Flavion-Morialmé vs Biesme: result 1-4 and analysis
Provincial - NamurNamur - 11Kick-off on November 7, 2021 at 01:30 PM (UTC)Terrain du Flavion Sport, Flavion
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What was the result of Flavion-Morialmé vs Biesme?
Biesme won 1-4 on November 7, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flavion-Morialmé have 2 wins, 8 draws and 5 defeats; Biesme have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Condruzien(away) | 1-1 | Provincial - Namur |
| Oct 21, 2021 | US Dinantaise(away) | 1-3 | Provincial - Namur |
| Oct 17, 2021 | Grand-Leez(home) | 0-5 | Provincial - Namur |
| Oct 3, 2021 | Spy(home) | 2-2 | Provincial - Namur |
| Sep 26, 2021 | Nismes(away) | 2-2 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2021 | Loyers(away) | 0-4 | Provincial - Namur |
| Oct 23, 2021 | ES de la Molignée(home) | 3-1 | Provincial - Namur |
| Oct 10, 2021 | Fernelmont-Hemptinne(home) | 5-4 | Provincial - Namur |
| Oct 2, 2021 | Wallonne Ciney(away) | 3-1 | Provincial - Namur |
| Sep 25, 2021 | Malonne(home) | 4-0 | Provincial - Namur |
How many goals should we expect?
Flavion-Morialmé score 1.5 and concede 2.1 goals per match over their last 15; Biesme score 2.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flavion-Morialmé | 1.5 | 2.1 | 1 | 11/15 | 9/15 |
| Biesme | 2.3 | 1.2 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Flavion-Morialmé sit 16th in Provincial - Namur (13 points from 30 matches) and Biesme sit 1st (61 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Biesme | 30 | 18 | 7 | 5 | 77 | 41 | 61 |
| 16 | Flavion-Morialmé | 30 | 3 | 4 | 23 | 32 | 86 | 13 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy