Lightning

DG: Lukas Pajatsch Morale : 99 Moyenne d'Équipe : 71
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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
1Steven Stamkos (C)XX100.00714482948393959394506065508386089760
2Blake WheelerX100.00705580877994938763585370707577084740
3Pavel DatsyukXXX100.00684393866992789398565161769597077740
4Mikko KoivuX100.00624381828795968999544867768486089740
5Nathan MacKinnonXX100.00644287987589808792525163907676089730
6Shane Doan (A)X100.00755978769087878264475465619899078730
7Jonathan HuberdeauX100.00655280897388888663555064617575089710
8Chris KunitzX100.00855782797985887362484865688891080710
9Mikael GranlundXXX100.00674389847288867988514564506466089680
10Dominic MooreXX100.00644283796577956595424274538184089670
11Pierre-Edouard BellemareXXX100.00685366786774886485414277506060089640
12Mikko Rantanen (R)XXX100.00758064805957676586424564604444072600
13Victor HedmanX100.00714481909793868325524579518082089760
14Francois Beauchemin (A)X100.00734483798796897725484485508694082740
15Morgan RiellyX100.00714385938092987625494478507572089730
16Alexei EmelinX100.00907273767783876925443878507876087690
17Ian ColeX100.00785575747675886525443877508180086670
18Kyle QuinceyX100.00724476747681775925424177637174089650
Rayé
MOYENNE D'ÉQUIPE100.0072518083778687776349477160777908571
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
1Steve Mason100.0081838688807778817778718081089790
2Matt Murray (R)100.0072658083817976757374596864089730
Rayé
MOYENNE D'ÉQUIPE100.007774838681787778757665747308976
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Johnston78838981757270CAN5941,000,000$


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'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Blake WheelerLightningLightningRW125611480282482220.83%520.:.1611200041053.85%13279000.9000
2Steven StamkosLightningLightningC/RW125384201531141216.13%919.:.5700000000053.26%184314010.6700
3Nathan MacKinnonLightningLightningC/RW12437020143181712.90%318.:.3832500003045.26%95252000.6300
4Jonathan HuberdeauLightningLightningLW12347120192392413.04%318.:.3312300000014.29%7195000.6300
5Francois BeaucheminLightningLightningD1215634024205135.00%2525.:.4811200025000.00%0416000.3900
6Pavel DatsyukLightningLightningC/LW/RW9235-2009265137.69%319.:.0901100001040.00%5161000.5800
7Mikael GranlundLightningLightningC/LW/RW121341001716796.25%314.:.1901100030046.94%49271000.4700
8Victor HedmanLightningLightningD12044312024321990.00%1025.:.4902200024000.00%0510000.2600
9Shane DoanLightningLightningRW12314240192012815.00%216.:.2411200000040.00%5163000.4100
10Morgan RiellyLightningLightningD1204420015281070.00%3123.:.2300000020000.00%0220000.2800
11Kyle QuinceyLightningLightningD1202216015171140.00%1819.:.0200000011000.00%0113000.1800
12Mikko RantanenLightningLightningC/LW/RW12101-2206101710.00%104.:.2600000000050.00%1650000.3700
13Mikko KoivuLightningLightningC12101-24016153116.67%418.:.24000000130054.37%1032010000.0900
14Chris KunitzLightningLightningLW12011520341710180.00%016.:.280000000000.00%4135000.1000
15Pierre-Edouard BellemareLightningLightningC/LW/RW12011-340710690.00%310.:.51000000370042.86%767000.1500
16Dominic MooreLightningLightningC/LW12000-120613460.00%412.:.24000000350046.27%67614000.0000
17Alexei EmelinLightningLightningD300022052020.00%517.:.580000002000.00%001000.0000
18Ian ColeLightningLightningD400014071000.00%1216.:.230000004000.00%004000.0000
Stats d'équipe Total ou en Moyenne196264066196002802663361321917.74%141346917.70711183022300021835049.37%555223125010.3800000445
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
1Steve MasonLightningLightning1254393.4%1.977612025380238200.0%0120221
Stats d'équipe Total ou en Moyenne125430.9341.977612025380238200.0000120221


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alexei EmelinLightningD3125.4.1986 15:16:51No217 Lbs6 ft2NoNo3Sans RestrictionPro & Farm4,000,000$4,000,000$4,000,000$Lien
Blake WheelerLightningRW3031.8.1986No225 Lbs6 ft5NoNo4Sans RestrictionPro & Farm4,300,000$6,000,000$6,000,000$6,000,000$Lien
Chris KunitzLightningLW3723.9.1979No195 Lbs6 ft0NoNo1Sans RestrictionPro & Farm4,200,000$Lien
Dominic MooreLightningC/LW363.8.1980No192 Lbs6 ft0NoNo2Sans RestrictionPro Only1,200,000$1,200,000$Lien
Francois BeaucheminLightningD364.6.1980No208 Lbs6 ft1NoNo3Sans RestrictionPro & Farm4,000,000$3,700,000$3,700,000$Lien
Ian ColeLightningD2821.2.1989No219 Lbs6 ft1NoNo2Sans RestrictionPro & Farm1,900,000$1,900,000$Lien
Jonathan HuberdeauLightningLW234.6.1993 15:04:12No188 Lbs6 ft0NoNo3Avec RestrictionPro & Farm4,600,000$4,600,000$4,600,000$Lien
Kyle QuinceyLightningD3112.8.1985No216 Lbs6 ft2NoNo1Sans RestrictionPro & Farm2,200,000$Lien
Matt MurrayLightningG2325.5.1994 15:21:42Yes178 Lbs6 ft4NoNo2Avec RestrictionPro Only1,400,000$1,400,000$Lien
Mikael GranlundLightningC/LW/RW2526.2.1992 14:45:31No185 Lbs5 ft10NoNo2Avec RestrictionPro & Farm2,800,000$2,800,000$Lien
Mikko KoivuLightningC3412.3.1983No215 Lbs6 ft3NoNo3Sans RestrictionPro & Farm5,900,000$5,900,000$5,900,000$Lien
Mikko RantanenLightningC/LW/RW2029.10.1996 2:08:30Yes211 Lbs6 ft4NoNo3Contrat d'EntréePro & Farm1,500,000$1,500,000$1,500,000$Lien
Morgan RiellyLightningD239.3.1994 3:23:57No205 Lbs6 ft1NoNo4Avec RestrictionPro & Farm1,500,000$3,900,000$3,900,000$3,900,000$Lien
Nathan MacKinnonLightningC/RW211.9.1995 15:14:52No195 Lbs6 ft0NoNo3Contrat d'EntréePro & Farm1,700,000$4,500,000$4,500,000$Lien
Pavel DatsyukLightningC/LW/RW3820.7.1978No194 Lbs5 ft11YesNo1Sans RestrictionPro & Farm5,200,000$Lien
Pierre-Edouard BellemareLightningC/LW/RW326.3.1985No198 Lbs6 ft0NoNo2Sans RestrictionPro Only1,200,000$1,200,000$Lien
Shane DoanLightningRW4010.10.1976No223 Lbs6 ft1NoNo1Sans RestrictionPro & Farm4,500,000$Lien
Steve MasonLightningG2829.5.1988No217 Lbs6 ft4NoNo2Sans RestrictionPro & Farm3,800,000$3,800,000$Lien
Steven StamkosLightningC/RW277.2.1990No194 Lbs6 ft1YesNo4Sans RestrictionPro & Farm7,600,000$7,600,000$7,600,000$7,600,000$Lien
Victor HedmanLightningD2618.12.1990 21:39:25No230 Lbs6 ft6YesNo5Avec RestrictionPro & Farm4,900,000$7,000,000$7,000,000$7,000,000$7,000,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2029.45205 Lbs6 ft22.553,420,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pavel DatsyukMikko KoivuSteven Stamkos40023
2Jonathan HuberdeauNathan MacKinnonBlake Wheeler38113
3Chris KunitzMikael GranlundShane Doan21113
4Chris KunitzDominic MoorePierre-Edouard Bellemare1131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor HedmanFrancois Beauchemin43032
2Morgan RiellyIan Cole38032
3Kyle QuinceyAlexei Emelin19041
4Francois BeaucheminVictor Hedman0032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pavel DatsyukSteven StamkosBlake Wheeler60005
2Jonathan HuberdeauMikko KoivuNathan MacKinnon40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman60014
2Shane DoanMorgan Rielly40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dominic MoorePierre-Edouard Bellemare60050
2Mikko KoivuBlake Wheeler40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman60050
2Morgan RiellyIan Cole40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Pierre-Edouard Bellemare60050Francois BeaucheminVictor Hedman60050
2Dominic Moore40050Morgan RiellyIan Cole40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Steven StamkosBlake Wheeler50023
2Jonathan HuberdeauNathan MacKinnon50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman55032
2Morgan RiellyIan Cole45032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pavel DatsyukSteven StamkosBlake WheelerFrancois BeaucheminVictor Hedman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pierre-Edouard BellemareDominic MooreBlake WheelerFrancois BeaucheminVictor Hedman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Stamkos, Blake Wheeler, Nathan MacKinnonNathan MacKinnon, Steven StamkosMikko Koivu
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Hedman, Francois Beauchemin, Morgan RiellyMorgan RiellyKyle Quincey, Victor Hedman
Tirs de Pénalité
Nathan MacKinnon, Blake Wheeler, Steven Stamkos, Mikko Koivu, Jonathan Huberdeau
Gardien
#1 : Steve Mason, #2 : Matt Murray


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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1LightningCapitals51400000612-620.2006915002400137494933616372221211200.00%11463.64%011022449.11%10120549.27%6312749.61%11170120417939
2LightningPanthers743000002013780.57120315100774221972626619217884218416743.75%21480.95%011022449.11%10120549.27%6312749.61%1851231535411155
Vs Division12570000026251100.417264066009114235612111199253801606430528725.00%32875.00%011022449.11%10120549.27%6312749.61%2971932749619095
Vs Conference12570000026251100.417264066009114235612111199253801606430528725.00%32875.00%011022449.11%10120549.27%6312749.61%2971932749619095
Since Last GM Reset12570000026251100.417264066009114235612111199253801606430528725.00%32875.00%011022449.11%10120549.27%6312749.61%2971932749619095
Total12570000026251100.417264066009114235612111199253801606430528725.00%32875.00%011022449.11%10120549.27%6312749.61%2971932749619095

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1210L22640663563801606430500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
125700002625
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001010
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
73400001615
Derniers 10 Matchs
WLOTWOTL SOWSOL
241300
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
28725.00%32875.00%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
121111992591142
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
11022449.11%10120549.27%6312749.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2971932749619095


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
DateMatchup Result Detail
Fri, Nov 22Lightning@LightningLightning8,Panthers1RECAP
Sun, Nov 24Lightning@LightningLightning2,Panthers1 (OT)RECAP
Tue, Nov 26Lightning@LightningPanthers2,Lightning1 (OT)RECAP
Thu, Nov 28Lightning@LightningPanthers2,Lightning4RECAP
Sat, Nov 30Lightning@LightningLightning1,Panthers3RECAP
Mon, Dec 2Lightning@LightningPanthers3,Lightning2 (OT)RECAP
Wed, Dec 4Lightning@LightningLightning2,Panthers1 (OT)RECAP
Fri, Dec 6Lightning@LightningLightning1,Capitals5RECAP
Sun, Dec 8Lightning@LightningLightning1,Capitals2 (OT)RECAP
Tue, Dec 10Lightning@LightningCapitals1,Lightning3RECAP
Thu, Dec 12Lightning@LightningCapitals2,Lightning0RECAP
Sat, Dec 14Lightning@LightningLightning1,Capitals2RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna75923996499519981398
Prix des Billets102603724200
Assistance35555175692254686336636
Attendance PCT93.66%87.93%90.27%86.42%94.94%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 18188 - 91.03% 2,095,436$10,477,178$19979100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
68,400,000$ 12,200,000$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
0$ 0$ 0$ 0$

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 14,183,631$ 14,183,631$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Pavel DatsyukAGE:38PO:0OV:74
Jonathan HuberdeauAGE:23PO:0OV:71
Chris KunitzAGE:37PO:0OV:71
Mikael GranlundAGE:25PO:0OV:68
Dominic MooreAGE:36PO:0OV:67
Pierre-Edouard BellemareAGE:32PO:0OV:64
*Mikko RantanenAGE:20PO:0OV:60
*Phil Di GiuseppeAGE:23PO:0OV:59
Zach SillAGE:28PO:0OV:57
Lucas LessioAGE:24PO:0OV:56
Micheal HaleyAGE:31PO:0OV:54
*Charles HudonAGE:22PO:0OV:54
Bryce Van BrabantAGE:25PO:0OV:51
Steven StamkosAGE:27PO:0OV:76
Pavel DatsyukAGE:38PO:0OV:74
Mikko KoivuAGE:34PO:0OV:74
Nathan MacKinnonAGE:21PO:0OV:73
Mikael GranlundAGE:25PO:0OV:68
Dominic MooreAGE:36PO:0OV:67
Pierre-Edouard BellemareAGE:32PO:0OV:64
*Mikko RantanenAGE:20PO:0OV:60
*Liam O'BrienAGE:22PO:0OV:57
Chris WagnerAGE:25PO:0OV:57
Zach SillAGE:28PO:0OV:57
*Grayson DowningAGE:25PO:0OV:55
*Vincent HinostrozaAGE:23PO:0OV:54
Micheal HaleyAGE:31PO:0OV:54
*Charles HudonAGE:22PO:0OV:54
*Chandler StephensonAGE:23PO:0OV:53
Joey HishonAGE:25PO:0OV:53
*Cameron DarcyAGE:23PO:0OV:49
Steven StamkosAGE:27PO:0OV:76
Blake WheelerAGE:30PO:0OV:74
Pavel DatsyukAGE:38PO:0OV:74
Nathan MacKinnonAGE:21PO:0OV:73
Shane DoanAGE:40PO:0OV:73
Mikael GranlundAGE:25PO:0OV:68
Pierre-Edouard BellemareAGE:32PO:0OV:64
*Mikko RantanenAGE:20PO:0OV:60
*Phil Di GiuseppeAGE:23PO:0OV:59
Chris WagnerAGE:25PO:0OV:57
*Vincent HinostrozaAGE:23PO:0OV:54
Micheal HaleyAGE:31PO:0OV:54
Evan RankinAGE:31PO:0OV:51
*Stefan FournierAGE:25PO:0OV:48

Défense #1Défense #2Gardien
Victor HedmanAGE:26PO:0OV:76
Francois BeaucheminAGE:36PO:0OV:74
Morgan RiellyAGE:23PO:0OV:73
Alexei EmelinAGE:31PO:0OV:69
Ian ColeAGE:28PO:0OV:67
Kyle QuinceyAGE:31PO:0OV:65
*Connor CarrickAGE:23PO:0OV:64
*Derrick PouliotAGE:23PO:0OV:64
Brian StraitAGE:29PO:0OV:63
*Frank CorradoAGE:24PO:0OV:61
Taylor AronsonAGE:25PO:0OV:60
*Morgan EllisAGE:25PO:0OV:55
*Trevor CarrickAGE:22PO:0OV:55
Brenden KichtonAGE:24PO:0OV:54
*Joshua MorrisseyAGE:22PO:0OV:54
Steve MasonAGE:28PO:0OV:79
*Joonas KorpisaloAGE:23PO:0OV:74
*Matt MurrayAGE:23PO:0OV:73
*Jon GilliesAGE:23PO:0OV:65
Parker MilnerAGE:26PO:0OV:63

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 HuskaLightning2016168
Alex HutchingsLightning
Anthony DeLucaLightning2013176
Brady FergusonLightning2016255
Charles McAvoyLightning201618
Chris CalnanLightning2012122
Corey DurocherLightning
Daniel BrickleyLightning2016253
Dillon DubeLightning201646
Dylan MalmquistLightning2016254
Geoffrey SchemitschLightning
Giorgio EstephanLightning2016176
James WisniewskiLightning
Jani HakanpaaLightning
Joe HickettsLightning2014117
Joe MasoniusLightning2016172
John DraegerLightning2012168
Joseph Anderson Lightning201680
Karlis CuksteLightning2015244
Kirill KaprizovLightning2015116
Luca CuntiLightning
Luke MoffattLightning
MacKenzie MacEachernLightning201265
Mark VisentinLightning
Matias SointuLightning
Matthew PhillipsLightning201687
Miro AaltonenLightning2013126
Mitchell StephensLightning201553
Quentin ShoreLightning2013190
Ryan HitchcockLightning2014144
Thatcher DemkoLightning201437
Tyler SoyLightning2016138
Wade AllisonLightning201648

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017TBL TBL EDM TBL
2018TBL TBL TBL TBL TBL TBL
2019TBL TBL TBL TBL TBL TBL TBL
2020TBL TBL TBL TBL TBL TBL TBL
2021TBL TBL TBL TBL TBL TBL TBL



[17.10.2016 21:17:47] - TRADE : From Lightning to Oilers : Jerome Leduc (59), Reid McNeill (52).
[17.10.2016 21:18:12] - Bryce Van Brabant was added to Lightning.
[17.10.2016 21:18:12] - Evan Rankin was added to Lightning.
[17.10.2016 21:18:13] - TRADE : From Hurricanes to Lightning : Bryce Van Brabant (51), Evan Rankin (51).
[20.10.2016 5:29:00] - Daniel Brickley has been added to Lightning.
[20.10.2016 5:29:08] - Dylan Malmquist has been added to Lightning.
[20.10.2016 5:29:18] - Brady Ferguson has been added to Lightning.
[21.10.2016 4:39:40] - Parker Milner was added to Lightning.
[21.10.2016 4:39:40] - Parker Milner signed with Lightning for 400 000 Kč for 1 year(s) with 0 Kč in bonus.
[21.10.2016 4:39:49] - Micheal Haley was added to Lightning.
[21.10.2016 4:39:49] - Micheal Haley signed with Lightning for 500 000 Kč for 2 year(s) with 0 Kč in bonus.
[9.12.2016 20:46:22] - New Record for Team's Most Hits (40) in 1 Game for Lightning!
[4.1.2017 21:22:40] - Pascal Dupuis was added to Lightning.
[4.1.2017 21:22:42] - TRADE : From Lightning to Penguins : Troy Brouwer (71).
[4.1.2017 21:22:42] - TRADE : From Penguins to Lightning : Pascal Dupuis (67), Dillon Dube (P).
[8.1.2017 23:22:16] - Pavel Datsyuk was added to Lightning.
[8.1.2017 23:22:17] - TRADE : From Devils to Lightning : Pavel Datsyuk (74).
[8.1.2017 23:22:17] - TRADE : From Lightning to Devils : Carl Soderberg (70), Y:2017-RND:5-TBL, Y:2018-RND:7-TBL.
[9.1.2017 22:51:54] - Chris Kunitz is no longer as assistant for Lightning.
[9.1.2017 22:51:54] - Pavel Datsyuk has been selected as assistant for Lightning.
[9.1.2017 22:54:46] - Joseph Anderson has been added to Lightning.
[9.1.2017 22:55:00] - Josh Anderson has been deleted from Lightning.
[6.2.2017 21:30:25] - Brian Strait was added to Lightning.
[6.2.2017 21:30:26] - TRADE : From Lightning to Oilers : Taylor Chorney (62), 2 000 000 Kč (Money).
[6.2.2017 21:30:26] - TRADE : From Oilers to Lightning : Brian Strait (63).
[16.2.2017 21:07:07] - Shane Doan was added to Lightning.
[16.2.2017 21:07:09] - TRADE : From Lightning to Coyotes : Y:2017-RND:3-TBL, Y:2017-RND:5-CHI.
[16.2.2017 21:07:09] - TRADE : From Coyotes to Lightning : Shane Doan (73).
[21.2.2017 21:49:39] - TRADE : From Oilers to Lightning : Y:2017-RND:6-EDM.
[21.2.2017 21:49:39] - TRADE : From Lightning to Oilers : Pascal Dupuis (67), 4 500 000 Kč (Money).
[26.2.2017 22:46:57] - Mikko Rantanen was added to Lightning.
[26.2.2017 22:46:58] - TRADE : From Red Wings to Lightning : Mikko Rantanen (60).
[26.2.2017 22:46:58] - TRADE : From Lightning to Red Wings : Anthony Mantha (56).
[3.4.2017 20:33:28] - Pavel Datsyuk is no longer as assistant for Lightning.
[3.4.2017 20:33:28] - Shane Doan has been selected as assistant for Lightning.
[24.4.2017 21:22:37] - Lightning was eliminated at round 2 of year 2016.
[24.5.2017 21:20:19] - Crunch was eliminated at round 4 of year 2016.



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