ASEC Mimosas vs AFAD: result 3-3 and analysis
Ligue 1Regular Season - 21Kick-off on May 14, 2017 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of ASEC Mimosas vs AFAD?
ASEC Mimosas and AFAD drew 3-3 on May 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASEC Mimosas have 6 wins, 5 draws and 4 defeats; AFAD have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 16, 2017 | Mounana(home) | 0-0 | CAF Confederation Cup |
| Apr 8, 2017 | Mounana(away) | 1-2 | CAF Confederation Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Tanda(home) | 0-0 | Ligue 1 |
| May 1, 2017 | SOA(home) | 2-0 | Ligue 1 |
| Apr 15, 2017 | San-Pédro(away) | 1-1 | Ligue 1 |
| Apr 3, 2017 | Africa Sports(away) | 0-1 | Ligue 1 |
| Mar 31, 2017 | Stade d'Abidjan(away) | 0-1 | Ligue 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 ASEC Mimosas win(s), 0 draw(s), 1 AFAD win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 4, 2017 | AFAD 2-1 ASEC Mimosas | Ligue 1 |
How many goals should we expect?
ASEC Mimosas score 0.8 and concede 0.5 goals per match over their last 15; AFAD score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASEC Mimosas | 0.8 | 0.5 | 9 | 3/15 | 2/15 |
| AFAD | 0.7 | 0.8 | 6 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
ASEC Mimosas sit 1st in Ligue 1 (62 points from 30 matches) and AFAD sit 3rd (50 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | ASEC Mimosas | 30 | 19 | 5 | 6 | 50 | 21 | 62 |
| 3 | AFAD | 30 | 14 | 8 | 8 | 40 | 24 | 50 |
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