Zug vs Langenthal: result 2-2 and analysis
1. Liga Classic - Group 2Group 2 - 10Kick-off on October 12, 2019 at 03:00 PM (UTC)Stadion Herti Allmend, Zug
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What was the result of Zug vs Langenthal?
Zug and Langenthal drew 2-2 on October 12, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Zug have 1 wins, 1 draws and 7 defeats; Langenthal have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Baden(away) | 2-5 | 1. Liga Classic - Group 2 |
| Sep 22, 2019 | Grasshopper II(home) | 1-5 | 1. Liga Classic - Group 2 |
| Sep 14, 2019 | Solothurn(home) | 1-3 | 1. Liga Classic - Group 2 |
| Sep 7, 2019 | Biel-Bienne(away) | 2-2 | 1. Liga Classic - Group 2 |
| Aug 31, 2019 | Bassecourt(home) | 0-3 | 1. Liga Classic - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 1, 2019 | Schötz(home) | 2-2 | 1. Liga Classic - Group 2 |
How many goals should we expect?
Zug score 1.2 and concede 3.0 goals per match over their last 9; Langenthal score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zug | 1.2 | 3.0 | 1 | 6/9 | 8/9 |
| Langenthal | 1.4 | 2.0 | 2 | 3/9 | 7/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Zug sit 15th in 1. Liga Classic - Group 2 (0 points from 3 matches) and Langenthal sit 8th (4 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Langenthal | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
| 15 | Zug | 3 | 0 | 0 | 3 | 3 | 8 | 0 |
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