Connexion

Tampa Bay Lightning
GP: 9 | W: 5 | L: 3 | OTL: 1 | P: 11
GF: 31 | GA: 29 | PP%: 14.58% | PK%: 80.77%
DG: Remi Baril | Morale : 51 | Moyenne d’équipe : N/A
Prochains matchs #141 vs Nashville Predators
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Minnesota Wild
4-3-1, 9pts
3
FINAL
0 Tampa Bay Lightning
5-3-1, 11pts
Team Stats
L1SéquenceW1
2-0-0Fiche domicile3-2-0
2-3-1Fiche visiteur2-1-1
4-3-1Derniers 10 matchs5-3-1
3.00Buts par match 3.44
2.88Buts contre par match 3.22
16.13%Pourcentage en avantage numérique14.58%
84.62%Pourcentage en désavantage numérique80.77%
Washington Capitals
4-3-0, 8pts
3
FINAL
5 Tampa Bay Lightning
5-3-1, 11pts
Team Stats
L1SéquenceW1
3-1-0Fiche domicile3-2-0
1-2-0Fiche visiteur2-1-1
4-3-0Derniers 10 matchs5-3-1
4.14Buts par match 3.44
3.14Buts contre par match 3.22
28.21%Pourcentage en avantage numérique14.58%
81.25%Pourcentage en désavantage numérique80.77%
Nashville Predators
6-2-0, 12pts
Jour 25
Tampa Bay Lightning
5-3-1, 11pts
Statistiques d’équipe
W2SéquenceW1
4-2-0Fiche domicile3-2-0
2-0-0Fiche visiteur2-1-1
6-2-010 derniers matchs5-3-1
3.63Buts par match 3.44
2.00Buts contre par match 3.44
25.00%Pourcentage en avantage numérique14.58%
90.63%Pourcentage en désavantage numérique80.77%
Tampa Bay Lightning
5-3-1, 11pts
Jour 27
Colorado Avalanche
0-7-1, 1pts
Statistiques d’équipe
W1SéquenceL7
3-2-0Fiche domicile0-4-0
2-1-1Fiche visiteur0-3-1
5-3-110 derniers matchs0-7-1
3.44Buts par match 3.00
3.22Buts contre par match 3.00
14.58%Pourcentage en avantage numérique12.82%
80.77%Pourcentage en désavantage numérique64.29%
Tampa Bay Lightning
5-3-1, 11pts
Jour 29
Minnesota Wild
4-3-1, 9pts
Statistiques d’équipe
W1SéquenceL1
3-2-0Fiche domicile2-0-0
2-1-1Fiche visiteur2-3-1
5-3-110 derniers matchs4-3-1
3.44Buts par match 3.00
3.22Buts contre par match 3.00
14.58%Pourcentage en avantage numérique16.13%
80.77%Pourcentage en désavantage numérique84.62%
Meneurs d'équipe
Buts
Travis Konecny
8
Passes
Auston Matthews
10
Points
Auston Matthews
15
Plus/Moins
Travis Konecny
7
Victoires
Stuart Skinner
5
Pourcentage d’arrêts
Stuart Skinner
0.903

Statistiques d’équipe
Buts pour
31
3.44 GFG
Tirs pour
347
38.56 Avg
Pourcentage en avantage numérique
14.6%
7 GF
Début de zone offensive
45.9%
Buts contre
29
3.22 GAA
Tirs contre
266
29.56 Avg
Pourcentage en désavantage numérique
80.8%%
5 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralRemi Baril
EntraîneurRick Bowness
DivisionAtlantic
ConférenceEastern Conference
CapitaineAuston Matthews
Assistant #1Adam Larsson
Assistant #2


Informations de l’aréna

NomSt Pete Times Forum
Capacité19,500
Assistance19,210
Billets de saison7,800


Informations de la formation

Équipe Pro21
Équipe Mineure22
Limite contact 43 / 250
Espoirs56


Plafond salarial

Cap Salarial de la Saison estimé80,231,398$
Plafond salarial disponible3,268,602$
Valeur du plafond salarial spécial3,250,000$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour8,930,601$
Dépenses annuelles à ce jour9,425,960$
Revenus de la saison estimés64,300,327$
Dépenses de la saison estimées72,055,488$
Compte bancaire actuel56,468,203$
Compte bancaire projeté49,681,124$


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
1Viktor ArvidssonXX100.006033877767887476577879657775734753003154,250,000$
2Jeff SkinnerXXX99.0060348579728789777678806479867553530032210,000,000$
3Jonathan HuberdeauXX99.0068388375798890786380666583817369530031510,500,000$
4Zemgus GirgensonsXXX100.007539936680788764776063766577726753003032,600,000$
5Jason DickinsonXX100.007539867080879067806869876672746453002943,250,000$
6Pavel ZachaXX99.007038947788869076837974727571737553002712,000,000$
7Auston Matthews (C)X99.007037928486918990838195738972777853002737,950,000$
8Patrik LaineXX99.006238917692897379577780667969738653002617,500,000$
9Travis KonecnyXXX99.007040718369908677567985878272746953002715,000,000$
10Michael RasmussenX100.007749786996868570807267866867718353002531,480,000$
11Jack Quinn (R)X100.00673893747684797356747165756365865200231925,000$
12Adam Larsson (A)X100.008143806785949062307463955282745553003112,550,000$
13Dylan DeMeloX100.007735836576918963307760865276723853003112,500,000$
14Ivan ProvorovX100.007036927281939068307661875473757253002734,750,000$
15Jakob ChychrunX100.007036787681938475307974646269728053002634,000,000$
16Alexandre CarrierX100.00703681666789826130735986506970495300271750,000$
17Andrew PeekeX100.00803791658690826230706089516769735300261750,000$
18J.J. MoserX100.00714086687291906630766386546567665300244925,000$
Rayé
1Jordan EberleXX90.726237907670889074587871667387784441003433,750,000$
Équipe Mineure
1Devin ShoreXX100.007037956579778063816660646272735450003031,999,999$
2Adam ErneXX100.008171866580798463646261736371726250002921,800,000$
3Justin KirklandX100.00703984638078755971615860626870565000281700,000$
4Logan BrownX100.00403540643580904020404040306668115000262750,000$
5Tyler AngleX100.00663686666475806263586559626566485000244867,500$
6Ben McCartney (R)X100.00624363587178765761595655586365495000232830,000$
7Lauri Pajuniemi (R)X100.00403540623580904020404040306466115000251600,000$
8Elmer Soderblom (R)X100.00844192609981796258596463616365495000231842,500$
9Waltteri Merela (R)X100.00743992588578735766585962576668425000264870,000$
10Dysin MayoX100.00713972637677835930575566486870485000281700,000$
11Kodie CurranX100.004035404035809040204040403025251150003411,000,000$
12Michael Krutil (R)X100.00403540403580904020404040302525115000221600,000$
13Peter DiLiberatoreX100.00553784566472705430575355466466485000241925,000$
14Michael Callahan (R)X100.00713985578064835630555358466567545000254925,000$
15Eemil Viro (R)X100.00603692586763745730555256456264675000221842,500$
16Kim Nousiainen (R)X100.00633689566361765530545152456466585000231842,500$
17Uvis BalinskisX100.00663980647482716330655961506870365000284870,000$
18Alex GoligoskiX100.0068338765678775623071546549908026500N03941,999,999$
MOYENNE D’ÉQUIPE99.5966398166738383634866626758686854510
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
1Alex Lyon100.0079978179807979797966867388475500314900,000$
2Stuart Skinner99.0083988792849090919177946875614500252750,000$
Rayé
Équipe Mineure
1Braden Holtby100.00409080504040404040404084871150003511,999,999$
2Yaroslav Askarov (R)100.0066998480676665656655776272855000221925,000$
3Dustin Tokarski100.0067997675686162626253747689455000352750,000$
4Arvid Holm100.0053957589545354545445706675475000254775,000$
MOYENNE D’ÉQUIPE99.836596817866656565655674728149500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness86958788999638CAN6914,500,000$


