Lightning

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 7 | GA: 7 | PP%: 0.00% | PK%: 57.14%
DG: Lukas Pajatsch | Morale : 99 | Moyenne d'Équipe : 71
Prochain matchs vs Flyers
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Blake WheelerX100.00663691869294999257585369649099082760
2Mikko Koivu (A)X100.00583093808792978990554973729599082740
3Mikael GranlundXXX100.00613097818289978768555271607676082720
4Jason SpezzaXXX100.00563494818685898682555062639899072720
5Nathan MacKinnonXX100.00613096798391968585544870747580082710
6Steven Stamkos (C)XXX100.00653090798189678275535663648599078710
7Zack SmithXX100.00744288728085927881444980598181076700
8Dominic MooreXX100.00623093687576987684434473589595082680
9Jonathan HuberdeauXX100.00593693798187678552535160737575082680
10Mikko Rantanen (R)XX100.00583096758590928867455060605858082660
11Rene BourqueXX100.00683488677976807735424562589191082650
12Pierre-Edouard Bellemare (R)XXX100.00634296647476987381394179577075082650
13Victor HedmanX100.00733691929591959534554779628484076790
14Francois Beauchemin (A)X100.00713093778090977834454182599599082730
15Morgan RiellyX100.00693496808489968233484379597580082730
16Jeff PetryX100.00813095778289928237464379598080072730
17Ian ColeX100.00803988758286958234464081587777082720
18Josh Morrissey (R)X100.00793091707686867532434175575858082670
Rayé
1Chris Wagner (R)XX100.00773695627270647270384367575959064600
MOYENNE D'ÉQUIPE100.0067349376828689826048477262808207970
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
1Matt Murray (R)100.0078968487807980798078797171082800
2Steve Mason100.0074969589717374747273908585082790
Rayé
MOYENNE D'ÉQUIPE100.007696908876767777767685787808280
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters84808289747368CAN5151,000,000$


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 WheelerLightningLightningRW543732041841122.22%019.:.3900000001055.56%9162001.4200
2Mikko KoivuLightningLightningC52353206114618.18%221.:.0000000060156.82%8863000.9500
3Victor HedmanLightningLightningD51341001215476.67%625.:.260000005000.00%039000.6300
4Steven StamkosLightningLightningC/LW/RW5123200792511.11%019.:.0700000000040.00%531000.6300
5Mikael GranlundLightningLightningC/LW/RW5202-1009122616.67%218.:.2600000010025.00%834000.4300
6Ian ColeLightningLightningD5022-14084350.00%216.:.120000004000.00%016000.4900
7Nathan MacKinnonLightningLightningC/RW5011000314340.00%017.:.2600000000040.00%10123000.2300
8Francois BeaucheminLightningLightningD501112087130.00%1322.:.560000005000.00%0012000.1700
9Mikko RantanenLightningLightningLW/RW5101000374514.29%013.:.100000000000.00%420000.3000
10Jason SpezzaLightningLightningC/LW/RW5011-120915290.00%018.:.1900000000048.44%6491000.2200
11Dominic MooreLightningLightningC/LW5000-10017630.00%309.:.5300000020047.37%1920000.0000
12Rene BourqueLightningLightningLW/RW5000-100415280.00%009.:.22000000000100.00%161000.0000
13Jonathan HuberdeauLightningLightningC/LW500000029240.00%215.:.110000000000.00%2151000.0000
14Josh MorrisseyLightningLightningD500000061110.00%414.:.500000000000.00%014000.0000
15Zack SmithLightningLightningC/LW500000084230.00%415.:.2400000070053.13%3231000.0000
16Pierre-Edouard BellemareLightningLightningC/LW/RW5000-10053150.00%209.:.400000001000.00%022000.0000
17Morgan RiellyLightningLightningD500010079220.00%221.:.220000001000.00%016000.0000
18Jeff PetryLightningLightningD5000020123530.00%621.:.120000003000.00%024000.0000
Stats d'équipe Total ou en Moyenne90111627514011410416350906.75%48154317.150007890002401150.00%2428760000.3500000222
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
1Matt MurrayLightningLightning513191.7%2.53308001315795000.0%050010
Stats d'équipe Total ou en Moyenne51310.9172.53308001315795000.000050010


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 CONT 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
Blake WheelerLightningRW3131.08.1986No225 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm6,000,000$6,000,000$6,000,000$
Chris WagnerLightningC/RW2627.05.1991 15:28:31Yes195 Lbs6 ft0NoNoNo2Avec RestrictionPro Only600,000$600,000$
Dominic MooreLightningC/LW3703.08.1980No192 Lbs6 ft0NoNoNo1Sans RestrictionPro Only1,200,000$
Francois BeaucheminLightningD3704.06.1980No208 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,700,000$3,700,000$
Ian ColeLightningD2921.02.1989No219 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,900,000$
Jason SpezzaLightningC/LW/RW3413.06.1983No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm6,000,000$
Jeff PetryLightningD3009.12.1987No204 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$3,500,000$
Jonathan HuberdeauLightningC/LW2404.06.1993 15:04:12No188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm4,600,000$4,600,000$
Josh Morrissey (Contrat à 1 Volet)LightningD2328.03.1995Yes194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,100,000$1,100,000$Lien
Matt MurrayLightningD2325.05.1994 15:21:42Yes179 Lbs6 ft4NoNoNo1Avec RestrictionPro Only1,400,000$
Mikael GranlundLightningC/LW/RW2626.02.1992 14:45:31No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm2,800,000$
Mikko KoivuLightningC3512.03.1983No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm5,900,000$5,900,000$
Mikko RantanenLightningLW/RW2129.10.1996 2:08:30Yes211 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm1,500,000$1,500,000$
Morgan RiellyLightningD2409.03.1994 3:23:57No215 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,900,000$3,900,000$3,900,000$
Nathan MacKinnonLightningC/RW2201.09.1995 15:14:52No205 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm4,500,000$4,500,000$
Pierre-Edouard BellemareLightningC/LW/RW3306.03.1985Yes198 Lbs6 ft0NoNoNo1Sans RestrictionPro Only1,200,000$
Rene BourqueLightningLW/RW3610.12.1981No217 Lbs6 ft2NoNoNo1Sans RestrictionPro Only800,000$
Steve MasonLightningD2929.05.1988No217 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,800,000$
Steven StamkosLightningC/LW/RW2807.02.1990No194 Lbs6 ft1YesNoNo3Sans RestrictionPro & Farm7,600,000$7,600,000$7,600,000$
Victor HedmanLightningD2718.12.1990 21:39:25No223 Lbs6 ft6YesNoNo4Sans RestrictionPro & Farm7,000,000$7,000,000$7,000,000$7,000,000$
Zack SmithLightningC/LW3005.04.1988No208 Lbs6 ft2NoNoNo3Sans RestrictionPro Only2,500,000$2,500,000$2,500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.81205 Lbs6 ft22.003,404,762$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
71,500,000$52,400,000$30,500,000$10,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Steven StamkosMikko KoivuBlake Wheeler40014
2Mikael GranlundJason SpezzaNathan MacKinnon36014
3Jonathan HuberdeauZack SmithMikko Rantanen21122
4Pierre-Edouard BellemareDominic MooreRene Bourque3131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman43032
2Morgan RiellyJeff Petry35032
3Josh MorrisseyIan Cole22131
4Ian ColeMorgan Rielly0032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Steven StamkosMikko KoivuBlake Wheeler60005
2Mikael GranlundJason SpezzaNathan MacKinnon40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan RiellyVictor Hedman60014
2Jeff PetryJonathan Huberdeau40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mikko KoivuZack Smith58050
2Dominic MoorePierre-Edouard Bellemare42050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman55140
2Ian ColeJeff Petry45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zack Smith50050Francois BeaucheminVictor Hedman50050
2Mikko Koivu50050Ian ColeJeff Petry50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mikko KoivuBlake Wheeler50023
2Jason SpezzaMikael Granlund50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman50032
2Morgan RiellyJeff Petry50032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jason SpezzaMikko KoivuBlake WheelerSteven StamkosVictor Hedman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zack SmithMikko KoivuPierre-Edouard BellemareFrancois BeaucheminVictor Hedman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Wheeler, Mikko Koivu, Steven StamkosJason Spezza, Mikko RantanenMikael Granlund
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Hedman, Morgan Rielly, Francois BeaucheminJeff PetryMorgan Rielly, Josh Morrissey
Tirs de Pénalité
Nathan MacKinnon, Jonathan Huberdeau, Blake Wheeler, Steven Stamkos, Mikko Koivu
Gardien
#1 : Matt Murray, #2 : Steve Mason
Lignes d'Attaque Perso. en Prol.
Mikko Koivu, Blake Wheeler, Jason Spezza, Steven Stamkos, Nathan MacKinnon, Mikael Granlund, Mikael Granlund, Jonathan Huberdeau, Mikko Rantanen, Zack Smith, Rene Bourque
Lignes de Défense Perso. en Prol.
Victor Hedman, Morgan Rielly, Francois Beauchemin, Jeff Petry, Ian Cole


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
1LightningFlyers514000001113-220.2001116270042501634546611115748141141000.00%7357.14%05410850.00%428251.22%255248.08%12079110387940
Since Last GM Reset514000001113-220.2001116270042501634546611115748141141000.00%7357.14%05410850.00%428251.22%255248.08%12079110387940
Total514000001113-220.2001116270042501634546611115748141141000.00%7357.14%05410850.00%428251.22%255248.08%12079110387940
Vs Conference514000001113-220.2001116270042501634546611115748141141000.00%7357.14%05410850.00%428251.22%255248.08%12079110387940

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L3111627163157481411400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000077
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000046
Derniers 10 Matchs
WLOTWOTL SOWSOL
130100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1000.00%7357.14%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
454661114250
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
5410850.00%428251.22%255248.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12079110387940


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
Sun, Apr 20Lightning@LightningFlyers3,Lightning2 (OT)RECAP
Tue, Apr 22Lightning@LightningFlyers2,Lightning4RECAP
Thu, Apr 24Lightning@LightningLightning2,Flyers3RECAP
Sat, Apr 26Lightning@LightningLightning2,Flyers3RECAP
Mon, Apr 28Lightning@LightningFlyers2,Lightning1RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna75923996499519981398
Prix des Billets105704030190
Assistance2052588771143544514099
Attendance PCT90.12%74.05%76.31%74.26%97.73%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 16462 - 82.40% 2,052,364$6,157,091$19979100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
71,500,000$ 19,600,000$ 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$ 23,391,546$ 23,391,546$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Mikael GranlundAGE:26PO:0OV:72
Jason SpezzaAGE:34PO:0OV:72
Steven StamkosAGE:28PO:0OV:71
Zack SmithAGE:30PO:0OV:70
Dominic MooreAGE:37PO:0OV:68
Jonathan HuberdeauAGE:24PO:0OV:68
*Mikko RantanenAGE:21PO:0OV:66
Rene BourqueAGE:36PO:0OV:65
*Pierre-Edouard BellemareAGE:33PO:0OV:65
Micheal HaleyAGE:32PO:0OV:60
Matt FrattinAGE:30PO:0OV:60
Phil Di GiuseppeAGE:24PO:0OV:60
Ryan CarterAGE:34PO:0OV:57
Patrick DwyerAGE:34PO:0OV:57
*Charles HudonAGE:23PO:0OV:57
Mike BrownAGE:32PO:0OV:56
*Liam O'BrienAGE:23PO:0OV:52
*Mackenzie MacEachernAGE:24PO:0OV:51
*Klim KostinAGE:19PO:0OV:50
Mikko KoivuAGE:35PO:0OV:74
Mikael GranlundAGE:26PO:0OV:72
Jason SpezzaAGE:34PO:0OV:72
Nathan MacKinnonAGE:22PO:0OV:71
Steven StamkosAGE:28PO:0OV:71
Zack SmithAGE:30PO:0OV:70
Dominic MooreAGE:37PO:0OV:68
Jonathan HuberdeauAGE:24PO:0OV:68
*Pierre-Edouard BellemareAGE:33PO:0OV:65
*Chris WagnerAGE:26PO:0OV:60
*Vincent HinostrozaAGE:24PO:0OV:58
T.J. HensickAGE:32PO:0OV:58
Ryan CarterAGE:34PO:0OV:57
Grayson DowningAGE:26PO:0OV:57
Patrick DwyerAGE:34PO:0OV:57
*Charles HudonAGE:23PO:0OV:57
*Liam O'BrienAGE:23PO:0OV:52
*Anthony CirelliAGE:20PO:0OV:50
*Klim KostinAGE:19PO:0OV:50
Cameron DarcyAGE:24PO:0OV:50
*Quentin ShoreAGE:23PO:0OV:50
Blake WheelerAGE:31PO:0OV:76
Mikael GranlundAGE:26PO:0OV:72
Jason SpezzaAGE:34PO:0OV:72
Nathan MacKinnonAGE:22PO:0OV:71
Steven StamkosAGE:28PO:0OV:71
*Mikko RantanenAGE:21PO:0OV:66
Rene BourqueAGE:36PO:0OV:65
*Pierre-Edouard BellemareAGE:33PO:0OV:65
Matt FrattinAGE:30PO:0OV:60
*Chris WagnerAGE:26PO:0OV:60
Phil Di GiuseppeAGE:24PO:0OV:60
*Vincent HinostrozaAGE:24PO:0OV:58
T.J. HensickAGE:32PO:0OV:58
Ryan CarterAGE:34PO:0OV:57
Patrick DwyerAGE:34PO:0OV:57
Mike BrownAGE:32PO:0OV:56
*Klim KostinAGE:19PO:0OV:50
*Quentin ShoreAGE:23PO:0OV:50
Stefan FournierAGE:26PO:0OV:47

