Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Please rotate your device to landscape mode for a better experience.
Connexion

Tampa Bay Lightning
GP: 38 | W: 15 | L: 18 | OTL: 5 | P: 35
GF: 120 | GA: 134 | PP%: 31.25% | PK%: 86.72%
DG: Jannick Dumont | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #624 vs Anaheim Ducks

Centre de jeu
Tampa Bay Lightning
15-18-5, 35pts
2
FINAL
5 Florida Panthers
24-10-4, 52pts
Team Stats
W1SéquenceW2
10-7-3Fiche domicile14-6-3
5-11-2Fiche visiteur10-4-1
5-4-1Derniers 10 matchs6-4-0
3.16Buts par match 4.03
3.53Buts contre par match 3.18
31.25%Pourcentage en avantage numérique30.08%
86.72%Pourcentage en désavantage numérique73.48%
Montreal Canadiens
16-18-4, 36pts
1
FINAL
5 Tampa Bay Lightning
15-18-5, 35pts
Team Stats
L3SéquenceW1
11-7-2Fiche domicile10-7-3
5-11-2Fiche visiteur5-11-2
4-6-0Derniers 10 matchs5-4-1
3.50Buts par match 3.16
3.68Buts contre par match 3.53
19.86%Pourcentage en avantage numérique31.25%
86.54%Pourcentage en désavantage numérique86.72%
Tampa Bay Lightning
15-18-5, 35pts
Jour 86
Anaheim Ducks
18-19-2, 38pts
Statistiques d’équipe
W1SéquenceW1
10-7-3Fiche domicile9-8-2
5-11-2Fiche visiteur9-11-0
5-4-110 derniers matchs5-5-0
3.16Buts par match 3.56
3.53Buts contre par match 3.56
31.25%Pourcentage en avantage numérique22.76%
86.72%Pourcentage en désavantage numérique77.78%
Tampa Bay Lightning
15-18-5, 35pts
Jour 87
Los Angeles Kings
21-15-2, 44pts
Statistiques d’équipe
W1SéquenceW2
10-7-3Fiche domicile11-4-2
5-11-2Fiche visiteur10-11-0
5-4-110 derniers matchs7-3-0
3.16Buts par match 3.68
3.53Buts contre par match 3.68
31.25%Pourcentage en avantage numérique19.83%
86.72%Pourcentage en désavantage numérique81.82%
Tampa Bay Lightning
15-18-5, 35pts
Jour 89
San Jose Sharks
26-11-2, 54pts
Statistiques d’équipe
W1SéquenceL1
10-7-3Fiche domicile15-4-1
5-11-2Fiche visiteur11-7-1
5-4-110 derniers matchs3-6-1
3.16Buts par match 4.08
3.53Buts contre par match 4.08
31.25%Pourcentage en avantage numérique28.76%
86.72%Pourcentage en désavantage numérique75.93%
Meneurs d'équipe
Elias PetterssonButs
Elias Pettersson
23
Elias PetterssonPasses
Elias Pettersson
35
Elias PetterssonPoints
Elias Pettersson
58
Kent JohnsonPlus/Moins
Kent Johnson
4
John GibsonVictoires
John Gibson
7
John GibsonPourcentage d’arrêts
John Gibson
0.895

Statistiques d’équipe
Buts pour
120
3.16 GFG
Tirs pour
1076
28.32 Avg
Pourcentage en avantage numérique
31.3%
40 GF
Début de zone offensive
39.9%
Buts contre
134
3.53 GAA
Tirs contre
1140
30.00 Avg
Pourcentage en désavantage numérique
86.7%%
17 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
Assistance18,145
Billets de saison17,670


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 60
Espoirs15


Plafond salarial

Cap Salarial de la Saison estimé74,839,166$
Plafond salarial disponible20,660,834$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour35,479,536$
Dépenses annuelles à ce jour34,484,744$
Revenus de la saison estimés37,253,513$
Dépenses de la saison estimées42,096,996$
Compte bancaire actuel28,091,304$
Compte bancaire projeté30,745,283$


