Moossou vs AFAD: result 1-1 and analysis
Ligue 1Regular Season - 9Kick-off on December 6, 2017 at 03:30 PM (UTC)
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What was the result of Moossou vs AFAD?
Moossou and AFAD drew 1-1 on December 6, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moossou have 5 wins, 4 draws and 6 defeats; AFAD have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2017 | Bouaké(away) | 0-1 | Ligue 1 |
| Nov 30, 2017 | Abengourou(home) | 0-0 | Ligue 1 |
| Nov 25, 2017 | SOA(away) | 1-1 | Ligue 1 |
| Nov 16, 2017 | ASEC Mimosas(home) | 1-2 | Ligue 1 |
| Nov 4, 2017 | Sporting Gagnoa(home) | 0-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2017 | San-Pédro(home) | 1-0 | Ligue 1 |
| Nov 25, 2017 | Sporting Gagnoa(home) | 0-1 | Ligue 1 |
| Nov 19, 2017 | WAC(away) | 3-3 | Ligue 1 |
| Nov 16, 2017 | Africa Sports(away) | 1-0 | Ligue 1 |
| Nov 4, 2017 | Abengourou(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Moossou wins, 0 draws, 2 AFAD wins.
| Date | Score | Competition |
|---|---|---|
| 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 0.9 goals per match over their last 15; AFAD score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moossou | 0.7 | 0.9 | 8 | 4/15 | 4/15 |
| AFAD | 1.4 | 0.7 | 9 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | 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