SOA vs ASEC Mimosas: result 0-0 and analysis
Ligue 1Regular Season - 23Kick-off on May 28, 2017 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of SOA vs ASEC Mimosas?
SOA and ASEC Mimosas drew 0-0 on May 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SOA have 6 wins, 4 draws and 5 defeats; ASEC Mimosas have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | WAC(home) | 0-2 | Ligue 1 |
| May 13, 2017 | Stade d'Abidjan(home) | 1-0 | Ligue 1 |
| May 6, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
| May 1, 2017 | AFAD(away) | 0-2 | Ligue 1 |
| Apr 15, 2017 | Denguélé(away) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Africa Sports(home) | 2-1 | Ligue 1 |
| May 14, 2017 | AFAD(home) | 3-3 | Ligue 1 |
| May 6, 2017 | San-Pédro(home) | 0-1 | Ligue 1 |
| Apr 30, 2017 | Tanda(home) | 1-1 | Ligue 1 |
| Apr 27, 2017 | Sporting Gagnoa(away) | 2-0 | Ligue 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 SOA win(s), 0 draw(s), 0 ASEC Mimosas win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 20, 2017 | ASEC Mimosas 0-1 SOA | Ligue 1 |
How many goals should we expect?
SOA score 0.9 and concede 0.9 goals per match over their last 15; ASEC Mimosas score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SOA | 0.9 | 0.9 | 7 | 4/15 | 3/15 |
| ASEC Mimosas | 1.1 | 0.7 | 8 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
SOA sit 11th in Ligue 1 (37 points from 30 matches) and ASEC Mimosas sit 1st (62 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | ASEC Mimosas | 30 | 19 | 5 | 6 | 50 | 21 | 62 |
| 11 | SOA | 30 | 9 | 10 | 11 | 23 | 23 | 37 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy