ES Bafing vs Stade d'Abidjan: result 3-2 and analysis
Ligue 1Regular Season - 6Kick-off on October 22, 2022 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of ES Bafing vs Stade d'Abidjan?
ES Bafing won 3-2 on October 22, 2022.
Goalscorers
- 5′?ES Bafing
- 43′?ES Bafing
- 65′?ES Bafing
- 74′?Stade d'Abidjan
- 90′?Stade d'Abidjan
What is the recent form of both teams?
Over their last 15 matches in all competitions, ES Bafing have 4 wins, 4 draws and 7 defeats; Stade d'Abidjan have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Stella(away) | 1-0 | Ligue 1 |
| Oct 3, 2022 | Racing d'Abidjan(away) | 1-0 | Ligue 1 |
| Sep 25, 2022 | ASEC Mimosas(home) | 1-3 | Ligue 1 |
| Sep 10, 2022 | Lys Sassandra(away) | 0-1 | Ligue 1 |
| Jun 29, 2022 | Lys Sassandra(home) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | San-Pédro(home) | 1-2 | Ligue 1 |
| Oct 10, 2022 | Korhogo(away) | 4-1 | Ligue 1 |
| Sep 30, 2022 | Denguélé(home) | 1-0 | Ligue 1 |
| Sep 17, 2022 | Abengourou(away) | 1-0 | Ligue 1 |
| Sep 10, 2022 | Bouaké(home) | 0-0 | Ligue 1 |
How many goals should we expect?
ES Bafing score 1.0 and concede 1.2 goals per match over their last 15; Stade d'Abidjan score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ES Bafing | 1.0 | 1.2 | 5 | 7/15 | 6/15 |
| Stade d'Abidjan | 0.8 | 1.1 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Stade d'Abidjan | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
A question about ES Bafing vs Stade d'Abidjan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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