Connexion

Lightning
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Erick Brais | Morale : 70 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralErick Brais
DivisionMetropolitaine
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure18
Limite contact 32 / 60
Espoirs85


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique77-66-16 (0.484%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)4-7
Coupe Stanley0


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
1Matt MartinX100.00907581709071946970636565678383088690331900,000$
2Yegor Chinakhov (R)XX100.00676094787474827570646763715555083680212900,000$
3Jonas Rondbjerg (R)XX100.006460967076686067706565806655550906702331,300,000$
4Jack Studnicka (R)XX100.00666097747075606884646273655555090660231900,000$
5Vitali Kravtsov (R)XX100.00636095727574606470646766665555090650221900,000$
6Niko MikkolaX100.007760827080737466506667796755550877002631,500,000$
7Markus NiemelainenX100.009760957090666065506260786355550906902431,300,000$
8Gustav Lindstrom (R)X100.00696093707673776750696275655555090690231900,000$
9Victor Soderstrom (R)X100.00686091757060607350606069675555082650212900,000$
Rayé
MOYENNE D’ÉQUIPE100.0073629272787070686364647266585808868
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
1Scott Wedgewood100.00798081828476728481717274760907623011,900,000$
2Ukko-Pekka Luukkonen (R)100.0074697392696962697169697069090692233900,000$
Rayé
1Daniil Tarasov (R)100.0074647090646460647064646464090662233900,000$
2Pyotr Kochetkov (R)100.0085637072636363636563636364090652233900,000$
3Justus Annunen (R)100.0074626589626261626582626263090652223900,000$
MOYENNE D’ÉQUIPE100.007768728568676468707066676709068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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
Daniil TarasovLightning (TBL)G231999-03-27Yes196 Lbs6 ft6NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Gustav LindstromLightning (TBL)D231998-10-20Yes196 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Jack StudnickaLightning (TBL)C/RW231999-02-18Yes171 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Jonas RondbjergLightning (TBL)LW/RW231999-03-31Yes197 Lbs6 ft2NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Justus AnnunenLightning (TBL)G222000-03-11Yes210 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Markus NiemelainenLightning (TBL)D241998-06-08No190 Lbs6 ft6NoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Matt MartinLightning (TBL)LW331989-05-08No220 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Niko MikkolaLightning (TBL)D261996-04-27No185 Lbs6 ft4NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
Pyotr KochetkovLightning (TBL)G231999-06-25Yes176 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Scott WedgewoodLightning (TBL)G301992-08-14No207 Lbs6 ft2NoNoNo1Pro & Farm1,900,000$0$0$NoLien
Ukko-Pekka LuukkonenLightning (TBL)G231999-03-09Yes217 Lbs6 ft5NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Victor SoderstromLightning (TBL)D212001-02-26Yes179 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Vitali KravtsovLightning (TBL)LW/RW221999-12-23Yes189 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Yegor ChinakhovLightning (TBL)LW/RW212001-02-01Yes189 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1424.07194 Lbs6 ft32.141,071,429$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt MartinJack StudnickaYegor Chinakhov40122
2Jonas RondbjergVitali Kravtsov30122
320122
4Yegor ChinakhovMatt MartinJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niko MikkolaGustav Lindstrom40122
2Markus Niemelainen30122
3Victor Soderstrom20122
4Niko MikkolaGustav Lindstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt MartinJack StudnickaYegor Chinakhov60122
2Jonas RondbjergVitali Kravtsov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niko MikkolaGustav Lindstrom60122
2Markus Niemelainen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matt MartinYegor Chinakhov60122
2Jonas RondbjergJack Studnicka40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niko MikkolaGustav Lindstrom60122
2Markus Niemelainen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Martin60122Niko MikkolaGustav Lindstrom60122
2Yegor Chinakhov40122Markus Niemelainen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt MartinYegor Chinakhov60122
2Jonas RondbjergJack Studnicka40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niko MikkolaGustav Lindstrom60122
2Markus Niemelainen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt MartinJack StudnickaYegor ChinakhovNiko MikkolaGustav Lindstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt MartinJack StudnickaYegor ChinakhovNiko MikkolaGustav Lindstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vitali Kravtsov, Jack Studnicka, Jonas RondbjergVitali Kravtsov, Jack StudnickaJonas Rondbjerg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Soderstrom, Markus Niemelainen, Victor SoderstromMarkus Niemelainen,
Tirs de pénalité
Matt Martin, Yegor Chinakhov, Jonas Rondbjerg, Jack Studnicka, Vitali Kravtsov
Gardien
#1 : Scott Wedgewood, #2 : Ukko-Pekka Luukkonen


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,500,000$ 1,500,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
1Alexander Nylander153649716130391333726729.52%44351422.9792231104224144346.0420.92413
2Isac Lundestrom119406110116321392864349.22%39233119.591010206000086258.2120.8724
3Victor Rask82394180274215231230512.79%26173221.13712194900055260.6010.9215
4Barrett Hayton136354580302412822632810.67%40167412.311231300008154.0710.9600
5Brendan Perlini7931477832521951893209.69%31171921.77513185600025240.6710.9112

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
1Anders Nilsson804128110.9113.15476420325028000330.60030
2Casey DeSmith3827820.9152.6622772210111850110.58312
3Igor Shesterkin41010.9462.302090081490200.00%0
4Jonas Johansson10010.9133.7532002230000.00%0

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
Saison régulière
48235280463629926732411517035101511381341201101126148129199629953883733115888914289992197097863295286367821132986321.14%3036977.23%11497285452.45%1519306949.49%688135650.74%1995140219575901030514
202182283804732295345-5041191602112158159-14192202620137186-497929551380832114977712328110701061111055296387155620462846322.18%2456673.06%31644311652.76%1370265751.56%726141151.45%2087149218575721029527
Total Saison régulière1646366081368594612-18823433056223092971282293303746285315-301755941051164565229185166266180199120312088118591517341234415958212621.65%54813575.36%43141597052.61%2889572650.45%1414276751.10%408228953815116320601042
Séries éliminatoires
41147000004142-1505000001621-56420000025214841741150013151303911341231132148813168326671420.90%29582.76%013440433.17%14349129.12%6419932.16%2561752968414370
Total Séries éliminatoires1147000004142-1505000001621-56420000025214841741150013151303911341231132148813168326671420.90%29582.76%013440433.17%14349129.12%6419932.16%2561752968414370

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
1Alexander Nylander116915-1015314114.63%629026.402351300010033.3301.0300
2Brendan Perlini116612-21254295211.54%423121.022351300001044.8301.0400
3Dmitry Kulikov1139124647252711.11%1829226.58224180000000.00%00.8200
4Dennis Cholowski1148124624164010.00%2328826.25213270000200.00%00.8300
5Janne Kuokkanen113811-663626387.89%423621.471341400000055.5600.9300

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
1Anders Nilsson114520.9143.6369400424880200.00%0