Please rotate your device to landscape mode for a better experience.
Connexion

Florida Panthers
GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 9 | GA: 7 | PP%: 41.67% | PK%: 100.00%
DG: Sebastien Charron | Morale : 51 | Moyenne d’équipe : 76
Prochains matchs #59 vs Ottawa Senators

Centre de jeu
Florida Panthers
2-1-0, 4pts
5
FINAL
4 Boston Bruins
1-2-0, 2pts
Team Stats
W2SéquenceL2
1-0-0Fiche domicile0-1-0
1-1-0Fiche visiteur1-1-0
2-1-0Derniers 10 matchs1-2-0
3.00Buts par match 3.00
2.33Buts contre par match 4.00
41.67%Pourcentage en avantage numérique15.38%
100.00%Pourcentage en désavantage numérique60.00%
Detroit Red Wings
1-1-0, 2pts
2
FINAL
4 Florida Panthers
2-1-0, 4pts
Team Stats
L1SéquenceW2
1-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-1-0Derniers 10 matchs2-1-0
3.50Buts par match 3.00
4.00Buts contre par match 2.33
25.00%Pourcentage en avantage numérique41.67%
50.00%Pourcentage en désavantage numérique100.00%
Ottawa Senators
2-1-0, 4pts
Jour 6
Florida Panthers
2-1-0, 4pts
Statistiques d’équipe
W2SéquenceW2
2-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
2-1-010 derniers matchs2-1-0
4.67Buts par match 3.00
2.33Buts contre par match 3.00
28.57%Pourcentage en avantage numérique41.67%
71.43%Pourcentage en désavantage numérique100.00%
Montreal Canadiens
1-1-0, 2pts
Jour 8
Florida Panthers
2-1-0, 4pts
Statistiques d’équipe
W1SéquenceW2
1-1-0Fiche domicile1-0-0
0-0-0Fiche visiteur1-1-0
1-1-010 derniers matchs2-1-0
3.50Buts par match 3.00
3.00Buts contre par match 3.00
25.00%Pourcentage en avantage numérique41.67%
77.78%Pourcentage en désavantage numérique100.00%
Florida Panthers
2-1-0, 4pts
Jour 10
Ottawa Senators
2-1-0, 4pts
Statistiques d’équipe
W2SéquenceW2
1-0-0Fiche domicile2-0-0
1-1-0Fiche visiteur0-1-0
2-1-010 derniers matchs2-1-0
3.00Buts par match 4.67
2.33Buts contre par match 4.67
41.67%Pourcentage en avantage numérique28.57%
100.00%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Logan CooleyButs
Logan Cooley
2
Logan CooleyPasses
Logan Cooley
4
Logan CooleyPoints
Logan Cooley
6
Mario FerraroPlus/Moins
Mario Ferraro
2
Stuart SkinnerVictoires
Stuart Skinner
2
Stuart SkinnerPourcentage d’arrêts
Stuart Skinner
0.883

Statistiques d’équipe
Buts pour
9
3.00 GFG
Tirs pour
73
24.33 Avg
Pourcentage en avantage numérique
41.7%
5 GF
Début de zone offensive
43.9%
Buts contre
7
2.33 GAA
Tirs contre
60
20.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralSebastien Charron
EntraîneurJoe Sakic
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomFLA Live Arena
Capacité19,000
Assistance0
Billets de saison17,670


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 60
Espoirs10


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible95,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial27


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,000,000$
Compte bancaire projeté20,000,000$


