Panthers

GP: 13 | W: 6 | L: 7 | OTL: 0 | P: 12
GF: 32 | GA: 41 | PP%: 17.24% | PK%: 85.19%
DG: Jacques Belanger | Morale : 99 | Moyenne d'Équipe : 70
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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 HallX100.007343869472819184509690575672728679770
2Travis ZajacX100.007554877778788974917073864781847679730
3J.T. MillerXXX100.008045858875759976898276614567697879730
4Mats Zuccarello (A)XX100.007142868860809781368170689069727779720
5Andrew LaddX100.007544898076729376286870756983877379711
6Tomas Plekanec (C)X100.007153838071699561947158843886916880700
7Martin HanzalX100.008260827487677272926164842576787078690
8Kyle BrodziakXX100.007554877278659259896762832581847179680
9Danton HeinenXXX100.006742928069699275397469642555557379670
10Brian GiontaXX100.007342967360656975417059646386926679660
11Joel WardXX100.006943887381628258596159716378826476650
12Ales HemskyX100.005240998073393968506072724281845425630
13Patrik NemethX100.007555827185797160255247992561626578710
14Dmitry KulikovX100.007644898072727260254845852573746376690
15Jamie OleksiakX100.009199657596707259255551812562626380690
16Adam McQuaidX100.008699577283697555255045752570736080670
17Mark StreitX100.006242878068535672256046613780825328620
Rayé
1Matt MoulsonXX100.006742956974566567255055596176775923590
2Jay Bouwmeester (A)X100.007144868680807558255347852589916468720
3Greg PaterynX100.008660807181797260254845932561626450700
4Nathan BeaulieuX100.007186827774698467255249662565666079650
MOYENNE D'ÉQUIPE100.00745485787669796747636075417476676968
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
1Pekka Rinne100.00949087869990769192946773769079862
2Carter Hutton100.00846161749078818190845759608179760
Rayé
MOYENNE D'ÉQUIPE100.0089767480958479869189626668867981
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates40404040506550CAN521750,000$


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'ÉquipePOS GP 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
1J.T. MillerPanthersC/LW/RW135914-220291743143111.63%126220.16022126000002048.43%159146001.0700000012
2Taylor HallPanthersLW135914-100172048164010.42%1026220.16112726000011031.03%2993001.0700000220
3Mats ZuccarelloPanthersLW/RW13561110016145713238.77%123518.15112222000000121.43%14154000.9300000100
4Travis ZajacPanthersC13459-64020182982013.79%623117.78112221000001151.98%22777000.7800000010
5Andrew LaddPanthersLW13426-240111337153010.81%821916.86000020000211042.86%14103000.5500000011
6Tomas PlekanecPanthersC1323512019221931410.53%522517.380110230001200048.78%20525000.4400000001
7Jay BouwmeesterPanthersD13134-1201118207105.00%1628922.23011124000013000.00%0212000.2800000000
8Jamie OleksiakPanthersD13134-61552118106810.00%1724418.7810121900009000.00%0311000.3300100000
9Mark StreitPanthersD11033-6209118410.00%2519517.7900000000019000.00%025000.3100000000
10Adam McQuaidPanthersD13033-216032228460.00%1325519.6200003000013000.00%0110000.2400000000
11Martin HanzalPanthersC13123-2401114298133.45%313610.4700000000010058.57%7032000.4400000000
12Ales HemskyPanthersRW8202-100091781111.76%2769.500000000000000.00%061000.5300000010
13Dmitry KulikovPanthersD911210036118109.09%2219822.08101217000016100.00%006000.2000000000
14Joel WardPanthersLW/RW13022-400129132100.00%413110.1100000000010025.00%413000.3000000000
15Kyle BrodziakPanthersC/RW13022-5001312115150.00%419915.380110210000230066.67%343000.2000000000
16Danton HeinenPanthersC/LW/RW13112-4001363114163.23%215612.05000010000220022.58%6227000.2600000001
17Patrik NemethPanthersD13022-28013209620.00%1828121.63000127000018000.00%0012000.1400000001
18Brian GiontaPanthersLW/RW13000-40081313190.00%213910.7600000000040060.00%551000.0000000000
19Devante Smith-PellyChicoutimi Sagueneens (FLA)LW/RW5000-100778100.00%15511.000000000001000.00%110000.0000000000
20Jacob de La RoseChicoutimi Sagueneens (FLA)C/LW1000000010000.00%011.280000000000000.00%000000.0000000000
21Matt MoulsonPanthersLW/RW1000000000000.00%000.580000000000000.00%000000.0000000000
22Greg PaterynPanthersD2000-100221000.00%42311.530000000003000.00%002000.0000000000
23Nathan BeaulieuPanthersD4000-300913010.00%96917.460000500000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne236325688-505952762734251432707.53%173388916.4858131824500011936247.16%79387104000.4500100366
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
1Carter HuttonPanthers95220.9113.065490028313159100.000094201
2Pekka RinnePanthers41300.9133.01239001213865010.000049010
Stats d'équipe Total ou en Moyenne136520.9113.047890040451224110.00001313211


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
Adam McQuaidPanthersD311986-10-12No212 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,750,000$2,750,000$196,429$NoLien
Ales HemskyPanthersRW341983-08-12No185 Lbs6 ft0YesNoNo1Sans RestrictionPro Only500,000$500,000$35,714$NoLien
Andrew LaddPanthersLW321985-12-11No200 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm5,500,000$5,500,000$392,857$NoLien
Brian GiontaPanthersLW/RW391979-01-18No178 Lbs5 ft7NoNoNo2Sans RestrictionPro & Farm4,000,000$4,000,000$285,714$NoLien
Carter HuttonPanthersG321985-12-18No195 Lbs6 ft1YesNoNo3Sans RestrictionPro & Farm2,750,000$2,750,000$196,429$NoLien
Danton HeinenPanthersC/LW/RW221995-07-05No185 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm872,500$872,500$62,321$NoLien
Dmitry KulikovPanthersD271990-10-29No204 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm4,330,000$4,330,000$309,286$NoLien
Greg PaterynPanthersD281990-06-19No221 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$178,571$NoLien
J.T. MillerPanthersC/LW/RW251993-03-13No206 Lbs6 ft1NoNoNo5Avec RestrictionPro & Farm5,250,000$5,250,000$375,000$NoLien
Jamie OleksiakPanthersD251992-12-20No255 Lbs6 ft7NoNoNo3Avec RestrictionPro & Farm2,137,500$2,137,500$152,679$NoLien
Jay BouwmeesterPanthersD341983-09-27No221 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm5,400,000$5,400,000$385,714$NoLien
Joel WardPanthersLW/RW371980-12-02No225 Lbs6 ft1YesNoNo1Sans RestrictionPro & Farm500,000$500,000$35,714$NoLien
Kyle BrodziakPanthersC/RW341984-05-25No212 Lbs6 ft2YesNoNo2Sans RestrictionPro & Farm1,150,000$1,150,000$82,143$NoLien
Mark StreitPanthersD401977-12-10No191 Lbs5 ft11YesNoNo1Sans RestrictionPro & Farm2,000,000$2,000,000$142,857$NoLien
Martin HanzalPanthersC311987-02-19No226 Lbs6 ft6NoNoNo2Sans RestrictionPro Only4,750,000$4,750,000$339,286$NoLien
Mats ZuccarelloPanthersLW/RW301987-08-31No179 Lbs5 ft7NoNoNo1Sans RestrictionPro & Farm4,500,000$4,500,000$321,429$NoLien
Matt MoulsonPanthersLW/RW341983-11-01No200 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$357,143$NoLien
Nathan BeaulieuPanthersD251992-12-04No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,400,000$2,400,000$171,429$NoLien
Patrik Nemeth (Sur la Masse Salariale)PanthersD261992-02-07No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,250,000$0$0$YesLien
Pekka RinnePanthersG351982-11-02No217 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm7,000,000$7,000,000$500,000$NoLien
Taylor HallPanthersLW261991-11-13No201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm6,000,000$6,000,000$428,571$NoLien
Tomas PlekanecPanthersC351982-10-30No196 Lbs5 ft11YesNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$178,571$NoLien
Travis ZajacPanthersC331985-05-13No185 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,750,000$5,750,000$410,714$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2331.09205 Lbs6 ft21.913,469,130$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
79,790,000$49,117,500$28,887,500$5,250,000$5,250,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor HallJ.T. MillerMats Zuccarello42041
2Andrew LaddTravis ZajacKyle Brodziak33041
3Danton HeinenTomas PlekanecBrian Gionta18140
4Joel WardMartin HanzalAles Hemsky7140
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam McQuaid35041
2Patrik NemethDmitry Kulikov30140
3Jamie OleksiakMark Streit27140
4Jamie Oleksiak8050
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor HallTomas PlekanecJ.T. Miller55005
2Mats ZuccarelloTravis ZajacKyle Brodziak45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitry KulikovPatrik Nemeth50014
2Jamie Oleksiak50023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Danton HeinenKyle Brodziak50050
2Tomas PlekanecAndrew Ladd50050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark Streit55140
2Adam McQuaidPatrik Nemeth45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Taylor Hall60050Jamie Oleksiak60050
2J.T. Miller40050Dmitry KulikovPatrik Nemeth40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1J.T. MillerTaylor Hall60041
2Tomas PlekanecMats Zuccarello40041
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam McQuaid60050
2Mark StreitPatrik Nemeth40050
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
J.T. MillerTravis ZajacMats ZuccarelloPatrik Nemeth
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor HallTomas PlekanecBrian GiontaDmitry KulikovPatrik Nemeth
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tomas Plekanec, Danton Heinen, Brian GiontaTomas Plekanec, Danton HeinenBrian Gionta
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam McQuaid, Mark Streit, Patrik NemethAdam McQuaidJamie Oleksiak, Patrik Nemeth
Tirs de Pénalité
Taylor Hall, J.T. Miller, Mats Zuccarello, Danton Heinen, Andrew Ladd
Gardien
#1 : Pekka Rinne, #2 : Carter Hutton
Lignes d'Attaque Perso. en Prol.
Taylor Hall, J.T. Miller, Mats Zuccarello, Travis Zajac, Andrew Ladd, Danton Heinen, Danton Heinen, Tomas Plekanec, Martin Hanzal, Brian Gionta,
Lignes de Défense Perso. en Prol.
Patrik Nemeth, , Dmitry Kulikov, Jamie Oleksiak, Adam McQuaid


