Biesme vs Pesche: result 6-0 and analysis
Provincial - NamurNamur - 24Kick-off on February 21, 2020 at 07:00 PM (UTC)Terrain Biesme St De La Tourette, Biesme
Full time
What was the result of Biesme vs Pesche?
Biesme won 6-0 on February 21, 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; Pesche have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2020 | Wépion(away) | 3-0 | Provincial - Namur |
| Jan 26, 2020 | Grand-Leez(home) | 0-0 | Provincial - Namur |
| Jan 19, 2020 | Condruzien(away) | 1-2 | Provincial - Namur |
| Jan 12, 2020 | Jeunesse Tamines(away) | 1-4 | Provincial - Namur |
| Dec 15, 2019 | Beauraing(home) | 3-0 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2020 | Nismes(home) | 1-2 | Provincial - Namur |
| Jan 26, 2020 | Beauraing(away) | 0-4 | Provincial - Namur |
| Jan 19, 2020 | De Neffe(home) | 1-1 | Provincial - Namur |
| Jan 12, 2020 | Loyers(home) | 3-0 | Provincial - Namur |
| Dec 15, 2019 | Wépion(away) | 0-3 | Provincial - Namur |
What does the head-to-head say?
In the last meeting: 0 Biesme wins, 1 draw, 0 Pesche wins.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2019 | Pesche 3-3 Biesme | Provincial - Namur |
How many goals should we expect?
Biesme score 1.7 and concede 1.5 goals per match over their last 15; Pesche score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biesme | 1.7 | 1.5 | 4 | 10/15 | 12/15 |
| Pesche | 1.1 | 2.5 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Biesme | 30 | 18 | 7 | 5 | 77 | 41 | 61 |
A question about Biesme vs Pesche?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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