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Lightning
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Guillaume Cazes | Morale : 50 | Moyenne d’équipe : 71
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGuillaume Cazes
EntraîneurTodd McLellan
DivisionDivision Atlantique
ConférenceConference Est
CapitaineElias Pettersson
Assistant #1Clayton Keller
Assistant #2Kris Letang


Informations de l’aréna

NomSt. Pete Times Forum
Capacité20,000
Assistance
Billets de saison8,000


Informations de la formation

Équipe Pro18
Équipe Mineure22
Limite contact 40 / 55
Espoirs22


Plafond salarial Non Activé

Cap Salarial de la Saison estimé0$
Plafond salarial disponible78,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial15


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel7,899,912$
Compte bancaire projeté7,899,912$


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique36-39-9 (0.429%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Elias Pettersson (C)XX100.0074468581749590916889888190819569507902518,000,000$
2Ryan GetzlafX100.0058389763719590909096918886999920507903919,000,000$
3Clayton Keller (A)XX100.00664588757190938580828071778090695075N02546,000,000$
4Conor GarlandXX100.0064438778698489746577747278756461507002814,000,000$
5Mikhail GrigorenkoX100.0057419769758190668470707669885655506703012,000,000$
6Frederick GaudreauXX100.0056419672696879777474688055625650506603111,500,000$
7Antoine MorandX100.006244947268727268717067696048466050630252750,000$
8Kris Letang (A)X100.0072578571729388864587797665999928507603718,500,000$
9Brett PesceX100.0060429669759090834576728159875954507202935,500,000$
10Alexander EdlerX100.00724586697479837245726778639685225071N0381900,000$
Rayé
1Vincent TrocheckX100.0082477372689690788384798182878452507503027,000,000$
2Jesper BrattXX100.0067459176708992806883757375776866507202546,000,000$
3Kasperi KapanenXX100.0067529077748591776876747176856860507102700$
4Luke KuninXX100.0078518378727488736871727466815264506802600$
5Samuel GirardX100.0063469175698789774580717661766466507102624,500,000$
6Simon BenoitX100.0079558776747883744569677462614866536802511,700,000$
Équipe Mineure
1Stefan NoesenXX100.0060419069747080726767736968705746506503111,200,000$
2Mackenzie EntwistleXX100.007145887371738672606869746165486850650242900,000$
3Alexander KhokhlachevX100.0064468069697175727175717170635749506503011,200,000$
4Par LindholmXX100.0061479471687678716870707370645147506503211,300,000$
5James SheppardXX100.0069558668726769676563647062716130506303621,000,000$
6Corey TrivinoX100.0060439772716470666562636662464538506003421,000,000$
7Dominik UherXX100.006546756873646861706162656057524450590311700,000$
8Jonathan MatsumotoX100.0060458967686765656564626562494525505903721,000,000$
9Trevor CarrickX100.0077656773717576734573737060605351506502911,300,000$
10Klas DahlbeckX100.0062439368747181694568666963665047506403211,250,000$
11Tommy MillerX100.006644867269697067456764735649476050630252750,000$
12Laurent DauphinXX100.0077487275707578726968697560655255506602911,500,000$
13Tomas HykaXX100.0057439573696665676361646960494550506103121,000,000$
14Adam MascherinXX100.006245827269666963636265616049456050600251750,000$
15Graham BlackX100.005639877171625564675856686255544350590311700,000$
16Kasper KotkansaloX100.006644867271717266456666725650476050630252750,000$
17Thomas SchemitschX100.006445897073677063456663685452465750620273900,000$
18Nick WolffX100.007663707275686662456360655546455750610273800,000$
19Luke GreenX100.006748907068676757456260675746455850600261750,000$
20Jeremy RoyX100.006548887068686058456461655746455850600273700,000$
MOYENNE D’ÉQUIPE100.00664787727176787261716972656759525066
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Samuel Montembeault100.00839289808490838890858672634950710271900,000$
Rayé
1Calvin Petersen100.008081797781808282828492626556506702900$
Équipe Mineure
1Dustin Tokarski100.007881797679778481828480636238506603421,500,000$
2Linden Rowat100.00746968757576817978797246523850620341900,000$
MOYENNE D’ÉQUIPE100.0079817977808183838383836161455067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan95919470999954CAN584500,000$


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
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


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexander EdlerLightningD381986-04-21No210 Lbs6 ft4YesNoN/ANoNo1Pro Only900,000$900,000$900,000$No------------------Lien
Antoine MorandLightningC251999-02-18No184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$750,000$750,000$No750,000$--------No--------Lien
Brett PesceLightningD291994-11-15No200 Lbs6 ft3NoNoN/ANoNo3Pro & Farm5,500,000$5,500,000$5,500,000$No5,500,000$5,500,000$-------NoNo-------Lien
Calvin PetersenLightningG291994-10-19No185 Lbs6 ft2NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Clayton KellerLightningLW/RW251998-07-29No170 Lbs5 ft10YesNoN/ANoNo4Pro & Farm6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$------YesYesYes------Lien
Conor GarlandLightningLW/RW281996-03-11No165 Lbs5 ft10NoNoN/ANoNo1Pro & Farm4,000,000$4,000,000$4,000,000$No------------------Lien
Elias PetterssonLightningLW/RW251998-11-12No176 Lbs6 ft2NoNoN/ANoNo1Pro & Farm8,000,000$8,000,000$8,000,000$No------------------Lien
Frederick GaudreauLightningLW/RW311993-05-01No179 Lbs6 ft0NoNoTrade2024-01-19NoNo1Pro & Farm1,500,000$1,500,000$1,500,000$No------------------Lien
Jesper BrattLightningLW/RW251998-07-30No175 Lbs5 ft10NoNoN/ANoNo42024-04-29Pro & Farm6,000,000$6,000,000$6,000,000$No6,000,000$6,000,000$6,000,000$------NoNoNo------Lien
Kasperi KapanenLightningLW/RW271996-07-23No192 Lbs6 ft1NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Kris LetangLightningD371987-04-24No201 Lbs6 ft0NoNoN/ANoNo1Pro Only8,500,000$8,500,000$8,500,000$No------------------Lien
Luke KuninLightningLW/RW261997-12-04No195 Lbs6 ft0NoNoTrade2024-01-27NoNo0Pro & Farm0$0$No------------------Lien
Mikhail GrigorenkoLightningC301994-05-16No209 Lbs6 ft3NoNoTrade2024-01-19NoNo1Pro & Farm2,000,000$2,000,000$2,000,000$No------------------Lien
Ryan GetzlafLightningC391985-05-10No205 Lbs6 ft3NoNoN/ANoNo12023-12-30Pro Only9,000,000$9,000,000$9,000,000$No------------------Lien
Samuel GirardLightningD261998-05-12No170 Lbs5 ft10NoNoN/ANoNo22024-04-29Pro & Farm4,500,000$4,500,000$4,500,000$No4,500,000$--------No--------Lien
Samuel MontembeaultLightningG271996-10-30No199 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$900,000$900,000$No------------------Lien
Simon BenoitLightningD251998-09-19No181 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$1,700,000$No------------------Lien
Vincent TrocheckLightningC301993-07-11No182 Lbs5 ft10NoNoN/ANoNo2Pro & Farm7,000,000$7,000,000$7,000,000$No7,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1829.00188 Lbs6 ft11.443,680,556$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
66,250,000$29,750,000$17,500,000$12,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias PetterssonRyan GetzlafClayton Keller27023
227023
3Conor GarlandMikhail Grigorenko25023
4Frederick GaudreauAntoine Morand21032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris Letang35023
2Brett PesceAlexander Edler33023
332032
4Kris Letang0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan GetzlafClayton Keller60014
240014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris Letang60023
2Brett PesceAlexander Edler40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Getzlaf50032
250032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris Letang50032
2Brett PesceAlexander Edler50032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Getzlaf54041Kris Letang54050
246041Brett PesceAlexander Edler46050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Getzlaf54023
246023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris Letang54122
2Brett PesceAlexander Edler46122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan GetzlafKris Letang
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan GetzlafKris Letang
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Clayton Keller, , Clayton Keller, Clayton Keller
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Edler, , Alexander EdlerAlexander Edler,
Tirs de pénalité
Ryan Getzlaf, , , , Clayton Keller
Gardien
#1 : , #2 : Samuel Montembeault


