SOL vs Racing d'Abidjan: result 0-1 and analysis
Ligue 1Regular Season - 14Kick-off on May 24, 2021 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of SOL vs Racing d'Abidjan?
Racing d'Abidjan won 0-1 on May 24, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SOL have 5 wins, 5 draws and 5 defeats; Racing d'Abidjan have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2021 | Stella(home) | 2-0 | Ligue 1 |
| May 16, 2021 | SOA(away) | 0-0 | Ligue 1 |
| May 13, 2021 | Tanda(away) | 0-1 | Ligue 1 |
| May 9, 2021 | Bouaké(home) | 1-1 | Ligue 1 |
| May 3, 2021 | ASEC Mimosas(away) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2021 | Bouaké(away) | 1-2 | Ligue 1 |
| May 16, 2021 | ASEC Mimosas(home) | 2-2 | Ligue 1 |
| May 13, 2021 | SOA(home) | 0-3 | Ligue 1 |
| May 9, 2021 | Stella(away) | 0-0 | Ligue 1 |
| Apr 29, 2021 | Tanda(away) | 1-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 SOL wins, 0 draws, 1 Racing d'Abidjan win.
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2019 | Racing d'Abidjan 1-0 SOL | Ligue 1 |
Last archived meeting: Racing d'Abidjan vs SOL on Dec 2, 2019
How many goals should we expect?
SOL score 0.9 and concede 0.9 goals per match over their last 15; Racing d'Abidjan score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SOL | 0.9 | 0.9 | 6 | 6/15 | 3/15 |
| Racing d'Abidjan | 0.9 | 1.3 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | SOL | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
A question about SOL vs Racing 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