Jacuipense vs Bahia de Feira: result 4-1 and analysis
Baiano - 11st Phase - 2Kick-off on January 26, 2020 at 07:00 PM (UTC)Estádio Eliel Martins, Riachão do Jacuípe, Bahia
Full time
What was the result of Jacuipense vs Bahia de Feira?
Jacuipense won 4-1 on January 26, 2020.
Goalscorers
- 36′Wesley PopóJacuipense
- 73′ThiaguinhoJacuipense
- 78′DeonBahia de Feira
- 90′EudairJacuipense
- 90′Rafael BastosJacuipense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jacuipense have 8 wins, 4 draws and 3 defeats; Bahia de Feira have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2020 | Vitoria Da Conquista(away) | 2-2 | Baiano - 1 |
| Aug 3, 2019 | Manaus FC(away) | 0-1 | Serie D |
| Jul 28, 2019 | Manaus FC(home) | 1-1 | Serie D |
| Jul 21, 2019 | Floresta(home) | 1-0 | Serie D |
| Jul 15, 2019 | Floresta(away) | 2-2 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2020 | Atlanta(home) | 4-1 | Baiano - 1 |
| Jun 9, 2019 | América PE(home) | 3-1 | Serie D |
| Jun 1, 2019 | Serrano PB(away) | 5-0 | Serie D |
| May 25, 2019 | America-RN(home) | 1-2 | Serie D |
| May 18, 2019 | America-RN(away) | 0-0 | Serie D |
How many goals should we expect?
Jacuipense score 1.4 and concede 0.7 goals per match over their last 15; Bahia de Feira score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jacuipense | 1.4 | 0.7 | 7 | 5/15 | 4/15 |
| Bahia de Feira | 2.3 | 0.9 | 2 | 4/7 | 5/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Jacuipense sit 3rd in Baiano - 1 (13 points from 9 matches) and Bahia de Feira sit 9th (9 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Jacuipense | 9 | 3 | 4 | 2 | 11 | 10 | 13 |
| 9 | Bahia de Feira | 9 | 2 | 3 | 4 | 11 | 12 | 9 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy