Connexion

Florida Panthers
GP: 53 | W: 24 | L: 21 | OTL: 8 | P: 56
GF: 160 | GA: 166 | PP%: 10.53% | PK%: 86.90%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 74
Prochains matchs #748 vs Philadelphia Flyers
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Centre de jeu
Boston Bruins
25-20-8, 58pts
6
FINAL
7 Florida Panthers
24-21-8, 56pts
Team Stats
L1SéquenceL1
16-8-3Fiche domicile12-10-4
9-12-5Fiche visiteur12-11-4
4-4-2Derniers 10 matchs4-3-3
3.32Buts par match 3.02
3.06Buts contre par match 3.13
10.88%Pourcentage en avantage numérique10.53%
85.84%Pourcentage en désavantage numérique86.90%
Tampa Bay Lightning
36-15-2, 74pts
4
FINAL
1 Florida Panthers
24-21-8, 56pts
Team Stats
W3SéquenceL1
15-10-1Fiche domicile12-10-4
21-5-1Fiche visiteur12-11-4
9-0-1Derniers 10 matchs4-3-3
3.23Buts par match 3.02
2.57Buts contre par match 3.13
16.53%Pourcentage en avantage numérique10.53%
89.55%Pourcentage en désavantage numérique86.90%
Philadelphia Flyers
25-20-6, 56pts
Jour 128
Florida Panthers
24-21-8, 56pts
Statistiques d’équipe
L3SéquenceL1
16-9-1Fiche domicile12-10-4
9-11-5Fiche visiteur12-11-4
3-6-110 derniers matchs4-3-3
2.98Buts par match 3.02
3.10Buts contre par match 3.02
17.39%Pourcentage en avantage numérique10.53%
86.67%Pourcentage en désavantage numérique86.90%
Florida Panthers
24-21-8, 56pts
Jour 131
Anaheim Ducks
34-17-2, 70pts
Statistiques d’équipe
L1SéquenceW5
12-10-4Fiche domicile15-9-2
12-11-4Fiche visiteur19-8-0
4-3-310 derniers matchs8-1-1
3.02Buts par match 3.43
3.13Buts contre par match 3.43
10.53%Pourcentage en avantage numérique19.55%
86.90%Pourcentage en désavantage numérique85.51%
Florida Panthers
24-21-8, 56pts
Jour 133
Boston Bruins
25-20-8, 58pts
Statistiques d’équipe
L1SéquenceL1
12-10-4Fiche domicile16-8-3
12-11-4Fiche visiteur9-12-5
4-3-310 derniers matchs4-4-2
3.02Buts par match 3.32
3.13Buts contre par match 3.32
10.53%Pourcentage en avantage numérique10.88%
86.90%Pourcentage en désavantage numérique85.84%
Meneurs d'équipe
Buts
Paul Stastny
19
Passes
Paul Stastny
28
Points
Paul Stastny
47
Plus/Moins
Alexis Lafreniere
15
Victoires
Anders Nilsson
21
Pourcentage d’arrêts
Erik Kallgren
0.927

Statistiques d’équipe
Buts pour
160
3.02 GFG
Tirs pour
2025
38.21 Avg
Pourcentage en avantage numérique
10.5%
14 GF
Début de zone offensive
39.3%
Buts contre
166
3.13 GAA
Tirs contre
1957
36.92 Avg
Pourcentage en désavantage numérique
86.9%%
19 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralJean Jodoin
EntraîneurJacques Martin
DivisionEastern
ConférenceCircuit Jodoin
CapitainePaul Stastny
Assistant #1Sam Gagner
Assistant #2Alex Plante


Informations de l’aréna

NomBankAtlantic Center
Capacité20,000
Assistance16,757
Billets de saison15,000


Informations de la formation

Équipe Pro23
Équipe Mineure26
Limite contact 49 / 75
Espoirs3


Plafond salarial Non Activé

Cap Salarial de la Saison estimé80,900,000$
Plafond salarial disponible4,100,000$
Valeur du plafond salarial spécial1,750,000$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour33,413,927$
Dépenses annuelles à ce jour51,739,236$
Revenus de la saison estimés19,277,266$
Dépenses de la saison estimées27,419,730$
Compte bancaire actuel38,408,407$
Compte bancaire projeté33,931,382$


