Stella vs Bouaké: result 1-0 and analysis
Ligue 1Regular Season - 14Kick-off on May 24, 2021 at 03:30 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of Stella vs Bouaké?
Stella won 1-0 on May 24, 2021.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Stella have 3 wins, 1 draw and 7 defeats; Bouaké have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2021 | SOL(away) | 0-2 | Ligue 1 |
| May 13, 2021 | ASEC Mimosas(away) | 2-5 | Ligue 1 |
| May 9, 2021 | Racing d'Abidjan(home) | 0-0 | Ligue 1 |
| May 3, 2021 | Tanda(away) | 2-1 | Ligue 1 |
| Apr 29, 2021 | SOA(away) | 1-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2021 | Racing d'Abidjan(home) | 2-1 | Ligue 1 |
| May 16, 2021 | Tanda(away) | 1-0 | Ligue 1 |
| May 9, 2021 | SOL(away) | 1-1 | Ligue 1 |
| May 3, 2021 | SOA(home) | 1-2 | Ligue 1 |
| Apr 29, 2021 | ASEC Mimosas(home) | 0-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 1 Stella win, 0 draws, 0 Bouaké wins.
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2021 | Bouaké 0-1 Stella | Ligue 1 |
How many goals should we expect?
Stella score 0.9 and concede 1.8 goals per match over their last 11; Bouaké score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stella | 0.9 | 1.8 | 3 | 6/11 | 6/11 |
| Bouaké | 0.7 | 0.7 | 5 | 6/15 | 2/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Stella sit 12th in Ligue 1 (1 point from 2 matches) and Bouaké sit 8th (3 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Bouaké | 3 | 1 | 0 | 2 | 2 | 5 | 3 |
| 12 | Stella | 2 | 0 | 1 | 1 | 1 | 2 | 1 |
A question about Stella vs Bouaké?
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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