Connexion

Tampa Bay Lightning
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 5
GF: 6 | GA: 2 | PP%: 7.14% | PK%: 100.00%
DG: JJ - BoD | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #34 vs New York Rangers
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Centre de jeu
Tampa Bay Lightning
2-0-0, 5pts
3
FINAL
0 Florida Panthers
0-2-0, 0pts
Team Stats
W2SéquenceL2
0-0-0Fiche domicile0-1-0
2-0-0Fiche visiteur0-1-0
2-0-0Derniers 10 matchs0-2-0
3.00Buts par match 1.50
1.00Buts contre par match 3.50
7.14%Pourcentage en avantage numérique25.00%
100.00%Pourcentage en désavantage numérique81.82%
Tampa Bay Lightning
2-0-0, 5pts
3
FINAL
2 New Jersey Devils
1-0-1, 3pts
Team Stats
W2SéquenceSOL1
0-0-0Fiche domicile0-0-1
2-0-0Fiche visiteur1-0-0
2-0-0Derniers 10 matchs1-0-1
3.00Buts par match 3.00
1.00Buts contre par match 3.00
7.14%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique91.67%
New York Rangers
0-1-1, 1pts
Jour 6
Tampa Bay Lightning
2-0-0, 5pts
Statistiques d’équipe
OTL1SéquenceW2
0-1-1Fiche domicile0-0-0
0-0-0Fiche visiteur2-0-0
0-1-110 derniers matchs2-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique7.14%
80.00%Pourcentage en désavantage numérique100.00%
Tampa Bay Lightning
2-0-0, 5pts
Jour 8
Carolina Hurricanes
1-0-1, 3pts
Statistiques d’équipe
W2SéquenceW1
0-0-0Fiche domicile0-0-1
2-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs1-0-1
3.00Buts par match 3.00
1.00Buts contre par match 3.00
7.14%Pourcentage en avantage numérique20.00%
100.00%Pourcentage en désavantage numérique100.00%
New York Islanders
2-0-0, 6pts
Jour 10
Tampa Bay Lightning
2-0-0, 5pts
Statistiques d’équipe
W2SéquenceW2
1-0-0Fiche domicile0-0-0
1-0-0Fiche visiteur2-0-0
2-0-010 derniers matchs2-0-0
3.50Buts par match 3.00
2.50Buts contre par match 3.00
22.22%Pourcentage en avantage numérique7.14%
71.43%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Jean-Gabriel PageauButs
Jean-Gabriel Pageau
1
Jean-Gabriel PageauPasses
Jean-Gabriel Pageau
2
Jean-Gabriel PageauPoints
Jean-Gabriel Pageau
3
Jean-Gabriel PageauPlus/Moins
Jean-Gabriel Pageau
2
Ilya SorokinVictoires
Ilya Sorokin
2
Ilya SorokinPourcentage d’arrêts
Ilya Sorokin
0.967

Statistiques d’équipe
Buts pour
6
3.00 GFG
Tirs pour
54
27.00 Avg
Pourcentage en avantage numérique
7.1%
1 GF
Début de zone offensive
44.9%
Buts contre
2
1.00 GAA
Tirs contre
61
30.50 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralJJ - BoD
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1Aaron Ekblad
Assistant #2


Informations de l’aréna

NomAmalie Center
Capacité18,500
Assistance
Billets de saison7,770


Informations de la formation

Équipe Pro20
Équipe Mineure29
Limite contact 49 / 250
Espoirs30


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel66,638,433$
Compte bancaire projeté66,638,433$


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
1Alex Galchenyuk0X100.007244878977959986878588758279720408003026,000,000$
2Nail Yakupov0X100.007746949460959585678295708379790408003026,000,000$
3Sam Reinhart0X100.006747898970898985678490708577780407902813,000,000$
4Marko Dano0X100.009647858970898780698083747878720407802936,100,000$
5Travis Konecny0X100.008440839853909076718380738375650407702723,000,000$
6Brandon Hagel0X100.008240809767888877728180758171730407702546,666,667$
7Denis Gurianov0X100.0078448381778682756175857378757604075N02723,000,000$
8Jean-Gabriel Pageau0X100.009645828960879072917976737479790407503114,000,000$
9Marcus Johansson0X100.007147868069879076797778687381810407403321,600,000$
10Mark Jankowski0X100.0068517974878690799075737175787604074N02914,000,000$
11Travis Boyd0X100.007346787668869471857373707379750407203031,500,000$
12Brett Connolly0X100.009152777672877972657272697480630407103221,100,000$
13Aaron Ekblad (A)0X100.007849908099959980538075816977870408002814,600,000$
14Erik Cernak0X100.009958777698868977568468826875790407902726,000,000$
15Jonas Brodin0X100.005644978679989975538372827279810407803033,000,000$
16Neal Pionk0X100.008844898872869078508570737177830407702811,650,000$
17Brett Kulak0X100.00874784857781817250756771697972040740303500,000$
18Nick Perbix0X100.00714483808076847250746675667579040730263700,000$
Rayé
Équipe Mineure
1Jesperi Kotkaniemi (R)0X100.009152808775909082898288727866720407802324,710,000$
2Brett Bulmer0X100.007850798968828273667577687380710407303212,100,000$
3Dmitrij Jaskin0X100.009447807685837970676873707179740407203111,600,000$
4Charles Hudon0X100.00854675806582827069737068737968040710302900,000$
5Teddy Blueger0X100.007644818366858668837067717178790407102911,200,000$
6Brandon McMillan0X100.006542788061828569847173697082650407003421,100,000$
7Mike Zalewski0X100.006448807077818271667470676979780407003121,300,000$
8Nic Dowd0X100.008843746774808764846765736586830407003411,500,000$
9Justin Danforth0X100.008740777671787966706667726979780407003111,600,000$
10Tye Kartye (R)0X100.009447757380788664676565726570730406902331,000,000$
11Kyle MacLean0X100.008847777473707862706565726675720406802511,500,000$
12Alexei Toropchenko0X100.00865081629578786259656572637387040680252600,000$
13Mattias Samuelsson (R)0X100.00975787719988967550806475646888040770241800,000$
14Ryan Stanton0X100.007844797490828470647462716483700407303411,200,000$
15Tim Erixon0X100.006044877478798373507564756581820407203311,300,000$
16Matt Kessel (R)0X100.007045837382758369507062756173800407102431,250,000$
17Nathan Beaulieu0X100.006663737483838368537763706579660407103121,100,000$
18Lucas Carlsson0X100.00714479847873817251736671677268040710261900,000$
19Jacob Peterson (R)0X100.00584083806581896069656266667073040670242800,000$
20Matthew Phillips0X100.00513084835070786060656169667668040650263900,000$
21Tyler Benson0X100.00754267736867756050606067637064040640262900,000$
22Fredrik Claesson0X71.218242797590747671507364726479700407203121,100,000$
23Matt Benning0X100.00895470738182857050736669637973040720302800,000$
24Jeff Petry0X100.00694582658782856850706069598683040710361950,000$
25Alex Grant0X100.00584768747872727050656569628572040680351900,000$
26Colton White0X100.00594379807471796450666069617367040680272612,000$
MOYENNE D’ÉQUIPE99.3578468179768385726474717270777504073
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
1Ilya Sorokin099.008385888487878888888787776704082N02844,600,000$
2Eric Comrie0100.0090707580838082828281827760040770281900,000$
Rayé
Équipe Mineure
1Casey DeSmith098.00857780788281828181817880680407803213,750,000$
2Spencer Knight0100.00837580848080808080797866580407602311,750,000$
3Marek Langhamer0100.0067505082696768706967685555040650293575,000$
MOYENNE D’ÉQUIPE99.408271758280798080807979716204076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jean-Gabriel PageauTampa Bay LightningC21232001330133.33%02914.9100000000080146.34%4102002.0100000100
2Sam ReinhartTampa Bay LightningRW21231001381112.50%13216.31011310000001033.33%320001.8411000001
3Nail YakupovTampa Bay LightningRW21121004152620.00%03718.7501111300000000%330001.0711000010
4Alex GalchenyukTampa Bay LightningC2011100313220%03919.80000213000010055.56%4502000.5100000000
5Marcus JohanssonTampa Bay LightningRW21010000120250.00%0168.380000000000000%100001.1900000000
6Jonas BrodinTampa Bay LightningD21011002321150.00%34824.4410111000018000%004000.4100000000
7Aaron EkbladTampa Bay LightningD2000100342100%35025.4700001300005000%01200000000000
8Brett ConnollyTampa Bay LightningLW2000000500200%0178.790000000000000%00000000000000
9Denis GurianovTampa Bay LightningLW2000260402020%03417.460000120000000100.00%20000000000000
10Mark JankowskiTampa Bay LightningC2000-120173020%13618.23000010000150050.00%261100000000000
11Brett KulakTampa Bay LightningD2000020220000%03618.2600001000000000%00000000000000
12Neal PionkTampa Bay LightningD2000000456110%54321.7200011200002000%01300000000000
13Marko DanoTampa Bay LightningLW2000-120617530%03115.9700011000000000%10000000000000
14Erik CernakTampa Bay LightningD2000140351120%23417.270000000007000%00200000000000
15Travis BoydTampa Bay LightningC2000000122120%1168.1800000000000062.50%81100000000000
16Travis KonecnyTampa Bay LightningRW2000000104120%02613.380000000016000%00100001000000
17Brandon HagelTampa Bay LightningLW2000100003010%13216.330000000038000%10000000000000
18Nick PerbixTampa Bay LightningD2000100011000%43115.880000000005000%00200000000000
Statistiques d’équipe totales ou en moyenne3656111016041395418289.26%2159916.6412391190006611149.62%131920000.3723000111
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
1Ilya SorokinTampa Bay Lightning22000.9670.961250126136000.667320100
Statistiques d’équipe totales ou en moyenne22000.9670.96125012613600320100


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
Aaron Ekblad (contrat à 1 volet)Tampa Bay LightningD281996-02-07CANNo216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm4,600,000$4,600,000$0$0$No---------------------------Lien / Lien NHL
Alex Galchenyuk (contrat à 1 volet)Tampa Bay LightningC301994-02-12USANo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm6,000,000$6,000,000$0$0$No6,000,000$--------6,000,000$--------No--------Lien NHL
Brandon Hagel (contrat à 1 volet)Tampa Bay LightningLW251998-08-27CANNo174 Lbs5 ft11NoNoFree AgentNoNo42024-08-23FalseFalsePro & Farm6,666,667$6,666,667$0$0$No6,666,667$6,666,667$6,666,667$------6,666,667$6,666,667$6,666,667$------NoNoNo------Lien / Lien NHL
Brett ConnollyTampa Bay LightningLW321992-05-02CANNo198 Lbs6 ft3NoNoFree AgentNoNo22024-09-23FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien NHL
Brett KulakTampa Bay LightningD301994-01-06CANNo196 Lbs6 ft1NoNoTrade2024-05-25NoNo3FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Denis Gurianov (contrat à 1 volet)Tampa Bay LightningLW271997-06-07RUSNo205 Lbs6 ft3YesNoN/ANoNo2FalseFalsePro Only3,000,000$3,000,000$0$0$No3,000,000$--------3,000,000$--------Yes--------Lien / Lien NHL
Eric ComrieTampa Bay LightningG281995-07-06CANNo183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien / Lien NHL
Erik Cernak (contrat à 1 volet)Tampa Bay LightningD271997-05-28SLONo225 Lbs6 ft4NoNoTrade2024-03-08NoNo2FalseFalsePro & Farm6,000,000$6,000,000$0$0$No6,000,000$--------6,000,000$--------No--------Lien / Lien NHL
Ilya Sorokin (contrat à 1 volet)Tampa Bay LightningG281995-08-04RUSNo190 Lbs6 ft3YesNoFree AgentNoNo42024-09-23FalseFalsePro Only4,600,000$4,600,000$0$0$No4,600,000$4,600,000$4,600,000$------4,600,000$4,600,000$4,600,000$------YesYesYes------Lien / Lien NHL
Jean-Gabriel Pageau (contrat à 1 volet)Tampa Bay LightningC311992-11-11CANNo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm4,000,000$4,000,000$0$0$No---------------------------Lien / Lien NHL
Jonas Brodin (contrat à 1 volet)Tampa Bay LightningD301993-07-12SWENo196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Lien / Lien NHL
Marcus JohanssonTampa Bay LightningRW331990-10-06SWENo205 Lbs5 ft11NoNoFree Agent2024-04-23NoNo22024-10-04FalseFalsePro & Farm1,600,000$1,600,000$0$0$No1,600,000$--------1,600,000$--------No--------Lien / Lien NHL
Mark Jankowski (contrat à 1 volet)Tampa Bay LightningC291994-09-13CANNo212 Lbs6 ft4YesNoTrade2024-08-28NoNo1FalseFalsePro Only4,000,000$4,000,000$0$0$No---------------------------Lien / Lien NHL
Marko Dano (contrat à 1 volet)Tampa Bay LightningLW291994-11-30SVKNo201 Lbs5 ft11NoNoFree AgentNoNo32024-09-23FalseFalsePro & Farm6,100,000$6,100,000$0$0$No6,100,000$6,100,000$-------6,100,000$6,100,000$-------NoNo-------
Nail Yakupov (contrat à 1 volet)Tampa Bay LightningRW301993-10-06RUSNo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm6,000,000$6,000,000$0$0$No6,000,000$--------6,000,000$--------No--------
