Lightning

DG: Lukas Pajatsch Morale : 75 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
1Blake WheelerX100.00663691869294999257585369649099061760
2Mikko Koivu (A)X100.00583093808792978990554973729599064740
3Mikael GranlundXXX100.00613097818289978768555271607676063720
4Nathan MacKinnonXX100.00613096798391968585544870747580064710
5Steven Stamkos (C)XX100.00653090798189678275535663648599058710
6Dominic MooreXX100.00623093687576987684434473589595063680
7Jonathan HuberdeauXX100.00593693798187678552535160737575063680
8Mikko Rantanen (R)X100.00583096758590928867455060605858062660
9Jannik HansenXX100.00634890737885728034464669598585060660
10Rene BourqueXX100.00683488677976807735424562589191060650
11Pierre-Edouard Bellemare (R)XXX100.00634296647476987381394179577075058650
12Chris Wagner (R)XX100.00773695627270647270384367575959064600
13Victor Hedman (A)X100.00733691929591959534554779628484062790
14Francois BeaucheminX100.00713093778090977834454182599599065730
15Morgan RiellyX100.00693496808489968233484379597580066730
16Ian ColeX100.00803988758286958234464081587777060720
17Alexei EmelinX100.00893286708088937834423880577878057710
18Josh Morrissey (R)X100.00793091707686867532434175575858061670
Rayé
MOYENNE D'ÉQUIPE100.0068349275818688825648467262798206270
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)100.0078968487807980798078797171063800
2Steve Mason100.0074969589717374747273908585062790
Rayé
MOYENNE D'ÉQUIPE100.007696908876767777767685787806380
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 WheelerLightningLightningRW43362009145621.43%218.:.28202000001100.00%4101001.6200
2Steven StamkosLightningLightningC/RW42463004114518.18%118.:.4502200001056.82%4491001.6000
3Mikael GranlundLightningLightningC/LW/RW41454200107610.00%018.:.2901100000025.00%461001.3500
4Jonathan HuberdeauLightningLightningC/LW43141005133623.08%117.:.380000000100.00%240001.1300
5Ian ColeLightningLightningD4044500103240.00%420.:.510110000000.00%002000.9600
6Nathan MacKinnonLightningLightningC/RW402220026290.00%217.:.2600000000069.23%1380000.5711
7Francois BeaucheminLightningLightningD402220074430.00%721.:.220000001000.00%004000.4700
8Dominic MooreLightningLightningC/LW4202100151240.00%413.:.1600000011147.83%2310000.7500
9Morgan RiellyLightningLightningD402250076020.00%521.:.260000000000.00%003000.4700
10Mikko KoivuLightningLightningC41013004103810.00%117.:.5500000000054.90%5131000.2801
11Josh MorrisseyLightningLightningD4101000125350.00%615.:.340000000000.00%000000.3200
12Alexei EmelinLightningLightningD401100085270.00%015.:.540000001000.00%012000.3100
13Victor HedmanLightningLightningD40112001214970.00%723.:.100000000000.00%042000.2200
14Jannik HansenLightningLightningLW/RW4011100710560.00%012.:.460000000000.00%142000.3900
15Pierre-Edouard BellemareLightningLightningC/LW/RW4101100440125.00%210.:.5000000000026.67%1513000.4600
16Rene BourqueLightningLightningLW/RW400010059640.00%110.:.4100000000050.00%240000.0000
17Mikko RantanenLightningLightningRW4000100610390.00%214.:.260000000000.00%170000.0000
18Chris WagnerLightningLightningC/RW400010063140.00%110.:.2700000000066.67%330000.0000
Stats d'équipe Total ou en Moyenne7214253935209888139629210.07%46119816.64246678000073252.15%1636522000.6512000341
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 MasonLightningLightning330094.6%1.30185004744800100.0%331001
2Matt MurrayLightningLightning110096.8%1.00600013118000.0%013001
Stats d'équipe Total ou en Moyenne44000.9521.2224500510566001.000344002


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 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 EmelinLightningD3125.04.1986 15:16:51No218 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm4,000,000$4,000,000$4,000,000$
Blake WheelerLightningRW3131.08.1986No225 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm6,000,000$6,000,000$6,000,000$6,000,000$
Chris WagnerLightningC/RW2627.05.1991 15:28:31Yes195 Lbs6 ft0NoNoNo2Avec RestrictionPro Only600,000$600,000$600,000$
Dominic MooreLightningC/LW3703.08.1980No192 Lbs6 ft0NoNoNo1Sans RestrictionPro Only1,200,000$1,200,000$
Francois BeaucheminLightningD3704.06.1980No208 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,700,000$3,700,000$3,700,000$
Ian ColeLightningD2821.02.1989No219 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,900,000$1,900,000$
Jannik HansenLightningLW/RW3115.03.1986No194 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,400,000$2,400,000$2,400,000$
Jonathan HuberdeauLightningC/LW2404.06.1993 15:04:12No188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm4,600,000$4,600,000$4,600,000$
Josh Morrissey (Contrat à 1 Volet)LightningD2228.03.1995Yes194 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm1,100,000$1,100,000$1,100,000$Lien
Matt MurrayLightningG2325.05.1994 15:21:42Yes179 Lbs6 ft4NoNoNo1Avec RestrictionPro Only1,400,000$1,400,000$
Mikael GranlundLightningC/LW/RW2526.02.1992 14:45:31No184 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm2,800,000$2,800,000$
Mikko KoivuLightningC3412.03.1983No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm5,900,000$5,900,000$5,900,000$
Mikko RantanenLightningRW2029.10.1996 2:08:30Yes211 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm1,500,000$1,500,000$1,500,000$
Morgan RiellyLightningD2309.03.1994 3:23:57No215 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm3,900,000$3,900,000$3,900,000$3,900,000$
Nathan MacKinnonLightningC/RW2201.09.1995 15:14:52No205 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm4,500,000$4,500,000$4,500,000$
Pierre-Edouard BellemareLightningC/LW/RW3206.03.1985Yes198 Lbs6 ft0NoNoNo1Sans RestrictionPro Only1,200,000$1,200,000$
Rene BourqueLightningLW/RW3510.12.1981No217 Lbs6 ft2NoNoNo1Sans RestrictionPro Only800,000$800,000$
Steve MasonLightningG2929.05.1988No217 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,800,000$3,800,000$
Steven StamkosLightningC/RW2707.02.1990No194 Lbs6 ft1YesNoNo3Sans RestrictionPro & Farm7,600,000$7,600,000$7,600,000$7,600,000$
Victor HedmanLightningD2618.12.1990 21:39:25No223 Lbs6 ft6YesNoNo4Avec RestrictionPro & Farm7,000,000$7,000,000$7,000,000$7,000,000$7,000,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2028.15205 Lbs6 ft21.903,295,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
65,900,000$52,800,000$24,500,000$7,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikael GranlundMikko KoivuSteven Stamkos40014
2Jonathan HuberdeauNathan MacKinnonBlake Wheeler35023
3Jannik HansenDominic MooreMikko Rantanen22032
4Rene BourquePierre-Edouard BellemareChris Wagner3131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman40032
2Morgan RiellyIan Cole36032
3Josh MorrisseyAlexei Emelin24131
4Francois BeaucheminVictor Hedman0032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikael GranlundSteven StamkosBlake Wheeler60005
2Jonathan HuberdeauMikko KoivuNathan MacKinnon40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan RiellyVictor Hedman60014
2Ian ColeMikko Rantanen40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dominic MoorePierre-Edouard Bellemare60050
2Mikko KoivuNathan MacKinnon40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminAlexei Emelin50050
2Morgan RiellyIan Cole50050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Pierre-Edouard Bellemare60050Francois BeaucheminAlexei Emelin50050
2Mikko Koivu40050Morgan RiellyIan Cole50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Steven StamkosBlake Wheeler50023
2Mikko KoivuMikael Granlund50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Francois BeaucheminVictor Hedman50032
2Morgan RiellyIan Cole50032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikael GranlundSteven StamkosBlake WheelerMorgan RiellyVictor Hedman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominic MooreMikko KoivuPierre-Edouard BellemareFrancois BeaucheminIan Cole
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Stamkos, Blake Wheeler, Mikael GranlundMikko Koivu, Mikko RantanenMikko Koivu
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Hedman, Francois Beauchemin, Morgan RiellyMorgan RiellyVictor Hedman, Josh Morrissey
Tirs de Pénalité
Nathan MacKinnon, Mikko Koivu, Steven Stamkos, Jonathan Huberdeau, Blake Wheeler
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
1LightningBruins1100000032121.000369000210271010702990243133.33%000.00%0417256.94%225044.00%244158.54%231519716850.0%11.1%93.1%104.2LUCKY
2LightningCapitals1100000051421.00058130013103812121403117027000.00%000.00%0417256.94%225044.00%244158.54%231622614783.3%13.2%96.8%109.9LUCKY
3LightningDevils1100000051421.00059140013103511159028122242150.00%10100.00%0417256.94%225044.00%244158.54%251719715780.0%14.3%96.4%110.7LUCKY
4LightningPanthers1000001021121.000224000101401316103178023300.00%000.00%0417256.94%225044.00%244158.54%282121815766.7%5.0%94.1%99.1DULL
Since Last GM Reset430000101551081.0001525400029311404653403105462988225.00%10100.00%0417256.94%225044.00%244158.54%101718230603072.2%10.7%95.2%106.0LUCKY
Total430000101551081.0001525400029311404653403105462988225.00%10100.00%0417256.94%225044.00%244158.54%101718230603072.2%10.7%95.2%106.0LUCKY
Vs Conference430000101551081.0001525400029311404653403105462988225.00%10100.00%0417256.94%225044.00%244158.54%101718230603072.2%10.7%95.2%106.0LUCKY
Vs Division430000101551081.0001525400029311404653403105462988225.00%10100.00%0417256.94%225044.00%244158.54%101718230603072.2%10.7%95.2%106.0LUCKY

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48SOW11525401401054629800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4300010155
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3200010123
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000032
Derniers 10 Matchs
WLOTWOTL SOWSOL
300010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8225.00%10100.00%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
46534032931
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
417256.94%225044.00%244158.54%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1017182306030


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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Nov 22Lightning@LightningLightning3,Bruins2RECAP
Sat, Nov 23Lightning@LightningCapitals1,Lightning5RECAP
Mon, Nov 25Lightning@LightningDevils1,Lightning5RECAP
Wed, Nov 27Lightning@LightningPanthers1,Lightning2 (SO)RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna75923996499519981398
Prix des Billets90603420140
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$19979100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
65,900,000$ 16,800,000$ 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$ 38,283,631$ 38,283,631$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Mikael GranlundAGE:25PO:0OV:72
Dominic MooreAGE:37PO:0OV:68
Jonathan HuberdeauAGE:24PO:0OV:68
Jannik HansenAGE:31PO:0OV:66
Rene BourqueAGE:35PO:0OV:65
*Pierre-Edouard BellemareAGE:32PO:0OV:65
Micheal HaleyAGE:31PO:0OV:60
Matt FrattinAGE:29PO: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
Chandler StephensonAGE:23PO:0OV:52
*Mackenzie MacEachernAGE:23PO:0OV:51
Mikko KoivuAGE:34PO:0OV:74
Mikael GranlundAGE:25PO:0OV:72
Nathan MacKinnonAGE:22PO:0OV:71
Steven StamkosAGE:27PO:0OV:71
Dominic MooreAGE:37PO:0OV:68
Jonathan HuberdeauAGE:24PO:0OV:68
*Pierre-Edouard BellemareAGE:32PO:0OV:65
*Chris WagnerAGE:26PO:0OV:60
*Vincent HinostrozaAGE:23PO:0OV:58
T.J. HensickAGE:31PO:0OV:58
Ryan CarterAGE:34PO:0OV:57
Grayson DowningAGE:25PO:0OV:57
Patrick DwyerAGE:34PO:0OV:57
*Charles HudonAGE:23PO:0OV:57
*Liam O'BrienAGE:23PO:0OV:52
Chandler StephensonAGE:23PO:0OV:52
Cameron DarcyAGE:23PO:0OV:50
*Quentin ShoreAGE:23PO:0OV:50
Blake WheelerAGE:31PO:0OV:76
Mikael GranlundAGE:25PO:0OV:72
Nathan MacKinnonAGE:22PO:0OV:71
Steven StamkosAGE:27PO:0OV:71
*Mikko RantanenAGE:20PO:0OV:66
Jannik HansenAGE:31PO:0OV:66
Rene BourqueAGE:35PO:0OV:65
*Pierre-Edouard BellemareAGE:32PO:0OV:65
Matt FrattinAGE:29PO:0OV:60
*Chris WagnerAGE:26PO:0OV:60
Phil Di GiuseppeAGE:24PO:0OV:60
*Vincent HinostrozaAGE:23PO:0OV:58
T.J. HensickAGE:31PO:0OV:58
Ryan CarterAGE:34PO:0OV:57
Patrick DwyerAGE:34PO:0OV:57
Mike BrownAGE:32PO:0OV:56
*Quentin ShoreAGE:23PO:0OV:50
Stefan FournierAGE:25PO:0OV:47

Défense #1Défense #2Gardien
Victor HedmanAGE:26PO:0OV:79
Francois BeaucheminAGE:37PO:0OV:73
Morgan RiellyAGE:23PO:0OV:73
Ian ColeAGE:28PO:0OV:72
Alexei EmelinAGE:31PO:0OV:71
*Josh MorrisseyAGE:22PO:0OV:67
Connor CarrickAGE:23PO:0OV:65
Jakub KindlAGE:30PO:0OV:64
*Derrick PouliotAGE:23PO:0OV:59
Nicklas GrossmannAGE:32PO:0OV:59
Morgan EllisAGE:25PO:0OV:57
*Joe HickettsAGE:21PO:0OV:55
*Frank CorradoAGE:24PO:0OV:55
Brenden KichtonAGE:25PO:0OV:54
Trevor CarrickAGE:23PO:0OV:54
*Matt MurrayAGE:23PO:0OV:80
Steve MasonAGE:29PO:0OV:79
*Joonas KorpisaloAGE:23PO:0OV:73
*Jon GilliesAGE:23PO:0OV:67
Thatcher DemkoAGE:21PO: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
Charles McAvoyLightning201618
Chris CalnanLightning2012122
Corey DurocherLightning
Daniel BrickleyLightning2016253
Dillon DubeLightning201646
Dylan MalmquistLightning2016254
Geoffrey SchemitschLightning
Giorgio EstephanLightning2016176
Jakub GalvasLightning2017176
Jani HakanpaaLightning
Joe MasoniusLightning2016172
Joey HishonLightning
Joseph Anderson Lightning201680
Karlis CuksteLightning2015244
Kirill KaprizovLightning2015116
Klim KostinLightning201726
Lucas LessioLightning
Luke MoffattLightning
Matthew PhillipsLightning201687
Miro AaltonenLightning2013126
Mitchell StephensLightning201553
Neal PionkLightning2017109
Ryan HitchcockLightning2014144
Taylor AronsonLightning
Tyler SoyLightning2016138
Wade AllisonLightning201648

Choix au Repêchage

Année R1R2R3R4R5R6R7
2018TBL NJD 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
2022TBL TBL TBL TBL TBL TBL TBL



[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.
[10.10.2017 20:54:07] - Victor Hedman has been selected as assistant for Lightning.
[10.10.2017 20:54:07] - Unknown Player is no longer as assistant for Lightning.
[10.10.2017 20:54:07] - Mikko Koivu has been selected as assistant for Lightning.
[10.10.2017 20:54:07] - Francois Beauchemin is no longer as assistant for Lightning.
[03.10.2017 10:10:45] - Lightning drafts Jakub Galvas as the #176 overall pick in the Entry Draft of year 2017.
[02.10.2017 8:51:55] - Nicklas Grossmann signed with Lightning for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2017 8:51:55] - Nicklas Grossmann was added to Lightning.
[02.10.2017 8:51:48] - Mike Brown signed with Lightning for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2017 8:51:48] - Mike Brown was added to Lightning.
[02.10.2017 8:51:39] - Patrick Dwyer signed with Lightning for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2017 8:51:39] - Patrick Dwyer was added to Lightning.
[02.10.2017 8:51:28] - Ryan Carter signed with Lightning for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2017 8:51:28] - Ryan Carter was added to Lightning.
[02.10.2017 8:51:20] - T.J. Hensick signed with Lightning for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2017 8:51:20] - T.J. Hensick was added to Lightning.
[02.10.2017 8:51:13] - Matt Frattin signed with Lightning for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2017 8:51:13] - Matt Frattin was added to Lightning.
[02.10.2017 8:37:13] - TRADE : From Maple Leafs to Lightning : Jakub Kindl (64).
[02.10.2017 8:37:12] - Jakub Kindl was added to Lightning.
[23.09.2017 8:05:17] - Rene Bourque signed with Lightning for 800 000 Kč for 1 year(s) with 0 Kč in bonus.
[23.09.2017 8:05:17] - Rene Bourque was added to Lightning.
[22.09.2017 5:12:30] - Lightning drafts Neal Pionk as the #109 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:34:51] - TRADE : From Lightning to Islanders : Y:2017-RND:2-TBL.
[16.09.2017 16:34:51] - TRADE : From Islanders to Lightning : Y:2018-RND:2-NJD.



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
201743000010155103200001012391100000032181525400029311404653403105462988225.00%10100.00%0417256.94%225044.00%244158.54%1017182306030
Total Saison Régulière43000010155103200001012391100000032181525400029311404653403105462988225.00%10100.00%0417256.94%225044.00%244158.54%1017182306030