Connexion

Florida Panthers
GP: 72 | W: 33 | L: 29 | OTL: 10 | P: 76
GF: 216 | GA: 223 | PP%: 11.46% | PK%: 86.80%
DG: Jean Jodoin | Morale : 99 | Moyenne d’équipe : 74
#1022 vs Carolina Hurricanes
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Centre de jeu
Edmonton Oilers
39-29-4, 82pts
1
FINAL
2 Florida Panthers
33-29-10, 76pts
Team Stats
SOL1SéquenceW2
21-13-2Fiche domicile16-16-4
18-16-2Fiche visiteur17-13-6
4-5-1Derniers 10 matchs5-4-1
3.33Buts par match 3.00
3.10Buts contre par match 3.10
13.50%Pourcentage en avantage numérique11.46%
81.42%Pourcentage en désavantage numérique86.80%
Florida Panthers
33-29-10, 76pts
4
FINAL
3 Vegas Golden Knights
38-30-6, 82pts
Team Stats
W2SéquenceL3
16-16-4Fiche domicile22-13-2
17-13-6Fiche visiteur16-17-4
5-4-1Derniers 10 matchs3-7-0
3.00Buts par match 3.34
3.10Buts contre par match 3.42
11.46%Pourcentage en avantage numérique16.76%
86.80%Pourcentage en désavantage numérique82.61%
Florida Panthers
33-29-10, 76pts
Jour 172
Carolina Hurricanes
31-29-11, 73pts
Statistiques d’équipe
W2SéquenceL1
16-16-4Fiche domicile16-14-6
17-13-6Fiche visiteur15-15-5
5-4-110 derniers matchs5-4-1
3.00Buts par match 3.08
3.10Buts contre par match 3.08
11.46%Pourcentage en avantage numérique22.10%
86.80%Pourcentage en désavantage numérique84.18%
Vancouver Canucks
35-27-10, 80pts
Jour 174
Florida Panthers
33-29-10, 76pts
Statistiques d’équipe
L1SéquenceW2
19-8-9Fiche domicile16-16-4
16-19-1Fiche visiteur17-13-6
4-4-210 derniers matchs5-4-1
2.90Buts par match 3.00
3.10Buts contre par match 3.00
15.82%Pourcentage en avantage numérique11.46%
87.76%Pourcentage en désavantage numérique86.80%
Florida Panthers
33-29-10, 76pts
Jour 176
Detroit Red Wings
36-29-6, 78pts
Statistiques d’équipe
W2SéquenceW1
16-16-4Fiche domicile21-10-3
17-13-6Fiche visiteur15-19-3
5-4-110 derniers matchs9-1-0
3.00Buts par match 3.21
3.10Buts contre par match 3.21
11.46%Pourcentage en avantage numérique18.18%
86.80%Pourcentage en désavantage numérique83.43%
Meneurs d'équipe
Buts
Paul Stastny
25
Passes
Paul Stastny
37
Points
Paul Stastny
62
Plus/Moins
Alexis Lafreniere
19
Victoires
Anders Nilsson
27
Pourcentage d’arrêts
Erik Kallgren
0.934

Statistiques d’équipe
Buts pour
216
3.00 GFG
Tirs pour
2708
37.61 Avg
Pourcentage en avantage numérique
11.5%
22 GF
Début de zone offensive
39.4%
Buts contre
223
3.10 GAA
Tirs contre
2679
37.21 Avg
Pourcentage en désavantage numérique
86.8%%
26 GA
Début de la zone défensive
39.3%
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
Assistance16,889
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 jour46,590,876$
Dépenses annuelles à ce jour70,722,126$
Revenus de la saison estimés6,470,955$
Dépenses de la saison estimées8,436,840$
Compte bancaire actuel35,112,039$
Compte bancaire projeté34,456,142$


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 KakkoX100.0077407287797276885480807273545986997302242,600,000$
9Elias PetterssonXX100.0071297787768080838776788073595173997302432,200,000$
10Alexis Lafreniere (R)XX100.0074377574778282865576767273549886997202152,400,000$
11Cole Perfetti (R)XX100.0071328077738082878079797073426882997102122,200,000$
12Nolan PatrickX100.0086447578788080718768718371546981997102421,500,000$
13Alex Plante (A)X100.0070388489848382625663669571999931997703434,000,000$
14Joey LaleggiaX99.004339986738383995898996373637834997603186,225,000$
15Madison BoweyX100.0066268882798684705770738571758453997402833,500,000$
16Olli MäätäX100.005099986808782725977698863637253997402914,200,000$
