SOA vs AFAD: result 1-2 and analysis
Ligue 1Regular Season - 10Kick-off on December 10, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of SOA vs AFAD?
AFAD won 1-2 on December 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SOA have 2 wins, 6 draws and 7 defeats; AFAD have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2017 | WAC(away) | 1-1 | Ligue 1 |
| Dec 2, 2017 | Stade d'Abidjan(away) | 0-2 | Ligue 1 |
| Nov 25, 2017 | Moossou(home) | 1-1 | Ligue 1 |
| Nov 18, 2017 | Bassam(away) | 0-1 | Ligue 1 |
| Nov 15, 2017 | Bouaké(away) | 1-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2017 | Moossou(away) | 1-1 | Ligue 1 |
| Dec 3, 2017 | San-Pédro(home) | 1-0 | Ligue 1 |
| Nov 25, 2017 | Sporting Gagnoa(home) | 0-1 | Ligue 1 |
| Nov 19, 2017 | WAC(away) | 3-3 | Ligue 1 |
| Nov 16, 2017 | Africa Sports(away) | 1-0 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 SOA win(s), 1 draw(s), 1 AFAD win(s).
| Date | Score | Competition |
|---|---|---|
| May 1, 2017 | AFAD 2-0 SOA | Ligue 1 |
| Dec 21, 2016 | SOA 0-0 AFAD | Ligue 1 |
How many goals should we expect?
SOA score 0.6 and concede 1.1 goals per match over their last 15; AFAD score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SOA | 0.6 | 1.1 | 4 | 5/15 | 2/15 |
| AFAD | 1.5 | 0.8 | 8 | 6/15 | 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 AFAD sit 3rd (50 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | AFAD | 30 | 14 | 8 | 8 | 40 | 24 | 50 |
| 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