Dietikon vs Muttenz: result 1-1 and analysis
2. Liga Interregional - Group 3Group 3 - 25Kick-off on May 13, 2023 at 02:00 PM (UTC)NEO!-Arena, Fahrweid
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What was the result of Dietikon vs Muttenz?
Dietikon and Muttenz drew 1-1 on May 13, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dietikon have 11 wins, 1 draws and 3 defeats; Muttenz have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Bubendorf(away) | 2-0 | 2. Liga Interregional - Group 3 |
| Apr 29, 2023 | Zofingen(home) | 1-0 | 2. Liga Interregional - Group 3 |
| Apr 22, 2023 | Red Star Zürich(away) | 4-1 | 2. Liga Interregional - Group 3 |
| Apr 15, 2023 | Mutschellen(home) | 3-2 | 2. Liga Interregional - Group 3 |
| Apr 6, 2023 | Regensdorf(away) | 3-0 | 2. Liga Interregional - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Pratteln(home) | 4-0 | 2. Liga Interregional - Group 3 |
| Apr 29, 2023 | Old Boys(away) | 2-1 | 2. Liga Interregional - Group 3 |
| Apr 22, 2023 | Unterstrass(home) | 1-3 | 2. Liga Interregional - Group 3 |
| Apr 15, 2023 | FC Windisch(away) | 4-0 | 2. Liga Interregional - Group 3 |
| Apr 6, 2023 | Schöftland(home) | 5-1 | 2. Liga Interregional - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 0 Dietikon win(s), 0 draw(s), 1 Muttenz win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2022 | Muttenz 2-1 Dietikon | 2. Liga Interregional - Group 3 |
How many goals should we expect?
Dietikon score 2.9 and concede 1.3 goals per match over their last 15; Muttenz score 2.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dietikon | 2.9 | 1.3 | 5 | 10/15 | 12/15 |
| Muttenz | 2.9 | 0.9 | 5 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
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