Auda vs Ogre: result 3-0 and analysis
1. LigaRegular Season - 5Kick-off on April 30, 2016 at 11:00 AM (UTC)Mežaparks Sports Village, Riga
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What was the result of Auda vs Ogre?
Auda won 3-0 on April 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Auda have 6 wins, 6 draws and 3 defeats; Ogre have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2016 | Olaine / Super Nova(away) | 2-1 | 1. Liga |
| Apr 16, 2016 | Preiļu BJSS(home) | 1-0 | 1. Liga |
| Apr 9, 2016 | JDFS Alberts(home) | 2-1 | 1. Liga |
| Apr 2, 2016 | Babīte(away) | 0-4 | 1. Liga |
| Nov 7, 2015 | Rīgas FS(away) | 0-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2016 | Babīte(away) | 1-3 | 1. Liga |
| Apr 17, 2016 | RTU(away) | 0-1 | 1. Liga |
| Apr 3, 2016 | Skonto(home) | 0-2 | 1. Liga |
| Nov 7, 2015 | Salaspils(home) | 5-1 | 1. Liga |
| Oct 31, 2015 | Riga(away) | 2-3 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 Auda wins, 2 draws, 0 Ogre wins.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2015 | Ogre 1-1 Auda | 1. Liga |
| May 1, 2015 | Auda 2-2 Ogre | 1. Liga |
| Oct 12, 2014 | Ogre 0-3 Auda | 1. Liga |
| Jun 14, 2014 | Auda 2-0 Ogre | 1. Liga |
How many goals should we expect?
Auda score 1.3 and concede 1.1 goals per match over their last 15; Ogre score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Auda | 1.3 | 1.1 | 5 | 8/15 | 7/15 |
| Ogre | 1.7 | 1.6 | 1 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Auda vs Ogre?
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