17Tyler CumaX100.00602587877684836159595578559796389971N03231,500,000$
18Victor SoderstromX100.0079367487747576755773737571595776997102211,350,000$
19Dennis CholowskiX100.0071328080768282835777737071475971997102511,425,000$
20Gustav LindstromX98.0078377687787480785673796974515365997002431,650,000$
Rayé
Équipe Mineure
1Mavrik Bourque (R)X100.007334768072808084757674727360738099710211925,000$
2Blake ColemanXXX100.005423898877838375887172546567683899680301750,000$
3Robbie EarlXXX100.004327958775797973787273596684842999680381750,000$
4Sam Colangelo (R)XX97.0073337982797174797769746973343968996702131,100,000$
5Danila Yurov (R)X100.007431797074808081627373707342437999670192925,000$
6Frank Nazar (R)XX100.007231817072808078817173727336437999670192925,000$
7Samu Salminen (R)XX98.007233777075737373797272687250526699650202925,000$
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$
13Leevi Aaltonen (R)XX100.006429756768646467546466626955535799600222500,000$
14Anton Johannesson (R)X99.007028787067777783567575687352566399680212925,000$
15David FischerX99.00774177787872755054484673509099309967N0353600,000$
16Dmitri Simashev (R)X100.007541797679737359637066796636389199670183925,000$
17Justin Barron (R)X100.007439736877747660526358746047587399660213850,000$
18Mattias Havelid (R)X98.006831777070757567616972727252667599660192925,000$
19Vyacheslav VojnovX100.005320877874768041544041745093993299650331750,000$
20Roman Schmidt (R)X100.008044667280707257506464736337426599650201500,000$
21Hugo Gabrielson (R)X100.006531796770797969526866626741535799630202650,000$
22Dalibor Dvorsky (R)X77.347341777279686883797974727456619199690183925,000$
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 Nilsson97.008685868692999999998584767830997503465,500,000$
2Erik Kallgren (R)100.008387838292979797977980535554997102711,800,000$
3Lukas Dostal (R)100.008382787588909090908283776368996902331,100,000$
Rayé
Équipe Mineure
1Kevin Lalande100.0075807576857272828274759189299966N0373750,000$
2Sergei Mursahov (R)100.00808376728385858383808337427299630192650,000$
3Jesper Wallstedt (R)94.00807984878487878787798263558399670201925,000$
MOYENNE D’ÉQUIPE99.0084858281919595959582826965519972
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 PanthersC72253762-162033922337816610.73%40121316.86279171640000160354.56%15675520001.02250002100
2Sam GagnerFlorida PanthersC/RW72233457746012176245771439.39%43124517.29358281671014403151.65%6066021000.9225000355
3Markus GranlundFlorida PanthersC/LW/RW7218325012408976261871546.90%38126117.53549321670003403250.59%3405713010.7903000522
4William NylanderFlorida PanthersC/LW/RW72192847-122409982237761608.02%43119116.55314211430111664049.12%9123417000.7913000105
5Conor GarlandFlorida PanthersLW/RW72133144-3038010149227941335.73%27115316.036410321570111400138.81%674416010.7611000111
6Andrew CoglianoFlorida PanthersC/LW/RW72172643-74401116617564909.71%28102914.3016710130000002154.48%6813023000.8400000132
7Cole PerfettiFlorida PanthersC/LW7215213681406249194631167.73%2295513.2700011200041143238.89%543117000.7500000401
8Joey LaleggiaFlorida PanthersD6982836-200115515953495.03%61127718.511341015800000010%05045000.5600000102
9Kaapo KakkoFlorida PanthersRW72211435-242069601515610813.91%24101414.09000050111682236.63%1012116100.6900000343
10Dylan StromeFlorida PanthersC/LW721413270140715416955938.28%29102514.2400042610161194043.79%1693222000.5300000004
11Alexis LafreniereFlorida PanthersLW/RW728122019180594369334811.59%2880211.1500000000002148.84%431012000.5000000021
12Elias PetterssonFlorida PanthersC/LW61812201300644913740985.84%2174112.16022121000032148.65%1482511000.5400000001
13Nolan PatrickFlorida PanthersC729112012180938373194712.33%4299913.8900001500051702048.08%495625100.4000000121
14Olli MäätäFlorida PanthersD723131690019787735353.90%106131218.231015391013148100%01434100.2400000100
15Gustav LindstromFlorida PanthersD7221113226052557225222.78%60110015.2901110119000020000%02522000.2400000001
16Victor SoderstromFlorida PanthersD701910116058455022192.00%6894813.5500010130011040000%0820000.2100000000
17Madison BoweyFlorida PanthersD72448-124024586322196.35%6698713.720000100001154100%0636000.1600000000
18Alex PlanteFlorida PanthersD70088910033765426300%97125917.990112360110161000%0549000.1300000000
19Dennis CholowskiFlorida PanthersD72088-1312042444617230%65101014.0301141240114121000%0427000.1600000010
20Tyler CumaFlorida PanthersD72077-11201128208110%4174510.3500004000013000%0123000.1900000000
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 moyenne1431209362571-32384012271222272695415717.67%9512136814.932235571871634369331342291551.09%5185518471320.53617000233029
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 Panthers57272280.9173.013451401732093856230.92914576724
2Erik KallgrenFlorida Panthers84310.9342.594866021319128000.7504830400
3Lukas DostalFlorida Panthers72410.9093.4142220242631040100736001
Statistiques d’équipe totales ou en moyenne723329100.9193.00436012021826751088241872721125


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$421,053$4,000,000$421,053$No4,000,000$4,000,000$-------NoNo-------
Alexis LafreniereFlorida PanthersLW/RW211993-08-31 22:19:22Yes202 Lbs6 ft4NoNoN/ANoNo5Pro Only2,400,000$252,632$2,400,000$252,632$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$578,947$5,500,000$578,947$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$400,000$3,800,000$400,000$No3,800,000$3,800,000$-------NoNo-------
Cole PerfettiFlorida PanthersC/LW211993-08-31 22:06:29Yes194 Lbs6 ft0NoNoN/ANoNo2Pro Only2,200,000$231,579$2,200,000$231,579$No2,200,000$--------No--------
Conor GarlandFlorida PanthersLW/RW271987-10-09 08:13:24No179 Lbs5 ft9NoNoN/ANoNo1Pro Only3,000,000$315,789$3,000,000$315,789$No------------------
Dennis CholowskiFlorida PanthersD251989-09-07 20:44:21No206 Lbs6 ft1NoNoN/ANoNo1Pro Only1,425,000$150,000$1,425,000$150,000$No------------------
Dylan StromeFlorida PanthersC/LW271987-10-20 08:19:04No201 Lbs6 ft3NoNoN/ANoNo1Pro Only4,000,000$421,053$4,000,000$421,053$No------------------
Elias Pettersson (contrat à 1 volet)Florida PanthersC/LW241990-09-19 11:04:47No182 Lbs6 ft6NoNoN/ANoNo3Pro Only2,200,000$231,579$2,200,000$231,579$No2,200,000$2,200,000$-------NoNo-------
Erik KallgrenFlorida PanthersG271987-10-20 08:39:00Yes206 Lbs6 ft2NoNoN/ANoNo1Pro Only1,800,000$189,474$1,800,000$189,474$No------------------
Gustav LindstromFlorida PanthersD241990-09-19 11:14:18No204 Lbs6 ft4NoNoN/ANoNo3Pro Only1,650,000$173,684$1,650,000$173,684$No1,650,000$1,650,000$-------NoNo-------
Joey LaleggiaFlorida PanthersD311983-06-24 14:41:47No199 Lbs5 ft10NoNoTrade2024-01-01NoNo8Pro Only6,225,000$655,263$6,225,000$655,263$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$273,684$2,600,000$273,684$No2,600,000$2,600,000$2,600,000$------NoNoNo------
Lukas DostalFlorida PanthersG231991-08-31 22:07:14Yes179 Lbs6 ft1NoNoN/ANoNo3Pro Only1,100,000$115,789$1,100,000$115,789$No1,100,000$1,100,000$-------NoNo-------
