CA Batna vs Khenchela: result 1-2 and analysis
Ligue 2East - 28Kick-off on May 7, 2022 at 01:30 PM (UTC)Stade Seffouhi, Batna
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What was the result of CA Batna vs Khenchela?
Khenchela won 1-2 on May 7, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 5 wins, 7 draws and 3 defeats; Khenchela have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | AS AIN Mlila(away) | 1-2 | Ligue 2 |
| Apr 16, 2022 | Bordj BOU Arreridj(home) | 4-1 | Ligue 2 |
| Apr 9, 2022 | Hamra Annaba(away) | 0-2 | Ligue 2 |
| Mar 31, 2022 | MO Bejaia(home) | 1-1 | Ligue 2 |
| Mar 26, 2022 | El Eulma(away) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Teleghma(home) | 2-0 | Ligue 2 |
| Apr 16, 2022 | USM Annaba(away) | 3-1 | Ligue 2 |
| Apr 9, 2022 | JS Bordj Ménaïel(home) | 3-2 | Ligue 2 |
| Mar 31, 2022 | MO Constantine(away) | 1-1 | Ligue 2 |
| Mar 26, 2022 | JSM Skikda(home) | 4-0 | Ligue 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 CA Batna win(s), 3 draw(s), 0 Khenchela win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 8, 2022 | Khenchela 1-1 CA Batna | Ligue 2 |
| Apr 17, 2021 | Khenchela 0-0 CA Batna | Ligue 2 |
| Feb 12, 2021 | CA Batna 1-1 Khenchela | Ligue 2 |
How many goals should we expect?
CA Batna score 1.1 and concede 0.7 goals per match over their last 15; Khenchela score 2.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 1.1 | 0.7 | 6 | 7/15 | 2/15 |
| Khenchela | 2.4 | 0.8 | 6 | 9/15 | 10/15 |
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 | CA Batna | 30 | 18 | 6 | 6 | 40 | 18 | 60 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy