IRB Nezla vs Azazga: result 0-1 and analysis
Ligue 2Regular Season - 7Kick-off on October 24, 2026 at 02:00 PM (UTC)
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What was the result of IRB Nezla vs Azazga?
Azazga won 0-1 on October 24, 2026.
What is the recent form of both teams?
Over their last 7 matches in all competitions, IRB Nezla have 1 win, 1 draw and 5 defeats; Azazga have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2026 | NC Magra(away) | 0-1 | Ligue 2 |
| Oct 13, 2026 | CR Béni Thour(away) | 1-2 | Ligue 2 |
| Oct 9, 2026 | MO Constantine(home) | 2-2 | Ligue 2 |
| Sep 26, 2026 | JS Jijel(home) | 1-0 | Ligue 2 |
| Sep 18, 2026 | JSM Skikda(away) | 0-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2026 | CR Béni Thour(home) | 3-0 | Ligue 2 |
| Oct 14, 2026 | MO Constantine(away) | 0-1 | Ligue 2 |
| Oct 10, 2026 | MO Bejaia(home) | 2-1 | Ligue 2 |
| Oct 3, 2026 | JS Jijel(away) | 0-0 | Ligue 2 |
| Sep 27, 2026 | JSM Skikda(home) | 1-0 | Ligue 2 |
How many goals should we expect?
IRB Nezla score 0.7 and concede 1.7 goals per match over their last 7; Azazga score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IRB Nezla | 0.7 | 1.7 | 1 | 3/7 | 3/7 |
| Azazga | 1.4 | 1.1 | 5 | 5/13 | 7/13 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
IRB Nezla sit 14th in Ligue 2 (4 points from 6 matches) and Azazga sit 1st (14 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Azazga | 7 | 4 | 2 | 1 | 9 | 4 | 14 |
| 14 | IRB Nezla | 6 | 1 | 1 | 4 | 4 | 8 | 4 |
A question about IRB Nezla vs Azazga?
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