Carlisle vs Blackburn Rovers U23: result 2-0 and analysis
EFL TrophyGroup Stage - 7Kick-off on October 4, 2016 at 06:45 PM (UTC)Brunton Park, Carlisle, Cumbria
Full time
What was the result of Carlisle vs Blackburn Rovers U23?
Carlisle won 2-0 on October 4, 2016.
Goalscorers
- 39′S. MillerCarlisle
- 88′D. GraingerCarlisle (pen.)
Official lineup for Carlisle vs Blackburn Rovers U23
The starting elevens fielded at kick-off.
Carlisle
- 14Jabo Ibehre
- 19R. Lambe
- 20S. Miller
- 4Luke James Joyce
- 7J. Kennedy
- 17J. Devitt
- 3D. Grainger
- 6M. Ellis
- 15S. Brisley
- 23T. Miller
- 22M. Crocombe
Blackburn Rovers U23
- 9A. Stokes
- 28C. Mahoney
- 47Lewis David Mansell
- 27W. Tomlinson
- 31E. Bennett
- 46Lewis Hardcastle
- 24R. Nyambe
- 30Wes Brown
- 34S. Wharton
- 36J. Doyle
- 33David Raya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Carlisle have 7 wins, 8 draws and 0 defeats; Blackburn Rovers U23 have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Colchester(home) | 2-0 | League Two |
| Sep 27, 2016 | Doncaster(away) | 2-2 | League Two |
| Sep 24, 2016 | Wycombe(home) | 1-0 | League Two |
| Sep 17, 2016 | Blackpool(away) | 2-2 | League Two |
| Sep 10, 2016 | Leyton Orient(home) | 2-2 | League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2016 | Fleetwood Town(away) | 0-1 | EFL Trophy |
How many goals should we expect?
Carlisle score 2.0 and concede 1.2 goals per match over their last 15; Blackburn Rovers U23 score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Carlisle | 2.0 | 1.2 | 5 | 10/15 | 8/15 |
| Blackburn Rovers U23 | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Carlisle vs Blackburn Rovers U23?
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