Douannes de Sikasso vs CAS de Sévaré: result 1-1 and analysis
Première DivisionRegular Season - 16Kick-off on May 22, 2021 at 04:30 PM (UTC)
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What was the result of Douannes de Sikasso vs CAS de Sévaré?
Douannes de Sikasso and CAS de Sévaré drew 1-1 on May 22, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Douannes de Sikasso have 4 wins, 5 draws and 6 defeats; CAS de Sévaré have 0, 5 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | USC Kita(away) | 0-1 | Première Division |
| May 5, 2021 | Réal Bamako(home) | 1-0 | Première Division |
| Apr 22, 2021 | Bougouni(away) | 0-3 | Première Division |
| Apr 18, 2021 | LC Ba(home) | 2-0 | Première Division |
| Apr 15, 2021 | ASOM(home) | 2-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Réal Bamako(home) | 0-5 | Première Division |
| May 5, 2021 | LC Ba(away) | 1-2 | Première Division |
| Apr 22, 2021 | Stade Malien Bamako(home) | 1-1 | Première Division |
| Apr 19, 2021 | Police(away) | 1-1 | Première Division |
| Apr 15, 2021 | USC Kita(home) | 1-1 | Première Division |
What does the head-to-head say?
In the last meeting: 1 Douannes de Sikasso win, 0 draws, 0 CAS de Sévaré wins.
| Date | Score | Competition |
|---|---|---|
| Mar 21, 2021 | CAS de Sévaré 1-3 Douannes de Sikasso | Première Division |
Last archived meeting: CAS de Sévaré vs Douannes de Sikasso on Mar 21, 2021
How many goals should we expect?
Douannes de Sikasso score 0.7 and concede 1.1 goals per match over their last 15; CAS de Sévaré score 0.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Douannes de Sikasso | 0.7 | 1.1 | 5 | 5/15 | 5/15 |
| CAS de Sévaré | 0.7 | 2.0 | 1 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
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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