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Tampa Bay Lightning
GP: 16 | W: 6 | L: 7 | OTL: 3 | P: 15
GF: 44 | GA: 56 | PP%: 28.00% | PK%: 93.55%
DG: Jannick Dumont | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #283 vs Florida Panthers

Centre de jeu
Washington Capitals
9-8-0, 18pts
5
FINAL
0 Tampa Bay Lightning
6-7-3, 15pts
Team Stats
L2SéquenceL5
3-5-0Fiche domicile4-3-1
6-3-0Fiche visiteur2-4-2
7-3-0Derniers 10 matchs3-5-2
3.47Buts par match 2.75
3.24Buts contre par match 3.50
22.45%Pourcentage en avantage numérique28.00%
79.31%Pourcentage en désavantage numérique93.55%
New York Rangers
14-3-1, 29pts
4
FINAL
2 Tampa Bay Lightning
6-7-3, 15pts
Team Stats
W1SéquenceL5
6-1-1Fiche domicile4-3-1
8-2-0Fiche visiteur2-4-2
8-2-0Derniers 10 matchs3-5-2
4.22Buts par match 2.75
3.17Buts contre par match 3.50
27.78%Pourcentage en avantage numérique28.00%
84.62%Pourcentage en désavantage numérique93.55%
Tampa Bay Lightning
6-7-3, 15pts
Jour 40
Florida Panthers
11-4-2, 24pts
Statistiques d’équipe
L5SéquenceW5
4-3-1Fiche domicile4-2-2
2-4-2Fiche visiteur7-2-0
3-5-210 derniers matchs7-2-1
2.75Buts par match 3.88
3.50Buts contre par match 3.88
28.00%Pourcentage en avantage numérique19.23%
93.55%Pourcentage en désavantage numérique72.73%
Vancouver Canucks
8-9-1, 17pts
Jour 41
Tampa Bay Lightning
6-7-3, 15pts
Statistiques d’équipe
L2SéquenceL5
2-6-1Fiche domicile4-3-1
6-3-0Fiche visiteur2-4-2
4-6-010 derniers matchs3-5-2
3.89Buts par match 2.75
3.56Buts contre par match 2.75
32.73%Pourcentage en avantage numérique28.00%
73.85%Pourcentage en désavantage numérique93.55%
New Jersey Devils
9-7-1, 19pts
Jour 43
Tampa Bay Lightning
6-7-3, 15pts
Statistiques d’équipe
W2SéquenceL5
4-3-1Fiche domicile4-3-1
5-4-0Fiche visiteur2-4-2
6-3-110 derniers matchs3-5-2
3.29Buts par match 2.75
3.24Buts contre par match 2.75
24.53%Pourcentage en avantage numérique28.00%
75.00%Pourcentage en désavantage numérique93.55%
Meneurs d'équipe
Elias PetterssonButs
Elias Pettersson
11
Cale MakarPasses
Cale Makar
15
Elias PetterssonPoints
Elias Pettersson
25
Kent JohnsonPlus/Moins
Kent Johnson
3
John GibsonVictoires
John Gibson
3
John GibsonPourcentage d’arrêts
John Gibson
0.882

Statistiques d’équipe
Buts pour
44
2.75 GFG
Tirs pour
414
25.88 Avg
Pourcentage en avantage numérique
28.0%
14 GF
Début de zone offensive
39.6%
Buts contre
56
3.50 GAA
Tirs contre
453
28.31 Avg
Pourcentage en désavantage numérique
93.5%%
4 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralJannick Dumont
EntraîneurVicent Lecavalier
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomAmalie Arena
Capacité19,000
Assistance18,174
Billets de saison17,670


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 60
Espoirs15


Plafond salarial

Cap Salarial de la Saison estimé78,339,166$
Plafond salarial disponible17,160,834$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour14,245,862$
Dépenses annuelles à ce jour16,007,672$
Revenus de la saison estimés58,764,181$
Dépenses de la saison estimées62,834,464$
Compte bancaire actuel21,600,478$
Compte bancaire projeté28,834,987$


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
1Anthony CirelliXX100.006842799278898786757981888679690508202856,250,000$
2Elias PetterssonXX100.0073459189768985867383817986767205081027511,600,000$
3Brayden SchennXXX100.007974697779889486778079748191920508003436,500,000$
4Juraj SlafkovskyX100.007855707592877884517877717959500507502157,600,000$
5Kent JohnsonXXX100.006241898477867982458178698163530507502321,800,000$
6Viktor ArvidssonXX100.006342807672868579477274677685750507403214,000,000$
7Cody GlassXXX100.006942857484848175757367707273630507202622,500,000$
8Nathan BastianXX100.00805874738482837052676571707666050710271775,000$
9Josh DoanX100.00754180737675687049707063695550050680231925,000$
10Elmer SoderblomX100.006940806592786768476563646557500506602421,125,000$
11Aydar SunievX100.00564069677576596240595959635150050610202923,333$
12Jack FinleyX100.00694369627461586160595763605050050610233775,000$
13Cale MakarX100.006943919577928595409190959473660508602729,000,000$
14Ryan McDonaghX100.006741857683899578407967947490850508103616,750,000$
15Damon SeversonX100.007055707682879080407672807685750507703156,250,000$
16Troy StecherX100.00685177757284867140656575718272050720311787,500$
17Jordan OesterleX100.00634282747384817040656571708575050710331775,000$
18Shakir MukhamadullinX100.006141787378776567406561696755500506702311,000,000$
Rayé
1Thomas BordeleauXXX100.00564371696371656653636058655950050620231775,000$
Équipe Mineure
1Ryan SchmelzerX96.00564566676173726563636158646561050630321775,000$
2Simon RobertssonX100.00624167626260585841555559585050050580222867,500$
3Felix Unger SorumX100.00584168626158575942595454585050050570202831,667$
4Josh BrownX100.006962586477757363405756716175590506703121,000,000$
5Corey SchuenemanX100.00604272666370696440605568615950050640301775,000$
6Ian MitchellX100.00584172726068656340635668646050050640261775,000$
7Shai BuiumX100.00634167626562616140615564595050050610222925,000$
8Vasili PonomarevX100.005843686962646263626357576351500506102300$
9Matt StromeX100.006344676168676560425753595854500505902600$
10Tristan BrozX100.00574264626162616255605955615050050590232925,000$
11Lucas VanroboysXXX100.006155556464656258415255585952500505802600$
12Ty SmithX100.005743667161646264406356676453500506302500$
13Topi NiemelaX100.005642716861646262406255636251500506102300$
14Taige HardingX100.006540625871595755405453625551500505902300$
15Adam McCormickX100.005940666261615855405353615752500505802500$
16Guillaume RichardX100.005840626259585756405455605850500505802200$
MOYENNE D’ÉQUIPE99.8964457371727471694866636868635805067
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
1John Gibson100.00829091858984808182878087800507803226,400,000$
2Jakub Dobes98.0077686981737576757674705250050680242965,000$
Rayé
1Sebastian Cossa100.0069626675717173707269615050050640221863,333$
Équipe Mineure
1Drew Commesso97.0072636763697174717269575050050630231925,000$
2Waltteri Ignatjew100.00686364646665676466665852500506002500$
3Jacob Ingham100.00635656676259595661605152500505602500$
MOYENNE D’ÉQUIPE99.177267697372717270727163575505065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Vicent Lecavalier1111111CAN4551$


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
1Elias PetterssonTampa Bay LightningC/LW1611142514084365173816.92%231519.706391541000074151.09%36800011.5911000222
2Cale MakarTampa Bay LightningD1651520-7140213447133310.64%2339324.573692441000052010%000001.0201000110
3Juraj SlafkovskyTampa Bay LightningLW1668142215401540122115.00%430018.78033541000000043.75%1600000.9301001022
4Kent JohnsonTampa Bay LightningC/LW/RW16681430082037203316.22%130619.14123541000001034.78%2300000.9111000110
5Anthony CirelliTampa Bay LightningC/RW168412-13100175154112814.81%634821.782359390000561150.80%43700100.6902000210
6Brayden SchennTampa Bay LightningC/LW/RW16099-111004327358250%134021.260222390111530053.70%10800000.5302000012
7Ryan McDonaghTampa Bay LightningD16369-6140232716141718.75%2438824.28145641000049010%000000.4600000000
8Damon SeversonTampa Bay LightningD16134-814038823694.35%2533220.800221035101151000%000000.2401000000
9Josh DoanTampa Bay LightningRW16123-94025317565.88%024115.06112434000000020.00%1500000.2500000000
10Shakir MukhamadullinTampa Bay LightningD16033-9608154180%730318.99011240000019000%000000.2000000000
11Troy StecherTampa Bay LightningD16033-41002578240%2227517.2100000000048000%000000.2200000000
12Cody GlassTampa Bay LightningC/LW/RW16022-3601225184140%021113.22000000001550052.05%17100000.1901000000
13Elmer SoderblomTampa Bay LightningLW16101-72012411269.09%019512.2100005000000040.00%1500000.1000000000
14Jordan OesterleTampa Bay LightningD15011-5201576440%1521614.460000000002000%000000.0900000000
15Nathan BastianTampa Bay LightningLW/RW11101-26063901111.11%1716.490000000000000%600000.2800000000
16Aydar SunievTampa Bay LightningLW16000-600235230%01117.0000000000050028.57%70000000000000
17Jack FinleyTampa Bay LightningC16000-6401442030%01066.6600000000000031.40%1210000000000000
18Thomas BordeleauTampa Bay LightningC/LW/RW6000-520413010%0437.310000000000000%10000000000000
19Viktor ArvidssonTampa Bay LightningLW/RW16000-400716129150%020612.88000000000520038.46%130000001000000
Statistiques d’équipe totales ou en moyenne2884378121-99129532831341213027910.44%131470816.351427418240511234556448.12%130100110.51211001686
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
1John GibsonTampa Bay Lightning73120.8822.9836200181520000.54511610001
2Sebastian CossaTampa Bay Lightning31200.8544.691790014960000033000
3Jakub DobesTampa Bay Lightning50400.8634.0826500181310000046000
Statistiques d’équipe totales ou en moyenne154720.8683.728070050379000111319001


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
Anthony CirelliTampa Bay LightningC/RW281997-07-15CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,250,000$5,013,021$6,250,000$5,013,021$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----Lien NHL
Aydar SunievTampa Bay LightningLW202004-11-16RUSNo198 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm923,333$740,590$923,333$740,590$No923,333$--------923,333$--------No--------
Brayden SchennTampa Bay LightningC/LW/RW341991-08-22CANNo199 Lbs6 ft1NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm6,500,000$5,213,542$6,500,000$5,213,542$No6,500,000$6,500,000$-------6,500,000$6,500,000$-------NoNo-------Lien NHL
Cale MakarTampa Bay LightningD271998-10-30CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm9,000,000$7,218,750$9,000,000$7,218,750$No9,000,000$--------9,000,000$--------No--------Lien NHL
Cody GlassTampa Bay LightningC/LW/RW261999-04-01CANNo201 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm2,500,000$2,005,208$2,500,000$2,005,208$No2,500,000$--------2,500,000$--------No--------Lien NHL
Damon SeversonTampa Bay LightningD311994-08-07CANNo204 Lbs6 ft2NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,250,000$5,013,021$6,250,000$5,013,021$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----Lien NHL
Elias PetterssonTampa Bay LightningC/LW271998-11-12SWENo176 Lbs6 ft2NoNoTrade2025-10-07NoNo52025-05-26FalseFalsePro & Farm11,600,000$9,304,167$11,600,000$9,304,167$No11,600,000$11,600,000$11,600,000$11,600,000$-----11,600,000$11,600,000$11,600,000$11,600,000$-----NoNoNoNo-----Lien NHL
Elmer SoderblomTampa Bay LightningLW242001-07-05SWENo246 Lbs6 ft8NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm1,125,000$902,344$1,125,000$902,344$No1,125,000$--------1,125,000$--------No--------Lien NHL
Jack FinleyTampa Bay LightningC232002-09-02CANNo220 Lbs6 ft6NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm775,000$621,615$775,000$621,615$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Jakub DobesTampa Bay LightningG242001-05-27CZENo215 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm965,000$774,010$965,000$774,010$No965,000$--------965,000$--------No--------Lien NHL
John GibsonTampa Bay LightningG321993-07-14USANo214 Lbs6 ft2NoNoAssign ManuallyNoYes22025-05-26FalseFalsePro & Farm6,400,000$5,133,333$6,400,000$5,133,333$No6,400,000$--------6,400,000$--------No--------Lien NHL
Jordan OesterleTampa Bay LightningD331992-06-25USANo181 Lbs6 ft0NoNoFantasy DraftNoYes12025-05-26FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------Lien NHL
Josh DoanTampa Bay LightningRW232002-02-01USANo198 Lbs6 ft2NoNoTrade2025-10-10NoNo12025-05-26FalseFalsePro & Farm925,000$741,927$925,000$741,927$No---------------------------Lien NHL
Juraj SlafkovskyTampa Bay LightningLW212004-03-30SVKNo225 Lbs6 ft3NoNoAssign ManuallyNoNo52025-07-03FalseFalsePro & Farm7,600,000$6,095,833$7,600,000$6,095,833$No7,600,000$7,600,000$7,600,000$7,600,000$-----7,600,000$7,600,000$7,600,000$7,600,000$-----NoNoNoNo-----Lien NHL
Kent JohnsonTampa Bay LightningC/LW/RW232002-10-18CANNo180 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm1,800,000$1,443,750$1,800,000$1,443,750$No1,800,000$--------1,800,000$--------No--------Lien NHL
Nathan BastianTampa Bay LightningLW/RW271997-12-06CANNo205 Lbs6 ft4NoNoAssign ManuallyNoYes12025-08-19FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------Lien NHL
Ryan McDonaghTampa Bay LightningD361989-06-13USANo219 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm6,750,000$5,414,062$6,750,000$5,414,062$No---------------------------Lien NHL
Sebastian CossaTampa Bay LightningG222002-11-21CANNo220 Lbs6 ft7NoNoTrade2025-10-23NoNo12025-05-26FalseFalsePro & Farm863,333$692,465$863,333$692,465$No---------------------------Lien NHL
Shakir MukhamadullinTampa Bay LightningD232002-01-10RUSNo200 Lbs6 ft4NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm1,000,000$802,083$1,000,000$802,083$No---------------------------Lien NHL
Thomas BordeleauTampa Bay LightningC/LW/RW232002-01-03USANo174 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------Lien NHL
Troy StecherTampa Bay LightningD311994-04-07CANNo184 Lbs5 ft10NoNoTrade2025-09-24NoYes12025-05-26FalseFalsePro & Farm787,500$631,641$787,500$631,641$No---------------------------Lien NHL
Viktor ArvidssonTampa Bay LightningLW/RW321993-04-08SWENo185 Lbs5 ft10NoNoTrade2025-10-03NoNo12025-05-26FalseFalsePro & Farm4,000,000$3,208,333$4,000,000$3,208,333$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.82201 Lbs6 ft22.233,560,871$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
78,339,166$61,688,333$38,975,000$31,700,000$31,700,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyElias PetterssonKent Johnson35014
2Brayden SchennAnthony CirelliJosh Doan35023
3Elmer SoderblomCody GlassViktor Arvidsson18122
4Aydar SunievJack FinleyNathan Bastian12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghCale Makar30122
2Shakir MukhamadullinDamon Severson30122
3Troy StecherJordan Oesterle25122
4Cale MakarRyan McDonagh15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyElias PetterssonKent Johnson50005
2Brayden SchennAnthony CirelliJosh Doan50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50014
2Shakir MukhamadullinDamon Severson50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliViktor Arvidsson50122
2Brayden SchennCody Glass50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Damon SeversonTroy Stecher50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Cirelli50122Cale MakarRyan McDonagh50122
2Brayden Schenn50122Damon SeversonTroy Stecher50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliJuraj Slafkovsky50122
2Elias PetterssonKent Johnson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Damon SeversonShakir Mukhamadullin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyElias PetterssonKent JohnsonRyan McDonaghCale Makar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden SchennAnthony CirelliKent JohnsonRyan McDonaghCale Makar
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Cirelli, Kent Johnson, Juraj SlafkovskyJuraj Slafkovsky, Kent JohnsonAnthony Cirelli
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cale Makar, Damon Severson, Shakir MukhamadullinShakir MukhamadullinShakir Mukhamadullin, Damon Severson
Tirs de pénalité
Anthony Cirelli, Brayden Schenn, Kent Johnson, Juraj Slafkovsky, Cody Glass
Gardien
#1 : Jakub Dobes, #2 : John Gibson
Lignes d’attaque personnalisées en prolongation
Anthony Cirelli, Elias Pettersson, Kent Johnson, Brayden Schenn, Juraj Slafkovsky, Cody Glass, Viktor Arvidsson, Elmer Soderblom, Josh Doan, Nathan Bastian
Lignes de défense personnalisées en prolongation
Cale Makar, Ryan McDonagh, Damon Severson, Troy Stecher, Shakir Mukhamadullin


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
1Anaheim Ducks11000000321110000003210000000000021.00036900300022115603676293266.67%30100.00%025750850.59%25951850.00%11025742.80%2013267126
2Boston Bruins1000010045-1000000000001000010045-110.50046100011203211512444101226100.00%6183.33%125750850.59%25951850.00%11025742.80%2215267146
3Chicago Blackhawks11000000413110000004130000000000021.00048120022002910154027910214375.00%50100.00%025750850.59%25951850.00%11025742.80%2113258136
4Colorado Avalanche1010000023-1000000000001010000023-100.0002350020002214440311010225120.00%50100.00%025750850.59%25951850.00%11025742.80%2114266115
5Columbus Blue Jackets11000000211000000000001100000021121.0002460010101874703821182011100.00%90100.00%025750850.59%25951850.00%11025742.80%1811278135
6Dallas Stars1000000134-11000000134-10000000000010.50035800120032109961714619300.00%30100.00%025750850.59%25951850.00%11025742.80%2719237147
7Detroit Red Wings1010000024-2000000000001010000024-200.000224001100165560276623100.00%30100.00%025750850.59%25951850.00%11025742.80%1911257147
8Nashville Predators1000000145-1000000000001000000145-110.500481200031233317121025410175120.00%50100.00%025750850.59%25951850.00%11025742.80%2616237157
9New Jersey Devils1010000015-41010000015-40000000000000.0001230001003711141201850255120.00%000%025750850.59%25951850.00%11025742.80%2720207125
10New York Rangers1010000024-21010000024-20000000000000.0002460010102711610031116284125.00%30100.00%025750850.59%25951850.00%11025742.80%2013258136
11Ottawa Senators11000000321110000003210000000000021.0003690012003113810026512155120.00%60100.00%025750850.59%25951850.00%11025742.80%2416217136
12Utah Mammoth1010000026-4000000000001010000026-400.00024600200018621002691521300.00%5180.00%025750850.59%25951850.00%11025742.80%2316237126
13Vegas Golden Knights21100000871110000004221010000045-120.50081422004130551716220531210287228.57%50100.00%025750850.59%25951850.00%11025742.80%503543132512
14Washington Capitals2110000047-31010000005-51100000042220.50046100020204224414054910343133.33%4250.00%025750850.59%25951850.00%11025742.80%463246142714
Total1667001024456-12843000012025-5824001012431-7150.469447812200211310241415311413820453132131328501428.00%62493.55%125750850.59%25951850.00%11025742.80%371250387120214106
_Since Last GM Reset1667001024456-12843000012025-5824001012431-7150.469447812200211310241415311413820453132131328501428.00%62493.55%125750850.59%25951850.00%11025742.80%371250387120214106
_Vs Conference834001001828-1041300000616-10421001001212070.4381830480075602038246714238676417120525.00%31390.32%125750850.59%25951850.00%11025742.80%1801211936010952
_Vs Division31100100911-2110000003212010010069-330.50091423003420792918284972130647114.29%15193.33%125750850.59%25951850.00%11025742.80%664373224320

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1615L5447812241445313213132800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
166701024456
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84300012025
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82401012431
Derniers 10 matchs
WLOTWOTL SOWSOL
350002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
501428.00%62493.55%1
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
153114138202113102
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
25750850.59%25951850.00%11025742.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
371250387120214106


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
311Ottawa Senators2Tampa Bay Lightning3WSommaire du match
526New Jersey Devils5Tampa Bay Lightning1LSommaire du match
740Tampa Bay Lightning4Boston Bruins5LXSommaire du match
852Tampa Bay Lightning4Washington Capitals2WSommaire du match
1172Tampa Bay Lightning2Detroit Red Wings4LSommaire du match
1282Tampa Bay Lightning2Columbus Blue Jackets1WSommaire du match
17113Chicago Blackhawks1Tampa Bay Lightning4WSommaire du match
19129Anaheim Ducks2Tampa Bay Lightning3WSommaire du match
20141Vegas Golden Knights2Tampa Bay Lightning4WSommaire du match
22156Tampa Bay Lightning4Nashville Predators5LXXSommaire du match
24169Dallas Stars4Tampa Bay Lightning3LXXSommaire du match
27194Tampa Bay Lightning2Utah Mammoth6LSommaire du match
29209Tampa Bay Lightning2Colorado Avalanche3LSommaire du match
31225Tampa Bay Lightning4Vegas Golden Knights5LSommaire du match
33236Washington Capitals5Tampa Bay Lightning0LSommaire du match
37265New York Rangers4Tampa Bay Lightning2LSommaire du match
40283Tampa Bay Lightning-Florida Panthers-
41297Vancouver Canucks-Tampa Bay Lightning-
43309New Jersey Devils-Tampa Bay Lightning-
45322Edmonton Oilers-Tampa Bay Lightning-
47341Tampa Bay Lightning-Washington Capitals-
49353Philadelphia Flyers-Tampa Bay Lightning-
51362Calgary Flames-Tampa Bay Lightning-
53377Tampa Bay Lightning-Detroit Red Wings-
54391Tampa Bay Lightning-New York Rangers-
57414Tampa Bay Lightning-New York Islanders-
59428Pittsburgh Penguins-Tampa Bay Lightning-
61446New York Islanders-Tampa Bay Lightning-
63461Tampa Bay Lightning-Toronto Maple Leafs-
64466Tampa Bay Lightning-Montreal Canadiens-
66481Tampa Bay Lightning-New Jersey Devils-
68498Tampa Bay Lightning-New York Islanders-
70514Florida Panthers-Tampa Bay Lightning-
73538Los Angeles Kings-Tampa Bay Lightning-
75557Carolina Hurricanes-Tampa Bay Lightning-
77571St. Louis Blues-Tampa Bay Lightning-
82591Tampa Bay Lightning-Florida Panthers-
83602Montreal Canadiens-Tampa Bay Lightning-
86624Tampa Bay Lightning-Anaheim Ducks-
87639Tampa Bay Lightning-Los Angeles Kings-
89649Tampa Bay Lightning-San Jose Sharks-
92668Colorado Avalanche-Tampa Bay Lightning-
96705Tampa Bay Lightning-Philadelphia Flyers-
98719Tampa Bay Lightning-Philadelphia Flyers-
99726Tampa Bay Lightning-Pittsburgh Penguins-
102751Tampa Bay Lightning-St. Louis Blues-
104767Tampa Bay Lightning-Dallas Stars-
106781San Jose Sharks-Tampa Bay Lightning-
109803Tampa Bay Lightning-Chicago Blackhawks-
110814Tampa Bay Lightning-Columbus Blue Jackets-
112825Utah Mammoth-Tampa Bay Lightning-
115847Winnipeg Jets-Tampa Bay Lightning-
118873Boston Bruins-Tampa Bay Lightning-
120886Buffalo Sabres-Tampa Bay Lightning-
122904Florida Panthers-Tampa Bay Lightning-
142912Toronto Maple Leafs-Tampa Bay Lightning-
143923Tampa Bay Lightning-Carolina Hurricanes-
145941Buffalo Sabres-Tampa Bay Lightning-
148967Tampa Bay Lightning-Minnesota Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150980Tampa Bay Lightning-Winnipeg Jets-
152994Tampa Bay Lightning-Toronto Maple Leafs-
1531003Tampa Bay Lightning-Buffalo Sabres-
1551015Columbus Blue Jackets-Tampa Bay Lightning-
1571030Detroit Red Wings-Tampa Bay Lightning-
1591049Carolina Hurricanes-Tampa Bay Lightning-
1621076Tampa Bay Lightning-Seattle Kraken-
1641090Tampa Bay Lightning-Vancouver Canucks-
1661109Tampa Bay Lightning-Edmonton Oilers-
1671116Tampa Bay Lightning-Calgary Flames-
1691127Minnesota Wild-Tampa Bay Lightning-
1711139Seattle Kraken-Tampa Bay Lightning-
1731152Ottawa Senators-Tampa Bay Lightning-
1741168Nashville Predators-Tampa Bay Lightning-
1761180Montreal Canadiens-Tampa Bay Lightning-
1781192Pittsburgh Penguins-Tampa Bay Lightning-
1801210Boston Bruins-Tampa Bay Lightning-
1821229Tampa Bay Lightning-Buffalo Sabres-
1831234Tampa Bay Lightning-Ottawa Senators-
1851248Tampa Bay Lightning-Montreal Canadiens-
1871261Tampa Bay Lightning-Boston Bruins-
1891282Detroit Red Wings-Tampa Bay Lightning-
1911302New York Rangers-Tampa Bay Lightning-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance46,06938,59515,30130,14415,282
Attendance PCT95.98%96.49%95.63%94.20%95.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 18174 - 95.65% 1,780,733$14,245,862$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
16,007,672$ 78,339,166$ 78,339,166$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
78,339,166$ 16,007,672$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
58,764,181$ 154 408,016$ 62,834,464$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
63,446,898$ 21,600,478$ 28,834,987$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
78,339,166$ 17,160,834$ 95,500,000$ 7,739,166$



Charte de profondeur

Ailier gaucheCentreAilier droit
Elias PetterssonAGE:27PO:0OV:81
Brayden SchennAGE:34PO:0OV:80
Juraj SlafkovskyAGE:21PO:0OV:75
Kent JohnsonAGE:23PO:0OV:75
Viktor ArvidssonAGE:32PO:0OV:74
Cody GlassAGE:26PO:0OV:72
Nathan BastianAGE:27PO:0OV:71
Elmer SoderblomAGE:24PO:0OV:66
Thomas BordeleauAGE:23PO:0OV:62
Aydar SunievAGE:20PO:0OV:61
Lucas VanroboysAGE:26PO:0OV:58
Anthony CirelliAGE:28PO:0OV:82
Elias PetterssonAGE:27PO:0OV:81
Brayden SchennAGE:34PO:0OV:80
Kent JohnsonAGE:23PO:0OV:75
Cody GlassAGE:26PO:0OV:72
Ryan SchmelzerAGE:32PO:0OV:63
Thomas BordeleauAGE:23PO:0OV:62
Jack FinleyAGE:23PO:0OV:61
Vasili PonomarevAGE:23PO:0OV:61
Tristan BrozAGE:23PO:0OV:59
Lucas VanroboysAGE:26PO:0OV:58
Anthony CirelliAGE:28PO:0OV:82
Brayden SchennAGE:34PO:0OV:80
Kent JohnsonAGE:23PO:0OV:75
Viktor ArvidssonAGE:32PO:0OV:74
Cody GlassAGE:26PO:0OV:72
Nathan BastianAGE:27PO:0OV:71
Josh DoanAGE:23PO:0OV:68
Thomas BordeleauAGE:23PO:0OV:62
Matt StromeAGE:26PO:0OV:59
Lucas VanroboysAGE:26PO:0OV:58
Simon RobertssonAGE:22PO:0OV:58
Felix Unger SorumAGE:20PO:0OV:57

Défense #1Défense #2Gardien
Cale MakarAGE:27PO:0OV:86
Ryan McDonaghAGE:36PO:0OV:81
Damon SeversonAGE:31PO:0OV:77
Troy StecherAGE:31PO:0OV:72
Jordan OesterleAGE:33PO:0OV:71
Josh BrownAGE:31PO:0OV:67
Shakir MukhamadullinAGE:23PO:0OV:67
Corey SchuenemanAGE:30PO:0OV:64
Ian MitchellAGE:26PO:0OV:64
Ty SmithAGE:25PO:0OV:63
Shai BuiumAGE:22PO:0OV:61
Topi NiemelaAGE:23PO:0OV:61
Taige HardingAGE:23PO:0OV:59
Adam McCormickAGE:25PO:0OV:58
Guillaume RichardAGE:22PO:0OV:58
John GibsonAGE:32PO:0OV:78
Jakub DobesAGE:24PO:0OV:68
Sebastian CossaAGE:22PO:0OV:64
Drew CommessoAGE:23PO:0OV:63
Waltteri IgnatjewAGE:25PO:0OV:60
Jacob InghamAGE:25PO:0OV:56

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
Andrei LoshkoTampa Bay Lightning2025291Fantasy DraftLien
Aron KiviharjuTampa Bay Lightning2025143Fantasy Draft2025-09-24Lien
Ayrton MartinoTampa Bay Lightning2025286Fantasy DraftLien
Carson RehkopfTampa Bay Lightning202591Fantasy Draft2025-09-26Lien
Cole EisermanTampa Bay Lightning202521Fantasy Draft2025-09-26Lien
Eriks MateikoTampa Bay Lightning2025227Fantasy DraftLien
Henry BrzustewiczTampa Bay Lightning2025108Fantasy Draft2025-10-03Lien
Jake O'brienTampa Bay Lightning20255Fantasy Draft2025-11-10Lien
Leeni HameenahoTampa Bay Lightning202594Fantasy DraftLien
Michael HrabalTampa Bay Lightning202530Fantasy DraftLien
Michal PradelTampa Bay Lightning2025163Fantasy DraftLien
Oscar Fisker MolgaardTampa Bay Lightning2025158Fantasy DraftLien
Roger McQueenTampa Bay Lightning202535Fantasy DraftLien
Sean BehrensTampa Bay Lightning2025222Fantasy DraftLien
Teddy StigaTampa Bay Lightning202599Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Tampa Bay Lightning Historique de transactions

[2025-11-10 08:17:28] TRADE : From Minnesota Wild to Tampa Bay Lightning : Jake O'brien (P).
[2025-11-10 08:17:28] TRADE : From Tampa Bay Lightning to Minnesota Wild : Y:2022-RND:0-, Y:2022-RND:0-.
[2025-11-10 08:09:35] TRADE : From Minnesota Wild to Tampa Bay Lightning : Jake O'brien (P).
[2025-11-10 08:09:35] TRADE : From Tampa Bay Lightning to Minnesota Wild : Y:2026-RND:1-MIN, Y:2027-RND:2-MIN.
[2025-10-25 10:00:37] New Record for Team's Most Hits (29) in 1 Game for Tampa Bay Lightning!
[2025-10-23 08:01:17] New Record for Team's Most Points (12) in 1 Game for Tampa Bay Lightning!
[2025-10-23 08:01:17] New Record for Team's Most Assists (8) in 1 Game for Tampa Bay Lightning!
[2025-10-23 08:00:54] TRADE : From Tampa Bay Lightning to Anaheim Ducks : Jordan Binnington (82).
[2025-10-23 08:00:54] TRADE : From Anaheim Ducks to Tampa Bay Lightning : Sebastian Cossa (64), Y:2026-RND:4-NSH, Y:2027-RND:2-ANA.
[2025-10-18 09:25:42] New Record for Team's Most Penalties Minutes (18) in 1 Game for Tampa Bay Lightning!
[2025-10-18 09:25:42] New Record for Team's Most Shots Blocked (21) in 1 Game for Tampa Bay Lightning!
[2025-10-13 09:30:47] New Record for Team's Most Hits (26) in 1 Game for Tampa Bay Lightning!
[2025-10-13 09:30:47] New Record for Team's Most Shots Blocked (10) in 1 Game for Tampa Bay Lightning!
[2025-10-13 09:30:47] New Record for Team's Most Points (10) in 1 Game for Tampa Bay Lightning!
[2025-10-13 09:30:47] New Record for Team's Most Goals (4) in 1 Game for Tampa Bay Lightning!
[2025-10-10 08:04:49] New Record for Team's Most Hits (25) in 1 Game for Tampa Bay Lightning!
[2025-10-10 08:04:49] New Record for Team's Most Shots (37) in 1 Game for Tampa Bay Lightning!
[2025-10-10 08:04:03] TRADE : From Tampa Bay Lightning to Anaheim Ducks : Cam Fowler (78).
[2025-10-10 08:04:03] TRADE : From Anaheim Ducks to Tampa Bay Lightning : Josh Doan (68), Y:2026-RND:2-ANA.
[2025-10-09 08:02:58] New Record for Team's Most Hits (15) in 1 Game for Tampa Bay Lightning!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (12) in 1 Game for Tampa Bay Lightning!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (5) in 1 Game for Tampa Bay Lightning!
[2025-10-09 08:02:58] New Record for Team's Most Shots (31) in 1 Game for Tampa Bay Lightning!
[2025-10-09 08:02:58] New Record for Team's Most Points (9) in 1 Game for Tampa Bay Lightning!
[2025-10-09 08:02:58] New Record for Team's Most Assists (6) in 1 Game for Tampa Bay Lightning!
[2025-10-09 08:02:58] New Record for Team's Most Goals (3) in 1 Game for Tampa Bay Lightning!
[2025-10-07 08:12:37] TRADE : From Tampa Bay Lightning to Boston Bruins : Hendrix Lapierre (68), Jackson Blake (71), Y:2022-RND:0-, Y:2022-RND:0-.
[2025-10-07 08:12:37] TRADE : From Boston Bruins to Tampa Bay Lightning : Elias Pettersson (81).
[2025-10-07 08:08:03] TRADE : From Tampa Bay Lightning to Boston Bruins : Hendrix Lapierre (68), Jackson Blake (71), Y:2026-RND:3-TBL, Y:2027-RND:4-TBL.
[2025-10-07 08:08:03] TRADE : From Boston Bruins to Tampa Bay Lightning : Elias Pettersson (81).
[2025-10-03 08:05:48] TRADE : From Minnesota Wild to Tampa Bay Lightning : Viktor Arvidsson (74), Henry Brzustewicz (P), Y:2026-RND:1-MIN, Y:2027-RND:2-MIN.
[2025-10-03 08:05:48] TRADE : From Tampa Bay Lightning to Minnesota Wild : Sean Monahan (78).
[2025-09-26 21:18:07] TRADE : From New York Islanders to Tampa Bay Lightning : Carson Rehkopf (P), Cole Eiserman (P).
[2025-09-26 21:18:07] TRADE : From Tampa Bay Lightning to New York Islanders : Nikolaj Ehlers (79), Y:2027-RND:3-TBL.
[2025-09-24 22:37:00] TRADE : From Tampa Bay Lightning to Carolina Hurricanes : Brian Dumoulin (78), Y:2026-RND:5-TBL.
[2025-09-24 22:37:00] TRADE : From Carolina Hurricanes to Tampa Bay Lightning : Felix Unger Sorum (57), Troy Stecher (73), Aron Kiviharju (P).
[2025-09-19 15:17:47] Garret Sparks was released.
[2025-09-19 15:17:47] Turner Ottenbreit was released.
[2025-09-19 15:17:47] Mitch McLain was released.
[2025-09-19 15:17:47] Kyle Marino was released.
[2025-09-19 15:17:47] Jake Massie was released.
[2025-09-19 15:17:47] Cameron Wright was released.
[2025-09-19 15:17:47] Axel Jonsson-Fjallby was released.
[2025-09-19 15:17:47] Austin Strand was released.
[2025-09-10 22:52:24] Syracuse Crunch hired Jessica Campbell for $1 for 5 year(s).
[2025-09-10 22:52:14] Tampa Bay Lightning hired Vicent Lecavalier for $1 for 5 year(s).
[2025-09-04 22:09:41] TRADE : From Florida Panthers to Tampa Bay Lightning : Jackson Blake (71), Y:2026-RND:2-FLA.
[2025-09-04 22:09:41] TRADE : From Tampa Bay Lightning to Florida Panthers : Pavel Buchnevich (79).



Pas de blessure ou de suspension.


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