BR

2026 Senate Model

Last updated: 23 September 2026 · Model v1.01 · statistical projection based on 366 polls · the models are not opinion polls · what changed →

Composition of the Senate

The Senate has 81 seats, three per state; this election renews two seats per state. The senators elected in 2022 hold their terms until 2031 and are drawn solid on the chart. The 54 contested this year are drawn hollow, in the colour of the central estimate.

PT — Camilo Santana (CE), elected 2022PT/PCdoB/PV — contested (projected)PT/PCdoB/PV — contested (projected)PT/PCdoB/PV — contested (projected)PT — Beto Faro (PA), elected 2022PT/PCdoB/PV — contested (projected)PT/PCdoB/PV — contested (projected)PT — Teresa Leitão (PE), elected 2022PT/PCdoB/PV — contested (projected)PT/PCdoB/PV — contested (projected)PT — Jussara Lima (PI), 1st substitute for Wellington Dias, elected 2022PDT — contested (projected)PSOL/Rede — contested (projected)PSOL/Rede — contested (projected)PDT — contested (projected)PSD — Omar Aziz (AM), elected 2022PSB — Lourdinha Pereira (MA), 2nd substitute for Flávio Dino, elected 2022MDB — Renan Filho (AL), elected 2022PSDB/Cidadania — contested (projected)PSD — Otto Alencar (BA), elected 2022PSB — contested (projected)MDB — contested (projected)MDB — contested (projected)PSD — contested (projected)PSB — contested (projected)MDB — contested (projected)MDB — contested (projected)PSD — contested (projected)PSB — contested (projected)PODEMOS — contested (projected)PSB — contested (projected)MDB — contested (projected)MDB — contested (projected)PSD — contested (projected)PSD — contested (projected)PODEMOS — contested (projected)MDB — contested (projected)União/PP — contested (projected)União/PP — contested (projected)UNIÃO — Davi Alcolumbre (AP), elected 2022União/PP — contested (projected)União/PP — contested (projected)PP — Tereza Cristina (MS), elected 2022PP — Dr. Hiran (RR), elected 2022União/PP — contested (projected)União/PP — contested (projected)PP — Laércio Oliveira (SE), elected 2022UNIÃO — Professora Dorinha Seabra (TO), elected 2022União/PP — contested (projected)União/PP — contested (projected)REPUBLICANOS — Alan Rick (AC), elected 2022NOVO — contested (projected)REPUBLICANOS — Damares Alves (DF), elected 2022REPUBLICANOS — Cleitinho (MG), elected 2022REPUBLICANOS — contested (projected)NOVO — contested (projected)REPUBLICANOS — Hamilton Mourão (RS), elected 2022REPUBLICANOS — contested (projected)REPUBLICANOS — contested (projected)PL — contested (projected)PL — Magno Malta (ES), elected 2022PL — Wilder Morais (GO), elected 2022PL — contested (projected)PL — contested (projected)PL — Wellington Fagundes (MT), elected 2022PL — contested (projected)PL — contested (projected)PL — Efraim Filho (PB), elected 2022PL — Sergio Moro (PR), elected 2022PL — contested (projected)PL — contested (projected)PL — Romário (RJ), elected 2022PL — Rogerio Marinho (RN), elected 2022PL — contested (projected)PL — Jaime Bagattoli (RO), elected 2022PL — contested (projected)PL — contested (projected)PL — Hermes Klann (SC), 1st substitute for Jorge Seif, elected 2022PL — Astronauta Marcos Pontes (SP), elected 2022PL — contested (projected)PL — contested (projected)
  • PL22
  • União/PP13
  • PT/PCdoB/PV11
  • MDB8
  • REPUBLICANOS7
  • PSD6
  • PSB5
  • PSOL/Rede2
  • PDT2
  • PODEMOS2
  • NOVO2
  • PSDB/Cidadania1
  • already settled
  • contested (projected)
majority 41

Each seat is tied to a party, but federations count as a single party on the chart. Sitting substitutes are counted according to the projection of who will hold the seat after the election, setting aside sitting senators running for state governorships.

Current composition: Senado Federal — Dados Abertos, parlamentares em exercício, retrieved 08/11/2026.

Seats by party

Central estimate by party for the 54 open seats, with an 80% confidence interval.

Projected party benches for 2027. “Today” is the size of the current bench.

05101520
  • PLholds 6128–16
  • União/PPholds 584–12
  • MDBholds 873–11
  • PT/PCdoB/PVholds 673–11
  • PSDholds 1141–7
  • PSBholds 641–7
  • REPUBLICANOSholds 230–6
  • PODEMOSholds 320–4
  • PDTholds 220–4
  • NOVOholds 120–4
  • PSOL/Redeholds 020–4
  • PSDB/Cidadaniaholds 310–3
  • AVANTEholds 100–2

80% interval

State by state

Each state elects two senators and each voter picks two names. Click a state on the map: on the right, the projected vote and each candidacy's probability of being elected.

Acre — Gladson CamelíAlagoas — Arthur LiraAmazonas — Eduardo BragaAmapá — Rayssa FurlanBahia — Rui CostaCeará — Cid GomesDistrito Federal — Michelle BolsonaroEspírito Santo — Renato CasagrandeGoiás — Gustavo GayerMaranhão — Roseana SarneyMinas Gerais — Marília CamposMato Grosso do Sul — Reinaldo AzambujaMato Grosso — Mauro MendesPará — HelderParaíba — Joao AzevêdoPernambuco — Marília ArraesPiauí — Marcelo CastroParaná — Alexandre CuriRio de Janeiro — Benedita da SilvaRio Grande do Norte — Zenaide MaiaRondônia — Dr. Fernando MáximoRoraima — Helena da AsaturRio Grande do Sul — Marcel van HattemSanta Catarina — Carol de ToniSergipe — Rogerio CarvalhoSão Paulo — Guilherme DerriteTocantins — Eduardo GomesDistrito Federal — Michelle BolsonaroDF

Click a state

AcreAC

Based on 11 polls

  • Gladson CamelíPP27.4%79%
  • Marcio BittarPL24.5%68%
  • Jorge VianaPT15.4%21%
  • Mara RochaREPUBLICANOS12.9%16%
  • PetecãoPSD9.0%8%
  • Eduardo VellosoSOLIDARIEDADE7.0%5%
  • Others3.9%3%

Confidence interval: 80%. Percentages as published on the TSE's basis, as a share of valid votes: each voter picks two names so the candidacies add up to 100%. For example, someone shown at 25% is named by about half the electorate.

How the model works

The model simulates each of the 27 Senate races tens of thousands of times. Each simulation starts from every candidacy's political structure within its own state, corrects that projection with the state polls we aggregate, adjusts uncertainty using the error Senate polls have historically shown at this point in the electoral calendar and identifies each candidate's individual chances, not those of the full slate. See the methodology.

What this model is not