ES de la Molignée vs US Dinantaise: result 0-2 and analysis
Provincial - NamurNamur - 7Kick-off on October 13, 2021 at 06:00 PM (UTC)Terrain Biesmerée, Biesmerée
Full time
What was the result of ES de la Molignée vs US Dinantaise?
US Dinantaise won 0-2 on October 13, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ES de la Molignée have 6 wins, 3 draws and 6 defeats; US Dinantaise have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Grand-Leez(away) | 2-2 | Provincial - Namur |
| Sep 26, 2021 | Spy(away) | 1-6 | Provincial - Namur |
| Sep 19, 2021 | Nismes(home) | 2-3 | Provincial - Namur |
| Sep 12, 2021 | Chevetogne(away) | 0-6 | Provincial - Namur |
| Sep 5, 2021 | Flavion-Morialmé(home) | 1-1 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2021 | Fernelmont-Hemptinne(away) | 3-3 | Provincial - Namur |
| Sep 26, 2021 | Loyers(home) | 0-2 | Provincial - Namur |
| Sep 11, 2021 | Wallonne Ciney(home) | 3-4 | Provincial - Namur |
| Sep 4, 2021 | Malonne(away) | 2-2 | Provincial - Namur |
| Aug 29, 2021 | Meux II(home) | 2-0 | Provincial - Namur |
How many goals should we expect?
ES de la Molignée score 2.5 and concede 2.8 goals per match over their last 15; US Dinantaise score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ES de la Molignée | 2.5 | 2.8 | 0 | 14/15 | 14/15 |
| US Dinantaise | 1.8 | 1.7 | 3 | 4/9 | 6/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | US Dinantaise | 30 | 7 | 8 | 15 | 45 | 72 | 29 |
A question about ES de la Molignée vs US Dinantaise?
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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