Liestal vs Muri-Gümligen: result 0-3 and analysis
2. Liga Interregional - Group 2Group 2 - 2Kick-off on August 26, 2023 at 02:00 PM (UTC)Stadion Gitterli, Liestal
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What was the result of Liestal vs Muri-Gümligen?
Muri-Gümligen won 0-3 on August 26, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Liestal have 6 wins, 6 draws and 3 defeats; Muri-Gümligen have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2023 | Ajoie-Monterri(away) | 1-0 | 2. Liga Interregional - Group 2 |
| Jun 17, 2023 | Red Star Zürich(home) | 0-0 | 2. Liga Interregional - Group 3 |
| Jun 10, 2023 | Mutschellen(away) | 3-3 | 2. Liga Interregional - Group 3 |
| Jun 3, 2023 | Regensdorf(home) | 4-0 | 2. Liga Interregional - Group 3 |
| May 27, 2023 | Dietikon(away) | 1-3 | 2. Liga Interregional - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2023 | Bubendorf(home) | 1-1 | 2. Liga Interregional - Group 2 |
| Jun 17, 2023 | La Tour / Le Pâquier(away) | 2-2 | 2. Liga Interregional - Group 2 |
| Jun 10, 2023 | Châtel-St-Denis(home) | 3-2 | 2. Liga Interregional - Group 2 |
| Jun 3, 2023 | Farvagny / Ogoz(away) | 4-1 | 2. Liga Interregional - Group 2 |
| May 27, 2023 | Erguël(away) | 0-0 | 2. Liga Interregional - Group 2 |
How many goals should we expect?
Liestal score 1.7 and concede 1.1 goals per match over their last 15; Muri-Gümligen score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Liestal | 1.7 | 1.1 | 7 | 7/15 | 8/15 |
| Muri-Gümligen | 1.6 | 1.5 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Muri-Gümligen | 30 | 9 | 8 | 13 | 49 | 57 | 35 |
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