Bassam vs Racing d'Abidjan: result 0-1 and analysis
Ligue 1Regular Season - 18Kick-off on February 23, 2019 at 03:30 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of Bassam vs Racing d'Abidjan?
Racing d'Abidjan won 0-1 on February 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bassam have 3 wins, 6 draws and 6 defeats; Racing d'Abidjan have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2019 | WAC(away) | 0-0 | Ligue 1 |
| Feb 9, 2019 | San-Pédro(home) | 1-0 | Ligue 1 |
| Feb 2, 2019 | SOA(away) | 0-1 | Ligue 1 |
| Jan 27, 2019 | Africa Sports(away) | 1-2 | Ligue 1 |
| Dec 28, 2018 | ASEC Mimosas(home) | 0-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2019 | Bouaké(away) | 1-1 | Ligue 1 |
| Feb 9, 2019 | Moossou(home) | 4-1 | Ligue 1 |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Bassam win(s), 0 draw(s), 1 Racing d'Abidjan win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Racing d'Abidjan 3-0 Bassam | Ligue 1 |
Last archived meeting: Racing d'Abidjan vs Bassam on Oct 6, 2018
How many goals should we expect?
Bassam score 0.7 and concede 1.1 goals per match over their last 15; Racing d'Abidjan score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bassam | 0.7 | 1.1 | 4 | 7/15 | 4/15 |
| Racing d'Abidjan | 1.6 | 0.9 | 4 | 9/15 | 7/15 |
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