ES de la Molignée vs Nismes: result 1-2 and analysis
Provincial - NamurNamur - 9Kick-off on October 13, 2019 at 01:00 PM (UTC)Terrain Biesmerée, Biesmerée
Full time
What was the result of ES de la Molignée vs Nismes?
Nismes won 1-2 on October 13, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, ES de la Molignée have 2 wins, 4 draws and 3 defeats; Nismes have 7, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Chevetogne(away) | 3-1 | Provincial - Namur |
| Sep 29, 2019 | Jeunesse Tamines(home) | 1-4 | Provincial - Namur |
| Sep 22, 2019 | Beauraing(away) | 5-1 | Provincial - Namur |
| Sep 15, 2019 | De Neffe(home) | 2-2 | Provincial - Namur |
| Sep 8, 2019 | Fernelmont-Hemptinne(away) | 2-3 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Pesche(home) | 5-0 | Provincial - Namur |
| Sep 29, 2019 | Wépion(away) | 2-0 | Provincial - Namur |
| Sep 22, 2019 | Rhisnes(home) | 3-2 | Provincial - Namur |
| Sep 15, 2019 | Profondeville(away) | 3-1 | Provincial - Namur |
| Sep 8, 2019 | Grand-Leez(home) | 2-1 | Provincial - Namur |
How many goals should we expect?
ES de la Molignée score 2.1 and concede 2.1 goals per match over their last 9; Nismes score 2.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ES de la Molignée | 2.1 | 2.1 | 0 | 9/9 | 7/9 |
| Nismes | 2.9 | 1.9 | 2 | 7/9 | 8/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nismes | 30 | 12 | 7 | 11 | 57 | 44 | 43 |
A question about ES de la Molignée vs Nismes?
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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