Biesme vs ES de la Molignée: result 2-1 and analysis
Provincial - NamurNamur - 10Kick-off on October 19, 2019 at 05:30 PM (UTC)Terrain Biesme St De La Tourette, Biesme
Full time
What was the result of Biesme vs ES de la Molignée?
Biesme won 2-1 on October 19, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Biesme have 7 wins, 1 draw and 3 defeats; ES de la Molignée have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Pesche(away) | 3-3 | Provincial - Namur |
| Oct 4, 2019 | Wépion(home) | 3-0 | Provincial - Namur |
| Sep 29, 2019 | Rhisnes(away) | 2-1 | Provincial - Namur |
| Sep 21, 2019 | Profondeville(home) | 3-0 | Provincial - Namur |
| Sep 15, 2019 | Grand-Leez(away) | 3-0 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Nismes(home) | 1-2 | Provincial - Namur |
| 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 |
How many goals should we expect?
Biesme score 2.6 and concede 1.5 goals per match over their last 11; ES de la Molignée score 2.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biesme | 2.6 | 1.5 | 5 | 6/11 | 10/11 |
| ES de la Molignée | 2.0 | 2.1 | 0 | 10/10 | 8/10 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Biesme | 30 | 18 | 7 | 5 | 77 | 41 | 61 |
A question about Biesme vs ES de la Molignée?
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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