Connexion

Lightnings
GP: 9 | W: 7 | L: 2 | OTL: 0 | P: 14
GF: 40 | GA: 26 | PP%: 24.24% | PK%: 85.71%
DG: Simon Bonneau | Morale : 50 | Moyenne d’équipe : 77
Prochain matchs #161 vs Red Wings
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Centre de jeu
Lightnings
7-2-0, 14pts
2
FINAL
4 Senateurs
7-1-2, 16pts
Team Stats
W1StreakOTL1
5-0-0Home Record4-1-0
2-2-0Away Record3-0-2
7-2-0Last 10 Games7-1-2
4.44Goals Per Game4.10
2.89Goals Against Per Game2.60
24.24%Power Play Percentage27.45%
85.71%Penalty Kill Percentage96.43%
Canadiens
4-5-1, 9pts
2
FINAL
6 Lightnings
7-2-0, 14pts
Team Stats
W1StreakW1
1-3-0Home Record5-0-0
3-2-1Away Record2-2-0
4-5-1Last 10 Games7-2-0
3.50Goals Per Game4.44
3.90Goals Against Per Game2.89
15.63%Power Play Percentage24.24%
56.25%Penalty Kill Percentage85.71%
Lightnings
7-2-0, 14pts
2022-08-02
Red Wings
3-5-0, 6pts
Statistiques d’équipe
W1SéquenceW1
5-0-0Fiche domicile3-2-0
2-2-0Fiche visiteur0-3-0
7-2-010 derniers matchs3-5-0
4.44Buts par match 2.13
2.89Buts contre par match 3.38
24.24%Pourcentage en avantage numérique21.05%
85.71%Pourcentage en désavantage numérique79.49%
Red Wings
3-5-0, 6pts
2022-08-03
Lightnings
7-2-0, 14pts
Statistiques d’équipe
W1SéquenceW1
3-2-0Fiche domicile5-0-0
0-3-0Fiche visiteur2-2-0
3-5-010 derniers matchs7-2-0
2.13Buts par match 4.44
3.38Buts contre par match 2.89
21.05%Pourcentage en avantage numérique24.24%
79.49%Pourcentage en désavantage numérique85.71%
Lightnings
7-2-0, 14pts
2022-08-04
Sabres
6-5-0, 12pts
Statistiques d’équipe
W1SéquenceW1
5-0-0Fiche domicile4-1-0
2-2-0Fiche visiteur2-4-0
7-2-010 derniers matchs6-4-0
4.44Buts par match 3.36
2.89Buts contre par match 3.73
24.24%Pourcentage en avantage numérique19.64%
85.71%Pourcentage en désavantage numérique77.50%
Meneurs d'équipe
Buts
Nick Suzuki
7
Passes
Evgeny Kuznetsov
8
Points
Nick Suzuki
13
Plus/Moins
Haydn Fleury
9
Victoires
Andrei Vasilevskiy
4
Pourcentage d’arrêts
Andrei Vasilevskiy
0.924

Statistiques d’équipe
Buts pour
40
4.44 GFG
Tirs pour
301
33.44 Avg
Pourcentage en avantage numérique
24.2%
8 GF
Début de zone offensive
41.0%
Buts contre
26
2.89 GAA
Tirs contre
282
31.33 Avg
Pourcentage en désavantage numérique
85.7%
4 GA
Début de la zone défensive
39.0%
Information d’équipe

Directeur généralSimon Bonneau
EntraîneurJoel Quenneville
DivisionATLANTIQUE
ConférenceEST
CapitaineVictor Hedman
Assistant #1Artemi Panarin
Assistant #2David Perron


Informations de l’aréna

NomAmalie Arena
Capacité17,000
Assistance0
Billets de saison6,800


Information formation

Équipe Pro24
Équipe Mineure25
Limite contact 49 / 55
Espoirs17


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible82,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel22,354,551$
Compte bancaire projeté22,354,551$