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
1Paul Stastny (C)X100.00431898857689849992999988839999339983N03737,500,000$
2Markus GranlundXXX100.0070297785708083998795928068787541997902926,600,000$
3Sam Gagner (A)XX100.0084616985758584998799996070798043997903466,500,000$
4William NylanderXXX100.00844376857282829187868284735862699977N02754,600,000$
5Conor GarlandXX100.0083417286708482945286827071747449997502713,000,000$
6Andrew CoglianoXXX100.0095736686718180788681797072889030997403633,800,000$
7Dylan StromeXX100.0067288086778182868781797371567072997302714,000,000$
8Kaapo KakkoX97.0077407287797276885480807273545986997302242,600,000$
9Alexis Lafreniere (R)XX100.0074377574778282865576767273549886997202152,400,000$
10Cole Perfetti (R)XX100.0071328077738082878079797073426882997102122,200,000$
11Nolan PatrickX100.0086447578788080718768718371546981997102421,500,000$
12Alex Plante (A)X100.0070388489848382625663669571999931997703434,000,000$
13Joey LaleggiaX100.004339986738383995898996373637834997603186,225,000$
14Madison BoweyX100.0066268882798684705770738571758453997402833,500,000$
15Olli MäätäX100.005099986808782725977698863637253997402914,200,000$
16Tyler CumaX100.00602587877684836159595578559796389971N03231,500,000$
17Victor SoderstromX100.0079367487747576755773737571595776997102211,350,000$
18Dennis CholowskiX100.0071328080768282835777737071475971997102511,425,000$
19Gustav LindstromX100.0078377687787480785673796974515365997002431,650,000$
Rayé
1Elias PetterssonXX100.0071297787768080838776788073595173997302432,200,000$
Équipe Mineure
1Mavrik Bourque (R)X100.007334768072808084757674727360738099710211925,000$
2Dalibor Dvorsky (R)X99.007341777279686883797974727456619199690183925,000$
3Blake ColemanXXX100.005423898877838375887172546567683899680301750,000$
4Sam Colangelo (R)XX99.0073337982797174797769746973343968996702131,100,000$
5Danila Yurov (R)X100.007431797074808081627373707342437999670192925,000$
6Frank Nazar (R)XX100.007231817072808078817173727336437999670192925,000$
7Samu Salminen (R)XX99.007233777075737373797272687250526699650202925,000$
8Chaz Lucius (R)X100.006528767072686872816775717442498099640202925,000$
9Ben Jones (R)X100.006332807375707569806767616859615199640242500,001$
10Matthew Strome (R)X100.006834787080717366536366666864666199640242500,001$
11Martin Chromniak (R)XX100.006836746974656578537170627063505999640213650,000$
12Sasha Pastujov (R)XX100.006934746972656578567371657155506999640203650,000$
13Anton Johannesson (R)X99.007028787067777783567575687352566399680212925,000$
14David FischerX100.00774177787872755054484673509099309967N0353600,000$
15Dmitri Simashev (R)X100.007541797679737359637066796636389199670183925,000$
16Justin Barron (R)X100.007439736877747660526358746047587399660213850,000$
17Mattias Havelid (R)X99.006831777070757567616972727252667599660192925,000$
18Vyacheslav VojnovX100.005320877874768041544041745093993299650331750,000$
19Roman Schmidt (R)X100.008044667280707257506464736337426599650201500,000$
20Hugo Gabrielson (R)X100.006531796770797969526866626741535799630202650,000$
21Robbie EarlXXX100.004327958775797973787273596684842999680381750,000$
22Leevi Aaltonen (R)XX100.006429756768646467546466626955535799600222500,000$
23Boris ValabikX100.007084308884626829483129764095953099640371600,000$
MOYENNE D’ÉQUIPE99.85713480847682818370807976716775589974
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
1Anders Nilsson98.008685868692999999998584767830997503465,500,000$
2Erik Kallgren (R)100.008387838292979797977980535554997102711,800,000$
3Lukas Dostal (R)100.008382787588909090908283776368996902331,100,000$
Rayé
Équipe Mineure
1Jesper Wallstedt (R)98.00807984878487878787798263558399670201925,000$
2Kevin Lalande100.0075807576857272828274759189299966N0373750,000$
3Sergei Mursahov (R)100.00808376728385858383808337427299630192650,000$
MOYENNE D’ÉQUIPE99.3384858281919595959582826965519972
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Martin87979192999939CAN7051,000,000$


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 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
1Paul StastnyFlorida PanthersC53192847-60027741836012610.38%2892017.3613491100000130355.62%12463813001.0213000270
2Sam GagnerFlorida PanthersC/RW5317264343809056190541128.95%3195618.04235171131014402152.03%3694918000.9023000144
3William NylanderFlorida PanthersC/LW/RW53142337-131807963164481048.54%3388016.6221310930110451047.47%6532711000.8412000103
4Markus GranlundFlorida PanthersC/LW/RW53122537-32206763200631136.00%2997418.39224181130003403050.92%3264712010.7602000411
5Conor GarlandFlorida PanthersLW/RW5392635-202806837173701095.20%2086516.32448201070111370137.25%513811010.8111000100
6Andrew CoglianoFlorida PanthersC/LW/RW53121628-8300855112833669.38%2574614.08134781000002057.54%3912318000.7500000111
7Kaapo KakkoFlorida PanthersRW53161026-52805241123458813.01%2074714.10000030111442135.62%731811000.7000000232
8Cole PerfettiFlorida PanthersC/LW53111425560413415246947.24%1367612.760001120004723239.47%382611000.7400000300
9Joey LaleggiaFlorida PanthersD5052025-30074611043374.55%4894218.84112710300000010%04330000.5300000101
10Dylan StromeFlorida PanthersC/LW531210229120433814040798.57%1774314.020003260003754041.88%1602616000.5900000004
11Alexis LafreniereFlorida PanthersLW/RW53781515120482958284412.07%2257110.7700000000001150.00%2886000.5300000021
12Nolan PatrickFlorida PanthersC53691511120687351153711.76%2971013.4000001500041182047.04%406418000.4200000121
13Elias PetterssonFlorida PanthersC/LW426612018044397421478.11%1249511.80022121000031146.21%132168000.4800000001
14Olli MäätäFlorida PanthersD53291170016595823273.45%7797518.401015391012103000%01225100.2300000000
15Gustav LindstromFlorida PanthersD532911326031454920144.08%4776514.44011670000018000%01817000.2900000001
16Victor SoderstromFlorida PanthersD51189510042323518132.86%5570513.83000575011040000%0513000.2600000000
17Tyler CumaFlorida PanthersD53066-82082118690%3055510.4800004000012000%0118000.2200000000
18Alex PlanteFlorida PanthersD5106646026524017210%7193518.340112360000114000%0230000.1300000000
19Dennis CholowskiFlorida PanthersD53066-912031323514170%5171913.58000175000477000%0219000.1700000010
20Madison BoweyFlorida PanthersD53235-114020374816144.17%5174714.10000090001105000%0428000.1300000000
21Robbie EarlCharlotte Checkers (FLO)C/LW/RW71344005314477.14%28712.4500000000000050.00%202000.9200000000
22Boris ValabikCharlotte Checkers (FLO)D2000000010000%031.860000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1051154271425-192840898926204368411787.54%7111572314.96142135112111324627966211151.10%3875407335120.54511000172120
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
1Anders NilssonFlorida Panthers44211670.9172.992667201331607641230.90911444523
2Erik KallgrenFlorida Panthers42200.9272.742412011150570000428100
3Lukas DostalFlorida Panthers51310.9083.583022018196780100521001
Statistiques d’équipe totales ou en moyenne53242180.9173.03321060162195377624115353624


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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 PlanteFlorida PanthersD341980-08-06 14:38:02No235 Lbs6 ft5NoNoN/ANoNo3Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No4,000,000$4,000,000$-------NoNo-------
Alexis LafreniereFlorida PanthersLW/RW211993-08-31 22:19:22Yes202 Lbs6 ft4NoNoN/ANoNo5Pro Only2,400,000$821,053$2,400,000$821,053$No2,400,000$2,400,000$2,400,000$2,400,000$-----NoNoNoNo-----
Anders NilssonFlorida PanthersG341980-08-06 14:38:02No224 Lbs6 ft2NoNoN/ANoNo6Pro Only5,500,000$1,881,579$5,500,000$1,881,579$No5,500,000$5,500,000$5,500,000$5,500,000$5,500,000$----NoNoNoNoNo----
Andrew CoglianoFlorida PanthersC/LW/RW361978-08-07 02:38:02No192 Lbs5 ft9NoNoN/ANoNo3Pro Only3,800,000$1,300,000$3,800,000$1,300,000$No3,800,000$3,800,000$-------NoNo-------
Cole PerfettiFlorida PanthersC/LW211993-08-31 22:06:29Yes194 Lbs6 ft0NoNoN/ANoNo2Pro Only2,200,000$752,632$2,200,000$752,632$No2,200,000$--------No--------
Conor GarlandFlorida PanthersLW/RW271987-10-09 08:13:24No179 Lbs5 ft9NoNoN/ANoNo1Pro Only3,000,000$1,026,316$3,000,000$1,026,316$No------------------
Dennis CholowskiFlorida PanthersD251989-09-07 20:44:21No206 Lbs6 ft1NoNoN/ANoNo1Pro Only1,425,000$487,500$1,425,000$487,500$No------------------
Dylan StromeFlorida PanthersC/LW271987-10-20 08:19:04No201 Lbs6 ft3NoNoN/ANoNo1Pro Only4,000,000$1,368,421$4,000,000$1,368,421$No------------------
Elias Pettersson (contrat à 1 volet)Florida PanthersC/LW241990-09-19 11:04:47No182 Lbs6 ft6NoNoN/ANoNo3Pro Only2,200,000$752,632$2,200,000$752,632$No2,200,000$2,200,000$-------NoNo-------
Erik KallgrenFlorida PanthersG271987-10-20 08:39:00Yes206 Lbs6 ft2NoNoN/ANoNo1Pro Only1,800,000$615,789$1,800,000$615,789$No------------------
Gustav LindstromFlorida PanthersD241990-09-19 11:14:18No204 Lbs6 ft4NoNoN/ANoNo3Pro Only1,650,000$564,474$1,650,000$564,474$No1,650,000$1,650,000$-------NoNo-------
Joey LaleggiaFlorida PanthersD311983-06-24 14:41:47No199 Lbs5 ft10NoNoTrade2024-01-01NoNo8Pro Only6,225,000$2,129,605$6,225,000$2,129,605$No6,225,000$6,225,000$6,225,000$6,225,000$6,225,000$6,225,000$6,225,000$--NoNoNoNoNoNoNo--
Kaapo KakkoFlorida PanthersRW221992-10-04 05:24:32No204 Lbs6 ft6NoNoN/ANoNo4Pro Only2,600,000$889,474$2,600,000$889,474$No2,600,000$2,600,000$2,600,000$------NoNoNo------
Lukas DostalFlorida PanthersG231991-08-31 22:07:14Yes179 Lbs6 ft1NoNoN/ANoNo3Pro Only1,100,000$376,316$1,100,000$376,316$No1,100,000$1,100,000$-------NoNo-------
Madison BoweyFlorida PanthersD281986-10-05 14:12:45No217 Lbs6 ft2NoNoN/ANoNo3Pro Only3,500,000$1,197,368$3,500,000$1,197,368$No3,500,000$3,500,000$-------NoNo-------
Markus GranlundFlorida PanthersC/LW/RW291986-04-16 04:54:12No179 Lbs5 ft11NoNoN/ANoNo2Pro Only6,600,000$2,257,895$6,600,000$2,257,895$No6,600,000$--------No--------
Nolan PatrickFlorida PanthersC241990-09-19 11:21:07No215 Lbs6 ft3NoNoN/ANoNo2Pro Only1,500,000$513,158$1,500,000$513,158$No1,500,000$--------No--------
Olli MäätäFlorida PanthersD291985-08-22 15:46:23No221 Lbs6 ft4NoNoN/ANoNo1Pro Only4,200,000$1,436,842$4,200,000$1,436,842$No------------------
Paul StastnyFlorida PanthersC371977-08-06 20:38:02No211 Lbs6 ft0YesNoN/ANoNo3Pro Only7,500,000$2,565,789$7,500,000$2,565,789$No7,500,000$7,500,000$-------YesYes-------
Sam GagnerFlorida PanthersC/RW341980-08-06 14:38:02No207 Lbs5 ft11NoNoN/ANoNo6Pro Only6,500,000$2,223,684$6,500,000$2,223,684$No6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$----NoNoNoNoNo----
Tyler CumaFlorida PanthersD321983-01-19 09:01:15No210 Lbs6 ft1YesNoN/ANoNo3Pro Only1,500,000$513,158$1,500,000$513,158$No1,500,000$1,500,000$-------YesYes-------
Victor SoderstromFlorida PanthersD221992-10-04 05:23:46No186 Lbs6 ft2NoNoN/ANoNo1Pro Only1,350,000$461,842$1,350,000$461,842$No------------------
William NylanderFlorida PanthersC/LW/RW271987-10-05 14:07:19No184 Lbs6 ft1YesNoN/ANoNo5Pro Only4,600,000$1,573,684$4,600,000$1,573,684$No4,600,000$4,600,000$4,600,000$4,600,000$-----YesYesYesYes-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.74202 Lbs6 ft23.043,441,304$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
79,150,000$63,375,000$53,075,000$27,825,000$25,225,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan StromePaul StastnyConor Garland25113
2Markus GranlundSam GagnerAlexis Lafreniere25113
3Cole PerfettiAndrew CoglianoKaapo Kakko25113
4Kaapo KakkoWilliam NylanderNolan Patrick25113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaAlex Plante30122
2Olli MäätäGustav Lindstrom30122
3Victor SoderstromMadison Bowey20122
4Dennis CholowskiTyler Cuma20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Markus GranlundPaul StastnySam Gagner50104
2Conor GarlandAndrew CoglianoWilliam Nylander50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaVictor Soderstrom50104
2Dennis CholowskiGustav Lindstrom50104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nolan PatrickCole Perfetti50122
2Nolan PatrickDylan Strome50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex PlanteMadison Bowey50122
2Dennis CholowskiOlli Määtä50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nolan Patrick50122Alex PlanteMadison Bowey50122
2Sam Gagner50122Tyler CumaOlli Määtä50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Paul StastnyDylan Strome50122
2Cole PerfettiWilliam Nylander50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaAlex Plante50122
2Gustav LindstromTyler Cuma50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Markus GranlundPaul StastnySam GagnerJoey LaleggiaOlli Määtä
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan PatrickPaul StastnyWilliam NylanderAlex PlanteOlli Määtä
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Perfetti, Dylan Strome, Kaapo KakkoKaapo Kakko, Andrew CoglianoKaapo Kakko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dennis Cholowski, Madison Bowey, Tyler CumaVictor SoderstromTyler Cuma, Gustav Lindstrom
Tirs de pénalité
Paul Stastny, Sam Gagner, Markus Granlund, William Nylander, Conor Garland
Gardien
#1 : Anders Nilsson, #2 : Erik Kallgren, #3 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Paul Stastny, Sam Gagner, Markus Granlund, William Nylander, Conor Garland, Andrew Cogliano, Andrew Cogliano, Joey Laleggia, Kaapo Kakko, Dylan Strome, Alexis Lafreniere
Lignes de défense personnalisées en prolongation
Gustav Lindstrom, Olli Määtä, Madison Bowey, Dennis Cholowski, Tyler Cuma


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
1Anaheim Ducks2020000037-41010000024-21010000013-200.0003690020106924162908832830600.00%4175.00%0792151052.45%758151250.13%43081952.50%412644173316
2Boston Bruins210010001293100010007611100000053241.0001222340024517722292518632163422100.00%8187.50%0792151052.45%758151250.13%43081952.50%442745173216
3Buffalo Sabres21000010853100000103211100000053241.0008132100232170252718564211635400.00%80100.00%0792151052.45%758151250.13%43081952.50%452742193717
4Calgary Flames220000001055110000005321100000052341.000101727001630741823330733014315240.00%7185.71%0792151052.45%758151250.13%43081952.50%402546173216
5Carolina Hurricanes21000100660110000003211000010034-130.7506111700222080283021177321238000%60100.00%1792151052.45%758151250.13%43081952.50%463044173215
6Chicago Blackhawks2110000045-1110000003121010000014-320.500471100220073312220076261037700.00%5180.00%0792151052.45%758151250.13%43081952.50%442642173317
7Colorado Avalanche220000001257110000008351100000042241.00012183000462083302924095286337114.29%2150.00%0792151052.45%758151250.13%43081952.50%452843153116
8Dallas Stars211000007701010000015-41100000062420.50071320004210833629180692212379222.22%6183.33%0792151052.45%758151250.13%43081952.50%462740163316
9Detroit Red Wings2110000057-21010000025-31100000032120.500591400221094312934061271433700.00%7185.71%0792151052.45%758151250.13%43081952.50%483040163116
10Edmonton Oilers20100100611-51010000015-41000010056-110.25061016002220862735240712818357228.57%9188.89%0792151052.45%758151250.13%43081952.50%483042163416
11Los Angeles Kings210001008711000010045-11100000042230.75081321003140762722261753110321119.09%50100.00%0792151052.45%758151250.13%43081952.50%452641173518
12Minnesota Wild2020000048-41010000024-21010000024-200.000461020310070291427072271231100.00%60100.00%0792151052.45%758151250.13%43081952.50%402444183415
13Montreal Canadiens2010001067-1100000104311010000024-220.500681400122274202528573261026500.00%5340.00%0792151052.45%758151250.13%43081952.50%483042163416
14New Jersey Devils2010010047-31000010034-11010000013-210.250461000211075321923183291234700.00%6266.67%0792151052.45%758151250.13%43081952.50%452744173317
15New York Islanders22000000945110000005321100000041341.0009162500432073213022085301234400.00%60100.00%1792151052.45%758151250.13%43081952.50%432642173416
16New York Rangers2020000038-51010000024-21010000014-300.00034700300073281728071226489111.11%3166.67%0792151052.45%758151250.13%43081952.50%462739163318
17Ottawa Senators2010010057-21000010034-11010000023-110.25059140031107935222207024839400.00%4175.00%0792151052.45%758151250.13%43081952.50%442742173416
18Philadelphia Flyers1010000002-2000000000001010000002-200.00000000000036199803710417100.00%20100.00%0792151052.45%758151250.13%43081952.50%2314197178
19Pittsburgh Penguins2010010036-31010000013-21000010023-110.250358001110813924180712716386116.67%80100.00%0792151052.45%758151250.13%43081952.50%422645173114
20San Jose Sharks22000000844110000003211100000052341.0008122000044072332118061271431400.00%7185.71%0792151052.45%758151250.13%43081952.50%432540183517
21St-Louis Blues20001010752100000103211000100043141.000791600122376212923577334274125.00%20100.00%0792151052.45%758151250.13%43081952.50%462843183517
22Tampa Bay Lightning2110000056-11010000014-31100000042220.5005101500311087322728059211435300.00%70100.00%0792151052.45%758151250.13%43081952.50%472836163618
23Toronto Maple Leafs2020000057-21010000012-11010000045-100.000510150013107926292407424831600.00%40100.00%0792151052.45%758151250.13%43081952.50%442641173417
24Vancouver Canucks2110000034-1110000002111010000013-220.50035810210074332021063311229400.00%6183.33%0792151052.45%758151250.13%43081952.50%442741173416
25Vegas Golden Knights2010010058-31010000013-21000010045-110.2505914002210652517221793112363133.33%6183.33%0792151052.45%758151250.13%43081952.50%432744173316
26Washington Capitals2010010036-31000010012-11010000024-210.2503691010207528291807723637300.00%3166.67%0792151052.45%758151250.13%43081952.50%422643163316
27Winnipeg Jets22000000936110000004221100000051441.000913220053107135191707024629400.00%30100.00%0792151052.45%758151250.13%43081952.50%462841153217
Total53192102830160166-626810014307584-92711110140085823560.52816026742740585542720257556426192019577182928971331410.53%1451986.90%2792151052.45%758151250.13%43081952.50%11907311126456898446
_Since Last GM Reset53192102830160166-626810014307584-92711110140085823560.52816026742740585542720257556426192019577182928971331410.53%1451986.90%2792151052.45%758151250.13%43081952.50%11907311126456898446
_Vs Conference53192102830160166-626810014307584-92711110140085823560.52816026742740585542720257556426192019577182928971331410.53%1451986.90%2792151052.45%758151250.13%43081952.50%11907311126456898446
_Vs Division27712015207487-131325013203644-81457002003843-5250.463741292031027232141053386346317139883481544796146.56%771087.01%2792151052.45%758151250.13%43081952.50%613377569232456226

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5356L11602674272025195771829289740
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5319212830160166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2681014307584
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27111114008582
Derniers 10 matchs
WLOTWOTL SOWSOL
430300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1331410.53%1451986.90%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
755642619205855427
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
792151052.45%758151250.13%43081952.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11907311126456898446


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 Panthers5Boston Bruins3AWSommaire du match
215Dallas Stars5Florida Panthers1BLSommaire du match
534New York Rangers4Florida Panthers2BLSommaire du match
747Ottawa Senators4Florida Panthers3BLXSommaire du match
852Florida Panthers5Buffalo Sabres3AWSommaire du match
1169Carolina Hurricanes2Florida Panthers3BWSommaire du match
1274Florida Panthers2Montreal Canadiens4ALSommaire du match
1491Florida Panthers2Washington Capitals4ALSommaire du match
17102Anaheim Ducks4Florida Panthers2BLSommaire du match
23134Florida Panthers5Calgary Flames2AWSommaire du match
25150Florida Panthers5Edmonton Oilers6ALXSommaire du match
27161Florida Panthers2Minnesota Wild4ALSommaire du match
30179Detroit Red Wings5Florida Panthers2BLSommaire du match
32190Los Angeles Kings5Florida Panthers4BLXSommaire du match
34197Toronto Maple Leafs2Florida Panthers1BLSommaire du match
36214Florida Panthers1Chicago Blackhawks4ALSommaire du match
38226Florida Panthers1New Jersey Devils3ALSommaire du match
39233New York Islanders3Florida Panthers5BWSommaire du match
43256Vancouver Canucks1Florida Panthers2BWSommaire du match
45265Florida Panthers4Colorado Avalanche2AWSommaire du match
46274Florida Panthers4St-Louis Blues3AWXSommaire du match
50298Vegas Golden Knights3Florida Panthers1BLSommaire du match
52307Colorado Avalanche3Florida Panthers8BWSommaire du match
55324Chicago Blackhawks1Florida Panthers3BWSommaire du match
57339Florida Panthers0Philadelphia Flyers2ALSommaire du match
59348Florida Panthers4Tampa Bay Lightning2AWSommaire du match
60356Florida Panthers1Anaheim Ducks3ALSommaire du match
63374Pittsburgh Penguins3Florida Panthers1BLSommaire du match
64378Washington Capitals2Florida Panthers1BLXSommaire du match
66389Florida Panthers6Dallas Stars2AWSommaire du match
69406Montreal Canadiens3Florida Panthers4BWXXSommaire du match
70409New Jersey Devils4Florida Panthers3BLXSommaire du match
73429San Jose Sharks2Florida Panthers3BWSommaire du match
76445Florida Panthers2Ottawa Senators3ALSommaire du match
77452Florida Panthers5Winnipeg Jets1AWSommaire du match
79466Buffalo Sabres2Florida Panthers3BWXXSommaire du match
83487Minnesota Wild4Florida Panthers2BLSommaire du match
86507Florida Panthers3Detroit Red Wings2AWSommaire du match
89522Florida Panthers4New York Islanders1AWSommaire du match
92538Florida Panthers1Vancouver Canucks3ALSommaire du match
94549St-Louis Blues2Florida Panthers3BWXXSommaire du match
97569Florida Panthers4Los Angeles Kings2AWSommaire du match
100585Florida Panthers1New York Rangers4ALSommaire du match
103605Florida Panthers3Carolina Hurricanes4ALXSommaire du match
105617Edmonton Oilers5Florida Panthers1BLSommaire du match
108631Florida Panthers2Pittsburgh Penguins3ALXSommaire du match
111651Florida Panthers4Toronto Maple Leafs5ALSommaire du match
113658Florida Panthers5San Jose Sharks2AWSommaire du match
115672Winnipeg Jets2Florida Panthers4BWSommaire du match
117686Calgary Flames3Florida Panthers5BWSommaire du match
119697Florida Panthers4Vegas Golden Knights5ALXSommaire du match
