Match

US Biskra vs El Bayadh: result 1-0 and analysis

Ligue 1Regular Season - 4Kick-off on September 16, 2022 at 07:00 PM (UTC)Stade 18 Février, Biskra

US Biskra
1-0
El Bayadh

Full time

What was the result of US Biskra vs El Bayadh?

US Biskra won 1-0 on September 16, 2022.

Goalscorers

  • 78′L. AbidUS Biskra

Official lineup for US Biskra vs El Bayadh

The starting elevens fielded at kick-off.

US Biskra

  1. MM. Zeghnoun
  2. MM. Khoualed
  3. MM. Baâli
  1. HH. Ounnas
  2. AA. Gagaâ
  1. AA. Lakhdari
  2. MM. Boufleligha
  3. TT. Adouane
  4. AA. Belkacemi
  5. MM. Boussalem
  1. WW. Ouabdi

El Bayadh

  1. AA. Ghorab
  2. NN. Benkheira
  3. AA. Ghenam
  1. DD. Belalem
  2. NN. Kerioui
  3. OO. Embarek
  1. MM. Barka
  2. AA. Allaoui
  3. YY. Ouassa
  4. AA. Berriah
  1. ZZ. Bouziani
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What is the recent form of both teams?

Over their last 15 matches in all competitions, US Biskra have 4 wins, 8 draws and 3 defeats; El Bayadh have 12, 1 and 2.

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

US Biskra
DateOpponentScoreCompetition
Sep 10, 2022JS Saoura(home)0-0Ligue 1
Sep 3, 2022MC Alger(away)0-0Ligue 1
Aug 27, 2022ES Setif(home)2-2Ligue 1
Jun 10, 2022Hussein Dey(away)2-1Ligue 1
Jun 5, 2022ES Setif(home)1-1Ligue 1
El Bayadh
DateOpponentScoreCompetition
Sep 9, 2022Khenchela(home)2-0Ligue 1
Sep 3, 2022JS Saoura(home)2-0Ligue 1
Aug 27, 2022USM Alger(away)0-1Ligue 1
May 21, 2022MC Saida(home)3-0Ligue 2
May 14, 2022Ben Aknoun(away)1-0Ligue 2

How many goals should we expect?

US Biskra score 0.9 and concede 0.8 goals per match over their last 15; El Bayadh score 1.9 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
US Biskra0.90.875/154/15
El Bayadh1.90.4103/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
16US Biskra5023282

A question about US Biskra vs El Bayadh?

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

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