Madison BoweyFlorida PanthersD281986-10-05 14:12:45No217 Lbs6 ft2NoNoN/ANoNo3Pro Only3,500,000$368,421$3,500,000$368,421$No3,500,000$3,500,000$-------NoNo-------
Markus GranlundFlorida PanthersC/LW/RW291986-04-16 04:54:12No179 Lbs5 ft11NoNoN/ANoNo2Pro Only6,600,000$694,737$6,600,000$694,737$No6,600,000$--------No--------
Nolan PatrickFlorida PanthersC241990-09-19 11:21:07No215 Lbs6 ft3NoNoN/ANoNo2Pro Only1,500,000$157,895$1,500,000$157,895$No1,500,000$--------No--------
Olli MäätäFlorida PanthersD291985-08-22 15:46:23No221 Lbs6 ft4NoNoN/ANoNo1Pro Only4,200,000$442,105$4,200,000$442,105$No------------------
Paul StastnyFlorida PanthersC371977-08-06 20:38:02No211 Lbs6 ft0YesNoN/ANoNo3Pro Only7,500,000$789,474$7,500,000$789,474$No7,500,000$7,500,000$-------YesYes-------
Sam GagnerFlorida PanthersC/RW341980-08-06 14:38:02No207 Lbs5 ft11NoNoN/ANoNo6Pro Only6,500,000$684,211$6,500,000$684,211$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$157,895$1,500,000$157,895$No1,500,000$1,500,000$-------YesYes-------
Victor SoderstromFlorida PanthersD221992-10-04 05:23:46No186 Lbs6 ft2NoNoN/ANoNo1Pro Only1,350,000$142,105$1,350,000$142,105$No------------------
William NylanderFlorida PanthersC/LW/RW271987-10-05 14:07:19No184 Lbs6 ft1YesNoN/ANoNo5Pro Only4,600,000$484,211$4,600,000$484,211$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
4Elias PetterssonWilliam 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
2Elias PetterssonWilliam 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
Elias Pettersson, 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 : Lukas Dostal, #3 : Erik Kallgren
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 Ducks3030000049-51010000024-22020000025-300.00047110030101033724420135411450800.00%7185.71%01047202851.63%1031202051.04%571109752.05%643865255025
2Boston Bruins3200100016106100010007612200000094561.00016274300357111837453511184616583266.67%8187.50%01047202851.63%1031202051.04%571109752.05%664166254925
3Buffalo Sabres3200001013761000001032122000000105561.000132033004441105423132598301653800.00%80100.00%01047202851.63%1031202051.04%571109752.05%704360265326
4Calgary Flames320000011394110000005322100000186250.83313233600274010023354241184528536233.33%13192.31%11047202851.63%1031202051.04%571109752.05%593472285224
5Carolina Hurricanes21000100660110000003211000010034-130.7506111700222080283021177321238000%60100.00%11047202851.63%1031202051.04%571109752.05%463044173215
6Chicago Blackhawks2110000045-1110000003121010000014-320.500471100220073312220076261037700.00%5180.00%01047202851.63%1031202051.04%571109752.05%442642173317
7Colorado Avalanche320001001596110000008352100010076150.833152237005730115483829013040164411327.27%7185.71%01047202851.63%1031202051.04%571109752.05%674165244825
8Dallas Stars31101000111012010100058-31100000062440.667112132005321117463831210933125013323.08%6183.33%01047202851.63%1031202051.04%571109752.05%684060255126
9Detroit Red Wings2110000057-21010000025-31100000032120.500591400221094312934061271433700.00%7185.71%01047202851.63%1031202051.04%571109752.05%483040163116
10Edmonton Oilers30100110812-42010001036-31000010056-130.50081220002231115384433210537265412216.67%13284.62%01047202851.63%1031202051.04%571109752.05%724563255226
11Los Angeles Kings311001001011-12010010069-31100000042230.500101626003340103383430111744204913215.38%100100.00%01047202851.63%1031202051.04%571109752.05%643665275326
12Minnesota Wild31200000710-31010000024-22110000056-120.333711182042101104421450107401850400.00%90100.00%01047202851.63%1031202051.04%571109752.05%643764275123
13Montreal Canadiens2010001067-1100000104311010000024-220.500681400122274202528573261026500.00%5340.00%01047202851.63%1031202051.04%571109752.05%483042163416
14New Jersey Devils30200100611-51000010034-12020000037-410.167691500411011049263411164222521200.00%11372.73%01047202851.63%1031202051.04%571109752.05%663865265027
15New York Islanders3210000011922110000078-11100000041340.6671118290044301093641320121412044600.00%10190.00%11047202851.63%1031202051.04%571109752.05%674062255024
16New York Rangers2020000038-51010000024-21010000014-300.00034700300073281728071226489111.11%3166.67%01047202851.63%1031202051.04%571109752.05%462739163318
17Ottawa Senators2010010057-21000010034-11010000023-110.25059140031107935222207024839400.00%4175.00%01047202851.63%1031202051.04%571109752.05%442742173416
18Philadelphia Flyers3120000078-1211000007611010000002-220.3337132000133011239433001054010461000.00%50100.00%01047202851.63%1031202051.04%571109752.05%684160265126
19Pittsburgh Penguins3010110079-22010100056-11000010023-130.5007132000213112457303611064122549111.11%11190.91%01047202851.63%1031202051.04%571109752.05%674164254823
20San Jose Sharks330000001156110000003212200000083561.0001117280024501135633240993618506116.67%9188.89%01047202851.63%1031202051.04%571109752.05%674059275225
21St-Louis Blues30101010981201000105501000100043140.667913220022331183941355112454486116.67%20100.00%01047202851.63%1031202051.04%571109752.05%704464265125
22Tampa Bay Lightning31200000711-42020000039-61100000042220.3337142100322013044424401133622545120.00%11190.91%01047202851.63%1031202051.04%571109752.05%674059245326
23Toronto Maple Leafs2020000057-21010000012-11010000045-100.000510150013107926292407424831600.00%40100.00%01047202851.63%1031202051.04%571109752.05%442641173417
24Vancouver Canucks2110000034-1110000002111010000013-220.50035810210074332021063311229400.00%6183.33%01047202851.63%1031202051.04%571109752.05%442741173416
25Vegas Golden Knights31100100911-21010000013-22100010088030.5009162500432010042273011165014508225.00%7185.71%01047202851.63%1031202051.04%571109752.05%674164255025
26Washington Capitals30200100610-42010010046-21010000024-210.1676101610213010945372701193514576116.67%7357.14%01047202851.63%1031202051.04%571109752.05%633865245025
27Winnipeg Jets22000000936110000004221100000051441.000913220053107135191707024629400.00%30100.00%01047202851.63%1031202051.04%571109752.05%462841153217
Total72252904941216223-73691603440103118-15361613015011131058760.52821635857440767062102708102784382629267995839812261922211.46%1972686.80%31047202851.63%1031202051.04%571109752.05%161798415256211225612
_Since Last GM Reset72252904941216223-73691603440103118-15361613015011131058760.52821635857440767062102708102784382629267995839812261922211.46%1972686.80%31047202851.63%1031202051.04%571109752.05%161798415256211225612
_Vs Conference72252904941216223-73691603440103118-15361613015011131058760.52821635857440767062102708102784382629267995839812261922211.46%1972686.80%31047202851.63%1031202051.04%571109752.05%161798415256211225612
_Vs Division36101702520103117-141939023205467-131778002004950-1330.45810317527810353133513965174474271413224662006339066.67%1001684.00%21047202851.63%1031202051.04%571109752.05%817500754307609306

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7276W221635857427082679958398122640
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7225294941216223
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
369163440103118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3616131501113105
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1922211.46%1972686.80%3
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
10278438262976706210
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
1047202851.63%1031202051.04%571109752.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
161798415256211225612


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 Flyers3Florida Panthers5BWSommaire du match
131757Florida Panthers1Anaheim Ducks2ALSommaire du match
133772Florida Panthers4Boston Bruins1AWSommaire du match
135787Tampa Bay Lightning5Florida Panthers2BLSommaire du match
136793Philadelphia Flyers3Florida Panthers2BLSommaire du match
139813Pittsburgh Penguins3Florida Panthers4BWXSommaire du match
141825Florida Panthers3Colorado Avalanche4ALXSommaire du match
144844Dallas Stars3Florida Panthers4BWXSommaire du match
147861Los Angeles Kings4Florida Panthers2BLSommaire du match
149875Florida Panthers3San Jose Sharks1AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Florida Panthers3Calgary Flames4ALXXSommaire du match
155913St-Louis Blues3Florida Panthers2BLSommaire du match
159939Florida Panthers5Buffalo Sabres2AWSommaire du match
161952Florida Panthers2New Jersey Devils4ALSommaire du match
163968Washington Capitals4Florida Panthers3BLSommaire du match
165979Florida Panthers3Minnesota Wild2AWSommaire du match
167991New York Islanders5Florida Panthers2BLSommaire du match
1691005Edmonton Oilers1Florida Panthers2BWXXSommaire du match
1701011Florida Panthers4Vegas Golden Knights3AWSommaire du match
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
Assistance166,547157,845142,761108,00032,841
Attendance PCT92.53%87.69%79.31%75.00%91.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 16889 - 84.44% 1,294,191$46,590,876$2000090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
70,722,126$ 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$ 69,827,341$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,470,955$ 20 421,842$ 8,436,840$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
8,845,260$ 35,112,039$ 34,456,142$
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.



[2024-04-19 22:50:10] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-19 22:50:10] Jesper Wallstedt from Charlotte Checkers injured (Exhaustion)
[2024-04-19 22:50:10] Game 1011 - Dalibor Dvorsky from Charlotte Checkers is injured (Abdominal Strain) and is out for 3 weeks.
[2024-04-18 22:50:39] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-17 00:20:06] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-14 21:41:26] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-12 23:11:45] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-10 23:33:17] Auto Lines Partial Function has been run for Charlotte Checkers.
[2024-04-08 23:09:58] Mavrik Bourque from Charlotte Checkers is back from Sprained Right Finger Injury.
[2024-04-08 23:09:57] Game 939 - Mavrik Bourque from Charlotte Checkers is injured (Sprained Right Finger) and is out for 5 days.
[2024-04-07 00:13:28] Sasha Pastujov from Charlotte Checkers is back from Right Foot Injury.



Jesper Wallstedt est dehors pour 1 jours à cause de Exhaustion.
Dalibor Dvorsky est dehors pour 2 semaines à cause de Abdominal Strain Injury.



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