AFAD vs SOA: result 2-0 and analysis
Ligue 1Regular Season - 19Kick-off on May 1, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of AFAD vs SOA?
AFAD won 2-0 on May 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFAD have 2 wins, 8 draws and 5 defeats; SOA have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 26, 2017 | WAC(home) | 0-2 | Ligue 1 |
| Mar 13, 2017 | JCAT(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Denguélé(away) | 1-0 | Ligue 1 |
| Apr 2, 2017 | Sporting Gagnoa(home) | 1-0 | Ligue 1 |
| Mar 30, 2017 | Moossou(away) | 1-0 | Ligue 1 |
| Mar 26, 2017 | Tanda(home) | 1-1 | Ligue 1 |
| Mar 11, 2017 | Séwé Sport(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 AFAD wins, 1 draw, 0 SOA wins.
| Date | Score | Competition |
|---|---|---|
| Dec 21, 2016 | SOA 0-0 AFAD | Ligue 1 |
How many goals should we expect?
AFAD score 0.8 and concede 1.1 goals per match over their last 15; SOA score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFAD | 0.8 | 1.1 | 4 | 7/15 | 5/15 |
| SOA | 1.0 | 0.7 | 9 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
AFAD sit 10th in Ligue 1 (2 points from 3 matches) and SOA sit 3rd (4 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SOA | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
| 10 | AFAD | 3 | 0 | 2 | 1 | 3 | 4 | 2 |
A question about AFAD vs SOA?
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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