SNIM vs Sahel: result 0-1 and analysis
Premier LeagueRegular Season - 10Kick-off on March 13, 2021 at 07:40 PM (UTC)Stade Cheikha Ould Boïdiya, Nouakchott
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What was the result of SNIM vs Sahel?
Sahel won 0-1 on March 13, 2021.
What is the recent form of both teams?
Over their last 11 matches in all competitions, SNIM have 2 wins, 5 draws and 4 defeats; Sahel have 2, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2021 | Ksar(away) | 2-0 | Premier League |
| Jan 30, 2021 | Police(away) | 1-1 | Premier League |
| Jan 23, 2021 | Tevragh-Zeïne(away) | 0-3 | Premier League |
| Jan 13, 2021 | Kaédi(home) | 0-0 | Premier League |
| Jan 1, 2021 | Armée(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2021 | Police(home) | 0-2 | Premier League |
| Jan 30, 2021 | Ksar(home) | 0-2 | Premier League |
| Jan 23, 2021 | Kédia(away) | 0-2 | Premier League |
| Jan 13, 2021 | Armée(home) | 1-0 | Premier League |
| Jan 1, 2021 | Tevragh-Zeïne(away) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 SNIM wins, 1 draw, 0 Sahel wins.
| Date | Score | Competition |
|---|---|---|
| Dec 12, 2020 | Sahel 0-0 SNIM | Premier League |
How many goals should we expect?
SNIM score 0.6 and concede 1.3 goals per match over their last 11; Sahel score 0.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SNIM | 0.6 | 1.3 | 4 | 3/11 | 2/11 |
| Sahel | 0.4 | 1.4 | 2 | 2/11 | 2/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | SNIM | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
A question about SNIM 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