Blackburn vs Arsenal: result 1-2 and analysis
Premier LeagueRegular Season - 3Kick-off on August 28, 2010 at 11:45 AM (UTC)Ewood Park, Blackburn, Lancashire
Full time
What was the result of Blackburn vs Arsenal?
Arsenal won 1-2 on August 28, 2010.
Goalscorers
- 20′T. WalcottArsenal
- 27′M. DioufBlackburn
- 51′Andrey ArshavinArsenal
Official lineup for Blackburn vs Arsenal
The starting elevens fielded at kick-off.
Blackburn
- 9N. Kalinić
- 10E. Diouf
- 41M. Diouf
- 11Vince Grella
- 12M. Pedersen
- 4C. Samba
- 6R. Nelsen
- 5G. Givet
- 27Miguel Ángel Salgado Fernández
- 28P. Jones
- 1P. Robinson
Arsenal
- 10Robin van Persie
- 14T. Walcott
- 2Vassiriki Abou Diaby
- 4Cesc Fàbregas
- 17Alexandre Dimitri Song-Billong
- 23Andrey Arshavin
- 3B. Sagna
- 5Thomas Vermaelen
- 6Laurent Koscielny
- 22G. Clichy
- 1Manuel Almunia Rivero
What is the recent form of both teams?
Over their last 2 matches in all competitions, Blackburn have 1 win, 0 draws and 1 defeat; Arsenal have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2010 | Birmingham(away) | 1-2 | Premier League |
| Aug 14, 2010 | Everton(home) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2010 | Blackpool(home) | 6-0 | Premier League |
| Aug 15, 2010 | Liverpool(away) | 1-1 | Premier League |
How many goals should we expect?
Blackburn score 1.0 and concede 1.0 goals per match over their last 2; Arsenal score 3.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blackburn | 1.0 | 1.0 | 1 | 1/2 | 1/2 |
| Arsenal | 3.5 | 0.5 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Arsenal | 6 | 5 | 0 | 1 | 10 | 5 | 15 |
A question about Blackburn vs Arsenal?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy