Rotkreuz vs Dietikon: result 1-1 and analysis
2. Liga Interregional - Group 5Group 5 - 9Kick-off on October 16, 2021 at 04:00 PM (UTC)Sportpark Rotkreuz 1, Risch-Rotkreuz
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What was the result of Rotkreuz vs Dietikon?
Rotkreuz and Dietikon drew 1-1 on October 16, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rotkreuz have 12 wins, 1 draw and 2 defeats; Dietikon have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Wangen(away) | 3-1 | 2. Liga Interregional - Group 5 |
| Oct 2, 2021 | Schöftland(home) | 2-0 | 2. Liga Interregional - Group 5 |
| Sep 26, 2021 | Unterstrass(away) | 1-0 | 2. Liga Interregional - Group 5 |
| Sep 18, 2021 | Sursee(away) | 2-1 | 2. Liga Interregional - Group 5 |
| Sep 11, 2021 | Adliswil(home) | 1-0 | 2. Liga Interregional - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 11, 2021 | Mutschellen(home) | 3-0 | 2. Liga Interregional - Group 5 |
How many goals should we expect?
Rotkreuz score 2.5 and concede 0.9 goals per match over their last 15; Dietikon score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rotkreuz | 2.5 | 0.9 | 7 | 7/15 | 8/15 |
| Dietikon | 1.9 | 1.3 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Rotkreuz | 12 | 8 | 1 | 3 | 27 | 13 | 25 |
A question about Rotkreuz 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