Match

Khenchela vs El Bayadh: result 1-0 and analysis

Ligue 1Regular Season - 30Kick-off on June 21, 2025 at 04:00 PM (UTC)Stade Hamam Ammar, Khenchela

Khenchela
1-0
El Bayadh

Full time

What was the result of Khenchela vs El Bayadh?

Khenchela won 1-0 on June 21, 2025.

Goalscorers

  • 78′?Khenchela

What is the recent form of both teams?

Over their last 15 matches in all competitions, Khenchela have 5 wins, 2 draws and 8 defeats; El Bayadh have 4, 7 and 4.

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

Khenchela
DateOpponentScoreCompetition
Jun 16, 2025US Biskra(away)2-1Ligue 1
Jun 11, 2025USM Alger(home)1-0Ligue 1
Jun 3, 2025CS Constantine(away)1-2Ligue 1
May 25, 2025ES Setif(away)1-0Ligue 1
May 16, 2025Olympique Akbou(away)1-2Ligue 1
El Bayadh
DateOpponentScoreCompetition
Jun 17, 2025Olympique Akbou(home)0-1Ligue 1
Jun 11, 2025MC Oran(away)2-3Ligue 1
May 27, 2025CS Constantine(home)1-1Ligue 1
May 18, 2025Mostaganem(away)0-0Ligue 1
May 12, 2025JS Kabylie(home)1-2Ligue 1

What does the head-to-head say?

Across the last 5 meetings: 2 Khenchela wins, 0 draws, 3 El Bayadh wins.

DateScoreCompetition
Dec 28, 2024El Bayadh 1-2 KhenchelaLigue 1
Apr 26, 2024El Bayadh 1-0 KhenchelaLigue 1
Dec 8, 2023Khenchela 2-0 El BayadhLigue 1
Feb 25, 2023Khenchela 0-1 El BayadhLigue 1
Sep 9, 2022El Bayadh 2-0 KhenchelaLigue 1

Last archived meeting: El Bayadh vs Khenchela on Dec 28, 2024

How many goals should we expect?

Khenchela score 1.1 and concede 1.7 goals per match over their last 15; El Bayadh score 0.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Khenchela1.11.728/1510/15
El Bayadh0.70.785/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
10Khenchela4121325

A question about Khenchela vs El Bayadh?

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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