Pesche vs Grand-Leez: result 1-5 and analysis
Provincial - NamurNamur - 11Kick-off on October 27, 2019 at 01:00 PM (UTC)Terrain de Pesche, Pesche
Full time
What was the result of Pesche vs Grand-Leez?
Grand-Leez won 1-5 on October 27, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Pesche have 1 win, 3 draws and 6 defeats; Grand-Leez have 5, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Condruzien(away) | 0-1 | Provincial - Namur |
| Oct 13, 2019 | Biesme(home) | 3-3 | Provincial - Namur |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Wépion(home) | 2-0 | Provincial - Namur |
| Oct 13, 2019 | Rhisnes(away) | 2-3 | Provincial - Namur |
| Oct 5, 2019 | Profondeville(home) | 2-0 | Provincial - Namur |
| Sep 29, 2019 | Loyers(away) | 2-2 | Provincial - Namur |
| Sep 22, 2019 | Condruzien(away) | 4-1 | Provincial - Namur |
How many goals should we expect?
Pesche score 1.0 and concede 2.4 goals per match over their last 10; Grand-Leez score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pesche | 1.0 | 2.4 | 1 | 6/10 | 7/10 |
| Grand-Leez | 1.8 | 1.4 | 4 | 7/12 | 6/12 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Grand-Leez | 30 | 23 | 4 | 3 | 84 | 25 | 73 |
A question about Pesche vs Grand-Leez?
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