LDU Loja vs Imbabura: result 1-1 and analysis
Liga Pro Serie BRegular Season - 5Kick-off on April 2, 2016 at 01:00 AM (UTC)Estadio Federativo Reina del Cisne, Loja
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What was the result of LDU Loja vs Imbabura?
LDU Loja and Imbabura drew 1-1 on April 2, 2016.
Goalscorers
- 54′Leandro Javier Pantoja DiasImbabura
- 69′Patricio Javier Quiñónez PortillaLDU Loja
What is the recent form of both teams?
Over their last 15 matches in all competitions, LDU Loja have 2 wins, 4 draws and 9 defeats; Imbabura have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2016 | Manta FC(away) | 1-3 | Liga Pro Serie B |
| Mar 19, 2016 | Deportivo Colon(home) | 0-0 | Liga Pro Serie B |
| Mar 13, 2016 | Deportivo Espoli(away) | 1-1 | Liga Pro Serie B |
| Mar 5, 2016 | Clan Juvenil(home) | 3-2 | Liga Pro Serie B |
| Jul 12, 2015 | Barcelona SC(away) | 0-2 | Liga Pro |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2016 | LDU Portoviejo(home) | 0-0 | Liga Pro Serie B |
| Mar 19, 2016 | Deportivo Quito(away) | 2-1 | Liga Pro Serie B |
| Mar 12, 2016 | CD Olmedo(home) | 2-1 | Liga Pro Serie B |
| Mar 5, 2016 | Tecnico Universitario(away) | 1-2 | Liga Pro Serie B |
| Nov 28, 2015 | Tecnico Universitario(home) | 1-3 | Liga Pro Serie B |
How many goals should we expect?
LDU Loja score 0.8 and concede 1.9 goals per match over their last 15; Imbabura score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LDU Loja | 0.8 | 1.9 | 2 | 7/15 | 7/15 |
| Imbabura | 1.3 | 1.2 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Imbabura | 32 | 7 | 10 | 15 | 36 | 44 | 31 |
A question about LDU Loja vs Imbabura?
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