CS Constantine vs El Bayadh: result 3-1 and analysis
Ligue 1Regular Season - 14Kick-off on December 11, 2022 at 02:00 PM (UTC)Stade Ben-Abdelmalek-Ramdhan, Constantine
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What was the result of CS Constantine vs El Bayadh?
CS Constantine won 3-1 on December 11, 2022.
Goalscorers
- 8′R. HitalaEl Bayadh
- 45′B. DibCS Constantine
- 66′S. AiboudCS Constantine
- 75′S. AiboudCS Constantine
What is the recent form of both teams?
Over their last 15 matches in all competitions, CS Constantine have 10 wins, 2 draws and 3 defeats; El Bayadh have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2022 | ASO Chlef(home) | 3-0 | Ligue 1 |
| Dec 3, 2022 | JS Saoura(away) | 1-3 | Ligue 1 |
| Nov 29, 2022 | CR Belouizdad(away) | 1-2 | Ligue 1 |
| Nov 9, 2022 | NC Magra(home) | 1-0 | Ligue 1 |
| Nov 5, 2022 | RC Arba(away) | 2-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2022 | ES Setif(home) | 2-0 | Ligue 1 |
| Nov 29, 2022 | ASO Chlef(away) | 0-0 | Ligue 1 |
| Nov 25, 2022 | MSP Batna(away) | 2-1 | Coupe Nationale |
| Nov 12, 2022 | MC Oran(home) | 1-1 | Ligue 1 |
| Nov 5, 2022 | CR Belouizdad(away) | 0-1 | Ligue 1 |
How many goals should we expect?
CS Constantine score 1.5 and concede 0.7 goals per match over their last 15; El Bayadh score 0.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CS Constantine | 1.5 | 0.7 | 8 | 6/15 | 7/15 |
| El Bayadh | 0.9 | 0.6 | 8 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
CS Constantine sit 9th in Ligue 1 (43 points from 30 matches) and El Bayadh sit 16th (17 points from 30 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | CS Constantine | 30 | 11 | 10 | 9 | 35 | 30 | 43 |
| 16 | El Bayadh | 30 | 2 | 11 | 17 | 17 | 40 | 17 |
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