Bouaké vs AFAD: result 1-0 and analysis
Ligue 1Regular Season - 7Kick-off on October 21, 2018 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Bouaké vs AFAD?
Bouaké won 1-0 on October 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bouaké have 4 wins, 5 draws and 6 defeats; AFAD have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2018 | SOA(home) | 1-2 | Ligue 1 |
| Oct 6, 2018 | WAC(away) | 2-1 | Ligue 1 |
| Sep 30, 2018 | Racing d'Abidjan(away) | 2-3 | Ligue 1 |
| Sep 22, 2018 | Lys Sassandra(home) | 2-1 | Ligue 1 |
| Sep 16, 2018 | Moossou(home) | 2-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2018 | Bassam(home) | 0-2 | Ligue 1 |
| Oct 7, 2018 | ASEC Mimosas(away) | 2-1 | Ligue 1 |
| Sep 29, 2018 | Moossou(home) | 3-0 | Ligue 1 |
| Sep 22, 2018 | Sporting Gagnoa(home) | 0-0 | Ligue 1 |
| Sep 15, 2018 | San-Pédro(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Bouaké win(s), 0 draw(s), 1 AFAD win(s).
| Date | Score | Competition |
|---|---|---|
| May 26, 2018 | Bouaké 1-2 AFAD | Ligue 1 |
| Dec 21, 2017 | AFAD 0-2 Bouaké | Ligue 1 |
How many goals should we expect?
Bouaké score 1.1 and concede 1.4 goals per match over their last 15; AFAD score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bouaké | 1.1 | 1.4 | 2 | 11/15 | 8/15 |
| AFAD | 0.8 | 0.9 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bouaké sit 10th in Ligue 1 (38 points from 30 matches) and AFAD sit 3rd (50 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | AFAD | 30 | 14 | 8 | 8 | 40 | 24 | 50 |
| 10 | Bouaké | 30 | 9 | 11 | 10 | 24 | 25 | 38 |
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