Connexion

Lightning
GP: 16 | W: 6 | L: 6 | OTL: 4 | P: 16
GF: 49 | GA: 59 | PP%: 21.82% | PK%: 72.50%
DG: Claude Melançon | Morale : 42 | Moyenne d’équipe : 68
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Centre de jeu
Lightning
6-6-4, 16pts
2
FINAL
3 Golden Knights
10-4-2, 22pts
Team Stats
SOW1StreakW1
2-3-3Home Record6-2-0
4-3-1Away Record4-2-2
4-4-2Last 10 Games7-2-1
3.06Goals Per Game4.06
3.69Goals Against Per Game3.13
21.82%Power Play Percentage22.00%
72.50%Penalty Kill Percentage71.43%
Lightning
6-6-4, 16pts
4
FINAL
3 Rangers
9-3-4, 22pts
Team Stats
SOW1StreakSOL1
2-3-3Home Record5-1-2
4-3-1Away Record4-2-2
4-4-2Last 10 Games5-1-4
3.06Goals Per Game3.25
3.69Goals Against Per Game2.31
21.82%Power Play Percentage22.73%
72.50%Penalty Kill Percentage87.50%
Meneurs d'équipe
Buts
Ryan Nugent-Hopkins
10
Passes
Tyler Seguin
11
Points
Ryan Nugent-Hopkins
20
Plus/Moins
Teddy Blueger
0
Victoires
Braden Holtby
4
Pourcentage d’arrêts
Anton Khudobin
0.907

Statistiques d’équipe
Buts pour
49
3.06 GFG
Tirs pour
549
34.31 Avg
Pourcentage en avantage numérique
21.8%
12 GF
Début de zone offensive
39.1%
Buts contre
59
3.69 GAA
Tirs contre
555
34.69 Avg
Pourcentage en désavantage numérique
72.5%
11 GA
Début de la zone défensive
35.4%
Information d’équipe

Directeur généralClaude Melançon
EntraîneurDarryl Sutter
DivisionWayne Gretzky
ConférenceMaurice Richard
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomTampa Baseball Stadium
Capacité18,000
Assistance0
Billets de saison7,200


Information formation

Équipe Pro21
Équipe Mineure22
Limite contact 43 / 55
Espoirs29


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible82,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel35,787,144$
Compte bancaire projeté35,787,144$


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
1Ryan Nugent-HopkinsXX96.0065418788678588985278827161747580467602855,125,000$
2Nick FolignoXXX99.0092468183737787756272668225828573467203323,800,000$
3Tyler Seguin (R)XX96.0074428590747657779380726487768180467102939,850,000$
4Jonathan MarchessaultX98.0071428085647691814682845325585977497003045,000,000$
5Andrew CoglianoXXX100.0080438689636691613360597972889367466803411,000,000$
6Teddy BluegerXXX100.0077438868686883617977708725596072466802622,200,000$
7Ryan DzingelXXX100.0076438482706379743361726775666770466702911,100,000$
8Cedric PaquetteXX100.009446868273548255445959675370756546640271950,000$
9Chris WagnerXX100.0083458377715981575657578525676967466403021,350,000$
10Alexander TrueXX100.007878796778676865806063696056566649630231750,000$
11T.J. BrodieX97.0067429285698390622557477925757662467003135,000,000$
12Radko GudasX100.0099477977747288602552488125707165467003122,500,000$
13Andrej SekeraX98.0075439679716779592543498325828461466903511,500,000$
14Colin MillerX98.0084458379727478672552497325676962466802813,875,000$
15Jani HakanpaaX100.0099488266827585592543488225515155496702931,500,000$
16Nicolas DeslauriersXX100.009399707181598359316059712568686446670301900,000$
17Michael StoneX100.007744937679685660254950762569706035650311750,000$
Rayé
1Jakob SilfverbergXX94.0063428884747485773863707890747774467003035,250,000$
Équipe Mineure
1Nathan ToddX100.007774856374666765806463666044446646610251700,000$
2Brett MurrayX100.008385796185656663506063686044446550610221775,000$
3Ross ColtonXX100.0077448465705772617360815425464671546002421,125,000$
4Jordy BelleriveX100.006569556669646562785564596144446249580221733,335$
5Samuel Asselin (R)XX100.007064835564646562785762625944446349570231700,000$
6Marian StudenicX100.008143856062576056256164662544446351570221750,000$
7Mason JobstXX100.007164876764575760755362625944446243570271750,000$
8Zach Solow (R)X100.007362996062515155505154615144445746540221700,000$
9Felix Bibeau (R)X100.007168796468586052655346604444445449540221700,000$
10Maxim Sushko (R)X100.00686578657167555348475558254444046540223775,000$
11Travis St. DenisXX100.006159646859667051644751544844445551530281700,000$
12Riley StillmanX100.008946786972676660253948832550516146640231773,333$
13Samuel Bolduc (R)X100.008280876580636559254756675344446244600202842,500$
14Nick DeSimoneX100.007872936572586053255239633744445451570261750,000$
15Sean DurziX100.007168776468626553255042604044445449560221809,167$
16Alex Green (R)X100.007973926373545550254640633844445443560232817,500$
17Michael Kesselring (R)X100.008179855879535546253541633944445246550213925,000$
18Kaedan Korczak (R)X100.007674795974555846253839613744445041540203789,167$
19Parker WotherspoonX100.006568596368616646253640553844444951530231725,000$
MOYENNE D’ÉQUIPE99.35775882717165716145565768435758614762
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
1Braden Holtby98.005674738156565658625678717560436203114,300,000$
2Matt Murray100.005971707462576062625986606162466202736,250,000$
Rayé
1Anton Khudobin100.007868676984717678817795646677377203523,333,333$
Équipe Mineure
1Andrew Hammond (R)100.00596379815864576463623050516145610331750,000$
2Joseph Woll (R)100.00515873824853505651513044445348540221800,000$
3Stuart Skinner100.00606986835862586660593044446149610222750,000$
MOYENNE D’ÉQUIPE99.6761677578616160646361585657624562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter81887984938751CAN623650,000$


