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Florida Panthers
GP: 78 | W: 29 | L: 40 | OTL: 9 | P: 91
GF: 187 | GA: 214 | PP%: 19.01% | PK%: 80.59%
DG: Eric E | Morale : 40 | Moyenne d’équipe : 74
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Centre de jeu
New York Rangers
45-23-10, 133pts
3
FINAL
1 Florida Panthers
29-40-9, 91pts
Team Stats
L1StreakW1
19-15-5Home Record18-19-2
26-8-5Away Record11-21-7
5-4-1Last 10 Games3-5-2
2.60Buts par match 2.40
2.36Buts contre par match 2.74
17.76%Pourcentage en avantage numérique19.01%
82.19%Pourcentage en désavantage numérique80.59%
Florida Panthers
29-40-9, 91pts
3
FINAL
2 New York Rangers
45-23-10, 133pts
Team Stats
W1StreakL1
18-19-2Home Record19-15-5
11-21-7Away Record26-8-5
3-5-2Last 10 Games5-4-1
2.40Buts par match 2.60
2.74Buts contre par match 2.36
19.01%Pourcentage en avantage numérique17.76%
80.59%Pourcentage en désavantage numérique82.19%
Meneurs d'équipe
Jake DebruskButs
Jake Debrusk
38
Mathew BarzalPasses
Mathew Barzal
53
Mathew BarzalPoints
Mathew Barzal
77
Jaccob SlavinPlus/Moins
Jaccob Slavin
8
Chris DriedgerVictoires
Chris Driedger
19
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.917

Statistiques d’équipe
Buts pour
187
2.40 GFG
Tirs pour
2274
29.15 Avg
Pourcentage en avantage numérique
19.0%
50 GF
Début de zone offensive
38.3%
Buts contre
214
2.74 GAA
Tirs contre
2440
31.28 Avg
Pourcentage en désavantage numérique
80.6%%
66 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralEric E
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineDarnell Nurse
Assistant #1Mathew Barzal
Assistant #2Jared McCann


Informations de l’aréna

NomBBandT Center
Capacité18,000
Assistance16,984
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure23
Limite contact 45 / 250
Espoirs14


Finance

Revenu annuel à ce jour45,689,845$
Dépenses annuelles à ce jour65,750,540$
Revenus de la saison estimés0$
Dépenses de la saison estimées347,127$
Compte bancaire actuel58,091,829$
Compte bancaire projeté57,736,856$


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
1Mathew Barzal (A)0X98.0066408296619494919092907088737404081025413,067,000$
2Jake Debrusk0X98.008045879166868683708486708275780407802543,940,000$
3Andrew Copp0X100.005845899274868276858378747676780407602723,000,000$
4Mark Stone0X100.006145887777888480718282767879800407603033,750,000$
5Jared McCann (A)0X98.0067457982718384758282807074757704074N02633,520,000$
6Ondrej Kase0X100.006140818865857874628078697775640407302633,630,000$
7Ryan Hartman0X100.008747688963867975747676707676640407302723,030,000$
8Tomas Tatar0X100.0075357786558584746975756876806404072N03114,000,000$
9Anze Kopitar0X100.006650815890838774907473646686860407103415,000,000$
10Mathieu Joseph0X100.00814779787880826765706974697371040710253700,000$
11Blake Coleman0X100.00845063746777796884696969697971040690301650,000$
12MacKenzie Weegar0X99.009150778277878976508569796977730407702833,000,000$
13Darnell Nurse (C)0X100.009050657097909075507870786576890407702721,450,000$
14Jaccob Slavin0X100.005845967784919173507866816973810407502814,000,000$
15Josh Manson0X100.00935763668788887150766573647978040740304600,000$
16Christian Djoos0X100.00544084937279787350777074707675040730272750,000$
17Gustav Forsling0X100.005940848868828475598175707675760407302632,250,000$
18Jeremy Lauzon0X100.00935569748081806950736377627373040730252600,000$
Rayé
1James Neal0X100.006847827175838277607278596684800407103421,643,000$
Équipe Mineure
1Scott Laughton0X98.00814775787378786684706766697773040690281500,000$
2William Carrier0X98.00964769678075746672706870677675040690271600,000$
3Patrick Maroon0X100.00886550539281797055726962648684040680343500,000$
4Mike Hardman (R)0X100.00975585728272716271656374656872040680232600,000$
5Nate Thompson0X100.00805075607775746079656263619383040650371500,000$
6Victor Ejdsell0X100.00574780688173745861616171617673040650272500,000$
7Daniel Winnik0X99.00534581617673746265656564629380040650371500,000$
8Nick Foligno0X100.00725778637376746266676261618686040650341500,000$
9Nicklas Bergfors0X100.00554581716175736755666757658676040650341500,000$
10Brett Sutter0X100.00714567677066666371676461658881040650351500,000$
11Liam O'Brien0X100.00787735637562625952636169597673040630272500,000$
12Robert Bortuzzo0X95.00905269669178796850726272598476040720332750,000$
13Kevin Connauton0X96.007845817083808073507564676582850407203221,200,000$
14Mirco Mueller0X100.00563580737975746951706473647664040690272500,000$
15Dennis Gilbert0X100.009680527185717062506361685963680406802541,200,000$
16Linus Hogberg (R)0X100.00503581867372816150635970616871040680233800,000$
17Austin Strand0X100.00564789708570786250655965577380040670254650,000$
18Brendan Lemieux0X100.00966749698579786563706769667572040690261700,000$
19Stephane Da Costa0X100.00623583835374746972727064748274040690321500,000$
20Parker Kelly (R)0X91.57995054797372806350656675686868040690233900,000$
21Mikko Lehtonen0X100.00664284727470706250665965587774040660282751,000$
MOYENNE D’ÉQUIPE99.6373467981748584756678747272777504074
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
1Chris Driedger096.0077788386818182828181817765040780281500,000$
2Karel Vejmelka0100.00678085867878808080797575630407602612,650,000$
Rayé
1Joey Daccord0100.0080627482777576787675737361040730252600,000$
Équipe Mineure
1Jack Campbell095.0077606282787778787677797962040730303550,000$
2Jon Gillies0100.0070626290747475777474757760040720281500,000$
MOYENNE D’ÉQUIPE98.677573818579787980797876756304076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mathew BarzalFlorida PanthersC73245377232085157279871958.60%35159721.881118293622201121286149.91%21147339100.9613000442
2Jake DebruskFlorida PanthersRW7838266403525126822497113915.26%39163821.001011213523700001224540.79%1526729000.7813104846
3Mark StoneFlorida PanthersRW78203050-519574126232581288.62%27150619.31481219180123162385044.32%885323100.6600001065
4Andrew CoppFlorida PanthersC77163046-826058127188861278.51%39142918.566392021110141013148.46%14594622000.6422000112
5Jared McCannFlorida PanthersLW78162137-4561011490166601209.64%22144718.566713252161012553148.35%914430000.5100002220
6Ondrej KaseFlorida PanthersLW76111526-43406355181481026.08%24107514.1526810101000031132.50%404015000.4800000113
7Ryan HartmanFlorida PanthersLW78131326-444011868127306810.24%2291111.693587970001472052.78%723111000.5700000201
8Darnell NurseFlorida PanthersD7832124-13195251931398938383.37%99186023.8513461170004235010.00%01661000.2600113122
9Mathieu JosephFlorida PanthersLW6781624-24410746413631675.88%1593713.9911274200081743031.58%382319000.5111002012
10MacKenzie WeegarFlorida PanthersD7651318-765151601699140545.49%117187624.69202101520113278000.00%03070100.1900120002
11Jaccob SlavinFlorida PanthersD7351015800331037823326.41%87145920.00426111240001241100.00%01760000.2101000002
12Christian DjoosFlorida PanthersD7631114815513755420265.56%63108714.3102251020110770175.00%41634000.2600100100
13Tomas TatarFlorida PanthersRW787714-5195734612139855.79%1580510.3310110000031140.91%222820000.3500001101
14Anze KopitarFlorida PanthersC6467132180495749222212.24%1669910.920110330000270056.60%341315000.3700000010
15Gustav ForslingFlorida PanthersD70279-926031775523233.64%52110815.841235128000255100.00%02832000.1600000000
16James NealFlorida PanthersRW67639114050417014358.57%1668110.17000040110391034.38%32159000.2600000010
17Josh MansonFlorida PanthersD4814535758364309143.33%1875415.72000145000070000.00%0622000.1300001000
18Jeremy LauzonFlorida PanthersD78145-1561076583113173.23%4892111.81000000000160000.00%1722000.1100011101
19Blake ColemanFlorida PanthersC37044-223542312315200.00%23449.32000130223350047.37%11472000.2300001000
Statistiques d’équipe totales ou en moyenne1350185295480-4077812015151629224972713128.23%7562214216.40526912119920243811462097311249.04%4568550535300.435104416222329
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
1Chris DriedgerFlorida Panthers52192370.9172.522980201251509730420.20054830551
2Karel VejmelkaFlorida Panthers2613920.9162.5414646262736358020.40052454303
Statistiques d’équipe totales ou en moyenne78323290.9172.524445821872245108844107284854