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’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
1Auston MatthewsTampa Bay LightningC951015700151844142911.36%119321.450331340000011050.53%28500001.5501000130
2Travis KonecnyTampa Bay LightningC/LW/RW985137140192662153812.90%319521.703141340000160128.57%2100001.3301000200
3Jeff SkinnerTampa Bay LightningC/LW/RW9459-46082428121614.29%218921.01033839000022051.26%23800000.9501000010
4Ivan ProvorovTampa Bay LightningD92682401015257158.00%920422.74235214100002010%000000.7800000100
5Patrik LaineTampa Bay LightningLW/RW9268-3201084512204.44%218620.741121339000000040.00%1000000.8601000000
6Viktor ArvidssonTampa Bay LightningLW/RW9437520582041220.00%118120.21000635000032156.25%1600000.7700000011
7Adam LarssonTampa Bay LightningD9167360139131137.69%718420.50000419000020000%000000.7600000001
8Jonathan HuberdeauTampa Bay LightningC/LW9325-36021112151714.29%118320.36112839000000055.56%900000.5500000100
9Dylan DeMeloTampa Bay LightningD9044240158109110%1017419.4300043600008000%000000.4600000001
10J.J. MoserTampa Bay LightningD9044-2805691100%1116518.34000725000016000%000000.4800000000
11Pavel ZachaTampa Bay LightningC/LW9022000513166110%113815.3900037000090053.33%10500000.2900000000
12Jordan EberleTampa Bay LightningC/RW8011-3001711360%08410.5500002000000060.00%500000.2400000000
13Jason DickinsonTampa Bay LightningC/LW9101-22013713697.69%212113.46000000000250068.75%1600000.1700000000
14Jakob ChychrunTampa Bay LightningD90110605112490%1015617.3601183800000000%000000.1300000000
15Andrew PeekeTampa Bay LightningD9011-300752040%1314416.1000000000022000%000000.1400000000
16Jack QuinnTampa Bay LightningRW11011002031033.33%01111.630000000000000%200101.7200000000
17Zemgus GirgensonsTampa Bay LightningC/LW/RW9000-100202000%0364.00000020000100050.00%60000000000000
18Alexandre CarrierTampa Bay LightningD9000020511000%7546.0600015000019000%00000000000000
19Michael RasmussenTampa Bay LightningC9000-1004810030%1535.99000000003310060.00%950000000000000
Statistiques d’équipe totales ou en moyenne16231568756201651753471002238.93%81265916.427132010941700041795351.98%80800100.6504000553
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
1Stuart SkinnerTampa Bay Lightning95210.9032.9646700232370000.750490101
2Alex LyonTampa Bay Lightning20100.8283.9077005290000009000
Statistiques d’équipe totales ou en moyenne115310.8953.085450028266000499101


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam LarssonTampa Bay LightningD311992-11-12SWENo209 Lbs6 ft3NoNoTrade2024-01-03NoNo12024-01-03FalseFalsePro & Farm2,550,000$2,252,284$2,550,000$2,252,284$No---------------------------Lien
Alex LyonTampa Bay LightningG311992-12-09USANo196 Lbs6 ft1NoNoTrade2024-01-28NoNo42024-05-19FalseFalsePro & Farm900,000$794,924$900,000$794,924$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien
Alexandre CarrierTampa Bay LightningD271996-10-08CANNo174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$662,437$750,000$662,437$No---------------------------Lien
Andrew PeekeTampa Bay LightningD261998-03-17USANo214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$662,437$750,000$662,437$No---------------------------Lien
Auston MatthewsTampa Bay LightningC271997-09-17USANo215 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm7,950,000$7,021,827$7,950,000$7,021,827$No7,950,000$7,950,000$-------7,950,000$7,950,000$-------NoNo-------Lien
Dylan DeMeloTampa Bay LightningD311993-05-01CANNo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$2,208,122$2,500,000$2,208,122$No---------------------------Lien
Ivan ProvorovTampa Bay LightningD271997-01-13RUSNo220 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm4,750,000$4,195,431$4,750,000$4,195,431$No4,750,000$4,750,000$-------4,750,000$4,750,000$-------NoNo-------Lien
J.J. MoserTampa Bay LightningD242000-06-06CHENo173 Lbs6 ft1NoNoN/ANoNo42024-05-19FalseFalsePro & Farm925,000$817,005$925,000$817,005$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien
Jack QuinnTampa Bay LightningRW232001-09-19CANYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$817,005$925,000$817,005$No---------------------------Lien
Jakob ChychrunTampa Bay LightningD261998-03-31CANNo205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm4,000,000$3,532,995$4,000,000$3,532,995$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien
Jason DickinsonTampa Bay LightningC/LW291995-07-04CANNo200 Lbs6 ft2NoNoN/ANoNo42024-05-19FalseFalsePro & Farm3,250,000$2,870,558$3,250,000$2,870,558$No3,250,000$3,250,000$3,250,000$------3,250,000$3,250,000$3,250,000$------NoNoNo------Lien
Jeff SkinnerTampa Bay LightningC/LW/RW321992-05-16CANNo200 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm10,000,000$8,832,487$10,000,000$8,832,487$No10,000,000$--------10,000,000$--------No--------Lien
Jonathan HuberdeauTampa Bay LightningC/LW311993-06-04CANNo200 Lbs6 ft1NoNoTrade2024-05-31NoNo52024-05-19FalseFalsePro & Farm10,500,000$9,274,112$10,500,000$9,274,112$No10,500,000$10,500,000$10,500,000$10,500,000$-----10,500,000$10,500,000$10,500,000$10,500,000$-----NoNoNoNo-----Lien
Jordan EberleTampa Bay LightningC/RW341990-05-15CANNo190 Lbs5 ft11NoNoN/ANoNo32024-05-19FalseFalsePro & Farm3,750,000$3,312,183$3,750,000$3,312,183$No3,750,000$3,750,000$-------3,750,000$3,750,000$-------NoNo-------Lien
Michael RasmussenTampa Bay LightningC251999-04-17CANNo220 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm1,480,000$1,307,208$1,480,000$1,307,208$No1,480,000$1,480,000$-------1,480,000$1,480,000$-------NoNo-------Lien
Patrik LaineTampa Bay LightningLW/RW261998-04-19FINNo215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm7,500,000$6,624,365$7,500,000$6,624,365$No---------------------------Lien
Pavel ZachaTampa Bay LightningC/LW271997-04-06CZENo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$1,766,497$2,000,000$1,766,497$No---------------------------Lien
Stuart SkinnerTampa Bay LightningG251998-11-01CANNo230 Lbs6 ft4NoNoTrade2024-01-26NoNo2FalseFalsePro & Farm750,000$662,437$750,000$662,437$No750,000$--------750,000$--------No--------Lien
Travis KonecnyTampa Bay LightningC/LW/RW271997-03-11CANNo192 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm5,000,000$4,416,244$5,000,000$4,416,244$No---------------------------Lien
Viktor ArvidssonTampa Bay LightningLW/RW311993-04-08SWENo185 Lbs5 ft10NoNoN/ANoNo52024-05-19FalseFalsePro & Farm4,250,000$3,753,807$4,250,000$3,753,807$No4,250,000$4,250,000$4,250,000$4,250,000$-----4,250,000$4,250,000$4,250,000$4,250,000$-----NoNoNoNo-----Lien
Zemgus GirgensonsTampa Bay LightningC/LW/RW301994-01-05LVANo200 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm2,600,000$2,296,447$2,600,000$2,296,447$No2,600,000$2,600,000$-------600,000$600,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.10201 Lbs6 ft22.483,670,476$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,080,000$55,105,000$44,355,000$19,825,000$14,750,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel ZachaAuston MatthewsTravis Konecny38014
2Jonathan HuberdeauJeff SkinnerPatrik Laine36023
3Viktor ArvidssonJason DickinsonJack Quinn21032
4Viktor ArvidssonMichael RasmussenZemgus Girgensons5050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovAdam Larsson35032
2J.J. MoserDylan DeMelo31023
3Alexandre CarrierAndrew Peeke29131
4Ivan ProvorovJakob Chychrun5041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel ZachaAuston MatthewsTravis Konecny65005
2Jonathan HuberdeauJeff SkinnerPatrik Laine35005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovAdam Larsson50014
2J.J. MoserJakob Chychrun50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenZemgus Girgensons65140
2Jason DickinsonTravis Konecny35140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan DeMeloAdam Larsson65140
2Andrew PeekeAlexandre Carrier35050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jason Dickinson60050Dylan DeMeloAdam Larsson60140
2Auston Matthews40050Andrew PeekeAlexandre Carrier40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsTravis Konecny60014
2Jeff SkinnerPatrik Laine40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovAdam Larsson60023
2Jakob ChychrunDylan DeMelo40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis KonecnyAuston MatthewsJeff SkinnerIvan ProvorovAdam Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason DickinsonAuston MatthewsTravis KonecnyIvan ProvorovAdam Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Viktor Arvidsson, Jason Dickinson, Michael RasmussenViktor Arvidsson, Jack QuinnZemgus Girgensons
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakob Chychrun, Alexandre Carrier, Andrew PeekeJakob ChychrunIvan Provorov, J.J. Moser
Tirs de pénalité
Auston Matthews, Travis Konecny, Jeff Skinner, Patrik Laine, Viktor Arvidsson
Gardien
#1 : Stuart Skinner, #2 : Alex Lyon
Lignes d’attaque personnalisées en prolongation
Auston Matthews, Travis Konecny, Jeff Skinner, Patrik Laine, Jonathan Huberdeau, Viktor Arvidsson, Viktor Arvidsson, Pavel Zacha, Jack Quinn, Jason Dickinson, Michael Rasmussen
Lignes de défense personnalisées en prolongation
Adam Larsson, Ivan Provorov, J.J. Moser, Dylan DeMelo, Jakob Chychrun


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
1Carolina Hurricanes22000000844110000004131100000043141.000814220023309435283104917143413215.38%6183.33%018536850.27%15430151.16%8113261.36%523741142513
2Minnesota Wild1010000003-31010000003-30000000000000.000000000000341012120246815400.00%30100.00%018536850.27%15430151.16%8113261.36%2316238126
3New Jersey Devils1000000134-1000000000001000000134-110.50035800111037101014750151415200.00%70100.00%018536850.27%15430151.16%8113261.36%2416287126
4Ottawa Senators11000000413000000000001100000041321.0004711002110337121403310226800.00%10100.00%018536850.27%15430151.16%8113261.36%2517238115
5Toronto Maple Leafs1010000025-3000000000001010000025-300.00024600011030914703494172150.00%10100.00%018536850.27%15430151.16%8113261.36%2114247136
6Vancouver Canucks1010000048-41010000048-40000000000000.000471100220048201810026614217342.86%5420.00%018536850.27%15430151.16%8113261.36%2619207126
7Vegas Golden Knights11000000514110000005140000000000021.00051015002210347121502474207114.29%20100.00%018536850.27%15430151.16%8113261.36%2618217116
8Washington Capitals11000000532110000005320000000000021.00059140011303713141002611217500.00%10100.00%018536850.27%15430151.16%8113261.36%2619227115
Total953000013129253200000181624210000113130110.6113156870010111003471111201137266816216548714.58%26580.77%018536850.27%15430151.16%8113261.36%2271612056711157
_Since Last GM Reset953000013129253200000181624210000113130110.6113156870010111003471111201137266816216548714.58%26580.77%018536850.27%15430151.16%8113261.36%2271612056711157
_Vs Conference641000012217522000000945421000011313090.7502239610067902317478767192623610930310.00%16193.75%018536850.27%15430151.16%8113261.36%150106140457437
_Vs Division21100000660000000000002110000066020.50061117002220631626210671964310110.00%20100.00%018536850.27%15430151.16%8113261.36%473248152412

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
911W1315687347266816216500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
95300013129
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001816
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42100011313
Derniers 10 matchs
WLOTWOTL SOWSOL
530001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
48714.58%26580.77%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
11112011371011100
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
18536850.27%15430151.16%8113261.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2271612056711157


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
820Tampa Bay Lightning4Carolina Hurricanes3WSommaire du match
929Carolina Hurricanes1Tampa Bay Lightning4WSommaire du match
1248Vancouver Canucks8Tampa Bay Lightning4LSommaire du match
1464Vegas Golden Knights1Tampa Bay Lightning5WSommaire du match
1675Tampa Bay Lightning4Ottawa Senators1WSommaire du match
1891Tampa Bay Lightning2Toronto Maple Leafs5LSommaire du match
1994Tampa Bay Lightning3New Jersey Devils4LXXSommaire du match
21112Minnesota Wild3Tampa Bay Lightning0LSommaire du match
23127Washington Capitals3Tampa Bay Lightning5WSommaire du match
25141Nashville Predators-Tampa Bay Lightning-
27157Tampa Bay Lightning-Colorado Avalanche-
29172Tampa Bay Lightning-Minnesota Wild-
31186Tampa Bay Lightning-Winnipeg Jets-
33199Tampa Bay Lightning-St. Louis Blues-
35210Philadelphia Flyers-Tampa Bay Lightning-
42259Winnipeg Jets-Tampa Bay Lightning-
44276New Jersey Devils-Tampa Bay Lightning-
47295Tampa Bay Lightning-Pittsburgh Penguins-
49311Tampa Bay Lightning-Columbus Blue Jackets-
51325Dallas Stars-Tampa Bay Lightning-
53334Colorado Avalanche-Tampa Bay Lightning-
55351Washington Capitals-Tampa Bay Lightning-
57369Tampa Bay Lightning-Nashville Predators-
58378Toronto Maple Leafs-Tampa Bay Lightning-
63413San Jose Sharks-Tampa Bay Lightning-
66437Tampa Bay Lightning-Vancouver Canucks-
68453Tampa Bay Lightning-Edmonton Oilers-
70470Tampa Bay Lightning-Calgary Flames-
72488Tampa Bay Lightning-Seattle Kraken-
75498Columbus Blue Jackets-Tampa Bay Lightning-
77512St. Louis Blues-Tampa Bay Lightning-
80540Florida Panthers-Tampa Bay Lightning-
81549Tampa Bay Lightning-Florida Panthers-
86572New York Rangers-Tampa Bay Lightning-
87580Montreal Canadiens-Tampa Bay Lightning-
91614Tampa Bay Lightning-San Jose Sharks-
93629Tampa Bay Lightning-Los Angeles Kings-
94636Tampa Bay Lightning-Anaheim Ducks-
98655Boston Bruins-Tampa Bay Lightning-
100674Tampa Bay Lightning-New Jersey Devils-
101686Tampa Bay Lightning-Pittsburgh Penguins-
103692Tampa Bay Lightning-Boston Bruins-
105709Anaheim Ducks-Tampa Bay Lightning-
107727Detroit Red Wings-Tampa Bay Lightning-
109744Tampa Bay Lightning-Toronto Maple Leafs-
110749Tampa Bay Lightning-Montreal Canadiens-
113773Tampa Bay Lightning-Chicago Blackhawks-
114781Tampa Bay Lightning-Detroit Red Wings-
117801Chicago Blackhawks-Tampa Bay Lightning-
119815Los Angeles Kings-Tampa Bay Lightning-
121829New York Islanders-Tampa Bay Lightning-
124847Ottawa Senators-Tampa Bay Lightning-
126862Ottawa Senators-Tampa Bay Lightning-
128877Tampa Bay Lightning-Detroit Red Wings-
129891Tampa Bay Lightning-Montreal Canadiens-
143909Seattle Kraken-Tampa Bay Lightning-
145921Edmonton Oilers-Tampa Bay Lightning-
147936Calgary Flames-Tampa Bay Lightning-
149950Tampa Bay Lightning-Washington Capitals-
151969Tampa Bay Lightning-Florida Panthers-
152976Columbus Blue Jackets-Tampa Bay Lightning-
154989Buffalo Sabres-Tampa Bay Lightning-
1561005Boston Bruins-Tampa Bay Lightning-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1591029Tampa Bay Lightning-Carolina Hurricanes-
1611043Tampa Bay Lightning-Philadelphia Flyers-
1631058Tampa Bay Lightning-Boston Bruins-
1651074Philadelphia Flyers-Tampa Bay Lightning-
1681097Tampa Bay Lightning-Dallas Stars-
1701111Tampa Bay Lightning-Utah Hockey Club-
1711122Tampa Bay Lightning-Vegas Golden Knights-
1731131Pittsburgh Penguins-Tampa Bay Lightning-
1751145Utah Hockey Club-Tampa Bay Lightning-
1771160New York Islanders-Tampa Bay Lightning-
1801186Tampa Bay Lightning-New York Islanders-
1821198Tampa Bay Lightning-Ottawa Senators-
1841215Tampa Bay Lightning-Buffalo Sabres-
1861230Tampa Bay Lightning-New York Rangers-
1881245Toronto Maple Leafs-Tampa Bay Lightning-
1901261Detroit Red Wings-Tampa Bay Lightning-
1921280Buffalo Sabres-Tampa Bay Lightning-
1941294Florida Panthers-Tampa Bay Lightning-
1961310Tampa Bay Lightning-New York Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité62005200310040001000
Prix des billets95553120205
Assistance30,60425,39715,50020,0004,547
Attendance PCT98.72%97.68%100.00%100.00%90.94%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 19210 - 98.51% 1,786,120$8,930,601$19500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
9,425,960$ 77,080,000$ 74,707,020$ 4,500,000$0$ 3,250,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
391,269$ 8,900,592$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
64,300,327$ 174 414,112$ 72,055,488$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
74,031,222$ 56,468,203$ 49,681,124$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
80,231,398$ 3,268,602$ 83,500,000$ 18,531,398$



