Tampa Bay Lightning

GP: 16 | W: 8 | L: 7 | OTL: 1 | P: 17
GF: 50 | GA: 50 | PP%: 27.45% | PK%: 82.35%
DG: Stéphane Lacasse | Morale : 50 | Moyenne d'Équipe : 71
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Jamie BennX100.007653738382839182797881778078875659770
2Ryan Getzlaf (C)X100.008553697291858076828669736884915254740
3Matt DucheneX100.005936908671858684827980588375697454730
4Justin Williams (A)X100.006640767475839573667672647388903654710
5Lars EllerX100.006844836982819467837168806978716854700
6Brett ConnollyX100.006838847082739468546973627175727554680
7Tyler BertuzziX100.007350777072818668567571637267687054680
8Adrian KempeXX100.007442757081779468746967597167657954670
9Jay BeagleXX100.007938876285757161836459825884742554670
10Nic DowdXX100.008138826480677763766261756377724054660
11Drake CaggiulaXX100.008651786666797364716369656771675252650
12Brendan PerliniXX100.006939836786698166546270586965638454640
13Jordie BennX100.008045836380859461307162805380732754720
14Charlie McAvoyX100.008448697577896773307969775763658454720
15Brady SkjeiX100.008441786986879168307364725569667754710
16Marc-Edouard Vlasic (A)X100.005436866878878367307666835480724754710
17Neal PionkX100.008455806972878668307762785367654354710
18Adam McQuaidX100.008754636188816359306458815382744254700
Rayé
MOYENNE D'ÉQUIPE100.00754579708081846958726872657572575470
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Mike Smith100.00928987939190929190929187912249880
2Curtis McElhinney100.00858280818483858483858486902454820
Rayé
MOYENNE D'ÉQUIPE100.0089868487888789888789888791235285
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette78938384817667USA5444,500,000$


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'ÉquipePOS GP 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
1Jamie BennTampa Bay LightningLW1698170231543399732679.28%737123.2414519460003482045.28%5300000.9101102121
2Brady SkjeiTampa Bay LightningD1641216-820321828112314.29%2138924.363361545000018000.00%000100.8200000200
3Charlie McAvoyTampa Bay LightningD1651116-8200382348221510.42%2638123.842462745000013000.00%000000.8400000022
4Ryan GetzlafTampa Bay LightningC1677141100363760174211.67%030819.2721311460001111055.83%41200000.9101000201
5Matt DucheneTampa Bay LightningC1667131003496922458.70%131319.61213935000150051.49%47000000.8301000010
6Justin WilliamsTampa Bay LightningRW16381160014214914406.12%330819.290441040000151148.15%2700000.7111000020
7Neal PionkTampa Bay LightningD1628101401322214129.52%1625115.69101716000228000.00%000000.8000000000
8Marc-Edouard VlasicTampa Bay LightningD16088220424249150.00%3434621.650441237000044000.00%000000.4600000000
9Tyler BertuzziTampa Bay LightningLW162461202193910255.13%126016.28000821000000150.00%1600000.4600000100
10Adrian KempeTampa Bay LightningC/LW16055-11001110219300.00%117611.0400000000080065.62%3200000.5700000000
11Brett ConnollyTampa Bay LightningRW16235-360148217159.52%227116.97213533000001083.33%1800000.3700000001
12Lars EllerTampa Bay LightningC164040208322381917.39%421013.17000010001420054.81%31200000.3800000001
13Brendan PerliniTampa Bay LightningLW/RW16202-1201341741411.76%220412.78000424000021044.44%1800000.2000000001
14Drake CaggiulaTampa Bay LightningC/LW12112-4004311249.09%2887.3500000000000040.00%500000.4500000000
15Jordie BennTampa Bay LightningD1611222754513162136.25%2731219.54101421000031100.00%000000.1300000000
16Adam McQuaidTampa Bay LightningD16101080251083912.50%2124715.4700000000040010.00%000000.0800000000
17Nic DowdTampa Bay LightningC/RW16011-720799290.00%21227.66000000001180033.33%300000.1600000000
18Jay BeagleTampa Bay LightningC/LW16000-70052018290.00%11398.69000000003330056.79%16200000.0000000000
19Nicolas DeslauriersCrunch (Tam)LW/RW4000-340122120.00%0205.0900000000000050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne2884984133-28124203373535811814088.43%171472516.41142236131417000133537354.12%153000100.5614102677
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
1Mike SmithTampa Bay Lightning115510.9033.2963820353600000.0000115000
2Curtis McElhinneyTampa Bay Lightning63200.9202.7432821151870001.0004511100
Stats d'équipe Total ou en Moyenne178710.9093.1096741505470001.00041616100


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam McQuaidTampa Bay LightningD321986-10-12No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,100,000$2,100,000$2,100,000$NoLien
Adrian KempeTampa Bay LightningC/LW221996-09-13No201 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Brady SkjeiTampa Bay LightningD251994-03-26No214 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Brendan PerliniTampa Bay LightningLW/RW231996-04-27No211 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm900,000$900,000$900,000$NoLien
Brett ConnollyTampa Bay LightningRW271992-05-02No195 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Charlie McAvoyTampa Bay LightningD211997-12-21No208 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Curtis McElhinneyTampa Bay LightningG361983-05-23No203 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,800,000$2,800,000$2,800,000$NoLien
Drake CaggiulaTampa Bay LightningC/LW251994-06-20No176 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Jamie BennTampa Bay LightningLW291989-07-18No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Jay BeagleTampa Bay LightningC/LW331985-10-16No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,000,000$2,000,000$2,000,000$NoLien
Jordie BennTampa Bay LightningD311987-07-26No199 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,800,000$1,800,000$1,800,000$NoLien
Justin WilliamsTampa Bay LightningRW371981-10-04No184 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,100,000$6,100,000$6,100,000$NoLien
Lars EllerTampa Bay LightningC301989-05-08No207 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Marc-Edouard VlasicTampa Bay LightningD321987-03-30No205 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Matt DucheneTampa Bay LightningC281991-01-16No195 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Mike SmithTampa Bay LightningG371982-03-22No220 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Neal PionkTampa Bay LightningD231995-07-29No186 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Nic DowdTampa Bay LightningC/RW291990-05-27No197 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Ryan GetzlafTampa Bay LightningC341985-05-10No225 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Tyler BertuzziTampa Bay LightningLW241995-02-24No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2028.90202 Lbs6 ft21.652,360,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,200,000$19,600,000$4,700,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jamie BennMatt DucheneJustin Williams40113
2Tyler BertuzziRyan GetzlafBrendan Perlini32113
3Adrian KempeLars EllerBrett Connolly18122
4Drake CaggiulaJay BeagleNic Dowd10320
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyBrady Skjei40122
2Marc-Edouard VlasicJordie Benn33122
3Neal PionkAdam McQuaid23122
4Charlie McAvoyBrady Skjei4122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jamie BennRyan GetzlafJustin Williams60113
2Tyler BertuzziMatt DucheneBrendan Perlini40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyBrady Skjei60113
2Marc-Edouard VlasicNeal Pionk40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Lars EllerJamie Benn60131
2Jay BeagleNic Dowd40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicJordie Benn55131
2Adam McQuaidNeal Pionk45131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jay Beagle60131Charlie McAvoyBrady Skjei60131
2Lars Eller40131Marc-Edouard VlasicJordie Benn40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan GetzlafJamie Benn60122
2Matt DucheneJustin Williams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyNeal Pionk60122
2Marc-Edouard VlasicBrady Skjei40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jamie BennRyan GetzlafMatt DucheneCharlie McAvoyBrady Skjei
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jay BeagleLars EllerNic DowdMarc-Edouard VlasicJordie Benn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lars Eller, Adrian Kempe, Jay BeagleLars Eller, Adrian KempeJay Beagle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Neal Pionk, Adam McQuaid, Marc-Edouard VlasicNeal PionkAdam McQuaid, Marc-Edouard Vlasic
Tirs de Pénalité
Jamie Benn, Ryan Getzlaf, Matt Duchene, Justin Williams, Lars Eller
Gardien
#1 : Mike Smith, #2 : Curtis McElhinney