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Andrew Copp (contrat à 1 volet)Florida PanthersC277/8/1994No206 Lbs6 ft1NoNoNoNo2Pro & Farm3,000,000$16,575$0$0$No3,000,000$Lien / Lien NHL
Anze Kopitar (contrat à 1 volet)Florida PanthersC348/24/1987No225 Lbs6 ft3NoNoNoNo1Pro & Farm5,000,000$27,624$0$0$NoLien / Lien NHL
Blake ColemanFlorida PanthersC3011/28/1991No207 Lbs5 ft11NoNoNoNo1Pro & Farm650,000$3,591$0$0$NoLien / Lien NHL
Chris DriedgerFlorida PanthersG285/18/1994No208 Lbs6 ft4NoNoNoNo1Pro & Farm500,000$2,762$0$0$NoLien / Lien NHL
Christian DjoosFlorida PanthersD278/6/1994No180 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$4,144$0$0$No750,000$Lien
Darnell NurseFlorida PanthersD272/4/1995No221 Lbs6 ft4NoNoNoNo2Pro & Farm1,450,000$8,011$0$0$No1,450,000$Lien / Lien NHL
Gustav ForslingFlorida PanthersD266/12/1996No186 Lbs6 ft0NoNoNoNo3Pro & Farm2,250,000$12,431$0$0$No2,250,000$2,250,000$Lien / Lien NHL
Jaccob Slavin (contrat à 1 volet)Florida PanthersD285/1/1994No207 Lbs6 ft3NoNoNoNo1Pro & Farm4,000,000$22,099$0$0$NoLien / Lien NHL
Jake Debrusk (contrat à 1 volet)Florida PanthersRW2510/17/1996No200 Lbs6 ft0NoNoNoNo4Pro & Farm3,940,000$21,768$0$0$No3,940,000$3,940,000$3,940,000$Lien / Lien NHL
James NealFlorida PanthersRW349/3/1987No212 Lbs6 ft3NoNoNoNo2Pro & Farm1,643,000$9,077$0$0$No1,643,000$Lien / Lien NHL
Jared McCann (contrat à 1 volet)Florida PanthersLW265/31/1996No185 Lbs6 ft1YesNoNoNo3Pro Only3,520,000$19,448$0$0$No3,520,000$3,520,000$Lien / Lien NHL
Jeremy LauzonFlorida PanthersD254/28/1997No204 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$3,315$0$0$No600,000$Lien / Lien NHL
Joey DaccordFlorida PanthersG258/19/1996No197 Lbs6 ft2NoNoNoNo2Pro & Farm600,000$3,315$0$0$No600,000$Lien / Lien NHL
Josh MansonFlorida PanthersD3010/7/1991No218 Lbs6 ft3NoNoNoNo4Pro & Farm600,000$3,315$0$0$No600,000$600,000$600,000$Lien / Lien NHL
Karel Vejmelka (contrat à 1 volet)Florida PanthersG265/25/1996No224 Lbs6 ft4NoNoNoNo1Pro & Farm2,650,000$14,641$0$0$NoLien / Lien NHL
MacKenzie Weegar (contrat à 1 volet)Florida PanthersD281/7/1994No200 Lbs6 ft0NoNoNoNo3Pro & Farm3,000,000$16,575$0$0$No3,000,000$3,000,000$Lien / Lien NHL
Mark Stone (contrat à 1 volet)Florida PanthersRW305/13/1992No209 Lbs6 ft3NoNoNoNo3Pro & Farm3,750,000$20,718$0$0$No3,750,000$3,750,000$Lien / Lien NHL
Mathew Barzal (contrat à 1 volet)Florida PanthersC255/26/1997No187 Lbs6 ft1NoNoNoNo4Pro & Farm13,067,000$72,193$0$0$No13,067,000$13,067,000$13,067,000$Lien / Lien NHL
Mathieu JosephFlorida PanthersLW252/9/1997No190 Lbs6 ft1NoNoNoNo3Pro & Farm700,000$3,867$0$0$No700,000$700,000$Lien / Lien NHL
Ondrej Kase (contrat à 1 volet)Florida PanthersLW2611/8/1995No187 Lbs6 ft0NoNoNoNo3Pro & Farm3,630,000$20,055$0$0$No3,630,000$3,630,000$Lien / Lien NHL
Ryan Hartman (contrat à 1 volet)Florida PanthersLW279/20/1994No197 Lbs6 ft0NoNoNoNo2Pro & Farm3,030,000$16,740$0$0$No3,030,000$Lien / Lien NHL
Tomas Tatar (contrat à 1 volet)Florida PanthersRW3112/1/1990No173 Lbs5 ft10YesNoNoNo1Pro Only4,000,000$22,099$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.73201 Lbs6 ft12.272,833,182$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
62,330,000$45,530,000$34,457,000$17,607,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jared McCannMathew BarzalJake Debrusk40014
2Ryan HartmanAndrew CoppMark Stone30014
3Ondrej KaseAnze KopitarTomas Tatar20023
4Mathieu JosephBlake ColemanChristian Djoos10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMacKenzie Weegar40023
2Jaccob SlavinJosh Manson33023
3Gustav ForslingJeremy Lauzon27023
4Jaccob SlavinJeremy Lauzon0023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jared McCannMathew BarzalJake Debrusk55005
2Ondrej KaseAndrew CoppMark Stone45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinMacKenzie Weegar60014
2Darnell NurseGustav Forsling40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrew CoppMathieu Joseph60050
2Blake ColemanMark Stone40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseJaccob Slavin50050
2MacKenzie WeegarJeremy Lauzon50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrew Copp53050Darnell NurseJaccob Slavin55050
2Mathieu Joseph47050MacKenzie WeegarJeremy Lauzon45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mathew BarzalJake Debrusk50023
2Andrew CoppMark Stone50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMacKenzie Weegar50023
2Jaccob SlavinGustav Forsling50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jared McCannMathew BarzalJake DebruskDarnell NurseMacKenzie Weegar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jared McCannMathew BarzalJake DebruskDarnell NurseMacKenzie Weegar
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathieu Joseph, Ondrej Kase, Tomas TatarRyan Hartman, Tomas TatarMathew Barzal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Djoos, Jeremy Lauzon, Gustav ForslingChristian DjoosJeremy Lauzon, Gustav Forsling
Tirs de pénalité
Mathew Barzal, Jake Debrusk, Mark Stone, Andrew Copp, Jared McCann
Gardien
#1 : Chris Driedger, #2 : Karel Vejmelka
Lignes d’attaque personnalisées en prolongation
Mathew Barzal, Jake Debrusk, Mark Stone, Andrew Copp, Jared McCann, Ryan Hartman, Ryan Hartman, Ondrej Kase, Tomas Tatar, , Mathieu Joseph
Lignes de défense personnalisées en prolongation
Darnell Nurse, MacKenzie Weegar, Jaccob Slavin, Josh Manson, Christian Djoos


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 Mighty Ducks2000020068-21000010034-11000010034-120.333611170014107122301815420235311327.27%9366.67%0895180149.69%915187648.77%480102047.06%523035193920
2Boston Bruins21000001330110000002111000000112-140.667347000120651329232801320437114.29%10190.00%0895180149.69%915187648.77%480102047.06%442443183619
3Carolina Hurricanes604001011118-73020000147-330200100711-420.1111118290032601947251694183594615618211.11%23482.61%0895180149.69%915187648.77%480102047.06%132771285310452
4Chicago Blackhawks4210010010100211000005502100010055070.583101424004420112275332010431349512325.00%120100.00%0895180149.69%915187648.77%480102047.06%874981367136
5Colorado Avalanche42200000810-22110000035-22110000055060.500814221014301214443340128466170600.00%23386.96%2895180149.69%915187648.77%480102047.06%784190367034
6Columbus Blue Jackets404000001119-820200000510-52020000069-300.000111930003260116294245012528648510330.00%27774.07%0895180149.69%915187648.77%480102047.06%824487377034
7Dallas Stars21100000550110000004221010000013-230.50059140021205014191706514103612325.00%5260.00%0895180149.69%915187648.77%480102047.06%422442173419
8Detroit Red Wings421001001394211000006512100010074370.583131932001750118394138012641478816425.00%21480.95%0895180149.69%915187648.77%480102047.06%814691386731
9Edmonton Oilers22000000523110000003121100000021161.0005813000230471615160592318516233.33%90100.00%0895180149.69%915187648.77%480102047.06%392146193316
10Hamilton Mustangs2020000035-21010000012-11010000023-100.00036900003053221318048132836800.00%9366.67%0895180149.69%915187648.77%480102047.06%412243193517
11Los Angeles Kings2020000059-41010000034-11010000025-300.0005813004010632527110782127369111.11%9366.67%0895180149.69%915187648.77%480102047.06%422543183316
12Minnesota Wild4400000014682200000062422000000844121.000142337005270107303542012840498115426.67%17288.24%1895180149.69%915187648.77%480102047.06%814587387035
13Montreal Canadiens2020000037-41010000014-31010000023-100.00035800021066252813057291842900.00%9277.78%0895180149.69%915187648.77%480102047.06%472738163317
14New York Islanders651000002011933000000135832100000761150.83320355500210801905076640181565513724625.00%15286.67%0895180149.69%915187648.77%480102047.06%129761285410150
15New York Rangers615000001018-83030000039-63120000079-230.1671015251034301706151580205607613217423.53%33972.73%0895180149.69%915187648.77%480102047.06%12370138559846
16Philadelphia Flyers605010001522-7302010001011-130300000511-620.1111524390028411745854611196665814215320.00%29775.86%2895180149.69%915187648.77%480102047.06%128751325310349
17Pittsburgh Penguins2110000024-2110000001011010000014-330.50023501011071162431066282138400.00%8187.50%0895180149.69%915187648.77%480102047.06%422443183315
18Quebec Nordiques2020000035-21010000023-11010000012-100.00036900021056102521072304038300.00%10190.00%0895180149.69%915187648.77%480102047.06%382249173213
19Seattle Kraken20001100440100010003211000010012-130.500461000003146181012661151241800.00%6183.33%0895180149.69%915187648.77%480102047.06%412144193719
20St Louis Blues40201100811-3201010005502010010036-330.25081220002501108175336211837367512325.00%12191.67%0895180149.69%915187648.77%480102047.06%824585367438
21Tampa Bay Lightning614000101117-63110001055030300000612-650.2781118290025321594460544184616013719315.79%26484.62%0895180149.69%915187648.77%480102047.06%119641335811253
22Toronto Maple Leafs210010001165100010004311100000073450.8331119300044216319261625826195611327.27%7271.43%0895180149.69%915187648.77%480102047.06%432543183618
23Vegas Golden Knights211000006511010000023-11100000042230.50069150012305419152006417325011218.18%11463.64%0895180149.69%915187648.77%480102047.06%422341193517
Total78244004712187214-27391319041119498-43911210060193116-23910.389187305492214072706227469082074922244077485417182635019.01%3406680.59%5895180149.69%915187648.77%480102047.06%164793117037241368675
_Since Last GM Reset78244004712187214-27391319041119498-43911210060193116-23910.389187305492214072706227469082074922244077485417182635019.01%3406680.59%5895180149.69%915187648.77%480102047.06%164793117037241368675
_Vs Conference4210260211292116-2421611020114650-421415001014666-20390.3109215324511163934412613904374281313304414419571352216.30%1793679.89%2895180149.69%915187648.77%480102047.06%891511923387728354
_Vs Division30719011116786-191548010113537-215311001003249-17270.300671101771012292438872852923069949302295704931819.35%1262679.37%2895180149.69%915187648.77%480102047.06%633364660277519252

