Grand-Leez vs Biesme: result 0-3 and analysis
Provincial - NamurNamur - 5Kick-off on September 15, 2019 at 01:00 PM (UTC)Stade Jean Josis, Grand-Leez
Full time
What was the result of Grand-Leez vs Biesme?
Biesme won 0-3 on September 15, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Grand-Leez have 2 wins, 2 draws and 2 defeats; Biesme have 3, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Nismes(away) | 1-2 | Provincial - Namur |
| Sep 1, 2019 | Chevetogne(home) | 2-0 | Provincial - Namur |
| Aug 25, 2019 | Jeunesse Tamines(away) | 2-4 | Provincial - Namur |
| Aug 18, 2019 | Beauraing(home) | 2-0 | Provincial - Namur |
| Aug 4, 2019 | Torhout(home) | 1-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2019 | Condruzien(home) | 4-0 | Provincial - Namur |
| Sep 1, 2019 | Loyers(away) | 2-4 | Provincial - Namur |
| Aug 25, 2019 | Nismes(away) | 2-3 | Provincial - Namur |
| Aug 16, 2019 | Chevetogne(home) | 2-0 | Provincial - Namur |
| Aug 4, 2019 | Ronse(away) | 1-5 | Cup |
How many goals should we expect?
Grand-Leez score 1.5 and concede 1.3 goals per match over their last 6; Biesme score 2.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grand-Leez | 1.5 | 1.3 | 2 | 4/6 | 2/6 |
| Biesme | 2.5 | 2.2 | 2 | 4/6 | 5/6 |
Over the last 6 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 Grand-Leez 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