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
1Ryan Nugent-HopkinsLightningC/LW16101020-660181978275512.82%534321.4935816510000142042.06%233126001.1600000121
2Tyler SeguinLightningC/RW1651116-710029286826457.35%1232820.533361050000010250.00%244165000.9712000002
3Cedric PaquetteLightningC/LW16639-1201211175835.29%51469.1800000000020060.71%2841001.2300000200
4Nick FolignoLightningC/LW/RW16459-16024154511308.89%928617.880222170003181043.26%141511000.6300000001
5Alexander TrueLightningC/RW16459-12014833141212.12%21469.1600002000000041.86%4392001.2300000002
6Jonathan MarchessaultLightningLW16358-46019206111244.92%027517.19011547000010050.00%1292000.5800000010
7Colin MillerLightningD16167080192023854.35%1934821.78112233000012010.00%0011000.4000000110
8Jakob SilfverbergLightningLW/RW16516-520162031131816.13%932020.032134370000281148.15%2769000.3713000001
9Ryan DzingelLightningC/LW/RW16156-2001612437312.33%519812.39022227000000060.00%5156000.6112000000
10Andrej SekeraLightningD16235-4001321177511.76%2133520.99101250000132100.00%009000.3000000010
11Andrew CoglianoLightningC/LW/RW16325-20021232351613.04%1022814.27000010001130037.50%4025100.4400000010
12Teddy BluegerLightningC/LW/RW1623500018243113256.45%825015.681123370000250049.70%16939000.4000000001
13Nicolas DeslauriersLightningLW/D16044060171111250.00%822313.9701144100001000.00%322000.3600000000
14T.J. BrodieLightningD16123-1040925225114.55%3037623.51101316000127000.00%0313000.1600000000
15Chris WagnerLightningC/RW16033-4001912112170.00%617811.16000000001160066.67%676000.3400000000
16Brett MurrayHershey Bears (TAM)LW51234202462716.67%0448.9200000000000050.00%200001.3500000000
17Jani HakanpaaLightningD16022-16061311550.00%1322414.0200003000023000.00%013000.1800000000
18Radko GudasLightningD16011-10120202411330.00%2333821.13011036000223000.00%0018000.0600000000
19Riley StillmanHershey Bears (TAM)D1000046012126210.00%6969.690000000000000.00%006000.0000000000
20Michael StoneLightningD110000002131120.00%61029.360000000000000.00%024000.0000000000
Statistiques d’équipe totales ou en moyenne2984873121-507803063355491693258.74%197479416.091218305345600092455446.38%95396128100.5037000468
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
1Braden HoltbyLightning114520.8973.416690038368210000.8005110000
2Anton KhudobinLightning41020.9073.47225001314071000.000032000
3Matt MurrayLightning21100.8515.25800074726000.0000214000
Statistiques d’équipe totales ou en moyenne176640.8953.579760058555307000.80051616000


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 Type Salaire actuel Plafond salarial 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 10Link
Alexander TrueLightningC/RW231997-07-16No200 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$750,000$NoLien
Andrej SekeraLightningD351986-06-07No195 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLien
Andrew CoglianoLightningC/LW/RW341987-06-13No175 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$NoLien
Anton KhudobinLightningG351986-05-07No195 Lbs5 ft11NoNoNo2Pro & Farm3,333,333$3,333,333$3,333,333$No3,333,333$Lien
Braden HoltbyLightningG311989-09-16No214 Lbs6 ft2NoNoNo1Pro & Farm4,300,000$4,300,000$4,300,000$NoLien
Cedric PaquetteLightningC/LW271993-08-12No204 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$950,000$NoLien
Chris WagnerLightningC/RW301991-05-26No198 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$1,350,000$1,350,000$No1,350,000$Lien
Colin MillerLightningD281992-10-29No199 Lbs6 ft1NoNoNo1Pro & Farm3,875,000$3,875,000$3,875,000$NoLien
Jakob Silfverberg (sur la masse salariale)LightningLW/RW301990-10-13No208 Lbs6 ft0NoNoNo3Pro & Farm5,250,000$5,250,000$5,250,000$No5,250,000$5,250,000$Lien
Jani HakanpaaLightningD291992-03-31No218 Lbs6 ft5NoNoNo3Pro & Farm1,500,000$1,500,000$1,500,000$No1,500,000$1,500,000$Lien
Jonathan MarchessaultLightningLW301990-12-27No180 Lbs5 ft9NoNoNo4Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$5,000,000$Lien
Matt MurrayLightningG271994-05-25No178 Lbs6 ft4NoNoNo3Pro & Farm6,250,000$6,250,000$6,250,000$No6,250,000$6,250,000$Lien
Michael StoneLightningD311990-06-07No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$750,000$NoLien
Nick FolignoLightningC/LW/RW331987-10-30No202 Lbs6 ft0NoNoNo2Pro & Farm3,800,000$3,800,000$3,800,000$No3,800,000$Lien
Nicolas DeslauriersLightningLW/D301991-02-22No215 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$900,000$NoLien
Radko GudasLightningD311990-06-05No208 Lbs6 ft0NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$Lien
Ryan DzingelLightningC/LW/RW291992-03-09No190 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$1,100,000$1,100,000$NoLien
Ryan Nugent-HopkinsLightningC/LW281993-04-12No184 Lbs6 ft0NoNoNo5Pro & Farm5,125,000$5,125,000$5,125,000$No5,125,000$5,125,000$5,125,000$5,125,000$Lien
T.J. BrodieLightningD311990-06-07No185 Lbs6 ft1NoNoNo3Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$5,000,000$Lien
Teddy BluegerLightningC/LW/RW261994-08-14No185 Lbs6 ft0NoNoNo2Pro & Farm2,200,000$2,200,000$2,200,000$No2,200,000$Lien
Tyler SeguinLightningC/RW291992-01-31Yes200 Lbs6 ft1NoNoNo3Pro & Farm9,850,000$9,850,000$9,850,000$No9,850,000$9,850,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.86197 Lbs6 ft12.053,156,349$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
66,283,333$51,158,333$37,975,000$10,125,000$5,125,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan Nugent-HopkinsTyler Seguin40122
2Jonathan MarchessaultNick FolignoAndrew Cogliano30122
3Nicolas DeslauriersTeddy BluegerRyan Dzingel20122
4Cedric PaquetteAlexander TrueChris Wagner10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1T.J. BrodieColin Miller43122
2Andrej SekeraRadko Gudas32122
3Jani HakanpaaMichael Stone25122
4Jani HakanpaaMichael Stone0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan MarchessaultRyan Nugent-HopkinsTyler Seguin60122
2Teddy BluegerRyan Dzingel40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas DeslauriersAndrej Sekera60122
2Radko GudasColin Miller40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Teddy Blueger60122
2Nick FolignoChris Wagner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrej SekeraJani Hakanpaa60122
2T.J. BrodieRadko Gudas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Teddy Blueger60122Andrej SekeraJani Hakanpaa60122
2Chris Wagner40122T.J. BrodieRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler SeguinJonathan Marchessault60122
2Teddy BluegerRyan Nugent-Hopkins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas DeslauriersRadko Gudas60122
2Andrej SekeraColin Miller40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan MarchessaultRyan Nugent-HopkinsTyler SeguinNicolas DeslauriersAndrej Sekera
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick FolignoTeddy BluegerChris WagnerAndrej SekeraJani Hakanpaa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Cogliano, Ryan Dzingel, Chris WagnerNick Foligno, Alexander TrueAndrew Cogliano
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jani Hakanpaa, Nicolas Deslauriers, Radko GudasJani HakanpaaColin Miller, Andrej Sekera
Tirs de pénalité
, Tyler Seguin, Ryan Dzingel, Andrew Cogliano, Ryan Nugent-Hopkins
Gardien
#1 : Braden Holtby, #2 : Matt Murray
Lignes d’attaque personnalisées en prolongation
Ryan Nugent-Hopkins, Nick Foligno, Tyler Seguin, Jonathan Marchessault, , Teddy Blueger, Teddy Blueger, Andrew Cogliano, Ryan Dzingel, Alexander True, Chris Wagner
Lignes de défense personnalisées en prolongation
Nicolas Deslauriers, T.J. Brodie, Andrej Sekera, Radko Gudas, Jani Hakanpaa


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
1Avalanche210001008711000010034-11100000053230.750814220013407530281618237432300.00%20100.00%017236746.87%14533243.67%12524052.08%462943173517
2Golden Knights2010000149-51010000026-41000000123-110.250448003010511615194552010468112.50%6266.67%017236746.87%14533243.67%12524052.08%412245203818
3Islanders2100010010821000010045-11100000063330.750101626000640691922280743112375120.00%6266.67%017236746.87%14533243.67%12524052.08%422445173416
4Kings21100000651110000005321010000012-120.5006915002310682724170501916508225.00%8275.00%017236746.87%14533243.67%12524052.08%422342183516
5Penguins2110000067-1110000004221010000025-320.5006101600033071172826071206338225.00%3166.67%017236746.87%14533243.67%12524052.08%412343173518
6Rangers201000106601010000023-11000001043120.5006814000142661326246742012469222.22%6266.67%017236746.87%14533243.67%12524052.08%412145193819
7Red Wings2010010049-51000010023-11010000026-410.250461000022072232326072288328337.50%4175.00%017236746.87%14533243.67%12524052.08%432744173315
8Whalers2110000058-31010000026-41100000032120.5005611002210772423300772210306116.67%5180.00%017236746.87%14533243.67%12524052.08%412442183517
Total1656003114959-10823003002432-8833000112527-2160.5004973122008202025491691891861155519778306551221.82%401172.50%017236746.87%14533243.67%12524052.08%340195353148285140
_Since Last GM Reset1656003114959-10823003002432-8833000112527-2160.5004973122008202025491691891861155519778306551221.82%401172.50%017236746.87%14533243.67%12524052.08%340195353148285140
_Vs Conference1656003114959-10823003002432-8833000112527-2160.5004973122008202025491691891861155519778306551221.82%401172.50%017236746.87%14533243.67%12524052.08%340195353148285140

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1616SOW149731225495551977830600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
165603114959
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82303002432
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83300112527
Derniers 10 matchs
WLOTWOTL SOWSOL
340111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
551221.82%401172.50%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
16918918611820202
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
17236746.87%14533243.67%12524052.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
340195353148285140


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
1 - 2021-09-136Lightning5Avalanche3AWSommaire du match
2 - 2021-09-1422Islanders5Lightning4BLXSommaire du match
3 - 2021-09-1548Avalanche4Lightning3BLXSommaire du match
4 - 2021-09-1659Lightning2Penguins5ALSommaire du match
5 - 2021-09-1769Lightning6Islanders3AWSommaire du match
6 - 2021-09-1883Lightning2Red Wings6ALSommaire du match
7 - 2021-09-1999Golden Knights6Lightning2BLSommaire du match
8 - 2021-09-20116Whalers6Lightning2BLSommaire du match
10 - 2021-09-22142Kings3Lightning5BWSommaire du match
11 - 2021-09-23156Lightning3Whalers2AWSommaire du match
13 - 2021-09-25171Lightning1Kings2ALSommaire du match
14 - 2021-09-26185Penguins2Lightning4BWSommaire du match
16 - 2021-09-28206Rangers3Lightning2BLSommaire du match
19 - 2021-10-01228Red Wings3Lightning2BLXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2021-10-02240Lightning2Golden Knights3ALXXSommaire du match
21 - 2021-10-03254Lightning4Rangers3AWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets85755540150
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 61,033,333$ 52,675,000$ 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$ 20 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 35,787,144$ 35,787,144$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 82,500,000$ 82,500,000$ -63,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Ryan Nugent-HopkinsAGE:28PO:80OV:76
Nick FolignoAGE:33PO:73OV:72
Jonathan MarchessaultAGE:30PO:77OV:70
Jakob SilfverbergAGE:30PO:74OV:70
Teddy BluegerAGE:26PO:72OV:68
Andrew CoglianoAGE:34PO:67OV:68
Ryan DzingelAGE:29PO:70OV:67
Nicolas DeslauriersAGE:30PO:64OV:67
Cedric PaquetteAGE:27PO:65OV:64
Brett MurrayAGE:22PO:65OV:61
Ross ColtonAGE:24PO:71OV:60
Samuel Asselin (R)AGE:23PO:63OV:57
Mason JobstAGE:27PO:62OV:57
Ryan Nugent-HopkinsAGE:28PO:80OV:76
Nick FolignoAGE:33PO:73OV:72
Tyler Seguin (R)AGE:29PO:80OV:71
Teddy BluegerAGE:26PO:72OV:68
Andrew CoglianoAGE:34PO:67OV:68
Ryan DzingelAGE:29PO:70OV:67
Chris WagnerAGE:30PO:67OV:64
Cedric PaquetteAGE:27PO:65OV:64
Alexander TrueAGE:23PO:66OV:63
Nathan ToddAGE:25PO:66OV:61
Ross ColtonAGE:24PO:71OV:60
Jordy BelleriveAGE:22PO:62OV:58
Samuel Asselin (R)AGE:23PO:63OV:57
Mason JobstAGE:27PO:62OV:57
Felix Bibeau (R)AGE:22PO:54OV:54
Travis St. DenisAGE:28PO:55OV:53
Nick FolignoAGE:33PO:73OV:72
Tyler Seguin (R)AGE:29PO:80OV:71
Jakob SilfverbergAGE:30PO:74OV:70
Teddy BluegerAGE:26PO:72OV:68
Andrew CoglianoAGE:34PO:67OV:68
Ryan DzingelAGE:29PO:70OV:67
Chris WagnerAGE:30PO:67OV:64
Alexander TrueAGE:23PO:66OV:63
Marian StudenicAGE:22PO:63OV:57
Zach Solow (R)AGE:22PO:57OV:54
Maxim Sushko (R)AGE:22PO:0OV:54
Travis St. DenisAGE:28PO:55OV:53

Défense #1Défense #2Gardien
Radko GudasAGE:31PO:65OV:70
T.J. BrodieAGE:31PO:62OV:70
Andrej SekeraAGE:35PO:61OV:69
Colin MillerAGE:28PO:62OV:68
Nicolas DeslauriersAGE:30PO:64OV:67
Jani HakanpaaAGE:29PO:55OV:67
Michael StoneAGE:31PO:60OV:65
Riley StillmanAGE:23PO:61OV:64
Samuel Bolduc (R)AGE:20PO:62OV:60
Nick DeSimoneAGE:26PO:54OV:57
Sean DurziAGE:22PO:54OV:56
Alex Green (R)AGE:23PO:54OV:56
Michael Kesselring (R)AGE:21PO:52OV:55
Kaedan Korczak (R)AGE:20PO:50OV:54
Parker WotherspoonAGE:23PO:49OV:53
Anton KhudobinAGE:35PO:77OV:72
Matt MurrayAGE:27PO:62OV:62
Braden HoltbyAGE:31PO:60OV:62
Andrew Hammond (R)AGE:33PO:61OV:61
Stuart SkinnerAGE:22PO:61OV:61
Joseph Woll (R)AGE:22PO:53OV:54

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam EdstromLightning2019178
Anton LundellLightning20209
Benjamin BaumgartnerLightning2020164
Boo NievesLightningLien
Brent JohnsonLightning202187
Caedan BankierLightning2021117
Colby SissonsLightningLien
Hayden HawkeyLightning2014141
JACK BECKERLightning2015156
JAYNEN RISSLINGLightning2012197
Jared MoeLightning2018185
Jordan SpenceLightning201988
Leevi MerilainenLightning2020102
Matt DonovanLightningLien
Matteson IacopelliLightning2014111
Maxim GroshevLightning2020110
Myles BellLightning201386
Niclas AlmariLightning2016183
Noah BeckLightning2020195
Ozzy WiestblattLightning202040
Patrick KudlaLightning2016153
Patrik SiikanenLightning2018199
Pontus HolmbergLightning2018169
Semyon Der-ArguchintsevLightning201875
Shane LaChanceLightning2021213
Timofey SpitserovLightning2020210
Tyson GallowayLightning2021181
Zach PochiroLightning2013116
Zachary BolducLightning202121

Choix au repêchage

Année R1R2R3R4R5R6R7R8
2022TAM TAM TAM TAM NSH TAM TAM TAM TAM
2023TAM TAM TAM TAM TAM TAM TAM TAM
2024TAM TAM TAM TAM TAM TAM TAM TAM
2025TAM TAM TAM TAM TAM TAM TAM TAM
2026TAM TAM TAM TAM TAM TAM TAM TAM




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[2021-09-19 16:42:00] - Mikko Koivu was released.
[2021-09-17 10:20:25] - Lightning drafts Shane LaChance as the #213 overall pick in the Entry Draft of year 2021.
[2021-09-17 10:18:37] - Hershey Bears hired Mike Yeo for 60 000 $ for 3 year(s).
[2021-09-15 14:20:35] - Lightning hired Darryl Sutter for 650 000 $ for 3 year(s).
[2021-09-13 15:37:30] - Lightning drafts Tyson Galloway as the #181 overall pick in the Entry Draft of year 2021.
[2021-09-09 19:58:00] - Brett Pollock has been deleted from Lightning.
[2021-09-09 19:57:45] - Maksim Sushko has been deleted from Lightning.
[2021-09-09 19:57:40] - Alexander Green has been deleted from Lightning.
[2021-09-09 19:57:35] - Devin Williams has been deleted from Lightning.
[2021-09-03 15:58:32] - TRADE : From Lightning to Rangers : Y:2021-RND:5-TAM.
[2021-09-03 15:58:32] - TRADE : From Rangers to Lightning : Michael Kesselring (55).
[2021-08-30 19:19:54] - Marian Studenic signed with Lightning for 750 000 $ for 1 year(s).
[2021-08-30 19:19:54] - Marian Studenic was added to Lightning.
[2021-08-30 19:19:37] - Nick DeSimone signed with Lightning for 750 000 $ for 1 year(s).
[2021-08-30 19:19:37] - Nick DeSimone was added to Lightning.



[2021-10-15 10:16:50] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2021-10-15 10:16:49] Jakob Silfverberg from Lightning is injured from Exhaustion.
[2021-10-15 10:09:37] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2021-10-14 16:50:39] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2021-10-11 19:52:23] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2021-10-07 13:03:15] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2021-10-06 11:51:19] Lightning lines for next game are empty. Current rosters/lines are not erased. But, Hershey Bears lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2021-10-04 19:19:18] Successfully loaded Lightning lines done with STHS Client - 3.2.7.7
[2021-10-04 19:19:18] Riley Stillman of Lightning was sent down to farm.



Jakob Silfverberg est dehors pour 1 jours à cause de Exhaustion.



Lightning Leaders statistiques (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

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

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

Lightning Leaders statistiques (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