MSP Batna vs AS AIN Mlila: result 1-0 and analysis
Ligue 2East - 3Kick-off on October 13, 2023 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
Full time
What was the result of MSP Batna vs AS AIN Mlila?
MSP Batna won 1-0 on October 13, 2023.
Goalscorers
- 31′?MSP Batna
What is the recent form of both teams?
Over their last 15 matches in all competitions, MSP Batna have 4 wins, 1 draw and 10 defeats; AS AIN Mlila have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Usm El Harrach(away) | 2-1 | Ligue 2 |
| Sep 29, 2023 | RB Ouargla(away) | 0-0 | Ligue 2 |
| Nov 25, 2022 | El Bayadh(home) | 1-2 | Coupe Nationale |
| Jun 26, 2021 | Khroub(away) | 4-1 | Ligue 2 |
| Jun 19, 2021 | CA Batna(home) | 1-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2023 | El Eulma(away) | 0-0 | Ligue 2 |
| Jun 3, 2023 | IB Khémis El Khechna(away) | 1-2 | Ligue 2 |
| May 27, 2023 | JSM Skikda(home) | 1-0 | Ligue 2 |
| May 16, 2023 | RB Ouargla(away) | 0-4 | Ligue 2 |
| May 12, 2023 | El Eulma(home) | 4-2 | Ligue 2 |
How many goals should we expect?
MSP Batna score 0.9 and concede 1.7 goals per match over their last 15; AS AIN Mlila score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSP Batna | 0.9 | 1.7 | 3 | 7/15 | 8/15 |
| AS AIN Mlila | 1.4 | 1.3 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP Batna | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
A question about MSP Batna vs AS AIN Mlila?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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