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
1Artemi Panarin (A)0X100.005634948469909391589577628675740508103026,282,000$
2Evgeny Kuznetsov0X100.005736818482909382818374697875740508003046,094,000$
3Timo Meier0X100.007736817881889076617980637768710507902522,954,000$
4Vincent Trocheck0X100.008639777667889075897875777674720507902935,223,000$
5Nick Suzuki0X100.006735877773909278837974727664720507802351,325,833$
6David Perron (A)0X100.006436827378889178588277657886760507803425,468,000$
7Travis Zajac0X100.007135916377868968877066846586780507603714,509,000$
8Josh Bailey0X100.005835957276889077637869667186740507603244,507,000$
9Rickard Rakell0X100.007135947577888576627473667774710507602935,438,000$
10Carl Hagelin0X100.005637897571848668546563816981750507403431,612,000$
11Isac Lundestrom0X100.00623588677386896581636882666465050730224925,000$
12Brett Connolly0X100.007339816683877467596568636473710507203011,310,000$
13Victor Hedman (C)0X100.006639847699939275309177835983760508303147,750,000$
14Ryan Ellis0X100.006636897567918276308372855978770507903124,915,000$
15Shea Theodore0X100.00563691828093907730857364596974050780275711,000$
16Patrik Nemeth0X100.007738836192888759306758815073720507403033,000,000$
17Chad Ruhwedel0X100.00773491637286845930675878507372050720322937,500$
18Haydn Fleury0X100.007334926985868265306264725367690507202621,625,000$
Rayé
1Valtteri Filppula0X100.005836876572858667806964736587780507203811,000,000$
2Travis Boyd0X100.006134896972858867816870646669700507202911,000,000$
3Mathieu Perreault0X100.007334926570798267696667656881740507103412,515,000$
4Jake McCabe0X100.008442796478918263307460855172690507502843,559,000$
Équipe Mineure
1John Leonard0X100.006236856672848667636765596866640506902411,137,500$
2Kyle Criscuolo0X100.006335776669837663746759566470720506803011,183,000$
3Gabriel Dumont0X100.00625374626980836173656661637277050680312909,000$
4Stefan Matteau0X100.00784479598278665771605864566870050670282850,000$
5Lane Pederson0X100.00683681627482796076626159636667050670253700,000$
6Pierre-Cedric Labrie0X100.00804372538969845457555659557678050660351750,000$
7Dennis Yan0X100.00683476547781835552565758546567050650252846,000$
8Pavel Gogolev0X100.006337926072716258625960565962640506402221,700,000$
9Brandon Gignac0X100.005736926166827659636058576165670506402431,392,000$
10Nathan Schnarr (R)0X100.00737079687067715468574661444444050630231894,167$
11Carson Focht0X100.00633771586973745763565554586264050620222883,333$
12Chad Yetman0X100.00593691586869635651575453566264050610221750,000$
13Gabriel Carlsson0X100.00743894638879746230716067526567050710251888,000$
14Libor Hajek0X100.007131846685807463306459675364660507002441,092,656$
15Noah Juulsen0X100.00793687638183795930665967506567050700254937,500$
16Kale Clague0X100.00613681697285776730735960526466050690244961,652$
17Jacob Moverare0X100.007239916085827659306256654964660506802441,228,000$
18Chris Bigras0X100.00673987587666715730565554466769050630271891,000$
19Alexandre Fortin0X100.00623793577178665653545552576567050620252700,000$
20Jack Dougherty0X100.00613894598061685630545254456668050620262862,000$
MOYENNE D’ÉQUIPE100.0067388667768281665568646661707005071
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
1Andrei Vasilevskiy100.00979590889695979695979676810509402826,496,000$
2James Reimer100.00908579848988908988908982880508903412,000,000$
Rayé
Équipe Mineure
1Christopher Gibson100.00757170847473757473757470840507702921,464,000$
2Spencer Martin100.00767877827574767574767567770507702711,200,000$
3Veini Vehvilainen100.00708280716968706968706967710507202521,300,000$
4Jack LaFontaine100.00707170816968706968706964710507202411,000,000$
5Hugo Alnefelt100.0065727376646365646365646165050680213925,000$
MOYENNE D’ÉQUIPE100.007879778177767877767877707705078
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville82869175958949CAN6450$


