Connexion

Panthers
GP: 25 | W: 16 | L: 9
GF: 87 | GA: 75 | PP%: 20.35% | PK%: 77.98%
DG: Jean-Francois Chouinard | Morale : 99 | Moyenne d’équipe : 76
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Centre de jeu
Panthers
16-9-0, 32pts
4
FINAL
2 Oilers
15-12-0, 30pts
Team Stats
W2StreakL2
8-6-0Home Record7-5-0
8-3-0Away Record8-7-0
7-2-1Last 10 Games6-3-1
3.48Goals Per Game3.48
3.00Goals Against Per Game3.15
20.35%Power Play Percentage21.05%
77.98%Penalty Kill Percentage78.79%
Oilers
15-12-0, 30pts
1
FINAL
4 Panthers
16-9-0, 32pts
Team Stats
L2StreakW2
7-5-0Home Record8-6-0
8-7-0Away Record8-3-0
6-3-1Last 10 Games7-2-1
3.48Goals Per Game3.48
3.15Goals Against Per Game3.00
21.05%Power Play Percentage20.35%
78.79%Penalty Kill Percentage77.98%
Meneurs d'équipe
Buts
Matt Duchene
19
Passes
Taylor Hall
22
Points
Matt Duchene
38
Plus/Moins
Nick Bjugstad
11
Victoires
Petr Mrazek
15
Pourcentage d’arrêts
Petr Mrazek
0.894

Statistiques d’équipe
Buts pour
87
3.48 GFG
Tirs pour
758
30.32 Avg
Pourcentage en avantage numérique
20.4%
23 GF
Début de zone offensive
40.2%
Buts contre
75
3.00 GAA
Tirs contre
685
27.40 Avg
Pourcentage en désavantage numérique
78.0%
24 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralJean-Francois Chouinard
EntraîneurAlain Vigneault
DivisionZiegler
ConférenceClarence Campbell
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomBBT Center
Capacité18,000
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure33
Limite contact 55 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible83,891,448$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour20,447,000$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel23,891,448$
Compte bancaire projeté23,891,448$


