Azazga vs MO Bejaia: result 2-1 and analysis
Ligue 2Regular Season - 4Kick-off on October 10, 2026 at 02:00 PM (UTC)
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What was the result of Azazga vs MO Bejaia?
Azazga won 2-1 on October 10, 2026.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Azazga have 3 wins, 4 draws and 3 defeats; MO Bejaia have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2026 | JS Jijel(away) | 0-0 | Ligue 2 |
| Sep 27, 2026 | JSM Skikda(home) | 1-0 | Ligue 2 |
| Sep 18, 2026 | CA Batna(away) | 2-2 | Ligue 2 |
| Jan 3, 2025 | USM Bel Abbes(away) | 0-2 | Coupe Nationale |
| Mar 30, 2024 | WA Tlemcen(home) | 2-2 | Coupe Nationale |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2026 | CR Béni Thour(away) | 3-1 | Ligue 2 |
| Sep 18, 2026 | MO Constantine(home) | 0-0 | Ligue 2 |
| May 9, 2026 | Nrb Beni Oulbene(home) | 0-0 | Ligue 2 |
| May 2, 2026 | USM Annaba(away) | 1-0 | Ligue 2 |
| Apr 21, 2026 | Khroub(home) | 1-0 | Ligue 2 |
How many goals should we expect?
Azazga score 1.3 and concede 1.2 goals per match over their last 10; MO Bejaia score 1.3 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azazga | 1.3 | 1.2 | 4 | 4/10 | 5/10 |
| MO Bejaia | 1.3 | 0.3 | 11 | 4/15 | 4/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Azazga sit 2nd in Ligue 2 (8 points from 4 matches) and MO Bejaia sit 9th (4 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Azazga | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
| 9 | MO Bejaia | 3 | 1 | 1 | 1 | 4 | 3 | 4 |
A question about Azazga vs MO Bejaia?
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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