FC Lugano vs Hapoel Beer Sheva: result 1-0 and analysis
UEFA Europa LeagueGroup Stage - 5Kick-off on November 23, 2017 at 06:00 PM (UTC)Stadio di Cornaredo, Lugano
Full time
What was the result of FC Lugano vs Hapoel Beer Sheva?
FC Lugano won 1-0 on November 23, 2017.
Goalscorers
- 50′Carlinhos JúniorFC Lugano
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Lugano have 4 wins, 3 draws and 8 defeats; Hapoel Beer Sheva have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | FC ST. Gallen(away) | 2-0 | Super League |
| Nov 5, 2017 | FC Thun(away) | 1-1 | Super League |
| Nov 2, 2017 | Plzen(away) | 1-4 | UEFA Europa League |
| Oct 29, 2017 | FC Luzern(home) | 1-0 | Super League |
| Oct 22, 2017 | FC Sion(away) | 2-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Hapoel Acre(home) | 3-1 | Ligat Ha'al |
| Nov 5, 2017 | Maccabi Petah Tikva(away) | 2-0 | Ligat Ha'al |
| Nov 2, 2017 | FCSB(away) | 1-1 | UEFA Europa League |
| Oct 29, 2017 | Ashdod(away) | 3-1 | Ligat Ha'al |
| Oct 23, 2017 | Maccabi Tel Aviv(home) | 2-1 | Ligat Ha'al |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Lugano win(s), 0 draw(s), 1 Hapoel Beer Sheva win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2017 | Hapoel Beer Sheva 2-1 FC Lugano | UEFA Europa League |
Last archived meeting: Hapoel Beer Sheva vs FC Lugano on Sep 14, 2017
How many goals should we expect?
FC Lugano score 1.2 and concede 2.0 goals per match over their last 15; Hapoel Beer Sheva score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Lugano | 1.2 | 2.0 | 2 | 9/15 | 11/15 |
| Hapoel Beer Sheva | 1.5 | 1.1 | 3 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy