Reading vs Chelsea: result 2-2 and analysis
Premier LeagueRegular Season - 24Kick-off on January 30, 2013 at 08:00 PM (UTC)Select Car Leasing Stadium, Reading, Berkshire
Full time
What was the result of Reading vs Chelsea?
Reading and Chelsea drew 2-2 on January 30, 2013.
Goalscorers
- 45′MataChelsea
- 66′F. LampardChelsea
- 87′A. Le FondreReading
- 90′A. Le FondreReading
What is the recent form of both teams?
Over their last 15 matches in all competitions, Reading have 6 wins, 1 draws and 8 defeats; Chelsea have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2013 | Sheffield Utd(home) | 4-0 | FA Cup |
| Jan 19, 2013 | Newcastle(away) | 2-1 | Premier League |
| Jan 12, 2013 | West Brom(home) | 3-2 | Premier League |
| Jan 5, 2013 | Crawley Town(away) | 3-1 | FA Cup |
| Jan 1, 2013 | Tottenham(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2013 | Brentford(away) | 2-2 | FA Cup |
| Jan 23, 2013 | Swansea(away) | 0-0 | League Cup |
| Jan 20, 2013 | Arsenal(home) | 2-1 | Premier League |
| Jan 16, 2013 | Southampton(home) | 2-2 | Premier League |
| Jan 12, 2013 | Stoke City(away) | 4-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Reading win(s), 0 draw(s), 1 Chelsea win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2012 | Chelsea 4-2 Reading | Premier League |
How many goals should we expect?
Reading score 1.5 and concede 1.7 goals per match over their last 15; Chelsea score 2.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reading | 1.5 | 1.7 | 3 | 8/15 | 10/15 |
| Chelsea | 2.7 | 1.1 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Chelsea | 38 | 14 | 10 | 14 | 58 | 52 | 52 |
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