Salitas vs ASFB: result 2-0 and analysis
Ligue 1Regular Season - 22Kick-off on February 23, 2020 at 03:30 PM (UTC)Stade du 4 Août, Ouagadougou
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What was the result of Salitas vs ASFB?
Salitas won 2-0 on February 23, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salitas have 10 wins, 2 draws and 3 defeats; ASFB have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2020 | Ouagadougou(away) | 2-0 | Ligue 1 |
| Feb 13, 2020 | Police(away) | 1-0 | Ligue 1 |
| Feb 9, 2020 | ASFA-Yennenga(home) | 0-0 | Ligue 1 |
| Feb 1, 2020 | Rahimo(away) | 4-0 | Ligue 1 |
| Jan 26, 2020 | SONABEL(home) | 2-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2020 | USFA(home) | 0-3 | Ligue 1 |
| Feb 13, 2020 | ASFA-Yennenga(away) | 1-1 | Ligue 1 |
| Feb 8, 2020 | KOZAF(away) | 1-0 | Ligue 1 |
| Feb 1, 2020 | Majestic(away) | 0-0 | Ligue 1 |
| Jan 26, 2020 | Ouagadougou(home) | 0-2 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 Salitas wins, 1 draw, 0 ASFB wins.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2019 | ASFB 1-1 Salitas | Ligue 1 |
How many goals should we expect?
Salitas score 1.7 and concede 0.6 goals per match over their last 15; ASFB score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salitas | 1.7 | 0.6 | 9 | 4/15 | 6/15 |
| ASFB | 1.4 | 0.8 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Salitas sit 16th in Ligue 1 (1 point from 4 matches) and ASFB sit 10th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | ASFB | 4 | 1 | 1 | 2 | 3 | 5 | 4 |
| 16 | Salitas | 4 | 0 | 1 | 3 | 3 | 9 | 1 |
A question about Salitas vs ASFB?
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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