Denguélé vs SOA: result 0-1 and analysis
Ligue 1Regular Season - 18Kick-off on April 15, 2017 at 04:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Denguélé vs SOA?
SOA won 0-1 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Denguélé have 4 wins, 9 draws and 2 defeats; SOA 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 |
|---|---|---|---|
| Apr 3, 2017 | San-Pédro(home) | 0-1 | Ligue 1 |
| Mar 29, 2017 | Abengourou(away) | 3-1 | Ligue 1 |
| Mar 26, 2017 | Africa Sports(home) | 0-0 | Ligue 1 |
| Mar 23, 2017 | ASEC Mimosas(home) | 0-0 | Ligue 1 |
| Mar 6, 2017 | AFAD(home) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 4, 2017 | Africa Sports(home) | 0-2 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 Denguélé wins, 0 draws, 1 SOA win.
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2016 | SOA 3-0 Denguélé | Ligue 1 |
How many goals should we expect?
Denguélé score 1.0 and concede 0.9 goals per match over their last 15; SOA score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Denguélé | 1.0 | 0.9 | 4 | 9/15 | 5/15 |
| SOA | 0.9 | 0.8 | 8 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SOA | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
A question about Denguélé vs SOA?
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