Charte de profondeur

Ailier gaucheCentreAilier droit
Patrik LaineAGE:26PO:86OV:0
Pavel ZachaAGE:27PO:75OV:0
Jonathan HuberdeauAGE:31PO:69OV:0
Travis KonecnyAGE:27PO:69OV:0
Zemgus GirgensonsAGE:30PO:67OV:0
Jason DickinsonAGE:29PO:64OV:0
Adam ErneAGE:29PO:62OV:0
Justin KirklandAGE:28PO:56OV:0
Jeff SkinnerAGE:32PO:53OV:0
Ben McCartney (R)AGE:23PO:49OV:0
Elmer Soderblom (R)AGE:23PO:49OV:0
Viktor ArvidssonAGE:31PO:47OV:0
Michael RasmussenAGE:25PO:83OV:0
Auston MatthewsAGE:27PO:78OV:0
Pavel ZachaAGE:27PO:75OV:0
Jonathan HuberdeauAGE:31PO:69OV:0
Travis KonecnyAGE:27PO:69OV:0
Zemgus GirgensonsAGE:30PO:67OV:0
Jason DickinsonAGE:29PO:64OV:0
Devin ShoreAGE:30PO:54OV:0
Jeff SkinnerAGE:32PO:53OV:0
Tyler AngleAGE:24PO:48OV:0
Jordan EberleAGE:34PO:44OV:0
Waltteri Merela (R)AGE:26PO:42OV:0
Logan BrownAGE:26PO:11OV:0
Patrik LaineAGE:26PO:86OV:0
Jack Quinn (R)AGE:23PO:86OV:0
Travis KonecnyAGE:27PO:69OV:0
Zemgus GirgensonsAGE:30PO:67OV:0
Adam ErneAGE:29PO:62OV:0
Devin ShoreAGE:30PO:54OV:0
Jeff SkinnerAGE:32PO:53OV:0
Viktor ArvidssonAGE:31PO:47OV:0
Jordan EberleAGE:34PO:44OV:0
Lauri Pajuniemi (R)AGE:25PO:11OV:0

Défense #1Défense #2Gardien
Jakob ChychrunAGE:26PO:80OV:0
Andrew PeekeAGE:26PO:73OV:0
Ivan ProvorovAGE:27PO:72OV:0
Eemil Viro (R)AGE:22PO:67OV:0
J.J. MoserAGE:24PO:66OV:0
Kim Nousiainen (R)AGE:23PO:58OV:0
Adam LarssonAGE:31PO:55OV:0
Michael Callahan (R)AGE:25PO:54OV:0
Alexandre CarrierAGE:27PO:49OV:0
Dysin MayoAGE:28PO:48OV:0
Peter DiLiberatoreAGE:24PO:48OV:0
Dylan DeMeloAGE:31PO:38OV:0
Uvis BalinskisAGE:28PO:36OV:0
Alex GoligoskiAGE:39PO:26OV:0
Kodie CurranAGE:34PO:11OV:0
Michael Krutil (R)AGE:22PO:11OV:0
Yaroslav Askarov (R)AGE:22PO:85OV:0
Stuart SkinnerAGE:25PO:61OV:0
Alex LyonAGE:31PO:47OV:0
Arvid HolmAGE:25PO:47OV:0
Dustin TokarskiAGE:35PO:45OV:0
Braden HoltbyAGE:35PO:11OV:0

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam SykoraTampa Bay Lightning00
Aidan ThompsonTampa Bay Lightning00
Aleski MalinenTampa Bay Lightning00
Alex JefferiesTampa Bay Lightning00
Alexander SiryatskyTampa Bay Lightning00
Andre GasseauTampa Bay Lightning00
Anthony RomaniTampa Bay Lightning00
Arvid CostmarTampa Bay Lightning00
Austen SwanklerTampa Bay Lightning00
Axel RindellTampa Bay Lightning00
Ben ZlotyTampa Bay Lightning00
Bogdan TrineyevTampa Bay Lightning00
Cade WebberTampa Bay Lightning00
Collin GrafTampa Bay Lightning00
Connor UngarTampa Bay Lightning00
Danila ZhuravlyovTampa Bay Lightning00
Dans LocmelisTampa Bay Lightning00
David TendeckTampa Bay Lightning00
Dylan HryckowianTampa Bay Lightning00
Guillaume RichardTampa Bay Lightning00
Haakon HaneltTampa Bay Lightning00
Ilya SafonovTampa Bay Lightning00
Jack O'Brien (2003)Tampa Bay Lightning00
Jackson HallumTampa Bay Lightning00
James StefanTampa Bay Lightning00
Joshua ManiscalcoTampa Bay Lightning00
Justin JanickeTampa Bay Lightning00
Lauri PajuniemiTampa Bay Lightning00
Leo LoofTampa Bay Lightning00
Liam Dower NilssonTampa Bay Lightning00
Linus SoderstromTampa Bay Lightning00
Lorenzo CanonicaTampa Bay Lightning00
Luke ReidTampa Bay Lightning00
Magnus ChronaTampa Bay Lightning00
Martin ChromiakTampa Bay Lightning00
Mason LohreiTampa Bay Lightning00
Matias RajaniemiTampa Bay Lightning00
Maxim GroshevTampa Bay Lightning00
Michael KrutilTampa Bay Lightning00
Mikhail IlyinTampa Bay Lightning00
Mikulas HovorkaTampa Bay Lightning00
Mitchell GibsonTampa Bay Lightning00
Nikita GrebyonkinTampa Bay Lightning00
Noah ChadwickTampa Bay Lightning00
Oiva KeskinenTampa Bay Lightning00
Oskar MagnussonTampa Bay Lightning00
Patrik KochTampa Bay Lightning00
Ryan ConmyTampa Bay Lightning00
Ryan McAllisterTampa Bay Lightning00
Sean TschigerlTampa Bay Lightning00
Veeti MiettinenTampa Bay Lightning00
Vsevolod SkotnikovTampa Bay Lightning00
William StromgrenTampa Bay Lightning00
William WallinderTampa Bay Lightning00
Yegor RimashevskyTampa Bay Lightning00
Zach UensTampa Bay Lightning00

Choix au repêchage

Année R1R2R3R4R5R6R7
22TAM TAM TAM
23TAM TAM TAM TAM TAM TAM TAM
24TAM TAM TAM TAM TAM TAM TAM
25TAM TAM TAM TAM TAM TAM TAM
26TAM TAM TAM TAM TAM TAM TAM
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Tampa Bay Lightning Historique de transactions

[9/30/2024 8:25:32 PM] - New Record for Team's Most Shots (51) in 1 Game for Tampa Bay Lightning!
[9/13/2024 11:09:43 PM] - Tampa Bay Lightning hired Rick Bowness for $4,500,000 for 1 year(s).
[9/12/2024 9:57:50 PM] - Gregory Hofmann was released.
[9/12/2024 9:57:50 PM] - Tampa Bay Lightning paid $0 to release Gregory Hofmann.
[8/21/2024 9:44:57 PM] - Alex Goligoski was added to Tampa Bay Lightning.
[8/20/2024 8:46:01 PM] - Michael Callahan has been deleted from Tampa Bay Lightning.
[8/20/2024 8:45:51 PM] - Uvis Balinskis has been deleted from Tampa Bay Lightning.
[8/20/2024 8:45:48 PM] - Waltteri Merela has been deleted from Tampa Bay Lightning.
[8/18/2024 3:12:01 PM] - Michael Callahan was added to Tampa Bay Lightning.
[8/18/2024 3:11:53 PM] - Uvis Balinskis was added to Tampa Bay Lightning.
[8/18/2024 3:11:46 PM] - Waltteri Merela was added to Tampa Bay Lightning.
[8/18/2024 1:04:36 PM] - Michael Krutil was added to Tampa Bay Lightning.
[8/18/2024 1:04:26 PM] - Lauri Pajuniemi was added to Tampa Bay Lightning.
[8/10/2024 10:49:12 PM] - Mikulas Hovorka has been added to Tampa Bay Lightning.
[8/10/2024 10:49:06 PM] - Dylan Hryckowian has been added to Tampa Bay Lightning.
[8/10/2024 10:49:03 PM] - Connor Ungar has been added to Tampa Bay Lightning.
[8/10/2024 10:48:57 PM] - Cade Webber has been added to Tampa Bay Lightning.
[8/10/2024 10:48:53 PM] - Yegor Rimashevsky has been added to Tampa Bay Lightning.
[8/10/2024 10:48:48 PM] - Ryan Conmy has been added to Tampa Bay Lightning.
[8/10/2024 10:48:44 PM] - James Stefan has been added to Tampa Bay Lightning.
[8/10/2024 10:48:39 PM] - Oiva Keskinen has been added to Tampa Bay Lightning.
[8/10/2024 10:48:35 PM] - Noah Chadwick has been added to Tampa Bay Lightning.
[8/10/2024 10:48:31 PM] - Alexander Siryatsky has been added to Tampa Bay Lightning.
[8/10/2024 10:48:24 PM] - Mikhail Ilyin has been added to Tampa Bay Lightning.
[8/10/2024 10:48:19 PM] - Anthony Romani has been added to Tampa Bay Lightning.



[10/14/2024 8:22:53 PM] Successfully loaded Tampa Bay Lightning lines done with Web Base Client from IP:70.26.233.47 .
[10/14/2024 8:22:53 PM] Jack Quinn of Tampa Bay Lightning was sent to pro.
[10/13/2024 8:42:08 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased. But, Tampa Bay Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[10/13/2024 8:42:07 PM] Game 112 - Jordan Eberle from Tampa Bay Lightning is injured (Strained Left Elbow) and is out for 1 week.
[10/10/2024 8:48:10 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased. But, Tampa Bay Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[10/9/2024 8:33:52 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[10/7/2024 8:23:57 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[10/7/2024 8:22:25 PM] Successfully loaded Tampa Bay Lightning lines done with Web Base Client from IP:70.26.233.47 .
[10/6/2024 8:48:06 PM] Last 7 Days Pro Star : 1 - Auston Matthews of Tampa Bay Lightning (4-7-11) / 2 - Nathan MacKinnon of Nashville Predators (5-3-8) / 3 - Jack Hughes of Florida Panthers (5-4-9)
[10/5/2024 8:51:05 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[10/2/2024 8:24:21 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[10/2/2024 8:24:21 PM] Farm Game #48 - Elmer Soderblom from Syracuse Crunch has scored a Hat Trick!
[10/1/2024 8:27:29 PM] Successfully loaded Tampa Bay Lightning lines done with Web Base Client from IP:198.103.109.141 .
[9/30/2024 8:25:32 PM] New Record for Team's Most Shots (51) in 1 Game for Tampa Bay Lightning!
[9/28/2024 8:38:38 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[9/27/2024 8:40:16 PM] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[9/27/2024 8:40:16 PM] Farm Game #11 - Tyler Angle from Syracuse Crunch has scored a Hat Trick!



Jordan Eberle est dehors pour 2 jours à cause de Strained Left Elbow Injury.



Tampa Bay Lightning Leaders statistiques des joueurs (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

Tampa Bay 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

Tampa Bay 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

Tampa Bay Lightning Leaders statistiques des joueurs (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

Tampa Bay 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