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
1Matt DucheneX100.0082328584838885889292836573665445898122517,000,000$
2Taylor HallX100.0079358280828887838691867276756644908122536,000,000$
3Anze KopitarX100.0074527280838779907785797579807829878012916,750,000$
4Jordan EberleX100.0083498880798187828182827875785842898012616,500,000$
5Benoit PouliotX100.0082358377728678777584775985828123877613012,500,000$
6Nick BjugstadX100.0073417978787881797681816980594947857502412,500,000$
7Byron BitzX100.007744727678707573697379716784791881740321900,000$
8Jeremy MorinX100.0073358277758475787378777382604937847402521,250,000$
9Max ReinhartX100.0071209372788378787478757570655041897402431,500,000$
10Dany HeatleyX100.007659727871797068647272717393981485730351700,000$
11Daultan Leveillé (R)X100.007526777077807473707080727165533190720261995,000$
12Kasperi Kapanen (R)X100.0077468073727672767371776070494367867102021,000,000$
13Erik GudbransonX100.0090478481818779866385798569714848848222437,000,000$
14Adam LarssonX100.0084387681848574735579738268665643847812433,500,000$
15Dalton ProutX100.0085668182817183706380658067746433857812611,250,000$
16Oscar KlefbomX100.0072298683798283845186737658634747867712322,000,000$
17Josh GorgesX100.0076388576787971745578658060867215907613211,000,000$
18Dan HamhuisX100.007539778076738475607664766792811485750341900,000$
Rayé
1R.J. UmbergerX100.007133757181698671767575697385841450730341700,000$
2Andrej SekeraX100.0075378174797582755171728065776121417503011,000,000$
Équipe Mineure
1Quinton Howden (R)X100.007436767671717476667668677052474384700241600,000$
2Elias Lindholm (R)X100.006826866883777070716777607049455483690222750,000$
3Jerry D'Amigo (R)X100.006734797169796866687270676753493584680252800,000$
4Valentin Zykov (R)X100.006826817769776871606878576849445386680211650,000$
5Kirill Kaprizov (R)X100.006947757071637373676668596444426563660191500,000$
6Tom Kuhnhackl (R)X100.006431757471697170636667667148463687660242700,000$
7Hudson Fasching (R)X100.006324727675727263636573606545435476650212550,000$
8Mitchell Heard (R)X100.007332677174586762567170675848503487650242500,000$
9Matt Puempel (R)X100.006738786968666864636469527047475172640233550,000$
10Nicklas Jensen (R)X100.006153786566677271676766556545454552640231550,000$
11Roberts Lipsbergs (R)X100.006930726273696564746466546746474662630221500,000$
12Tanner Laczynski (R)X100.005035777453654769626964567743436783620192500,000$
13Griffin Reinhart (R)X100.006726817771657580518267705560464385710222950,000$
14Michal Jordan (R)X100.006824807373757072597469686571603362700261600,000$
15Niklas Hansson (R)X100.007016797465767461447350855356444887700211500,000$
16John Draeger (R)X100.006722757272686959437061825754494180690231500,000$
17Jake Walman (R)X100.006033816870686055355841723742425877630203600,000$
18Keaton Thompson (R)X100.005739687159576962457158705544435049630211500,000$
19Michael McCarron (R)X100.007544656678558063656764496444445122630211500,000$
20Austin Poganski (R)X100.006440727167557361586066595846434922620203500,000$
21Kyle Platzer (R)X100.004236696644665374576562598043434321610211500,000$
22Nick Merkley (R)X100.005633785756646269786759375841416321590191500,000$
23Calvin Thurkauf (R)X100.007550656365487764516360505141436522590192500,000$
24Lukas Vejdemo (R)X100.004430766453635551615555535143435122550201500,000$
25Artur Kayumov (R)X100.006144745052585356495854496440407821540184800,000$
26Connor Honey (R)X100.006759615470627744574549475743434522530211500,000$
27Dmytro Timashov (R)X100.004826674948475762566642445343435222510201500,000$
28Viktor Baldayev (R)X100.007049686375646965416047724744434852650211500,000$
29Nelson Nogier (R)X100.006538726164656156366455684442425321620202600,000$
MOYENNE D’ÉQUIPE100.00693777727171727062716866655852436769
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
1Petr Mrazek100.008484778281788182868175564939898012443,500,000$
2Tyler Weiman100.00727673827375817979777780791789771321600,000$
Rayé
Équipe Mineure
1Igor Bobkov100.00766771747073787069648356563185710251600,000$
2Carter Hutton100.00786055957564498778747166635983710313800,000$
3Niklas Treutle100.00636671727267696873716962553022690262750,000$
4Artyom Zagidulin (R)100.00615456705849484949525840407723520212500,000$
MOYENNE D’ÉQUIPE100.0072686779726868737270726057426570
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Vigneault72967966937455CAN5133,500,000$


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
1Matt DuchenePanthersC25191938102003741106276617.92%852621.075101515103000124155.13%760202001.4400000823
2Taylor HallPanthersLW25122234101804724115256310.43%1456322.546511261031014373241.18%51237001.2100000433
3Anze KopitarPanthersC251310233280404489295214.61%1449019.6215611782024831249.29%424197100.9400000301
4Jordan EberlePanthersRW2581321260352669224211.59%1055122.05551015920112921050.00%4084000.7600000121
5Nick BjugstadPanthersRW25891711140331746152417.39%646418.582241388000003152.94%3495000.7300000041
6Erik GudbransonPanthersD2501313516046565928260.00%4572829.160338118011091000.00%01722000.3600000010
7Jeremy MorinPanthersLW256713320231935152317.14%62269.0600000000001025.00%456001.1500000100
8Oscar KlefbomPanthersD2511112314029383413152.94%3863625.48022611700000000.00%01713000.3800000021
9Benoit PouliotPanthersLW255492100432140172812.50%643117.253146781012261071.43%1476000.4200000100
10Max ReinhartPanthersC25549400161521191623.81%1127110.87000000001420245.36%9732000.6600000100
11Adam LarssonPanthersD25268636027481911510.53%2554321.74145366000086000.00%0618000.2900000000
12Dalton ProutPanthersD252685403735284147.14%3352521.04000765000379100.00%067000.3000000001
13Byron BitzPanthersRW2523521203517259178.00%32389.5600004000000060.00%1055000.4200000010
14Dan HamhuisPanthersD25055319512215540.00%1227110.8800000000013000.00%006000.3700100000
15Dany HeatleyPanthersLW25145-41002016168146.25%32228.88000030110351056.00%2565000.4500000001
16Daultan LeveilléPanthersC25145-54019142213224.55%42018.08000120110130046.00%5043000.5000000000
17Kasperi KapanenPanthersRW25224-4601262111139.52%31736.9500000000000050.00%2102000.4600000000
18Josh GorgesPanthersD2503342014298550.00%1732613.0500002011063000.00%0210000.1800000000
Statistiques d’équipe totales ou en moyenne4508714523260221552548775826645911.48%258739616.442337601119274591767016852.02%1511167130100.6300100191512
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
1Petr MrazekPanthers2215510.8942.9012852062585286000.0000223013
2Tyler WeimanPanthers41210.8793.1922600129949110.0000322000
Statistiques d’équipe totales ou en moyenne2616720.8922.9415122074684335110.00002525013


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 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
Adam LarssonPanthersD241992-01-01No205 Lbs6 ft3NoNoNo3Pro Only3,500,000$3,500,000$0$No3,750,000$4,000,000$
Andrej SekeraPanthersD301986-01-01No197 Lbs6 ft0NoNoNo1Pro Only1,000,000$1,000,000$0$No
Anze KopitarPanthersC291987-01-01No222 Lbs6 ft3NoNoNo1Pro Only6,750,000$6,750,000$0$No
Benoit PouliotPanthersLW301986-01-01No199 Lbs6 ft3NoNoNo1Pro Only2,500,000$2,500,000$0$No
Byron BitzPanthersRW321984-01-01No200 Lbs6 ft3NoNoNo1Pro Only900,000$900,000$0$No
Dalton ProutPanthersD261990-01-01No222 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$1,250,000$0$No
Dan HamhuisPanthersD341982-01-01No209 Lbs6 ft1NoNoNo1Pro Only900,000$900,000$0$No
Dany HeatleyPanthersLW351981-01-01No220 Lbs6 ft4NoNoNo1Pro Only700,000$700,000$0$No
Daultan LeveilléPanthersC261990-01-01Yes175 Lbs6 ft0NoNoNo1Pro & Farm995,000$995,000$0$No
Erik GudbransonPanthersD241992-01-01No216 Lbs6 ft5NoNoNo3Pro Only7,000,000$7,000,000$0$No7,000,000$7,000,000$
Jeremy MorinPanthersLW251991-01-01No192 Lbs6 ft1NoNoNo2Pro Only1,250,000$1,250,000$0$No1,500,000$
Jordan EberlePanthersRW261990-01-01No184 Lbs5 ft11NoNoNo1Pro Only6,500,000$6,500,000$0$No
Josh GorgesPanthersD321984-01-01No200 Lbs6 ft1NoNoNo1Pro Only1,000,000$1,000,000$0$No
Kasperi KapanenPanthersRW201996-01-01Yes192 Lbs6 ft1NoNoNo2Pro Only1,000,000$1,000,000$0$No1,750,000$
Matt DuchenePanthersC251991-01-01No200 Lbs5 ft11NoNoNo1Pro Only7,000,000$7,000,000$0$No
Max ReinhartPanthersC241992-01-01No190 Lbs6 ft1NoNoNo3Pro Only1,500,000$1,500,000$0$No2,500,000$3,200,000$
Nick BjugstadPanthersRW241992-01-01No218 Lbs6 ft6NoNoNo1Pro Only2,500,000$2,500,000$0$No
Oscar KlefbomPanthersD231993-01-01No215 Lbs6 ft3NoNoNo2Pro Only2,000,000$2,000,000$0$No3,000,000$
Petr MrazekPanthersG241992-01-01No184 Lbs6 ft1NoNoNo4Pro Only3,500,000$3,500,000$0$No4,000,000$4,000,000$4,500,000$
R.J. UmbergerPanthersLW341982-01-01No219 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$No
Taylor HallPanthersLW251991-01-01No198 Lbs6 ft1NoNoNo3Pro Only6,000,000$6,000,000$0$No6,500,000$7,000,000$
Tyler WeimanPanthersG321984-01-01No180 Lbs5 ft11NoNoNo1Pro Only600,000$600,000$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.45202 Lbs6 ft21.642,683,864$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,045,000$30,000,000$25,200,000$4,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor HallMatt DucheneJordan Eberle50023
2Benoit PouliotAnze KopitarNick Bjugstad35023
3Jeremy MorinMax ReinhartByron Bitz10122
4Dany HeatleyDaultan LeveilléKasperi Kapanen5023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonOscar Klefbom50023
2Adam LarssonDalton Prout30023
3Josh GorgesDan Hamhuis10122
4Erik GudbransonOscar Klefbom10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor HallMatt DucheneJordan Eberle60014
2Benoit PouliotAnze KopitarNick Bjugstad40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonOscar Klefbom70023
2Adam LarssonDalton Prout30023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anze KopitarJordan Eberle60041
2Max ReinhartTaylor Hall40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonAdam Larsson60041
2Dalton ProutJosh Gorges40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Eberle60050Erik GudbransonAdam Larsson60050
2Anze Kopitar40050Dalton ProutJosh Gorges40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt DucheneTaylor Hall60023
2Anze KopitarJordan Eberle40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonOscar Klefbom60023
2Adam LarssonDalton Prout40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor HallMatt DucheneJordan EberleErik GudbransonOscar Klefbom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor HallAnze KopitarJordan EberleErik GudbransonAdam Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Eberle, Taylor Hall, Matt DucheneAnze Kopitar, Taylor HallDany Heatley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Larsson, Erik Gudbranson, Oscar KlefbomJosh GorgesDalton Prout, Erik Gudbranson
Tirs de pénalité
Benoit Pouliot, Nick Bjugstad, Anze Kopitar, Taylor Hall, Jordan Eberle
Gardien
#1 : Petr Mrazek, #2 : Tyler Weiman


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
1Avalanche6420000027207312000001113-233000000167980.667274168107910117953636211716971139351131.43%33584.85%132160752.88%26853749.91%19736753.68%128721275810451
2Canucks743000002126-5422000001016-6321000001110180.57121315200610412257982622186765612433412.12%281064.29%232160752.88%26853749.91%19736753.68%162951336412564
3Capitals54100000191273300000011652110000086280.8001935540049511495044523136504411116318.75%22577.27%132160752.88%26853749.91%19736753.68%11366105468943
4Oilers74300000201734220000099032100000118380.57120385800361012056463708192635215129517.24%26484.62%032160752.88%26853749.91%19736753.68%156891466512262
Total25169000008775121486000004144-3118300000463115320.64087145232102034294758246252246146852582235251132320.35%1092477.98%432160752.88%26853749.91%19736753.68%561323512233441222
_Since Last GM Reset25169000008775121486000004144-3118300000463115320.64087145232102034294758246252246146852582235251132320.35%1092477.98%432160752.88%26853749.91%19736753.68%561323512233441222
_Vs Conference1812600000675891064000003235-386200000352312240.667671071741017281935531821891766493195171374841821.43%832075.90%432160752.88%26853749.91%19736753.68%404234366168319160
_Vs Division6420000027207312000001113-233000000167980.667274168107910117953636211716971139351131.43%33584.85%132160752.88%26853749.91%19736753.68%128721275810451

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2532W28714523275868525822352510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2516900008775
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
148600004144
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
118300004631
Derniers 10 matchs
WLOTWOTL SOWSOL
522100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1132320.35%1092477.98%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
246252246142034294
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
32160752.88%26853749.91%19736753.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
561323512233441222


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 - 2021-11-307Canucks7Panthers0BLSommaire du match
2 - 2021-12-0115Canucks2Panthers3BWSommaire du match
3 - 2021-12-0223Panthers3Canucks2AWXSommaire du match
4 - 2021-12-0331Panthers4Canucks3AWSommaire du match
5 - 2021-12-0439Canucks3Panthers1BLSommaire du match
6 - 2021-12-0547Panthers4Canucks5ALSommaire du match
7 - 2021-12-0655Canucks4Panthers6BWSommaire du match
8 - 2021-12-0760Capitals1Panthers2BWXSommaire du match
9 - 2021-12-0864Capitals1Panthers3BWSommaire du match
10 - 2021-12-0968Panthers3Capitals4ALXSommaire du match
11 - 2021-12-1072Panthers5Capitals2AWSommaire du match
12 - 2021-12-1176Capitals4Panthers6BWSommaire du match
15 - 2021-12-1486Avalanche6Panthers4BLSommaire du match
16 - 2021-12-1588Avalanche4Panthers2BLSommaire du match
17 - 2021-12-1690Panthers5Avalanche1AWSommaire du match
18 - 2021-12-1792Panthers6Avalanche2AWSommaire du match
19 - 2021-12-1894Avalanche3Panthers5BWSommaire du match
20 - 2021-12-1996Panthers5Avalanche4AWXSommaire du match
22 - 2021-12-2199Oilers5Panthers2BLSommaire du match
23 - 2021-12-22100Oilers1Panthers2BWXSommaire du match
24 - 2021-12-23101Panthers3Oilers4ALSommaire du match
25 - 2021-12-24102Panthers4Oilers2AWSommaire du match
26 - 2021-12-25103Oilers2Panthers1BLXSommaire du match
27 - 2021-12-26104Panthers4Oilers2AWSommaire du match
28 - 2021-12-27105Oilers1Panthers4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance84,00070,00028,00056,00014,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 18000 - 100.00% 1,460,500$20,447,000$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 59,045,000$ 32,050,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 24,781,122$ 22 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 23,891,448$ 23,891,448$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 83,891,448$ 83,891,448$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Taylor HallAGE:25PO:44OV:81
Benoit PouliotAGE:30PO:23OV:76
Jeremy MorinAGE:25PO:37OV:74
Dany HeatleyAGE:35PO:14OV:73
R.J. UmbergerAGE:34PO:14OV:73
Valentin Zykov (R)AGE:21PO:53OV:68
Kirill Kaprizov (R)AGE:19PO:65OV:66
Matt Puempel (R)AGE:23PO:51OV:64
Roberts Lipsbergs (R)AGE:22PO:46OV:63
Artur Kayumov (R)AGE:18PO:78OV:54
Dmytro Timashov (R)AGE:20PO:52OV:51
Matt DucheneAGE:25PO:45OV:81
Anze KopitarAGE:29PO:29OV:80
Max ReinhartAGE:24PO:41OV:74
Daultan Leveillé (R)AGE:26PO:31OV:72
Quinton Howden (R)AGE:24PO:43OV:70
Elias Lindholm (R)AGE:22PO:54OV:69
Mitchell Heard (R)AGE:24PO:34OV:65
Tanner Laczynski (R)AGE:19PO:67OV:62
Kyle Platzer (R)AGE:21PO:43OV:61
Calvin Thurkauf (R)AGE:19PO:65OV:59
Lukas Vejdemo (R)AGE:20PO:51OV:55
Jordan EberleAGE:26PO:42OV:80
Nick BjugstadAGE:24PO:47OV:75
Byron BitzAGE:32PO:18OV:74
Kasperi Kapanen (R)AGE:20PO:67OV:71
Jerry D'Amigo (R)AGE:25PO:35OV:68
Tom Kuhnhackl (R)AGE:24PO:36OV:66
Hudson Fasching (R)AGE:21PO:54OV:65
Nicklas Jensen (R)AGE:23PO:45OV:64
Michael McCarron (R)AGE:21PO:51OV:63
Austin Poganski (R)AGE:20PO:49OV:62
Nick Merkley (R)AGE:19PO:63OV:59
Connor Honey (R)AGE:21PO:45OV:53

Défense #1Défense #2Gardien
Erik GudbransonAGE:24PO:48OV:82
Adam LarssonAGE:24PO:43OV:78
Dalton ProutAGE:26PO:33OV:78
Oscar KlefbomAGE:23PO:47OV:77
Josh GorgesAGE:32PO:15OV:76
Andrej SekeraAGE:30PO:21OV:75
Dan HamhuisAGE:34PO:14OV:75
Griffin Reinhart (R)AGE:22PO:43OV:71
Niklas Hansson (R)AGE:21PO:48OV:70
Michal Jordan (R)AGE:26PO:33OV:70
John Draeger (R)AGE:23PO:41OV:69
Viktor Baldayev (R)AGE:21PO:48OV:65
Jake Walman (R)AGE:20PO:58OV:63
Keaton Thompson (R)AGE:21PO:50OV:63
Nelson Nogier (R)AGE:20PO:53OV:62
Petr MrazekAGE:24PO:39OV:80
Tyler WeimanAGE:32PO:17OV:77
Carter HuttonAGE:31PO:59OV:71
Igor BobkovAGE:25PO:31OV:71
Niklas TreutleAGE:26PO:30OV:69
Artyom Zagidulin (R)AGE:21PO:77OV:52

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

Choix au repêchage

Année R1R2R3R4R5
2
3
4
5
6






[2022-08-08 8:29:05 PM] - Panthers are the Playoffs Champions for year 1!
[2022-07-20 10:51:34 PM] - Thunderbirds was eliminated at round 2 of year 1.
[2022-05-31 8:44:12 PM] - New Record for Team's Most Penalties Minutes (37) in 1 Game for Panthers!
[2022-05-31 8:44:12 PM] - New Record for Team's Most Penalties Minutes (37) in 1 Game for Panthers!
[2022-05-22 11:17:09 PM] - New Record for Team's Most Hits (40) in 1 Game for Panthers!
[2022-05-22 11:17:09 PM] - New Record for Team's Most Hits (40) in 1 Game for Panthers!
[2022-05-19 9:55:00 PM] - TRADE : From Panthers to Kings : Drew Stafford (75), Jonathan Sigalet (76), Ryan O'Reilly (76), Teuvo Teravainen (76).
[2022-05-19 9:55:00 PM] - TRADE : From Kings to Panthers : Andrej Sekera (75), Anze Kopitar (80), Byron Bitz (74), Nick Bjugstad (75).
[2022-05-15 9:18:32 PM] - R.J. Umberger signed with Panthers for $700,000 for 1 year(s).
[2022-05-15 9:18:31 PM] - R.J. Umberger was added to Panthers.
[2022-05-09 10:11:55 PM] - TRADE : From Panthers to Kings : Y:3-RND:5-Flo.
[2022-05-09 10:11:55 PM] - TRADE : From Kings to Panthers : Dan Hamhuis (75).
[2022-05-05 7:28:14 PM] - TRADE : From Panthers to Oilers : Clayton Keller (57), Jake Gardiner (80), Jussi Jokinen (77), Tyler Toffoli (78).
[2022-05-05 7:28:14 PM] - TRADE : From Oilers to Panthers : Adam Larsson (78), Benoit Pouliot (76), Jordan Eberle (80), Nick Merkley (59).
[2022-04-24 8:24:02 AM] - TRADE : From Panthers to Oilers : Alex Galchenyuk (79), Nail Yakupov (72).
[2022-04-24 8:24:02 AM] - TRADE : From Oilers to Panthers : Kasperi Kapanen (71), Taylor Hall (81).
[2022-04-03 7:28:10 PM] - TRADE : From Stars to Panthers : Jeremy Morin (74), Jussi Jokinen (77), Y:2-RND:1-Dal.
[2022-04-03 7:28:10 PM] - TRADE : From Panthers to Stars : Jonathan Drouin (71), Tobias Rieder (73).
[2022-03-06 11:20:14 PM] - TRADE : From Kings to Panthers : Dalton Prout (78), Jonathan Drouin (71), Teuvo Teravainen (76), Tyler Toffoli (78).
[2022-03-06 11:20:14 PM] - TRADE : From Panthers to Kings : Danny DeKeiser (78), David Pastrnak (74), Luke Glendening (73), Sean Bergenheim (77), Y:4-RND:2-Stl.
[2022-01-29 9:58:22 AM] - New Record for Team's Most Penalties Minutes (24) in 1 Game for Panthers!
[2022-01-29 9:58:22 AM] - New Record for Team's Most Shots Blocked (19) in 1 Game for Panthers!
[2022-01-26 6:50:43 PM] - TRADE : From Capitals to Panthers : Austin Poganski (62).
[2022-01-25 11:38:18 PM] - TRADE : From Panthers to Capitals : Kerby Rychel (69).
[2022-01-25 11:38:18 PM] - TRADE : From Capitals to Panthers : Y:4-RND:4-Was, Y:5-RND:4-Was.
[2022-01-19 7:15:08 PM] - New Record for Team's Most Hits (32) in 1 Game for Panthers!
[2022-01-15 9:30:41 PM] - TRADE : From Blues to Panthers : Elias Lindholm (69), Hudson Fasching (65), Kirill Kaprizov (66).
[2022-01-15 9:30:41 PM] - TRADE : From Panthers to Blues : Denis Gurianov (65), Jean-Sebastien Dea (65), Ryan Lomberg (67).
[2022-01-14 8:59:07 PM] - TRADE : From Canucks to Panthers : Denis Gurianov (65).
[2022-01-14 8:59:07 PM] - TRADE : From Panthers to Canucks : Christian Fischer (67).
[2022-01-10 7:01:04 PM] - TRADE : From Oilers to Panthers : Clayton Keller (57), Nail Yakupov (72), Ryan O'Reilly (76).
[2022-01-10 7:01:04 PM] - TRADE : From Panthers to Oilers : Jakob Silfverberg (79).
[2022-01-08 7:48:52 PM] - Josh Gorges was added to Panthers.



