Adliswil vs Dietikon: result 0-2 and analysis
2. Liga Interregional - Group 5Group 5 - 7Kick-off on October 2, 2021 at 02:00 PM (UTC)Sportanlage Tal, Adliswil
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What was the result of Adliswil vs Dietikon?
Dietikon won 0-2 on October 2, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Adliswil have 6 wins, 3 draws and 6 defeats; Dietikon have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Wangen(away) | 1-0 | 2. Liga Interregional - Group 5 |
| Sep 18, 2021 | Schöftland(home) | 2-2 | 2. Liga Interregional - Group 5 |
| Sep 11, 2021 | Rotkreuz(away) | 0-1 | 2. Liga Interregional - Group 5 |
| Sep 4, 2021 | Sursee(home) | 2-1 | 2. Liga Interregional - Group 5 |
| Aug 28, 2021 | Unterstrass(away) | 1-1 | 2. Liga Interregional - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Lachen / Altendorf(home) | 2-0 | 2. Liga Interregional - Group 5 |
| Sep 18, 2021 | Klingnau(away) | 1-2 | 2. Liga Interregional - Group 5 |
| Sep 11, 2021 | Mutschellen(home) | 3-0 | 2. Liga Interregional - Group 5 |
| Sep 8, 2021 | Zofingen(away) | 1-1 | 2. Liga Interregional - Group 5 |
| Sep 4, 2021 | Grenchen(away) | 2-0 | 2. Liga Interregional - Group 5 |
How many goals should we expect?
Adliswil score 1.1 and concede 1.9 goals per match over their last 15; Dietikon score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Adliswil | 1.1 | 1.9 | 5 | 6/15 | 10/15 |
| Dietikon | 1.7 | 1.7 | 4 | 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 | Adliswil | 12 | 3 | 1 | 8 | 15 | 35 | 10 |
A question about Adliswil vs Dietikon?
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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