Moossou vs AFAD: result 0-1 and analysis
Ligue 1Regular Season - 17Kick-off on February 16, 2019 at 03:30 PM (UTC)
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What was the result of Moossou vs AFAD?
AFAD won 0-1 on February 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moossou have 1 win, 2 draws and 12 defeats; AFAD have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2019 | Racing d'Abidjan(away) | 1-4 | Ligue 1 |
| Feb 4, 2019 | Bouaké(home) | 1-3 | Ligue 1 |
| Jan 26, 2019 | WAC(away) | 0-0 | Ligue 1 |
| Dec 8, 2018 | Lys Sassandra(away) | 0-1 | Ligue 1 |
| Dec 1, 2018 | Abengourou(home) | 3-4 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2019 | Sporting Gagnoa(away) | 0-3 | Ligue 1 |
| Feb 2, 2019 | San-Pédro(home) | 1-0 | Ligue 1 |
| Jan 26, 2019 | Lys Sassandra(home) | 1-1 | Ligue 1 |
| Dec 8, 2018 | Tanda(home) | 2-1 | Ligue 1 |
| Dec 1, 2018 | WAC(home) | 0-0 | Ligue 1 |
What does the head-to-head say?
Across the last 5 meetings: 1 Moossou win, 1 draw, 3 AFAD wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2018 | AFAD 3-0 Moossou | Ligue 1 |
| Apr 21, 2018 | AFAD 1-2 Moossou | Ligue 1 |
| Dec 6, 2017 | Moossou 1-1 AFAD | Ligue 1 |
| Jun 17, 2017 | AFAD 2-0 Moossou | Ligue 1 |
| Mar 3, 2017 | Moossou 0-3 AFAD | Ligue 1 |
How many goals should we expect?
Moossou score 0.7 and concede 2.1 goals per match over their last 15; AFAD score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moossou | 0.7 | 2.1 | 3 | 6/15 | 9/15 |
| AFAD | 0.8 | 0.8 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | AFAD | 3 | 0 | 2 | 1 | 3 | 4 | 2 |
A question about Moossou vs AFAD?
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