Extremenya vs UE Engordany: result 2-5 and analysis
2a DivisióPromotion Round - 4Kick-off on April 6, 2014 at 06:00 PM (UTC)Camp de Futbol d'Aixovall, Sant Julià de Lòria
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What was the result of Extremenya vs UE Engordany?
UE Engordany won 2-5 on April 6, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Extremenya have 7 wins, 1 draw and 7 defeats; UE Engordany have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2014 | Ranger's(home) | 3-5 | 2a Divisió |
| Mar 16, 2014 | Jenlai(away) | 0-4 | 2a Divisió |
| Mar 9, 2014 | UE Engordany(away) | 1-1 | 2a Divisió |
| Feb 23, 2014 | Principat II(away) | 3-0 | 2a Divisió |
| Feb 16, 2014 | Atlètic Club d'Escaldes(home) | 5-2 | 2a Divisió |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2014 | Jenlai(home) | 1-2 | 2a Divisió |
| Mar 16, 2014 | Ranger's(away) | 6-1 | 2a Divisió |
| Mar 9, 2014 | Extremenya(home) | 1-1 | 2a Divisió |
| Feb 22, 2014 | Casa Estrella de Benfica(home) | 5-1 | 2a Divisió |
| Feb 20, 2014 | Jenlai(away) | 6-2 | 2a Divisió |
What does the head-to-head say?
Across the last 2 meetings: 0 Extremenya wins, 1 draw, 1 UE Engordany win.
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2014 | UE Engordany 1-1 Extremenya | 2a Divisió |
| Oct 13, 2013 | Extremenya 1-3 UE Engordany | 2a Divisió |
Last archived meeting: UE Engordany vs Extremenya on Mar 9, 2014
How many goals should we expect?
Extremenya score 2.9 and concede 2.0 goals per match over their last 15; UE Engordany score 3.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Extremenya | 2.9 | 2.0 | 3 | 10/15 | 13/15 |
| UE Engordany | 3.6 | 1.1 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Extremenya vs UE Engordany?
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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