Tukums vs Auda: result 1-0 and analysis
1. LigaRegular Season - 25Kick-off on October 26, 2019 at 11:00 AM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Auda?
Tukums won 1-0 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 12 wins, 2 draws and 1 defeat; 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 |
|---|---|---|---|
| Oct 19, 2019 | Super Nova(away) | 2-3 | 1. Liga |
| Oct 12, 2019 | Dinamo Rīga / Staicele(home) | 5-0 | 1. Liga |
| Oct 5, 2019 | Smiltene(away) | 4-1 | 1. Liga |
| Sep 29, 2019 | Rēzekne FA(home) | 5-0 | 1. Liga |
| Sep 21, 2019 | New Project(away) | 4-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | New Project(home) | 2-1 | 1. Liga |
| Oct 13, 2019 | Super Nova(away) | 0-5 | 1. Liga |
| Oct 5, 2019 | Balvu(home) | 8-0 | 1. Liga |
| Sep 28, 2019 | Dinamo Rīga / Staicele(away) | 4-2 | 1. Liga |
| Sep 22, 2019 | Grobiņa(home) | 3-1 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 5 Tukums wins, 1 draw, 0 Auda wins.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2019 | Auda 1-7 Tukums | 1. Liga |
| May 19, 2019 | Tukums 3-0 Auda | 1. Liga |
| Sep 8, 2018 | Tukums 3-2 Auda | 1. Liga |
| May 19, 2018 | Auda 1-3 Tukums | 1. Liga |
| Sep 2, 2017 | Auda 2-3 Tukums | 1. Liga |
| May 13, 2017 | Tukums 1-1 Auda | 1. Liga |
How many goals should we expect?
Tukums score 3.9 and concede 0.5 goals per match over their last 15; Auda score 2.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 3.9 | 0.5 | 10 | 5/15 | 11/15 |
| Auda | 2.6 | 1.9 | 3 | 11/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Auda?
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