[2022-08-08 8:29:05 PM] Panthers are the Playoffs Champions!
[2022-08-08 8:28:10 PM] Last 7 Days Pro Star : 1 - Nick Bjugstad of Panthers (2-5-7) / 2 - Jeremy Morin of Panthers (3-3-6) / 3 - Anze Kopitar of Panthers (5-2-7)
[2022-08-07 7:06:34 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-08-05 10:22:57 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-08-02 8:38:06 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-08-01 7:11:30 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-08-01 9:16:39 AM] Last 7 Days Pro Star : 1 - Taylor Hall of Panthers (6-5-11) / 2 - Matt Duchene of Panthers (4-9-13) / 3 - Jordan Eberle of Panthers (3-6-9)
[2022-07-26 9:34:29 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-07-26 6:54:14 AM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-07-20 10:51:34 PM] Viktor Baldayev from Thunderbirds is back from Separated Right Shoulder Injury.
[2022-07-19 9:17:25 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-07-18 10:07:41 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-07-12 8:47:28 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-07-11 11:51:21 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-29 8:42:15 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-29 8:41:23 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-27 8:19:55 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-26 9:02:26 PM] Game 1026 - Viktor Baldayev from Thunderbirds is injured (Separated Right Shoulder) and is out for 1 month.
[2022-06-24 9:48:00 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-21 9:05:40 PM] Jeremy Morin from Panthers is back from Broken Bone (Left Arm) Injury.
[2022-06-20 7:06:50 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-16 7:05:02 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-16 6:58:52 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-13 7:00:32 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-09 7:00:44 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-07 9:14:17 PM] Erik Gudbranson from Panthers is back from Separated Right Shoulder Injury.
[2022-06-06 7:01:27 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.
[2022-06-04 9:05:47 PM] Michal Jordan from Thunderbirds is back from Abdominal Strain Injury.
[2022-06-04 9:05:26 PM] Successfully loaded Panthers lines done with Web Base Client and SQLite Database.



Pas de blessure ou de suspension.


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

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

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

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

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