Tukums vs Ogre: result 0-2 and analysis
1. LigaRegular Season - 19Kick-off on August 22, 2015 at 01:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Ogre?
Ogre won 0-2 on August 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 6 wins, 2 draws and 7 defeats; Ogre have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Valmiera / BSS(home) | 1-1 | 1. Liga |
| Aug 8, 2015 | Jēkabpils(away) | 4-1 | 1. Liga |
| Aug 1, 2015 | 1625 Liepāja(home) | 1-3 | 1. Liga |
| Jul 25, 2015 | Saldus / Brocēnu(away) | 0-2 | 1. Liga |
| Jun 27, 2015 | Rīgas FS(away) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2015 | JDFS Alberts(home) | 2-0 | 1. Liga |
| Aug 9, 2015 | Staiceles Bebri(home) | 2-0 | 1. Liga |
| Aug 2, 2015 | Rēzekne FA(away) | 2-3 | 1. Liga |
| Jul 25, 2015 | Salaspils(away) | 0-1 | 1. Liga |
| Jun 28, 2015 | Riga(home) | 1-8 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Tukums win, 1 draw, 1 Ogre win.
| Date | Score | Competition |
|---|---|---|
| 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?
Tukums score 2.3 and concede 2.7 goals per match over their last 15; Ogre score 1.7 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 2.3 | 2.7 | 3 | 9/15 | 11/15 |
| Ogre | 1.7 | 3.1 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Tukums 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