Basel II vs Brühl: result 1-0 and analysis
1. Liga PromotionRegular Season - 9Kick-off on September 23, 2017 at 01:00 PM (UTC)Leichtathletik-Stadion St. Jakob, Basel
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What was the result of Basel II vs Brühl?
Basel II won 1-0 on September 23, 2017.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Basel II have 2 wins, 4 draws and 2 defeats; Brühl have 5, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Bavois(away) | 0-0 | 1. Liga Promotion |
| Sep 9, 2017 | Zürich II(home) | 1-1 | 1. Liga Promotion |
| Sep 2, 2017 | Yverdon Sport(away) | 1-2 | 1. Liga Promotion |
| Aug 26, 2017 | Old Boys(home) | 3-3 | 1. Liga Promotion |
| Aug 19, 2017 | Stade Lausanne-Ouchy(away) | 4-0 | 1. Liga Promotion |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Breitenrain(home) | 5-0 | 1. Liga Promotion |
| Sep 9, 2017 | United Zürich(away) | 2-1 | 1. Liga Promotion |
| Sep 2, 2017 | Stade Nyonnais(home) | 1-2 | 1. Liga Promotion |
| Aug 26, 2017 | SC Kriens(away) | 1-4 | 1. Liga Promotion |
| Aug 19, 2017 | Köniz(home) | 2-1 | 1. Liga Promotion |
How many goals should we expect?
Basel II score 1.8 and concede 1.3 goals per match over their last 8; Brühl score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Basel II | 1.8 | 1.3 | 2 | 5/8 | 4/8 |
| Brühl | 2.3 | 1.3 | 3 | 5/8 | 7/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Basel II sit 8th in 1. Liga Promotion (16 points from 11 matches) and Brühl sit 12th (14 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Basel II | 11 | 5 | 1 | 5 | 21 | 21 | 16 |
| 12 | Brühl | 11 | 4 | 2 | 5 | 13 | 15 | 14 |
A question about Basel II vs Brühl?
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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