Zug vs Solothurn: result 1-3 and analysis
1. Liga Classic - Group 2Group 2 - 7Kick-off on September 14, 2019 at 03:00 PM (UTC)Stadion Herti Allmend, Zug
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What was the result of Zug vs Solothurn?
Solothurn won 1-3 on September 14, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Zug have 1 wins, 1 draws and 4 defeats; Solothurn have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 22, 2019 | Goldau(away) | 2-3 | 1. Liga Classic - Group 2 |
| Aug 17, 2019 | Muttenz(home) | 0-3 | 1. Liga Classic - Group 2 |
| Aug 10, 2019 | Schötz(away) | 2-3 | 1. Liga Classic - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Luzern II(home) | 3-3 | 1. Liga Classic - Group 2 |
| Sep 1, 2019 | Biel-Bienne(away) | 1-2 | 1. Liga Classic - Group 2 |
| Aug 24, 2019 | Delémont(home) | 2-3 | 1. Liga Classic - Group 2 |
| Aug 21, 2019 | Bassecourt(away) | 2-1 | 1. Liga Classic - Group 2 |
| Aug 10, 2019 | FC Wohlen(home) | 3-2 | 1. Liga Classic - Group 2 |
How many goals should we expect?
Zug score 1.2 and concede 2.3 goals per match over their last 6; Solothurn score 2.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zug | 1.2 | 2.3 | 1 | 3/6 | 5/6 |
| Solothurn | 2.3 | 2.0 | 0 | 6/6 | 6/6 |
Over the last 6 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 Solothurn sit 6th (4 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Solothurn | 3 | 1 | 1 | 1 | 6 | 4 | 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