Biesme vs Loyers: result 0-1 and analysis
Provincial - NamurNamur - 4Kick-off on October 3, 2020 at 06:15 PM (UTC)Terrain Biesme St De La Tourette, Biesme
Full time
What was the result of Biesme vs Loyers?
Loyers won 0-1 on October 3, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biesme have 5 wins, 5 draws and 5 defeats; Loyers have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2020 | Beauraing(away) | 1-0 | Provincial - Namur |
| Sep 19, 2020 | ES de la Molignée(home) | 4-1 | Provincial - Namur |
| Sep 12, 2020 | Meux II(away) | 1-1 | Provincial - Namur |
| Feb 21, 2020 | Pesche(home) | 6-0 | Provincial - Namur |
| Feb 16, 2020 | Wépion(away) | 3-0 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Fernelmont-Hemptinne(home) | 2-1 | Provincial - Namur |
| Sep 20, 2020 | Wallonne Ciney(away) | 1-3 | Provincial - Namur |
| Sep 13, 2020 | Andennais(home) | 1-2 | Provincial - Namur |
| Feb 22, 2020 | Profondeville(away) | 3-2 | Provincial - Namur |
| Jan 26, 2020 | Condruzien(away) | 0-0 | Provincial - Namur |
What does the head-to-head say?
Across the last 2 meetings: 0 Biesme win(s), 1 draw(s), 1 Loyers win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 8, 2019 | Biesme 2-2 Loyers | Provincial - Namur |
| Sep 1, 2019 | Loyers 4-2 Biesme | Provincial - Namur |
How many goals should we expect?
Biesme score 1.8 and concede 1.3 goals per match over their last 15; Loyers score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biesme | 1.8 | 1.3 | 5 | 9/15 | 10/15 |
| Loyers | 1.7 | 1.9 | 2 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Biesme sit 1st in Provincial - Namur (61 points from 30 matches) and Loyers sit 3rd (56 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Biesme | 30 | 18 | 7 | 5 | 77 | 41 | 61 |
| 3 | Loyers | 30 | 15 | 11 | 4 | 59 | 36 | 56 |
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