N'Zidane vs Ksar: result 1-0 and analysis
Premier LeagueRegular Season - 12Kick-off on January 3, 2026 at 04:00 PM (UTC)
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What was the result of N'Zidane vs Ksar?
N'Zidane won 1-0 on January 3, 2026.
Goalscorers
- 52′608334N'Zidane
What is the recent form of both teams?
Over their last 15 matches in all competitions, N'Zidane have 7 wins, 5 draws and 3 defeats; Ksar have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 26, 2025 | Tevragh-Zeïne(away) | 2-2 | Premier League |
| Dec 19, 2025 | Gendrim(away) | 2-1 | Premier League |
| Dec 13, 2025 | Kaédi(home) | 4-3 | Premier League |
| Dec 7, 2025 | Nouadhibou(away) | 1-2 | Premier League |
| Nov 29, 2025 | Chemal(home) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 30, 2025 | Gendrim(home) | 0-1 | Premier League |
| Dec 20, 2025 | Kaédi(away) | 1-1 | Premier League |
| Dec 16, 2025 | Nouadhibou(home) | 0-2 | Premier League |
| Dec 6, 2025 | Chemal(away) | 0-1 | Premier League |
| Nov 29, 2025 | Nouakchott Academie(home) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 N'Zidane win, 1 draw, 0 Ksar wins.
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2025 | Ksar 1-2 N'Zidane | Premier League |
| Nov 23, 2024 | N'Zidane 1-1 Ksar | Premier League |
How many goals should we expect?
N'Zidane score 1.6 and concede 1.3 goals per match over their last 15; Ksar score 0.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| N'Zidane | 1.6 | 1.3 | 3 | 11/15 | 9/15 |
| Ksar | 0.3 | 1.7 | 1 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | N'Zidane | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about N'Zidane vs Ksar?
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