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
LigueDomicileVisiteur
# 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
1Carolina Hurricanes21100000770110000004311010000034-120.50071320002320781836240632283710330.00%4175.00%033265550.69%34060056.67%15625860.47%513543142512
2Columbus Blue Jackets21100000550110000003211010000023-120.500591400302066251724061146476233.33%20100.00%033265550.69%34060056.67%15625860.47%513641122614
3New Jersey Devils220000001156110000006241100000053241.000111829007220883430240702210376116.67%5180.00%033265550.69%34060056.67%15625860.47%493444152613
4New York Islanders210001004311000010023-11100000020230.7504711014000561821152732620446233.33%80100.00%033265550.69%34060056.67%15625860.47%483349152613
5New York Rangers2110000057-21010000004-41100000053220.500591400302078292128082322651300.00%8187.50%033265550.69%34060056.67%15625860.47%483446142412
6Philadelphia Flyers2110000057-21010000026-41100000031220.500591400131056192215058182334300.00%8362.50%033265550.69%34060056.67%15625860.47%453049142512
7Pittsburgh Penguins2020000047-31010000034-11010000013-200.0004610001300793129190681429435360.00%13376.92%033265550.69%34060056.67%15625860.47%473147132513
Total16770011050500834001002429-58430001026215170.53150841340122151215812061931779547171128337511427.45%51982.35%033265550.69%34060056.67%15625860.47%393274370115204105
9Washington Capitals201000109901010000045-11000001054120.50091322001431803217287722364412325.00%30100.00%033265550.69%34060056.67%15625860.47%513747132513
_Since Last GM Reset16770011050500834001002429-58430001026215170.53150841340122151215812061931779547171128337511427.45%51982.35%033265550.69%34060056.67%15625860.47%393274370115204105
_Vs Conference16770011050500834001002429-58430001026215170.53150841340122151215812061931779547171128337511427.45%51982.35%033265550.69%34060056.67%15625860.47%393274370115204105

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1617W1508413458154717112833701
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
167701105050
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83401002429
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
84300102621
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
511427.45%51982.35%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
20619317792215121
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
33265550.69%34060056.67%15625860.47%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
393274370115204105


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-09-028Columbus Blue Jackets2Tampa Bay Lightning3WSommaire du Match
2 - 2019-09-0326Tampa Bay Lightning5New York Rangers3WSommaire du Match
4 - 2019-09-0538New Jersey Devils2Tampa Bay Lightning6WSommaire du Match
6 - 2019-09-0748Tampa Bay Lightning2New York Islanders0WSommaire du Match
7 - 2019-09-0863Tampa Bay Lightning3Carolina Hurricanes4LSommaire du Match
8 - 2019-09-0980Tampa Bay Lightning5Washington Capitals4WXXSommaire du Match
10 - 2019-09-1193New York Islanders3Tampa Bay Lightning2LXSommaire du Match
11 - 2019-09-12114Tampa Bay Lightning3Philadelphia Flyers1WSommaire du Match
13 - 2019-09-14123Pittsburgh Penguins4Tampa Bay Lightning3LSommaire du Match
14 - 2019-09-15143Philadelphia Flyers6Tampa Bay Lightning2LSommaire du Match
16 - 2019-09-17159Tampa Bay Lightning1Pittsburgh Penguins3LSommaire du Match
17 - 2019-09-18169Tampa Bay Lightning5New Jersey Devils3WSommaire du Match
18 - 2019-09-19184New York Rangers4Tampa Bay Lightning0LSommaire du Match
20 - 2019-09-21210Washington Capitals5Tampa Bay Lightning4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24226Tampa Bay Lightning2Columbus Blue Jackets3LSommaire du Match
25 - 2019-09-26245Carolina Hurricanes3Tampa Bay Lightning4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets115604020225
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 47,200,000$ 31,044,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 234,745,332$ 234,745,332$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jamie BennAGE:29PO:56OV:77
Tyler BertuzziAGE:24PO:70OV:68
Adrian KempeAGE:22PO:79OV:67
Jay BeagleAGE:33PO:25OV:67
Drake CaggiulaAGE:25PO:52OV:65
Brendan PerliniAGE:23PO:84OV:64
Nicolas DeslauriersAGE:28PO:53OV:64
Matt PuempelAGE:26PO:77OV:61
Francis PerronAGE:23PO:64OV:61
*Mason ShawAGE:20PO:64OV:59
Henrik SamuelssonAGE:25PO:77OV:58
Ryan GetzlafAGE:34PO:52OV:74
Matt DucheneAGE:28PO:74OV:73
Lars EllerAGE:30PO:68OV:70
Adrian KempeAGE:22PO:79OV:67
Jay BeagleAGE:33PO:25OV:67
Nic DowdAGE:29PO:40OV:66
Byron FroeseAGE:28PO:57OV:65
Drake CaggiulaAGE:25PO:52OV:65
Tyler GraovacAGE:26PO:59OV:64
Reid BoucherAGE:25PO:59OV:61
Kevin PorterAGE:33PO:52OV:61
Chase De LeoAGE:23PO:58OV:59
Colin GreeningAGE:33PO:52OV:59
Austin CzarnikAGE:26PO:37OV:59
Justin WilliamsAGE:37PO:36OV:71
Brett ConnollyAGE:27PO:75OV:68
Nic DowdAGE:29PO:40OV:66
Brendan PerliniAGE:23PO:84OV:64
Dmitrij JaskinAGE:26PO:78OV:64
Nicolas DeslauriersAGE:28PO:53OV:64
Nathan BastianAGE:21PO:74OV:61
Mario KempeAGE:30PO:50OV:61
Austin CzarnikAGE:26PO:37OV:59
Spencer WatsonAGE:23PO:62OV:55

