West Brom vs Swansea: result 0-2 and analysis
Premier LeagueRegular Season - 3Kick-off on September 1, 2013 at 12:30 PM (UTC)The Hawthorns, West Bromwich
Full time
What was the result of West Brom vs Swansea?
Swansea won 0-2 on September 1, 2013.
Goalscorers
- 22′B. DaviesSwansea
- 83′Pablo HernándezSwansea
What is the recent form of both teams?
Over their last 15 matches in all competitions, West Brom have 4 wins, 4 draws and 7 defeats; Swansea have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2013 | Newport County(home) | 3-0 | League Cup |
| Aug 24, 2013 | Everton(away) | 0-0 | Premier League |
| Aug 17, 2013 | Southampton(home) | 0-1 | Premier League |
| May 19, 2013 | Manchester United(home) | 5-5 | Premier League |
| May 12, 2013 | Norwich(away) | 0-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2013 | Tottenham(away) | 0-1 | Premier League |
| Aug 17, 2013 | Manchester United(home) | 1-4 | Premier League |
| May 19, 2013 | Fulham(home) | 0-3 | Premier League |
| May 12, 2013 | Manchester United(away) | 1-2 | Premier League |
| May 7, 2013 | Wigan(away) | 3-2 | Premier League |
What does the head-to-head say?
Across the last 4 meetings: 1 West Brom win(s), 0 draw(s), 3 Swansea win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2013 | West Brom 2-1 Swansea | Premier League |
| Nov 28, 2012 | Swansea 3-1 West Brom | Premier League |
| Feb 4, 2012 | West Brom 1-2 Swansea | Premier League |
| Sep 17, 2011 | Swansea 3-0 West Brom | Premier League |
How many goals should we expect?
West Brom score 1.3 and concede 1.5 goals per match over their last 15; Swansea score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| West Brom | 1.3 | 1.5 | 4 | 7/15 | 9/15 |
| Swansea | 1.0 | 1.8 | 4 | 6/15 | 9/15 |
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