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
1Flames743000001919043100000137631200000612-680.57119325100855122668857122461033416216425.00%17288.24%013328546.67%15132246.89%9018648.39%147831566512561
2Lightning624000001322-931200000916-73120000046-240.333132437104261199557568120670251141317.69%10280.00%013328546.67%15132246.89%9018648.39%128751275310454
Total1367000003241-9743000002223-1624000001018-8120.4623256881012711242512316013934521735927629517.24%27485.19%013328546.67%15132246.89%9018648.39%275158283119230115
_Since Last GM Reset1367000003241-9743000002223-1624000001018-8120.4623256881012711242512316013934521735927629517.24%27485.19%013328546.67%15132246.89%9018648.39%275158283119230115
_Vs Conference1367000003241-9743000002223-1624000001018-8120.4623256881012711242512316013934521735927629517.24%27485.19%013328546.67%15132246.89%9018648.39%275158283119230115
_Vs Division1367000003241-9743000002223-1624000001018-8120.4623256881012711242512316013934521735927629517.24%27485.19%013328546.67%15132246.89%9018648.39%275158283119230115

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1312L33256884254521735927610
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
136700003241
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002223
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
62400001018
Derniers 10 Matchs
WLOTWOTL SOWSOL
342100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29517.24%27485.19%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
1231601393127112
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
13328546.67%15132246.89%9018648.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
275158283119230115


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 - 2018-10-058Flames1Panthers3WSommaire du Match
2 - 2018-10-0616Flames4Panthers3LXSommaire du Match
3 - 2018-10-0724Panthers2Flames7LSommaire du Match
4 - 2018-10-0832Panthers1Flames3LSommaire du Match
5 - 2018-10-0940Flames1Panthers3WSommaire du Match
6 - 2018-10-1048Panthers3Flames2WXSommaire du Match
7 - 2018-10-1156Flames1Panthers4WSommaire du Match
8 - 2018-10-1260Panthers3Lightning2WSommaire du Match
9 - 2018-10-1364Panthers1Lightning2LXSommaire du Match
10 - 2018-10-1468Lightning3Panthers4WXSommaire du Match
11 - 2018-10-1572Lightning7Panthers2LSommaire du Match
12 - 2018-10-1676Panthers0Lightning2LSommaire du Match
13 - 2018-10-1780Lightning6Panthers3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance40,17535,00014,00028,0006,610
Attendance PCT95.65%100.00%100.00%100.00%94.43%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
34 17684 - 98.24% 1,807,051$12,649,355$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 79,790,000$ 43,640,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 22 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 44,775,855$ 44,775,855$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Taylor HallAGE:26PO:86OV:77
J.T. MillerAGE:25PO:78OV:73
Mats ZuccarelloAGE:30PO:77OV:72
Andrew LaddAGE:32PO:73OV:71
Danton HeinenAGE:22PO:73OV:67
Brian GiontaAGE:39PO:66OV:66
Devante Smith-PellyAGE:26PO:66OV:65
Joel WardAGE:37PO:64OV:65
Gabriel BourqueAGE:27PO:67OV:64
Jacob de La RoseAGE:23PO:65OV:64
Scott WilsonAGE:26PO:67OV:63
Josh JoorisAGE:27PO:64OV:61
Miikka SalomakiAGE:25PO:63OV:61
*Spencer FooAGE:24PO:65OV:60
Iiro PakarinenAGE:26PO:62OV:60
Laurent DauphinAGE:23PO:62OV:60
Roope HintzAGE:21PO:63OV:59
Matt MoulsonAGE:34PO:59OV:59
*Samuel LabergeAGE:21PO:62OV:58
Corey TroppAGE:28PO:62OV:58
Jean DupuyAGE:23PO:57OV:54
Braden ChristofferAGE:23PO:52OV:53
J.T. MillerAGE:25PO:78OV:73
Travis ZajacAGE:33PO:76OV:73
Tomas PlekanecAGE:35PO:68OV:70
Martin HanzalAGE:31PO:70OV:69
Kyle BrodziakAGE:34PO:71OV:68
Danton HeinenAGE:22PO:73OV:67
Jacob de La RoseAGE:23PO:65OV:64
Scott WilsonAGE:26PO:67OV:63
Josh JoorisAGE:27PO:64OV:61
Miikka SalomakiAGE:25PO:63OV:61
Rocco GrimaldiAGE:25PO:63OV:60
Laurent DauphinAGE:23PO:62OV:60
*Mike VecchioneAGE:25PO:64OV:59
Aleksi SaarelaAGE:21PO:64OV:58
*Clark BishopAGE:22PO:57OV:56
Jean DupuyAGE:23PO:57OV:54
Braden ChristofferAGE:23PO:52OV:53
J.T. MillerAGE:25PO:78OV:73
Mats ZuccarelloAGE:30PO:77OV:72
Kyle BrodziakAGE:34PO:71OV:68
Danton HeinenAGE:22PO:73OV:67
Brian GiontaAGE:39PO:66OV:66
Devante Smith-PellyAGE:26PO:66OV:65
Joel WardAGE:37PO:64OV:65
Gabriel BourqueAGE:27PO:67OV:64
Scott WilsonAGE:26PO:67OV:63
Ales HemskyAGE:34PO:54OV:63
Josh JoorisAGE:27PO:64OV:61
Miikka SalomakiAGE:25PO:63OV:61
*Spencer FooAGE:24PO:65OV:60
Rocco GrimaldiAGE:25PO:63OV:60
Iiro PakarinenAGE:26PO:62OV:60
*Mike VecchioneAGE:25PO:64OV:59
Matt MoulsonAGE:34PO:59OV:59
Corey TroppAGE:28PO:62OV:58
Jean DupuyAGE:23PO:57OV:54

Défense #1Défense #2Gardien
Jay BouwmeesterAGE:34PO:64OV:72
Patrik NemethAGE:26PO:65OV:71
Greg PaterynAGE:28PO:64OV:70
Dmitry KulikovAGE:27PO:63OV:69
Jamie OleksiakAGE:25PO:63OV:69
Adam McQuaidAGE:31PO:60OV:67
Nathan BeaulieuAGE:25PO:60OV:65
Mark StreitAGE:40PO:53OV:62
Chris SummersAGE:30PO:53OV:60
Alex LintuniemiAGE:22PO:55OV:58
*Jakub ZborilAGE:21PO:53OV:58
*Jonas SiegenthalerAGE:21PO:52OV:58
Ludwig BystromAGE:23PO:54OV:56
*Jeff TaylorAGE:24PO:49OV:52
Zach FryeAGE:24PO:47OV:51
Pekka RinneAGE:35PO:90OV:86
Carter HuttonAGE:32PO:81OV:76
Ville HussoAGE:23PO:66OV:65
Marcus HogbergAGE:23PO:52OV:55

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
BOKONDJI IMAMAPanthers2015198
Ben StormPanthers2013154
Cale FleuryPanthers201785
Casey StaumPanthers2016158
Christopher ClappertonPanthers2013124
Christopher PaquettePanthers2016163
Dylan GambrellPanthers201675
Dylan SikuraPanthers2014186
Gabriel FortierPanthers201858
Hugh McGingPanthers2018148
Jonathan AngPanthers2016105
Jonathan GrudenPanthers201892
Josh NorrisPanthers201725
MATT SCHMALZPanthers2015138
Matthew BerkovitzPanthers2014156
Maxim LetunovPanthers201466
NIKITA PAVLYCHEVPanthers2015168
Nathan SmithPanthers201886
Nolan StevensPanthers2016165
Pascal LabergePanthers201632
Pavel ShenPanthers2018208
Saku SalminenPanthers2013184

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2019FLA FLA FLA FLA
2020FLA FLA FLA FLA FLA FLA FLA FLA
2021FLA FLA FLA FLA FLA FLA FLA FLA
2022FLA FLA FLA FLA FLA FLA FLA FLA
2023FLA FLA FLA FLA FLA FLA FLA FLA



[2019-05-06 16:49:06] - Panthers was eliminated at round 2 of year 2018.
[2019-04-29 18:35:45] - Chicoutimi Sagueneens was eliminated at round 1 of year 2018.
[2019-02-27 06:14:52] - TRADE : From Panthers to Stars : KAREL VEJMELKA (P), Y:2019-RND:3-FLA.
[2019-02-27 06:14:52] - TRADE : From Stars to Panthers : Greg Pateryn (70), Nathan Smith (P).
[2019-02-16 15:27:31] - Nick Schultz has been deleted from Panthers.
[2019-02-16 15:27:12] - Matt White has been deleted from Panthers.
[2019-02-16 14:48:08] - Patrick Watling has been deleted from Panthers.
[2019-01-14 20:24:01] - TRADE : From Panthers to Devils : Alec Martinez (74), Y:2019-RND:2-FLA, Y:2019-RND:8-FLA.
[2019-01-14 20:24:01] - TRADE : From Devils to Panthers : Danton Heinen (67), Dmitry Kulikov (69), Spencer Foo (60).
[2018-12-14 15:08:03] - New Record for Team's Most Penalties Minutes (33) in 1 Game for Panthers!
[2018-10-30 20:28:15] - Gabriel Bourque has been selected as assistant for Chicoutimi Sagueneens.
[2018-10-30 20:28:14] - Unknown Player is no longer as assistant for Chicoutimi Sagueneens.



[2019-05-14 14:39:10] Jay Bouwmeester from Panthers is back from Torn Right Knee Ligaments Injury.
[2019-05-06 16:49:06] Greg Pateryn from Panthers is back from Broken Ribs Injury.
[2019-05-06 16:49:05] Game 80 - Jay Bouwmeester from Panthers is injured (Torn Right Knee Ligaments) and is out for 1 month.
[2019-05-06 16:49:00] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-05-06 08:40:38] Ales Hemsky from Panthers is back from Right Leg Injury.
[2019-05-06 08:40:38] Game 76 - Ales Hemsky from Panthers is injured (Right Leg) and is out for 5 days.
[2019-05-06 08:40:24] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-05-04 17:09:37] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-05-03 16:05:47] Dmitry Kulikov from Panthers is back from Bruised Right Arm Injury.
[2019-05-03 16:05:36] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-05-02 16:58:23] Panthers lines for next game are empty. Current rosters/lines are not erased.
[2019-05-02 16:57:55] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-05-02 16:57:55] Nathan Beaulieu of Panthers was sent to pro.
[2019-05-02 16:57:55] Devante Smith-Pelly of Panthers was sent down to farm.
[2019-05-01 16:16:28] Devante Smith-Pelly from Panthers is back from Sports Hernia Injury.
[2019-05-01 16:16:28] Nathan Beaulieu of Panthers was sent to farm.
[2019-05-01 16:16:28] Jacob de La Rose of Panthers was sent to farm.
[2019-05-01 16:16:18] Auto Lines Function has been run for Panthers.
[2019-05-01 16:16:18] Auto Roster Partial Function has been run for Panthers.
[2019-05-01 16:16:18] Jacob de La Rose of Panthers was sent to pro.
[2019-05-01 16:16:18] Nathan Beaulieu of Panthers was sent to pro.
[2019-04-29 18:35:45] Game 56 - Dmitry Kulikov from Panthers is injured (Bruised Right Arm) and is out for 2 weeks.
[2019-04-29 18:34:27] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-26 16:08:09] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-25 17:22:24] Game 40 - Devante Smith-Pelly from Panthers is injured (Sports Hernia) and is out for 2 weeks.
[2019-04-25 17:00:53] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-24 16:12:03] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-23 15:12:20] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-22 16:48:41] Jamie Oleksiak from Panthers is back from Lower Body Injury.
[2019-04-22 16:48:40] Game 16 - Jamie Oleksiak from Panthers is injured (Lower Body) and is out for 5 days.
[2019-04-22 16:48:40] Game 16 - Greg Pateryn from Panthers is injured (Broken Ribs) and is out for 2 months.
[2019-04-22 16:47:02] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-19 14:53:18] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-17 17:31:44] Joel Ward from Panthers is back from Lower Body Injury.
[2019-04-17 17:31:44] Game 1227 - Joel Ward from Panthers is injured (Lower Body) and is out for 4 days.
[2019-04-17 17:31:39] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-16 15:18:59] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-12 14:20:26] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-11 20:15:30] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-10 09:16:03] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-09 16:12:58] Chicoutimi Sagueneens lines for next game are empty. Current rosters/lines are not erased.
[2019-04-09 16:01:21] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-08 18:31:34] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6
[2019-04-05 14:17:24] Successfully loaded Panthers lines done with STHS Client - 3.1.6.6



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
20181367000003241-9743000002223-1624000001018-8123256881012711242512316013934521735927629517.24%27485.19%013328546.67%15132246.89%9018648.39%275158283119230115
Total Séries1367000003241-9743000002223-1624000001018-8123256881012711242512316013934521735927629517.24%27485.19%013328546.67%15132246.89%9018648.39%275158283119230115