Tampa Bay Lightning

GP: 7 | W: 2 | L: 4 | OTL: 1 | P: 5
GF: 12 | GA: 19 | PP%: 6.45% | PK%: 93.75%
DG: Stéphane Lacasse | Morale : 45 | Moyenne d'Équipe : 71
Prochain matchs #117 vs Colorado Avalanche
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Jamie BennX100.007653738382839182797881778078875647770
2Ryan Getzlaf (C)X100.008553697291858076828669736884915247740
3Matt DucheneX100.005936908671858684827980588375697447730
4Justin Williams (A)X100.006640767475839573667672647388903647710
5Lars EllerX100.006844836982819467837168806978716847700
6Brett ConnollyX100.006838847082739468546973627175727547680
7Tyler BertuzziX100.007350777072818668567571637267687037680
8Adrian KempeXX100.007442757081779468746967597167657937670
9Jay BeagleXX100.007938876285757161836459825884742547670
10Nic DowdXX100.008138826480677763766261756377724047660
11Brendan PerliniXX100.006939836786698166546270586965638447650
12Drake CaggiulaXX100.008651786666797364716369656771675247650
13Jordie BennX100.008045836380859461307162805380732747720
14Charlie McAvoyX100.008448697577896773307969775763658447720
15Brady SkjeiX100.008441786986879168307364725569667747710
16Marc-Edouard Vlasic (A)X100.005436866878878367307666835480724747710
17Neal PionkX100.008455806972878668307762785367654347710
18Adam McQuaidX100.008754636188816359306458815382744247700
Rayé
MOYENNE D'ÉQUIPE100.00754579708081846958726872657572574670
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 Smith99.00928987939190929190929187912242880
2Curtis McElhinney100.00858280818483858483858486902447820
Rayé
MOYENNE D'ÉQUIPE99.5089868487888789888789888791234585
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
1Ryan GetzlafTampa Bay LightningC7426-110019192151219.05%114320.55112430000000148.44%19200000.8301000110
2Brady SkjeiTampa Bay LightningD7145-46014812258.33%516723.9700043200007000.00%000000.6000000001
3Jamie BennTampa Bay LightningLW7134-3201112358242.86%015922.7100011300000110058.33%1200000.5011000000
4Justin WilliamsTampa Bay LightningRW7123-220313158146.67%114120.25011430000001035.71%1400000.4200000001
5Charlie McAvoyTampa Bay LightningD7123-460209223124.55%615922.81101153200001000.00%000000.3800000000
6Matt DucheneTampa Bay LightningC7123-420319227164.55%012417.82000626000000046.84%15800000.4811000000
7Adam McQuaidTampa Bay LightningD70220601483110.00%410915.6000000000023000.00%000000.3700000000
8Marc-Edouard VlasicTampa Bay LightningD7112-340012102410.00%1515622.37000824000027000.00%000000.2600000000
9Neal PionkTampa Bay LightningD7022-1402086850.00%513719.63000624000019000.00%000000.2900000000
10Drake CaggiulaTampa Bay LightningC/LW7101-1203291211.11%1507.26000000000100033.33%300000.3900000000
11Jay BeagleTampa Bay LightningC/LW7011-1001104140.00%37410.58000000000270060.71%5600000.2700000000
12Adrian KempeTampa Bay LightningC/LW7000-140646220.00%0689.7400000000050055.56%900000.0000000000
13Brendan PerliniTampa Bay LightningLW/RW7000-120317140.00%19914.1700029000030045.45%1100000.0000000000
14Brett ConnollyTampa Bay LightningRW7000-300435690.00%09413.49000117000000050.00%400000.0000000000
15Jordie BennTampa Bay LightningD7000-3401263200.00%411716.8100000000023000.00%000000.0000000000
16Tyler BertuzziTampa Bay LightningLW7000-34014106570.00%110915.64000124000000025.00%1200000.0000000000
17Nic DowdTampa Bay LightningC/RW7000000350030.00%0497.04000000000120072.73%1100000.0000000000
18Lars EllerTampa Bay LightningC7000-220416147160.00%210314.81000020000300050.82%12200000.0000000000
Stats d'équipe Total ou en Moyenne126112132-37600154165200691405.50%49206616.402246228600002041149.50%60400000.3123000112
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 Lightning62310.9102.4833941141560000.667361200
2Curtis McElhinneyTampa Bay Lightning20100.8813.4587005420000.000016000
Stats d'équipe Total ou en Moyenne82410.9042.6742741191980000.667377200


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$1,909,091$NoLien
Adrian KempeTampa Bay LightningC/LW221996-09-13No201 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$454,545$NoLien
Brady SkjeiTampa Bay LightningD251994-03-26No214 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Brendan PerliniTampa Bay LightningLW/RW231996-04-27No211 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm900,000$900,000$818,182$NoLien
Brett ConnollyTampa Bay LightningRW271992-05-02No195 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Charlie McAvoyTampa Bay LightningD211997-12-21No208 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$818,182$NoLien
Curtis McElhinneyTampa Bay LightningG361983-05-23No203 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,800,000$2,800,000$2,545,455$NoLien
Drake CaggiulaTampa Bay LightningC/LW251994-06-20No176 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Jamie BennTampa Bay LightningLW291989-07-18No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Jay BeagleTampa Bay LightningC/LW331985-10-16No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,000,000$2,000,000$1,818,182$NoLien
Jordie BennTampa Bay LightningD311987-07-26No199 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,800,000$1,800,000$1,636,364$NoLien
Justin WilliamsTampa Bay LightningRW371981-10-04No184 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,100,000$6,100,000$5,545,455$NoLien
Lars EllerTampa Bay LightningC301989-05-08No207 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Marc-Edouard VlasicTampa Bay LightningD321987-03-30No205 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Matt DucheneTampa Bay LightningC281991-01-16No195 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Mike SmithTampa Bay LightningG371982-03-22No220 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Neal PionkTampa Bay LightningD231995-07-29No186 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Nic DowdTampa Bay LightningC/RW291990-05-27No197 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$500,000$454,545$NoLien
Ryan GetzlafTampa Bay LightningC341985-05-10No225 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Tyler BertuzziTampa Bay LightningLW241995-02-24No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$500,000$454,545$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 BennRyan GetzlafJustin Williams40113
2Tyler BertuzziMatt DucheneBrett Connolly30122
3Adrian KempeLars EllerBrendan Perlini21122
4Drake CaggiulaJay BeagleNic Dowd9320
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyBrady Skjei40122
2Marc-Edouard VlasicNeal Pionk33122
3Jordie BennAdam McQuaid23122
4Charlie McAvoyBrady Skjei4122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jamie BennRyan GetzlafJustin Williams60113
2Tyler BertuzziMatt DucheneBrett Connolly40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyBrady Skjei60113
2Marc-Edouard VlasicNeal Pionk40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Lars EllerJay Beagle60131
2Nic DowdDrake Caggiula40131
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 Beagle60131Marc-Edouard VlasicAdam McQuaid60131
2Lars Eller40131Neal PionkJordie 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 VlasicAdam McQuaid
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
1Boston Bruins1010000002-2000000000001010000002-200.00000000000030713100115823700.00%40100.00%012224749.39%12825151.00%499850.00%2718208126
2Carolina Hurricanes10000010211000000000001000001021121.0002240010022374114356821300.00%40100.00%012224749.39%12825151.00%499850.00%2315278135
3Florida Panthers2110000036-3110000001011010000026-420.5003690121005823211406115144510110.00%70100.00%012224749.39%12825151.00%499850.00%473246152512
4Montreal Canadiens1010000034-1000000000001010000034-100.00035800210036181080353821200.00%40100.00%012224749.39%12825151.00%499850.00%2518227126
5Ottawa Senators1000010023-1000000000001000010023-110.500246001100248104227101216200.00%6183.33%012224749.39%12825151.00%499850.00%2618246126
6Toronto Maple Leafs1010000023-1000000000001010000023-100.00024600020029101090291014287114.29%7185.71%012224749.39%12825151.00%499850.00%2517227115
Total714001101219-711000000101604001101119-850.357122133016502200736856619849641543126.45%32293.75%012224749.39%12825151.00%499850.00%176122163538843
_Since Last GM Reset714001101219-711000000101604001101119-850.357122133016502200736856619849641543126.45%32293.75%012224749.39%12825151.00%499850.00%176122163538843
_Vs Conference714001101219-711000000101604001101119-850.357122133016502200736856619849641543126.45%32293.75%012224749.39%12825151.00%499850.00%176122163538843
_Vs Division614001001018-81100000010150400100918-930.250101929015500177666445216343561332827.14%28292.86%012224749.39%12825151.00%499850.00%152106135447437

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
75L2122133200198496415401
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
71401101219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000010
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
60401101119
Derniers 10 Matchs
WLOTWOTL SOWSOL
140110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3126.45%32293.75%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
73685666502
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
12224749.39%12825151.00%499850.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
176122163538843


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
2 - 2019-09-035Florida Panthers0Tampa Bay Lightning1WSommaire du Match
4 - 2019-09-0521Tampa Bay Lightning2Florida Panthers6LSommaire du Match
5 - 2019-09-0631Tampa Bay Lightning2Carolina Hurricanes1WXXSommaire du Match
9 - 2019-09-1047Tampa Bay Lightning2Toronto Maple Leafs3LSommaire du Match
11 - 2019-09-1262Tampa Bay Lightning2Ottawa Senators3LXSommaire du Match
14 - 2019-09-1586Tampa Bay Lightning3Montreal Canadiens4LSommaire du Match
16 - 2019-09-1798Tampa Bay Lightning0Boston Bruins2LSommaire du Match
18 - 2019-09-19117Colorado Avalanche-Tampa Bay Lightning-
22 - 2019-09-23144Pittsburgh Penguins-Tampa Bay Lightning-
25 - 2019-09-26164Nashville Predators-Tampa Bay Lightning-
28 - 2019-09-29181Tampa Bay Lightning-New York Rangers-
29 - 2019-09-30188Tampa Bay Lightning-New Jersey Devils-
31 - 2019-10-02197Tampa Bay Lightning-New York Islanders-
38 - 2019-10-09248Tampa Bay Lightning-Buffalo Sabres-
39 - 2019-10-10253Buffalo Sabres-Tampa Bay Lightning-
44 - 2019-10-15287New York Rangers-Tampa Bay Lightning-
46 - 2019-10-17302Winnipeg Jets-Tampa Bay Lightning-
49 - 2019-10-20324Tampa Bay Lightning-St. Louis Blues-
51 - 2019-10-22341Tampa Bay Lightning-Chicago Blackhawks-
53 - 2019-10-24355Anaheim Ducks-Tampa Bay Lightning-
55 - 2019-10-26365Buffalo Sabres-Tampa Bay Lightning-
57 - 2019-10-28380St. Louis Blues-Tampa Bay Lightning-
59 - 2019-10-30398Tampa Bay Lightning-Washington Capitals-
60 - 2019-10-31408Carolina Hurricanes-Tampa Bay Lightning-
63 - 2019-11-03430Tampa Bay Lightning-Nashville Predators-
65 - 2019-11-05440Minnesota Wild-Tampa Bay Lightning-
67 - 2019-11-07457San Jose Sharks-Tampa Bay Lightning-
69 - 2019-11-09468New York Islanders-Tampa Bay Lightning-
70 - 2019-11-10473Tampa Bay Lightning-Florida Panthers-
72 - 2019-11-12488Boston Bruins-Tampa Bay Lightning-
74 - 2019-11-14509Washington Capitals-Tampa Bay Lightning-
77 - 2019-11-17526Ottawa Senators-Tampa Bay Lightning-
79 - 2019-11-19539Dallas Stars-Tampa Bay Lightning-
81 - 2019-11-21559Tampa Bay Lightning-Washington Capitals-
83 - 2019-11-23572Florida Panthers-Tampa Bay Lightning-
88 - 2019-11-28595Montreal Canadiens-Tampa Bay Lightning-
89 - 2019-11-29607Detroit Red Wings-Tampa Bay Lightning-
91 - 2019-12-01617Tampa Bay Lightning-Buffalo Sabres-
93 - 2019-12-03629Tampa Bay Lightning-Montreal Canadiens-
95 - 2019-12-05648Tampa Bay Lightning-Ottawa Senators-
96 - 2019-12-06655Tampa Bay Lightning-Carolina Hurricanes-
98 - 2019-12-08663Vancouver Canucks-Tampa Bay Lightning-
100 - 2019-12-10680Phoenix Coyotes-Tampa Bay Lightning-
102 - 2019-12-12695Tampa Bay Lightning-Philadelphia Flyers-
103 - 2019-12-13708Tampa Bay Lightning-New Jersey Devils-
105 - 2019-12-15716Los Angeles Kings-Tampa Bay Lightning-
107 - 2019-12-17736Tampa Bay Lightning-Minnesota Wild-
108 - 2019-12-18742Tampa Bay Lightning-Winnipeg Jets-
118 - 2019-12-28771Tampa Bay Lightning-Dallas Stars-
120 - 2019-12-30779Tampa Bay Lightning-Los Angeles Kings-
122 - 2020-01-01791Tampa Bay Lightning-Anaheim Ducks-
123 - 2020-01-02805Tampa Bay Lightning-San Jose Sharks-
126 - 2020-01-05814Vegas Golden Knights-Tampa Bay Lightning-
128 - 2020-01-07829Pittsburgh Penguins-Tampa Bay Lightning-
130 - 2020-01-09847New York Islanders-Tampa Bay Lightning-
132 - 2020-01-11863Tampa Bay Lightning-Columbus Blue Jackets-
133 - 2020-01-12870Tampa Bay Lightning-Pittsburgh Penguins-
135 - 2020-01-14882Edmonton Oilers-Tampa Bay Lightning-
137 - 2020-01-16897Philadelphia Flyers-Tampa Bay Lightning-
139 - 2020-01-18919Tampa Bay Lightning-Colorado Avalanche-
142 - 2020-01-21939Tampa Bay Lightning-Vegas Golden Knights-
144 - 2020-01-23954Tampa Bay Lightning-Phoenix Coyotes-
147 - 2020-01-26970Toronto Maple Leafs-Tampa Bay Lightning-
149 - 2020-01-28986Chicago Blackhawks-Tampa Bay Lightning-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301001Calgary Flames-Tampa Bay Lightning-
154 - 2020-02-021019Boston Bruins-Tampa Bay Lightning-
156 - 2020-02-041034Montreal Canadiens-Tampa Bay Lightning-
158 - 2020-02-061054Tampa Bay Lightning-Boston Bruins-
159 - 2020-02-071060Tampa Bay Lightning-Detroit Red Wings-
161 - 2020-02-091070Tampa Bay Lightning-Toronto Maple Leafs-
163 - 2020-02-111085Philadelphia Flyers-Tampa Bay Lightning-
165 - 2020-02-131100Detroit Red Wings-Tampa Bay Lightning-
166 - 2020-02-141114New Jersey Devils-Tampa Bay Lightning-
169 - 2020-02-171134Tampa Bay Lightning-Vancouver Canucks-
171 - 2020-02-191150Tampa Bay Lightning-Edmonton Oilers-
172 - 2020-02-201162Tampa Bay Lightning-Calgary Flames-
176 - 2020-02-241185Toronto Maple Leafs-Tampa Bay Lightning-
178 - 2020-02-261199Columbus Blue Jackets-Tampa Bay Lightning-
179 - 2020-02-271211New York Rangers-Tampa Bay Lightning-
182 - 2020-03-011228Ottawa Senators-Tampa Bay Lightning-
184 - 2020-03-031249Tampa Bay Lightning-Columbus Blue Jackets-
186 - 2020-03-051264Tampa Bay Lightning-Detroit Red Wings-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets115604020225
Assistance4,4404,8391,5054,000708
Attendance PCT74.00%96.78%75.25%100.00%70.80%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 15492 - 86.07% 561,224$561,224$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,700,007$ 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
47,200,000$ 4,290,902$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
22,448,960$ 170 276,471$ 47,000,070$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
48,021,006$ 47,200,000$ 230,508,493$ 204,936,447$



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
Brendan PerliniAGE:23PO:84OV:65
Drake CaggiulaAGE:25PO:52OV:65
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
Kevin PorterAGE:33PO:52OV:62
Reid BoucherAGE:25PO:59OV: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:65
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
Juuso RiikolaAGE:25PO:53OV:63
Duncan SiemensAGE:25PO:77OV:62
Kevin CzuczmanAGE:28PO:57OV: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.



[2019-10-11 13:03:26] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-10-08 07:28:54] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.9.9
[2019-10-06 09:45:40] Tyler Bertuzzi from Tampa Bay Lightning is back from Strained Left Elbow Injury.
[2019-10-06 09:45:40] Game 31 - Tyler Bertuzzi from Tampa Bay Lightning is injured (Strained Left Elbow) and is out for 3 days.
[2019-10-05 12:00:34] Adrian Kempe from Tampa Bay Lightning is back from Strained Right Elbow Injury.
[2019-10-05 12:00:33] Game 21 - Adrian Kempe from Tampa Bay Lightning is injured (Strained Right Elbow) and is out for 2 days.
[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



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
14714001101219-711000000101604001101119-85122133016502200736856619849641543126.45%32293.75%012224749.39%12825151.00%499850.00%176122163538843
Total Saison Régulière714001101219-711000000101604001101119-85122133016502200736856619849641543126.45%32293.75%012224749.39%12825151.00%499850.00%176122163538843