Reading U23 vs Yeovil Town: result 0-2 and analysis
EFL TrophyGroup Stage - 10Kick-off on November 9, 2016 at 07:30 PM (UTC)Adams Park, High Wycombe, Buckinghamshire
Full time
What was the result of Reading U23 vs Yeovil Town?
Yeovil Town won 0-2 on November 9, 2016.
Goalscorers
- 48′T. EavesYeovil Town
- 89′F. ZokoYeovil Town
Official lineup for Reading U23 vs Yeovil Town
The starting elevens fielded at kick-off.
Reading U23
- 14D. Samuel
- 36A. Novaković
- 38L. Kelly
- 42A. Rinomhota
- 60T. Frost
- 3J. Cooper
- 28D. Gravenberch
- 30T. Watson
- 53O. Richards
- 59T. Mcintyre
- 40S. Moore
Yeovil Town
- 10Otis Khan
- 19T. Campbell
- 4M. Dolan
- 16M. Butcher
- 28B. Whitfield
- 2L. Shephard
- 3N. Smith
- 5B. Mugabi
- 6A. Lacey
- 23R. Hedges
- 12J. Maddison
What is the recent form of both teams?
Over their last 2 matches in all competitions, Reading U23 have 1 win, 1 draw and 0 defeats; Yeovil Town have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2016 | Portsmouth(away) | 2-2 | EFL Trophy |
| Aug 30, 2016 | Bristol Rovers(away) | 3-2 | EFL Trophy |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Solihull Moors(home) | 2-2 | FA Cup |
| Oct 29, 2016 | Grimsby(home) | 0-0 | League Two |
| Oct 22, 2016 | Crewe(away) | 1-0 | League Two |
| Oct 15, 2016 | Newport County(home) | 1-0 | League Two |
| Oct 8, 2016 | Wycombe(home) | 1-0 | League Two |
How many goals should we expect?
Reading U23 score 2.5 and concede 2.0 goals per match over their last 2; Yeovil Town score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reading U23 | 2.5 | 2.0 | 0 | 2/2 | 2/2 |
| Yeovil Town | 1.1 | 1.7 | 6 | 6/15 | 8/15 |
Over the last 2 matches in all competitions.
A question about Reading U23 vs Yeovil Town?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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