Denguélé vs Moossou: result 0-1 and analysis
Ligue 1Regular Season - 24Kick-off on June 3, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Denguélé vs Moossou?
Moossou won 0-1 on June 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Denguélé have 3 wins, 7 draws and 5 defeats; Moossou have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2017 | Tanda(away) | 0-1 | Ligue 1 |
| May 20, 2017 | Sporting Gagnoa(away) | 1-2 | Ligue 1 |
| May 14, 2017 | WAC(away) | 0-2 | Ligue 1 |
| May 6, 2017 | Stade d'Abidjan(away) | 1-0 | Ligue 1 |
| Apr 29, 2017 | JCAT(home) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2017 | JCAT(home) | 2-0 | Ligue 1 |
| May 27, 2017 | Africa Sports(home) | 0-0 | Ligue 1 |
| May 21, 2017 | Stade d'Abidjan(home) | 1-2 | Ligue 1 |
| May 6, 2017 | Séwé Sport(away) | 1-2 | Ligue 1 |
| Apr 29, 2017 | San-Pédro(home) | 1-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 1 Denguélé win, 0 draws, 0 Moossou wins.
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2017 | Moossou 1-2 Denguélé | Ligue 1 |
How many goals should we expect?
Denguélé score 0.8 and concede 0.9 goals per match over their last 15; Moossou score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Denguélé | 0.8 | 0.9 | 3 | 8/15 | 3/15 |
| Moossou | 1.1 | 1.4 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Denguélé vs Moossou?
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