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 PetterssonXX99.0073459189768985867383817986767205081027511,600,000$
3Jeff SkinnerXXX99.007141817677849585597579708090800507703313,000,000$
4Juraj SlafkovskyX99.007855707592877884517877717959500507502157,600,000$
5Kent JohnsonXXX99.006241898477867982458178698163530507502321,800,000$
6Viktor ArvidssonXX100.006342807672868579477274677685750507403214,000,000$
7Cody GlassXXX100.006942857484848175757367707273630507202622,500,000$
8Nathan BastianXX100.00805874738482837052676571707666050710281775,000$
9Josh DoanX99.00754180737675687049707063695550050680231925,000$
10Elmer SoderblomX100.006940806592786768476563646557500506602421,125,000$
11Thomas BordeleauXXX100.00564371696371656653636058655950050620231775,000$
12Jack FinleyX100.00694369627461586160595763605050050610233775,000$
13Cale MakarX99.006943919577928595409190959473660508602729,000,000$
14Ryan McDonaghX99.006741857683899578407967947490850508103616,750,000$
15Damon SeversonX100.007055707682879080407672807685750507703156,250,000$
16Troy StecherX100.00685177757284867140656575718272050720311787,500$
17Jordan OesterleX100.00634282747384817040656571708575050710331775,000$
18Shakir MukhamadullinX100.006141787378776567406561696755500506702311,000,000$
Rayé
1Aydar SunievX100.00564069677576596240595959635150050610212923,333$
Équipe Mineure
1Ryan SchmelzerX99.00564566676173726563636158646561050630321775,000$
2Tristan BrozX100.00574264626162616255605955615050050590232925,000$
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$
10Lucas VanroboysXXX100.006155556464656258415255585952500505802600$
11Simon RobertssonX100.00624167626260585841555559585050050580222867,500$
12Ty SmithX100.005743667161646264406356676453500506302500$
13Topi NiemelaX100.005642716861646262406255636251500506102300$
14Taige HardingX100.006540625871595755405453625551500505902300$
15Adam McCormickX100.005940666261615855405353615752500505802500$
16Guillaume RichardX100.005840626259585756405455605850500505802200$
MOYENNE D’ÉQUIPE99.7764447371717471694866636768635805067
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 Dobes96.0077686981737576757674705250050680242965,000$
Rayé
1Sebastian Cossa100.0069626675717173707269615050050640231863,333$
Équipe Mineure
1Drew Commesso100.0072636763697174717269575050050630231925,000$
2Waltteri Ignatjew100.00686364646665676466665852500506002600$
3Jacob Ingham100.00635656676259595661605152500505602500$
MOYENNE D’ÉQUIPE99.337267697372717270727163575505065
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/LW38233558-2802499154409914.94%474719.66101222331050000114249.57%93200011.5511000364
2Cale MakarTampa Bay LightningD3893544-11300547910439738.65%6293724.6861117571040001101210%000000.9401000114
3Juraj SlafkovskyTampa Bay LightningLW3815213603159939101365414.85%673119.24371015105000010044.44%5400010.9801001135
4Anthony CirelliTampa Bay LightningC/RW38171835-1212030116139238012.23%1081921.56591424990001964150.84%107000100.8502000430
5Kent JohnsonTampa Bay LightningC/LW/RW38171835400944107356815.89%173819.43591419109000001128.57%5600000.9511000140
6Damon SeversonTampa Bay LightningD3851924-739594376219318.06%6278520.68010102995101197000%000000.6101001100
7Jeff SkinnerTampa Bay LightningC/LW/RW38141024160262973165019.18%146712.31404726000012240.91%4400001.0300000111
8Ryan McDonaghTampa Bay LightningD3871522-12320625750224314.00%5792624.37371020104000192110%000000.4800000100
9Josh DoanTampa Bay LightningRW386511-12120601140121715.00%266017.38123788000001036.36%4400000.3300000101
10Jordan OesterleTampa Bay LightningD372810-16120382118101511.11%3554114.6411221000011100%000000.3700000000
11Shakir MukhamadullinTampa Bay LightningD38088-81003123176120%3073019.21022699000036000%000000.2200000000
12Troy StecherTampa Bay LightningD38246-153555823259108.00%5463116.6111221000093000%000000.1900100000
13Cody GlassTampa Bay LightningC/LW/RW38055-156026523415320%346312.21000020002950053.43%42300000.2201000000
14Elmer SoderblomTampa Bay LightningLW38235-18120298246168.33%541610.95000050000100042.42%3300000.2400000000
15Jack FinleyTampa Bay LightningC38123-8403110921011.11%12677.03000000000130037.42%31800000.2200000000
16Viktor ArvidssonTampa Bay LightningLW/RW38213-150018385418413.70%245311.93000000000880048.72%3900000.1301000000
17Nathan BastianTampa Bay LightningLW/RW33202-41201512285257.14%42327.05000000000130015.79%1900000.1700000000
18Aydar SunievTampa Bay LightningLW30101-8003692711.11%02107.0200001000070028.57%1400000.0900000000
19Thomas BordeleauTampa Bay LightningC/LW/RW14011-520515240%01117.95000000000140021.21%3300000.1800000000
Statistiques d’équipe totales ou en moyenne684125208333-16326315712705105331768711.87%3391087215.903971110221951101678616847.81%307900120.6129102141815
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 Lightning177440.8953.0492801474490000.545111523002
2Jakub DobesTampa Bay Lightning1851200.8733.8810210066520021001714100
3Sebastian CossaTampa Bay Lightning31200.8544.691790014960000034000
Statistiques d’équipe totales ou en moyenne38131840.8813.582128011271065021113541102


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$3,515,625$6,250,000$3,515,625$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 LightningLW212004-11-16RUSNo198 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm923,333$519,375$923,333$519,375$No923,333$--------923,333$--------No--------
Cale MakarTampa Bay LightningD271998-10-30CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm9,000,000$5,062,500$9,000,000$5,062,500$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$1,406,250$2,500,000$1,406,250$No2,500,000$--------2,500,000$--------No--------Lien NHL
Damon SeversonTampa Bay LightningD311994-08-07CANNo204 Lbs6 ft2NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,250,000$3,515,625$6,250,000$3,515,625$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$6,525,000$11,600,000$6,525,000$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$632,812$1,125,000$632,812$No1,125,000$--------1,125,000$--------No--------Lien NHL
Jack FinleyTampa Bay LightningC232002-09-02CANNo220 Lbs6 ft6NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm775,000$435,938$775,000$435,938$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Jakub DobesTampa Bay LightningG242001-05-27CZENo215 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm965,000$542,812$965,000$542,812$No965,000$--------965,000$--------No--------Lien NHL
Jeff SkinnerTampa Bay LightningC/LW/RW331992-05-16CANNo200 Lbs5 ft11NoNoTrade2025-12-14NoNo12025-07-22FalseFalsePro & Farm3,000,000$1,687,500$3,000,000$1,687,500$No---------------------------Lien NHL
John GibsonTampa Bay LightningG321993-07-14USANo214 Lbs6 ft2NoNoAssign ManuallyNoYes22025-05-26FalseFalsePro & Farm6,400,000$3,600,000$6,400,000$3,600,000$No6,400,000$--------6,400,000$--------No--------Lien NHL
Jordan OesterleTampa Bay LightningD331992-06-25USANo181 Lbs6 ft0NoNoFantasy DraftNoYes12025-05-26FalseFalsePro & Farm775,000$435,938$775,000$435,938$No---------------------------Lien NHL
Josh DoanTampa Bay LightningRW232002-02-01USANo198 Lbs6 ft2NoNoTrade2025-10-10NoNo12025-05-26FalseFalsePro & Farm925,000$520,312$925,000$520,312$No---------------------------Lien NHL
Juraj SlafkovskyTampa Bay LightningLW212004-03-30SVKNo225 Lbs6 ft3NoNoAssign ManuallyNoNo52025-07-03FalseFalsePro & Farm7,600,000$4,275,000$7,600,000$4,275,000$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$1,012,500$1,800,000$1,012,500$No1,800,000$--------1,800,000$--------No--------Lien NHL
Nathan BastianTampa Bay LightningLW/RW281997-12-06CANNo205 Lbs6 ft4NoNoAssign ManuallyNoYes12025-08-19FalseFalsePro & Farm775,000$435,938$775,000$435,938$No---------------------------Lien NHL
Ryan McDonaghTampa Bay LightningD361989-06-13USANo219 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm6,750,000$3,796,875$6,750,000$3,796,875$No---------------------------Lien NHL
Sebastian CossaTampa Bay LightningG232002-11-21CANNo220 Lbs6 ft7NoNoTrade2025-10-23NoNo12025-05-26FalseFalsePro & Farm863,333$485,625$863,333$485,625$No---------------------------Lien NHL
Shakir MukhamadullinTampa Bay LightningD232002-01-10RUSNo200 Lbs6 ft4NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm1,000,000$562,500$1,000,000$562,500$No---------------------------Lien NHL
Thomas BordeleauTampa Bay LightningC/LW/RW232002-01-03USANo174 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$435,938$775,000$435,938$No---------------------------Lien NHL
Troy StecherTampa Bay LightningD311994-04-07CANNo184 Lbs5 ft10NoNoTrade2025-09-24NoYes12025-05-26FalseFalsePro & Farm787,500$442,969$787,500$442,969$No---------------------------Lien NHL
Viktor ArvidssonTampa Bay LightningLW/RW321993-04-08SWENo185 Lbs5 ft10NoNoTrade2025-10-03NoNo12025-05-26FalseFalsePro & Farm4,000,000$2,250,000$4,000,000$2,250,000$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.91201 Lbs6 ft22.143,401,780$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,839,166$55,188,333$32,475,000$31,700,000$31,700,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kent JohnsonElias PetterssonJuraj Slafkovsky35122
2Jeff SkinnerAnthony CirelliJosh Doan35122
3Elmer SoderblomCody GlassViktor Arvidsson18122
4Nathan BastianJack FinleyThomas Bordeleau12221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh30122
2Damon SeversonShakir Mukhamadullin30221
3Jordan OesterleTroy Stecher25221
4Cale MakarRyan McDonagh15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kent JohnsonElias PetterssonJuraj Slafkovsky50122
2Jeff SkinnerAnthony CirelliJosh Doan50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Damon SeversonShakir Mukhamadullin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack FinleyElmer Soderblom50122
2Thomas BordeleauNathan Bastian50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Damon SeversonTroy Stecher50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Thomas Bordeleau50122Cale MakarRyan McDonagh50122
2Jack Finley50122Damon 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 PetterssonJosh DoanCale MakarShakir Mukhamadullin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kent JohnsonAnthony CirelliCody GlassRyan McDonaghDamon Severson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Juraj Slafkovsky, Viktor Arvidsson, Cody GlassJuraj Slafkovsky, Viktor ArvidssonJuraj Slafkovsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Troy Stecher, Jordan Oesterle, Shakir MukhamadullinTroy StecherTroy Stecher, Jordan Oesterle
Tirs de pénalité
Anthony Cirelli, Elias Pettersson, Jeff Skinner, Kent Johnson, Juraj Slafkovsky
Gardien
#1 : John Gibson, #2 : Jakub Dobes, #3 : 0
Lignes d’attaque personnalisées en prolongation
Anthony Cirelli, Elias Pettersson, Jeff Skinner, Kent Johnson, Juraj Slafkovsky, Viktor Arvidsson, Cody Glass, Nathan Bastian, Josh Doan, Elmer Soderblom
Lignes de défense personnalisées en prolongation
Cale Makar, Ryan McDonagh, Damon Severson, Troy Stecher, Jordan Oesterle


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%0632127249.69%629128848.84%29563146.75%2013267126
2Boston Bruins1000010045-1000000000001000010045-110.50046100011203211512444101226100.00%6183.33%1632127249.69%629128848.84%29563146.75%2215267146
3Calgary Flames11000000532110000005320000000000021.000591400410041111614027170176233.33%000%0632127249.69%629128848.84%29563146.75%2618216127
4Carolina Hurricanes11000000523110000005230000000000021.0005914002120228590481311165360.00%3166.67%0632127249.69%629128848.84%29563146.75%2013277126
5Chicago Blackhawks11000000413110000004130000000000021.00048120022002910154027910214375.00%50100.00%0632127249.69%629128848.84%29563146.75%2113258136
6Colorado Avalanche1010000023-1000000000001010000023-100.0002350020002214440311010225120.00%50100.00%0632127249.69%629128848.84%29563146.75%2114266115
7Columbus Blue Jackets11000000211000000000001100000021121.0002460010101874703821182011100.00%90100.00%0632127249.69%629128848.84%29563146.75%1811278135
8Dallas Stars1000000134-11000000134-10000000000010.50035800120032109961714619300.00%30100.00%0632127249.69%629128848.84%29563146.75%2719237147
9Detroit Red Wings2020000048-4000000000002020000048-400.000461000112042151215052171446400.00%7271.43%0632127249.69%629128848.84%29563146.75%432748152813
10Edmonton Oilers1010000046-21010000046-20000000000000.0004812002200301313403386205360.00%3233.33%0632127249.69%629128848.84%29563146.75%2215237136
11Florida Panthers31100100910-11000010023-12110000077030.500917260052209234302801163924517571.43%12283.33%0632127249.69%629128848.84%29563146.75%644478213617
12Los Angeles Kings11000000514110000005140000000000021.0005914004010471316180185213200.00%000%0632127249.69%629128848.84%29563146.75%2822205116
13Montreal Canadiens21100000990110000005141010000048-420.50091726003600632329110641816497228.57%7185.71%0632127249.69%629128848.84%29563146.75%483246132513
14Nashville Predators1000000145-1000000000001000000145-110.500481200031233317121025410175120.00%50100.00%0632127249.69%629128848.84%29563146.75%2616237157
15New Jersey Devils31200000710-320200000310-71100000040420.33371320013220863422300711516749222.22%8187.50%0632127249.69%629128848.84%29563146.75%725270213617
16New York Islanders30300000813-51010000034-12020000059-400.000815230023306919282201082523558337.50%9188.89%0632127249.69%629128848.84%29563146.75%664374233918
17New York Rangers2110000056-11010000024-21100000032120.5005914004010532413160552184811327.27%40100.00%0632127249.69%629128848.84%29563146.75%443150152412
18Ottawa Senators11000000321110000003210000000000021.0003690012003113810026512155120.00%60100.00%0632127249.69%629128848.84%29563146.75%2416217136
19Philadelphia Flyers1010000013-21010000013-20000000000000.00011210010019559027101218400.00%60100.00%0632127249.69%629128848.84%29563146.75%2215247126
20Pittsburgh Penguins11000000523110000005230000000000021.0005813002120358918030121319300.00%2150.00%0632127249.69%629128848.84%29563146.75%2215267115
21St. Louis Blues10001000651100010006510000000000021.00061016001041349617224116245120.00%3166.67%0632127249.69%629128848.84%29563146.75%2719227137
22Toronto Maple Leafs1010000035-2000000000001010000035-200.0003690011105616182203268254125.00%4175.00%0632127249.69%629128848.84%29563146.75%2619217115
23Utah Mammoth1010000026-4000000000001010000026-400.00024600200018621002691521300.00%5180.00%0632127249.69%629128848.84%29563146.75%2316237126
24Vancouver Canucks1000010045-11000010045-10000000000010.500481200301022114703572256350.00%10100.00%0632127249.69%629128848.84%29563146.75%2417247115
25Vegas Golden Knights21100000871110000004221010000045-120.50081422004130551716220531210287228.57%50100.00%0632127249.69%629128848.84%29563146.75%503543132512
26Washington Capitals31200000510-51010000005-52110000055020.3335712003020733519190771716545120.00%7271.43%0632127249.69%629128848.84%29563146.75%674671224021
Total38141801302120134-142097012016765218511001015369-16350.46112021633611573230310763803303552211403422867721284031.25%1281786.72%1632127249.69%629128848.84%29563146.75%886608920279489244
_Since Last GM Reset38141801302120134-142097012016765218511001015369-16350.46112021633611573230310763803303552211403422867721284031.25%1281786.72%1632127249.69%629128848.84%29563146.75%886608920279489244
_Vs Conference25914002007086-161146001002936-71458001004150-9200.400701241941129212006912522072284788229203516742229.73%901385.56%1632127249.69%629128848.84%29563146.75%566386615185320158
_Vs Division1035002003239-7320001001064715001002233-1180.40032589000121370316112102984334958621228932.14%42783.33%1632127249.69%629128848.84%29563146.75%2311562427313064

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3835W11202163361076114034228677211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3814181302120134
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209712016765
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1851101015369
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1284031.25%1281786.72%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
380330355225732303
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
632127249.69%629128848.84%29563146.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
886608920279489244


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 Lightning5Florida Panthers2WSommaire du match
41297Vancouver Canucks5Tampa Bay Lightning4LXSommaire du match
43309New Jersey Devils5Tampa Bay Lightning2LSommaire du match
45322Edmonton Oilers6Tampa Bay Lightning4LSommaire du match
47341Tampa Bay Lightning1Washington Capitals3LSommaire du match
49353Philadelphia Flyers3Tampa Bay Lightning1LSommaire du match
51362Calgary Flames3Tampa Bay Lightning5WSommaire du match
53377Tampa Bay Lightning2Detroit Red Wings4LSommaire du match
54391Tampa Bay Lightning3New York Rangers2WSommaire du match
57414Tampa Bay Lightning2New York Islanders3LSommaire du match
59428Pittsburgh Penguins2Tampa Bay Lightning5WSommaire du match
61446New York Islanders4Tampa Bay Lightning3LSommaire du match
63461Tampa Bay Lightning3Toronto Maple Leafs5LSommaire du match
64466Tampa Bay Lightning4Montreal Canadiens8LSommaire du match
66481Tampa Bay Lightning4New Jersey Devils0WSommaire du match
68498Tampa Bay Lightning3New York Islanders6LSommaire du match
70514Florida Panthers3Tampa Bay Lightning2LXSommaire du match
73538Los Angeles Kings1Tampa Bay Lightning5WSommaire du match
75557Carolina Hurricanes2Tampa Bay Lightning5WSommaire du match
77571St. Louis Blues5Tampa Bay Lightning6WXSommaire du match
82591Tampa Bay Lightning2Florida Panthers5LSommaire du match
83602Montreal Canadiens1Tampa Bay Lightning5WSommaire du match
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
Assistance114,97795,70238,24676,08337,886
Attendance PCT95.81%95.70%95.62%95.10%94.72%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 18145 - 95.50% 1,773,977$35,479,536$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
34,484,744$ 74,839,166$ 74,839,166$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
74,839,166$ 34,484,744$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
37,253,513$ 108 389,787$ 42,096,996$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
42,506,754$ 28,091,304$ 30,745,283$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,839,166$ 20,660,834$ 95,500,000$ 4,239,166$



Charte de profondeur

Ailier gaucheCentreAilier droit
Elias PetterssonAGE:27PO:0OV:81
Jeff SkinnerAGE:33PO:0OV:77
Juraj SlafkovskyAGE:21PO:0OV:75
Kent JohnsonAGE:23PO:0OV:75
Viktor ArvidssonAGE:32PO:0OV:74
Cody GlassAGE:26PO:0OV:72
Nathan BastianAGE:28PO:0OV:71
Elmer SoderblomAGE:24PO:0OV:66
Thomas BordeleauAGE:23PO:0OV:62
Aydar SunievAGE:21PO:0OV:61
Lucas VanroboysAGE:26PO:0OV:58
Anthony CirelliAGE:28PO:0OV:82
Elias PetterssonAGE:27PO:0OV:81
Jeff SkinnerAGE:33PO:0OV:77
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
Jeff SkinnerAGE:33PO:0OV:77
Kent JohnsonAGE:23PO:0OV:75
Viktor ArvidssonAGE:32PO:0OV:74
Cody GlassAGE:26PO:0OV:72
Nathan BastianAGE:28PO: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:23PO:0OV:64
Drew CommessoAGE:23PO:0OV:63
Waltteri IgnatjewAGE:26PO: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

[2025-12-22 08:05:51] New Record for Team's Most Points (16) in 1 Game for Tampa Bay Lightning!
[2025-12-22 08:05:51] New Record for Team's Most Assists (10) in 1 Game for Tampa Bay Lightning!
[2025-12-22 08:05:51] New Record for Team's Most Goals (6) in 1 Game for Tampa Bay Lightning!
[2025-12-14 10:22:05] TRADE : From Tampa Bay Lightning to Columbus Blue Jackets : Brayden Schenn (80).
[2025-12-14 10:22:05] TRADE : From Columbus Blue Jackets to Tampa Bay Lightning : Jeff Skinner (77), Y:2026-RND:1-BOS.
[2025-12-08 08:12:15] New Record for Team's Most Shots (56) in 1 Game for Tampa Bay Lightning!
[2025-11-26 08:04:38] New Record for Team's Most Shots (41) in 1 Game for Tampa Bay Lightning!
[2025-11-15 09:00:34] New Record for Team's Most Points (14) in 1 Game for Tampa Bay Lightning!
[2025-11-15 09:00:34] New Record for Team's Most Assists (9) in 1 Game for Tampa Bay Lightning!
[2025-11-15 09:00:34] New Record for Team's Most Goals (5) in 1 Game for Tampa Bay Lightning!
[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