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7891W118730549222742440774854171821
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7824404712187214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
39131941119498
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
391121060193116
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2635019.01%3406680.59%5
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
690820749224072706
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
895180149.69%915187648.77%480102047.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
164793117037241368675


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
1 - 2022-12-293Florida Panthers4New York Islanders2AWSommaire du match
3 - 2022-12-3114Philadelphia Flyers4Florida Panthers3BLSommaire du match
5 - 2023-01-0227Florida Panthers1Tampa Bay Lightning4ALSommaire du match
7 - 2023-01-0438Carolina Hurricanes3Florida Panthers2BLSommaire du match
11 - 2023-01-0858Florida Panthers5Minnesota Wild3AWSommaire du match
13 - 2023-01-1071Detroit Red Wings4Florida Panthers3BLSommaire du match
17 - 2023-01-1487Florida Panthers3Colorado Avalanche1AWSommaire du match
18 - 2023-01-1593Colorado Avalanche2Florida Panthers3BWSommaire du match
20 - 2023-01-17106New York Rangers5Florida Panthers2BLSommaire du match
22 - 2023-01-19117New York Islanders1Florida Panthers3BWSommaire du match
24 - 2023-01-21127Florida Panthers2New York Rangers3ALSommaire du match
26 - 2023-01-23140Florida Panthers3Carolina Hurricanes5ALSommaire du match
28 - 2023-01-25156Tampa Bay Lightning1Florida Panthers2BWXXSommaire du match
30 - 2023-01-27167Florida Panthers2Philadelphia Flyers4ALSommaire du match
32 - 2023-01-29177Florida Panthers2Tampa Bay Lightning4ALSommaire du match
34 - 2023-01-31191Carolina Hurricanes2Florida Panthers1BLSommaire du match
36 - 2023-02-02202Florida Panthers2New York Rangers4ALSommaire du match
38 - 2023-02-04213Florida Panthers1New York Islanders3ALSommaire du match
40 - 2023-02-06224Florida Panthers2Philadelphia Flyers5ALSommaire du match
42 - 2023-02-08239Philadelphia Flyers4Florida Panthers3BLSommaire du match
45 - 2023-02-11247Hamilton Mustangs2Florida Panthers1BLSommaire du match
48 - 2023-02-14259Florida Panthers1Quebec Nordiques2ALSommaire du match
51 - 2023-02-17271Boston Bruins1Florida Panthers2BWSommaire du match
54 - 2023-02-20283Florida Panthers1Pittsburgh Penguins4ALSommaire du match
57 - 2023-02-23291Anaheim Mighty Ducks4Florida Panthers3BLXSommaire du match
59 - 2023-02-25303Florida Panthers1Seattle Kraken2ALXSommaire du match
61 - 2023-02-27315Florida Panthers2New York Islanders1AWSommaire du match
62 - 2023-02-28318New York Islanders2Florida Panthers4BWSommaire du match
67 - 2023-03-05345Los Angeles Kings4Florida Panthers3BLSommaire du match
69 - 2023-03-07357Florida Panthers2Edmonton Oilers1AWSommaire du match
71 - 2023-03-09369Florida Panthers1Dallas Stars3ALSommaire du match
73 - 2023-03-11381Vegas Golden Knights3Florida Panthers2BLSommaire du match
75 - 2023-03-13393Florida Panthers2Montreal Canadiens3ALSommaire du match
77 - 2023-03-15405Toronto Maple Leafs3Florida Panthers4BWXSommaire du match
79 - 2023-03-17411Minnesota Wild1Florida Panthers3BWSommaire du match
81 - 2023-03-19421Florida Panthers6Detroit Red Wings2AWSommaire du match
83 - 2023-03-21435Florida Panthers2St Louis Blues4ALSommaire du match
85 - 2023-03-23447Florida Panthers5Columbus Blue Jackets6ALSommaire du match
87 - 2023-03-25457Chicago Blackhawks2Florida Panthers3BWSommaire du match
90 - 2023-03-28473Florida Panthers2Chicago Blackhawks1AWSommaire du match
92 - 2023-03-30481New York Rangers1Florida Panthers0BLSommaire du match
96 - 2023-04-03494Florida Panthers2Carolina Hurricanes3ALSommaire du match
100 - 2023-04-07513Florida Panthers1Detroit Red Wings2ALXSommaire du match
103 - 2023-04-10531Minnesota Wild1Florida Panthers3BWSommaire du match
