Mouna vs Racing d'Abidjan: result 0-1 and analysis
Ligue 1Regular Season - 15Kick-off on December 10, 2023 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of Mouna vs Racing d'Abidjan?
Racing d'Abidjan won 0-1 on December 10, 2023.
Goalscorers
- 64′?Racing d'Abidjan
What is the recent form of both teams?
Over their last 14 matches in all competitions, Mouna have 3 wins, 5 draws and 6 defeats; Racing d'Abidjan have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2023 | Lys Sassandra(away) | 1-2 | Ligue 1 |
| Nov 27, 2023 | SOA(home) | 1-3 | Ligue 1 |
| Nov 23, 2023 | Sporting Gagnoa(away) | 1-0 | Ligue 1 |
| Nov 20, 2023 | Stade d'Abidjan(home) | 1-1 | Ligue 1 |
| Nov 16, 2023 | SOL(away) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2023 | San-Pédro(home) | 4-0 | Ligue 1 |
| Nov 29, 2023 | Abengourou(home) | 2-1 | Ligue 1 |
| Nov 26, 2023 | Bouaké(away) | 0-1 | Ligue 1 |
| Nov 23, 2023 | Korhogo(home) | 1-1 | Ligue 1 |
| Nov 18, 2023 | ASEC Mimosas(away) | 1-0 | Ligue 1 |
How many goals should we expect?
Mouna score 0.8 and concede 1.4 goals per match over their last 14; Racing d'Abidjan score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mouna | 0.8 | 1.4 | 5 | 7/14 | 4/14 |
| Racing d'Abidjan | 1.1 | 0.6 | 9 | 5/15 | 4/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Mouna | 3 | 0 | 1 | 2 | 0 | 3 | 1 |
A question about Mouna vs Racing d'Abidjan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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