Match

JS Bordj Ménaïel vs CA Batna: result 1-1 and analysis

Ligue 2Regular Season - 13Kick-off on December 20, 2025 at 01:00 PM (UTC)

JS Bordj Ménaïel
1-1
CA Batna

Full time

What was the result of JS Bordj Ménaïel vs CA Batna?

JS Bordj Ménaïel and CA Batna drew 1-1 on December 20, 2025.

What is the recent form of both teams?

Over their last 15 matches in all competitions, JS Bordj Ménaïel have 2 wins, 7 draws and 6 defeats; CA Batna have 9, 4 and 2.

The competition is shown for every match: in pre-season, several of these games are friendlies.

JS Bordj Ménaïel
DateOpponentScoreCompetition
Dec 5, 2025Koléa(away)0-1Coupe Nationale
Nov 28, 2025MO Bejaia(away)0-1Ligue 2
Nov 22, 2025JS Jijel(home)1-1Ligue 2
Nov 18, 2025MO Constantine(away)1-1Ligue 2
Nov 8, 2025CR Béni Thour(home)3-1Ligue 2
CA Batna
DateOpponentScoreCompetition
Dec 11, 2025Koléa(home)5-1Coupe Nationale
Dec 6, 2025USM Annaba(home)1-1Coupe Nationale
Nov 29, 2025Nrb Beni Oulbene(home)2-1Ligue 2
Nov 22, 2025Teleghma(away)0-0Ligue 2
Nov 18, 2025NC Magra(home)1-1Ligue 2

What does the head-to-head say?

Across the last 6 meetings: 2 JS Bordj Ménaïel wins, 2 draws, 2 CA Batna wins.

DateScoreCompetition
Apr 5, 2025CA Batna 0-3 JS Bordj MénaïelLigue 2
Nov 15, 2024JS Bordj Ménaïel 1-1 CA BatnaLigue 2
Mar 23, 2024CA Batna 3-2 JS Bordj MénaïelLigue 2
Nov 18, 2023JS Bordj Ménaïel 0-0 CA BatnaLigue 2
Apr 1, 2023CA Batna 2-0 JS Bordj MénaïelLigue 2
Nov 21, 2022JS Bordj Ménaïel 3-1 CA BatnaLigue 2

Last archived meeting: CA Batna vs JS Bordj Ménaïel on Apr 5, 2025

How many goals should we expect?

JS Bordj Ménaïel score 0.8 and concede 1.1 goals per match over their last 15; CA Batna score 1.9 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JS Bordj Ménaïel0.81.128/152/15
CA Batna1.90.868/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
8CA Batna7232549

A question about JS Bordj Ménaïel vs CA Batna?

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

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