JS Jijel vs CA Batna: result 1-1 and analysis
Ligue 2East - 13Kick-off on December 14, 2024 at 01:00 PM (UTC)
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What was the result of JS Jijel vs CA Batna?
JS Jijel and CA Batna drew 1-1 on December 14, 2024.
Goalscorers
- 64′?JS Jijel
- 90′?CA Batna
What is the recent form of both teams?
Over their last 15 matches in all competitions, JS Jijel have 5 wins, 4 draws and 6 defeats; CA Batna have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2024 | MB Rouisset(away) | 1-2 | Ligue 2 |
| Nov 23, 2024 | MO Constantine(home) | 4-1 | Ligue 2 |
| Nov 15, 2024 | USM Annaba(away) | 0-1 | Ligue 2 |
| Nov 9, 2024 | RB Ouargla(home) | 2-0 | Ligue 2 |
| Nov 1, 2024 | US Souf(away) | 0-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2024 | Teleghma(home) | 1-0 | Ligue 2 |
| Nov 23, 2024 | MB Rouisset(home) | 0-0 | Ligue 2 |
| Nov 15, 2024 | JS Bordj Ménaïel(away) | 1-1 | Ligue 2 |
| Nov 9, 2024 | USM Annaba(home) | 1-0 | Ligue 2 |
| Nov 1, 2024 | MO Constantine(away) | 2-2 | Ligue 2 |
How many goals should we expect?
JS Jijel score 1.1 and concede 0.9 goals per match over their last 15; CA Batna score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Jijel | 1.1 | 0.9 | 3 | 7/15 | 4/15 |
| CA Batna | 0.7 | 1.0 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
JS Jijel sit 16th in Ligue 2 (1 point from 4 matches) and CA Batna sit 10th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | CA Batna | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
| 16 | JS Jijel | 4 | 0 | 1 | 3 | 1 | 5 | 1 |
A question about JS Jijel vs CA Batna?
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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