787955407502942,650,000$
8Morgan Geekie0X100.00675079837385937190757370737370554073N02632,000,000$
9Reese Johnson0X99.09995278808078866680716774707376554072N02611,000,000$
10Dylan Gambrell0X100.008445838268868966867068697177775540710281800,000$
11Mathieu Joseph0X100.008147807878818567657069746977735540710281800,000$
12Mike Hardman0X100.009757857482777767777068746973745540710263750,000$
13Bowen Byram0X100.0090528189838896785081748174707255407902412,000,000$
14Devon Toews0X100.0056428781789595715082698767809055407803131,000,000$
15Brandon Montour0X100.0080477282789090745278688067807055407603123,000,000$
16Alex Pietrangelo0X100.0056488673829496725078787866828455407503522,250,000$
17Jaccob Slavin0X100.0056469475879092715076648367788155407503122,100,000$
18Jeremy Lauzon0X100.00935570748781826950736379627775554075N02811,000,000$
Rayé
1MacKenzie Entwistle0X100.009046817876798263726868706873805540700251800,000$
2Dylan Samberg0X100.006750818086778368507164746373725540720263700,000$
Équipe Mineure
1Josh Anderson0X100.0086607164978581676868777167807555407103112,180,000$
2Scott Wilson0X100.0090417084558181716274746575816655407103311,559,999$
3Tanner Pearson0X100.0079487974758081706772737169807755407103213,000,000$
4William Carrier0X100.0094536866848079717375737072797655407103012,183,999$
5Ryan Spooner0X100.0059427581588783716976726575816255407003311,559,999$
6Brendan Lemieux0X100.009370466682828266697067726478725540690291624,999$
7Nic Dowd0X100.0085447268758084648467667165878055406903511,559,999$
8PATRIK KARLKVIST0X100.005745696281606076707773677080805240680331251,000$
9ALEXANDER STEEVES0X100.005038587568606078666981637866565040670251255,100$
10Barclay Goodrow0X100.0086526362837985618165637062827555406703211,100,000$
11Byron Froese0X100.006345796287697860756159736086825540660341750,000$
12Marc Gatcomb0X100.008747747280707060656167666673735540660254750,000$
13Owen Power (R)0X100.0056518777999599775083708067658055407702222,000,000$
14Kaiden Guhle (R)0X100.0076557777828484705075687865686855407302331,250,000$
15Ryan Suter0X100.006445786482808765506962795899855540720401501,000$
16Dennis Gilbert0X100.0094785069927574665067617260707255407102811,200,000$
17Vincent Desharnais0X100.007356656594737968507262786078725540710294650,000$
18Marc Del Gaizo0X100.006545808173757564506963716373835540700253500,000$
19Adam Brooks0X100.006235847964737262646564706778637540660291500,000$
20Carson Meyer0X100.008240787266656660526062726476675540650271500,000$
21Pavol Regenda0X100.005347796685697760696261726270665540650254650,000$
22Alexander True0X100.008445747080647260665659706270705540640271700,000$
23Andrew Bodnarchuk0X100.007344807175757468517064676285825540690361500,000$
24Sam Malinski0X100.005542797968697768507065746475635540680263500,000$
MOYENNE D’ÉQUIPE99.98764977767880826965737073697775554072
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 SPÂgeContratSalaire
1Jeremy Swayman098.008285898484838485868382736355408002632,000,000$
2Alex Nedeljkovic0100.008078837883818284848182776255407802941,700,000$
Rayé
Équipe Mineure
1Jhonas Enroth0100.00896870747578787574787787685640740371600,000$
2Joey Daccord0100.00796874827674757776747475605540730283500,000$
3MIROSLAV SVOBODA096.00816060807473747474737475625240710301250,000$
MOYENNE D’ÉQUIPE98.8082727580787879797978787763554075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Alex TuchFlorida PanthersLW123691551211398137.69%817114.270332380001120125.00%1241001.0500010101
2Andreas AthanasiouFlorida PanthersRW12369-210010172262113.64%423419.561232370001400066.67%1234000.7700000100
3Anthony DuclairFlorida PanthersLW12628-220261140142215.00%623719.771126520002182045.83%2492000.6700000012
4Sebastian AhoFlorida PanthersLW12718-46012214392316.28%322919.16112848000000041.18%1775000.7000000000
5Jake DebruskFlorida PanthersRW12156-5202594715222.13%523419.541231049000000029.17%2493000.5100000000
6Jared McCannFlorida PanthersC12156120141218795.56%220617.24112345000001047.08%24032000.5800000010
7Christian DvorakFlorida PanthersC12055-81003418225160%821918.28022340000060052.29%218112000.4600000000
8Dylan GambrellFlorida PanthersC122350115514137615.38%0978.1200001000012054.17%4812001.0300100100
9Morgan GeekieFlorida PanthersC12145395713247144.17%215512.93000033000000050.60%8361000.6400001010
10Bowen ByramFlorida PanthersD12224-31352324209810.00%928924.12213345000028000%0712000.2800010010
11Mike HardmanFlorida PanthersLW1213400012715766.67%51169.67000000000210058.82%1723000.6900000010
12Reese JohnsonFlorida PanthersRW122245951620163712.50%215112.60000000001390041.54%6516000.5300001001
13Brandon MontourFlorida PanthersD10033514011163770%1115115.1600001000021000%052000.4000000000
14Devon ToewsFlorida PanthersD120220275117121170%1221818.2000004000145000%0215000.1800001000
15Jaccob SlavinFlorida PanthersD120223003146240%1821818.2100000000148000%017000.1800000000
16Mathieu JosephFlorida PanthersRW12112-16099155106.67%11159.65000010001200033.33%331000.3500000001
17Alex PietrangeloFlorida PanthersD12011-622104249550%1025821.5000033800003000%044000.0800011000
18Jeremy LauzonFlorida PanthersD1201126023159310%1117414.5800000000013000%003000.1100000000
19Dylan SambergFlorida PanthersD2000-420227110%13316.600000100000000%00100000000000
Statistiques d’équipe totales ou en moyenne216305484-15156402492743801312027.89%118351316.27713204044000083225148.36%7637876000.4800134355
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
1Jeremy SwaymanFlorida Panthers95400.9152.675392024282125110093000
2Alex NedeljkovicFlorida Panthers30300.9172.681790089645000039010
Statistiques d’équipe totales ou en moyenne125700.9152.6771820323781701101212010


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex NedeljkovicFlorida PanthersG291996-01-07USANo203 Lbs6 ft0NoNoTrade2025-12-16NoNo42025-10-17FalseFalsePro & Farm1,700,000$1,455,851$0$0$No1,700,000$1,700,000$1,700,000$------1,700,000$1,700,000$1,700,000$------NoNoNo------Lien
Alex Pietrangelo (contrat à 1 volet)Florida PanthersD351990-01-18CANNo214 Lbs6 ft3NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm2,250,000$1,926,862$0$0$No2,250,000$--------2,250,000$--------No--------Lien
Alex TuchFlorida PanthersLW291996-05-10USANo218 Lbs6 ft4NoNoFree AgentNoNo42025-10-17FalseFalsePro & Farm2,500,000$2,140,957$0$0$No2,500,000$2,500,000$2,500,000$------2,500,000$2,500,000$2,500,000$------NoNoNo------Lien
Andreas AthanasiouFlorida PanthersRW301994-08-06CANNo190 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$1,284,574$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Anthony Duclair (contrat à 1 volet)Florida PanthersLW291995-08-26CANNo196 Lbs5 ft11NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm4,200,000$3,596,809$0$0$No4,200,000$4,200,000$4,200,000$------4,200,000$4,200,000$4,200,000$------NoNoNo------Lien
Bowen ByramFlorida PanthersD242001-06-13CANNo190 Lbs6 ft1NoNoTrade2025-12-19NoNo12025-09-30FalseFalsePro & Farm2,000,000$1,712,766$0$0$No---------------------------Lien
Brandon Montour (contrat à 1 volet)Florida PanthersD311994-04-11CANNo194 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,000,000$2,569,149$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Christian Dvorak (contrat à 1 volet)Florida PanthersC291996-02-02USANo201 Lbs6 ft1NoNoTrade2025-12-19NoNo42025-10-13FalseFalsePro & Farm5,000,000$4,281,915$0$0$No5,000,000$5,000,000$5,000,000$------5,000,000$5,000,000$5,000,000$------NoNoNo------Lien
Devon ToewsFlorida PanthersD311994-02-21CANNo192 Lbs6 ft1NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm1,000,000$856,383$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Dylan GambrellFlorida PanthersC281996-08-26USANo185 Lbs5 ft11NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm800,000$685,106$0$0$No---------------------------Lien
Dylan SambergFlorida PanthersD261999-01-24USANo216 Lbs6 ft4NoNoFree AgentNoNo32025-10-24FalseFalsePro & Farm700,000$599,468$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Jaccob SlavinFlorida PanthersD311994-05-01USANo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,100,000$1,798,404$0$0$No2,100,000$--------2,100,000$--------No--------Lien
Jake Debrusk (contrat à 1 volet)Florida PanthersRW281996-10-17CANNo196 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,940,000$3,374,149$0$0$No---------------------------Lien
Jared McCannFlorida PanthersC291996-05-31CANNo185 Lbs6 ft1NoNoFree AgentNoNo42025-10-17FalseFalsePro & Farm2,650,000$2,269,415$0$0$No2,650,000$2,650,000$2,650,000$------2,650,000$2,650,000$2,650,000$------NoNoNo------Lien
Jeremy Lauzon (contrat à 1 volet)Florida PanthersD281997-04-28CANNo225 Lbs6 ft3YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only1,000,000$856,383$0$0$No---------------------------Lien
Jeremy Swayman (contrat à 1 volet)Florida PanthersG261998-11-24USANo194 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$1,712,766$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
MacKenzie EntwistleFlorida PanthersLW251999-07-14CANNo205 Lbs6 ft3NoNoTrade2025-12-15NoNo12025-09-30FalseFalsePro & Farm800,000$685,106$0$0$No---------------------------Lien
Mathieu JosephFlorida PanthersRW281997-02-09CANNo190 Lbs6 ft1NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm800,000$685,106$0$0$No---------------------------Lien
Mike HardmanFlorida PanthersLW261999-02-05USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm750,000$642,287$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Morgan GeekieFlorida PanthersC261998-07-20CANNo201 Lbs6 ft3YesNoFree AgentNoNo32025-10-25FalseFalsePro Only2,000,000$1,712,766$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------YesYes-------Lien
Reese JohnsonFlorida PanthersRW261998-07-10CANNo192 Lbs6 ft1YesNoFree AgentNoNo12025-10-25FalseFalsePro Only1,000,000$856,383$0$0$No---------------------------Lien
Sebastian Aho (contrat à 1 volet)Florida PanthersLW271997-07-26FINNo176 Lbs6 ft0NoNoTrade2025-12-19NoNo22025-09-30FalseFalsePro & Farm5,750,000$4,924,202$0$0$No5,750,000$--------5,750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.23199 Lbs6 ft22.412,156,364$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
47,440,000$37,100,000$24,000,000$16,050,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sebastian AhoChristian DvorakJake Debrusk32014
2Anthony DuclairJared McCannAndreas Athanasiou30023
3Alex TuchMorgan GeekieReese Johnson26023
4Mike HardmanDylan GambrellMathieu Joseph12032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bowen ByramAlex Pietrangelo38023
2Devon ToewsBrandon Montour34032
3Jaccob SlavinJeremy Lauzon28032
4Bowen ByramDevon Toews0023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sebastian AhoJared McCannJake Debrusk60005
2Alex TuchChristian DvorakAndreas Athanasiou40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bowen ByramAnthony Duclair60014
2Morgan GeekieAlex Pietrangelo40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Reese JohnsonAndreas Athanasiou60041
2Mike HardmanMathieu Joseph40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon ToewsJaccob Slavin60050
2Bowen ByramBrandon Montour40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Reese Johnson60050Devon ToewsJaccob Slavin60050
2Andreas Athanasiou40050Bowen ByramBrandon Montour40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christian DvorakSebastian Aho60014
2Jared McCannJake Debrusk40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bowen ByramAlex Pietrangelo60023
2Devon ToewsBrandon Montour40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sebastian AhoChristian DvorakJake DebruskBowen ByramAlex Pietrangelo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairReese JohnsonAndreas AthanasiouDevon ToewsJaccob Slavin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Tuch, Anthony Duclair, Jake DebruskJared McCann, Andreas AthanasiouAnthony Duclair
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Bowen Byram, Devon Toews, Alex PietrangeloDevon ToewsJeremy Lauzon, Alex Pietrangelo
Tirs de pénalité
Sebastian Aho, Anthony Duclair, Jake Debrusk, Christian Dvorak, Andreas Athanasiou
Gardien
#1 : Alex Nedeljkovic, #2 : Jeremy Swayman
Lignes d’attaque personnalisées en prolongation
Sebastian Aho, Anthony Duclair, Jake Debrusk, Christian Dvorak, Andreas Athanasiou, Jared McCann, Alex Tuch, Morgan Geekie, Reese Johnson, Dylan Gambrell
Lignes de défense personnalisées en prolongation
Bowen Byram, Devon Toews, Alex Pietrangelo, Jaccob Slavin, Brandon Montour


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
TotalDomicileVisiteur
# 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
1Boston Bruins1010000024-2000000000001010000024-200.000246001100341212100391111176116.67%3166.67%014230646.41%15129551.19%7616246.91%2113238157
2California Golden Seals1010000013-21010000013-20000000000000.00012310100034111112031131014600.00%5180.00%014230646.41%15129551.19%7616246.91%2313199168
3Carolina Hurricanes1010000023-11010000023-10000000000000.000246002000291388038171714100.00%60100.00%014230646.41%15129551.19%7616246.91%2113239146
4Hamilton Mustangs1010000013-21010000013-20000000000000.000112000010275101202912628300.00%30100.00%014230646.41%15129551.19%7616246.91%1910238178
5New Jersey Devils11000000321000000000001100000032131.0003580001203461513032710137114.29%50100.00%014230646.41%15129551.19%7616246.91%2112209178
6New York Islanders11000000523110000005230000000000031.0005101500221036161010020713185120.00%4175.00%014230646.41%15129551.19%7616246.91%2213209178
7New York Rangers11000000431000000000001100000043131.0004711002110216690301112253133.33%6183.33%014230646.41%15129551.19%7616246.91%1911238178
8Pittsburgh Penguins11000000431110000004310000000000031.000459002200309165039714194250.00%70100.00%014230646.41%15129551.19%7616246.91%20102110187
9Quebec Nordiques1010000024-2000000000001010000024-200.0002460002003518125030134324400.00%4250.00%014230646.41%15129551.19%7616246.91%2212199178
10San Jose Sharks1010000001-1000000000001010000001-100.00000000000023371302851127400.00%30100.00%014230646.41%15129551.19%7616246.91%21111891910
11Seattle Kraken11000000523110000005230000000000031.00051015001220378151402579217114.29%2150.00%014230646.41%15129551.19%7616246.91%2112209179
12Tampa Bay Lightning1010000013-21010000013-20000000000000.000123001000401511140388229100.00%10100.00%014230646.41%15129551.19%7616246.91%2314208168
Total1257000003033-37340000019190523000001114-3150.41730548410121170380122133125037911815824951713.73%49785.71%014230646.41%15129551.19%7616246.91%259149255111204101
_Since Last GM Reset1257000003033-37340000019190523000001114-3150.41730548410121170380122133125037911815824951713.73%49785.71%014230646.41%15129551.19%7616246.91%259149255111204101
_Vs Conference945000002427-3523000001314-1422000001113-2120.44424426600109502861001008602959312818734617.65%39587.18%014230646.41%15129551.19%7616246.91%1921121968215172
_Vs Division6330000017170312000008803210000099090.5001732490085401946862640197616511623417.39%25388.00%014230646.41%15129551.19%7616246.91%13078131549846

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1215W130548438037911815824910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125700003033
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400001919
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001114
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
51713.73%49785.71%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
1221331250121170
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
14230646.41%15129551.19%7616246.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
259149255111204101


Derniers matchs 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
15Florida Panthers3New Jersey Devils2WSommaire du match
319Florida Panthers4New York Rangers3WSommaire du match
533Florida Panthers2Quebec Nordiques4LSommaire du match
746New York Islanders2Florida Panthers5WSommaire du match
960Florida Panthers2Boston Bruins4LSommaire du match
1174Tampa Bay Lightning3Florida Panthers1LSommaire du match
1389Carolina Hurricanes3Florida Panthers2LSommaire du match
16111California Golden Seals3Florida Panthers1LSommaire du match
17120Florida Panthers0San Jose Sharks1LSommaire du match
20138Seattle Kraken2Florida Panthers5WSommaire du match
24152Hamilton Mustangs3Florida Panthers1LSommaire du match
26160Pittsburgh Penguins3Florida Panthers4WSommaire du match
28169Florida Panthers-Philadelphia Flyers-
32189Florida Panthers-Montreal Canadiens-
34197Florida Panthers-Ottawa Senators-
37211Toronto Maple Leafs-Florida Panthers-
40225Florida Panthers-Toronto Maple Leafs-
43240Ottawa Senators-Florida Panthers-
46254Montreal Canadiens-Florida Panthers-
49268Philadelphia Flyers-Florida Panthers-
53286Florida Panthers-Pittsburgh Penguins-
56300Hamilton Mustangs-Florida Panthers-
60322Vegas Golden Knights-Florida Panthers-
62335Winnipeg Jets-Florida Panthers-
64348Florida Panthers-Chicago Blackhawks-
66359Florida Panthers-Detroit Red Wings-
68368Florida Panthers-Tampa Bay Lightning-
69380Boston Bruins-Florida Panthers-
72397New York Islanders-Florida Panthers-
74417Quebec Nordiques-Florida Panthers-
75422Florida Panthers-Anaheim Mighty Ducks-
78438Vancouver Canucks-Florida Panthers-
80452Los Angeles Kings-Florida Panthers-
83467Florida Panthers-Montreal Canadiens-
85477Florida Panthers-Ottawa Senators-
88491Toronto Maple Leafs-Florida Panthers-
91508Florida Panthers-Columbus Blue Jackets-
94529Columbus Blue Jackets-Florida Panthers-
96543St Louis Blues-Florida Panthers-
97550Florida Panthers-St Louis Blues-
99564Florida Panthers-Edmonton Oilers-
101578Colorado Avalanche-Florida Panthers-
103590New York Rangers-Florida Panthers-
106604New Jersey Devils-Florida Panthers-
109619Florida Panthers-Carolina Hurricanes-
113637Florida Panthers-Hamilton Mustangs-
116653Pittsburgh Penguins-Florida Panthers-
120670Florida Panthers-Philadelphia Flyers-
122684Chicago Blackhawks-Florida Panthers-
123695Florida Panthers-Winnipeg Jets-
125710Florida Panthers-Vegas Golden Knights-
128726Florida Panthers-Seattle Kraken-
130742San Jose Sharks-Florida Panthers-
132755Florida Panthers-California Golden Seals-
134760Tampa Bay Lightning-Florida Panthers-
136774Florida Panthers-Boston Bruins-
138788Florida Panthers-New York Islanders-
141803Florida Panthers-Quebec Nordiques-
143814Detroit Red Wings-Florida Panthers-
145828Anaheim Mighty Ducks-Florida Panthers-
148843Florida Panthers-Vancouver Canucks-
151861Florida Panthers-Los Angeles Kings-
153870Edmonton Oilers-Florida Panthers-
155883Florida Panthers-Colorado Avalanche-
159908Montreal Canadiens-Florida Panthers-
161919Ottawa Senators-Florida Panthers-
163932Florida Panthers-Toronto Maple Leafs-
165947Philadelphia Flyers-Florida Panthers-
167965Florida Panthers-Pittsburgh Penguins-
169978Florida Panthers-Hamilton Mustangs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172989Florida Panthers-Tampa Bay Lightning-
1741003Boston Bruins-Florida Panthers-
1761017Florida Panthers-New York Islanders-
1781034Quebec Nordiques-Florida Panthers-
1801041Florida Panthers-New York Rangers-
1811055New York Rangers-Florida Panthers-
1831069Florida Panthers-New Jersey Devils-
1841083New Jersey Devils-Florida Panthers-
1861097Carolina Hurricanes-Florida Panthers-
1871112Florida Panthers-Carolina Hurricanes-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance35,69325,63911,44122,2477,262
Attendance PCT85.84%75.36%82.55%80.26%82.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 14612 - 81.18% 1,077,808$7,544,658$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
7,740,118$ 53,857,099$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 7,740,118$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
35,567,673$ 161 286,474$ 46,122,314$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
47,848,717$ 57,340,847$ 46,988,266$



Charte de profondeur

Ailier gaucheCentreAilier droit
Anthony DuclairAGE:29PO:55OV:80
Sebastian AhoAGE:27PO:40OV:80
Alex TuchAGE:29PO:55OV:76
Mike HardmanAGE:26PO:55OV:71
Tanner PearsonAGE:32PO:55OV:71
MacKenzie EntwistleAGE:25PO:55OV:70
Ryan SpoonerAGE:33PO:55OV:70
PATRIK KARLKVISTAGE:33PO:52OV:68
Marc GatcombAGE:25PO:55OV:66
Carson MeyerAGE:27PO:55OV:65
Pavol RegendaAGE:25PO:55OV:65
Christian DvorakAGE:29PO:55OV:77
Jared McCannAGE:29PO:55OV:75
Morgan GeekieAGE:26PO:55OV:73
Dylan GambrellAGE:28PO:55OV:71
William CarrierAGE:30PO:55OV:71
Nic DowdAGE:35PO:55OV:69
Barclay GoodrowAGE:32PO:55OV:67
Byron FroeseAGE:34PO:55OV:66
Jake DebruskAGE:28PO:55OV:80
Andreas AthanasiouAGE:30PO:55OV:76
Reese JohnsonAGE:26PO:55OV:72
Josh AndersonAGE:31PO:55OV:71
Mathieu JosephAGE:28PO:55OV:71
Scott WilsonAGE:33PO:55OV:71
Brendan LemieuxAGE:29PO:55OV:69
ALEXANDER STEEVESAGE:25PO:50OV:67
Adam BrooksAGE:29PO:75OV:66
Alexander TrueAGE:27PO:55OV:64

Défense #1Défense #2Gardien
Bowen ByramAGE:24PO:55OV:79
Devon ToewsAGE:31PO:55OV:78
Owen Power (R)AGE:22PO:55OV:77
Brandon MontourAGE:31PO:55OV:76
Alex PietrangeloAGE:35PO:55OV:75
Jaccob SlavinAGE:31PO:55OV:75
Jeremy LauzonAGE:28PO:55OV:75
Kaiden Guhle (R)AGE:23PO:55OV:73
Dylan SambergAGE:26PO:55OV:72
Ryan SuterAGE:40PO:55OV:72
Dennis GilbertAGE:28PO:55OV:71
Vincent DesharnaisAGE:29PO:55OV:71
Marc Del GaizoAGE:25PO:55OV:70
Andrew BodnarchukAGE:36PO:55OV:69
Sam MalinskiAGE:26PO:55OV:68
Jeremy SwaymanAGE:26PO:55OV:80
Alex NedeljkovicAGE:29PO:55OV:78
Jhonas EnrothAGE:37PO:56OV:74
Joey DaccordAGE:28PO:55OV:73
MIROSLAV SVOBODAAGE:30PO:52OV:71

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
0x LTCsFlorida Panthers000Lien
0x RFA Tag (Jake Debrusk Y26)Florida Panthers000Lien
0x TC PTSFlorida Panthers000Lien
1 000 000 NSHL25 Waiver BucksFlorida Panthers00
1x NSHL26 ODW ClaimFlorida Panthers00
Alex BumpFlorida Panthers25980Lien
Austin BurnevikFlorida Panthers251960Lien
Benjamin KingFlorida Panthers221380Lien
Carter SotheranFlorida Panthers241090Lien
Connor GeekieFlorida Panthers22100Lien
Devon LeviFlorida Panthers21550Lien
Drew FortescueFlorida Panthers251720Lien
Ivan IvanFlorida Panthers241410Lien
Jack DevineFlorida Panthers24830Lien
Jake O'BrienFlorida Panthers2570Lien
James MalatestaFlorida Panthers241000Lien
Jimmy LombardiFlorida Panthers251340Lien
Joey WillisFlorida Panthers251760Lien
Ludvig JanssonFlorida Panthers241730Lien
Lukas SvejkovskyFlorida Panthers221420Lien
Maxim GroshevFlorida Panthers24610Lien
Maxim SchaferFlorida Panthers251320Lien
Mikhail IlyinFlorida Panthers241050Lien
Nathan BehmFlorida Panthers25690Lien
Oiva KeskinenFlorida Panthers241580Lien
Patrick GuayFlorida Panthers221650Lien
Theo WallbergFlorida Panthers241540Lien
Ville KoivunenFlorida Panthers217802025-12-16Lien
Will ReynoldsFlorida Panthers251000Lien
Xavier BourgaultFlorida Panthers21230Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Florida Panthers Historique de transactions

[2026-02-07 2:08:52 PM] New Record for Team's Most Shots Blocked (17) in 1 Game for Florida Panthers!
[2026-02-05 12:28:02 PM] New Record for Team's Most Hits (29) in 1 Game for Florida Panthers!
[2026-02-05 12:28:02 PM] New Record for Team's Most Shots (40) in 1 Game for Florida Panthers!
[2026-02-01 11:08:41 AM] New Record for Team's Most Shots (36) in 1 Game for Florida Panthers!
[2026-02-01 11:08:41 AM] New Record for Team's Most Points (15) in 1 Game for Florida Panthers!
[2026-02-01 11:08:41 AM] New Record for Team's Most Assists (10) in 1 Game for Florida Panthers!
[2026-02-01 11:08:41 AM] New Record for Team's Most Goals (5) in 1 Game for Florida Panthers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Penalties Minutes (43) in 1 Game for Florida Panthers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Shots Blocked (13) in 1 Game for Florida Panthers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Shots (35) in 1 Game for Florida Panthers!



Pas de blessure ou de suspension.


Florida Panthers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Florida Panthers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Florida Panthers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Florida Panthers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Florida Panthers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA