Servette II vs Brühl: result 1-2 and analysis
1. Liga PromotionRegular Season - 10Kick-off on October 8, 2023 at 02:00 PM (UTC)Centre Sportif Bois-des-Frères Terrain 1 Libellules, Vernier
Full time
What was the result of Servette II vs Brühl?
Brühl won 1-2 on October 8, 2023.
Goalscorers
- 10′?Servette II
- 45′?Brühl
- 64′SilvioBrühl
What is the recent form of both teams?
Over their last 15 matches in all competitions, Servette II have 5 wins, 5 draws and 5 defeats; Brühl have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2023 | SC Kriens(home) | 2-3 | 1. Liga Promotion |
| Sep 24, 2023 | Delémont(away) | 3-1 | 1. Liga Promotion |
| Sep 17, 2023 | Étoile Carouge(home) | 1-3 | 1. Liga Promotion |
| Sep 9, 2023 | Cham(away) | 3-4 | 1. Liga Promotion |
| Sep 3, 2023 | Bavois(home) | 1-1 | 1. Liga Promotion |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2023 | Delémont(home) | 4-1 | 1. Liga Promotion |
| Sep 27, 2023 | Cham(home) | 4-1 | 1. Liga Promotion |
| Sep 23, 2023 | Étoile Carouge(away) | 1-3 | 1. Liga Promotion |
| Sep 17, 2023 | Lausanne(home) | 0-4 | Schweizer Cup |
| Sep 9, 2023 | Bavois(away) | 1-5 | 1. Liga Promotion |
How many goals should we expect?
Servette II score 2.6 and concede 1.8 goals per match over their last 15; Brühl score 1.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Servette II | 2.6 | 1.8 | 2 | 13/15 | 10/15 |
| Brühl | 1.9 | 2.2 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Brühl | 11 | 4 | 2 | 5 | 13 | 15 | 14 |
A question about Servette II vs Brühl?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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