Pesche vs Biesme: result 3-3 and analysis
Provincial - NamurNamur - 9Kick-off on October 13, 2019 at 01:00 PM (UTC)Terrain de Pesche, Pesche
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What was the result of Pesche vs Biesme?
Pesche and Biesme drew 3-3 on October 13, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Pesche have 1 win, 2 draws and 5 defeats; Biesme have 7, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Nismes(away) | 0-5 | Provincial - Namur |
| Sep 29, 2019 | Chevetogne(home) | 1-2 | Provincial - Namur |
| Sep 22, 2019 | Jeunesse Tamines(away) | 0-5 | Provincial - Namur |
| Sep 15, 2019 | Beauraing(home) | 2-1 | Provincial - Namur |
| Sep 6, 2019 | De Neffe(away) | 0-0 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Wépion(home) | 3-0 | Provincial - Namur |
| Sep 29, 2019 | Rhisnes(away) | 2-1 | Provincial - Namur |
| Sep 21, 2019 | Profondeville(home) | 3-0 | Provincial - Namur |
| Sep 15, 2019 | Grand-Leez(away) | 3-0 | Provincial - Namur |
| Sep 6, 2019 | Condruzien(home) | 4-0 | Provincial - Namur |
How many goals should we expect?
Pesche score 0.9 and concede 2.5 goals per match over their last 8; Biesme score 2.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pesche | 0.9 | 2.5 | 1 | 5/8 | 6/8 |
| Biesme | 2.6 | 1.4 | 5 | 5/10 | 9/10 |
Over the last 8 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 Pesche vs Biesme?
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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