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
1Nick SuzukiLightningsC976135006142772225.93%215617.401126130001113153.40%10300001.6600000111
2Evgeny KuznetsovLightningsC93811-20012243071810.00%019421.590553250001120051.29%23200001.1300000020
3David PerronLightningsLW946107005829122213.79%115617.341016260001131050.00%1400001.2800000000
4Vincent TrocheckLightningsC8641042027223551817.14%114918.74112824000060050.53%19000001.3300000110
5Artemi PanarinLightningsLW9369-100716317229.68%219922.161342270000101044.44%2700000.9000000000
6Victor HedmanLightningsD92791601120231198.70%1622625.112021225000123100.00%000000.8000000100
7Shea TheodoreLightningsD8088060669270.00%416320.4703362400009000.00%000000.9800000001
8Ryan EllisLightningsD9077-4801615116150.00%1221724.20022725000023000.00%000000.6400000000
9Rickard RakellLightningsRW9437600761981121.05%315617.42101324000001033.33%1500000.8900000100
10Travis ZajacLightningsC9336340617104630.00%3899.94000000000120064.23%13700001.3400000010
11Timo MeierLightningsRW5145-280125143117.14%08917.80011310000010025.00%800001.1200000100
12Patrik NemethLightningsD93145100167102430.00%916117.98101516000023000.00%000000.4900000000
13Chad RuhwedelLightningsD913474010460416.67%1214015.6000000000013000.00%000000.5700000100
14Carl HagelinLightningsLW912330048164116.25%211612.95000000001140033.33%300000.5100000001
15Haydn FleuryLightningsD90339201263130.00%514015.640000000004000.00%000000.4300000000
16Brett ConnollyLightningsRW911236012064516.67%010411.6600000000000028.57%700000.3800000001
17Jake McCabeLightningsD1022100122120.00%02121.280002200003000.00%000001.8800000000
18Isac LundestromLightningsC91011203471614.29%0515.68000000000130037.88%6600000.3900000000
19Josh BaileyLightningsRW90112204413340.00%011612.97000015000030042.86%1400000.1700000000
20Travis BoydLightningsC5000000000000.00%000.040000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1624075115486001771883018820013.29%72265216.38816246326400052027151.23%81600000.8700000654
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
1Andrei VasilevskiyLightnings54100.9242.4030000121570000.000054001
2James ReimerLightnings43100.8883.4724200141250000.000045000
Statistiques d’équipe totales ou en moyenne97200.9082.8854200262820000.000099001


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 Salaire restantSalaire moyenPlafond 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
Andrei VasilevskiyLightningsG281994-07-25No225 Lbs6 ft3NoNoNo2Pro & Farm6,496,000$6,496,000$525,000$6,496,000$6,496,000$No6,496,000$Lien
Artemi PanarinLightningsLW301991-10-30No175 Lbs6 ft0NoNoNo2Pro & Farm6,282,000$6,282,000$3,500,000$6,282,000$6,282,000$No6,282,000$Lien
Brett ConnollyLightningsRW301992-05-02No198 Lbs6 ft3NoNoNo1Pro & Farm1,310,000$1,310,000$525,000$1,310,000$1,310,000$NoLien
Carl HagelinLightningsLW341988-08-23No183 Lbs6 ft0NoNoNo3Pro & Farm1,612,000$1,612,000$1,612,000$1,612,000$No1,612,000$1,612,000$Lien
Chad RuhwedelLightningsD321990-05-07No191 Lbs5 ft11NoNoYes2Pro & Farm937,500$937,500$650,000$937,500$937,500$No937,500$Lien
David PerronLightningsLW341988-05-28No202 Lbs6 ft1NoNoNo2Pro & Farm5,468,000$5,468,000$5,468,000$5,468,000$No5,468,000$Lien
Evgeny KuznetsovLightningsC301992-05-19No207 Lbs6 ft2NoNoNo4Pro & Farm6,094,000$6,094,000$5,122,000$6,094,000$6,094,000$No5,586,000$4,570,000$4,062,000$Lien
Haydn FleuryLightningsD261996-07-08No208 Lbs6 ft3NoNoNo2Pro & Farm1,625,000$1,625,000$700,000$1,625,000$1,625,000$No1,625,000$Lien
Isac LundestromLightningsC221999-11-06No193 Lbs6 ft0NoNoNo4Pro & Farm925,000$925,000$925,000$925,000$925,000$No2,250,000$2,250,000$2,250,000$Lien
Jake McCabeLightningsD281993-10-12No204 Lbs6 ft1NoNoNo4Pro & Farm3,559,000$3,559,000$3,320,600$3,559,000$3,559,000$No3,559,000$3,559,000$3,559,000$Lien
James ReimerLightningsG341988-03-15No205 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$650,000$2,000,000$2,000,000$NoLien
Josh BaileyLightningsRW321989-10-02No200 Lbs6 ft1NoNoNo4Pro & Farm4,507,000$4,507,000$4,028,800$4,507,000$4,507,000$No4,507,000$4,507,000$4,507,000$Lien
Mathieu PerreaultLightningsC341988-01-05No189 Lbs5 ft10NoNoNo1Pro & Farm2,515,000$2,515,000$2,515,000$2,515,000$NoLien
Nick SuzukiLightningsC231999-08-10No205 Lbs5 ft11NoNoNo5Pro & Farm1,325,833$1,325,833$863,335$1,325,833$1,325,833$No5,466,000$5,466,000$5,466,000$5,466,000$Lien
Patrik NemethLightningsD301992-02-08No230 Lbs6 ft4NoNoNo3Pro & Farm3,000,000$3,000,000$650,000$3,000,000$3,000,000$No3,000,000$3,000,000$Lien
Rickard RakellLightningsRW291993-05-05No195 Lbs6 ft1NoNoNo3Pro & Farm5,438,000$5,438,000$525,000$5,438,000$5,438,000$No5,438,000$5,438,000$Lien
Ryan EllisLightningsD311991-01-03No180 Lbs5 ft10NoNoNo2Pro & Farm4,915,000$4,915,000$4,915,000$4,915,000$No4,915,000$Lien
Shea TheodoreLightningsD271995-08-03No197 Lbs6 ft2NoNoNo5Pro & Farm711,000$711,000$863,000$711,000$711,000$No3,633,000$3,633,000$3,633,000$3,633,000$Lien
Timo MeierLightningsRW251996-10-08No220 Lbs6 ft1NoNoNo2Pro & Farm2,954,000$2,954,000$1,100,000$2,954,000$2,954,000$No2,585,000$Lien
Travis BoydLightningsC291993-09-14No190 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$800,000$1,000,000$1,000,000$NoLien
Travis ZajacLightningsC371985-05-13No185 Lbs6 ft2NoNoNo1Pro & Farm4,509,000$4,509,000$650,000$4,509,000$4,509,000$NoLien
Valtteri FilppulaLightningsC381984-03-20No189 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$NoLien
Victor HedmanLightningsD311990-12-18No241 Lbs6 ft6NoNoNo4Pro & Farm7,750,000$7,750,000$7,731,000$7,750,000$7,750,000$No7,750,000$7,750,000$7,750,000$Lien
Vincent TrocheckLightningsC291993-07-11No183 Lbs5 ft10NoNoNo3Pro & Farm5,223,000$5,223,000$525,000$5,223,000$5,223,000$No5,223,000$5,223,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2430.13200 Lbs6 ft12.583,381,514$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
81,156,333$76,332,500$47,008,000$31,227,000$9,099,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinEvgeny KuznetsovTimo Meier32014
2Rickard RakellVincent TrocheckNick Suzuki29023
3David PerronTravis ZajacBrett Connolly22023
4Carl HagelinIsac LundestromJosh Bailey17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanHaydn Fleury36023
2Ryan EllisShea Theodore34023
3Chad RuhwedelPatrik Nemeth20032
4Victor HedmanChad Ruhwedel10041
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinVincent TrocheckDavid Perron53005
2Rickard RakellEvgeny KuznetsovTimo Meier47005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shea TheodoreNick Suzuki53005
2Victor HedmanRyan Ellis47014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Isac LundestromCarl Hagelin50041
2Travis ZajacDavid Perron50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrik NemethRyan Ellis52041
2Victor HedmanChad Ruhwedel48041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Isac Lundestrom50050Victor HedmanShea Theodore50050
2Josh Bailey50050Patrik NemethChad Ruhwedel50041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick SuzukiArtemi Panarin50023
2Evgeny KuznetsovJosh Bailey50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanPatrik Nemeth50122
2Chad RuhwedelRyan Ellis50131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David PerronArtemi PanarinEvgeny KuznetsovVictor HedmanVincent Trocheck
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carl HagelinTravis ZajacJosh BaileyRyan EllisPatrik Nemeth
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeny Kuznetsov, Artemi Panarin, Brett ConnollyEvgeny Kuznetsov, Artemi PanarinJosh Bailey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Ellis, Victor Hedman, Shea TheodoreVictor HedmanRyan Ellis, Victor Hedman
Tirs de pénalité
Evgeny Kuznetsov, Artemi Panarin, Nick Suzuki, Vincent Trocheck, David Perron
Gardien
#1 : James Reimer, #2 : Andrei Vasilevskiy
Lignes d’attaque personnalisées en prolongation
Timo Meier, Evgeny Kuznetsov, Artemi Panarin, Nick Suzuki, Josh Bailey, Travis Zajac, Travis Zajac, Vincent Trocheck, Carl Hagelin, Rickard Rakell, David Perron
Lignes de défense personnalisées en prolongation
Victor Hedman, Ryan Ellis, Shea Theodore, Patrik Nemeth, Haydn Fleury


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
1Canadiens220000001138110000006241100000051441.000112132007310783724170621712438337.50%4175.00%018233154.98%15331548.57%8316251.23%493447132311
2Maple Leafs21100000651110000004131010000024-220.5006111700213062162323046146389111.11%3166.67%018233154.98%15331548.57%8316251.23%523743142412
3Panthers22000000963110000005321100000043141.00091726002520651928180792114356233.33%70100.00%018233154.98%15331548.57%8316251.23%473348142411
4Sabres11000000633110000006330000000000021.000611170021302195702438304125.00%40100.00%018233154.98%15331548.57%8316251.23%2416228136
5Senateurs2010100089-1100010006511010000024-220.50081523002321752424225711720316116.67%10280.00%018233154.98%15331548.57%8316251.23%503649132311
Total96201000402614540010002714134220000013121140.7784075115001513111301105104875282726017733824.24%28485.71%018233154.98%15331548.57%8316251.23%2231582116410853
_Since Last GM Reset96201000402614540010002714134220000013121140.7784075115001513111301105104875282726017733824.24%28485.71%018233154.98%15331548.57%8316251.23%2231582116410853
_Vs Conference96201000402614540010002714134220000013121140.7784075115001513111301105104875282726017733824.24%28485.71%018233154.98%15331548.57%8316251.23%2231582116410853
_Vs Division96201000402614540010002714134220000013121140.7784075115001513111301105104875282726017733824.24%28485.71%018233154.98%15331548.57%8316251.23%2231582116410853

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
914W14075115301282726017700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
96210004026
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
54010002714
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42200001312
Derniers 10 matchs
WLOTWOTL SOWSOL
720000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33824.24%28485.71%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
1051048751513111
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
18233154.98%15331548.57%8316251.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2231582116410853