Défense #1Défense #2Gardien
Victor HedmanAGE:27PO:0OV:79
Francois BeaucheminAGE:37PO:0OV:73
Morgan RiellyAGE:24PO:0OV:73
Jeff PetryAGE:30PO:0OV:73
Ian ColeAGE:29PO:0OV:72
*Josh MorrisseyAGE:23PO:0OV:67
Connor CarrickAGE:24PO:0OV:65
Jakub KindlAGE:31PO:0OV:64
*Charles McAvoyAGE:20PO:0OV:63
Nicklas GrossmannAGE:33PO:0OV:59
Morgan EllisAGE:26PO:0OV:57
*Joe HickettsAGE:22PO:0OV:55
*Frank CorradoAGE:25PO:0OV:55
Brenden KichtonAGE:25PO:0OV:54
Trevor CarrickAGE:23PO:0OV:54
*Neal PionkAGE:25PO:0OV:50
*Matt MurrayAGE:23PO:0OV:80
Steve MasonAGE:29PO:0OV:79
*Joonas KorpisaloAGE:24PO:0OV:73
*Jon GilliesAGE:24PO:0OV:67
Thatcher DemkoAGE:22PO:0OV:60
*Mark VisentinAGE:25PO:0OV: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
Alex HutchingsLightning
Anthony DeLucaLightning2013176
Brady FergusonLightning2016255
Chris CalnanLightning2012122
Colt ConradLightning2017254
Corey DurocherLightning
Daniel BrickleyLightning2016253
Dillon DubeLightning201646
Dylan MalmquistLightning2016254
Geoffrey SchemitschLightning
Giorgio EstephanLightning2016176
Jakub GalvasLightning2017176
Jani HakanpaaLightning
Joe MasoniusLightning2016172
Joey HishonLightning
Karlis CuksteLightning2015244
Kirill KaprizovLightning2015116
Lucas LessioLightning
Luke MoffattLightning
Miro AaltonenLightning2013126
Mitchell StephensLightning201553
Ryan HitchcockLightning2014144
Ryan PeckfordLightning2017255
Taylor AronsonLightning
Tyler SoyLightning2016138
Wade AllisonLightning201648

Choix au Repêchage

Année R1R2R3R4R5R6R7
2018TBL TBL TBL TBL
2019TBL TBL TBL TBL TBL
2020TBL TBL TBL TBL TBL TBL TBL
2021TBL TBL TBL TBL TBL TBL TBL
2022TBL TBL TBL TBL TBL TBL TBL



[13.04.2018 21:02:55] - Crunch was eliminated at round 2 of year 2017.
[02.04.2018 20:53:11] - Lightning was eliminated at round 1 of year 2017.
[19.03.2018 21:07:21] - New Record for Team's Most Shots Blocked (24) in 1 Game for Lightning!
[24.02.2018 14:10:39] - Charles McAvoy was added to Lightning.
[24.02.2018 14:08:31] - Neal Pionk was added to Lightning.
[24.02.2018 14:07:31] - Klim Kostin was added to Lightning.
[24.02.2018 14:05:46] - Anthony Cirelli was added to Lightning.
[24.02.2018 14:01:35] - TRADE : From Lightning to Oilers : Alexei Emelin (71), Chandler Stephenson (52), Joseph Anderson (P), Matthew Phillips (P), Y:2018-RND:2-NJD, Y:2019-RND:3-TBL, Y:2018-RND:5-TBL.
[24.02.2018 14:01:35] - TRADE : From Oilers to Lightning : Jason Spezza (72), Jeff Petry (73).
[24.02.2018 14:01:34] - Jeff Petry was added to Lightning.
[24.02.2018 14:01:34] - Jason Spezza was added to Lightning.
[15.02.2018 21:20:16] - TRADE : From Lightning to Coyotes : Derrick Pouliot (59), Y:2019-RND:4-TBL.
[15.02.2018 21:20:16] - TRADE : From Coyotes to Lightning : Zack Smith (70).
[15.02.2018 21:20:15] - Zack Smith was added to Lightning.
[24.01.2018 21:09:09] - TRADE : From Lightning to Blue Jackets : Jannik Hansen (66).
[13.01.2018 21:39:34] - Francois Beauchemin has been selected as assistant for Lightning.
[13.01.2018 21:39:34] - Victor Hedman is no longer as assistant for Lightning.
[26.10.2017 21:55:54] - TRADE : From Maple Leafs to Lightning : Anthony Cirelli (P).
[26.10.2017 21:55:54] - TRADE : From Lightning to Maple Leafs : Y:2018-RND:3-TBL.
[17.10.2017 6:02:49] - Ryan Peckford has been added to Lightning.
[17.10.2017 6:02:36] - Colt Conrad has been added to Lightning.
[14.10.2017 8:10:43] - Lightning hired Bill Peters for 1 000 000 Kč for 5 year(s).
[14.10.2017 8:10:42] - Checkers fired Bill Peters.
[14.10.2017 8:10:35] - Lightning fired Mike Johnston.



[16.05.2018 20:45:02] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[11.05.2018 20:49:33] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[10.05.2018 23:04:53] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[26.04.2018 20:35:04] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[24.04.2018 20:34:36] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[23.04.2018 20:40:18] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[18.04.2018 21:12:25] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[18.04.2018 20:55:27] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[16.04.2018 20:47:40] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[13.04.2018 21:14:03] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[13.04.2018 21:02:55] Crunch lines for next game are empty. Current rosters/lines are not erased.
[13.04.2018 21:02:41] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[12.04.2018 20:31:09] Crunch lines for next game are empty. Current rosters/lines are not erased.
[12.04.2018 20:30:54] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[10.04.2018 20:46:25] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[10.04.2018 20:35:05] Crunch lines for next game are empty. Current rosters/lines are not erased.
[10.04.2018 20:34:49] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[09.04.2018 21:05:00] Crunch lines for next game are empty. Current rosters/lines are not erased.
[09.04.2018 21:04:52] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[06.04.2018 20:32:42] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[04.04.2018 20:44:38] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[04.04.2018 20:31:00] Mike Brown from Crunch is back from Strained Groin Injury.
[04.04.2018 20:30:42] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[02.04.2018 20:58:15] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2
[02.04.2018 20:53:11] Both Lightning and Crunch lines for next game are empty. Current rosters/lines are not erased.
[02.04.2018 20:52:56] Successfully loaded Lightning lines done with STHS Client - 3.1.2.2



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
Saison Régulière
20178242230336524116774412670113312872564116160223211395188424139163204788074142449820838770592481100329817871653722.42%1513378.15%3714134852.97%764148151.59%47692851.29%1934130418306261220609
Total Saison Régulière8242230336524116774412670113312872564116160223211395188424139163204788074142449820838770592481100329817871653722.42%1513378.15%3714134852.97%764148151.59%47692851.29%1934130418306261220609
2017514000001113-2312000007702020000046-221116270042501634546611115748141141000.00%7357.14%05410850.00%428251.22%255248.08%12079110387940
Total Séries514000001113-2312000007702020000046-221116270042501634546611115748141141000.00%7357.14%05410850.00%428251.22%255248.08%12079110387940