QPR vs Northampton: result 1-0 and analysis
League Cup1st RoundKick-off on August 8, 2017 at 06:45 PM (UTC)MATRADE Loftus Road, London
Full time
What was the result of QPR vs Northampton?
QPR won 1-0 on August 8, 2017.
Goalscorers
- 36′Y. N'GbakotoQPR
Official lineup for QPR vs Northampton
The starting elevens fielded at kick-off.
QPR
- 17M. Smith
- 40I. Sylla
- 7L. Freeman
- 14R. Manning
- 16Ariel Borysiuk
- 23Y. N'Gbakoto
- 2D. Furlong
- 5N. Onuoha
- 15S. Caulker
- 18J. Robinson
- 13M. Ingram
Northampton
- 7B. Waters
- 10Alex Revell
- 19C. Long
- 4Yaser Kasim
- 22M. Crooks
- 3David Buchanan
- 5L. Barnett
- 6A. Taylor
- 16A. Pierre
- 18Aaron Phillips
- 1D. Cornell
What is the recent form of both teams?
Over their last 15 matches in all competitions, QPR have 6 wins, 1 draw and 8 defeats; Northampton have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Reading(home) | 2-0 | Championship |
| May 7, 2017 | Norwich(away) | 0-4 | Championship |
| Apr 29, 2017 | Nottingham Forest(home) | 2-0 | Championship |
| Apr 22, 2017 | Brentford(away) | 1-3 | Championship |
| Apr 17, 2017 | Sheffield Wednesday(home) | 1-2 | Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Shrewsbury(away) | 0-1 | League One |
| Apr 30, 2017 | Gillingham(home) | 0-0 | League One |
| Apr 22, 2017 | Bury(away) | 0-3 | League One |
| Apr 17, 2017 | Shrewsbury(home) | 1-1 | League One |
| Apr 14, 2017 | Millwall(away) | 0-3 | League One |
How many goals should we expect?
QPR score 1.3 and concede 1.4 goals per match over their last 15; Northampton score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| QPR | 1.3 | 1.4 | 3 | 9/15 | 10/15 |
| Northampton | 0.8 | 1.5 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about QPR vs Northampton?
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