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 - 2022-07-179Panthers3Lightnings5BWSommaire du match
2 - 2022-07-1820Lightnings4Panthers3AWSommaire du match
4 - 2022-07-2040Maple Leafs1Lightnings4BWSommaire du match
6 - 2022-07-2255Lightnings5Canadiens1AWSommaire du match
8 - 2022-07-2472Lightnings2Maple Leafs4ALSommaire du match
9 - 2022-07-2584Sabres3Lightnings6BWSommaire du match
11 - 2022-07-27105Senateurs5Lightnings6BWXSommaire du match
12 - 2022-07-28122Lightnings2Senateurs4ALSommaire du match
14 - 2022-07-30133Canadiens2Lightnings6BWSommaire du match
17 - 2022-08-02161Lightnings-Red Wings-
18 - 2022-08-03177Red Wings-Lightnings-
19 - 2022-08-04185Lightnings-Sabres-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05196Lightnings-Bruins-
22 - 2022-08-07212Bruins-Lightnings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50004000300040001000
Prix des billets115654525250
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
2 0 - 0.00% 0$0$17000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 81,156,333$ 34,653,735$ 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$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 22,354,551$ 22,354,551$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 82,500,000$ 82,500,000$ -60,500,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Artemi PanarinAGE:30PO:0OV:81
David PerronAGE:34PO:0OV:78
Carl HagelinAGE:34PO:0OV:74
John LeonardAGE:24PO:0OV:69
Pierre-Cedric LabrieAGE:35PO:0OV:66
Dennis YanAGE:25PO:0OV:65
Pavel GogolevAGE:22PO:0OV:64
Brandon GignacAGE:24PO:0OV:64
Alexandre FortinAGE:25PO:0OV:62
Evgeny KuznetsovAGE:30PO:0OV:80
Vincent TrocheckAGE:29PO:0OV:79
Nick SuzukiAGE:23PO:0OV:78
Travis ZajacAGE:37PO:0OV:76
Isac LundestromAGE:22PO:0OV:73
Valtteri FilppulaAGE:38PO:0OV:72
Travis BoydAGE:29PO:0OV:72
Mathieu PerreaultAGE:34PO:0OV:71
Kyle CriscuoloAGE:30PO:0OV:68
Gabriel DumontAGE:31PO:0OV:68
Stefan MatteauAGE:28PO:0OV:67
Lane PedersonAGE:25PO:0OV:67
Nathan Schnarr (R)AGE:23PO:0OV:63
Carson FochtAGE:22PO:0OV:62
Timo MeierAGE:25PO:0OV:79
Josh BaileyAGE:32PO:0OV:76
Rickard RakellAGE:29PO:0OV:76
Brett ConnollyAGE:30PO:0OV:72
Chad YetmanAGE:22PO:0OV:61

Défense #1Défense #2Gardien
Victor HedmanAGE:31PO:0OV:83
Ryan EllisAGE:31PO:0OV:79
Shea TheodoreAGE:27PO:0OV:78
Jake McCabeAGE:28PO:0OV:75
Patrik NemethAGE:30PO:0OV:74
Chad RuhwedelAGE:32PO:0OV:72
Haydn FleuryAGE:26PO:0OV:72
Gabriel CarlssonAGE:25PO:0OV:71
Libor HajekAGE:24PO:0OV:70
Noah JuulsenAGE:25PO:0OV:70
Kale ClagueAGE:24PO:0OV:69
Jacob MoverareAGE:24PO:0OV:68
Chris BigrasAGE:27PO:0OV:63
Jack DoughertyAGE:26PO:0OV:62
Andrei VasilevskiyAGE:28PO:0OV:94
James ReimerAGE:34PO:0OV:89
Christopher GibsonAGE:29PO:0OV:77
Spencer MartinAGE:27PO:0OV:77
Veini VehvilainenAGE:25PO:0OV:72
Jack LaFontaineAGE:24PO:0OV:72
Hugo AlnefeltAGE:21PO:0OV:68

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
Ayrton MartinoLightnings202259
Bear HuguesLightnings2021177
Chase MclaneLightnings2021213
Clayton PhillipsLightnings2018161
Hank KempfLightnings2022219
Jack BarLightnings2022111
Jackson BlakeLightnings202260
Jaromir PytlickLightnings2021105
Joe VrbeticLightnings2022117
Kirill GorasinyukLightnings2022181
Luke ProkopLightnings202173
Noah EllisLightnings2021202
Sean TschigerlLightnings202287
Ty MurchisonLightnings2022187
William Worge-KreuLightnings2019199
Yegor NaumovLightnings2022213
Zayde WisdomLightnings202171

