Racing d'Abidjan vs Moossou: result 4-1 and analysis
Ligue 1Regular Season - 16Kick-off on February 9, 2019 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Racing d'Abidjan vs Moossou?
Racing d'Abidjan won 4-1 on February 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Racing d'Abidjan have 7 wins, 4 draws and 4 defeats; Moossou have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2019 | Tanda(home) | 3-1 | Ligue 1 |
| Jan 26, 2019 | San-Pédro(away) | 0-1 | Ligue 1 |
| Dec 8, 2018 | SOA(home) | 1-3 | Ligue 1 |
| Dec 2, 2018 | Africa Sports(away) | 0-0 | Ligue 1 |
| Nov 24, 2018 | Abengourou(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2019 | Bouaké(home) | 1-3 | Ligue 1 |
| Jan 26, 2019 | WAC(away) | 0-0 | Ligue 1 |
| Dec 8, 2018 | Lys Sassandra(away) | 0-1 | Ligue 1 |
| Dec 1, 2018 | Abengourou(home) | 3-4 | Ligue 1 |
| Nov 24, 2018 | ASEC Mimosas(away) | 0-6 | Ligue 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 Racing d'Abidjan win(s), 0 draw(s), 0 Moossou win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2018 | Moossou 1-3 Racing d'Abidjan | Ligue 1 |
Last archived meeting: Moossou vs Racing d'Abidjan on Sep 22, 2018
How many goals should we expect?
Racing d'Abidjan score 1.4 and concede 1.0 goals per match over their last 15; Moossou score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Racing d'Abidjan | 1.4 | 1.0 | 4 | 8/15 | 7/15 |
| Moossou | 0.9 | 1.9 | 3 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Racing d'Abidjan | 30 | 6 | 9 | 15 | 24 | 33 | 27 |
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