Recent polling for Sergipe's two Senate seats shows a fragmented field ahead of the October 4 vote, with high undecided rates keeping second-place probabilities tightly bunched among Rogério Carvalho (PT), Delegado André David (Republicanos), André Moura (União Brasil), Eduardo Amorim (Republicanos), and Delegado Alessandro (MDB). Multiple viable candidacies from competing coalitions, combined with voters selecting two names, sustain close positioning for the lower finishing spot. Late shifts in turnout among defined blocs or clearer signals from leading contenders could separate the group before election day.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiRogerio Carvalho 30%
Delegado André David 26.4%
André Moura 20%
Eduardo Amorim 13%
$30,650 Vol.
$30,650 Vol.

Rogerio Carvalho
32%

Delegado André David
18%

André Moura
20%

Eduardo Amorim
13%

Rodrigo Valadares
3%

Edvaldo
1%

Delegado Alessandro
<1%

Paulinho da União Tur
<1%

Renatinha
<1%

Coronel Rocha
<1%

Iran Barbosa
<1%
Rogerio Carvalho 30%
Delegado André David 26.4%
André Moura 20%
Eduardo Amorim 13%
$30,650 Vol.
$30,650 Vol.

Rogerio Carvalho
32%

Delegado André David
18%

André Moura
20%

Eduardo Amorim
13%

Rodrigo Valadares
3%

Edvaldo
1%

Delegado Alessandro
<1%

Paulinho da União Tur
<1%

Renatinha
<1%

Coronel Rocha
<1%

Iran Barbosa
<1%
This market will resolve according to the candidate who wins the second-most valid votes of any candidate at the specified election.
Candidates will be primarily ranked by order of valid votes won. If two or more candidates are tied for any position, ties will be broken by alphabetical order of the candidates’ listed full names as they appear in this market. This market will resolve to the candidate that occupies the second-highest finishing position after applying this ranking.
If the result of this election isn't definitively known by June 30, 2027, 11:59 PM ET, the market will resolve to "Other".
This market will resolve based on the result of the election, as indicated by a consensus of credible reporting. If there is ambiguity, this market will resolve based solely on the official results as reported by the Brazilian government, specifically the Superior Electoral Court (Tribunal Superior Eleitoral, TSE) (e.g., www.tse.jus.br/eleicoes/resultados-eleicoes).
Pasar Dibuka: Aug 17, 2026, 6:21 AM ET
Resolver
0x69c47De9D...This market will resolve according to the candidate who wins the second-most valid votes of any candidate at the specified election.
Candidates will be primarily ranked by order of valid votes won. If two or more candidates are tied for any position, ties will be broken by alphabetical order of the candidates’ listed full names as they appear in this market. This market will resolve to the candidate that occupies the second-highest finishing position after applying this ranking.
If the result of this election isn't definitively known by June 30, 2027, 11:59 PM ET, the market will resolve to "Other".
This market will resolve based on the result of the election, as indicated by a consensus of credible reporting. If there is ambiguity, this market will resolve based solely on the official results as reported by the Brazilian government, specifically the Superior Electoral Court (Tribunal Superior Eleitoral, TSE) (e.g., www.tse.jus.br/eleicoes/resultados-eleicoes).
Resolver
0x69c47De9D...Recent polling for Sergipe's two Senate seats shows a fragmented field ahead of the October 4 vote, with high undecided rates keeping second-place probabilities tightly bunched among Rogério Carvalho (PT), Delegado André David (Republicanos), André Moura (União Brasil), Eduardo Amorim (Republicanos), and Delegado Alessandro (MDB). Multiple viable candidacies from competing coalitions, combined with voters selecting two names, sustain close positioning for the lower finishing spot. Late shifts in turnout among defined blocs or clearer signals from leading contenders could separate the group before election day.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


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