Panthers

GP: 82 | W: 29 | L: 46 | OTL: 7 | P: 65
GF: 242 | GA: 292 | PP%: 20.40% | PK%: 74.81%
DG: Jacques Belanger | Morale : 10 | Moyenne d'Équipe : 68
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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
1Taylor Hall (C)XX100.006943859475837291459680595571728317750
2Mats Zuccarello (A)XX97.007743858861838185368576748968718024740
3J.T. Miller (A)XXX98.008045878878699682758475638069727534730
4Scott LaughtonXXX100.008355817971689958866970862562637357690
5Marcus FolignoX100.009088817387629762406563842569706833680
6Matt MoulsonXX100.007674806974788170506366756376776925670
7Kyle BrodziakXX100.007854867277619361885459852581846633660
8Devante Smith-PellyXX100.007956907579589059385758817568716629650
9Ryan CallahanXX100.008244917466597759346564786177836930650
10Adam CracknellXXX100.008383826983747767506266736360616932650
11Kyle CliffordX100.008194647580567864356267652573766767640
12Patrik NemethX99.008456797181708860255146982561626535710
13Greg PaterynX100.008356857182729460254847872564656419690
14Trevor DaleyX100.006141918170766257255047836384876229680
15Jamie OleksiakX100.008981787595668061255248762564656218680
16Alexander PetrovicX100.009848797478706858254647782565666212670
17Libor Hajek (R)X100.007775768077778060255641753744445156650
18Nathan BeaulieuX100.007886777777677162255547692565666133650
Rayé
1Andrew LaddXX60.367944827673676864367562696984886819661
2Adam McQuaidX77.418970767282686256254848872571756212680
3Jonas SiegenthalerX86.927745886882648557255247832549496148650
MOYENNE D'ÉQUIPE96.05816182767869816440625878446870673268
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
1Carter Hutton100.00737170767174587378737062637130690
2Antti Raanta100.00705959718061616876705860616818660
Rayé
MOYENNE D'ÉQUIPE100.0072656574766860717772646162702468
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube66917888706176CAN493800,000$


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
1Mats ZuccarelloPanthersLW/RW7338478515140108932777816213.72%26142819.57511162214411231114232.19%1465319111.1912000495
2Taylor HallPanthersC/LW682555801240801162279316011.01%44149622.01410142014802221753036.10%14968537001.0700000527
3J.T. MillerPanthersC/LW/RW813736730280113972787815413.31%35164220.2888163417400011135146.91%7617636010.8903000325
4Ryan CallahanPanthersLW/RW82201939-66079721544911612.99%20109013.301345271011484028.57%563021100.7100000403
5Matt MoulsonPanthersLW/RW81182038359259587190611139.47%21134516.61651119120000280235.53%763218000.5611023120
6Kyle BrodziakPanthersC/RW80102333-92810729513450897.46%27105213.162134390000210057.25%5102228000.6300002011
7Scott LaughtonPanthersC/LW/RW83624308260121110138501194.35%33123314.8615655702231290049.05%5243927000.4900000121
8Devante Smith-PellyPanthersLW/RW82101727-181210676614146687.09%30100112.220000160002561125.00%401822000.5400011113
9Marcus FolignoPanthersLW831214267431510679106445611.32%29104512.592466551012600341.18%511317000.5000201023
10Andrew LaddPanthersLW/RW56121123-18375686612934689.30%23101018.0521361040001352135.19%542916000.4600010310
11Patrik NemethPanthersD8041822-77951221459648464.17%127197124.6404441901122195000.00%02176100.2200001102
12Greg PaterynPanthersD6941620-4220841288336324.82%97155922.6031491400000151010.00%0746000.2600000010
13Trevor DaleyPanthersD7631518-1475311006930314.35%73152120.0204431200000144010.00%01151000.2401010101
14Adam CracknellPanthersC/LW/RW8171118-132515585415053934.67%1683810.3601103000021033.19%232268000.4300111000
15Adam McQuaidPanthersD783912-149735781136124264.92%66130716.76224480000076000.00%0634000.1801304010
16Jacob de La RoseChicoutimi Sagueneens (FLA)C/LW425712000213441163312.20%23047.25000040000110042.42%66106000.7900000000
17Jamie OleksiakPanthersD7737104611572625915245.08%81114614.89101571000086100.00%0839100.1701021010
18Kyle CliffordPanthersLW55448-5361031224615278.70%133716.7600012000021035.29%34168000.4300101000
19Alexander PetrovicPanthersD77066-1046070773322170.00%6198112.7500004000059000.00%0236000.1200000000
20Garnet HathawayChicoutimi Sagueneens (FLA)C/LW/RW67426-1715563555513317.27%145558.30000010000212030.56%180124000.2200010001
21Jonas SiegenthalerPanthersD530442802441202110.00%245139.68011228000135000.00%1213000.1600000000
22Nathan BeaulieuPanthersD51134-231518995411.11%93546.9500000000017000.00%028000.2300000000
23Corey TroppChicoutimi Sagueneens (FLA)LW/RW2011000101100.00%1136.920000000000000.00%020001.4500000000
24Scott WilsonChicoutimi Sagueneens (FLA)C/LW/RW3000020116120.00%0299.92000000000100100.00%110000.0000000000
25Libor HajekPanthersD18000-2120664000.00%71498.300000000018000.00%114000.0000000000
26Jacob NilssonChicoutimi Sagueneens (FLA)D3000100031000.00%0258.360000000000000.00%000000.0000000000
27Aleksi SaarelaChicoutimi Sagueneens (FLA)C/LW1000000010000.00%166.000000000000000.00%110000.0000000000
28Jakub ZborilChicoutimi Sagueneens (FLA)D10000240454110.00%410610.680000000000000.00%002000.0000000000
29Maxim LetunovChicoutimi Sagueneens (FLA)C2000-100000000.00%042.310000000000000.00%100000.0000000000
30Josh JoorisChicoutimi Sagueneens (FLA)C/LW/RW6000-100223100.00%1416.84000000000000100.00%102000.0000000000
Stats d'équipe Total ou en Moyenne1620226369595-9872216015951739251586614838.99%8852415114.9137619814915384610211573241241.59%4232525578420.49297915242532
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
1Antti RaantaPanthers49132740.9063.202792011491581887430.66794538222
2Carter HuttonPanthers43132250.9003.562327201381377694000.75043943532
Stats d'équipe Total ou en Moyenne92264990.9033.3651202128729581581430.692138481754


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam CracknellPanthersC/LW/RW321985-07-15No220 Lbs6 ft4YesNoNo2Pro & Farm3,000,000$3,000,000$20,979$No3,000,000$Lien
Adam McQuaid (Sur la Masse Salariale)PanthersD311986-10-12No212 Lbs6 ft5NoNoNo1Pro & Farm3,025,000$3,025,000$21,154$NoLien
Alexander PetrovicPanthersD261992-03-03No206 Lbs6 ft4NoNoNo1Pro & Farm1,250,000$1,250,000$8,741$NoLien
Andrew Ladd (Sur la Masse Salariale)PanthersLW/RW321985-12-12No192 Lbs6 ft3NoNoNo2Pro & Farm5,500,000$5,500,000$38,462$No5,500,000$Lien
Antti RaantaPanthersG291989-05-11No195 Lbs6 ft0NoNoNo2Pro & Farm4,250,000$4,250,000$29,720$No4,250,000$Lien
Carter HuttonPanthersG321985-12-18No202 Lbs6 ft1YesNoNo2Pro & Farm2,750,000$2,750,000$19,231$No2,750,000$Lien
Devante Smith-PellyPanthersLW/RW261992-06-14No223 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$6,993$NoLien
Greg PaterynPanthersD281990-06-20No224 Lbs6 ft3NoNoNo2Pro & Farm2,500,000$2,500,000$17,483$No2,500,000$Lien
J.T. MillerPanthersC/LW/RW251993-03-13No218 Lbs6 ft1NoNoNo4Pro & Farm5,250,000$5,250,000$36,713$No5,250,000$5,250,000$5,250,000$Lien
Jamie OleksiakPanthersD251992-12-21No255 Lbs6 ft7NoNoNo2Pro & Farm2,137,500$2,137,500$14,948$No2,137,500$Lien
Jonas Siegenthaler (Sur la Masse Salariale)PanthersD211997-05-06No220 Lbs6 ft3NoNoNo1Pro & Farm714,166$714,166$4,994$NoLien
Kyle BrodziakPanthersC/RW341984-05-25No209 Lbs6 ft2YesNoNo1Pro & Farm1,150,000$1,150,000$8,042$NoLien
Kyle CliffordPanthersLW271991-01-13No211 Lbs6 ft2YesNoNo1Pro & Farm1,500,000$1,500,000$10,490$NoLien
Libor HajekPanthersD201998-02-03Yes202 Lbs6 ft2NoNoNo3Pro & Farm833,333$833,333$5,828$No833,333$833,333$Lien
Marcus FolignoPanthersLW261991-08-10No232 Lbs6 ft3NoNoNo2Pro & Farm2,875,000$2,875,000$20,105$No2,875,000$Lien
Mats ZuccarelloPanthersLW/RW301987-08-31No179 Lbs5 ft8NoNoNo4Pro & Farm6,000,000$6,000,000$41,958$No6,000,000$6,000,000$6,000,000$Lien
Matt MoulsonPanthersLW/RW341983-11-01No200 Lbs6 ft1YesNoNo2Pro & Farm3,000,000$3,000,000$20,979$No3,000,000$Lien
Nathan BeaulieuPanthersD251992-12-04No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$6,993$NoLien
Patrik Nemeth (Sur la Masse Salariale)PanthersD261992-02-07No219 Lbs6 ft3NoNoNo2Pro & Farm3,000,000$0$0$Yes3,000,000$Lien
Ryan CallahanPanthersLW/RW331985-03-21No187 Lbs5 ft10YesNoNo2Pro & Farm3,000,000$3,000,000$20,979$No3,000,000$Lien
Scott LaughtonPanthersC/LW/RW241994-05-29No190 Lbs6 ft1NoNoNo2Pro & Farm2,300,000$2,300,000$16,084$No2,300,000$Lien
Taylor HallPanthersC/LW261991-11-13No205 Lbs6 ft1NoNoNo1Pro & Farm15,200,000$15,200,000$106,294$NoLien
Trevor DaleyPanthersD341983-10-09No195 Lbs5 ft11NoNoNo1Pro & Farm3,178,000$3,178,000$22,224$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2328.09209 Lbs6 ft21.833,235,348$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
74,412,999$46,395,833$12,083,333$11,250,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mats ZuccarelloKyle BrodziakJ.T. Miller35122
2Marcus FolignoScott LaughtonMatt Moulson32122
3Ryan CallahanTaylor HallDevante Smith-Pelly21122
4Kyle CliffordAdam CracknellMatt Moulson12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Trevor DaleyNathan Beaulieu35122
2Patrik NemethGreg Pateryn29122
3Jamie OleksiakAlexander Petrovic26122
4Greg PaterynLibor Hajek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mats ZuccarelloTaylor HallJ.T. Miller60122
2Marcus FolignoScott LaughtonMatt Moulson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrik NemethAlexander Petrovic60122
2Trevor DaleyLibor Hajek40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kyle BrodziakMats Zuccarello60122
2J.T. MillerScott Laughton40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrik NemethJamie Oleksiak60122
2Trevor DaleyNathan Beaulieu40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Scott Laughton60122Patrik NemethJamie Oleksiak60122
2Mats Zuccarello40122Trevor DaleyNathan Beaulieu40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Adam CracknellMats Zuccarello60122
2J.T. MillerScott Laughton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrik NemethAlexander Petrovic60122
2Trevor DaleyJamie Oleksiak40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mats ZuccarelloTaylor HallJ.T. MillerPatrik NemethTrevor Daley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mats ZuccarelloKyle BrodziakJ.T. MillerPatrik NemethTrevor Daley
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kyle Brodziak, Ryan Callahan, Devante Smith-PellyKyle Brodziak, Ryan CallahanDevante Smith-Pelly
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nathan Beaulieu, Jamie Oleksiak, Alexander PetrovicNathan BeaulieuJamie Oleksiak, Alexander Petrovic
Tirs de Pénalité
Taylor Hall, Mats Zuccarello, J.T. Miller, Scott Laughton, Marcus Foligno
Gardien
#1 : Antti Raanta, #2 : Carter Hutton
Lignes d'Attaque Perso. en Prol.
Taylor Hall, Mats Zuccarello, J.T. Miller, Scott Laughton, Marcus Foligno, Matt Moulson, Matt Moulson, Kyle Brodziak, Ryan Callahan, Devante Smith-Pelly, Adam Cracknell
Lignes de Défense Perso. en Prol.
Patrik Nemeth, Greg Pateryn, Trevor Daley, Nathan Beaulieu, Jamie Oleksiak


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
1Avalanche211000004401010000013-21100000031220.5004610001120631419300712012346116.67%6183.33%0821178146.10%852188845.13%545124843.67%372047183417
2Blackhawks2020000049-51010000025-31010000024-200.000459002020611820230762618282150.00%9366.67%0821178146.10%852188845.13%545124843.67%382046183516
3Blues21100000880110000004311010000045-120.50081018003320822931220701320386350.00%5260.00%1821178146.10%852188845.13%545124843.67%442640183517
4Bruins210001001394110000009451000010045-130.7501322350036407626292107815304111545.45%5260.00%0821178146.10%852188845.13%545124843.67%462841183417
5Canadiens210001005321000010012-11100000041330.750591400221057202116060161240600.00%6183.33%0821178146.10%852188845.13%545124843.67%392145193517
6Canucks40400000817-92020000038-52020000059-400.00081220002240114363345015243237513215.38%9366.67%0821178146.10%852188845.13%545124843.67%824685357136
7Capitals20200000512-71010000024-21010000038-500.00051015001220641920250672819344375.00%7442.86%0821178146.10%852188845.13%545124843.67%402444183416
8Devils31200000912-320200000510-51100000042220.33391423002430932927370108292347500.00%10280.00%1821178146.10%852188845.13%545124843.67%573068275326
9Ducks30200010410-61010000013-22010001037-420.333448001202932340285114393760500.00%8275.00%0821178146.10%852188845.13%545124843.67%623569275226
10Flames21100000862110000006241010000024-220.50081220004220541917180722225436116.67%5180.00%0821178146.10%852188845.13%545124843.67%351846193819
11Flyers513001001221-93110010069-320200000612-630.30012193100084014339535011766144871218.33%17664.71%0821178146.10%852188845.13%545124843.67%10158115458541
12Golden Knights330000001165110000003122200000085361.0001119300027209423482301013146557114.29%13192.31%0821178146.10%852188845.13%545124843.67%552969305426
13Golden Seals2010010046-21010000012-11000010034-110.250471100112067132529070191440500.00%7185.71%0821178146.10%852188845.13%545124843.67%422443173417
14Islanders220000001138110000003121100000082641.000112031003530772032250732216284250.00%8187.50%0821178146.10%852188845.13%545124843.67%412445183316
15Jets31200000712-51010000016-52110000066020.33371017001510733011320893037467114.29%11372.73%0821178146.10%852188845.13%545124843.67%552765305828
16Kings413000001117-6211000009902020000028-620.250111627003350122344345013533287210220.00%14285.71%0821178146.10%852188845.13%545124843.67%804286377336
17Lightning30300000612-62020000059-41010000013-200.0006121810132085234022010444295910110.00%12375.00%0821178146.10%852188845.13%545124843.67%583065285626
18Maple Leafs21001000642100010003211100000032141.0006111700041167182721179196457228.57%2150.00%0821178146.10%852188845.13%545124843.67%432542183417
19Maroons32100000191451010000056-122000000148640.66719284700595013436494901093628568225.00%9455.56%0821178146.10%852188845.13%545124843.67%654062265225
20Nordiques440000001789220000009542200000083581.00017254200210501312951510122291887900.00%10190.00%0821178146.10%852188845.13%545124843.67%834785367035
21Oilers3010001189-11000000123-12010001066030.50089170011519527234012103431854700.00%9188.89%0821178146.10%852188845.13%545124843.67%633569285627
22Penguins431000001266211000005412200000072560.750122133002190129443352012958177413323.08%60100.00%0821178146.10%852188845.13%545124843.67%764190387235
23Rangers2020000039-61010000026-41010000013-200.000358000300612019220792514382150.00%2150.00%0821178146.10%852188845.13%545124843.67%382247183315
24Red Wings30200100611-52010010057-21010000014-310.167611170013201042248340933524715120.00%12558.33%0821178146.10%852188845.13%545124843.67%613563285526
25Sabres42100100181712200000095420100100912-350.625183250004104012643523101363732696350.00%16475.00%1821178146.10%852188845.13%545124843.67%794491377334
26Senateurs40400000919-1020200000310-72020000069-300.00091726002250125453842015441276810330.00%11554.55%0821178146.10%852188845.13%545124843.67%794689357034
27Sharks2020000049-51010000013-21010000036-300.0004610000220561223210702646313133.33%13192.31%0821178146.10%852188845.13%545124843.67%351948203615
28Stars2020000048-41010000013-21010000035-200.00044800211057122223058201232400.00%6266.67%0821178146.10%852188845.13%545124843.67%382145183618
Total82264601621242292-5041122401301111142-3141142200320131150-19650.3962423866281051105834260275693290519282289070815222014120.40%2626674.81%4821178146.10%852188845.13%545124843.67%164792218317691468714
30Wild30300000611-52020000047-31010000024-200.00061016000330993338280743033708112.50%14378.57%1821178146.10%852188845.13%545124843.67%613464305424
_Since Last GM Reset82264601621242292-5041122401301111142-3141142200320131150-19650.3962423866281051105834260275693290519282289070815222014120.40%2626674.81%4821178146.10%852188845.13%545124843.67%164792218317691468714
_Vs Conference46152801200140169-2924814011007084-1422714001007085-15340.3701402243641029585211447429516500215764993408651182218.64%1403872.86%2821178146.10%852188845.13%545124843.67%9245181018427824402
_Vs Division2911160020087105-181577001004450-61449001004355-12240.4148714222900153636089027030331611004302189532731419.18%832174.70%1821178146.10%852188845.13%545124843.67%583327645266517255

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8265OTL124238662826022822890708152210
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8226461621242292
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112241301111142
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114220320131150
Derniers 10 Matchs
WLOTWOTL SOWSOL
350200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2014120.40%2626674.81%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
7569329051951105834
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
821178146.10%852188845.13%545124843.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
164792218317691468714


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
1 - 2019-10-046Flyers5Panthers2LSommaire du Match
3 - 2019-10-0633Wild3Panthers2LSommaire du Match
7 - 2019-10-1061Sabres4Panthers6WSommaire du Match
8 - 2019-10-1175Panthers7Maroons3WSommaire du Match
10 - 2019-10-1390Senateurs5Panthers2LSommaire du Match
13 - 2019-10-16110Panthers3Penguins1WSommaire du Match
14 - 2019-10-17118Panthers4Oilers5LSommaire du Match
15 - 2019-10-18127Canucks4Panthers1LSommaire du Match
17 - 2019-10-20150Kings3Panthers5WSommaire du Match
19 - 2019-10-22162Panthers0Kings4LSommaire du Match
20 - 2019-10-23180Penguins2Panthers1LSommaire du Match
23 - 2019-10-26199Panthers4Nordiques1WSommaire du Match
24 - 2019-10-27210Devils6Panthers3LSommaire du Match
26 - 2019-10-29229Panthers0Ducks5LSommaire du Match
27 - 2019-10-30240Flyers3Panthers2LXSommaire du Match
30 - 2019-11-02258Panthers4Nordiques2WSommaire du Match
31 - 2019-11-03271Capitals4Panthers2LSommaire du Match
33 - 2019-11-05289Panthers3Ducks2WXXSommaire du Match
35 - 2019-11-07302Rangers6Panthers2LSommaire du Match
37 - 2019-11-09321Panthers2Flames4LSommaire du Match
38 - 2019-11-10327Panthers2Canucks4LSommaire du Match
39 - 2019-11-11337Flames2Panthers6WSommaire du Match
41 - 2019-11-13359Panthers3Sharks6LSommaire du Match
42 - 2019-11-14366Oilers3Panthers2LXXSommaire du Match
44 - 2019-11-16390Maple Leafs2Panthers3WXSommaire du Match
46 - 2019-11-18405Panthers4Blues5LSommaire du Match
48 - 2019-11-20421Bruins4Panthers9WSommaire du Match
50 - 2019-11-22440Panthers3Stars5LSommaire du Match
51 - 2019-11-23451Golden Seals2Panthers1LSommaire du Match
53 - 2019-11-25465Panthers1Red Wings4LSommaire du Match
55 - 2019-11-27480Ducks3Panthers1LSommaire du Match
57 - 2019-11-29500Panthers8Islanders2WSommaire du Match
59 - 2019-12-01511Senateurs5Panthers1LSommaire du Match
60 - 2019-12-02518Panthers4Penguins1WSommaire du Match
63 - 2019-12-05541Golden Knights1Panthers3WSommaire du Match
64 - 2019-12-06553Panthers5Golden Knights4WSommaire du Match
66 - 2019-12-08571Canucks4Panthers2LSommaire du Match
67 - 2019-12-09581Panthers3Flyers6LSommaire du Match
69 - 2019-12-11593Panthers4Canadiens1WSommaire du Match
70 - 2019-12-12607Stars3Panthers1LSommaire du Match
72 - 2019-12-14629Devils4Panthers2LSommaire du Match
73 - 2019-12-15641Panthers3Flyers6LSommaire du Match
76 - 2019-12-18662Islanders1Panthers3WSommaire du Match
77 - 2019-12-19676Panthers3Canucks5LSommaire du Match
80 - 2019-12-22691Sharks3Panthers1LSommaire du Match
82 - 2019-12-24711Panthers7Maroons5WSommaire du Match
83 - 2019-12-25720Maroons6Panthers5LSommaire du Match
84 - 2019-12-26732Panthers1Lightning3LSommaire du Match
86 - 2019-12-28750Panthers2Oilers1WXXSommaire du Match
87 - 2019-12-29755Nordiques3Panthers5WSommaire du Match
90 - 2020-01-01780Wild4Panthers2LSommaire du Match
91 - 2020-01-02791Panthers2Blackhawks4LSommaire du Match
94 - 2020-01-05812Avalanche3Panthers1LSommaire du Match
95 - 2020-01-06824Panthers2Kings4LSommaire du Match
96 - 2020-01-07832Panthers2Jets5LSommaire du Match
98 - 2020-01-09847Nordiques2Panthers4WSommaire du Match
101 - 2020-01-12870Kings6Panthers4LSommaire du Match
104 - 2020-01-15888Panthers3Golden Seals4LXSommaire du Match
105 - 2020-01-16901Sabres1Panthers3WSommaire du Match
106 - 2020-01-17908Panthers4Devils2WSommaire du Match
108 - 2020-01-19929Blues3Panthers4WSommaire du Match
110 - 2020-01-21943Panthers4Bruins5LXSommaire du Match
111 - 2020-01-22958Lightning6Panthers3LSommaire du Match
114 - 2020-01-25980Panthers1Rangers3LSommaire du Match
115 - 2020-01-26994Lightning3Panthers2LSommaire du Match
116 - 2020-01-271002Panthers3Maple Leafs2WSommaire du Match
118 - 2020-01-291021Jets6Panthers1LSommaire du Match
120 - 2020-01-311035Panthers2Senateurs3LSommaire du Match
121 - 2020-02-011050Canadiens2Panthers1LXSommaire du Match
123 - 2020-02-031060Panthers3Avalanche1WSommaire du Match
125 - 2020-02-051080Penguins2Panthers4WSommaire du Match
127 - 2020-02-071099Panthers5Sabres7LSommaire du Match
128 - 2020-02-081109Red Wings3Panthers2LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
130 - 2020-02-101126Panthers3Golden Knights1WSommaire du Match
131 - 2020-02-111141Panthers2Wild4LSommaire du Match
132 - 2020-02-121146Red Wings4Panthers3LSommaire du Match
134 - 2020-02-141171Flyers1Panthers2WSommaire du Match
135 - 2020-02-151174Panthers4Jets1WSommaire du Match
136 - 2020-02-161187Panthers4Senateurs6LSommaire du Match
139 - 2020-02-191205Blackhawks5Panthers2LSommaire du Match
140 - 2020-02-201212Panthers3Capitals8LSommaire du Match
141 - 2020-02-211216Panthers4Sabres5LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance185,574192,37777,175156,50229,636
Attendance PCT75.44%93.84%94.12%95.43%72.28%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 15641 - 86.89% 1,521,195$62,368,993$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
66,984,729$ 65,173,833$ 51,173,833$ 0$ 4,250,000$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
62,173,833$ 64,236,476$ 0$ 19 4

