Tukums vs Ogre: result 1-1 and analysis
1. LigaRegular Season - 1Kick-off on April 15, 2017 at 12:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Ogre?
Tukums and Ogre drew 1-1 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 9 wins, 2 draws and 4 defeats; Ogre have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Valmiera / BSS(away) | 2-3 | 1. Liga |
| Oct 29, 2016 | Jēkabpils(away) | 10-0 | 1. Liga |
| Oct 22, 2016 | Staiceles Bebri(away) | 6-1 | 1. Liga |
| Oct 15, 2016 | JDFS Alberts(home) | 7-2 | 1. Liga |
| Oct 8, 2016 | Smiltene(home) | 0-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Rēzekne FA(away) | 1-3 | 1. Liga |
| Oct 29, 2016 | Saldus / Brocēnu(home) | 3-0 | 1. Liga |
| Oct 22, 2016 | Valmiera / BSS(away) | 0-5 | 1. Liga |
| Oct 16, 2016 | Jēkabpils(home) | 3-2 | 1. Liga |
| Oct 9, 2016 | Staiceles Bebri(away) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 3 Tukums wins, 1 draw, 2 Ogre wins.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Tukums 2-1 Ogre | 1. Liga |
| May 29, 2016 | Ogre 1-2 Tukums | 1. Liga |
| 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?
Tukums score 3.6 and concede 1.9 goals per match over their last 15; Ogre score 1.3 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 3.6 | 1.9 | 2 | 11/15 | 12/15 |
| Ogre | 1.3 | 2.8 | 2 | 10/15 | 14/15 |
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