104 - 2023-04-11537Florida Panthers3Minnesota Wild1AWSommaire du match
107 - 2023-04-14551Detroit Red Wings1Florida Panthers3BWSommaire du match
109 - 2023-04-16559Columbus Blue Jackets5Florida Panthers3BLSommaire du match
111 - 2023-04-18567Edmonton Oilers1Florida Panthers3BWSommaire du match
113 - 2023-04-20579Florida Panthers4Vegas Golden Knights2AWSommaire du match
115 - 2023-04-22591Florida Panthers2Los Angeles Kings5ALSommaire du match
118 - 2023-04-25603Tampa Bay Lightning1Florida Panthers2BWSommaire du match
121 - 2023-04-28617Chicago Blackhawks3Florida Panthers2BLSommaire du match
123 - 2023-04-30628St Louis Blues2Florida Panthers1BLSommaire du match
126 - 2023-05-03641Florida Panthers1Columbus Blue Jackets3ALSommaire du match
128 - 2023-05-05652St Louis Blues3Florida Panthers4BWXSommaire du match
130 - 2023-05-07663Tampa Bay Lightning3Florida Panthers1BLSommaire du match
132 - 2023-05-09675Florida Panthers2Hamilton Mustangs3ALSommaire du match
134 - 2023-05-11687Quebec Nordiques3Florida Panthers2BLSommaire du match
136 - 2023-05-13699Florida Panthers1Boston Bruins2ALXXSommaire du match
138 - 2023-05-15711Montreal Canadiens4Florida Panthers1BLSommaire du match
141 - 2023-05-18729Florida Panthers3Anaheim Mighty Ducks4ALXSommaire du match
143 - 2023-05-20743Pittsburgh Penguins0Florida Panthers1BWSommaire du match
144 - 2023-05-21747Seattle Kraken2Florida Panthers3BWXSommaire du match
146 - 2023-05-23759Dallas Stars2Florida Panthers4BWSommaire du match
149 - 2023-05-26777Florida Panthers7Toronto Maple Leafs3AWSommaire du match
151 - 2023-05-28782Florida Panthers1St Louis Blues2ALXSommaire du match
154 - 2023-05-31795Florida Panthers3Chicago Blackhawks4ALXSommaire du match
157 - 2023-06-03807Colorado Avalanche3Florida Panthers0BLSommaire du match
160 - 2023-06-06819Columbus Blue Jackets5Florida Panthers2BLSommaire du match
162 - 2023-06-08831Florida Panthers2Colorado Avalanche4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165 - 2023-06-11842Florida Panthers1Philadelphia Flyers2ALSommaire du match
166 - 2023-06-12848Philadelphia Flyers3Florida Panthers4BWXSommaire du match
169 - 2023-06-15870New York Islanders2Florida Panthers6BWSommaire du match
171 - 2023-06-17878Carolina Hurricanes2Florida Panthers1BLXXSommaire du match
172 - 2023-06-18884Florida Panthers2Carolina Hurricanes3ALXSommaire du match
176 - 2023-06-22903Florida Panthers3Tampa Bay Lightning4ALSommaire du match
179 - 2023-06-25919New York Rangers3Florida Panthers1BLSommaire du match
180 - 2023-06-26931Florida Panthers3New York Rangers2AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets95553525190
Assistance217,584182,13671,929143,97646,763
Attendance PCT93.92%96.09%93.15%93.22%95.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 16984 - 94.36% 1,171,534$45,689,845$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
65,750,540$ 62,830,000$ 62,830,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 65,750,540$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 347,127$ 347,127$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
354,973$ 58,091,829$ 57,736,856$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jared McCannAGE:26PO:0OV:74
Ondrej KaseAGE:26PO:0OV:73
Ryan HartmanAGE:27PO:0OV:73
Mathieu JosephAGE:25PO:0OV:71
Brendan LemieuxAGE:26PO:0OV:69
William CarrierAGE:27PO:0OV:69
Parker Kelly (R)AGE:23PO:0OV:69
Daniel WinnikAGE:37PO:0OV:65
Liam O'BrienAGE:27PO:0OV:63
Mathew BarzalAGE:25PO:0OV:81
Andrew CoppAGE:27PO:0OV:76
Anze KopitarAGE:34PO:0OV:71
Blake ColemanAGE:30PO:0OV:69
Stephane Da CostaAGE:32PO:0OV:69
Scott LaughtonAGE:28PO:0OV:69
Mike Hardman (R)AGE:23PO:0OV:68
Nate ThompsonAGE:37PO:0OV:65
Brett SutterAGE:35PO:0OV:65
Jake DebruskAGE:25PO:0OV:78
Mark StoneAGE:30PO:0OV:76
Tomas TatarAGE:31PO:0OV:72
James NealAGE:34PO:0OV:71
Patrick MaroonAGE:34PO:0OV:68
Victor EjdsellAGE:27PO:0OV:65
Nick FolignoAGE:34PO:0OV:65
Nicklas BergforsAGE:34PO:0OV:65

Défense #1Défense #2Gardien
MacKenzie WeegarAGE:28PO:0OV:77
Darnell NurseAGE:27PO:0OV:77
Jaccob SlavinAGE:28PO:0OV:75
Josh MansonAGE:30PO:0OV:74
Christian DjoosAGE:27PO:0OV:73
Gustav ForslingAGE:26PO:0OV:73
Jeremy LauzonAGE:25PO:0OV:73
Robert BortuzzoAGE:33PO:0OV:72
Kevin ConnautonAGE:32PO:0OV:72
Mirco MuellerAGE:27PO:0OV:69
Dennis GilbertAGE:25PO:0OV:68
Linus Hogberg (R)AGE:23PO:0OV:68
Austin StrandAGE:25PO:0OV:67
Mikko LehtonenAGE:28PO:0OV:66
Chris DriedgerAGE:28PO:0OV:78
Karel VejmelkaAGE:26PO:0OV:76
Jack CampbellAGE:30PO:0OV:73
Joey DaccordAGE:25PO:0OV:73
Jon GilliesAGE:28PO:0OV:72

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
0x RFA Tag (Jake Debrusk Y26)Florida Panthers
3x TC PTSFlorida Panthers
Benjamin KingFlorida Panthers22138Lien
Connor GeekieFlorida Panthers2210Lien
Devon LeviFlorida Panthers2155Lien
Filip BystedtFlorida Panthers2233Lien
Joey AndersonFlorida Panthers1861
Kaiden GuhleFlorida Panthers2020
Lukas SvejkovskyFlorida Panthers22142Lien
Mark KastelicFlorida Panthers2292Lien
Michael MilneFlorida Panthers22167Lien
Owen PowerFlorida Panthers212Lien
Patrick GuayFlorida Panthers22165Lien
Xavier BourgaultFlorida Panthers2123Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
23
24
25
26
27




La base de données des nouvelles du STHS n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.




Florida Panthers Historique de transactions




[7/6/2023 10:24:33 AM] Game 931 - Parker Kelly from Norfolk Admirals is injured (Back) and is out for 1 week.
[7/5/2023 10:29:46 AM] Brendan Lemieux from Norfolk Admirals completes suspension
[7/4/2023 1:58:49 PM] $1,125,000 was added to Florida Panthers bank account.
[6/30/2023 11:02:58 AM] Auto Lines Function has been run for Norfolk Admirals.
[6/30/2023 11:02:58 AM] Norfolk Admirals (Florida Panthers) lines errors : Normal line # 1 LW is empty. PP line1 LW is empty. PK line 1 C is empty. 4 vs 4 line 1 C is empty. PK3 line 1 RW is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. Penalty Shot Player #1 is empty. OT Forward #1 is empty.
[6/29/2023 10:06:36 AM] Game 878 - Brendan Lemieux from Norfolk Admirals suspended for 3 game(s)



Parker Kelly est dehors pour 4 jours à cause de Back 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