Dietikon vs Adliswil: result 0-1 and analysis
2. Liga Interregional - Group 5Group 5 - 20Kick-off on April 30, 2022 at 02:00 PM (UTC)NEO!-Arena, Fahrweid
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What was the result of Dietikon vs Adliswil?
Adliswil won 0-1 on April 30, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dietikon have 8 wins, 2 draws and 5 defeats; Adliswil have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Lachen / Altendorf(away) | 2-3 | 2. Liga Interregional - Group 5 |
| Apr 9, 2022 | Klingnau(home) | 2-1 | 2. Liga Interregional - Group 5 |
| Mar 26, 2022 | Grenchen(home) | 0-1 | 2. Liga Interregional - Group 5 |
| Mar 12, 2022 | Zofingen(home) | 1-0 | 2. Liga Interregional - Group 5 |
| Nov 13, 2021 | Muri(home) | 1-0 | 2. Liga Interregional - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Wangen(home) | 4-2 | 2. Liga Interregional - Group 5 |
| Apr 9, 2022 | Schöftland(away) | 1-0 | 2. Liga Interregional - Group 5 |
| Mar 26, 2022 | Sursee(away) | 0-0 | 2. Liga Interregional - Group 5 |
| Mar 19, 2022 | Unterstrass(home) | 3-1 | 2. Liga Interregional - Group 5 |
| Mar 12, 2022 | Lachen / Altendorf(home) | 2-2 | 2. Liga Interregional - Group 5 |
What does the head-to-head say?
Across the last 1 meetings: 1 Dietikon win(s), 0 draw(s), 0 Adliswil win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2021 | Adliswil 0-2 Dietikon | 2. Liga Interregional - Group 5 |
How many goals should we expect?
Dietikon score 1.7 and concede 1.1 goals per match over their last 15; Adliswil score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dietikon | 1.7 | 1.1 | 6 | 8/15 | 8/15 |
| Adliswil | 1.7 | 1.4 | 6 | 6/15 | 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 |
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