Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
Islanders
33-26-9, 75pts
3
FINAL
5 Panthers
38-26-7, 83pts
Team Stats
W1StreakOTL1
15-14-6Home Record20-13-4
18-12-3Away Record18-13-3
4-5-1Last 10 Games6-2-2
3.53Goals Per Game3.30
3.40Goals Against Per Game2.92
17.00%Power Play Percentage16.37%
82.60%Penalty Kill Percentage80.88%
Oilers
41-20-6, 88pts
3
FINAL
2 Panthers
38-26-7, 83pts
Team Stats
OTW1StreakOTL1
24-9-2Home Record20-13-4
17-11-4Away Record18-13-3
9-0-1Last 10 Games6-2-2
3.36Goals Per Game3.30
2.57Goals Against Per Game2.92
19.00%Power Play Percentage16.37%
83.51%Penalty Kill Percentage80.88%
Panthers
38-26-7, 83pts
Jour 148
Jets
39-26-3, 81pts
Stats Équipe
OTL1SéquenceL2
20-13-4Fiche domicile20-12-1
18-13-3Fiche visiteur19-14-2
6-2-210 derniers matchs4-6-0
3.30Buts par match 3.19
2.92Buts contre par match 2.97
16.37%Pourcentage en avantage numérique17.49%
80.88%Pourcentage en désavantage numérique78.27%
Jets
39-26-3, 81pts
Jour 149
Panthers
38-26-7, 83pts
Stats Équipe
L2SéquenceOTL1
20-12-1Fiche domicile20-13-4
19-14-2Fiche visiteur18-13-3
4-6-010 derniers matchs6-2-2
3.19Buts par match 3.30
2.97Buts contre par match 2.92
17.49%Pourcentage en avantage numérique16.37%
78.27%Pourcentage en désavantage numérique80.88%
Panthers
38-26-7, 83pts
Jour 154
Devils
38-24-7, 83pts
Stats Équipe
OTL1SéquenceW3
20-13-4Fiche domicile19-11-4
18-13-3Fiche visiteur19-13-3
6-2-210 derniers matchs6-3-1
3.30Buts par match 3.49
2.92Buts contre par match 3.13
16.37%Pourcentage en avantage numérique19.45%
80.88%Pourcentage en désavantage numérique82.76%
Meneurs d'équipe
Kent JohnsonButs
Kent Johnson
28
Pierre-Luc DuboisPasses
Pierre-Luc Dubois
39
Kent JohnsonPoints
Kent Johnson
63
Kent JohnsonPlus/Moins
Kent Johnson
30
Connor HellebuyckVictoires
Connor Hellebuyck
35
Connor HellebuyckPourcentage d’arrêts
Connor Hellebuyck
0.905

Stats Équipe
Buts pour
234
3.30 GFG
Tirs pour
2238
31.52 Avg
Pourcentage en avantage numérique
16.4%
56 GF
Début de zone offensive
41.7%
Buts contre
207
2.92 GAA
Tirs contre
2058
28.99 Avg
Pourcentage en désavantage numérique
80.9%
61 GA
Début de la zone défensive
39.9%


Blessure/Suspension
Aaron Ekblad


Aaron Ekblad

est dehors pour 1 semaine à cause de Right Foot Injury.
Mark Stone


Mark Stone

est dehors pour 1 jours à cause de Exhaustion.
Information d’équipe
Directeur généralJean-Francis Grondin
EntraîneurScott Arniel
DivisionAtlantic
ConférenceEastern
CapitaineMark Stone
Assistant #1Tyler Seguin
Assistant #2Alex Pietrangelo
Uniformes
Informations de l’aréna
NomSynergy Center
Capacité25,000
Assistance15,792
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure26
Limite contact 47 / 50
Espoirs26
Plafond salarial
Cap Salarial de la Saison estimé85,120,814$
Plafond salarial disponible4,879,186$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial19
Finance
Revenu annuel à ce jour66,250,050$
Dépenses annuelles à ce jour69,747,546$
Revenus de la saison estimés7,162,168$
Dépenses de la saison estimées15,873,270$
Compte bancaire actuel23,251,095$
Compte bancaire projeté14,009,857$
Historique d'équipe
Saison actuelle38-26-7 (83PTS)
Historique861-697-143 (0.506%)
Apparitions séries éliminatoires 10
Historique séries éliminatoires (W-L)33-45
Stanley Cup0


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
1Tyler Seguin (A)X97.0046518693668257888889877986888530247803327,500,000$
2Pierre-Luc DuboisX100.0059577185798499788586707584768060297502736,500,000$
3Chandler StephensonX100.0050498487628796728780647969848640467303136,000,000$
4Mason MarchmentX100.0070597384778085764073797040828145497303013,000,000$
5Kent JohnsonX100.004143859151848979408079759068768033730231925,000$
6Dmitri VoronkovX100.006363758185829371776776724072777038710251750,000$
7Carter VerhaegheX100.0067467986578498724073706340828345297003036,660,000$
8Bobby BrinkX100.0069388487407997664070626769707575466802433,250,000$
9Ondrej PalatX100.0078478781587796604054667353908425466703442,000,000$
10Casey CizikasX100.0098517879567799549050577373908425296603421,500,000$
11Jaccob SlavinX100.0046538878718698604062599764848540467503137,000,000$
12Alex Pietrangelo (A)X100.0054558580758792654073578540929020467403518,750,000$
13Connor CliftonX100.0099497879577793544057528140828045427203023,000,000$
14Dylan DemeloX100.0079488178608699554056558240868635467203224,000,000$
15Jalen ChatfieldX100.0059547678638197564051617840808150476902911,550,000$
16Tyler TuckerX100.009082617765746954404960764072737024680251842,000$
Rayé
1Mark Stone (C)X94.0051548691728788874099748464888830448003341$
2Clayton KellerX96.0043408399458798914099806557768260477802736,500,000$
3Aaron EkbladX86.2978617181798981704084578740808550197602958,000,000$
Équipe Mineure
1Dryden HuntX100.009954748459605066407057704082714525650302575,000$
2Justin BrazeauX100.0078618575877495574052626540767560226402711,900,000$
3Beck MalenstynX100.009956827572729550404654704076746022620271900,000$
4James HamblinX100.005143818348605061706261709974676522620261786,500$
5Julien GauthierX100.0095598475826050594052656040786955226202821,000,000$
6Mitchell ChaffeeX100.008753847865758856404765584076766022620271847,000$
7Matt RempeX100.009991587599697253405056654068698021620231700,000$
8Zack MacEwenX100.009588707583675751404458644080745021600292800,000$
9Raphael LavoieX100.0080687175776050514040635340726670225702511,119,250$
10Brandon BiroX100.005350837844655550406139589076716022560271786,500$
11Chase DeLeoX100.007542897555605044404444574082714522540301600,000$
12Scott ReedyX100.0049528475736050404036436640746765245302611,001,000$
13Sam MalinskiX100.0058458679547695544051587540767660306602741,250,000$
14Robert BortuzzoX100.0069776475726855504050506840948115216403631,000,000$
15Jaycob MegnaX100.007259837583686336403834704088783022630333950,000$
16Ty Nelson (R)X100.006150778956767145405040704064709022630212750,000$
17Ville HeinolaX100.0050448675527455474045507540707275226102411,119,250$
18John LudvigX100.0091837775705550424049346540726470216002511,119,250$
19Filip RoosX100.005950787569726735404130604074736519580261695,750$
20Reese JohnsonX100.009967747559645435403536564076706019520271847,000$
21Maxim GroshevX100.005445837564655538403045599970687519520242925,000$
22Jacob PerreaultX100.0065567175596050384041365099686480205102311,119,250$
MOYENNE D’ÉQUIPE99.34705679806674765846585770537876543066
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
1Connor Hellebuyck98.009499999596979696959686869235639303238,000,000$
2Justus Annunen100.008871709575676169706640727070637202532,500,000$
Rayé
Équipe Mineure
1Jesper Vikman100.00815060945050505050505068598022580231750,000$
2Thomas Milic100.00905060825050505050505066588528570222925,000$
3Dylan Ferguson100.00755060865050505050504076636020570272575,000$
4Ty Young (R)100.00755060875050505050504064579020560212750,000$
MOYENNE D’ÉQUIPE99.6784626890626160616160517267703666
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel82999792988444CAN632500,000$


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
1Kent JohnsonPanthersRW63283563304012942215414912.67%9112517.8671017602381015903335.71%8400001.1212000546
2Clayton KellerPanthersLW7028336112220641502335917412.02%7150421.4998175628510141925327.67%15900000.8127000414
3Pierre-Luc DuboisPanthersC67163955984101271131523913210.53%5131719.66616224627001111125054.37%85900000.8414011153
4Mark StonePanthersRW69193655-723573147224761618.48%25157922.89417214526801132303032.70%52600000.7016001151
5Chandler StephensonPanthersC711934531710034149172479911.05%15123417.392792817200061667154.88%164000000.8611000432
6Mason MarchmentPanthersLW7118314911931520675182531519.89%9128918.177714542580001402241.11%9000000.7612003650
7Jaccob SlavinPanthersD7112364811201662108307611.11%127177625.0381220553020222280100.00%000010.5400000102
8Alex PietrangeloPanthersD711132439160229097276911.34%94160422.605813452781123256200.00%000000.5400000252
9Tyler SeguinPanthersC56182442-110040160208561618.65%13121821.7659144520102271722154.13%152600000.6914000221
10Aaron EkbladPanthersD6383240214315218518419499.52%80151023.9841317542710000192100.00%000000.5300110115
11Dmitri VoronkovPanthersLW71171734947154856114408214.91%283411.761124290000471046.67%7500100.8100030113
12Carter VerhaeghePanthersRW6911142516280706389246112.36%180411.650003160000100041.27%6300000.6200000010
13Dylan DemeloPanthersD717162318900163447220409.72%62118816.740001799000098100.00%000000.3900000212
14Tyler TuckerPanthersD6551520-1013525178386524447.69%58102215.73033221050110105010.00%000000.3900131121
15Connor CliftonPanthersD7141519221275227336718365.97%69132618.68246332020000163000.00%000000.2900000201
16Jalen ChatfieldPanthersD715131811375453145123611.11%4599213.9800007101179000.00%000000.3600001012
17Bobby BrinkPanthersRW714111516026447014305.71%34826.7900023000021029.63%2700000.6211000110
18Ondrej PalatPanthersLW70459-46028314920328.16%44266.09000160000361032.00%5000000.4200000020
19Casey CizikasPanthersC66358-3380815330151810.00%95117.74000030000291054.81%52000000.3101000000
20Sam MalinskiCheckers (Fla)D20022200826220.00%81477.3900000000017000.00%000000.2700000000
21Beck MalenstynCheckers (Fla)LW5011000212010.00%0163.250000000003000.00%200001.2300000000
22Dryden HuntCheckers (Fla)C9011-220775140.00%0566.3300000000000033.82%6800000.3500000000
23Justin BrazeauCheckers (Fla)RW4000100111110.00%0235.91000000000000100.00%100000.0000000000
24Matt RempeCheckers (Fla)C4000120710000.00%0379.4800001000000025.00%400000.0000000000
Statistiques d’équipe totales ou en moyenne133923744768414593595170314962296651160810.32%6452203016.456011517557030244812332329361150.42%569400110.62928287344035
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
1Connor HellebuyckPanthers61352150.9052.7236894116717670200.813166110541
2Justus AnnunenPanthers103520.8763.5461001362900010.667121061100
Statistiques d’équipe totales ou en moyenne71382670.9012.8343004220320570210.750287171641


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 Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Aaron Ekblad (sur la masse salariale)PanthersD291996-02-07No220 Lbs6 ft4NoNoYes5Pro Only8,000,000$8,000,000$1,573,034$No8,000,000$8,000,000$8,000,000$8,000,000$
UFA
Lien / Lien NHL
Alex PietrangeloPanthersD351990-01-18No215 Lbs6 ft3NoNoYes1Pro Only8,750,000$8,750,000$1,720,506$No
UFA
Lien / Lien NHL
Bobby BrinkPanthersRW242001-07-08No169 Lbs5 ft8NoNoYes3Pro & Farm3,250,000$3,250,000$639,045$No3,250,000$3,250,000$
RFA
Lien / Lien NHL
Carter VerhaeghePanthersRW301995-08-14No183 Lbs6 ft2NoNoYes3Pro Only6,660,000$6,660,000$1,309,551$No6,660,000$6,660,000$
UFA
Lien / Lien NHL
Casey CizikasPanthersC341991-02-27No194 Lbs5 ft11YesNoNo2Pro & Farm1,500,000$1,500,000$294,944$No1,500,000$
UFA
Lien / Lien NHL
Chandler StephensonPanthersC311994-04-22No201 Lbs6 ft0NoNoYes3Pro Only6,000,000$6,000,000$1,179,775$No6,000,000$6,000,000$
UFA
Lien / Lien NHL
Clayton KellerPanthersLW271998-07-29No175 Lbs5 ft10NoNoYes3Pro Only6,500,000$6,500,000$1,278,090$No6,500,000$6,500,000$
UFA
Lien / Lien NHL
Connor CliftonPanthersD301995-04-28No195 Lbs5 ft11NoNoYes2Pro & Farm3,000,000$3,000,000$589,888$No3,000,000$
UFA
Lien / Lien NHL
Connor HellebuyckPanthersG321993-05-19No207 Lbs6 ft4NoNoYes3Pro Only8,000,000$8,000,000$1,573,034$No8,000,000$8,000,000$
UFA
Lien / Lien NHL
Dmitri VoronkovPanthersLW252000-09-10No227 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$147,472$No
RFA
Lien / Lien NHL
Dylan DemeloPanthersD321993-05-01No194 Lbs6 ft1NoNoYes2Pro & Farm4,000,000$4,000,000$786,517$No4,000,000$
UFA
Lien / Lien NHL
Jaccob SlavinPanthersD311994-05-01No207 Lbs6 ft3NoNoYes3Pro Only7,000,000$7,000,000$1,376,404$No7,000,000$7,000,000$
UFA
Lien / Lien NHL
Jalen ChatfieldPanthersD291996-05-15No199 Lbs6 ft1NoNoNo1Pro & Farm1,550,000$1,550,000$304,775$No
UFA
Lien / Lien NHL
Justus AnnunenPanthersG252000-03-11No210 Lbs6 ft4NoNoYes3Pro & Farm2,500,000$2,500,000$491,573$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Kent JohnsonPanthersRW232002-10-18No180 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$181,882$No
RFA
Lien / Lien NHL
Mark Stone (sur la masse salariale)PanthersRW331992-05-13No210 Lbs6 ft3YesNoYes4Pro Only1$1$0$No10,000,000$10,000,000$10,000,000$
UFA
Lien / Lien NHL
Mason MarchmentPanthersLW301995-06-18No212 Lbs6 ft5NoNoYes1Pro & Farm3,000,000$3,000,000$589,888$No
UFA
Lien / Lien NHL
Ondrej PalatPanthersLW341991-03-28No194 Lbs6 ft0YesNoNo4Pro & Farm2,000,000$2,000,000$393,258$No2,000,000$2,000,000$2,000,000$
UFA
Lien / Lien NHL
Pierre-Luc DuboisPanthersC271998-06-24No220 Lbs6 ft4NoNoYes3Pro Only6,500,000$6,500,000$1,278,090$No6,500,000$6,500,000$
UFA
Lien / Lien NHL
Tyler SeguinPanthersC331992-01-31No201 Lbs6 ft2NoNoYes2Pro Only7,500,000$7,500,000$1,474,719$No7,500,000$
UFA
Lien / Lien NHL
Tyler TuckerPanthersD252000-03-01No204 Lbs6 ft1NoNoNo1Pro & Farm842,000$842,000$165,562$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.48201 Lbs6 ft22.434,201,286$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
88,227,001$82,410,000$66,410,000$20,000,000$8,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MarchmentTyler Seguin40122
2Dmitri VoronkovPierre-Luc DuboisKent Johnson30122
3Ondrej PalatChandler StephensonCarter Verhaeghe20122
4Casey CizikasBobby Brink10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob Slavin40122
2Alex PietrangeloDylan Demelo30122
3Connor CliftonJalen Chatfield20122
4Tyler Tucker10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MarchmentTyler Seguin60122
2Dmitri VoronkovPierre-Luc DuboisKent Johnson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob Slavin60122
2Alex PietrangeloDylan Demelo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler Seguin60122
2Pierre-Luc DuboisKent Johnson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob Slavin60122
2Alex PietrangeloDylan Demelo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jaccob Slavin60122
2Tyler Seguin40122Alex PietrangeloDylan Demelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler Seguin60122
2Pierre-Luc DuboisKent Johnson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob Slavin60122
2Alex PietrangeloDylan Demelo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason MarchmentTyler SeguinJaccob Slavin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason MarchmentTyler SeguinJaccob Slavin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chandler Stephenson, Carter Verhaeghe, Ondrej PalatChandler Stephenson, Carter VerhaegheOndrej Palat
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Clifton, Jalen Chatfield, Tyler TuckerConnor CliftonJalen Chatfield, Tyler Tucker
Tirs de pénalité
, Tyler Seguin, Pierre-Luc Dubois, Kent Johnson, Mason Marchment
Gardien
#1 : Connor Hellebuyck, #2 : Justus Annunen


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
1Avalanche22000000954110000004131100000054141.000916250033307522282506017223910220.00%10190.00%01339255052.51%1205243549.49%597112553.07%523642142512
2Blackhawks211000005411010000012-11100000042220.500591400311069262518055122243900.00%11372.73%01339255052.51%1205243549.49%597112553.07%523742132412
3BlueJackets211000007701010000045-11100000032120.50071320001420591424210481324391119.09%11281.82%11339255052.51%1205243549.49%597112553.07%483446152412
4Blues20100010660100000104311010000023-120.5006915001311571825116501726431218.33%8275.00%01339255052.51%1205243549.49%597112553.07%523545162713
5Bruins41200010814-62010001037-42110000057-240.500813210021441163437401413040288211218.18%14657.14%01339255052.51%1205243549.49%597112553.07%9365101295023
6Canadiens411010011617-1200010019902110000078-150.62516294500645112843423881354240691417.14%18761.11%01339255052.51%1205243549.49%597112553.07%976796305326
7Canucks11000000202000000000001100000020221.00024601020023710603791223300.00%60100.00%01339255052.51%1205243549.49%597112553.07%2014287114
8Capitals22000000826110000003121100000051441.00081422003140742921240459114512325.00%30100.00%01339255052.51%1205243549.49%597112553.07%574237142413
9Devils2110000010732110000010730000000000020.5001017270053207123252306023255212325.00%9455.56%01339255052.51%1205243549.49%597112553.07%503445142413
10Ducks211000005501010000013-21100000042220.50058130001405717211906215304811218.18%15193.33%01339255052.51%1205243549.49%597112553.07%483246142413
11Flames21000100871110000004221000010045-130.750816240033209032312525520203913430.77%10280.00%01339255052.51%1205243549.49%597112553.07%604538132412
12Flyers210001006511000010023-11100000042230.750610160051005924201506215184211218.18%9188.89%01339255052.51%1205243549.49%597112553.07%473249152412
13GoldenKnights210000101055110000006241000001043141.0001016260044116117241955317245413430.77%12283.33%01339255052.51%1205243549.49%597112553.07%533746142412
14Hurricanes3030000049-52020000024-21010000025-300.0004812002110762216380863532671300.00%15193.33%01339255052.51%1205243549.49%597112553.07%684675223617
15Islanders2110000079-22110000079-20000000000020.50071219002140542316150702029508225.00%9188.89%01339255052.51%1205243549.49%597112553.07%463149142411
16Kings2020000037-41010000013-21010000024-200.0003470002105114172007426164410110.00%8275.00%01339255052.51%1205243549.49%597112553.07%473347142411
17Lightning33000000166102200000012571100000041361.00016284400646012141275308917445815426.67%12191.67%11339255052.51%1205243549.49%597112553.07%785663203718
18Mammoth22000000835110000004131100000042241.00081523003230662414280331416341119.09%80100.00%01339255052.51%1205243549.49%597112553.07%604334132514
19MapleLeafs412001001214-2211000006602010010068-230.37512223400723011943403609843207617317.65%10370.00%01339255052.51%1205243549.49%597112553.07%1077984274826
20Oilers2010010046-21000010023-11010000023-110.25048120030106720291535317303110220.00%13284.62%01339255052.51%1205243549.49%597112553.07%533744142513
21Penguins3210000013130110000006512110000078-140.6671325381033709331342808620326318527.78%16475.00%11339255052.51%1205243549.49%597112553.07%765366213619
22Predators21100000633110000006241010000001-120.5006111700231054261612067192042600.00%90100.00%01339255052.51%1205243549.49%597112553.07%463250152311
23Rangers22000000514110000003031100000021141.00051015013110632717190588203412216.67%90100.00%01339255052.51%1205243549.49%597112553.07%493444142613
24RedWings30200001612-61000000123-12020000049-510.16761117003210842525316852228721400.00%13469.23%01339255052.51%1205243549.49%597112553.07%795669203618
25Sabres41300000151232110000010462020000058-320.250152843005730130514138012528358918422.22%14471.43%01339255052.51%1205243549.49%597112553.07%987092284823
26Senators42000011171072100001011562100000165170.8751729460075421565646481111445348223313.04%17476.47%11339255052.51%1205243549.49%597112553.07%1087791285025
27Sharks22000000954110000004311100000052341.000916250052206521192505813143912216.67%60100.00%01339255052.51%1205243549.49%597112553.07%544043132212
28Stars2010100058-31010000026-41000100032120.500510150003114010151416746131500.00%14471.43%01339255052.51%1205243549.49%597112553.07%463149132512
29Wild2110000045-11010000013-21100000032120.500471100211060211821043929378225.00%100100.00%01339255052.51%1205243549.49%597112553.07%493545142412
Total71322602443234207273716130123213010723341613012111041004830.5852344186521289706910223876172372556205858976214673425616.37%3196180.88%41339255052.51%1205243549.49%597112553.07%180512781618511882444
_Since Last GM Reset71322602443234207273716130123213010723341613012111041004830.5852344186521289706910223876172372556205858976214673425616.37%3196180.88%41339255052.51%1205243549.49%597112553.07%180512781618511882444
_Vs Conference441917012231501381224108011229073172099001016065-5490.55715026941911604047714034864314673912913804209202093516.75%1794276.54%41339255052.51%1205243549.49%597112553.07%11077841013316548276
_Vs Division2691001123908551353010225339141347001013746-9280.53890160250003625267854293258284397762372295281121715.18%982970.41%21339255052.51%1205243549.49%597112553.07%663474598184325163

