Dietikon vs Schöftland: result 3-2 and analysis
2. Liga Interregional - Group 5Group 5 - 10Kick-off on October 23, 2021 at 02:00 PM (UTC)NEO!-Arena, Fahrweid
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What was the result of Dietikon vs Schöftland?
Dietikon won 3-2 on October 23, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dietikon have 9 wins, 2 draws and 4 defeats; Schöftland have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Rotkreuz(away) | 1-1 | 2. Liga Interregional - Group 5 |
| Oct 9, 2021 | Sursee(home) | 3-0 | 2. Liga Interregional - Group 5 |
| Oct 2, 2021 | Adliswil(away) | 2-0 | 2. Liga Interregional - Group 5 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Wangen(home) | 4-0 | 2. Liga Interregional - Group 5 |
| Oct 10, 2021 | Unterstrass(away) | 1-0 | 2. Liga Interregional - Group 5 |
| Oct 2, 2021 | Rotkreuz(away) | 0-2 | 2. Liga Interregional - Group 5 |
| Sep 25, 2021 | Sursee(home) | 1-2 | 2. Liga Interregional - Group 5 |
| Sep 18, 2021 | Adliswil(away) | 2-2 | 2. Liga Interregional - Group 5 |
How many goals should we expect?
Dietikon score 1.9 and concede 1.0 goals per match over their last 15; Schöftland score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dietikon | 1.9 | 1.0 | 6 | 8/15 | 8/15 |
| Schöftland | 2.1 | 0.9 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Schöftland | 12 | 7 | 1 | 4 | 24 | 15 | 22 |
A question about Dietikon vs Schöftland?
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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