Plzen vs FC Lugano: result 4-1 and analysis
UEFA Europa LeagueGroup Stage - 4Kick-off on November 2, 2017 at 08:05 PM (UTC)Doosan Aréna, Plzeň
Full time
What was the result of Plzen vs FC Lugano?
Plzen won 4-1 on November 2, 2017.
Goalscorers
- 4′M. KrmenčíkPlzen
- 15′D. MarianiFC Lugano
- 19′M. KrmenčíkPlzen
- 45′Tomáš HořavaPlzen
- 56′A. ČermákPlzen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Plzen have 3 wins, 6 draws and 6 defeats; FC Lugano have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2017 | FC Lugano(away) | 2-3 | UEFA Europa League |
| Sep 28, 2017 | Hapoel Beer Sheva(home) | 3-1 | UEFA Europa League |
| Sep 14, 2017 | FCSB(away) | 0-3 | UEFA Europa League |
| Aug 24, 2017 | AEK Larnaca(away) | 0-0 | UEFA Europa League |
| Aug 17, 2017 | AEK Larnaca(home) | 3-1 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | FC Luzern(home) | 1-0 | Super League |
| Oct 22, 2017 | FC Sion(away) | 2-2 | Super League |
| Oct 19, 2017 | Plzen(home) | 3-2 | UEFA Europa League |
| Oct 14, 2017 | FC Basel 1893(home) | 0-4 | Super League |
| Oct 1, 2017 | FC Zurich(away) | 0-3 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Plzen win(s), 0 draw(s), 1 FC Lugano win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2017 | FC Lugano 3-2 Plzen | UEFA Europa League |
How many goals should we expect?
Plzen score 1.3 and concede 1.9 goals per match over their last 15; FC Lugano score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Plzen | 1.3 | 1.9 | 2 | 11/15 | 10/15 |
| FC Lugano | 1.1 | 1.9 | 2 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Plzen | 8 | 3 | 5 | 0 | 8 | 3 | 14 |
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