123721Boston Bruins6Florida Panthers7BWXSommaire du match
125730Tampa Bay Lightning4Florida Panthers1BLSommaire du match
128748Philadelphia Flyers-Florida Panthers-
131757Florida Panthers-Anaheim Ducks-
133772Florida Panthers-Boston Bruins-
135787Tampa Bay Lightning-Florida Panthers-
136793Philadelphia Flyers-Florida Panthers-
139813Pittsburgh Penguins-Florida Panthers-
141825Florida Panthers-Colorado Avalanche-
144844Dallas Stars-Florida Panthers-
147861Los Angeles Kings-Florida Panthers-
149875Florida Panthers-San Jose Sharks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Florida Panthers-Calgary Flames-
155913St-Louis Blues-Florida Panthers-
159939Florida Panthers-Buffalo Sabres-
161952Florida Panthers-New Jersey Devils-
163968Washington Capitals-Florida Panthers-
165979Florida Panthers-Minnesota Wild-
167991New York Islanders-Florida Panthers-
1691005Edmonton Oilers-Florida Panthers-
1701011Florida Panthers-Vegas Golden Knights-
1721022Florida Panthers-Carolina Hurricanes-
1741039Vancouver Canucks-Florida Panthers-
1761052Florida Panthers-Detroit Red Wings-
1771056Chicago Blackhawks-Florida Panthers-
1791071New York Rangers-Florida Panthers-
1811085Montreal Canadiens-Florida Panthers-
1841102Florida Panthers-Ottawa Senators-
1861112Florida Panthers-Winnipeg Jets-
1871125Florida Panthers-Toronto Maple Leafs-
1901142Detroit Red Wings-Florida Panthers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50005000500040001000
Prix des billets60504030135
Assistance120,091113,587100,43778,00023,579
Attendance PCT92.38%87.37%77.26%75.00%90.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 16757 - 83.79% 1,285,151$33,413,927$2000090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
51,739,236$ 79,150,000$ 76,350,000$ 0$ 1,750,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
79,150,000$ 51,081,286$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
19,277,266$ 65 421,842$ 27,419,730$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
28,873,650$ 38,408,407$ 33,931,382$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
80,900,000$ 4,100,000$ 85,000,000$ 25,900,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Markus GranlundAGE:29PO:41OV:79
William NylanderAGE:27PO:69OV:77
Conor GarlandAGE:27PO:49OV:75
Andrew CoglianoAGE:36PO:30OV:74
Elias PetterssonAGE:24PO:73OV:73
Dylan StromeAGE:27PO:72OV:73
Alexis Lafreniere (R)AGE:21PO:86OV:72
Cole Perfetti (R)AGE:21PO:82OV:71
Blake ColemanAGE:30PO:38OV:68
Robbie EarlAGE:38PO:29OV:68
Samu Salminen (R)AGE:20PO:66OV:65
Sasha Pastujov (R)AGE:20PO:69OV:64
Matthew Strome (R)AGE:24PO:61OV:64
Martin Chromniak (R)AGE:21PO:59OV:64
Leevi Aaltonen (R)AGE:22PO:57OV:60
Paul StastnyAGE:37PO:33OV:83
Sam GagnerAGE:34PO:43OV:79
Markus GranlundAGE:29PO:41OV:79
William NylanderAGE:27PO:69OV:77
Andrew CoglianoAGE:36PO:30OV:74
Elias PetterssonAGE:24PO:73OV:73
Dylan StromeAGE:27PO:72OV:73
Cole Perfetti (R)AGE:21PO:82OV:71
Nolan PatrickAGE:24PO:81OV:71
Mavrik Bourque (R)AGE:21PO:80OV:71
Dalibor Dvorsky (R)AGE:18PO:91OV:69
Blake ColemanAGE:30PO:38OV:68
Robbie EarlAGE:38PO:29OV:68
Frank Nazar (R)AGE:19PO:79OV:67
Sam Colangelo (R)AGE:21PO:68OV:67
Samu Salminen (R)AGE:20PO:66OV:65
Chaz Lucius (R)AGE:20PO:80OV:64
Ben Jones (R)AGE:24PO:51OV:64
Sam GagnerAGE:34PO:43OV:79
Markus GranlundAGE:29PO:41OV:79
William NylanderAGE:27PO:69OV:77
Conor GarlandAGE:27PO:49OV:75
Andrew CoglianoAGE:36PO:30OV:74
Kaapo KakkoAGE:22PO:86OV:73
Alexis Lafreniere (R)AGE:21PO:86OV:72
Blake ColemanAGE:30PO:38OV:68
Robbie EarlAGE:38PO:29OV:68
Danila Yurov (R)AGE:19PO:79OV:67
Frank Nazar (R)AGE:19PO:79OV:67
Sam Colangelo (R)AGE:21PO:68OV:67
Sasha Pastujov (R)AGE:20PO:69OV:64
Martin Chromniak (R)AGE:21PO:59OV:64
Leevi Aaltonen (R)AGE:22PO:57OV:60

Défense #1Défense #2Gardien
Alex PlanteAGE:34PO:31OV:77
Joey LaleggiaAGE:31PO:34OV:76
Madison BoweyAGE:28PO:53OV:74
Olli MäätäAGE:29PO:53OV:74
Victor SoderstromAGE:22PO:76OV:71
Dennis CholowskiAGE:25PO:71OV:71
Tyler CumaAGE:32PO:38OV:71
Gustav LindstromAGE:24PO:65OV:70
Anton Johannesson (R)AGE:21PO:63OV:68
Dmitri Simashev (R)AGE:18PO:91OV:67
David FischerAGE:35PO:30OV:67
Mattias Havelid (R)AGE:19PO:75OV:66
Justin Barron (R)AGE:21PO:73OV:66
Roman Schmidt (R)AGE:20PO:65OV:65
Vyacheslav VojnovAGE:33PO:32OV:65
Boris ValabikAGE:37PO:30OV:64
Hugo Gabrielson (R)AGE:20PO:57OV:63
Anders NilssonAGE:34PO:30OV:75
Erik Kallgren (R)AGE:27PO:54OV:71
Lukas Dostal (R)AGE:23PO:68OV:69
Jesper Wallstedt (R)AGE:20PO:83OV:67
Kevin LalandeAGE:37PO:29OV:66
Sergei Mursahov (R)AGE:19PO:72OV:63

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
Easton CowanFlorida Panthers202329
Jakub DvorakFlorida Panthers202342
Marek AlscherFlorida Panthers202214

Choix au repêchage

Année R1R2R3
2024FLO BOS WSH COL ANA WSH
2025FLO ANA NJD FLO BUF CHI FLO CHI SJS
2026FLO FLO EDM FLO
2027FLO FLO FLO
2028FLO FLO FLO
Choix au repêchage conditionnel