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80005000200040001000
Prix des billets88583523177
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 66,250,000$ 66,250,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 15 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 7,899,912$ 7,899,912$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 78,000,000$ 78,000,000$ 0$



Charte de profondeur

Ailier gaucheCentreAilier droit
Elias PetterssonAGE:25PO:69OV:79
Clayton KellerAGE:25PO:69OV:75
Jesper BrattAGE:25PO:66OV:72
Kasperi KapanenAGE:27PO:60OV:71
Conor GarlandAGE:28PO:61OV:70
Luke KuninAGE:26PO:64OV:68
Laurent DauphinAGE:29PO:55OV:66
Frederick GaudreauAGE:31PO:50OV:66
Mackenzie EntwistleAGE:24PO:68OV:65
Par LindholmAGE:32PO:47OV:65
Stefan NoesenAGE:31PO:46OV:65
James SheppardAGE:36PO:30OV:63
Tomas HykaAGE:31PO:50OV:61
Adam MascherinAGE:25PO:60OV:60
Dominik UherAGE:31PO:44OV:59
Ryan GetzlafAGE:39PO:20OV:79
Vincent TrocheckAGE:30PO:52OV:75
Mikhail GrigorenkoAGE:30PO:55OV:67
Alexander KhokhlachevAGE:30PO:49OV:65
Antoine MorandAGE:25PO:60OV:63
Corey TrivinoAGE:34PO:38OV:60
Graham BlackAGE:31PO:43OV:59
Jonathan MatsumotoAGE:37PO:25OV:59
Elias PetterssonAGE:25PO:69OV:79
Clayton KellerAGE:25PO:69OV:75
Jesper BrattAGE:25PO:66OV:72
Kasperi KapanenAGE:27PO:60OV:71
Conor GarlandAGE:28PO:61OV:70
Luke KuninAGE:26PO:64OV:68
Laurent DauphinAGE:29PO:55OV:66
Frederick GaudreauAGE:31PO:50OV:66
Mackenzie EntwistleAGE:24PO:68OV:65
Par LindholmAGE:32PO:47OV:65
Stefan NoesenAGE:31PO:46OV:65
James SheppardAGE:36PO:30OV:63
Tomas HykaAGE:31PO:50OV:61
Adam MascherinAGE:25PO:60OV:60
Dominik UherAGE:31PO:44OV:59

Défense #1Défense #2Gardien
Kris LetangAGE:37PO:28OV:76
Brett PesceAGE:29PO:54OV:72
Samuel GirardAGE:26PO:66OV:71
Alexander EdlerAGE:38PO:22OV:71
Simon BenoitAGE:25PO:66OV:68
Trevor CarrickAGE:29PO:51OV:65
Klas DahlbeckAGE:32PO:47OV:64
Kasper KotkansaloAGE:25PO:60OV:63
Tommy MillerAGE:25PO:60OV:63
Thomas SchemitschAGE:27PO:57OV:62
Nick WolffAGE:27PO:57OV:61
Luke GreenAGE:26PO:58OV:60
Jeremy RoyAGE:27PO:58OV:60
Samuel MontembeaultAGE:27PO:49OV:71
Calvin PetersenAGE:29PO:56OV:67
Dustin TokarskiAGE:34PO:38OV:66
Linden RowatAGE:34PO:38OV:62

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alex BumpLightning141500Lien
Alfons FreijLightning1641
Anton JohannessonLightning11103
Cameron WhynotLightning1380
Carson LambosLightning1316
Cruz LuciusLightning14860Lien
David GucciardiLightning13144
Dmitry OvchinnikovLightning11119
Dyaln JamesLightning14690Lien
Fraser MintenLightning1454
Harrison BlaisdellLightning1094
Jean-luc FoudyLightning1155
Jett WooLightning941
Kevin KorchinskiLightning1422
Luke MisaLightning1647
Otto StenbergLightning15270Lien
Owen BecknerLightning151510Lien
Robert MastrosimoneLightning1062
Sean BehrensLightning1348
Sean FarrellLightning1187
Tanner HoweLightning1650
William WhitelawLightning15550Lien

