Tukums vs Auda: result 1-4 and analysis
1. LigaRegular Season - 18Kick-off on August 16, 2014 at 02:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Auda?
Auda won 1-4 on August 16, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 6 wins, 4 draws and 5 defeats; Auda have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2014 | Salaspils(away) | 4-2 | 1. Liga |
| Aug 2, 2014 | 1625 Liepāja(home) | 1-1 | 1. Liga |
| Jul 26, 2014 | Rīgas FS(away) | 4-3 | 1. Liga |
| Jun 28, 2014 | Gulbene(home) | 1-1 | 1. Liga |
| Jun 21, 2014 | Valmiera / BSS(away) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2014 | Rēzekne FA(home) | 1-2 | 1. Liga |
| Aug 2, 2014 | Pļaviņas / DM(away) | 3-0 | 1. Liga |
| Jul 26, 2014 | Smiltene(home) | 1-3 | 1. Liga |
| Jun 28, 2014 | 1625 Liepāja(home) | 0-2 | 1. Liga |
| Jun 21, 2014 | Rīgas FS(away) | 4-1 | 1. Liga |
What does the head-to-head say?
Across the last 5 meetings: 3 Tukums wins, 0 draws, 2 Auda wins.
| Date | Score | Competition |
|---|---|---|
| Apr 19, 2014 | Auda 3-1 Tukums | 1. Liga |
| Sep 20, 2013 | Tukums 7-3 Auda | 1. Liga |
| May 24, 2013 | Auda 1-2 Tukums | 1. Liga |
| Sep 15, 2012 | Auda 1-2 Tukums | 1. Liga |
| May 26, 2012 | Tukums 1-3 Auda | 1. Liga |
How many goals should we expect?
Tukums score 2.3 and concede 2.3 goals per match over their last 15; Auda score 2.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 2.3 | 2.3 | 0 | 13/15 | 11/15 |
| Auda | 2.3 | 1.2 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Auda?
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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