Moossou vs Stade d'Abidjan: result 1-2 and analysis
Ligue 1Regular Season - 22Kick-off on May 21, 2017 at 06:00 PM (UTC)
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What was the result of Moossou vs Stade d'Abidjan?
Stade d'Abidjan won 1-2 on May 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moossou have 4 wins, 2 draws and 9 defeats; Stade d'Abidjan have 5, 6 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 | Séwé Sport(away) | 1-2 | Ligue 1 |
| Apr 29, 2017 | San-Pédro(home) | 1-0 | Ligue 1 |
| Apr 17, 2017 | Abengourou(away) | 1-1 | Ligue 1 |
| Apr 3, 2017 | WAC(away) | 1-2 | Ligue 1 |
| Mar 30, 2017 | SOA(home) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | SOA(away) | 0-1 | Ligue 1 |
| May 6, 2017 | Denguélé(home) | 0-1 | Ligue 1 |
| Apr 30, 2017 | Séwé Sport(away) | 1-1 | Ligue 1 |
| Apr 21, 2017 | Tanda(home) | 1-0 | Ligue 1 |
| Apr 17, 2017 | Africa Sports(away) | 0-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 1 Moossou win, 0 draws, 0 Stade d'Abidjan wins.
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2017 | Stade d'Abidjan 3-4 Moossou | Ligue 1 |
Last archived meeting: Stade d'Abidjan vs Moossou on Jan 11, 2017
How many goals should we expect?
Moossou score 1.0 and concede 1.5 goals per match over their last 15; Stade d'Abidjan score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moossou | 1.0 | 1.5 | 3 | 7/15 | 7/15 |
| Stade d'Abidjan | 1.2 | 0.9 | 5 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Stade d'Abidjan | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
A question about Moossou vs Stade d'Abidjan?
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