Langenthal vs Biel-Bienne: result 0-3 and analysis
1. Liga Classic - Group 2Group 2 - 9Kick-off on September 29, 2019 at 01:00 PM (UTC)Hauptplatz Rankmatte, Langenthal
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What was the result of Langenthal vs Biel-Bienne?
Biel-Bienne won 0-3 on September 29, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Langenthal have 3 wins, 2 draws and 3 defeats; Biel-Bienne have 4, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Bassecourt(away) | 2-2 | 1. Liga Classic - Group 2 |
| Sep 14, 2019 | Goldau(home) | 5-0 | 1. Liga Classic - Group 2 |
| Sep 7, 2019 | Muttenz(away) | 0-1 | 1. Liga Classic - Group 2 |
| Sep 1, 2019 | Schötz(home) | 2-2 | 1. Liga Classic - Group 2 |
| Aug 24, 2019 | Buochs(away) | 3-2 | 1. Liga Classic - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Baden(home) | 3-3 | 1. Liga Classic - Group 2 |
| Sep 14, 2019 | Grasshopper II(away) | 2-3 | 1. Liga Classic - Group 2 |
| Sep 7, 2019 | Zug(home) | 2-2 | 1. Liga Classic - Group 2 |
| Sep 1, 2019 | Solothurn(home) | 2-1 | 1. Liga Classic - Group 2 |
| Aug 25, 2019 | Bassecourt(away) | 3-0 | 1. Liga Classic - Group 2 |
How many goals should we expect?
Langenthal score 1.6 and concede 1.9 goals per match over their last 8; Biel-Bienne score 2.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Langenthal | 1.6 | 1.9 | 2 | 3/8 | 6/8 |
| Biel-Bienne | 2.9 | 1.3 | 3 | 5/8 | 7/8 |
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 | Langenthal | 9 | 7 | 1 | 1 | 25 | 16 | 22 |
A question about Langenthal vs Biel-Bienne?
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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