Grapiuna Itabuna vs Jacobina: result 0-7 and analysis
Baiano - 2Regular Season - 11Kick-off on July 10, 2022 at 05:45 PM (UTC)Estádio Lomanto Júnior, Vitória da Conquista, Bahia
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What was the result of Grapiuna Itabuna vs Jacobina?
Jacobina won 0-7 on July 10, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grapiuna Itabuna have 3 wins, 5 draws and 7 defeats; Jacobina have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2022 | Juazeiro BA(away) | 0-5 | Baiano - 2 |
| Jun 30, 2022 | Feirense(home) | 0-2 | Baiano - 2 |
| Jun 19, 2022 | Jequié(home) | 1-2 | Baiano - 2 |
| Jun 15, 2022 | Botafogo BA(home) | 1-2 | Baiano - 2 |
| Jun 12, 2022 | Jacobinense(away) | 1-2 | Baiano - 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2022 | Botafogo BA(home) | 1-0 | Baiano - 2 |
| Jun 29, 2022 | Jacobinense(away) | 2-0 | Baiano - 2 |
| Jun 26, 2022 | Fluminense De Feira(home) | 0-2 | Baiano - 2 |
| Jun 19, 2022 | ABPN Canaã(away) | 1-1 | Baiano - 2 |
| Jun 16, 2022 | Itabuna(home) | 2-1 | Baiano - 2 |
How many goals should we expect?
Grapiuna Itabuna score 0.9 and concede 1.3 goals per match over their last 15; Jacobina score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grapiuna Itabuna | 0.9 | 1.3 | 4 | 7/15 | 6/15 |
| Jacobina | 0.7 | 1.5 | 4 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Grapiuna Itabuna sit 8th in Baiano - 2 (4 points from 7 matches) and Jacobina sit 6th (7 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Jacobina | 7 | 2 | 1 | 4 | 7 | 13 | 7 |
| 8 | Grapiuna Itabuna | 7 | 1 | 1 | 5 | 5 | 19 | 4 |
A question about Grapiuna Itabuna vs Jacobina?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy