Extremenya vs UE Sant Julià II: prediction and stats
2a DivisióRegular Season - 12Kick-off on February 7, 2015 at 12:00 AM (UTC)Camp de Futbol d'Aixovall, Sant Julià de Lòria
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Extremenya have 4 wins, 5 draws and 6 defeats; UE Sant Julià II have 5, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2014 | Ranger's(away) | 0-5 | 2a Divisió |
| Nov 30, 2014 | La Massana(home) | 1-1 | 2a Divisió |
| Nov 16, 2014 | Penya Encarnada(home) | 0-2 | 2a Divisió |
| Nov 9, 2014 | Lusitanos II(away) | 1-1 | 2a Divisió |
| Oct 26, 2014 | Jenlai(home) | 3-1 | 2a Divisió |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2014 | Encamp II(away) | 0-3 | 2a Divisió |
| Feb 16, 2014 | Principat II(home) | 4-0 | 2a Divisió |
| Feb 8, 2014 | Atlètic Club d'Escaldes(away) | 2-0 | 2a Divisió |
| Dec 14, 2013 | Extremenya(home) | 0-6 | 2a Divisió |
| Nov 24, 2013 | Penya Encarnada(away) | 1-0 | 2a Divisió |
What does the head-to-head say?
In the last meeting: 1 Extremenya win, 0 draws, 0 UE Sant Julià II wins.
| Date | Score | Competition |
|---|---|---|
| Dec 14, 2013 | UE Sant Julià II 0-6 Extremenya | 2a Divisió |
Last archived meeting: UE Sant Julià II vs Extremenya on Dec 14, 2013
How many goals should we expect?
Extremenya score 1.5 and concede 2.1 goals per match over their last 15; UE Sant Julià II score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Extremenya | 1.5 | 2.1 | 2 | 9/15 | 8/15 |
| UE Sant Julià II | 1.1 | 2.5 | 4 | 4/14 | 11/14 |
Over the last 15 matches in all competitions.
A question about Extremenya vs UE Sant Julià II?
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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