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Tampa Bay Lightning
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 7 | GA: 14 | PP%: 20.00% | PK%: 85.71%
DG: Jannick Dumont | Morale : 46 | Moyenne d’équipe : 75
Prochains matchs #53 vs Montreal Canadiens

Centre de jeu
Tampa Bay Lightning
0-3-0, 0pts
2
FINAL
4 Toronto Maple Leafs
2-0-0, 4pts
Team Stats
L3SéquenceW2
0-1-0Fiche domicile1-0-0
0-2-0Fiche visiteur1-0-0
0-3-0Derniers 10 matchs2-0-0
2.33Buts par match 4.50
4.67Buts contre par match 2.50
20.00%Pourcentage en avantage numérique20.00%
85.71%Pourcentage en désavantage numérique83.33%
Tampa Bay Lightning
0-3-0, 0pts
2
FINAL
6 Ottawa Senators
2-1-0, 4pts
Team Stats
L3SéquenceW2
0-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur0-1-0
0-3-0Derniers 10 matchs2-1-0
2.33Buts par match 4.67
4.67Buts contre par match 2.33
20.00%Pourcentage en avantage numérique28.57%
85.71%Pourcentage en désavantage numérique71.43%
Montreal Canadiens
1-1-0, 2pts
Jour 6
Tampa Bay Lightning
0-3-0, 0pts
Statistiques d’équipe
W1SéquenceL3
1-1-0Fiche domicile0-1-0
0-0-0Fiche visiteur0-2-0
1-1-010 derniers matchs0-3-0
3.50Buts par match 2.33
3.00Buts contre par match 2.33
25.00%Pourcentage en avantage numérique20.00%
77.78%Pourcentage en désavantage numérique85.71%
Ottawa Senators
2-1-0, 4pts
Jour 8
Tampa Bay Lightning
0-3-0, 0pts
Statistiques d’équipe
W2SéquenceL3
2-0-0Fiche domicile0-1-0
0-1-0Fiche visiteur0-2-0
2-1-010 derniers matchs0-3-0
4.67Buts par match 2.33
2.33Buts contre par match 2.33
28.57%Pourcentage en avantage numérique20.00%
71.43%Pourcentage en désavantage numérique85.71%
Tampa Bay Lightning
0-3-0, 0pts
Jour 9
Detroit Red Wings
1-1-0, 2pts
Statistiques d’équipe
L3SéquenceL1
0-1-0Fiche domicile1-0-0
0-2-0Fiche visiteur0-1-0
0-3-010 derniers matchs1-1-0
2.33Buts par match 3.50
4.67Buts contre par match 3.50
20.00%Pourcentage en avantage numérique25.00%
85.71%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Cale MakarButs
Cale Makar
1
Brayden SchennPasses
Brayden Schenn
3
Brayden SchennPoints
Brayden Schenn
3
Cody GlassPlus/Moins
Cody Glass
1
Jordan BinningtonVictoires
Jordan Binnington
0
Jordan BinningtonPourcentage d’arrêts
Jordan Binnington
0.815

Statistiques d’équipe
Buts pour
7
2.33 GFG
Tirs pour
63
21.00 Avg
Pourcentage en avantage numérique
20.0%
2 GF
Début de zone offensive
39.3%
Buts contre
14
4.67 GAA
Tirs contre
74
24.67 Avg
Pourcentage en désavantage numérique
85.7%%
1 GA
Début de la zone défensive
38.8%
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
Assistance0
Billets de saison17,670


Informations de la formation

Équipe Pro21
Équipe Mineure21
Limite contact 42 / 60
Espoirs10


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible95,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,000,000$
Compte bancaire projeté20,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur 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 CirelliXX100.006842799278898786757981888679690468102856,250,000$
2Brayden SchennXXX100.007974697779889486778079748191920468003436,500,000$
3Nikolaj EhlersXX100.006849868572868888498180718584740467902958,500,000$
4Sean MonahanX100.006442867980898885818078748187770467903045,500,000$
5Juraj SlafkovskyX100.007855707592877884517877717959500467502157,600,000$
6Kent JohnsonXXX100.006241898477867982458178698163530467502221,800,000$
7Cody GlassXXX100.006942857484848175757367707273630467202622,500,000$
8Jackson BlakeX100.00734077827382717549737367765550046710225905,833$
9Nathan BastianXX100.00805874738482837052676571707666046710271775,000$
10Hendrix LapierreXX100.00634082767678726860696266696253046680231850,000$
11Elmer SoderblomX100.006940806592786768476563646557500466602421,125,000$
12Thomas BordeleauXXX100.00564371696371656653636058655950046630231775,000$
13Cale MakarX100.006943919577928595409190959473660468602629,000,000$
14Ryan McDonaghX100.006741857683899578407967947490850468103616,750,000$
15Brian DumoulinX100.007242927584889276407467857387770467803434,000,000$
16Cam FowlerX100.006242897582919383408174787790820467803316,500,000$
17Damon SeversonX100.007055707682879080407672807685750467703156,250,000$
18Shakir MukhamadullinX100.006141787378776567406561696755500466702311,000,000$
Rayé
Équipe Mineure
1Ryan SchmelzerX100.00564566676173726563636158646561053630321775,000$
2Aydar SunievX100.00564069677576596240595959635150053610202923,333$
3Jack FinleyX100.00694369627461586160595763605050053610233775,000$
4Tristan BrozX100.00574264626162616255605955615050053590222925,000$
5Simon RobertssonX100.00624167626260585841555559585050053580222867,500$
6Jordan OesterleX100.00634282747384817040656571708575053710331775,000$
7Josh BrownX100.006962586477757363405756716175590536603121,000,000$
8Ian MitchellX100.00584172726068656340635668646050053640261775,000$
9Corey SchuenemanX100.00604272666370696440605568615950053630301775,000$
10Shai BuiumX100.00634167626562616140615564595050053610222925,000$
11Vasili PonomarevX100.005843686962646263626357576351500486102300$
12Matt StromeX100.006344676168676560425753595854500485902600$
13Lucas VanroboysXXX100.006155556464656258415255585952500485802600$
14Ty SmithX100.005743667161646264406356676453500486302500$
15Topi NiemelaX100.005642716861646262406255636251500486102300$
16Taige HardingX100.006540625871595755405453625551500485902300$
17Adam McCormickX100.005940666261615855405353615752500485802500$
18Guillaume RichardX100.005840626259585756405455605850500485802200$
MOYENNE D’ÉQUIPE100.0064457472737573704967646969655904868
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
1Jordan Binnington100.00919395739391889090938584770428203226,000,000$
2John Gibson100.00829091858984808182878087800477803226,400,000$
Rayé
1Jakub Dobes100.0077686981737576757674705250048690242965,000$
Équipe Mineure
1Drew Commesso100.0072636763697174717269575050054640231925,000$
2Waltteri Ignatjew100.00686364646665676466665852500496002500$
3Jacob Ingham100.00635656676259595661605152500495602500$
MOYENNE D’ÉQUIPE100.007672747275747473757567636004868
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
1Brayden SchennTampa Bay LightningC/LW/RW3033140557350%04013.5700000000030048.94%4700001.4700000000
2Cale MakarTampa Bay LightningD3123-3405330733.33%37424.961012800004000%000000.8000000000
3Cody GlassTampa Bay LightningC/LW/RW31231002453220.00%04314.33000000000500100.00%100001.4000000000
4Ryan McDonaghTampa Bay LightningD3033-100552320%27224.070220800004000%000000.8300000000
5Damon SeversonTampa Bay LightningD3112-10073105100.00%14715.680000000002000%000000.8500000010
6Anthony CirelliTampa Bay LightningC/RW3101-30033105910.00%15819.5100016000060043.10%5800000.3400000000
7Cam FowlerTampa Bay LightningD3101-3005221250.00%26020.100001700006000%000000.3300000000
8Nikolaj EhlersTampa Bay LightningLW/RW3101-3002630733.33%05217.4410126000000050.00%200000.3800000000
9Sean MonahanTampa Bay LightningC3011-300055560%05618.9301109000010058.67%7500000.3500000000
10Shakir MukhamadullinTampa Bay LightningD3101-4004020050.00%14715.820000000000000%000000.4200000000
11Brian DumoulinTampa Bay LightningD3000-440124210%05819.360003700003000%00000000000000
12Elmer SoderblomTampa Bay LightningLW3000100110020%13712.58000000000000100.00%10000000000000
13Hendrix LapierreTampa Bay LightningC/RW3000-300141000%0248.0800000000000038.46%260000000000000
14Jackson BlakeTampa Bay LightningRW3000-320733000%15919.8300009000040050.00%20000000000000
15Juraj SlafkovskyTampa Bay LightningLW3000-300614150%05317.7300006000000025.00%40000000000000
16Kent JohnsonTampa Bay LightningC/LW/RW3000-300049240%05418.2700009000000025.00%40000000000000
17Nathan BastianTampa Bay LightningLW/RW3000-300202010%1248.00000000000000100.00%10000000000000
18Thomas BordeleauTampa Bay LightningC/LW/RW3000-300110000%0248.0000000000000033.33%30000000000000
Statistiques d’équipe totales ou en moyenne5471219-40140575263255811.11%1388816.462359800000440049.11%22400000.4300000010
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 Lightning10000.7786.321900290000003000
2Jordan BinningtonTampa Bay Lightning30300.8154.531590012650100030000
Statistiques d’équipe totales ou en moyenne40300.8114.72178001474010033000


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$6,250,000$6,250,000$6,250,000$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
Brayden SchennTampa Bay LightningC/LW/RW341991-08-22CANNo199 Lbs6 ft1NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm6,500,000$6,500,000$6,500,000$6,500,000$No6,500,000$6,500,000$-------6,500,000$6,500,000$-------NoNo-------Lien NHL
Brian DumoulinTampa Bay LightningD341991-09-06USANo214 Lbs6 ft4NoNoAssign ManuallyNoNo32025-07-02FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$4,000,000$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien NHL
Cale MakarTampa Bay LightningD261998-10-30CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm9,000,000$9,000,000$9,000,000$9,000,000$No9,000,000$--------9,000,000$--------No--------Lien NHL
Cam FowlerTampa Bay LightningD331991-12-05CANNo210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm6,500,000$6,500,000$6,500,000$6,500,000$No---------------------------Lien NHL
Cody GlassTampa Bay LightningC/LW/RW261999-04-01CANNo201 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$--------2,500,000$--------No--------Lien NHL
Damon SeversonTampa Bay LightningD311994-08-07CANNo204 Lbs6 ft2NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,250,000$6,250,000$6,250,000$6,250,000$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
Elmer SoderblomTampa Bay LightningLW242001-07-05SWENo246 Lbs6 ft8NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm1,125,000$1,125,000$1,125,000$1,125,000$No1,125,000$--------1,125,000$--------No--------Lien NHL
Hendrix LapierreTampa Bay LightningC/RW232002-02-09CANNo180 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm850,000$850,000$850,000$850,000$No---------------------------Lien NHL
Jackson BlakeTampa Bay LightningRW222003-08-03USANo178 Lbs5 ft11NoNoTrade2025-09-04NoNo52025-08-19FalseFalsePro & Farm905,833$905,833$905,833$905,833$No5,117,002$5,117,002$5,117,002$5,117,002$-----5,117,002$5,117,002$5,117,002$5,117,002$-----NoNoNoNo-----Lien NHL
Jakub DobesTampa Bay LightningG242001-05-27CZENo215 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-22FalseFalsePro & Farm965,000$965,000$965,000$965,000$No965,000$--------965,000$--------No--------Lien NHL
John GibsonTampa Bay LightningG321993-07-14USANo214 Lbs6 ft2NoNoAssign ManuallyNoYes22025-05-26FalseFalsePro & Farm6,400,000$6,400,000$6,400,000$6,400,000$No6,400,000$--------6,400,000$--------No--------Lien NHL
Jordan BinningtonTampa Bay LightningG321993-07-11CANNo172 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm6,000,000$6,000,000$6,000,000$6,000,000$No6,000,000$--------6,000,000$--------No--------Lien NHL
Juraj SlafkovskyTampa Bay LightningLW212004-03-30SVKNo225 Lbs6 ft3NoNoAssign ManuallyNoNo52025-07-03FalseFalsePro & Farm7,600,000$7,600,000$7,600,000$7,600,000$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/RW222002-10-18CANNo180 Lbs6 ft0NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm1,800,000$1,800,000$1,800,000$1,800,000$No1,800,000$--------1,800,000$--------No--------Lien NHL
Nathan BastianTampa Bay LightningLW/RW271997-12-06CANNo205 Lbs6 ft4NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$775,000$775,000$775,000$No---------------------------Lien NHL
Nikolaj EhlersTampa Bay LightningLW/RW291996-02-14DNKNo172 Lbs6 ft0NoNoAssign ManuallyNoNo52025-07-03FalseFalsePro & Farm8,500,000$8,500,000$8,500,000$8,500,000$No8,500,000$8,500,000$8,500,000$8,500,000$-----8,500,000$8,500,000$8,500,000$8,500,000$-----NoNoNoNo-----Lien NHL
Ryan McDonaghTampa Bay LightningD361989-06-13USANo219 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm6,750,000$6,750,000$6,750,000$6,750,000$No---------------------------Lien NHL
Sean MonahanTampa Bay LightningC301994-10-12CANNo197 Lbs6 ft2NoNoAssign ManuallyNoNo42025-05-26FalseFalsePro & Farm5,500,000$5,500,000$5,500,000$5,500,000$No5,500,000$5,500,000$5,500,000$------5,500,000$5,500,000$5,500,000$------NoNoNo------Lien NHL
Shakir MukhamadullinTampa Bay LightningD232002-01-10RUSNo200 Lbs6 ft4NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$1,000,000$No---------------------------Lien NHL
Thomas BordeleauTampa Bay LightningC/LW/RW232002-01-03USANo174 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$775,000$775,000$775,000$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.62199 Lbs6 ft22.624,283,135$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
89,945,833$77,507,002$49,717,002$39,217,002$33,717,002$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyAnthony CirelliNikolaj Ehlers30122
2Kent JohnsonSean MonahanJackson Blake30122
3Elmer SoderblomBrayden SchennCody Glass25122
4Thomas BordeleauHendrix LapierreNathan Bastian15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam FowlerCale Makar30122
2Ryan McDonaghDamon Severson30122
3Brian DumoulinShakir Mukhamadullin25122
4Cale MakarRyan McDonagh15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyAnthony CirelliNikolaj Ehlers50122
2Kent JohnsonSean MonahanJackson Blake50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Brian DumoulinCam Fowler50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliCody Glass50122
2Brayden SchennJackson Blake50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Brian DumoulinCam Fowler50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Cirelli50122Cale MakarRyan McDonagh50122
2Brayden Schenn50122Brian DumoulinCam Fowler50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliNikolaj Ehlers50122
2Sean MonahanKent Johnson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarRyan McDonagh50122
2Brian DumoulinCam Fowler50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kent JohnsonAnthony CirelliJackson BlakeCale MakarRyan McDonagh
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyAnthony CirelliNikolaj EhlersCale MakarRyan McDonagh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Monahan, Kent Johnson, Juraj SlafkovskySean Monahan, Kent JohnsonSean Monahan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Fowler, Damon Severson, Shakir MukhamadullinCam FowlerCam Fowler, Damon Severson
Tirs de pénalité
Anthony Cirelli, Brayden Schenn, Kent Johnson, Nikolaj Ehlers, Sean Monahan
Gardien
#1 : Jordan Binnington, #2 : John Gibson
Lignes d’attaque personnalisées en prolongation
Anthony Cirelli, Brayden Schenn, Kent Johnson, Nikolaj Ehlers, Sean Monahan, Jackson Blake, Juraj Slafkovsky, Cody Glass, Nathan Bastian, Hendrix Lapierre
Lignes de défense personnalisées en prolongation
Cale Makar, Ryan McDonagh, Brian Dumoulin, Cam Fowler, Damon Severson


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
1Boston Bruins1010000034-11010000034-10000000000000.00035800021022108403032224125.00%110.00%0458851.14%428748.28%234946.94%2518226126
2Ottawa Senators1010000026-4000000000001010000026-400.0002350001101937902268203133.33%40100.00%0458851.14%428748.28%234946.94%2418246115
3Toronto Maple Leafs1010000024-2000000000001010000024-200.0002460002002219120224415300.00%20100.00%0458851.14%428748.28%234946.94%2518227125
Total30300000714-71010000034-120200000410-600.000712190005206314242507413145710220.00%7185.71%0458851.14%428748.28%234946.94%755569193517
_Since Last GM Reset30300000714-71010000034-120200000410-600.000712190005206314242507413145710220.00%7185.71%0458851.14%428748.28%234946.94%755569193517
_Vs Conference30300000714-71010000034-120200000410-600.000712190005206314242507413145710220.00%7185.71%0458851.14%428748.28%234946.94%755569193517
_Vs Division30300000714-71010000034-120200000410-600.000712190005206314242507413145710220.00%7185.71%0458851.14%428748.28%234946.94%755569193517

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
30L371219637413145700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3030000714
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000410
Derniers 10 matchs
WLOTWOTL SOWSOL
030000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10220.00%7185.71%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
14242500520
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
458851.14%428748.28%234946.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
755569193517


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
13Boston Bruins4Tampa Bay Lightning3LSommaire du match
329Tampa Bay Lightning2Toronto Maple Leafs4LSommaire du match
440Tampa Bay Lightning2Ottawa Senators6LSommaire du match
653Montreal Canadiens-Tampa Bay Lightning-
873Ottawa Senators-Tampa Bay Lightning-
978Tampa Bay Lightning-Detroit Red Wings-
1093Tampa Bay Lightning-Boston Bruins-
14119Detroit Red Wings-Tampa Bay Lightning-
16142Buffalo Sabres-Tampa Bay Lightning-
18159Tampa Bay Lightning-Montreal Canadiens-
20176Toronto Maple Leafs-Tampa Bay Lightning-
21182Tampa Bay Lightning-Florida Panthers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
24201Florida Panthers-Tampa Bay Lightning-
26214Tampa Bay Lightning-Buffalo Sabres-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 89,945,833$ 89,945,833$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 24 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,000,000$ 20,000,000$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 95,500,000$ 95,500,000$ -70,600,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brayden SchennAGE:34PO:0OV:80
Nikolaj EhlersAGE:29PO:0OV:79
Juraj SlafkovskyAGE:21PO:0OV:75
Kent JohnsonAGE:22PO:0OV:75
Cody GlassAGE:26PO:0OV:72
Nathan BastianAGE:27PO:0OV:71
Elmer SoderblomAGE:24PO:0OV:66
Thomas BordeleauAGE:23PO:0OV:63
Aydar SunievAGE:20PO:0OV:61
Lucas VanroboysAGE:26PO:0OV:58
Anthony CirelliAGE:28PO:0OV:81
Brayden SchennAGE:34PO:0OV:80
Sean MonahanAGE:30PO:0OV:79
Kent JohnsonAGE:22PO:0OV:75
Cody GlassAGE:26PO:0OV:72
Hendrix LapierreAGE:23PO:0OV:68
Ryan SchmelzerAGE:32PO:0OV:63
Thomas BordeleauAGE:23PO:0OV:63
Jack FinleyAGE:23PO:0OV:61
Vasili PonomarevAGE:23PO:0OV:61
Tristan BrozAGE:22PO:0OV:59
Lucas VanroboysAGE:26PO:0OV:58
Anthony CirelliAGE:28PO:0OV:81
Brayden SchennAGE:34PO:0OV:80
Nikolaj EhlersAGE:29PO:0OV:79
Kent JohnsonAGE:22PO:0OV:75
Cody GlassAGE:26PO:0OV:72
Jackson BlakeAGE:22PO:0OV:71
Nathan BastianAGE:27PO:0OV:71
Hendrix LapierreAGE:23PO:0OV:68
Thomas BordeleauAGE:23PO:0OV:63
Matt StromeAGE:26PO:0OV:59
Lucas VanroboysAGE:26PO:0OV:58
Simon RobertssonAGE:22PO:0OV:58

Défense #1Défense #2Gardien
Cale MakarAGE:26PO:0OV:86
Ryan McDonaghAGE:36PO:0OV:81
Brian DumoulinAGE:34PO:0OV:78
Cam FowlerAGE:33PO:0OV:78
Damon SeversonAGE:31PO:0OV:77
Jordan OesterleAGE:33PO:0OV:71
Shakir MukhamadullinAGE:23PO:0OV:67
Josh BrownAGE:31PO:0OV:66
Ian MitchellAGE:26PO:0OV:64
Corey SchuenemanAGE:30PO:0OV:63
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
Jordan BinningtonAGE:32PO:0OV:82
John GibsonAGE:32PO:0OV:78
Jakub DobesAGE:24PO:0OV:69
Drew CommessoAGE:23PO:0OV:64
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
Ayrton MartinoTampa Bay Lightning2025286Fantasy DraftLien
Eriks MateikoTampa Bay Lightning2025227Fantasy DraftLien
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

[2025-09-19 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