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Tampa Bay Lightning
GP: 14 | W: 8 | L: 3 | OTL: 3 | P: 25
GF: 41 | GA: 33 | PP%: 17.19% | PK%: 84.38%
DG: JJ | Morale : 40 | Moyenne d’équipe : 76
Prochains matchs #204 vs Hamilton Mustangs

Centre de jeu
Quebec Nordiques
8-5-1, 25pts
4
1 Tampa Bay Lightning
8-3-3, 25pts
Team Stats
W4SéquenceL2
4-3-1Fiche domicile4-1-2
4-2-0Fiche visiteur4-2-1
6-4-0Derniers 10 matchs5-3-2
3.21Buts par match 2.93
2.86Buts contre par match 2.36
21.05%Pourcentage en avantage numérique17.19%
81.25%Pourcentage en désavantage numérique84.38%
Tampa Bay Lightning
8-3-3, 25pts
4
5 Philadelphia Flyers
6-7-2, 20pts
Team Stats
L2SéquenceW2
4-1-2Fiche domicile4-3-1
4-2-1Fiche visiteur2-4-1
5-3-2Derniers 10 matchs4-4-2
2.93Buts par match 2.67
2.36Buts contre par match 3.00
17.19%Pourcentage en avantage numérique20.37%
84.38%Pourcentage en désavantage numérique75.61%
Tampa Bay Lightning
8-3-3, 25pts
Jour 35
Hamilton Mustangs
9-4-1, 27pts
Statistiques d’équipe
L2SéquenceL1
4-1-2Fiche domicile7-1-0
4-2-1Fiche visiteur2-3-1
5-3-210 derniers matchs8-2-0
2.93Buts par match 3.14
2.36Buts contre par match 3.14
17.19%Pourcentage en avantage numérique17.39%
84.38%Pourcentage en désavantage numérique81.25%
Tampa Bay Lightning
8-3-3, 25pts
Jour 37
Ottawa Senators
6-6-3, 20pts
Statistiques d’équipe
L2SéquenceW2
4-1-2Fiche domicile5-1-2
4-2-1Fiche visiteur1-5-1
5-3-210 derniers matchs3-5-2
2.93Buts par match 2.67
2.36Buts contre par match 2.67
17.19%Pourcentage en avantage numérique16.13%
84.38%Pourcentage en désavantage numérique79.45%
Ottawa Senators
6-6-3, 20pts
Jour 40
Tampa Bay Lightning
8-3-3, 25pts
Statistiques d’équipe
W2SéquenceL2
5-1-2Fiche domicile4-1-2
1-5-1Fiche visiteur4-2-1
3-5-210 derniers matchs5-3-2
2.67Buts par match 2.93
3.20Buts contre par match 2.93
16.13%Pourcentage en avantage numérique17.19%
79.45%Pourcentage en désavantage numérique84.38%
Meneurs d'équipe
Buts
Robby Fabbri
5
Passes
Jesperi Kotkaniemi
11
Points
Jesperi Kotkaniemi
15
Plus/Moins
Denis Gurianov
6
Victoires
Ilya Sorokin
5
Pourcentage d’arrêts
Eric Comrie
0.93

Statistiques d’équipe
Buts pour
41
2.93 GFG
Tirs pour
442
31.57 Avg
Pourcentage en avantage numérique
17.2%
11 GF
Début de zone offensive
40.0%
Buts contre
33
2.36 GAA
Tirs contre
452
32.29 Avg
Pourcentage en désavantage numérique
84.4%%
5 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralJJ
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomAmalie Center
Capacité18,500
Assistance14,487
Billets de saison8,140


Informations de la formation

Équipe Pro23
Équipe Mineure27
Limite contact 50 / 250
Espoirs22


Finance

Revenu annuel à ce jour7,426,398$
Dépenses annuelles à ce jour14,240,357$
Revenus de la saison estimés35,010,162$
Dépenses de la saison estimées65,979,760$
Compte bancaire actuel95,843,492$
Compte bancaire projeté65,117,740$


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
1Jesperi Kotkaniemi (R)0X100.0091528087779191859285897281697255408002414,710,000$
2Alex Galchenyuk0X100.0073428587759397848883867380807055407903116,000,000$
3Nail Yakupov0X100.0077479292609393836680936881807955407903116,000,000$
4Sam Reinhart0X100.0067478989708989856784907085787855407902945,750,000$
5Brandon Hagel0X100.0084408097708888797281807581737355407802636,666,667$
6Andrew Copp0X100.0059498992768886768783787476797955407703032,600,000$
7Zach Hyman0X100.0069528071808996876182836980837955407703313,500,000$
8Andre Burakovsky0X100.0057508280778584796580817177797755407503031,750,000$
9Denis Gurianov0X100.00784683817786847563758573787776554075N02813,000,000$
10Ondrej Kase0X100.0063408188658582746680807277786455407402942,000,000$
11Jakub Vrana0X100.0062477982708282746676806876786655407302941,250,000$
12Aaron Ekblad0X100.0078519080999599805380758169788855408002945,500,000$
13Jonas Brodin0X100.0054459584809697735181708070808055407703123,000,000$
14Timothy Liljegren0X100.00824888858085917650816678687385554077N02634,200,000$
15Cody Ceci0X100.0071488976918889735175638066808655407603111,700,000$
16Matt Kessel0X100.0070488376857886745073658064738055407402521,250,000$
17Lucas Carlsson0X100.007045788380758372507565756674675540730272800,000$
18Roman Josi0X100.0057468572838486685073667465838155407203511,500,000$
Rayé
1Robby Fabbri0X98.1577458398609189907585907186787155408002945,750,000$
2Ty Emberson0X100.008047847785767670507062706273835540720253600,000$
3Josh Teves0X92.226141528453717367506463756579645540680303800,000$
Équipe Mineure
1Charles Hudon0X100.008547727762838071677471667480685540700311900,000$
2Kevin Labanc0X100.007442798161848169587172677178675540700293800,000$
3Mike Zalewski0X100.0065497768778283726575716870807555407003211,300,000$
4Nikolai Prokhorkin0X100.0071467975768080697773696971807955407003131,750,000$
5Alexey Toropchenko0X100.008552806197807764616567746575865540690261600,000$
6Martin Pospisil0X100.009945638468828261696962656773735540690253600,000$
7Saku Maenalanen0X100.0082506867837470696973706969807455406903131,500,000$
8SIMON HJALMARSSON0X100.005133677869606075707964687186945240690361300,000$
9Erik Haula0X100.0061457270697780667969667167826855406803421,500,000$
10Kyle MacLean0X100.008749767473728062696565716675715540680263500,000$
11Tanner Kero0X100.0069447978667978658269667168806555406803221,600,000$
12MATYAS KANTNER0X100.005343637081606070706776687272725240670271280,000$
13Sean Walker0X100.0072488478748486725075667066796755407203031,600,000$
14Fredrik Claesson0X100.0079438072877577695073627361807155407103211,100,000$
15Julian Melchiori0X100.007350746596798168506964716080735540710332800,000$
16Mark Pysyk0X100.0062467873868484695070647264817655407103321,100,000$
17Matt Benning0X100.008655677078798267507063706080705540710311800,000$
18DANIEL GAZDA0X100.005848817181606066487367756372825240680271260,000$
19ANTON LEVTCHI0X100.006052756976606072757572667174745240680291280,000$
20Colin Blackwell0X100.0075467572597978667869677168806755406803221,600,000$
21Victor Ejdsell0X100.005649796780727360606362706176725540650303500,000$
22CHARLES-EDOUARD D'ASTOUS0X79.005543618576606068488068806772725240700271305,000$
23Colton White0X100.005943798074717964506660696173675540680281612,000$
24FREDERIC ALLARD0X100.005843728076606063487263766272725240680271250,000$
MOYENNE D’ÉQUIPE99.32704678787680817263747172707775554072
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 Sorokin099.0083858884878788888887877867554082N02934,600,000$
2Eric Comrie0100.009070758083808282828182786155407702942,250,000$
Rayé
Équipe Mineure
1Spencer Knight (R)0100.008380838483818283838181696155407802444,000,000$
2Jacob Markstrom0100.007170739077808179798080846855407603511,250,000$
3Marek Langhamer0100.00675050826967687069676855558040650302575,000$
MOYENNE D’ÉQUIPE99.8079717484807980808079807362604076
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
1Jesperi KotkaniemiTampa Bay LightningC144111524039194818278.33%523817.03167557000040054.19%20384001.2613000220
2Sam ReinhartTampa Bay LightningLW144812-6551717448209.09%627719.853471057000002050.00%14122010.8623001200
3Brandon HagelTampa Bay LightningLW1455104181032173762213.51%520614.72000000111170123.81%2137000.9700101111
4Nail YakupovTampa Bay LightningRW145510240292528142317.86%525118.00314657000002036.36%1184000.7900000011
5Andrew CoppTampa Bay LightningC1436949512262891610.71%521915.71000001012220052.97%21944000.8200010011
6Denis GurianovTampa Bay LightningRW1444864016212061220.00%820614.78000071122300060.00%1562100.7700000010
7Robby FabbriTampa Bay LightningRW13527-680281346163110.87%1424618.99112441000002041.67%12234000.5713000102
8Zach HymanTampa Bay LightningLW1425744015162411218.33%621415.33011148000000133.33%931000.6500000011
9Jonas BrodinTampa Bay LightningD14246100221169412.50%1228820.5811255700004000%0411000.4200000000
10Aaron EkbladTampa Bay LightningD14055-340283221970%2037626.92022461000030000%0210000.2700000000
11Alex GalchenyukTampa Bay LightningC14134-42025324014212.50%1328720.501232480000130150.99%302123000.2800000000
12Ondrej KaseTampa Bay LightningRW14202000710229129.09%11309.35000000000170050.00%433000.3100000001
13Roman JosiTampa Bay LightningD9112-1552762216.67%312013.410110200000000%026000.3300100000
14Andre BurakovskyTampa Bay LightningLW14011-240912159170%21279.0900002000060040.00%521000.1600000000
15Cody CeciTampa Bay LightningD14101400202311559.09%1129421.03101346000024000%034000.0700000000
16Lucas CarlssonTampa Bay LightningD14011212018159330%1930221.63000132000014000%0410000.0700000000
17Timothy LiljegrenTampa Bay LightningD5011-255936100%38517.1500001200006000%011000.2300001000
18Ty EmbersonTampa Bay LightningD901110012165200%914215.8900000000015000%003000.1400000000
19Jakub VranaTampa Bay LightningC14000-1201288370%01027.3500000000010041.67%360100000000000
20Josh TevesTampa Bay LightningD1000000000000%266.530000000000000%00000000000000
21Matt KesselTampa Bay LightningD5000140498020%08016.0800000000017000%02500000000000
Statistiques d’équipe totales ou en moyenne2523963102694303363424421542528.82%149420916.701119304153522452296350.76%85110286110.4849213677
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 Lightning105320.9292.346150024338162000.7508104300
2Eric ComrieTampa Bay Lightning43010.9301.97244008114510000410000
Statistiques d’équipe totales ou en moyenne148330.9292.2386000324522130081414300


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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 LightningD291996-02-07CANNo216 Lbs6 ft4NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,500,000$4,505,319$0$0$No5,500,000$5,500,000$5,500,000$------5,500,000$5,500,000$5,500,000$------NoNoNo------Lien
Alex Galchenyuk (contrat à 1 volet)Tampa Bay LightningC311994-02-12USANo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm6,000,000$4,914,894$0$0$No---------------------------Lien
Andre BurakovskyTampa Bay LightningLW301995-02-09SWENo209 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,750,000$1,433,511$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Andrew Copp (contrat à 1 volet)Tampa Bay LightningC301994-07-08USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,600,000$2,129,787$0$0$No2,600,000$2,600,000$-------2,600,000$2,600,000$-------NoNo-------Lien
Brandon Hagel (contrat à 1 volet)Tampa Bay LightningLW261998-08-27CANNo174 Lbs5 ft11NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm6,666,667$5,460,993$0$0$No6,666,667$6,666,667$-------6,666,667$6,666,667$-------NoNo-------Lien
Cody CeciTampa Bay LightningD311993-12-21CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$1,392,553$0$0$No---------------------------Lien
Denis Gurianov (contrat à 1 volet)Tampa Bay LightningRW281997-06-07RUSNo205 Lbs6 ft3YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only3,000,000$2,457,447$0$0$No---------------------------Lien
Eric ComrieTampa Bay LightningG291995-07-06CANNo183 Lbs6 ft1NoNoFree AgentNoNo42025-10-20FalseFalsePro & Farm2,250,000$1,843,085$0$0$No2,250,000$2,250,000$2,250,000$------2,250,000$2,250,000$2,250,000$------NoNoNo------Lien
Ilya Sorokin (contrat à 1 volet)Tampa Bay LightningG291995-08-04RUSNo190 Lbs6 ft3YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only4,600,000$3,768,085$0$0$No4,600,000$4,600,000$-------4,600,000$4,600,000$-------YesYes-------Lien
Jakub VranaTampa Bay LightningC291996-02-28CZENo196 Lbs6 ft0NoNoFree Agent2025-10-13NoNo42025-10-24FalseFalsePro & Farm1,250,000$1,023,936$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------Lien
Jesperi Kotkaniemi (contrat à 1 volet)Tampa Bay LightningC242000-07-06FINYes201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,710,000$3,858,191$0$0$No---------------------------Lien
Jonas Brodin (contrat à 1 volet)Tampa Bay LightningD311993-07-12SWENo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,000,000$2,457,447$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Josh TevesTampa Bay LightningD301995-02-18CANNo170 Lbs6 ft0NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm800,000$655,319$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Lucas CarlssonTampa Bay LightningD271997-07-05SWENo189 Lbs6 ft0NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm800,000$655,319$0$0$No800,000$--------800,000$--------No--------Lien
Matt KesselTampa Bay LightningD252000-06-23USANo203 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,250,000$1,023,936$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Nail Yakupov (contrat à 1 volet)Tampa Bay LightningRW311993-10-06RUSNo196 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm6,000,000$4,914,894$0$0$No---------------------------Lien
Ondrej KaseTampa Bay LightningRW291995-11-08CZENo187 Lbs6 ft0NoNoFree AgentNoNo42025-10-20FalseFalsePro & Farm2,000,000$1,638,298$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Lien
Robby Fabbri (contrat à 1 volet)Tampa Bay LightningRW291996-01-22CANNo185 Lbs5 ft11NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,750,000$4,710,106$0$0$No5,750,000$5,750,000$5,750,000$------5,750,000$5,750,000$5,750,000$------NoNoNo------Lien
Roman JosiTampa Bay LightningD351990-06-01SUINo201 Lbs6 ft2NoNoTrade2026-02-03NoNo12025-09-30FalseFalsePro & Farm1,500,000$1,228,723$0$0$No---------------------------Lien
Sam Reinhart (contrat à 1 volet)Tampa Bay LightningLW291995-11-06CANNo194 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm5,750,000$4,710,106$0$0$No5,750,000$5,750,000$5,750,000$------5,750,000$5,750,000$5,750,000$------NoNoNo------Lien
Timothy Liljegren (contrat à 1 volet)Tampa Bay LightningD261999-04-30SWENo192 Lbs6 ft0YesNoFree AgentNoNo32025-10-10FalseFalsePro Only4,200,000$3,440,426$0$0$No4,200,000$4,200,000$-------4,200,000$4,200,000$-------YesYes-------Lien
Ty EmbersonTampa Bay LightningD252000-05-23USANo195 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$491,489$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Zach Hyman (contrat à 1 volet)Tampa Bay LightningLW331992-06-09CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,500,000$2,867,021$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.96196 Lbs6 ft12.523,268,551$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,176,667$48,766,667$43,716,667$22,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam ReinhartAlex GalchenyukDenis Gurianov35032
2Brandon HagelAndrew CoppNail Yakupov30023
3Zach HymanJesperi KotkaniemiOndrej Kase25023
4Andre BurakovskyAndrew CoppJakub Vrana10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladLucas Carlsson40023
2Jonas BrodinCody Ceci33023
3Matt KesselRoman Josi27023
4Aaron EkbladCody Ceci0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam ReinhartJesperi KotkaniemiNail Yakupov55014
2Zach HymanAlex GalchenyukDenis Gurianov45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladJonas Brodin56014
2Lucas CarlssonCody Ceci44014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brandon HagelDenis Gurianov57050
2Jesperi KotkaniemiOndrej Kase43050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladMatt Kessel53050
2Lucas CarlssonCody Ceci47050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brandon Hagel58050Aaron EkbladMatt Kessel56050
2Denis Gurianov42050Lucas CarlssonCody Ceci44050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex GalchenyukBrandon Hagel55023
2Jesperi KotkaniemiNail Yakupov45023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron EkbladJonas Brodin55023
2Roman JosiMatt Kessel45023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam ReinhartJesperi KotkaniemiNail YakupovAaron EkbladJonas Brodin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon HagelAlex GalchenyukDenis GurianovAaron EkbladJonas Brodin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andre Burakovsky, Jesperi Kotkaniemi, Denis GurianovDenis Gurianov, Andre BurakovskyAlex Galchenyuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Roman Josi, Lucas Carlsson, Matt KesselRoman JosiLucas Carlsson, Matt Kessel
Tirs de pénalité
Brandon Hagel, Jesperi Kotkaniemi, Sam Reinhart, Nail Yakupov, Alex Galchenyuk
Gardien
#1 : Ilya Sorokin, #2 : Eric Comrie
Lignes d’attaque personnalisées en prolongation
Zach Hyman, Jesperi Kotkaniemi, Sam Reinhart, Nail Yakupov, Alex Galchenyuk, Brandon Hagel, Andrew Copp, Ondrej Kase, Denis Gurianov, Andre Burakovsky
Lignes de défense personnalisées en prolongation
Aaron Ekblad, Jonas Brodin, Lucas Carlsson, Cody Ceci, Roman Josi


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 Bruins11000000624000000000001100000062431.00061016003300321710502910152910220.00%000%015933347.75%16931753.31%10418257.14%2313198179
2California Golden Seals1000000123-1000000000001000000123-110.33322400002027811743290278112.50%000%015933347.75%16931753.31%10418257.14%24142091910
3Carolina Hurricanes11000000321110000003210000000000031.00034700111033126150231115253133.33%5180.00%015933347.75%16931753.31%10418257.14%19102110188
4Florida Panthers11000000312000000000001100000031231.000358003000389141504012214100.00%10100.00%015933347.75%16931753.31%10418257.14%2012238167
5Los Angeles Kings1010000013-2000000000001010000013-200.000123000010279117036114204125.00%20100.00%015933347.75%16931753.31%10418257.14%1911239168
6Montreal Canadiens10000010321100000103210000000000020.667347000201287910540166263133.33%30100.00%015933347.75%16931753.31%10418257.14%2313239178
7New Jersey Devils1000010012-11000010012-10000000000010.33311200010036188913211426400.00%20100.00%115933347.75%16931753.31%10418257.14%2214238168
8New York Islanders11000000422110000004220000000000031.000471100211022769031102256233.33%10100.00%015933347.75%16931753.31%10418257.14%2011228179
9New York Rangers10000010211000000000001000001021120.667213001003381691333914429200.00%20100.00%015933347.75%16931753.31%10418257.14%2515218179
10Philadelphia Flyers1010000045-1000000000001010000045-100.0004610001210311579037101217300.00%6266.67%115933347.75%16931753.31%10418257.14%1910239178
11Pittsburgh Penguins11000000422000000000001100000042231.0004610000310234109034164253133.33%20100.00%015933347.75%16931753.31%10418257.14%1810248167
12Quebec Nordiques1010000014-31010000014-30000000000000.0001230001003115124028414248112.50%2150.00%015933347.75%16931753.31%10418257.14%23131881710
13Toronto Maple Leafs11000000624110000006240000000000031.00061117000240389131603178265120.00%40100.00%015933347.75%16931753.31%10418257.14%2315208158
14Vegas Golden Knights1000010012-11000010012-10000000000010.33312300001038178103208423400.00%2150.00%015933347.75%16931753.31%10418257.14%261617102010
Total1463002214133873100210191637320001122175250.59541631040011161244421631341381645214994336641117.19%32584.38%215933347.75%16931753.31%10418257.14%311183304126245126
_Since Last GM Reset1463002214133873100210191637320001122175250.59541631040011161244421631341381645214994336641117.19%32584.38%215933347.75%16931753.31%10418257.14%311183304126245126
_Vs Conference11620012037251263100110181445310001019118230.6973757940011168435012910411493641218626648918.75%28485.71%215933347.75%16931753.31%10418257.14%2401412429818897
_Vs Division640001101910932000100862320000101147150.83319284700106231997953664194684214826519.23%11190.91%115933347.75%16931753.31%10418257.14%132771315310253

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1425L241631044424521499433600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
146302214133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73102101916
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73200112217
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641117.19%32584.38%2
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
163134138161116124
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
15933347.75%16931753.31%10418257.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
311183304126245126


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
16Tampa Bay Lightning2New York Rangers1WXXSommaire du match
320Tampa Bay Lightning6Boston Bruins2WSommaire du match
532Carolina Hurricanes2Tampa Bay Lightning3WSommaire du match
748New Jersey Devils2Tampa Bay Lightning1LXSommaire du match
963Tampa Bay Lightning4Pittsburgh Penguins2WSommaire du match
1174Tampa Bay Lightning3Florida Panthers1WSommaire du match
1388New York Islanders2Tampa Bay Lightning4WSommaire du match
15104Tampa Bay Lightning1Los Angeles Kings3LSommaire du match
17113Vegas Golden Knights2Tampa Bay Lightning1LXSommaire du match
19127Tampa Bay Lightning2California Golden Seals3LXXSommaire du match
23146Montreal Canadiens2Tampa Bay Lightning3WXXSommaire du match
26158Toronto Maple Leafs2Tampa Bay Lightning6WSommaire du match
29173Quebec Nordiques4Tampa Bay Lightning1LSommaire du match
31183Tampa Bay Lightning4Philadelphia Flyers5LSommaire du match
35204Tampa Bay Lightning-Hamilton Mustangs-
37212Tampa Bay Lightning-Ottawa Senators-
40226Ottawa Senators-Tampa Bay Lightning-
43241Hamilton Mustangs-Tampa Bay Lightning-
47256Philadelphia Flyers-Tampa Bay Lightning-
50270Tampa Bay Lightning-Quebec Nordiques-
52281Tampa Bay Lightning-Toronto Maple Leafs-
56301Tampa Bay Lightning-Montreal Canadiens-
60317San Jose Sharks-Tampa Bay Lightning-
62332Chicago Blackhawks-Tampa Bay Lightning-
64345Colorado Avalanche-Tampa Bay Lightning-
66363Tampa Bay Lightning-St Louis Blues-
68368Florida Panthers-Tampa Bay Lightning-
70387Pittsburgh Penguins-Tampa Bay Lightning-
72403Tampa Bay Lightning-New Jersey Devils-
73410Tampa Bay Lightning-Carolina Hurricanes-
76427Vancouver Canucks-Tampa Bay Lightning-
78440Tampa Bay Lightning-Seattle Kraken-
80454Anaheim Mighty Ducks-Tampa Bay Lightning-
83464Tampa Bay Lightning-Philadelphia Flyers-
86483Tampa Bay Lightning-Hamilton Mustangs-
88493Ottawa Senators-Tampa Bay Lightning-
91510Detroit Red Wings-Tampa Bay Lightning-
94531Tampa Bay Lightning-Detroit Red Wings-
96545Winnipeg Jets-Tampa Bay Lightning-
97552Tampa Bay Lightning-Winnipeg Jets-
99566Tampa Bay Lightning-Columbus Blue Jackets-
101580Edmonton Oilers-Tampa Bay Lightning-
104594Boston Bruins-Tampa Bay Lightning-
106605New York Rangers-Tampa Bay Lightning-
109617Tampa Bay Lightning-New York Islanders-
113638Tampa Bay Lightning-Montreal Canadiens-
117655Toronto Maple Leafs-Tampa Bay Lightning-
119662Quebec Nordiques-Tampa Bay Lightning-
121673Tampa Bay Lightning-Colorado Avalanche-
123692Tampa Bay Lightning-Chicago Blackhawks-
125703Tampa Bay Lightning-San Jose Sharks-
127720California Golden Seals-Tampa Bay Lightning-
129735Tampa Bay Lightning-Vegas Golden Knights-
131747Los Angeles Kings-Tampa Bay Lightning-
134760Tampa Bay Lightning-Florida Panthers-
136777Tampa Bay Lightning-Pittsburgh Penguins-
138790New Jersey Devils-Tampa Bay Lightning-
140802Carolina Hurricanes-Tampa Bay Lightning-
144822St Louis Blues-Tampa Bay Lightning-
146834Tampa Bay Lightning-Vancouver Canucks-
149851Seattle Kraken-Tampa Bay Lightning-
151863Tampa Bay Lightning-Anaheim Mighty Ducks-
153872Columbus Blue Jackets-Tampa Bay Lightning-
155884Tampa Bay Lightning-Edmonton Oilers-
159905Philadelphia Flyers-Tampa Bay Lightning-
161923Hamilton Mustangs-Tampa Bay Lightning-
163934Tampa Bay Lightning-Ottawa Senators-
165949Tampa Bay Lightning-Quebec Nordiques-
167960Tampa Bay Lightning-Toronto Maple Leafs-
169979Montreal Canadiens-Tampa Bay Lightning-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172989Florida Panthers-Tampa Bay Lightning-
1741006Pittsburgh Penguins-Tampa Bay Lightning-
1761022Tampa Bay Lightning-New Jersey Devils-
1781033Tampa Bay Lightning-Carolina Hurricanes-
1801042Boston Bruins-Tampa Bay Lightning-
1811056Tampa Bay Lightning-Boston Bruins-
1831070Tampa Bay Lightning-New York Rangers-
1841084New York Rangers-Tampa Bay Lightning-
1861096Tampa Bay Lightning-New York Islanders-
1871108New York Islanders-Tampa Bay Lightning-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60404960208040601360
Prix des billets92513023186
Assistance34,47326,65211,76721,4577,060
Attendance PCT81.54%76.76%80.82%75.50%74.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 14487 - 78.31% 1,060,914$7,426,398$18500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
14,240,357$ 80,546,667$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 14,240,357$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
35,010,162$ 154 428,440$ 65,979,760$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
67,698,862$ 95,843,492$ 65,117,740$



Charte de profondeur

Ailier gaucheCentreAilier droit
Sam ReinhartAGE:29PO:55OV:79
Brandon HagelAGE:26PO:55OV:78
Zach HymanAGE:33PO:55OV:77
Andre BurakovskyAGE:30PO:55OV:75
Mike ZalewskiAGE:32PO:55OV:70
SIMON HJALMARSSONAGE:36PO:52OV:69
Kyle MacLeanAGE:26PO:55OV:68
MATYAS KANTNERAGE:27PO:52OV:67
Jesperi Kotkaniemi (R)AGE:24PO:55OV:80
Alex GalchenyukAGE:31PO:55OV:79
Andrew CoppAGE:30PO:55OV:77
Jakub VranaAGE:29PO:55OV:73
Nikolai ProkhorkinAGE:31PO:55OV:70
Martin PospisilAGE:25PO:55OV:69
Colin BlackwellAGE:32PO:55OV:68
Erik HaulaAGE:34PO:55OV:68
Tanner KeroAGE:32PO:55OV:68
ANTON LEVTCHIAGE:29PO:52OV:68
Robby FabbriAGE:29PO:55OV:80
Nail YakupovAGE:31PO:55OV:79
Denis GurianovAGE:28PO:55OV:75
Ondrej KaseAGE:29PO:55OV:74
Charles HudonAGE:31PO:55OV:70
Kevin LabancAGE:29PO:55OV:70
Alexey ToropchenkoAGE:26PO:55OV:69
Saku MaenalanenAGE:31PO:55OV:69
Victor EjdsellAGE:30PO:55OV:65

Défense #1Défense #2Gardien
Aaron EkbladAGE:29PO:55OV:80
Jonas BrodinAGE:31PO:55OV:77
Timothy LiljegrenAGE:26PO:55OV:77
Cody CeciAGE:31PO:55OV:76
Matt KesselAGE:25PO:55OV:74
Lucas CarlssonAGE:27PO:55OV:73
Roman JosiAGE:35PO:55OV:72
Sean WalkerAGE:30PO:55OV:72
Ty EmbersonAGE:25PO:55OV:72
Fredrik ClaessonAGE:32PO:55OV:71
Julian MelchioriAGE:33PO:55OV:71
Mark PysykAGE:33PO:55OV:71
Matt BenningAGE:31PO:55OV:71
CHARLES-EDOUARD D'ASTOUSAGE:27PO:52OV:70
Colton WhiteAGE:28PO:55OV:68
Josh TevesAGE:30PO:55OV:68
DANIEL GAZDAAGE:27PO:52OV:68
FREDERIC ALLARDAGE:27PO:52OV:68
Ilya SorokinAGE:29PO:55OV:82
Spencer Knight (R)AGE:24PO:55OV:78
Eric ComrieAGE:29PO:55OV:77
Jacob MarkstromAGE:35PO:55OV:76
Marek LanghamerAGE:30PO:80OV: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
0x TC PTSTampa Bay Lightning00
1x NSHL26 ODW ClaimTampa Bay Lightning00
900 000 NSHL25 Waiver BucksTampa Bay Lightning00
Aiden FinkTampa Bay Lightning24800Lien
Antonio StrangesTampa Bay Lightning21790Lien
Aron KiviharjuTampa Bay Lightning24530Lien
Carl LindbomTampa Bay Lightning24660Lien
Carter SavoieTampa Bay Lightning20710Lien
Eemil VinniTampa Bay Lightning24650Lien
Eric PohlkampTampa Bay Lightning231660Lien
Gannon LaroqueTampa Bay Lightning221400Lien
Jacob JulienTampa Bay Lightning241360Lien
Jan JenikTampa Bay Lightning181060Lien
Lucas EdmondsTampa Bay Lightning22770Lien
Massimo RizzoTampa Bay Lightning23820Lien
Oskar JellvikTampa Bay Lightning241240Lien
Quinn FinleyTampa Bay Lightning221410Lien
Riley DuranTampa Bay Lightning23900Lien
Rodwin DionicioTampa Bay Lightning24510Lien
Vsevolod KomarovTampa Bay Lightning24420Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
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

[2026-02-22 11:04:52 AM] New Record for Team's Most Points (17) in 1 Game for Tampa Bay Lightning!
[2026-02-22 11:04:52 AM] New Record for Team's Most Assists (11) in 1 Game for Tampa Bay Lightning!
[2026-02-03 2:14:58 PM] TRADE : From Tampa Bay Lightning to Montreal Canadiens : $100,000 (Money).
[2026-02-03 2:14:58 PM] TRADE : From Montreal Canadiens to Tampa Bay Lightning : Roman Josi (72).
[2026-02-03 2:12:01 PM] New Record for Team's Most Shots Blocked (16) in 1 Game for Tampa Bay Lightning!



CHARLES-EDOUARD D'ASTOUS est dehors pour 2 semaines à cause de Strained Right Knee Injury.
Josh Teves est dehors pour 3 jours à cause de Back 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