Chevetogne vs Biesme: result 2-1 and analysis
Provincial - NamurNamur - 16Kick-off on November 22, 2019 at 07:00 PM (UTC)Terrain de Chevetogne, Chevetogne
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What was the result of Chevetogne vs Biesme?
Chevetogne won 2-1 on November 22, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Chevetogne have 6 wins, 1 draws and 6 defeats; Biesme have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Jeunesse Tamines(away) | 1-4 | Provincial - Namur |
| Nov 10, 2019 | Beauraing(home) | 3-0 | Provincial - Namur |
| Oct 26, 2019 | De Neffe(away) | 1-2 | Provincial - Namur |
| Oct 19, 2019 | Fernelmont-Hemptinne(home) | 3-0 | Provincial - Namur |
| Oct 13, 2019 | Andennais(away) | 3-3 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | De Neffe(away) | 0-2 | Provincial - Namur |
| Nov 10, 2019 | Fernelmont-Hemptinne(home) | 2-2 | Provincial - Namur |
| Oct 27, 2019 | Andennais(away) | 1-1 | Provincial - Namur |
| Oct 19, 2019 | ES de la Molignée(home) | 2-1 | Provincial - Namur |
| Oct 13, 2019 | Pesche(away) | 3-3 | Provincial - Namur |
What does the head-to-head say?
Across the last 1 meetings: 0 Chevetogne win(s), 0 draw(s), 1 Biesme win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 16, 2019 | Biesme 2-0 Chevetogne | Provincial - Namur |
How many goals should we expect?
Chevetogne score 2.1 and concede 1.7 goals per match over their last 13; Biesme score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chevetogne | 2.1 | 1.7 | 4 | 7/13 | 11/13 |
| Biesme | 2.3 | 1.5 | 5 | 9/15 | 12/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Chevetogne | 30 | 16 | 4 | 10 | 75 | 46 | 52 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy