Fernelmont-Hemptinne vs Profondeville: result 0-3 and analysis
Provincial - NamurNamur - 15Kick-off on January 12, 2020 at 01:30 PM (UTC)Terrain Fernelmont, Forville
Full time
What was the result of Fernelmont-Hemptinne vs Profondeville?
Profondeville won 0-3 on January 12, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fernelmont-Hemptinne have 7 wins, 2 draws and 6 defeats; Profondeville have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Grand-Leez(away) | 2-3 | Provincial - Namur |
| Dec 8, 2019 | Pesche(home) | 4-1 | Provincial - Namur |
| Dec 1, 2019 | Wépion(away) | 2-1 | Provincial - Namur |
| Nov 24, 2019 | Rhisnes(home) | 3-0 | Provincial - Namur |
| Nov 17, 2019 | Condruzien(home) | 1-4 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Andennais(home) | 1-4 | Provincial - Namur |
| Dec 8, 2019 | Jeunesse Tamines(away) | 0-3 | Provincial - Namur |
| Dec 1, 2019 | Beauraing(home) | 2-3 | Provincial - Namur |
| Nov 24, 2019 | De Neffe(away) | 1-1 | Provincial - Namur |
| Nov 17, 2019 | ES de la Molignée(away) | 0-2 | Provincial - Namur |
How many goals should we expect?
Fernelmont-Hemptinne score 2.0 and concede 2.3 goals per match over their last 15; Profondeville score 1.4 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fernelmont-Hemptinne | 2.0 | 2.3 | 1 | 12/15 | 14/15 |
| Profondeville | 1.4 | 2.3 | 1 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Fernelmont-Hemptinne | 30 | 9 | 5 | 16 | 48 | 58 | 32 |
A question about Fernelmont-Hemptinne vs Profondeville?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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