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


Florida Panthers Historique de transactions

[2024-01-21 16:21:43] - TRADE : From Montreal Canadiens to Florida Panthers : Chaz Lucius (64), Sasha Pastujov (64).
[2024-01-21 16:21:43] - TRADE : From Florida Panthers to Montreal Canadiens : Brendan Brisson (68), Matthew Samoskevich (63), Y:2024-RND:3-NJD.
[2024-01-09 00:38:27] - TRADE : From Florida Panthers to Buffalo Sabres : Y:2025-RND:3-COL.
[2024-01-09 00:38:27] - TRADE : From Buffalo Sabres to Florida Panthers : Y:2024-RND:3-NJD.
[2024-01-01 13:29:20] - TRADE : From Florida Panthers to Buffalo Sabres : Ryan Murphy (75).
[2024-01-01 13:29:20] - TRADE : From Buffalo Sabres to Florida Panthers : Joey Laleggia (76).
[2023-12-27 22:08:46] - TRADE : From Florida Panthers to Edmonton Oilers : Shakir Mukhamadullin (68), Y:2024-RND:3-BOS.
[2023-12-27 22:08:46] - TRADE : From Edmonton Oilers to Florida Panthers : Anton Johannesson (68), Y:2026-RND:2-EDM.
[2023-12-16 21:21:00] - TRADE : From Florida Panthers to Buffalo Sabres : Elias Pettersson (64).
[2023-12-16 21:21:00] - TRADE : From Buffalo Sabres to Florida Panthers : Elias Pettersson (73).
[2023-12-16 21:19:51] - TRADE : From Florida Panthers to Buffalo Sabres : Elias Pettersson (73), Seth Jarvis (66).
[2023-12-16 21:19:51] - TRADE : From Buffalo Sabres to Florida Panthers : Roman Schmidt (65), Y:2025-RND:3-COL.
[2023-10-30 12:00:21] - TRADE : From Boston Bruins to Florida Panthers : 250 000 $ (Salary Cap).
[2023-10-30 12:00:21] - TRADE : From Florida Panthers to Boston Bruins : Henri Jokiharju (69).
[2023-09-09 11:08:21] - Gustav Lindstrom signed with Florida Panthers for 1 650 000 $ for 3 year(s).
[2023-09-09 11:08:21] - Gustav Lindstrom was added to Florida Panthers.
[2023-08-19 18:15:32] - Dmitri Simashev was added to Florida Panthers.
[2023-08-19 18:14:39] - Dalibor Dvorsky was added to Florida Panthers.
[2023-08-19 17:33:26] - Florida Panthers drafts Jakub Dvorak as the #42 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:32:00] - Florida Panthers drafts Easton Cowan as the #29 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:26:57] - Florida Panthers drafts Dmitri Simashev as the #7 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:26:27] - Florida Panthers drafts Dalibor Dvorsky as the #3 overall pick in the Entry Draft of year 2023.
[2023-08-17 16:46:23] - Justin Barron signed with Florida Panthers for 850 000 $ for 3 year(s).
[2023-08-17 16:46:23] - Justin Barron was added to Florida Panthers.
[2023-08-17 16:46:13] - Seth Jarvis signed with Florida Panthers for 1 100 000 $ for 3 year(s).
[2023-08-17 16:46:13] - Seth Jarvis was added to Florida Panthers.
[2023-08-17 16:46:04] - Sam Colangelo signed with Florida Panthers for 1 100 000 $ for 3 year(s).
[2023-08-17 16:46:04] - Sam Colangelo was added to Florida Panthers.
[2023-08-17 16:45:56] - Brendan Brisson signed with Florida Panthers for 1 250 000 $ for 3 year(s).
[2023-08-17 16:45:56] - Brendan Brisson was added to Florida Panthers.
[2023-08-17 16:45:47] - Lukas Dostal signed with Florida Panthers for 1 100 000 $ for 3 year(s).
[2023-08-17 16:45:47] - Lukas Dostal was added to Florida Panthers.



[2024-02-27 22:55:07] Auto Lines Partial Function has been run for Florida Panthers.
[2024-02-27 22:55:07] Florida Panthers lines errors : Normal line # 4 LW is empty.
[2024-02-26 23:09:13] Robbie Earl of Florida Panthers was sent down to farm.
[2024-02-26 23:09:00] Florida Panthers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-02-26 23:08:58] Maximum Pro Players Limit Reached for Florida Panthers!
[2024-02-26 23:08:10] Maximum Pro Players Limit Reached for Florida Panthers!
[2024-02-26 23:07:36] Maximum Pro Players Limit Reached for Florida Panthers!
[2024-02-26 23:06:53] Maximum Pro Players Limit Reached for Florida Panthers!
[2024-02-26 23:06:44] Elias Pettersson from Florida Panthers is back from Torn Right Knee Ligaments Injury.
[2024-02-25 22:25:38] Last 7 Days Farm Star : 1 - A.J. Jenks of Hershey Bears (6-3-9) / 2 - Artem Anisimov of Ontario Reign (5-3-8) / 3 - Sam Colangelo of Charlotte Checkers (4-5-9)
[2024-02-14 22:52:36] David Fischer from Charlotte Checkers is back from Sprained Right Finger Injury.
[2024-02-14 22:52:34] Game 631 - David Fischer from Charlotte Checkers is injured (Sprained Right Finger) and is out for 5 days.
[2024-02-11 16:14:30] Both Florida Panthers and Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased.
[2024-02-11 16:08:51] Robbie Earl of Florida Panthers was sent to pro.
[2024-02-10 00:15:02] Florida Panthers lines for next game are empty. Current rosters/lines are not erased. But, Charlotte Checkers lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2024-02-07 23:48:30] Auto Lines Partial Function has been run for Florida Panthers.
[2024-02-07 23:48:30] Florida Panthers lines errors : Normal line # 1 LW is empty. 4 vs 4 line 1 C is empty.



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