Frauenfeld vs Adliswil: result 1-3 and analysis
2. Liga Interregional - Group 5Group 5 - 3Kick-off on September 3, 2022 at 02:00 PM (UTC)Stadion Kleine Allmend, Frauenfeld
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What was the result of Frauenfeld vs Adliswil?
Adliswil won 1-3 on September 3, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frauenfeld have 5 wins, 7 draws and 3 defeats; Adliswil have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Rorschach(away) | 4-2 | 2. Liga Interregional - Group 5 |
| Aug 20, 2022 | Amriswil(home) | 4-1 | 2. Liga Interregional - Group 5 |
| Jun 11, 2022 | SV Schaffhausen(home) | 1-3 | 2. Liga Interregional - Group 6 |
| Jun 4, 2022 | Rorschach(away) | 1-1 | 2. Liga Interregional - Group 6 |
| May 28, 2022 | Wil II(home) | 1-2 | 2. Liga Interregional - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2022 | Lachen / Altendorf(home) | 1-3 | 2. Liga Interregional - Group 5 |
| Jun 11, 2022 | Klingnau(away) | 3-0 | 2. Liga Interregional - Group 5 |
| Jun 4, 2022 | Mutschellen(home) | 2-0 | 2. Liga Interregional - Group 5 |
| May 28, 2022 | Grenchen(away) | 0-1 | 2. Liga Interregional - Group 5 |
| May 21, 2022 | Einsiedeln(home) | 7-0 | 2. Liga Interregional - Group 5 |
How many goals should we expect?
Frauenfeld score 2.0 and concede 1.6 goals per match over their last 15; Adliswil score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frauenfeld | 2.0 | 1.6 | 1 | 14/15 | 11/15 |
| Adliswil | 1.9 | 1.4 | 7 | 7/15 | 9/15 |
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 | Adliswil | 12 | 3 | 1 | 8 | 15 | 35 | 10 |
A question about Frauenfeld vs Adliswil?
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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