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 461,355$ 461,355$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
461,355$ 67,289,833$ 41,779,614$ 41,318,259$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Taylor HallAGE:26PO:83OV:75
Mats ZuccarelloAGE:30PO:80OV:74
J.T. MillerAGE:25PO:75OV:73
Scott LaughtonAGE:24PO:73OV:69
Marcus FolignoAGE:26PO:68OV:68
Matt MoulsonAGE:34PO:69OV:67
Andrew LaddAGE:32PO:68OV:66
Ryan CallahanAGE:33PO:69OV:65
Adam CracknellAGE:32PO:69OV:65
Devante Smith-PellyAGE:26PO:66OV:65
Garnet HathawayAGE:26PO:69OV:64
Kyle CliffordAGE:27PO:67OV:64
Aleksi SaarelaAGE:21PO:69OV:63
Jacob de La RoseAGE:23PO:66OV:63
Scott WilsonAGE:26PO:66OV:62
Miikka SalomakiAGE:25PO:65OV:61
Spencer FooAGE:24PO:64OV:60
Rocco GrimaldiAGE:25PO:62OV:60
Josh JoorisAGE:27PO:57OV:59
*Brayden BurkeAGE:21PO:62OV:58
Corey TroppAGE:28PO:61OV:58
*Dylan SikuraAGE:23PO:61OV:57
Braden ChristofferAGE:23PO:55OV:54
Samuel LabergeAGE:21PO:52OV:53
*Bokondji ImamaAGE:21PO:51OV:51
Taylor HallAGE:26PO:83OV:75
J.T. MillerAGE:25PO:75OV:73
Scott LaughtonAGE:24PO:73OV:69
Kyle BrodziakAGE:34PO:66OV:66
Adam CracknellAGE:32PO:69OV:65
Garnet HathawayAGE:26PO:69OV:64
Aleksi SaarelaAGE:21PO:69OV:63
Jacob de La RoseAGE:23PO:66OV:63
Scott WilsonAGE:26PO:66OV:62
*Dylan GambrellAGE:21PO:67OV:61
Miikka SalomakiAGE:25PO:65OV:61
Rocco GrimaldiAGE:25PO:62OV:60
Mike VecchioneAGE:25PO:62OV:60
Josh JoorisAGE:27PO:57OV:59
Clark BishopAGE:22PO:61OV:58
*Dylan SikuraAGE:23PO:61OV:57
*Maxim LetunovAGE:22PO:61OV:57
*Nolan StevensAGE:21PO:59OV:55
*Jonathan AngAGE:20PO:56OV:55
*Pascal LabergeAGE:20PO:60OV:54
Braden ChristofferAGE:23PO:55OV:54
Mats ZuccarelloAGE:30PO:80OV:74
J.T. MillerAGE:25PO:75OV:73
Scott LaughtonAGE:24PO:73OV:69
Matt MoulsonAGE:34PO:69OV:67
Andrew LaddAGE:32PO:68OV:66
Kyle BrodziakAGE:34PO:66OV:66
Ryan CallahanAGE:33PO:69OV:65
Adam CracknellAGE:32PO:69OV:65
Devante Smith-PellyAGE:26PO:66OV:65
Garnet HathawayAGE:26PO:69OV:64
Scott WilsonAGE:26PO:66OV:62
Miikka SalomakiAGE:25PO:65OV:61
Spencer FooAGE:24PO:64OV:60
Rocco GrimaldiAGE:25PO:62OV:60
Mike VecchioneAGE:25PO:62OV:60
Josh JoorisAGE:27PO:57OV:59
*Brayden BurkeAGE:21PO:62OV:58
Corey TroppAGE:28PO:61OV:58
*Dylan SikuraAGE:23PO:61OV:57

Défense #1Défense #2Gardien
Patrik NemethAGE:26PO:65OV:71
Greg PaterynAGE:28PO:64OV:69
Adam McQuaidAGE:31PO:62OV:68
Trevor DaleyAGE:34PO:62OV:68
Jamie OleksiakAGE:25PO:62OV:68
Alexander PetrovicAGE:26PO:62OV:67
Jonas SiegenthalerAGE:21PO:61OV:65
Nathan BeaulieuAGE:25PO:61OV:65
*Libor HajekAGE:20PO:51OV:65
Alex LintuniemiAGE:22PO:57OV:63
Jakub ZborilAGE:21PO:55OV:59
Ludwig BystromAGE:23PO:55OV:58
Zach FryeAGE:24PO:56OV:56
*Jacob NilssonAGE:16PO:59OV:55
Jeff TaylorAGE:24PO:51OV:54
*Jonathan RacineAGE:25PO:48OV:51
Carter HuttonAGE:32PO:71OV:69
Antti RaantaAGE:29PO:68OV:66
Marcus HogbergAGE:23PO:66OV:65
Anthony StolarzAGE:24PO:60OV:60
Adin HillAGE:22PO:60OV:60
Aaron DellAGE:29PO:56OV:56
Ville HussoAGE:23PO:50OV:53

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
Adam WernerPanthers2016147
Andrew PeekePanthers201645
Antoine MorandPanthers201755
Ben StormPanthers2013154
Casey StaumPanthers2016158
Christopher ClappertonPanthers2013124
Christopher PaquettePanthers2016163
Gabriel FortierPanthers201858
Gianni FairbrotherPanthers201982
Hugh McGingPanthers2018148
Jacob LeguerrierPanthers2019142
Jean DupuyPanthers
Joachim BlichfeldPanthers2016141
Jonathan GrudenPanthers201892
Josh NorrisPanthers201725
MATT SCHMALZPanthers2015138
Matthew BerkovitzPanthers2014156
NIKITA GUSEVPanthers2012202
Nathan SmithPanthers201886
Patrik VirtaPanthers2017140
Pavel ShenPanthers2018208
Reilly WalshPanthers201779
Saku SalminenPanthers2013184
Samuel PoulinPanthers201922
Santeri AirolaPanthers2019202
Will FrancisPanthers2019172

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2020FLA COL FLA FLA WAS FLA FLA FLA LAK PIT FLA DAL
2021FLA FLA FLA FLA FLA FLA FLA FLA
2022FLA FLA FLA FLA FLA FLA FLA FLA
2023FLA FLA FLA FLA FLA FLA FLA FLA
2024FLA FLA FLA FLA FLA FLA FLA FLA



[2020-04-06 17:00:37] - Jonas Siegenthaler has been selected as assistant for Chicoutimi Sagueneens.
[2020-04-06 17:00:37] - Unknown Player is no longer as assistant for Chicoutimi Sagueneens.
[2020-04-06 17:00:37] - Miikka Salomaki has been selected as assistant for Chicoutimi Sagueneens.
[2020-04-06 17:00:37] - Unknown Player is no longer as assistant for Chicoutimi Sagueneens.
[2020-04-06 17:00:37] - Aleksi Saarela has been selected as captain for Chicoutimi Sagueneens.
[2020-04-06 17:00:37] - Unknown Player is no longer captain for Chicoutimi Sagueneens.
[2020-02-10 20:03:09] - TRADE : From Panthers to Penguins : Y:2020-RND:4-COL, Y:2020-RND:6-FLA.
[2020-02-10 20:03:09] - TRADE : From Penguins to Panthers : Marcus Foligno (68), Y:2020-RND:7-PIT.
[2020-02-10 20:01:58] - TRADE : From Panthers to Flyers : Travis Zajac (74).
[2020-02-10 20:01:58] - TRADE : From Flyers to Panthers : Scott Laughton (69).
[2020-02-04 18:47:31] - New Record for Team's Most Shots (52) in 1 Game for Panthers!
[2020-01-13 16:07:58] - TRADE : From Stars to Panthers : Y:2020-RND:8-DAL.
[2020-01-13 16:07:58] - TRADE : From Panthers to Stars : Laurent Dauphin (59).
[2019-12-27 11:16:10] - TRADE : From Panthers to Avalanche : NIKITA PAVLYCHEV (P).
[2019-12-13 11:39:28] - TRADE : From Panthers to Capitals : Henrik Lundqvist (74).
[2019-12-13 11:39:28] - TRADE : From Capitals to Panthers : Antti Raanta (66), Brayden Burke (58), Y:2020-RND:3-WAS.
[2019-11-05 20:41:06] - TRADE : From Panthers to Avalanche : Jay Bouwmeester (72), Pekka Rinne (82).
[2019-11-05 20:41:06] - TRADE : From Avalanche to Panthers : Adin Hill (60), Henrik Lundqvist (74), Libor Hajek (56), NIKITA GUSEV (P), Y:2020-RND:1-COL.
[2019-10-26 15:45:51] - J.T. Miller has been selected as assistant for Panthers.
[2019-10-26 15:45:51] - Unknown Player is no longer as assistant for Panthers.
[2019-10-26 15:45:51] - Taylor Hall has been selected as captain for Panthers.
[2019-10-26 15:45:51] - Unknown Player is no longer captain for Panthers.
[2019-10-11 17:21:16] - TRADE : From Kings to Panthers : Y:2020-RND:7-LAK.
[2019-10-11 17:21:16] - TRADE : From Panthers to Kings : Luke Schenn (68).
[2019-10-09 13:35:15] - Luke Schenn was added to Panthers.
[2019-10-09 13:35:15] - Panthers claimed Luke Schenn from waivers by Kings for 0 $.
[2019-10-09 13:34:43] - Panthers show interest in Luke Schenn from waiver.
[2019-10-09 13:33:18] - Aaron Dell was added to Panthers.
[2019-10-09 13:33:18] - Panthers claimed Aaron Dell from waivers by Avalanche for 0 $.
[2019-10-09 13:33:15] - Alexander Petrovic was added to Panthers.
[2019-10-09 13:33:15] - Panthers claimed Alexander Petrovic from waivers by Canucks for 0 $.
[2019-10-09 13:33:06] - Panthers show interest in Aaron Dell from waiver.
[2019-10-09 13:33:00] - Panthers show interest in Alexander Petrovic from waiver.
[2019-09-30 18:14:26] - TRADE : From Stars to Panthers : Y:2020-RND:4-COL.
[2019-09-30 18:14:26] - TRADE : From Panthers to Stars : Gabriel Bourque (63).
[2019-09-26 16:06:26] - TRADE : From Panthers to Devils : Roope Hintz (65).
[2019-09-26 16:06:26] - TRADE : From Devils to Panthers : Joachim Blichfeld (P), Reilly Walsh (P).
[2019-09-22 12:06:18] - Chris Summers was released.
[2019-09-10 15:28:16] - Kyle Clifford signed with Panthers for 1 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:28:16] - Kyle Clifford was added to Panthers.
[2019-09-08 15:43:59] - Ryan Callahan signed with Panthers for 3 000 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:43:59] - Ryan Callahan was added to Panthers.
[2019-09-08 15:43:45] - Matt Moulson signed with Panthers for 3 000 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:43:45] - Matt Moulson was added to Panthers.
[2019-09-08 15:38:50] - Adam Cracknell signed with Panthers for 3 000 000 $ for 2 year(s) / Option : No Trade.
[2019-09-08 15:38:50] - Adam Cracknell was added to Panthers.
[2019-09-05 20:21:14] - Corey Tropp signed with Panthers for 700 000 $ for 1 year(s).
[2019-09-05 20:21:14] - Corey Tropp was added to Panthers.
[2019-09-05 20:20:57] - Josh Jooris signed with Panthers for 700 000 $ for 1 year(s) / Option : No Trade.
[2019-09-05 20:20:57] - Josh Jooris was added to Panthers.
[2019-09-05 20:15:29] - Devante Smith-Pelly signed with Panthers for 1 000 000 $ for 1 year(s).
[2019-09-05 20:15:29] - Devante Smith-Pelly was added to Panthers.
[2019-09-05 20:00:21] - Gabriel Bourque signed with Panthers for 700 000 $ for 1 year(s).
[2019-09-05 20:00:21] - Gabriel Bourque was added to Panthers.
[2019-09-05 19:57:00] - Panthers hired Craig Berube for 800 000 $ for 3 year(s).



[2020-04-27 19:35:15] J.T. Miller from Panthers has scored a Hat Trick!
[2020-04-27 19:34:30] Successfully loaded Panthers lines done with STHS Client - 3.2.0.5
[2020-04-24 15:18:41] Game 1212 - Adam McQuaid from Panthers is injured (Broken Bone (Right Leg)) and is out for 1 month.
[2020-04-24 15:04:45] Auto Lines Function has been run for Panthers.
[2020-04-23 16:06:35] Adam McQuaid from Panthers is back from Upper Body Injury.
[2020-04-23 16:06:35] Game 1205 - Adam McQuaid from Panthers is injured (Upper Body) and is out for 1 days.
[2020-04-23 16:06:34] Game 1205 - Jonas Siegenthaler from Panthers is injured (Torn Left MCL) and is out for 2 weeks.
[2020-04-22 17:04:12] Successfully loaded Panthers lines done with STHS Client - 3.2.0.5
[2020-04-21 15:53:12] Patrik Nemeth from Panthers is back from Exhaustion.
[2020-04-20 16:06:35] Greg Pateryn from Panthers is back from Exhaustion.
[2020-04-20 16:05:53] Patrik Nemeth from Panthers is injured from Exhaustion.
[2020-04-20 16:05:53] Greg Pateryn from Panthers is injured from Exhaustion.
[2020-04-20 16:03:40] Auto Lines Function has been run for Panthers.
[2020-04-17 15:33:41] Taylor Hall from Panthers is back from Exhaustion.
[2020-04-17 15:32:52] Panthers are expected to be under the minimum salary cap by 7 171 001 $!
[2020-04-17 15:32:43] Taylor Hall from Panthers is injured from Exhaustion.
[2020-04-16 18:33:21] Successfully loaded Panthers lines done with STHS Client - 3.2.0.5
[2020-04-16 18:33:21] Garnet Hathaway of Panthers was sent down to farm.
[2020-04-15 17:04:45] Adam McQuaid from Panthers is back from Strained Right Knee Injury.
[2020-04-15 16:57:54] Panthers are expected to be under the minimum salary cap by 8 696 001 $!
[2020-04-14 17:33:55] Panthers are expected to be under the minimum salary cap by 8 696 001 $!
[2020-04-14 17:33:51] Patrik Nemeth from Panthers is back from Exhaustion.
[2020-04-14 17:33:51] Chicoutimi Sagueneens 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.
[2020-04-14 17:33:48] Taylor Hall from Panthers is injured from Exhaustion.
[2020-04-14 17:27:12] Auto Lines Function has been run for Panthers.
[2020-04-13 16:26:38] Chicoutimi Sagueneens 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.
[2020-04-13 16:26:37] Patrik Nemeth from Panthers is injured from Exhaustion.
[2020-04-13 16:24:50] Successfully loaded Panthers lines done with STHS Client - 3.2.0.5
[2020-04-13 16:24:50] Aaron Dell of Panthers was sent to farm.
[2020-04-13 16:24:50] Kyle Clifford of Panthers was sent to pro.
[2020-04-13 16:24:50] Josh Jooris of Panthers was sent down to farm.
[2020-04-11 10:12:19] Panthers lines for next game are empty. Current rosters/lines are not erased.
[2020-04-11 10:12:13] Auto Lines Function has been run for Panthers.
[2020-04-11 10:10:13] Auto Lines Function has been run for Panthers.
[2020-04-11 10:10:13] Auto Roster Partial Function has been run for Panthers.
[2020-04-11 10:10:13] Libor Hajek of Panthers was sent to pro.
[2020-04-11 10:10:13] Jonas Siegenthaler of Panthers was sent to pro.
[2020-04-08 17:06:43] Taylor Hall from Panthers is back from Exhaustion.
[2020-04-08 17:06:23] Panthers are expected to be under the minimum salary cap by 9 143 500 $!
[2020-04-08 17:06:15] Taylor Hall from Panthers is injured from Exhaustion.
[2020-04-08 17:06:15] Game 1109 - Adam McQuaid from Panthers is injured (Strained Right Knee) and is out for 1 week.
[2020-04-07 16:29:36] Chicoutimi Sagueneens 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.
[2020-04-06 17:00:37] Successfully loaded Panthers lines done with STHS Client - 3.2.0.5
[2020-04-06 17:00:37] Jonas Siegenthaler of Panthers was sent down to farm.
[2020-04-03 21:48:59] Taylor Hall from Panthers is back from Exhaustion.
[2020-04-03 21:48:59] Patrik Nemeth from Panthers is back from Exhaustion.
[2020-04-03 21:46:58] Panthers are expected to be under the minimum salary cap by 5 404 334 $!
[2020-04-03 21:46:50] Panthers lines for next game are empty. Current rosters/lines are not erased.
[2020-04-03 21:46:48] Taylor Hall from Panthers is injured from Exhaustion.
[2020-04-03 21:46:48] Patrik Nemeth from Panthers is injured from Exhaustion.



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
201982264601621242292-5041122401301111142-3141142200320131150-19652423866281051105834260275693290519282289070815222014120.40%2626674.81%4821178146.10%852188845.13%545124843.67%164792218317691468714
Total Saison Régulière82264601621242292-5041122401301111142-3141142200320131150-19652423866281051105834260275693290519282289070815222014120.40%2626674.81%4821178146.10%852188845.13%545124843.67%164792218317691468714