Bezau vs Ludesch: result 1-2 and analysis
Landesliga - VorarlbergligaVorarlberg - 13Kick-off on October 29, 2019 at 06:00 PM (UTC)Auto GEMO Arena Bezau, Bezau
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What was the result of Bezau vs Ludesch?
Ludesch won 1-2 on October 29, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Bezau have 5 wins, 3 draws and 6 defeats; Ludesch have 4, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Fussach(away) | 0-0 | Landesliga - Vorarlbergliga |
| Oct 19, 2019 | Admira Dornbirn(home) | 3-1 | Landesliga - Vorarlbergliga |
| Oct 4, 2019 | Göfis(home) | 4-1 | Landesliga - Vorarlbergliga |
| Sep 29, 2019 | Blau-Weiß Feldkirch(away) | 2-3 | Landesliga - Vorarlbergliga |
| Sep 21, 2019 | Hard(home) | 2-0 | Landesliga - Vorarlbergliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Lustenau(home) | 1-3 | Landesliga - Vorarlbergliga |
| Oct 19, 2019 | Lochau(away) | 1-1 | Landesliga - Vorarlbergliga |
| Oct 5, 2019 | Fussach(away) | 2-3 | Landesliga - Vorarlbergliga |
| Sep 28, 2019 | Admira Dornbirn(home) | 2-1 | Landesliga - Vorarlbergliga |
| Sep 21, 2019 | Nenzing(home) | 1-1 | Landesliga - Vorarlbergliga |
How many goals should we expect?
Bezau score 1.7 and concede 1.9 goals per match over their last 14; Ludesch score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bezau | 1.7 | 1.9 | 3 | 9/14 | 10/14 |
| Ludesch | 1.6 | 2.1 | 1 | 11/14 | 11/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Ludesch | 25 | 10 | 4 | 10 | 39 | 37 | 34 |
A question about Bezau vs Ludesch?
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