Swansea vs QPR: result 4-1 and analysis
Premier LeagueRegular Season - 26Kick-off on February 9, 2013 at 03:00 PM (UTC)Swansea.com Stadium, Swansea
Full time
What was the result of Swansea vs QPR?
Swansea won 4-1 on February 9, 2013.
Goalscorers
- 8′Miguel Pérez CuestaSwansea
- 18′Àngel RangelSwansea
- 48′B. ZamoraQPR
- 50′Pablo HernándezSwansea
- 67′Miguel Pérez CuestaSwansea
What is the recent form of both teams?
Over their last 15 matches in all competitions, Swansea have 4 wins, 7 draws and 4 defeats; QPR have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2013 | West Ham(away) | 0-1 | Premier League |
| Jan 29, 2013 | Sunderland(away) | 0-0 | Premier League |
| Jan 23, 2013 | Chelsea(home) | 0-0 | League Cup |
| Jan 19, 2013 | Stoke City(home) | 3-1 | Premier League |
| Jan 16, 2013 | Arsenal(away) | 0-1 | FA Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2013 | Norwich(home) | 0-0 | Premier League |
| Jan 29, 2013 | Manchester City(home) | 0-0 | Premier League |
| Jan 26, 2013 | Milton Keynes Dons(home) | 2-4 | FA Cup |
| Jan 19, 2013 | West Ham(away) | 1-1 | Premier League |
| Jan 15, 2013 | West Brom(away) | 1-0 | FA Cup |
What does the head-to-head say?
Across the last 3 meetings: 1 Swansea win(s), 1 draw(s), 1 QPR win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2012 | QPR 0-5 Swansea | Premier League |
| Apr 11, 2012 | QPR 3-0 Swansea | Premier League |
| Dec 27, 2011 | Swansea 1-1 QPR | Premier League |
How many goals should we expect?
Swansea score 1.1 and concede 0.9 goals per match over their last 15; QPR score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Swansea | 1.1 | 0.9 | 6 | 6/15 | 5/15 |
| QPR | 0.8 | 1.1 | 6 | 7/15 | 5/15 |
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