Choix au repêchage

Année R1R2R3R4R5
16
17
18
19
20
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Lightning Historique de transactions

[2024-05-18 13:33:07] - Lightning drafts Tanner Howe as the #50 overall pick in the Entry Draft of year 16.
[2024-05-18 13:19:17] - Lightning drafts Luke Misa as the #47 overall pick in the Entry Draft of year 16.
[2024-05-18 13:14:34] - Lightning drafts Alfons Freij as the #41 overall pick in the Entry Draft of year 16.
[2024-05-03 13:52:39] - Tyler Myers was released.
[2024-05-03 13:52:39] - Lightning paid $7,500,000 to release Tyler Myers.
[2024-03-25 12:26:51] - Andrey Makarov was released.
[2024-03-25 12:26:51] - Victor Antipin was released.
[2024-03-25 12:26:51] - Kevin Hayes was released.
[2024-03-25 12:26:51] - Mikkel Boedker was released.
[2024-03-25 12:26:51] - Tomas Jurco was released.
[2024-03-25 12:26:51] - Joey Hishon was released.
[2024-03-25 12:26:51] - Marcus Kruger was released.
[2024-03-25 12:26:51] - Brandon Gormley was released.
[2024-03-09 17:32:00] - Crunch was eliminated at round 2 of year 15.
[2024-02-24 10:58:04] - Lightning didn't make playoff for year 15.
[2024-02-06 15:11:24] - Corey Trivino signed with Lightning for $1,000,000 for 3 year(s).
[2024-02-06 15:11:24] - Corey Trivino was added to Lightning.
[2024-01-31 15:57:37] - Tomas Hyka signed with Lightning for $1,000,000 for 3 year(s).
[2024-01-31 15:57:37] - Tomas Hyka was added to Lightning.
[2024-01-28 13:44:46] - TRADE : From Jets to Lightning : Y:16-RND:3-SJ .
[2024-01-28 13:44:46] - TRADE : From Lightning to Jets : Dylan Gambrell (68).
[2024-01-27 22:03:04] - TRADE : From Lightning to BlueJacket : Josh Bailey (70).
[2024-01-27 22:03:04] - TRADE : From BlueJacket to Lightning : Luke Kunin (68).
[2024-01-19 23:01:58] - TRADE : From Lightning to BlueJacket : Chandler Stephenson (71), Luke Kunin (68).
[2024-01-19 23:01:58] - TRADE : From BlueJacket to Lightning : Mikhail Grigorenko (67), Frederick Gaudreau (66), Y:17-RND:2-Clb.



[2024-05-18 13:33:07] Lightning drafts Tanner Howe as the #50 overall pick in the Entry Draft of year 16.
[2024-05-18 13:19:17] Lightning drafts Luke Misa as the #47 overall pick in the Entry Draft of year 16.
[2024-05-18 13:14:34] Lightning drafts Alfons Freij as the #41 overall pick in the Entry Draft of year 16.



Pas de blessure ou de suspension.


Lightning Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Ryan Getzlaf81333871983118222414.73%24161419.93916255510155457.50%00.8828
2Elias Pettersson78312859455937822213.96%8124215.9378154500007249.31%10.9524
3Jesper Bratt8215334872889611748.62%12163319.92591447011113150.00%00.5916
4Brett Pesce729364582235531217.44%96148820.6831013630002010%00.6000
5Kris Letang8163642-82230881145.26%97189723.4331013650222100%00.4400

Lightning Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Samuel Montembeault56242530.9042.9431016315215890310.61921
2Calvin Petersen35121440.9002.93186480919060010.70010

Lightning Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
1582283904245234250-1641131803034109111-241152101211125139-14792344196532389686913228481169775847249771269112623114715.11%3087376.30%31482286851.67%1469287151.17%653125751.95%2018140119216031036521
Total Saison régulière82283904245234250-1641131803034109111-241152101211125139-14792344196532389686913228481169775847249771269112623114715.11%3087376.30%31482286851.67%1469287151.17%653125751.95%2018140119216031036521
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Lightning Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Lightning Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA