Moossou vs ASEC Mimosas: result 0-1 and analysis
Ligue 1Regular Season - 15Kick-off on March 27, 2017 at 05:30 PM (UTC)
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What was the result of Moossou vs ASEC Mimosas?
ASEC Mimosas won 0-1 on March 27, 2017.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Moossou have 5 wins, 3 draws and 6 defeats; ASEC Mimosas have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 22, 2017 | Sporting Gagnoa(away) | 0-1 | Ligue 1 |
| Mar 6, 2017 | Tanda(away) | 3-3 | Ligue 1 |
| Mar 3, 2017 | AFAD(home) | 0-3 | Ligue 1 |
| Feb 26, 2017 | Denguélé(home) | 1-2 | Ligue 1 |
| Feb 20, 2017 | Africa Sports(away) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2017 | Denguélé(away) | 0-0 | Ligue 1 |
| Mar 19, 2017 | APEJES Academy(away) | 0-1 | CAF Confederation Cup |
| Mar 12, 2017 | APEJES Academy(home) | 2-0 | CAF Confederation Cup |
| Mar 5, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
| Mar 2, 2017 | WAC(away) | 2-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 Moossou wins, 1 draw, 0 ASEC Mimosas wins.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2016 | ASEC Mimosas 0-0 Moossou | Ligue 1 |
Last archived meeting: ASEC Mimosas vs Moossou on Nov 25, 2016
How many goals should we expect?
Moossou score 1.0 and concede 1.2 goals per match over their last 14; ASEC Mimosas score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moossou | 1.0 | 1.2 | 6 | 4/14 | 5/14 |
| ASEC Mimosas | 0.9 | 0.5 | 9 | 3/15 | 3/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | ASEC Mimosas | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
A question about Moossou vs ASEC Mimosas?
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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