Armée vs Sahel: result 0-1 and analysis
Premier LeagueRegular Season - 13Kick-off on April 18, 2021 at 09:15 PM (UTC)Stade Cheikha Ould Boïdiya, Nouakchott
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What was the result of Armée vs Sahel?
Sahel won 0-1 on April 18, 2021.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Armée have 2 wins, 4 draws and 6 defeats; Sahel have 4, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2021 | SNIM(home) | 0-1 | Premier League |
| Mar 19, 2021 | Police(away) | 2-0 | Premier League |
| Mar 12, 2021 | Tevragh-Zeïne(away) | 2-2 | Premier League |
| Feb 3, 2021 | Kaédi(home) | 0-1 | Premier League |
| Jan 29, 2021 | Kédia(home) | 0-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2021 | Tevragh-Zeïne(home) | 2-1 | Premier League |
| Mar 20, 2021 | Kaédi(away) | 0-0 | Premier League |
| Mar 13, 2021 | SNIM(away) | 1-0 | Premier League |
| Feb 3, 2021 | Police(home) | 0-2 | Premier League |
| Jan 30, 2021 | Ksar(home) | 0-2 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Armée wins, 0 draws, 1 Sahel win.
| Date | Score | Competition |
|---|---|---|
| Jan 13, 2021 | Sahel 1-0 Armée | Premier League |
How many goals should we expect?
Armée score 0.9 and concede 1.3 goals per match over their last 12; Sahel score 0.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Armée | 0.9 | 1.3 | 2 | 5/12 | 4/12 |
| Sahel | 0.5 | 1.1 | 4 | 3/14 | 3/14 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Armée | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Armée vs Sahel?
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