Défense #1Défense #2Gardien
Charlie McAvoyAGE:21PO:84OV:72
Jordie BennAGE:31PO:27OV:72
Brady SkjeiAGE:25PO:77OV:71
Marc-Edouard VlasicAGE:32PO:47OV:71
Neal PionkAGE:23PO:43OV:71
Adam McQuaidAGE:32PO:42OV:70
Michael Del ZottoAGE:29PO:66OV:68
Maxime LajoieAGE:21PO:58OV:64
Kevin CzuczmanAGE:28PO:57OV:63
Juuso RiikolaAGE:25PO:53OV:63
Duncan SiemensAGE:25PO:77OV:62
Brandon CrawleyAGE:22PO:63OV:61
*Joni TuulolaAGE:23PO:62OV:61
Mike SmithAGE:37PO:22OV:88
Curtis McElhinneyAGE:36PO:24OV:82
Adin HillAGE:23PO:67OV:77
Oscar DanskAGE:25PO:51OV:74
Kaden FulcherAGE:20PO:49OV:63

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Christopher WilkieTampa Bay Lightning11164
Logan HutskoTampa Bay Lightning1478
Owen TippettTampa Bay Lightning1315

Choix au Repêchage

Année R1R2R3R4R5R6
15Tam Tam Ott Tam Tam
16Tam Tam Tam Tam
17Tam Tam Tam Tam Tam
18Tam Tam Tam
19Tam Tam Tam Tam Tam Tam



[2019-08-18 09:07:13] - Mario Kempe was added to Tampa Bay Lightning.
[2019-08-15 21:29:51] - Kaden Fulcher was added to Tampa Bay Lightning.
[2019-08-15 21:26:51] - TRADE : From Tampa Bay Lightning to Detroit Red Wings : Y:18-RND:4-Tam.
[2019-08-07 07:50:21] - Juuso Riikola was added to Tampa Bay Lightning.
[2019-08-02 11:45:10] - Crunch hired Mike Van Ryn for 1 000 000 $ for 5 year(s).
[2019-08-02 11:44:55] - Crunch fired Steve Spott.
[2019-08-02 11:36:01] - TRADE : From New Jersey Devils to Tampa Bay Lightning : Curtis McElhinney (82).
[2019-07-28 16:45:41] - TRADE : From New York Rangers to Tampa Bay Lightning : Adam McQuaid (69).
[2019-07-28 16:42:34] - TRADE : From Los Angeles Kings to Tampa Bay Lightning : Nicolas Deslauriers (64).
[2019-06-22 09:18:19] - Sam Henley has been deleted from Tampa Bay Lightning.
[2019-06-22 09:18:16] - Ryan Malone has been deleted from Tampa Bay Lightning.
[2019-06-22 09:18:13] - Paul Postma has been deleted from Tampa Bay Lightning.
[2019-06-22 09:18:09] - Ondrej Pavelec has been deleted from Tampa Bay Lightning.
[2019-06-22 09:18:05] - Nick Ebert has been deleted from Tampa Bay Lightning.
[2019-06-22 09:18:03] - Nate Guenin has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:59] - Michael Zalewski has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:54] - Mat Bodie has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:49] - Lukas Bengtsson has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:44] - Jeff Schultz has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:40] - Jamie Phillips has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:34] - Freddie Hamilton has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:30] - Borna Rendulic has been deleted from Tampa Bay Lightning.
[2019-06-22 09:17:15] - Paul Martin has been deleted from Tampa Bay Lightning.
[2019-06-20 15:04:42] - Tampa Bay Lightning drafts Logan Hutsko as the #78 overall pick in the Entry Draft of year 14.



[2019-09-25 08:55:44] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-09-23 09:07:47] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-09-23 09:07:47] Nicolas Deslauriers of Tampa Bay Lightning was sent down to farm.
[2019-09-17 15:01:48] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-09-17 15:01:47] Kaden Fulcher of Tampa Bay Lightning was sent to farm.
[2019-09-17 15:01:47] Nicolas Deslauriers of Tampa Bay Lightning was sent to pro.
[2019-09-17 15:01:47] Mario Kempe of Tampa Bay Lightning was sent down to farm.
[2019-09-16 12:34:27] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-09-14 12:42:40] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-09-12 07:52:25] Last 7 Days Pro Star : 1 - Jamie Benn of Tampa Bay Lightning (4-6-10) / 2 - Pekka Rinne of Washington Capitals (0,942) / 3 - Charlie McAvoy of Tampa Bay Lightning (3-3-6)
[2019-09-10 10:23:57] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-08-18 09:07:13] Mario Kempe was added to Tampa Bay Lightning.
[2019-08-15 21:29:51] Kaden Fulcher was added to Tampa Bay Lightning.
[2019-08-15 21:26:51] TRADE : From Tampa Bay Lightning to Detroit Red Wings : Y:18-RND:4-Tam.
[2019-08-07 08:03:12] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2019-08-07 08:03:12] Oscar Dansk of Tampa Bay Lightning was sent to farm.
[2019-08-07 08:03:12] Michael Del Zotto of Tampa Bay Lightning was sent down to farm.
[2019-08-07 08:03:12] Mason Shaw of Tampa Bay Lightning was sent down to farm.
[2019-08-07 08:03:12] Nicolas Deslauriers of Tampa Bay Lightning was sent down to farm.
[2019-08-07 08:03:12] Juuso Riikola of Tampa Bay Lightning was sent down to farm.
[2019-08-07 08:03:12] Joni Tuulola of Tampa Bay Lightning was sent down to farm.
[2019-08-07 08:03:12] Dmitrij Jaskin of Tampa Bay Lightning was sent down to farm.
[2019-08-07 07:59:07] Crunch roster errors : Not enough Left Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Right Wings available in Farm Team! 2 Dressed. 3 Required. Not enough Forward available in Farm Team! 5 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 0 Dressed. 6 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 5 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-07 07:50:21] Juuso Riikola was added to Tampa Bay Lightning.
[2019-08-02 12:41:23] Crunch roster errors : Not enough Left Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Right Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Forward available in Farm Team! 5 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 0 Dressed. 6 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 5 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-02 11:45:10] Crunch hired Mike Van Ryn for 1 000 000 $ for 5 year(s).
[2019-08-02 11:44:55] Crunch fired Steve Spott.
[2019-08-02 11:36:05] Crunch roster errors : Not enough Left Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Right Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Forward available in Farm Team! 5 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 0 Dressed. 6 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 5 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-02 11:36:01] TRADE : From New Jersey Devils to Tampa Bay Lightning : Curtis McElhinney (82).
[2019-08-02 11:35:17] Crunch roster errors : Not enough Left Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Right Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Forward available in Farm Team! 5 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 0 Dressed. 6 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 5 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-31 03:41:49] Crunch roster errors : Not enough Left Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Right Wings available in Farm Team! 1 Dressed. 3 Required. Not enough Forward available in Farm Team! 5 Dressed. 9 Required. Not enough Defenseman available in Farm Team! 0 Dressed. 6 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 5 Dressed. 18 Required. Some errors will be automatically fixed.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT