Bazenheid vs Kreuzlingen: result 1-7 and analysis
2. Liga Interregional - Group 6Group 6 - 5Kick-off on September 19, 2020 at 03:30 PM (UTC)Sportplatz Ifang, Bazenheid
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What was the result of Bazenheid vs Kreuzlingen?
Kreuzlingen won 1-7 on September 19, 2020.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Bazenheid have 2 wins, 1 draw and 1 defeat; Kreuzlingen have 1, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | United Zürich(away) | 4-2 | 2. Liga Interregional - Group 6 |
| Sep 9, 2020 | Bassersdorf(away) | 1-2 | 2. Liga Interregional - Group 6 |
| Sep 4, 2020 | Seuzach(home) | 2-1 | 2. Liga Interregional - Group 6 |
| Aug 22, 2020 | Wil II(home) | 1-1 | 2. Liga Interregional - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Weesen(home) | 4-1 | 2. Liga Interregional - Group 6 |
| Sep 5, 2020 | Uzwil(away) | 0-1 | 2. Liga Interregional - Group 6 |
| Aug 29, 2020 | Amriswil(home) | 0-4 | 2. Liga Interregional - Group 6 |
| Jun 20, 2020 | Brühl(away) | 1-1 | Friendlies Clubs |
How many goals should we expect?
Bazenheid score 2.0 and concede 1.5 goals per match over their last 4; Kreuzlingen score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bazenheid | 2.0 | 1.5 | 0 | 4/4 | 3/4 |
| Kreuzlingen | 1.3 | 1.8 | 0 | 2/4 | 2/4 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Bazenheid sit 10th in 2. Liga Interregional - Group 6 (11 points from 12 matches) and Kreuzlingen sit 2nd (28 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kreuzlingen | 12 | 9 | 1 | 2 | 34 | 12 | 28 |
| 10 | Bazenheid | 12 | 3 | 2 | 7 | 13 | 31 | 11 |
A question about Bazenheid vs Kreuzlingen?
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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