Sparta Praha vs Southampton: result 1-0 and analysis
UEFA Europa LeagueGroup Stage - 5Kick-off on November 24, 2016 at 06:00 PM (UTC)Generali Arena, Praha
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What was the result of Sparta Praha vs Southampton?
Sparta Praha won 1-0 on November 24, 2016.
Goalscorers
- 11′Costa NhamoinesuSparta Praha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sparta Praha have 8 wins, 3 draws and 4 defeats; Southampton have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2016 | Hapoel Beer Sheva(home) | 2-0 | UEFA Europa League |
| Oct 20, 2016 | Hapoel Beer Sheva(away) | 1-0 | UEFA Europa League |
| Sep 29, 2016 | Inter(home) | 3-1 | UEFA Europa League |
| Sep 15, 2016 | Southampton(away) | 0-3 | UEFA Europa League |
| Aug 25, 2016 | Sonderjyske(home) | 3-2 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Liverpool(home) | 0-0 | Premier League |
| Nov 6, 2016 | Hull City(away) | 1-2 | Premier League |
| Nov 3, 2016 | Inter(home) | 2-1 | UEFA Europa League |
| Oct 30, 2016 | Chelsea(home) | 0-2 | Premier League |
| Oct 26, 2016 | Sunderland(home) | 1-0 | League Cup |
What does the head-to-head say?
Across the last 1 meetings: 0 Sparta Praha win(s), 0 draw(s), 1 Southampton win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2016 | Southampton 3-0 Sparta Praha | UEFA Europa League |
Last archived meeting: Southampton vs Sparta Praha on Sep 15, 2016
How many goals should we expect?
Sparta Praha score 1.6 and concede 1.1 goals per match over their last 15; Southampton score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sparta Praha | 1.6 | 1.1 | 6 | 7/15 | 8/15 |
| Southampton | 1.2 | 0.7 | 8 | 5/15 | 6/15 |
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