Kaédi vs SNIM: result 2-1 and analysis
Premier LeagueRegular Season - 13Kick-off on April 18, 2021 at 04:00 PM (UTC)Stade de Kaédi, Kaédi
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What was the result of Kaédi vs SNIM?
Kaédi won 2-1 on April 18, 2021.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Kaédi have 4 wins, 6 draws and 2 defeats; SNIM have 3, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2021 | Ksar(home) | 4-1 | Premier League |
| Mar 20, 2021 | Sahel(home) | 0-0 | Premier League |
| Mar 13, 2021 | Kédia(away) | 0-0 | Premier League |
| Feb 3, 2021 | Armée(away) | 1-0 | Premier League |
| Jan 29, 2021 | Tevragh-Zeïne(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2021 | Armée(away) | 1-0 | Premier League |
| Mar 19, 2021 | Kédia(home) | 0-0 | Premier League |
| Mar 13, 2021 | Sahel(home) | 0-1 | Premier League |
| Feb 3, 2021 | Ksar(away) | 2-0 | Premier League |
| Jan 30, 2021 | Police(away) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Kaédi wins, 1 draw, 0 SNIM wins.
| Date | Score | Competition |
|---|---|---|
| Jan 13, 2021 | SNIM 0-0 Kaédi | Premier League |
How many goals should we expect?
Kaédi score 1.0 and concede 0.7 goals per match over their last 12; SNIM score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaédi | 1.0 | 0.7 | 5 | 5/12 | 2/12 |
| SNIM | 0.6 | 1.1 | 6 | 3/14 | 2/14 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Kaédi sit 6th in Premier League (1 point from 1 match) and SNIM sit 4th (1 point from 1 match).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | SNIM | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
| 6 | Kaédi | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Kaédi vs SNIM?
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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