Grasshoppers vs Lausanne: result 2-0 and analysis
Super LeagueRegular Season - 1Kick-off on July 24, 2016 at 11:45 AM (UTC)Stadion Letzigrund, Zürich
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What was the result of Grasshoppers vs Lausanne?
Grasshoppers won 2-0 on July 24, 2016.
Goalscorers
- 24′Caio César Alves dos SantosGrasshoppers
- 64′Caio César Alves dos SantosGrasshoppers
Official lineup for Grasshoppers vs Lausanne
The starting elevens fielded at kick-off.
Grasshoppers
- 10L. Andersen
- 20R. Munsy
- 4K. Källström
- 7R. Sigurjónsson
- 11M. Brahimi
- 21Caio César Alves dos Santos
- 3N. Antonov
- 6A. Pnishi
- 14N. Lavanchy
- 24J. Bamert
- 18J. Mall
Lausanne
- 9Pak Kwang-Ryong
- 19F. Margiotta
- 37G. Torres
- 4Jérémy Manière
- 8M. Araz
- 17O. Custodio
- 18A. Maccoppi
- 6Elton Monteiro
- 16N. Gétaz
- 23J. Lotomba
- 1T. Castella
What is the recent form of both teams?
Over their last 8 matches in all competitions, Grasshoppers have 1 win, 2 draws and 5 defeats; Lausanne have 0, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2016 | KR Reykjavik(home) | 2-1 | UEFA Europa League |
| Jul 14, 2016 | KR Reykjavik(away) | 3-3 | UEFA Europa League |
| Aug 28, 2014 | Club Brugge KV(away) | 0-1 | UEFA Europa League |
| Aug 21, 2014 | Club Brugge KV(home) | 1-2 | UEFA Europa League |
| Aug 5, 2014 | Lille(away) | 1-1 | UEFA Champions League |
Where do both teams sit in the table?
Grasshoppers sit 11th in Super League (8 points from 10 matches) and Lausanne sit 12th (6 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Grasshoppers | 10 | 2 | 2 | 6 | 13 | 26 | 8 |
| 12 | Lausanne | 10 | 1 | 3 | 6 | 7 | 16 | 6 |
A question about Grasshoppers vs Lausanne?
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