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7183OTL123441865222382058589762146712
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7132262443234207
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3716131232130107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3416131211104100
Derniers 10 matchs
WLOTWOTL SOWSOL
520111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3425616.37%3196180.88%4
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
7617237255689706910
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
1339255052.51%1205243549.49%597112553.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
180512781618511882444


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
16Devils3Panthers7BWSommaire du match
323Islanders6Panthers2BLSommaire du match
645Capitals1Panthers3BWSommaire du match
858Panthers4Bruins3AWSommaire du match
1080Panthers5Senators3AWSommaire du match
1291Panthers2Canadiens4ALSommaire du match
13102Panthers2MapleLeafs3ALSommaire du match
15113Bruins2Panthers3BWXXSommaire du match
17130Mammoth1Panthers4BWSommaire du match
19143Panthers3Stars2AWXSommaire du match
21155Panthers4Ducks2AWSommaire du match
22166Panthers2Kings4ALSommaire du match
24188Panthers5Sharks2AWSommaire du match
28210RedWings3Panthers2BLXXSommaire du match
30227Wild3Panthers1BLSommaire du match
31230Panthers1Bruins4ALSommaire du match
33252Panthers3Penguins2AWSommaire du match
35258Senators1Panthers6BWSommaire du match
36268Hurricanes2Panthers1BLSommaire du match
38288Panthers4GoldenKnights3AWXXSommaire du match
40294Panthers4Mammoth2AWSommaire du match
41305Panthers5Avalanche4AWSommaire du match
43321Kings3Panthers1BLSommaire du match
45335Hurricanes2Panthers1BLSommaire du match
47351Sabres3Panthers2BLSommaire du match
49365Canadiens4Panthers5BWXSommaire du match
52389Flames2Panthers4BWSommaire du match
54402Stars6Panthers2BLSommaire du match
56416Lightning1Panthers6BWSommaire du match
57434Panthers5Capitals1AWSommaire du match
59441Penguins5Panthers6BWSommaire du match
61456Blues3Panthers4BWXXSommaire du match
64473GoldenKnights2Panthers6BWSommaire du match
65488Predators2Panthers6BWSommaire du match
72514Sharks3Panthers4BWSommaire du match
74529Panthers0Predators1ALSommaire du match
75537MapleLeafs4Panthers1BLSommaire du match
78556Panthers5Canadiens4AWSommaire du match
80572Panthers2Canucks0AWSommaire du match
82588Panthers4Flames5ALXSommaire du match
83592Panthers2Oilers3ALSommaire du match
85609Panthers4Penguins6ALSommaire du match
88629BlueJackets5Panthers4BLSommaire du match
90645Panthers3Sabres5ALSommaire du match
93668Panthers1RedWings4ALSommaire du match
95681Flyers3Panthers2BLXSommaire du match
96691Canadiens5Panthers4BLXXSommaire du match
98707Panthers4Blackhawks2AWSommaire du match
99719Panthers3RedWings5ALSommaire du match
101740Panthers4MapleLeafs5ALXSommaire du match
103746Panthers2Sabres3ALSommaire du match
106770MapleLeafs2Panthers5BWSommaire du match
108788Panthers3Wild2AWSommaire du match
110805Panthers2Blues3ALSommaire du match
113825Rangers0Panthers3BWSommaire du match
115835Avalanche1Panthers4BWSommaire du match
117850Bruins5Panthers0BLSommaire du match
120869Lightning4Panthers6BWSommaire du match
121881Sabres1Panthers8BWSommaire du match
123894Ducks3Panthers1BLSommaire du match
125907Devils4Panthers3BLSommaire du match
127917Blackhawks2Panthers1BLSommaire du match
128930Panthers2Hurricanes5ALSommaire du match
129953Panthers4Lightning1AWSommaire du match
131960Panthers1Senators2ALXXSommaire du match
133976Panthers2Rangers1AWSommaire du match
135988Panthers3BlueJackets2AWSommaire du match
1371007Panthers4Flyers2AWSommaire du match
1391015Senators4Panthers5BWXXSommaire du match
1401025Islanders3Panthers5BWSommaire du match
1421040Oilers3Panthers2BLXSommaire du match
1481080Panthers-Jets-
1491085Jets-Panthers-
1541119Panthers-Devils-
1571140Panthers-Islanders-
1581149Panthers-Rangers-
1611161RedWings-Panthers-
1621173Panthers-Capitals-
1651190Panthers-Flyers-
1681207Canucks-Panthers-
1691219BlueJackets-Panthers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1741254Panthers-Lightning-


Charte de profondeur
Ailier gaucheCentreAilier droit
Clayton Keller
Clayton Keller
AGE:27
SK:99
EN:87
DU:98
PH:91
PA:99
SC:80
DF:65
Mason Marchment
Mason Marchment
AGE:30
SK:84
EN:80
DU:85
PH:76
PA:73
SC:79
DF:70
Dmitri Voronkov
Dmitri Voronkov
AGE:25
SK:81
EN:82
DU:93
PH:71
PA:67
SC:76
DF:72
Ondrej Palat
Ondrej Palat
AGE:34
SK:81
EN:77
DU:96
PH:60
PA:54
SC:66
DF:73
Beck Malenstyn
Beck Malenstyn
AGE:27
SK:75
EN:72
DU:95
PH:50
PA:46
SC:54
DF:70
Zack MacEwen
Zack MacEwen
AGE:29
SK:75
EN:67
DU:57
PH:51
PA:44
SC:58
DF:64
Chase DeLeo
Chase DeLeo
AGE:30
SK:75
EN:60
DU:50
PH:44
PA:44
SC:44
DF:57
Maxim Groshev
Maxim Groshev
AGE:24
SK:75
EN:65
DU:55
PH:38
PA:30
SC:45
DF:59
Tyler Seguin
Tyler Seguin
AGE:33
SK:93
EN:82
DU:57
PH:88
PA:89
SC:87
DF:79
Pierre-Luc Dubois
Pierre-Luc Dubois
AGE:27
SK:85
EN:84
DU:99
PH:78
PA:86
SC:70
DF:75
Chandler Stephenson
Chandler Stephenson
AGE:31
SK:87
EN:87
DU:96
PH:72
PA:80
SC:64
DF:79
Casey Cizikas
Casey Cizikas
AGE:34
SK:79
EN:77
DU:99
PH:54
PA:50
SC:57
DF:73
Dryden Hunt
Dryden Hunt
AGE:30
SK:84
EN:60
DU:50
PH:66
PA:70
SC:57
DF:70
Matt Rempe
Matt Rempe
AGE:23
SK:75
EN:69
DU:72
PH:53
PA:50
SC:56
DF:65
James Hamblin
James Hamblin
AGE:26
SK:83
EN:60
DU:50
PH:61
PA:62
SC:61
DF:70
Mitchell Chaffee
Mitchell Chaffee
AGE:27
SK:78
EN:75
DU:88
PH:56
PA:47
SC:65
DF:58
Scott Reedy
Scott Reedy
AGE:26
SK:75
EN:60
DU:50
PH:40
PA:36
SC:43
DF:66
Reese Johnson
Reese Johnson
AGE:27
SK:75
EN:64
DU:54
PH:35
PA:35
SC:36
DF:56
Mark Stone
Mark Stone
AGE:33
SK:91
EN:87
DU:88
PH:87
PA:99
SC:74
DF:84
Kent Johnson
Kent Johnson
AGE:23
SK:91
EN:84
DU:89
PH:79
PA:80
SC:79
DF:75
Carter Verhaeghe
Carter Verhaeghe
AGE:30
SK:86
EN:84
DU:98
PH:72
PA:73
SC:70
DF:63
Bobby Brink
Bobby Brink
AGE:24
SK:87
EN:79
DU:97
PH:66
PA:70
SC:62
DF:67
Justin Brazeau
Justin Brazeau
AGE:27
SK:75
EN:74
DU:95
PH:57
PA:52
SC:62
DF:65
Julien Gauthier
Julien Gauthier
AGE:28
SK:75
EN:60
DU:50
PH:59
PA:52
SC:65
DF:60
Raphael Lavoie
Raphael Lavoie
AGE:25
SK:75
EN:60
DU:50
PH:51
PA:40
SC:63
DF:53
Brandon Biro
Brandon Biro
AGE:27
SK:78
EN:65
DU:55
PH:50
PA:61
SC:39
DF:58
Jacob Perreault
Jacob Perreault
AGE:23
SK:75
EN:60
DU:50
PH:38
PA:41
SC:36
DF:50

Défense #1Défense #2Gardien
Aaron Ekblad
Aaron Ekblad
AGE:29
SK:81
EN:89
DU:81
PH:70
PA:84
SC:57
DF:87
Jaccob Slavin
Jaccob Slavin
AGE:31
SK:78
EN:86
DU:98
PH:60
PA:62
SC:59
DF:97
Alex Pietrangelo
Alex Pietrangelo
AGE:35
SK:80
EN:87
DU:92
PH:65
PA:73
SC:57
DF:85
Connor Clifton
Connor Clifton
AGE:30
SK:79
EN:77
DU:93
PH:54
PA:57
SC:52
DF:81
Dylan Demelo
Dylan Demelo
AGE:32
SK:78
EN:86
DU:99
PH:55
PA:56
SC:55
DF:82
Jalen Chatfield
Jalen Chatfield
AGE:29
SK:78
EN:81
DU:97
PH:56
PA:51
SC:61
DF:78
Tyler Tucker
Tyler Tucker
AGE:25
SK:77
EN:74
DU:69
PH:54
PA:49
SC:60
DF:76
Sam Malinski
Sam Malinski
AGE:27
SK:79
EN:76
DU:95
PH:54
PA:51
SC:58
DF:75
Robert Bortuzzo
Robert Bortuzzo
AGE:36
SK:75
EN:68
DU:55
PH:50
PA:50
SC:50
DF:68
Ty Nelson (R)
Ty Nelson
AGE:21
SK:89
EN:76
DU:71
PH:45
PA:50
SC:40
DF:70
Jaycob Megna
Jaycob Megna
AGE:33
SK:75
EN:68
DU:63
PH:36
PA:38
SC:34
DF:70
Ville Heinola
Ville Heinola
AGE:24
SK:75
EN:74
DU:55
PH:47
PA:45
SC:50
DF:75
John Ludvig
John Ludvig
AGE:25
SK:75
EN:55
DU:50
PH:42
PA:49
SC:34
DF:65
Filip Roos
Filip Roos
AGE:26
SK:75
EN:72
DU:67
PH:35
PA:41
SC:30
DF:60
Connor Hellebuyck
Connor Hellebuyck
AGE:32
SK:94
AG:96
RB:97
SC:96
HS:96
RT:95
DF:96
Justus Annunen
Justus Annunen
AGE:25
SK:88
AG:75
RB:67
SC:61
HS:69
RT:70
DF:66
Jesper Vikman
Jesper Vikman
AGE:23
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Thomas Milic
Thomas Milic
AGE:22
SK:90
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Dylan Ferguson
Dylan Ferguson
AGE:27
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Ty Young (R)
Ty Young
AGE:21
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Antoine DorionPanthers2038205
Ben MacdonaldPanthers2036108
Ben RogerPanthers203558
Cam SquiresPanthers2037104
Carlos HandelPanthers2039169
Connor LevisPanthers2037198
Daniel LjungmanPanthers2034186
Devin KaplanPanthers203685
Ethan MiedemaPanthers203799
Ethan PhillipsPanthers2033121
Jackson HallumPanthers2034114
Jacob CloutierPanthers2039200
Jonathan MorelloPanthers2038151
Jonathan TychonickPanthers203259
Joona VaisanenPanthers2038174
Kamil BednarikPanthers203842
Kirill GerasimyukPanthers2035182
Matthew StienburgPanthers203385
Milton OscarsonPanthers2037167
Mitchell GibsonPanthers2032160
Niklas NordgrenPanthers203287
Quinn BeauchesnePanthers2039138
Rasmus KorhonenPanthers2035151
Reilly WebbPanthers2031206
Samu SalminenPanthers203576
Topi RonniPanthers203677

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Panthers Leaders statistiques (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
1Vladimir Tarasenko10923684368043255511681566336410.94%1722024518.5410115926083242672481535.01%50.791949
2Evgeny Kuznetsov1001221466687-614219282070217310.17%1691804918.0364172236497561159311049.86%30.761144
3Alex Pietrangelo7241555246790582643129816259.54%14001853225.60102178280102141115182250.00%20.7311
4Tyler Seguin6142343766101243698231693204511.44%941339321.8162135197502581367321053.99%50.91643
5Aki Berg10672253415666493014971291208410.80%6061885417.6738621002649122167331046.73%30.601851

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
1Marc-Andre Fleury260133105120.9013.211474238878979740850.71964
2Braden Holtby1519640150.9082.66889286394426201220.70848
3Simeon Varlamov1528048110.9053.09860214444346390510.74547
4Jeremy Swayman106563850.8933.25586812331829760600.78614
5Ryan Miller78502130.9132.75445827220423480500.93832

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
Saison régulière
201782303802192233227641141901070125122341161901122108105365233360593140598182224307537307432365804126218122463313.41%3205383.44%11864178748.35%939192948.68%664128651.63%176898418448461545771
201882383202424252224284119180011212511213411914023121271121584252416668040639788259208138858802436862109218332334017.17%2164380.09%10981199249.25%986199949.32%677133950.56%171695817107691536767
2019822535025213222251-2941132001115107124-1741121501418115127-125922234356530047898225280673940870246385790616672214821.72%2384879.83%5959196348.85%920196746.77%587119449.16%161983917647981619802
202082253702477212252-4041151701224112122-1041102001253100130-3058212331543230457583226906168257972575833127218542223716.67%2395477.41%4846188844.81%960205346.76%545117246.50%164385017407901617814
202182284102155244284-4041132201113118150-3241151901042126134-86124443668023081787825550859841829272774594719384347517.28%3676981.20%11304310641.98%1179303038.91%508131738.57%1917130420276111031511
2022824425012823002366441201501041153116374124100024114712027923005308300309694101274108778749572565786974182842710725.06%4067282.27%31605318350.42%1532311349.21%626129648.30%1949132919976201031521
202382343500247250256-6412015002221351241141142000025115132-1770250445695030937380233307747837602571774997178843910624.15%3908977.18%21392289548.08%1365305944.62%662135748.78%1986137119606011030523
202482224901343233332-994192501213116178-6241132400130117154-3760233406639410907068232007297698072756859109517694347116.36%43911374.26%41334282347.25%1318315341.80%597131845.30%1926132020306151008491
202582353203354286258284120150111315013020411517022411361288932865047901301009484270208719108912520765101018494328720.14%4287183.41%51619312151.87%1502292351.39%704132952.97%2052142318966061032521
2026824127025342862612541181302233143136741231400301143125181012865127981501138979255208678508152700798102917884469220.63%4148679.23%61489300749.52%1452313346.35%648134348.25%1983136219446091036519
2027824525032072922286441241201103147109384121130210414511926105292519811110941078828120939944908226662799618184399722.10%4187681.82%01760318655.24%1431284350.33%706132953.12%2131150618165921019527
20308250170224733223110141237021351571055241271000112175126491213325809121601161129830780100910659752501765923179147611123.32%3837181.46%41734338551.23%1391301546.14%694135851.10%2077147018875991020518
203182273805345261279-1841172001102128133-541101804243133146-1380261464725030917883253908188408512803801107619063808221.58%4439977.65%31473301748.82%1411317544.44%667134049.78%1899128820426121038514
203282254103652264312-4841122303210124150-2641131800442140162-2274264457721010898384248108688007902737756104418564117919.22%4539579.03%71461297649.09%1424302247.12%658133749.21%1935132320196151021509
20338241280424331027139412313010221631352841181503221147136111033105488582501249385281209049469362582800110519434047318.07%4578282.06%61574309350.89%1536306650.10%665136448.75%1911130520356231022496
203482383202343262277-15412112011421401281241172001201122149-2794262451713020105856625110784865847280676593717604137618.40%4067880.79%21542293352.57%1586316050.19%690133751.61%1901129720306231034507
203582383603131248265-1741162102110127145-184122150102112112019024844469223092708025440791839893283480698219333666618.03%4358879.77%11511296650.94%1456328044.39%638132048.33%1869126420576151025499
203682284106331290317-2741142003220146160-1441142103111144157-137829051380310096899626310858839905255473889117053797720.32%3768776.86%41568288554.35%1394280449.71%703137851.02%1996140119515941012511
203782432804322285248374120140231114613313412314020111391152410328550879303106888562532811885817302498747100517073949123.10%4346784.56%41579284255.56%1577293553.73%694131352.86%2024141419006021028517
203882323405722270278-8411816015011361251141141804221134153-1987270473743139489809245180981680237253178191817973946717.01%4047980.45%61471284551.70%1466286151.24%711133953.10%1980136019496061041523
203971322602443234207273716130123213010723341613012111041004832344186521289706910223876172372556205858976214673425616.37%3196180.88%41339255052.51%1205243549.49%597112553.07%180512781618511882444
Total Saison régulière17117216970566684875566549472857365350027314044282827448485435634702935444327382750-12176155669658152242358289184117911530534642381172271788915577538481625821223378097932157119.81%7985158180.20%92294055844350.31%280305895547.54%136412749149.62%400952665740224134672363811816
Séries éliminatoires
20176240000016133312000009633120000077041628440207361600524660152517614317211.76%28389.29%14912539.20%7614951.01%4510343.69%12365197390712157
20181510500000373347520000021174853000001616020376299020121012429014214712842111621530535822.86%511080.39%015535543.66%15734745.24%11222649.56%305161317146301147
20221810800000595181055000003134-38530000028171120591071661102712206270230165227548143181357902123.33%781580.77%039573253.96%35166153.10%13626850.75%444309424132218109
2025624000001621-531200000710-331200000911-241630460004841890556668188495615826415.38%28678.57%010922348.88%11121950.68%489252.17%14398141427537
2026954000003537-25320000019181422000001619-310356499000151272970971118532785121199641421.88%51982.35%119435554.65%16236844.02%8416052.50%2331642046410957
202773400000292453120000012111422000001713462951800001014526407387821966489185561425.00%43881.40%014132044.06%13826252.67%6312849.22%200140171589849
203040400000915-62020000046-22020000059-40916250003421410355631164535511124312.50%25868.00%08717051.18%8219442.27%296942.03%10672104305126
2033404000001217-52020000068-22020000069-30122234000354166058454216129709126519.23%34973.53%08618845.74%9118848.40%317441.89%11277118365726
203440400000914-52020000047-32020000057-2091625000630106039293413053437724312.50%18288.89%06913750.36%7515648.08%386657.58%9059112335324
203751400000814-62020000037-43120000057-228142211134012437434401734677851616.25%32681.25%07914853.38%11322051.36%376556.92%11276125366230
Total Séries éliminatoires78334500000230239-939162300000116124-839172200000114115-166230410640261907560250337824796757246068998317113787519.84%3887680.41%21364275349.55%1356276449.06%623125149.80%18721227369214881148566

Panthers Leaders statistiques (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
1Aki Berg108162844207614311816010.00%51181016.772351412332045.09%00.4900
2Vladimir Tarasenko52182240212316217410.34%797918.8348123510143027.78%00.8200
3Drew Doughty4873037210512658987.14%50111023.155914330003200.00%00.6700
4Alex Pietrangelo3310243403614747712.99%5285225.838917600110100.00%00.8000
5Ilya Kovalchuk1851722321644855.88%240822.710882700001052.63%01.0800

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
1Henrik Lundqvist1510410.9202.179110233415161100.0000
2Ryan Miller147410.9132.75787210364150010.0000
3Jaroslav Halak95400.8913.9751400343110000.0000
4Antti Niemi63300.8942.8229801141320000.0000
5Braden Holtby103330.8933.1664620343190000.0000