ASEC Ndiambour vs Diambars: result 1-1 and analysis
Ligue 1Regular Season - 28Kick-off on May 27, 2018 at 05:00 PM (UTC)Stade Alboury Ndiaye, Louga
Full time
What was the result of ASEC Ndiambour vs Diambars?
ASEC Ndiambour and Diambars drew 1-1 on May 27, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASEC Ndiambour have 7 wins, 3 draws and 5 defeats; Diambars have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | La Linguère(away) | 0-0 | Ligue 1 |
| May 14, 2018 | Niarry Tally(home) | 2-0 | Ligue 1 |
| May 6, 2018 | Stade de Mbour(away) | 1-2 | Ligue 1 |
| May 3, 2018 | Jaraaf(home) | 0-2 | Ligue 1 |
| Apr 28, 2018 | Guédiawaye(away) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2018 | Génération Foot(home) | 2-1 | Ligue 1 |
| May 19, 2018 | Casa Sport(home) | 0-0 | Ligue 1 |
| May 13, 2018 | Ouakam(away) | 4-1 | Ligue 1 |
| May 10, 2018 | Ouakam(home) | 5-0 | Ligue 1 |
| May 3, 2018 | Douanes(away) | 1-3 | Ligue 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 ASEC Ndiambour win, 1 draw, 1 Diambars win.
| Date | Score | Competition |
|---|---|---|
| Feb 18, 2018 | Diambars 3-0 ASEC Ndiambour | Ligue 1 |
| May 6, 2017 | Diambars 2-3 ASEC Ndiambour | Ligue 1 |
| Dec 18, 2016 | ASEC Ndiambour 1-1 Diambars | Ligue 1 |
Last archived meeting: Diambars vs ASEC Ndiambour on Feb 18, 2018
How many goals should we expect?
ASEC Ndiambour score 1.1 and concede 0.9 goals per match over their last 15; Diambars score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASEC Ndiambour | 1.1 | 0.9 | 7 | 4/15 | 5/15 |
| Diambars | 1.4 | 0.7 | 8 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about ASEC Ndiambour vs Diambars?
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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