Ogre vs Tukums: result 1-2 and analysis
1. LigaRegular Season - 10Kick-off on May 29, 2016 at 01:00 PM (UTC)Ogres stadions, Ogre
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What was the result of Ogre vs Tukums?
Tukums won 1-2 on May 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ogre have 5 wins, 1 draw and 9 defeats; Tukums have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Smiltene(home) | 2-0 | 1. Liga |
| May 14, 2016 | JDFS Alberts(away) | 1-3 | 1. Liga |
| May 8, 2016 | Olaine / Super Nova(away) | 0-6 | 1. Liga |
| May 4, 2016 | Preiļu BJSS(home) | 1-0 | 1. Liga |
| Apr 30, 2016 | Auda(away) | 0-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Olaine / Super Nova(away) | 0-2 | 1. Liga |
| May 14, 2016 | Preiļu BJSS(home) | 5-1 | 1. Liga |
| May 7, 2016 | Auda(away) | 4-2 | 1. Liga |
| May 4, 2016 | Babīte(away) | 1-2 | 1. Liga |
| Apr 30, 2016 | RTU(away) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 Ogre wins, 1 draw, 1 Tukums win.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2015 | Tukums 0-2 Ogre | 1. Liga |
| Apr 25, 2015 | Ogre 3-3 Tukums | 1. Liga |
| Nov 1, 2014 | Tukums 7-0 Ogre | 1. Liga |
| May 1, 2014 | Ogre 5-0 Tukums | 1. Liga |
How many goals should we expect?
Ogre score 1.3 and concede 1.9 goals per match over their last 15; Tukums score 2.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ogre | 1.3 | 1.9 | 2 | 7/15 | 9/15 |
| Tukums | 2.5 | 2.2 | 3 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Ogre vs Tukums?
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