Choix au repêchage

Année R1R2R3R4R5R6R7
2023
2024
2025
2026
2027






[2022-08-30 21:56:37] - Veini Vehvilainen signed with Lightnings for 1 300 000 $ for 2 year(s).
[2022-08-30 21:56:37] - Veini Vehvilainen was added to Lightnings.
[2022-08-30 16:37:44] - Valtteri Filppula signed with Lightnings for 1 000 000 $ for 1 year(s).
[2022-08-30 16:37:44] - Valtteri Filppula was added to Lightnings.
[2022-08-30 16:14:43] - TRADE : From Lightnings to Penguins : Richard Panik (70), Y:2023-RND:7-TAM.
[2022-08-30 16:14:19] - TRADE : From Penguins to Lightnings : Brett Connolly (72), Christopher Gibson (77), Kyle Criscuolo (68), Pierre-Cedric Labrie (66), Stefan Matteau (67).
[2022-08-24 17:24:55] - Joshua Anderson was released.
[2022-08-24 17:24:55] - Lightnings paid 0 $ to release Joshua Anderson.
[2022-08-24 17:22:32] - Lean Bergmann was released.
[2022-08-24 17:22:32] - Lightnings paid 0 $ to release Lean Bergmann.
[2022-07-17 19:58:25] - Ryan Miller was released.
[2022-06-24 08:01:36] - TRADE : From Lightnings to Bruins : Tyler Johnson (72), Y:2023-RND:4-TAM.
[2022-06-24 08:01:36] - TRADE : From Bruins to Lightnings : Haydn Fleury (72), Y:2023-RND:6-BOS.
[2022-06-19 17:47:08] - Donovan Sebrango was released by Lightnings
[2022-06-19 11:35:19] - Kirill Gorasinyuk has been added to Lightnings.



[2022-09-16 16:48:23] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-14 16:12:21] Auto Lines Function has been run for Lightnings.
[2022-09-14 16:12:21] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-14 16:12:21] Auto Lines Partial Function has been run for Lightnings.
[2022-09-14 16:12:21] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-12 16:05:37] Auto Lines Function has been run for Lightnings.
[2022-09-12 16:05:37] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-12 16:05:37] Auto Lines Partial Function has been run for Lightnings.
[2022-09-12 16:05:37] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-11 15:59:13] Auto Lines Function has been run for Lightnings.
[2022-09-11 15:59:13] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-11 15:59:13] Auto Lines Partial Function has been run for Lightnings.
[2022-09-11 15:59:13] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:41:47] Auto Lines Function has been run for Lightnings.
[2022-09-09 16:41:47] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:41:47] Auto Lines Partial Function has been run for Lightnings.
[2022-09-09 16:41:47] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:41:31] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-09 16:38:06] Auto Lines Function has been run for Lightnings.
[2022-09-09 16:38:06] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:38:06] Auto Lines Partial Function has been run for Lightnings.
[2022-09-09 16:38:06] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:37:58] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-09 16:37:29] Auto Lines Function has been run for Lightnings.
[2022-09-09 16:37:29] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:37:29] Auto Lines Partial Function has been run for Lightnings.
[2022-09-09 16:37:29] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-09 16:37:13] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-08 16:23:35] Auto Lines Function has been run for Lightnings.
[2022-09-08 16:23:34] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-08 16:23:34] Auto Lines Partial Function has been run for Lightnings.
[2022-09-08 16:23:34] Lightnings lines errors : Rickard Rakell is used twice in OT Forward
[2022-09-07 16:02:37] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-07 15:46:31] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-07 05:51:49] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-06 21:16:05] Successfully loaded Lightnings lines done with Web Base Client and SQLite Database.
[2022-09-06 21:16:05] Veini Vehvilainen of Lightnings was sent to farm.
[2022-09-06 21:16:05] Isac Lundestrom of Lightnings was sent to pro.
[2022-09-06 21:16:05] Stefan Matteau of Lightnings was sent down to farm.



Pas de blessure ou de suspension.


Lightnings 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

Lightnings 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

Lightnings Statistiques de l'Équipe de Carrière


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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

Lightnings 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

Lightnings 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