AFAD vs Bouaké: result 0-2 and analysis
Ligue 1Regular Season - 12Kick-off on December 21, 2017 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of AFAD vs Bouaké?
Bouaké won 0-2 on December 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFAD have 10 wins, 4 draws and 1 defeat; Bouaké have 5, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2017 | Tanda(home) | 0-0 | Ligue 1 |
| Dec 10, 2017 | SOA(away) | 2-1 | Ligue 1 |
| Dec 6, 2017 | Moossou(away) | 1-1 | Ligue 1 |
| Dec 3, 2017 | San-Pédro(home) | 1-0 | Ligue 1 |
| Nov 25, 2017 | Sporting Gagnoa(home) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2017 | ASEC Mimosas(home) | 1-2 | Ligue 1 |
| Dec 10, 2017 | WAC(home) | 0-0 | Ligue 1 |
| Dec 6, 2017 | Séwé Sport(home) | 1-1 | Ligue 1 |
| Dec 2, 2017 | Moossou(home) | 1-0 | Ligue 1 |
| Nov 25, 2017 | Tanda(away) | 0-0 | Ligue 1 |
How many goals should we expect?
AFAD score 1.4 and concede 0.7 goals per match over their last 15; Bouaké score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFAD | 1.4 | 0.7 | 8 | 6/15 | 4/15 |
| Bouaké | 0.9 | 0.7 | 5 | 4/11 | 3/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
AFAD sit 11th in Ligue 1 (2 points from 3 matches) and Bouaké sit 8th (3 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Bouaké | 3 | 1 | 0 | 2 | 2 | 5 | 3 |
| 11 | AFAD | 3 | 0 | 2 | 1 | 3 | 4 | 2 |
A question about AFAD vs Bouaké?
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