Neal PionkTampa Bay LightningD281995-07-29USANo190 Lbs6 ft0NoNoTrade2024-06-17NoNo1FalseFalsePro & Farm1,650,000$1,650,000$0$0$No---------------------------Lien / Lien NHL
Nick PerbixTampa Bay LightningD261998-06-15USANo192 Lbs6 ft2NoNoFree Agent2024-10-04NoNo32024-10-07FalseFalsePro & Farm700,000$700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Sam Reinhart (contrat à 1 volet)Tampa Bay LightningRW281995-11-06CANNo194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$3,000,000$0$0$No---------------------------Lien / Lien NHL
Travis BoydTampa Bay LightningC301993-09-14USANo190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien / Lien NHL
Travis Konecny (contrat à 1 volet)Tampa Bay LightningRW271997-03-11CANNo174 Lbs5 ft10NoNoTrade2024-05-22NoNo2FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.80196 Lbs6 ft12.153,395,833$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
67,916,667$49,766,667$23,066,667$11,266,667$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon HagelAlex GalchenyukNail Yakupov33014
2Denis GurianovJean-Gabriel PageauSam Reinhart32014
3Marko DanoMark JankowskiTravis Konecny29023
4Brett ConnollyTravis BoydMarcus Johansson6032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladJonas Brodin35023
2Erik CernakNeal Pionk35023
3Nick PerbixBrett Kulak30023
4Neal PionkNick Perbix0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovAlex GalchenyukNail Yakupov54005
2Marko DanoMark JankowskiSam Reinhart46005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladNeal Pionk53023
2Jonas BrodinBrett Kulak47023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Gabriel PageauBrandon Hagel52050
2Mark JankowskiTravis Konecny48050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik CernakJonas Brodin54050
2Aaron EkbladNick Perbix46050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Galchenyuk55050Erik CernakJonas Brodin55050
2Jean-Gabriel Pageau45050Aaron EkbladNick Perbix45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex GalchenyukMarcus Johansson60014
2Jean-Gabriel PageauSam Reinhart40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladJonas Brodin50023
2Erik CernakNeal Pionk50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovAlex GalchenyukNail YakupovAaron EkbladJonas Brodin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon HagelAlex GalchenyukTravis KonecnyAaron EkbladJonas Brodin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Hagel, Travis Konecny, Marcus JohanssonBrandon Hagel, Travis KonecnyAlex Galchenyuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Perbix, Brett Kulak, Neal PionkNick PerbixNeal Pionk, Brett Kulak
Tirs de pénalité
Nail Yakupov, Travis Konecny, Sam Reinhart, Alex Galchenyuk, Brandon Hagel
Gardien
#1 : Eric Comrie, #2 : Ilya Sorokin
Lignes d’attaque personnalisées en prolongation
Nail Yakupov, Alex Galchenyuk, Brandon Hagel, Sam Reinhart, Marko Dano, Denis Gurianov, Denis Gurianov, Jean-Gabriel Pageau, Travis Konecny, Mark Jankowski, Marcus Johansson
Lignes de défense personnalisées en prolongation
Aaron Ekblad, Jonas Brodin, Neal Pionk, Erik Cernak, Nick Perbix


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
1Florida Panthers11000000303000000000001100000030331.0003470101203117590331210165120.00%50100.00%0365763.16%194641.30%102441.67%1911249157
2New Jersey Devils10000010321000000000001000001032120.667325001012234985289625900.00%30100.00%0365763.16%194641.30%102441.67%241320101911
Total21000010624000000000002100001062450.8336612011132542114175612116411417.14%80100.00%0365763.16%194641.30%102441.67%442445193518
_Since Last GM Reset21000010624000000000002100001062450.8336612011132542114175612116411417.14%80100.00%0365763.16%194641.30%102441.67%442445193518
_Vs Conference21000010624000000000002100001062450.8336612011132542114175612116411417.14%80100.00%0365763.16%194641.30%102441.67%442445193518
_Vs Division21000010624000000000002100001062450.8336612011132542114175612116411417.14%80100.00%0365763.16%194641.30%102441.67%442445193518

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
25W26612546121164101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
210001062
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
210001062
Derniers 10 matchs
WLOTWOTL SOWSOL
200000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1417.14%80100.00%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
21141751132
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
365763.16%194641.30%102441.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
442445193518


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
210Tampa Bay Lightning3Florida Panthers0WSommaire du match
422Tampa Bay Lightning3New Jersey Devils2WXXSommaire du match
634New York Rangers-Tampa Bay Lightning-
847Tampa Bay Lightning-Carolina Hurricanes-
1058New York Islanders-Tampa Bay Lightning-
1271Florida Panthers-Tampa Bay Lightning-
1482New Jersey Devils-Tampa Bay Lightning-
1696Tampa Bay Lightning-New York Rangers-
18106Carolina Hurricanes-Tampa Bay Lightning-
20119Tampa Bay Lightning-New York Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60404960208040601360
Prix des billets93523225188
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 0 - 0%0$0$18500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 77,326,667$ 0$ 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$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 16 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 66,638,433$ 66,638,433$



Charte de profondeur

Ailier gaucheCentreAilier droit
Marko DanoAGE:29PO:0OV:78
Brandon HagelAGE:25PO:0OV:77
Denis GurianovAGE:27PO:0OV:75
Dmitrij JaskinAGE:31PO:0OV:72
Brett ConnollyAGE:32PO:0OV:71
Mike ZalewskiAGE:31PO:0OV:70
Tye Kartye (R)AGE:23PO:0OV:69
Kyle MacLeanAGE:25PO:0OV:68
Jacob Peterson (R)AGE:24PO:0OV:67
Tyler BensonAGE:26PO:0OV:64
Alex GalchenyukAGE:30PO:0OV:80
Jesperi Kotkaniemi (R)AGE:23PO:0OV:78
Jean-Gabriel PageauAGE:31PO:0OV:75
Mark JankowskiAGE:29PO:0OV:74
Travis BoydAGE:30PO:0OV:72
Teddy BluegerAGE:29PO:0OV:71
Brandon McMillanAGE:34PO:0OV:70
Nic DowdAGE:34PO:0OV:70
Nail YakupovAGE:30PO:0OV:80
Sam ReinhartAGE:28PO:0OV:79
Travis KonecnyAGE:27PO:0OV:77
Marcus JohanssonAGE:33PO:0OV:74
Brett BulmerAGE:32PO:0OV:73
Charles HudonAGE:30PO:0OV:71
Justin DanforthAGE:31PO:0OV:70
Alexei ToropchenkoAGE:25PO:0OV:68
Matthew PhillipsAGE:26PO:0OV:65

Défense #1Défense #2Gardien
Aaron EkbladAGE:28PO:0OV:80
Erik CernakAGE:27PO:0OV:79
Jonas BrodinAGE:30PO:0OV:78
Neal PionkAGE:28PO:0OV:77
Mattias Samuelsson (R)AGE:24PO:0OV:77
Brett KulakAGE:30PO:0OV:74
Ryan StantonAGE:34PO:0OV:73
Nick PerbixAGE:26PO:0OV:73
Tim ErixonAGE:33PO:0OV:72
Fredrik ClaessonAGE:31PO:0OV:72
Matt BenningAGE:30PO:0OV:72
Matt Kessel (R)AGE:24PO:0OV:71
Nathan BeaulieuAGE:31PO:0OV:71
Lucas CarlssonAGE:26PO:0OV:71
Jeff PetryAGE:36PO:0OV:71
Alex GrantAGE:35PO:0OV:68
Colton WhiteAGE:27PO:0OV:68
Ilya SorokinAGE:28PO:0OV:82
Casey DeSmithAGE:32PO:0OV:78
Eric ComrieAGE:28PO:0OV:77
Spencer KnightAGE:23PO:0OV:76
Marek LanghamerAGE:29PO:0OV:65

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
0x LTCsTampa Bay Lightning00
0x RFA Tag (Brandon Hagel Y28)Tampa Bay Lightning00
20x POS Changes NSHL24Tampa Bay Lightning00
5x TC PTSTampa Bay Lightning00
6mm to acquire via trade in NSHL24Tampa Bay Lightning00
Aiden FinkTampa Bay Lightning2480Lien
Antonio StrangesTampa Bay Lightning2179Lien
Aron KiviharjuTampa Bay Lightning2453Lien
Carl LindbomTampa Bay Lightning2466Lien
Carter SavoieTampa Bay Lightning2071
Eemil VinniTampa Bay Lightning2465Lien
Elliot DesnoyersTampa Bay Lightning2288Lien
Eric PohlkampTampa Bay Lightning23166Lien
Evan VierlingTampa Bay Lightning20126
Gannon LaroqueTampa Bay Lightning22140Lien
Jack DuganTampa Bay Lightning2023Lien
Jacob JulienTampa Bay Lightning24136Lien
Jan JenikTampa Bay Lightning18106
Jonathan GrudenTampa Bay Lightning2092
Lucas EdmondsTampa Bay Lightning2277Lien
Massimo RizzoTampa Bay Lightning2382Lien
Matias MantykiviTampa Bay Lightning2294Lien
Matthew StienburgTampa Bay Lightning19113
Noah ChadwickTampa Bay Lightning24122Lien
Oskar JellvikTampa Bay Lightning24124Lien
Quinn FinleyTampa Bay Lightning22141Lien
Riley DuranTampa Bay Lightning2390Lien
Rodwin DionicioTampa Bay Lightning2451Lien
Tanner DickinsonTampa Bay Lightning22147Lien
Vsevolod KomarovTampa Bay Lightning2442Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
25
26
27
28
29
Choix au repêchage conditionnel




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




Tampa Bay Lightning Historique de transactions




Fredrik Claesson est dehors pour 3 semaines à cause de Right Eye Injury.



Tampa Bay Lightning Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Tampa Bay Lightning Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Tampa Bay Lightning Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Tampa Bay Lightning Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Tampa Bay Lightning Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA