Panthers

GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5
GF: 10 | GA: 12 | PP%: 19.05% | PK%: 84.62%
DG: Gerry Lunam | Morale : 48 | Moyenne d'Équipe : 75
Prochain matchs #62 vs Maple Leafs
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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 SP
1Logan CoutureX100.006637877977849478758177807880736949780
2Rickard RakellX100.007738857678838274567573627771687449780
3Micheal FerlandX100.009076697381778472567472597173704949770
4Vinnie HinostrozaX100.007137897264798570607371637669685949750
5Pontus AbergX100.006241767271777670626971586771677349740
6Mathieu PerreaultX100.008140786668729565576567586679743849730
7Vladislav NamestnikovX100.008341777371819172567164797173706849730
8Joel ArmiaX100.008537876988817068536672766971688049720
9Jesper FastX100.008339836876807966536562776375694149700
10Klim KostinX100.007143725986939057615654635960628049620
11Nicolas Aube-KubelX100.005638865870766856555757595465637249600
12Alex PietrangeloX97.006838857785918476307975866077867249800
13Kris LetangX100.008243717875937477308679866280755349800
14Esa LindellX100.008344817286919571307469865768666349780
15Patrik NemethX100.008448726087818758306654894673676349750
16Radko GudasX100.009657696475839063307359825177695449750
17Colin MillerX100.008442736877857866308058645273674249710
Rayé
1David KrejciX96.005637897972839478808573607682774046810
2Evander KaneX100.008665497882848877707481727675697445810
3Markus NutivaaraX100.007235936576839364307361635269664745690
MOYENNE D'ÉQUIPE99.65774479707783856950726771647370614874
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 SP
1Braden Holtby97.00929593839190929190929178845049860
2Curtis McElhinney100.00918280819089919089919086902449850
Rayé
MOYENNE D'ÉQUIPE98.5092898782919092919092918287374986
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant88898586837765CAN5522,300,000$


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
1Logan CouturePanthersC50441005921460.00%19919.870222130002180053.33%7522000.8101000000
2Esa LindellPanthersD5213-24074102220.00%39919.95202311000114010.00%023000.6000000000
3Micheal FerlandPanthersLW5213040139124916.67%28617.3501101300007100.00%251000.6900000000
4Vinnie HinostrozaPanthersC512314017134127.69%26412.9401112000010142.86%4920000.9300000000
5Alex PietrangeloPanthersD5202200810115618.18%714629.34202221000023000.00%033000.2700000010
6Kris LetangPanthersD5022116012715880.00%513827.68011220000015000.00%054000.2900000000
7Mathieu PerreaultPanthersLW5202-20050122216.67%1448.86000000001610100.00%100000.9000000100
8Pontus AbergPanthersLW51122201811349.09%25711.45000010000000100.00%221000.7000000010
9Rickard RakellPanthersLW5022-12047175190.00%410220.570113170000120041.18%1751000.3901000000
10Colin MillerPanthersD5011-140511010.00%46813.720000000008000.00%012000.2900000000
11Ivan BarbashevThunderbird (FLA)C1011200100200.00%099.850000000000000.00%200002.0300000000
12Jesper FastPanthersRW5011000647030.00%17615.20011013000000050.00%412000.2600000000
13Patrik NemethPanthersD5011020522000.00%46012.020000000001000.00%002000.3300000000
14Radko GudasPanthersD5011-240529230.00%79619.34011111000011000.00%012000.2100000000
15Klim KostinPanthersRW5011240572210.00%15410.850000000000000.00%201000.3700000001
16David KrejciPanthersC4000-100511204130.00%29824.550002160000160062.68%14231000.0001000000
17Joel ArmiaPanthersRW5000-100515260.00%18917.96000218000000030.00%1021000.0000000000
18Vladislav NamestnikovPanthersC5000-440319330.00%0448.9200000000140023.53%1730000.0000000000
19Nicolas Aube-KubelPanthersRW5000-220016010.00%0346.810000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne90101929-5520969118352995.46%47147216.3648121816400051432252.32%3233726000.3903000121
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
1Braden HoltbyPanthers52210.9402.16305001118284000.667350101
Stats d'équipe Total ou en Moyenne52210.9402.16305001118284000.667350101


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex PietrangeloPanthersD271990-01-18No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm6,500,000$6,500,000$6,121,693$NoLien
Braden HoltbyPanthersG281989-09-16No211 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,100,000$6,100,000$5,744,974$NoLien
Colin MillerPanthersD241992-10-29No196 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm3,875,000$3,875,000$3,649,471$NoLien
Curtis McElhinneyPanthersG341983-05-23No203 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,300,000$1,300,000$1,224,339$NoLien
David KrejciPanthersC311986-04-28No188 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm7,250,000$7,250,000$6,828,042$NoLien
Esa LindellPanthersD231994-05-23No215 Lbs6 ft3NoNoNo6Contrat d'EntréePro & Farm5,800,000$5,800,000$5,462,434$NoLien
Evander KanePanthersLW261991-08-02No210 Lbs6 ft2NoNoNo6Contrat d'EntréePro & Farm7,000,000$7,000,000$6,592,593$NoLien
Jesper FastPanthersRW251991-12-02No192 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,850,000$1,850,000$1,742,328$NoLien
Joel ArmiaPanthersRW241993-05-31No210 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm2,600,000$2,600,000$2,448,677$NoLien
Klim KostinPanthersRW181999-05-05No212 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm863,333$863,333$813,086$NoLien
Kris LetangPanthersD301987-04-24No201 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm7,250,000$7,250,000$6,828,042$NoLien
Logan CouturePanthersC281989-03-28No200 Lbs6 ft1NoNoNo8Sans RestrictionPro & Farm8,000,000$8,000,000$7,534,392$NoLien
Markus NutivaaraPanthersD231994-06-06No191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm2,700,000$2,700,000$2,542,857$NoLien
Mathieu PerreaultPanthersLW291988-01-05No188 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm4,125,000$4,125,000$3,884,921$NoLien
Micheal FerlandPanthersLW251992-04-20No217 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm3,500,000$3,500,000$3,296,296$NoLien
Nicolas Aube-KubelPanthersRW211996-05-10No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$706,349$NoLien
Patrik NemethPanthersD251992-02-08No219 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm3,000,000$3,000,000$2,825,397$NoLien
Pontus AbergPanthersLW241993-09-23No196 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$706,349$NoLien
Radko GudasPanthersD271990-06-05No204 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm3,770,000$3,770,000$3,550,582$NoLien
Rickard RakellPanthersLW241993-05-05No202 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm3,789,444$3,789,444$3,568,894$NoLien
Vinnie HinostrozaPanthersC231994-04-03No173 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm1,500,000$1,500,000$1,412,698$NoLien
Vladislav NamestnikovPanthersC241992-11-22No184 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm4,000,000$4,000,000$3,767,196$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2225.59200 Lbs6 ft12.593,921,490$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
86,272,777$61,052,777$42,777,777$24,300,000$20,800,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rickard RakellJoel Armia40122
2Micheal FerlandLogan CoutureJesper Fast30122
3Pontus AbergVinnie HinostrozaKlim Kostin20122
4Mathieu PerreaultVladislav NamestnikovNicolas Aube-Kubel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangAlex Pietrangelo40122
2Esa LindellRadko Gudas30122
3Patrik NemethColin Miller20122
4Kris LetangAlex Pietrangelo10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rickard RakellJoel Armia60122
2Micheal FerlandLogan CoutureJesper Fast40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangAlex Pietrangelo60122
2Esa LindellRadko Gudas40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Logan Couture60122
2Rickard RakellMicheal Ferland40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangAlex Pietrangelo60122
2Esa LindellRadko Gudas40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Kris LetangAlex Pietrangelo60122
2Logan Couture40122Esa LindellRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Logan Couture60122
2Rickard RakellMicheal Ferland40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangAlex Pietrangelo60122
2Esa LindellRadko Gudas40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rickard RakellJoel ArmiaKris LetangAlex Pietrangelo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rickard RakellJoel ArmiaKris LetangAlex Pietrangelo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vinnie Hinostroza, Pontus Aberg, Vladislav NamestnikovVinnie Hinostroza, Pontus AbergVladislav Namestnikov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrik Nemeth, Colin Miller, Esa LindellPatrik NemethColin Miller, Esa Lindell
Tirs de Pénalité
, Logan Couture, Rickard Rakell, Micheal Ferland, Vinnie Hinostroza
Gardien
#1 : Braden Holtby, #2 : Curtis McElhinney


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
LigueDomicileVisiteur
# 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
1Bruins1010000013-2000000000001010000013-200.00012300100032131630451129500.00%10100.00%05912646.83%7413953.24%365664.29%1810259167
2Canadiens11000000321000000000001100000032121.00035800102034615130431218293133.33%9188.89%05912646.83%7413953.24%365664.29%2010229178
3Maple Leafs11000000413000000000001100000041321.00048120021103914214027310203266.67%50100.00%05912646.83%7413953.24%365664.29%2113209178
4Senateurs2010000126-42010000126-40000000000010.2502460002007822312536721223810110.00%11372.73%05912646.83%7413953.24%365664.29%462642193517
Total522000011012-22010000126-43210000086250.500101929004330183558345318247529621419.05%26484.62%05912646.83%7413953.24%365664.29%10661111468741
_Since Last GM Reset522000011012-22010000126-43210000086250.500101929004330183558345318247529621419.05%26484.62%05912646.83%7413953.24%365664.29%10661111468741
_Vs Conference522000011012-22010000126-43210000086250.500101929004330183558345318247529621419.05%26484.62%05912646.83%7413953.24%365664.29%10661111468741
_Vs Division522000011012-22010000126-43210000086250.500101929004330183558345318247529621419.05%26484.62%05912646.83%7413953.24%365664.29%10661111468741

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55L210192918318247529600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52200011012
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201000126
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
321000086
Derniers 10 Matchs
WLOTWOTL SOWSOL
220001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
21419.05%26484.62%0
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
55834534330
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
5912646.83%7413953.24%365664.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10661111468741


Derniers Match 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
2 - 2019-10-057Panthers4Maple Leafs1WSommaire du Match
4 - 2019-10-0718Senateurs3Panthers2LXXSommaire du Match
6 - 2019-10-0926Panthers3Canadiens2WSommaire du Match
7 - 2019-10-1037Panthers1Bruins3LSommaire du Match
9 - 2019-10-1245Senateurs3Panthers0LSommaire du Match
12 - 2019-10-1562Maple Leafs-Panthers-
14 - 2019-10-1767Panthers-Senateurs-
16 - 2019-10-1978Panthers-Maple Leafs-
19 - 2019-10-2293Canadiens-Panthers-
21 - 2019-10-24107Panthers-Lightning-
24 - 2019-10-27118Lightning-Panthers-
27 - 2019-10-30137Bruins-Panthers-
29 - 2019-11-01151Maple Leafs-Panthers-
31 - 2019-11-03162Panthers-Bruins-
33 - 2019-11-05175Panthers-Maple Leafs-
34 - 2019-11-06182Senateurs-Panthers-
37 - 2019-11-09194Panthers-Canadiens-
40 - 2019-11-12210Blue Jackets-Panthers-
43 - 2019-11-15220Panthers-Golden Knights-
45 - 2019-11-17229Panthers-Flames-
47 - 2019-11-19237Predateurs-Panthers-
49 - 2019-11-21251Sharks-Panthers-
53 - 2019-11-25271Flyers-Panthers-
55 - 2019-11-27281Panthers-Sharks-
57 - 2019-11-29293Oilers-Panthers-
62 - 2019-12-04318Flames-Panthers-
64 - 2019-12-06326Panthers-Oilers-
66 - 2019-12-08340Flyers-Panthers-
70 - 2019-12-12360Panthers-Devils-
71 - 2019-12-13365Kings-Panthers-
74 - 2019-12-16380Panthers-Ducks-
76 - 2019-12-18389Ducks-Panthers-
79 - 2019-12-21407Panthers-Blues-
80 - 2019-12-22414Jets-Panthers-
83 - 2019-12-25431Panthers-Flyers-
84 - 2019-12-26437Stars-Panthers-
87 - 2019-12-29451Panthers-Flyers-
89 - 2019-12-31462Predateurs-Panthers-
91 - 2020-01-02476Panthers-Stars-
92 - 2020-01-03483Senateurs-Panthers-
95 - 2020-01-06500Panthers-Devils-
96 - 2020-01-07507Islanders-Panthers-
101 - 2020-01-12531Maple Leafs-Panthers-
103 - 2020-01-14544Panthers-Maple Leafs-
105 - 2020-01-16556Bruins-Panthers-
106 - 2020-01-17563Panthers-Predateurs-
109 - 2020-01-20576Panthers-Canadiens-
111 - 2020-01-22582Penguins-Panthers-
113 - 2020-01-24596Panthers-Islanders-
115 - 2020-01-26605Penguins-Panthers-
117 - 2020-01-28615Panthers-Oilers-
119 - 2020-01-30627Avalanche-Panthers-
121 - 2020-02-01641Panthers-Islanders-
123 - 2020-02-03648Panthers-Blue Jackets-
125 - 2020-02-05658Bruins-Panthers-
128 - 2020-02-08677Capitals-Panthers-
131 - 2020-02-11691Panthers-Senateurs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13700Blackhawks-Panthers-
135 - 2020-02-15710Panthers-Capitals-
136 - 2020-02-16720Panthers-Blue Jackets-
139 - 2020-02-19730Blue Jackets-Panthers-
141 - 2020-02-21742Panthers-Bruins-
143 - 2020-02-23752Golden Knights-Panthers-
145 - 2020-02-25764Panthers-Capitals-
147 - 2020-02-27773Panthers-Kings-
149 - 2020-02-29784Lightning-Panthers-
152 - 2020-03-03800Devils-Panthers-
154 - 2020-03-05810Panthers-Blackhawks-
155 - 2020-03-06820Panthers-Jets-
158 - 2020-03-09832Devils-Panthers-
161 - 2020-03-12849Lightning-Panthers-
164 - 2020-03-15865Panthers-Lightning-
165 - 2020-03-16868Panthers-Penguins-
167 - 2020-03-18881Canadiens-Panthers-
170 - 2020-03-21894Panthers-Penguins-
171 - 2020-03-22903Blues-Panthers-
174 - 2020-03-25919Capitals-Panthers-
176 - 2020-03-27930Panthers-Senateurs-
178 - 2020-03-29940Islanders-Panthers-
184 - 2020-04-04961Panthers-Lightning-
186 - 2020-04-06971Canadiens-Panthers-
187 - 2020-04-07980Panthers-Avalanche-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603525200
Assistance11,4989,1714,0007,7941,867
Attendance PCT95.82%91.71%100.00%97.43%93.35%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 17165 - 95.36% 1,637,651$3,275,302$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
5,185,717$ 86,272,777$ 86,272,777$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
86,272,777$ 5,051,858$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
63,868,389$ 178 468,639$ 83,417,742$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
84,868,002$ 86,272,777$ -26,996,630$ -47,996,243$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Evander KaneAGE:26PO:74OV:81
Rickard RakellAGE:24PO:74OV:78
Micheal FerlandAGE:25PO:49OV:77
Pontus AbergAGE:24PO:73OV:74
Mathieu PerreaultAGE:29PO:38OV:73
Evan RodriguesAGE:24PO:43OV:70
Alexander VolkovAGE:20PO:63OV:63
David KrejciAGE:31PO:40OV:81
Logan CoutureAGE:28PO:69OV:78
Vinnie HinostrozaAGE:23PO:59OV:75
Vladislav NamestnikovAGE:24PO:68OV:73
Denis MalginAGE:20PO:57OV:70
Mason AppletonAGE:21PO:56OV:70
Ivan BarbashevAGE:21PO:75OV:69
Dillon DubeAGE:19PO:71OV:69
Joel ArmiaAGE:24PO:80OV:72
Jesper FastAGE:25PO:41OV:70
Klim KostinAGE:18PO:80OV:62
Nicolas Aube-KubelAGE:21PO:72OV:60

Défense #1Défense #2Gardien
Alex PietrangeloAGE:27PO:72OV:80
Kris LetangAGE:30PO:53OV:80
Esa LindellAGE:23PO:63OV:78
Patrik NemethAGE:25PO:63OV:75
Radko GudasAGE:27PO:54OV:75
Colin MillerAGE:24PO:42OV:71
Markus NutivaaraAGE:23PO:47OV:69
Trevor van RiemsdykAGE:26PO:36OV:69
Sebastien AhoAGE:21PO:56OV:63
Braden HoltbyAGE:28PO:50OV:86
Curtis McElhinneyAGE:34PO:24OV:85
Alex LyonAGE:24PO:42OV:74

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Aliaksei ProtasPanthers3102
Cal FootePanthers201714
Chad KrysPanthers
Grigori DenisenkoPanthers201828
Jayden StrublePanthers378
Kevin BahlPanthers201857
Mickael DipietroPanthers
Paul BittnerPanthers
Ryan SuzukiPanthers321
Shane PintoPanthers346
Stephen JohnsPanthers

Choix au Repêchage

Année R1R2R3R4R5
4TOR FLA TOR
5EDM FLA FLA
6TB. FLA FLA FLA FLA
7FLA TB. FLA TB. FLA FLA
8FLA FLA FLA FLA FLA



[2019-10-02 21:42:01] - Thunderbird hired Rick Tocchet for 500 000 $ for 2 year(s).
[2019-09-20 19:56:58] - Jake Allen was released.
[2019-09-20 19:56:58] - Panthers paid 0 $ to release Jake Allen.
[2019-09-16 22:43:16] - Victor Rask was released.
[2019-09-16 22:43:16] - Panthers paid 0 $ to release Victor Rask.
[2019-09-16 19:48:14] - Justin Williams was released.
[2019-09-16 19:48:14] - Panthers paid 0 $ to release Justin Williams.
[2019-08-28 16:13:30] - Marek Mazanec was released.
[2019-08-28 16:13:30] - Panthers paid 0 $ to release Marek Mazanec.
[2019-08-26 22:48:02] - Panthers drafts Aliaksei Protas as the #102 overall pick in the Entry Draft of year 3.
[2019-07-12 23:13:03] - Panthers drafts Jayden Struble as the #78 overall pick in the Entry Draft of year 3.
[2019-07-03 23:39:06] - Panthers drafts Shane Pinto as the #46 overall pick in the Entry Draft of year 3.
[2019-07-03 20:32:33] - TRADE : From Lightning to Panthers : Esa Lindell (78), Sebastien Aho (64), Y:6-RND:1-TB., Y:7-RND:2-TB., Y:7-RND:3-TB..
[2019-07-03 20:32:33] - TRADE : From Panthers to Lightning : Bo Horvat (80), Tyler Bozak (73), Alec Regula (P), Y:5-RND:4-FLA.
[2019-07-01 16:04:41] - Panthers drafts Ryan Suzuki as the #21 overall pick in the Entry Draft of year 3.
[2019-06-21 22:29:36] - Alex Lyon has been deleted from Panthers.
[2019-06-21 22:29:23] - Dillon Dube has been deleted from Panthers.
[2019-06-21 22:29:03] - Dillon Dube was added to Panthers.
[2019-06-21 22:28:52] - Alex Lyon was added to Panthers.
[2019-06-19 21:30:39] - TRADE : From Panthers to Devils : Jett Woo (P), Y:4-RND:2-CLB, Y:4-RND:4-TOR.
[2019-06-19 21:30:39] - TRADE : From Devils to Panthers : Micheal Ferland (77), Radko Gudas (76).
[2019-06-01 22:19:31] - Mason Appleton was added to Panthers.
[2019-06-01 22:19:01] - Mason Appleton has been deleted from Panthers.
[2019-05-30 20:10:41] - TRADE : From Panthers to Blue Jackets : Blake Coleman (75), Ryan Johansen (80).
[2019-05-30 20:10:41] - TRADE : From Blue Jackets to Panthers : Patrik Nemeth (75), Kevin Bahl (P), Y:3-RND:1-CLB, Y:3-RND:2-CLB, Y:4-RND:2-CLB.
[2019-05-28 14:13:40] - TRADE : From Panthers to Avalanche : Chris Tierney (72), Oliver Bjorkstrand (75), Y:4-RND:4-FLA.
[2019-05-28 14:13:40] - TRADE : From Avalanche to Panthers : Evander Kane (83).
[2019-05-28 14:12:40] - TRADE : From Panthers to Lightning : Y:4-RND:5-FLA.
[2019-05-28 14:12:40] - TRADE : From Lightning to Panthers : Mathieu Perreault (74).
[2019-05-27 10:36:41] - TRADE : From Lightning to Panthers : Bo Horvat (80), Rickard Rakell (84), Victor Rask (67), Stephen Johns (74), Mickael Dipietro (P), Dillon Dube (P), Y:5-RND:2-EDM.
[2019-05-27 10:36:41] - TRADE : From Panthers to Lightning : Taylor Hall (89), Christian Djoos (67), Andrei Svechnikov (P), Kale Clague (P), Y:5-RND:5-FLA.
[2019-05-27 10:27:47] - TRADE : From Panthers to Oilers : Jakob Chychrun (69), Y:4-RND:2-EDM.
[2019-05-27 10:27:47] - TRADE : From Oilers to Panthers : Braden Holtby (82).
[2019-05-26 21:53:43] - Claude Noel contract with Thunderbird has ended.
[2019-05-12 13:35:07] - General Manager Change : Panthers hired general manager Gerry Lunam
[2019-05-12 13:35:07] - General Manager Change : Panthers fired general manager William Forest
[2019-04-03 21:21:12] - Thunderbird didn't make playoff for year 2.
[2019-04-03 21:21:12] - Panthers didn't make playoff for year 2.
[2019-04-03 20:53:27] - New Record for Team's Most Points (26) in 1 Game for Panthers!
[2019-04-03 20:53:27] - New Record for Team's Most Assists (17) in 1 Game for Panthers!
[2019-04-03 20:53:27] - New Record for Team's Most Goals (9) in 1 Game for Panthers!
[2019-04-03 20:53:27] - New Record for Team's Most Points (26) in 1 Game for Panthers!
[2019-04-03 20:53:27] - New Record for Team's Most Assists (17) in 1 Game for Panthers!
[2019-03-12 21:00:40] - New Record for Team's Most Shots (46) in 1 Game for Panthers!



[2019-10-13 20:52:14] Current fund for Panthers is under 0 $.
[2019-10-13 20:51:48] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-12 20:22:40] David Krejci from Panthers is back from Exhaustion.
[2019-10-12 20:22:40] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-11 20:37:51] Current fund for Panthers is under 0 $.
[2019-10-11 20:37:26] David Krejci from Panthers is injured from Exhaustion.
[2019-10-11 20:37:26] Evander Kane from Panthers completes suspension
[2019-10-10 20:42:36] Current fund for Panthers is under 0 $.
[2019-10-10 20:42:15] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-09 21:18:36] Last 7 Days Pro Star : 1 - Max Pacioretty of Blues (5-6-11) / 2 - Patrice Bergeron of Blues (4-6-10) / 3 - Braden Holtby of Panthers (0,946)
[2019-10-08 20:55:57] Current fund for Panthers is under 0 $.
[2019-10-08 20:54:45] Thunderbird lines for next game are empty. Current rosters/lines are not erased. But, Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-08 12:35:40] Current fund for Panthers is under 0 $.
[2019-10-07 21:49:04] Current fund for Panthers is under 0 $.
[2019-10-07 16:35:01] Current fund for Panthers is under 0 $.
[2019-10-06 20:44:20] Current fund for Panthers is under 0 $.
[2019-10-06 20:44:02] Thunderbird lines for next game are empty. Current rosters/lines are not erased. But, Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-06 11:06:08] Current fund for Panthers is under 0 $.
[2019-10-04 21:28:53] Current fund for Panthers is under 0 $.
[2019-10-04 21:27:26] Current fund for Panthers is under 0 $.
[2019-10-04 21:25:04] Current fund for Panthers is under 0 $.
[2019-10-04 21:24:32] Auto Lines Function has been run for Panthers.
[2019-10-04 21:24:23] Auto Roster Function has been run for Panthers.
[2019-10-04 21:24:23] Alex Lyon of Panthers was sent to farm.
[2019-10-04 21:24:23] Ivan Barbashev of Panthers was sent to farm.
[2019-10-04 21:24:23] Evan Rodrigues of Panthers was sent to farm.
[2019-10-04 21:24:23] Trevor van Riemsdyk of Panthers was sent to farm.
[2019-10-04 21:24:20] Panthers are expected to be over the salary cap by 4 797 777 $!
[2019-10-04 21:24:19] Current fund for Panthers is under 0 $.
[2019-10-04 21:23:21] Panthers are expected to be over the salary cap by 4 797 777 $!
[2019-10-04 21:23:19] Current fund for Panthers is under 0 $.
[2019-10-04 21:22:47] Both Panthers and Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 21:08:26] Panthers are expected to be over the salary cap by 4 797 777 $!
[2019-10-04 21:08:26] Current fund for Panthers is under 0 $.
[2019-10-04 20:56:17] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:17] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:16] Panthers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:14] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:11] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:10] Panthers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Last 7 Days Pro Star : 1 - Logan Couture of Panthers (6-3-9) / 2 - Connor Hellebuyck of Blues (0,955) / 3 - Ryan O'Reilly of Devils (5-4-9)
[2019-10-04 20:56:08] Both Panthers and Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:08] Logan Couture from Panthers has scored a Hat Trick!
[2019-10-04 20:56:07] Panthers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:06] Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:04] Both Panthers and Thunderbird lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:01] Both Panthers and Thunderbird lines for next game are empty. Current rosters/lines are not erased.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
3522000011012-22010000126-4321000008625101929004330183558345318247529621419.05%26484.62%05912646.83%7413953.24%365664.29%10661111468741
Total Saison Régulière522000011012-22010000126-4321000008625101929004330183558345318247529621419.05%26484.62%05912646.83%7413953.24%365664.29%10661111468741