Baden vs Langenthal: result 2-5 and analysis
1. Liga Classic - Group 2Group 2 - 12Kick-off on October 26, 2019 at 02:00 PM (UTC)Stadion Esp, Fislisbach
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What was the result of Baden vs Langenthal?
Langenthal won 2-5 on October 26, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Baden have 6 wins, 4 draws and 1 defeat; Langenthal have 3, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Solothurn(home) | 2-0 | 1. Liga Classic - Group 2 |
| Oct 4, 2019 | Grasshopper II(away) | 1-0 | 1. Liga Classic - Group 2 |
| Sep 28, 2019 | Zug(home) | 5-2 | 1. Liga Classic - Group 2 |
| Sep 22, 2019 | Biel-Bienne(away) | 3-3 | 1. Liga Classic - Group 2 |
| Sep 18, 2019 | Bassecourt(home) | 1-1 | 1. Liga Classic - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Zug(away) | 2-2 | 1. Liga Classic - Group 2 |
| Sep 29, 2019 | Biel-Bienne(home) | 0-3 | 1. Liga Classic - Group 2 |
| 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 |
How many goals should we expect?
Baden score 2.6 and concede 1.4 goals per match over their last 11; Langenthal score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baden | 2.6 | 1.4 | 4 | 7/11 | 7/11 |
| Langenthal | 1.5 | 2.0 | 2 | 4/10 | 8/10 |
Over the last 11 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 Baden vs Langenthal?
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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