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 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
1Alex DeBrincatXX100.007057799172888891518188719079690528102727,875,000$
2Roope HintzXX100.006943828184888789828286778576700528102858,450,000$
3Adam LowryX100.008175777784879181777775857885870528003213,250,000$
4Jonathan HuberdeauXX100.0070467480798993865082807282888405279032510,500,000$
5Pavel BuchnevichXX100.006844818279898888628281748382720527903058,000,000$
6Lawson CrouseXX100.008265747586868981507076747782760527602824,300,000$
7Logan CooleyXX100.00714277867785768565807970835650052760211950,000$
8Casey CizikasXX100.008358727675849475837168777389790527503422,500,000$
9Jack McBainX100.008680667687848177727572757563530527402554,250,000$
10Mason AppletonXXX100.007340867679868678517371747576660527402922,900,000$
11Mathieu JosephX100.008146767776858575547367757376660527402812,950,000$
12Zach BensonXX100.00694170847384767849757071785650052720201950,000$
13K'Andre MillerX100.007646818487908482407772908068580528002557,500,000$
14Thomas HarleyX100.006842909086878087407982868662530528002414,000,000$
15Mario FerraroX100.007759738384898576407368887673690527902713,250,000$
16Scott MayfieldX100.007255737486878772406765867087770527703253,500,000$
17Artem ZubX100.007142737882898274407266887368580527602924,600,000$
18Erik GudbransonX100.006553727287878571406963796989840527503314,000,000$
Rayé
1Isac LundestromXX100.007040927579848571716965757176660477202521,300,000$
2Tomas NosekXX100.00744286738182856979676372688474047720331775,000$
3Justin BrazeauX100.007740846884767371486767706956500476902721,500,000$
4Jonathan LekkerimakiX100.00604074696975626440616261655150047630212918,333$
5Matt DumbaX100.007466647675869073406965757187770477403113,750,000$
6Jake BeanX100.006740867678858472406665757176660477302711,750,000$
Équipe Mineure
1Arthur KaliyevX100.00604280728682737140656662706858054680241775,000$
2Ben MeyersXX100.00624175686973676662636261656050054640261775,000$
3Angus CrookshankX100.00564466696166646544616256655350054610252775,000$
4Taylor WardX100.00634763636669676343615662605550054610271775,000$
5Tyler MaddenX100.005441746954676563456257566353500476002500$
6Xavier SimoneauX100.005857566757656361606253606052500476002400$
7Zach SolowX100.005749616560666561425854586054500475902600$
8Ty TullioX100.005943676562636260425753555951500475802300$
9Reilly WalshX100.005442706862696765406358646354500476202600$
10Akito HiroseX100.005541707060676259405454646053500476102600$
11Matteo PietroniroX100.005846656663656257405252625854500476002600$
12Tyson HindsX100.005944676563656362405855606050500476002200$
13Colin FelixX100.005844626364646257405252605753500475902600$
14Ryan O'RourkeX100.005945666565656361405553586051500475902300$
15Jackson DorringtonX100.006141596262585655405454615750500475802100$
MOYENNE D’ÉQUIPE100.0067487374747876725068667070676105070
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
1Stuart Skinner100.00859092939289878988898568610538202612,600,000$
2Vitek Vanecek100.00848383768581767879847968610537402911,500,000$
Rayé
1Jonathan Quick100.00688383847981798282777793860487503911,550,000$
Équipe Mineure
1Cooper Black100.0066595769646466656562545250055590241950,000$
2Nikita Tolopilo100.0070656974717172697170595250048650252775,000$
3Cameron Whitehead100.00605757595856565456585450500485302200$
MOYENNE D’ÉQUIPE100.007273747675747373747368646005168
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sakic1111111CAN5651$


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
1Logan CooleyFlorida PanthersC/RW3246-1002750340.00%15016.9822439000000150.00%400002.3600000100
2Adam LowryFlorida PanthersC3134-1206481212.50%05819.6203309000081057.97%6900001.3600000000
3Thomas HarleyFlorida PanthersD31342003550720.00%36421.4712321000000000%000001.2400000100
4Alex DeBrincatFlorida PanthersLW/RW30330008411290%04916.620223900000000%200001.2000000000
5K'Andre MillerFlorida PanthersD3112-2002050220.00%56020.0311231000001000%000000.6700000010
6Pavel BuchnevichFlorida PanthersC/LW31121003450220.00%05618.6910127000070033.33%300000.7100000000
7Jonathan HuberdeauFlorida PanthersLW/RW31010001441325.00%14816.2200017000000050.00%400100.4100000001
8Mario FerraroFlorida PanthersD310124015220250.00%36220.750000000007000%000000.3200000001
9Roope HintzFlorida PanthersC/RW31011202812118.33%14816.3200057000001062.90%6200000.4100000000
10Artem ZubFlorida PanthersD3000-300301220%56521.7000007000010000%00000000000000
11Casey CizikasFlorida PanthersC/LW3000-200331110%0248.280000000000000%10000000000000
12Erik GudbransonFlorida PanthersD3000-220242020%45016.750000000006000%00000000000000
13Jack McBainFlorida PanthersC3000-220111220%03010.2800000000070035.71%280000000000000
14Lawson CrouseFlorida PanthersLW/RW3000-120614240%03913.170000000000000%00000000000000
15Mason AppletonFlorida PanthersC/LW/RW3000-100231230%03913.2100000000000036.11%360000000000000
16Mathieu JosephFlorida PanthersRW3000-220120020%13110.5700000000070066.67%30000000000000
17Scott MayfieldFlorida PanthersD3000-340443210%35719.270002700006000%00000000000000
18Zach BensonFlorida PanthersLW/RW3000-100323110%04013.410000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne5491524-15200675873174912.33%2788016.305101521870000632151.42%21200100.5500000212
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
1Stuart SkinnerFlorida Panthers32100.8832.36178007600100030000
Statistiques d’équipe totales ou en moyenne32100.8832.3617800760010030000


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Adam LowryFlorida PanthersC321993-03-29USANo210 Lbs6 ft5NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,250,000$3,250,000$3,250,000$3,250,000$No---------------------------Lien NHL
Alex DeBrincatFlorida PanthersLW/RW271997-12-18USANo180 Lbs5 ft8NoNoTrade2025-09-04NoNo22025-05-26FalseFalsePro & Farm7,875,000$7,875,000$7,875,000$7,875,000$No7,875,000$--------7,875,000$--------No--------Lien NHL
Artem ZubFlorida PanthersD291995-10-03RUSNo200 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm4,600,000$4,600,000$4,600,000$4,600,000$No4,600,000$--------4,600,000$--------No--------Lien NHL
Casey CizikasFlorida PanthersC/LW341991-02-27CANNo194 Lbs5 ft11NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$--------2,500,000$--------No--------Lien NHL
Erik GudbransonFlorida PanthersD331992-01-07CANNo222 Lbs6 ft5NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$4,000,000$No---------------------------Lien NHL
Isac LundestromFlorida PanthersC/LW251999-11-06SWENo191 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm1,300,000$1,300,000$1,300,000$1,300,000$No1,300,000$--------1,300,000$--------No--------Lien NHL
Jack McBainFlorida PanthersC252000-01-06CANNo219 Lbs6 ft4NoNoAssign ManuallyNoNo52025-07-22FalseFalsePro & Farm4,250,000$4,250,000$4,250,000$4,250,000$No4,250,000$4,250,000$4,250,000$4,250,000$-----4,250,000$4,250,000$4,250,000$4,250,000$-----NoNoNoNo-----Lien NHL
Jake BeanFlorida PanthersD271998-06-09CANNo191 Lbs6 ft1NoNoAssign ManuallyNoYes12025-05-26FalseFalsePro & Farm1,750,000$1,750,000$1,750,000$1,750,000$No---------------------------Lien NHL
Jonathan HuberdeauFlorida PanthersLW/RW321993-06-04CANNo200 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm10,500,000$10,500,000$10,500,000$10,500,000$No10,500,000$10,500,000$10,500,000$10,500,000$-----10,500,000$10,500,000$10,500,000$10,500,000$-----NoNoNoNo-----Lien NHL
Jonathan LekkerimakiFlorida PanthersRW212004-07-24SWENo172 Lbs5 ft11NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm918,333$918,333$918,333$918,333$No918,333$--------918,333$--------No--------
Jonathan QuickFlorida PanthersG391986-01-21USANo220 Lbs6 ft1NoNoAssign ManuallyNoYes12025-06-29FalseFalsePro & Farm1,550,000$1,550,000$1,550,000$1,550,000$No---------------------------Lien NHL
Justin BrazeauFlorida PanthersRW271998-02-02CANNo227 Lbs6 ft6NoNoAssign ManuallyNoYes22025-07-02FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$1,500,000$No1,500,000$--------1,500,000$--------No--------Lien NHL
K'Andre MillerFlorida PanthersD252000-01-21USANo210 Lbs6 ft5NoNoAssign ManuallyNoNo52025-07-02FalseFalsePro & Farm7,500,000$7,500,000$7,500,000$7,500,000$No7,500,000$7,500,000$7,500,000$7,500,000$-----7,500,000$7,500,000$7,500,000$7,500,000$-----NoNoNoNo-----Lien NHL
Lawson CrouseFlorida PanthersLW/RW281997-06-23CANNo214 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm4,300,000$4,300,000$4,300,000$4,300,000$No4,300,000$--------4,300,000$--------No--------Lien NHL
Logan CooleyFlorida PanthersC/RW212004-05-04USANo191 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm950,000$950,000$950,000$950,000$No---------------------------Lien NHL
Mario FerraroFlorida PanthersD271998-09-17CANNo209 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,250,000$3,250,000$3,250,000$3,250,000$No---------------------------Lien NHL
Mason AppletonFlorida PanthersC/LW/RW291996-01-15USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm2,900,000$2,900,000$2,900,000$2,900,000$No2,900,000$--------2,900,000$--------No--------Lien NHL
Mathieu JosephFlorida PanthersRW281997-02-09CANNo186 Lbs6 ft1NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm2,950,000$2,950,000$2,950,000$2,950,000$No---------------------------Lien NHL
Matt DumbaFlorida PanthersD311994-07-25CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm3,750,000$3,750,000$3,750,000$3,750,000$No---------------------------
Pavel BuchnevichFlorida PanthersC/LW301995-04-17RUSNo196 Lbs6 ft1NoNoTrade2025-09-04NoNo52025-07-03FalseFalsePro & Farm8,000,000$8,000,000$8,000,000$8,000,000$No8,000,000$8,000,000$8,000,000$8,000,000$-----8,000,000$8,000,000$8,000,000$8,000,000$-----NoNoNoNo-----Lien NHL
Roope HintzFlorida PanthersC/RW281996-11-17FINNo213 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,450,000$8,450,000$8,450,000$8,450,000$No8,450,000$8,450,000$8,450,000$8,450,000$-----8,450,000$8,450,000$8,450,000$8,450,000$-----NoNoNoNo-----Lien NHL
Scott MayfieldFlorida PanthersD321992-10-14USANo213 Lbs6 ft5NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm3,500,000$3,500,000$3,500,000$3,500,000$No3,500,000$3,500,000$3,500,000$3,500,000$-----3,500,000$3,500,000$3,500,000$3,500,000$-----NoNoNoNo-----Lien NHL
Stuart SkinnerFlorida PanthersG261998-11-01CANNo230 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm2,600,000$2,600,000$2,600,000$2,600,000$No---------------------------Lien NHL
Thomas HarleyFlorida PanthersD242001-08-19USANo211 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$4,000,000$No---------------------------Lien NHL
Tomas NosekFlorida PanthersC/LW331992-09-01CZENo199 Lbs6 ft3NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm775,000$775,000$775,000$775,000$No---------------------------Lien NHL
Vitek VanecekFlorida PanthersG291996-01-09CZENo184 Lbs6 ft2NoNoAssign ManuallyNoYes12025-07-02FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$1,500,000$No---------------------------Lien NHL
Zach BensonFlorida PanthersLW/RW202005-05-12CANNo170 Lbs5 ft10NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm950,000$950,000$950,000$950,000$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2728.22201 Lbs6 ft22.193,680,309$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
99,368,333$68,093,333$42,200,000$42,200,000$42,200,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel BuchnevichRoope HintzAlex DeBrincat30122
2Jonathan HuberdeauAdam LowryLogan Cooley30122
3Lawson CrouseMason AppletonZach Benson25122
4Casey CizikasJack McBainMathieu Joseph15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HarleyMario Ferraro30122
2K'Andre MillerArtem Zub30122
3Scott MayfieldErik Gudbranson25122
4Thomas HarleyMario Ferraro15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel BuchnevichRoope HintzJonathan Huberdeau50122
2Alex DeBrincatAdam LowryLogan Cooley50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerThomas Harley50122
2Artem ZubScott Mayfield50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam LowryPavel Buchnevich50122
2Jack McBainMathieu Joseph50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mario FerraroScott Mayfield50122
2Erik GudbransonArtem Zub50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Lowry50122Artem ZubScott Mayfield50122
2Jack McBain50122Scott MayfieldErik Gudbranson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Roope HintzPavel Buchnevich50122
2Adam LowryJonathan Huberdeau50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerThomas Harley50122
2Mario FerraroScott Mayfield50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel BuchnevichRoope HintzAlex DeBrincatK'Andre MillerThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Casey CizikasAdam LowryMathieu JosephMario FerraroScott Mayfield
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Cooley, Jonathan Huberdeau, Mason AppletonZach Benson, Jack McBainMathieu Joseph
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Gudbranson, Artem Zub, K'Andre MillerThomas HarleyScott Mayfield, Mario Ferraro
Tirs de pénalité
Alex DeBrincat, Jonathan Huberdeau, Roope Hintz, Logan Cooley, Lawson Crouse
Gardien
#1 : Stuart Skinner, #2 : Vitek Vanecek
Lignes d’attaque personnalisées en prolongation
Adam Lowry, Alex DeBrincat, Roope Hintz, Pavel Buchnevich, Mathieu Joseph, Mason Appleton, Logan Cooley, Jonathan Huberdeau, Lawson Crouse, Jack McBain
Lignes de défense personnalisées en prolongation
Scott Mayfield, K'Andre Miller, Thomas Harley, Mario Ferraro, Erik Gudbranson


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 Bruins11000000541000000000001100000054121.00058130023002591240261112245360.00%60100.00%0459348.39%448253.66%203754.05%2417236116
2Buffalo Sabres1010000001-1000000000001010000001-100.0000000000002411670148424400.00%20100.00%0459348.39%448253.66%203754.05%2417237126
3Detroit Red Wings11000000422110000004220000000000021.000471100112024671102084193266.67%10100.00%0459348.39%448253.66%203754.05%2518226126
Total32100000972110000004222110000055040.667915240034207326252206027206712541.67%90100.00%0459348.39%448253.66%203754.05%745269203518
_Since Last GM Reset32100000972110000004222110000055040.667915240034207326252206027206712541.67%90100.00%0459348.39%448253.66%203754.05%745269203518
_Vs Conference32100000972110000004222110000055040.667915240034207326252206027206712541.67%90100.00%0459348.39%448253.66%203754.05%745269203518
_Vs Division32100000972110000004222110000055040.667915240034207326252206027206712541.67%90100.00%0459348.39%448253.66%203754.05%745269203518

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W291524736027206700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
321000097
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000042
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000055
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12541.67%90100.00%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
26252203420
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
459348.39%448253.66%203754.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
745269203518


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
11Florida Panthers0Buffalo Sabres1LSommaire du match
220Florida Panthers5Boston Bruins4WSommaire du match
432Detroit Red Wings2Florida Panthers4WSommaire du match
659Ottawa Senators-Florida Panthers-
875Montreal Canadiens-Florida Panthers-
1090Florida Panthers-Ottawa Senators-
12105Florida Panthers-Montreal Canadiens-
13113Buffalo Sabres-Florida Panthers-
15131Florida Panthers-Detroit Red Wings-
17151Toronto Maple Leafs-Florida Panthers-
18165Florida Panthers-Toronto Maple Leafs-
21182Tampa Bay Lightning-Florida Panthers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
24201Florida Panthers-Tampa Bay Lightning-
26215Boston Bruins-Florida Panthers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 99,368,333$ 99,368,333$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 24 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,000,000$ 20,000,000$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 95,500,000$ 95,500,000$ -70,600,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex DeBrincatAGE:27PO:0OV:81
Jonathan HuberdeauAGE:32PO:0OV:79
Pavel BuchnevichAGE:30PO:0OV:79
Lawson CrouseAGE:28PO:0OV:76
Casey CizikasAGE:34PO:0OV:75
Mason AppletonAGE:29PO:0OV:74
Isac LundestromAGE:25PO:0OV:72
Tomas NosekAGE:33PO:0OV:72
Zach BensonAGE:20PO:0OV:72
Ben MeyersAGE:26PO:0OV:64
Angus CrookshankAGE:25PO:0OV:61
Roope HintzAGE:28PO:0OV:81
Adam LowryAGE:32PO:0OV:80
Pavel BuchnevichAGE:30PO:0OV:79
Logan CooleyAGE:21PO:0OV:76
Casey CizikasAGE:34PO:0OV:75
Jack McBainAGE:25PO:0OV:74
Mason AppletonAGE:29PO:0OV:74
Isac LundestromAGE:25PO:0OV:72
Tomas NosekAGE:33PO:0OV:72
Ben MeyersAGE:26PO:0OV:64
Tyler MaddenAGE:25PO:0OV:60
Xavier SimoneauAGE:24PO:0OV:60
Alex DeBrincatAGE:27PO:0OV:81
Roope HintzAGE:28PO:0OV:81
Jonathan HuberdeauAGE:32PO:0OV:79
Lawson CrouseAGE:28PO:0OV:76
Logan CooleyAGE:21PO:0OV:76
Mason AppletonAGE:29PO:0OV:74
Mathieu JosephAGE:28PO:0OV:74
Zach BensonAGE:20PO:0OV:72
Justin BrazeauAGE:27PO:0OV:69
Arthur KaliyevAGE:24PO:0OV:68
Jonathan LekkerimakiAGE:21PO:0OV:63
Taylor WardAGE:27PO:0OV:61
Zach SolowAGE:26PO:0OV:59
Ty TullioAGE:23PO:0OV:58

Défense #1Défense #2Gardien
K'Andre MillerAGE:25PO:0OV:80
Thomas HarleyAGE:24PO:0OV:80
Mario FerraroAGE:27PO:0OV:79
Scott MayfieldAGE:32PO:0OV:77
Artem ZubAGE:29PO:0OV:76
Erik GudbransonAGE:33PO:0OV:75
Matt DumbaAGE:31PO:0OV:74
Jake BeanAGE:27PO:0OV:73
Reilly WalshAGE:26PO:0OV:62
Akito HiroseAGE:26PO:0OV:61
Matteo PietroniroAGE:26PO:0OV:60
Tyson HindsAGE:22PO:0OV:60
Colin FelixAGE:26PO:0OV:59
Ryan O'RourkeAGE:23PO:0OV:59
Jackson DorringtonAGE:21PO:0OV:58
Stuart SkinnerAGE:26PO:0OV:82
Jonathan QuickAGE:39PO:0OV:75
Vitek VanecekAGE:29PO:0OV:74
Nikita TolopiloAGE:25PO:0OV:65
Cooper BlackAGE:24PO:0OV:59
Cameron WhiteheadAGE:22PO:0OV:53

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
Benjamin KindelFlorida Panthers202564Fantasy DraftLien
David BedkowskiFlorida Panthers2025192Fantasy DraftLien
Jack MurtaghFlorida Panthers2025128Fantasy DraftLien
Jacob RombachFlorida Panthers2025129Fantasy DraftLien
Kieren DervinFlorida Panthers2025320Fantasy DraftLien
Luca RomanoFlorida Panthers2025193Fantasy DraftLien
Malte VassFlorida Panthers2025257Fantasy DraftLien
Mason MoeFlorida Panthers202565Fantasy DraftLien
Matthew SchaeferFlorida Panthers20251Fantasy DraftLien
Peyton KettlesFlorida Panthers2025256Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Florida Panthers Historique de transactions

[2025-09-19 15:17:47] Tim Gettinger was released.
[2025-09-19 15:17:47] Oliver Kylington was released.
[2025-09-19 15:17:47] Nikolas Brouillard was released.
[2025-09-19 15:17:47] Matt Martin was released.
[2025-09-19 15:17:47] Justin Bailey was released.
[2025-09-17 18:42:59] Charlotte Checkers hired Vincent Damphousse for $1 for 5 year(s).
[2025-09-17 18:42:51] Florida Panthers hired Joe Sakic for $1 for 5 year(s).
[2025-09-04 22:09:45] TRADE : From Anaheim Ducks to Florida Panthers : Alex DeBrincat (81).
[2025-09-04 22:09:45] TRADE : From Florida Panthers to Anaheim Ducks : Jimmy Snuggerud (63).
[2025-09-04 22:09:41] TRADE : From Florida Panthers to Tampa Bay Lightning : Jackson Blake (71), Y:2026-RND:2-FLA.
[2025-09-04 22:09:41] TRADE : From Tampa Bay Lightning to Florida Panthers : Pavel Buchnevich (79).



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