Morecambe vs Stoke City U23: result 3-1 and analysis
EFL TrophyGroup Stage - 7Kick-off on October 4, 2016 at 06:45 PM (UTC)Mazuma Stadium, Morecambe, Lancashire
Full time
What was the result of Morecambe vs Stoke City U23?
Morecambe won 3-1 on October 4, 2016.
Goalscorers
- 3′J. DunnMorecambe
- 21′C. StocktonMorecambe
- 44′Peter MurphyMorecambe
- 48′Charles Graham AdamStoke City U23
Official lineup for Morecambe vs Stoke City U23
The starting elevens fielded at kick-off.
Morecambe
- 20J. Dunn
- 23C. Stockton
- 4A. Kenyon
- 15A. Wildig
- 3A. McGowan
- 5R. Edwards
- 6Dean Winnard
- 8Peter Murphy
- 10Lee Robert Molyneux
- 16A. Whitmore
- 12D. Nižić
Stoke City U23
- 18M. Diouf
- 45J. Ngoy
- 16Charles Graham Adam
- 34O. Shenton
- 59Sergio Molina
- 2Phil Bardsley
- 5Muniesa
- 42J. Taylor
- 52L. Edwards
- 63J. Renee-Pringle
- 29J. Haugaard
What is the recent form of both teams?
Over their last 15 matches in all competitions, Morecambe have 6 wins, 3 draws and 6 defeats; Stoke City 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 |
|---|---|---|---|
| Sep 27, 2016 | Barnet(away) | 2-2 | League Two |
| Sep 24, 2016 | Crawley Town(home) | 2-3 | League Two |
| Sep 17, 2016 | Cambridge United(away) | 2-1 | League Two |
| Sep 10, 2016 | Doncaster(home) | 1-5 | League Two |
| Sep 3, 2016 | Leyton Orient(home) | 1-2 | League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2016 | Bradford(away) | 0-1 | EFL Trophy |
How many goals should we expect?
Morecambe score 1.7 and concede 2.0 goals per match over their last 15; Stoke City U23 score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Morecambe | 1.7 | 2.0 | 2 | 12/15 | 10/15 |
| Stoke City U23 | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Morecambe vs Stoke City 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