Moossou vs ASEC Mimosas: result 1-2 and analysis
Ligue 1Regular Season - 5Kick-off on November 16, 2017 at 03:30 PM (UTC)
Full time
What was the result of Moossou vs ASEC Mimosas?
ASEC Mimosas won 1-2 on November 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moossou have 6 wins, 3 draws and 6 defeats; ASEC Mimosas have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Sporting Gagnoa(home) | 0-3 | Ligue 1 |
| Oct 29, 2017 | Séwé Sport(home) | 1-0 | Ligue 1 |
| Oct 21, 2017 | Tanda(away) | 1-0 | Ligue 1 |
| Oct 15, 2017 | WAC(away) | 0-0 | Ligue 1 |
| Jul 1, 2017 | Tanda(home) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | SOA(away) | 1-0 | Ligue 1 |
| Oct 29, 2017 | Bassam(home) | 3-0 | Ligue 1 |
| Oct 22, 2017 | WAC(home) | 0-0 | Ligue 1 |
| Oct 14, 2017 | AFAD(away) | 0-1 | Ligue 1 |
| Jul 2, 2017 | Abengourou(home) | 1-2 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Moossou wins, 1 draw, 1 ASEC Mimosas win.
| Date | Score | Competition |
|---|---|---|
| Mar 27, 2017 | Moossou 0-1 ASEC Mimosas | Ligue 1 |
| Nov 25, 2016 | ASEC Mimosas 0-0 Moossou | Ligue 1 |
Last archived meeting: Moossou vs ASEC Mimosas on Mar 27, 2017
How many goals should we expect?
Moossou score 0.7 and concede 0.9 goals per match over their last 15; ASEC Mimosas score 1.0 and concede 0.8.
| 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 |
| ASEC Mimosas | 1.0 | 0.8 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | ASEC Mimosas | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
A question about Moossou vs ASEC Mimosas?
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