ASEC Mimosas vs Mounana: result 0-0 and analysis
CAF Confederation CupPlay-offsKick-off on April 16, 2017 at 04:00 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of ASEC Mimosas vs Mounana?
ASEC Mimosas and Mounana drew 0-0 on April 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASEC Mimosas have 7 wins, 4 draws and 4 defeats; Mounana have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Mounana(away) | 1-2 | CAF Confederation Cup |
| Apr 2, 2017 | Séwé Sport(home) | 1-0 | Ligue 1 |
| Mar 30, 2017 | JCAT(away) | 2-0 | Ligue 1 |
| Mar 27, 2017 | Moossou(away) | 1-0 | Ligue 1 |
| Mar 23, 2017 | Denguélé(away) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | ASEC Mimosas(home) | 2-1 | CAF Confederation Cup |
What does the head-to-head say?
In the last meeting: 0 ASEC Mimosas wins, 0 draws, 1 Mounana win.
| Date | Score | Competition |
|---|---|---|
| Apr 8, 2017 | Mounana 2-1 ASEC Mimosas | CAF Confederation Cup |
Last archived meeting: Mounana vs ASEC Mimosas on Apr 8, 2017
How many goals should we expect?
ASEC Mimosas score 0.9 and concede 0.5 goals per match over their last 15; Mounana score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASEC Mimosas | 0.9 | 0.5 | 9 | 4/15 | 3/15 |
| Mounana | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | ASEC Mimosas | 6 | 2 | 2 | 2 | 7 | 5 | 8 |
A question about ASEC Mimosas vs Mounana?
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