AJEB vs USFA: result 1-2 and analysis
Ligue 1Regular Season - 21Kick-off on April 12, 2026 at 04:00 PM (UTC)Stade Wobi, Bobo-Dioulasso
Full time
What was the result of AJEB vs USFA?
USFA won 1-2 on April 12, 2026.
Goalscorers
- 58′660266AJEB
- 77′Arsene ZidnabaUSFA
- 90′Frank TologoUSFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, AJEB have 3 wins, 4 draws and 8 defeats; USFA have 6, 8 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2026 | Vitesse(away) | 1-3 | Ligue 1 |
| Mar 21, 2026 | RC Bobo-Dioulasso(away) | 1-1 | Ligue 1 |
| Mar 14, 2026 | ASFB(home) | 1-2 | Ligue 1 |
| Mar 9, 2026 | Majestic(away) | 0-1 | Ligue 1 |
| Feb 28, 2026 | RCK(home) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2026 | CFFEB(away) | 1-1 | Ligue 1 |
| Mar 21, 2026 | Salitas(home) | 0-0 | Ligue 1 |
| Mar 13, 2026 | Sporting Cascades(home) | 0-0 | Ligue 1 |
| Mar 9, 2026 | Réal du Faso(away) | 0-0 | Ligue 1 |
| Mar 1, 2026 | SONABEL(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 AJEB wins, 1 draw, 0 USFA wins.
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2025 | USFA 1-1 AJEB | Ligue 1 |
How many goals should we expect?
AJEB score 0.7 and concede 1.0 goals per match over their last 15; USFA score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AJEB | 0.7 | 1.0 | 5 | 5/15 | 4/15 |
| USFA | 1.1 | 0.5 | 10 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | USFA | 6 | 5 | 0 | 1 | 9 | 2 | 15 |
A question about AJEB vs USFA?
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