Beauraing vs Fernelmont-Hemptinne: result 1-2 and analysis
Provincial - NamurNamur - 8Kick-off on October 6, 2019 at 01:00 PM (UTC)Terrain Rue de Houyet, Beauraing
Full time
What was the result of Beauraing vs Fernelmont-Hemptinne?
Fernelmont-Hemptinne won 1-2 on October 6, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Beauraing have 1 wins, 2 draws and 3 defeats; Fernelmont-Hemptinne have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Andennais(away) | 2-0 | Provincial - Namur |
| Sep 22, 2019 | ES de la Molignée(home) | 1-5 | Provincial - Namur |
| Sep 15, 2019 | Pesche(away) | 1-2 | Provincial - Namur |
| Sep 1, 2019 | Rhisnes(away) | 3-3 | Provincial - Namur |
| Aug 24, 2019 | Profondeville(home) | 1-1 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | De Neffe(home) | 4-2 | Provincial - Namur |
| Sep 22, 2019 | Loyers(home) | 1-2 | Provincial - Namur |
| Sep 15, 2019 | Andennais(away) | 1-1 | Provincial - Namur |
| Sep 8, 2019 | ES de la Molignée(home) | 3-2 | Provincial - Namur |
| Sep 1, 2019 | Pesche(away) | 3-2 | Provincial - Namur |
How many goals should we expect?
Beauraing score 1.3 and concede 2.2 goals per match over their last 6; Fernelmont-Hemptinne score 2.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beauraing | 1.3 | 2.2 | 1 | 4/6 | 3/6 |
| Fernelmont-Hemptinne | 2.7 | 1.9 | 0 | 7/7 | 6/7 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Beauraing sit 15th in Provincial - Namur (24 points from 30 matches) and Fernelmont-Hemptinne sit 13th (32 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Fernelmont-Hemptinne | 30 | 9 | 5 | 16 | 48 | 58 | 32 |
| 15 | Beauraing | 30 | 6 | 6 | 18 | 46 | 68 | 24 |
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