Tukums vs Grobiņa: result 9-0 and analysis
1. LigaRegular Season - 9Kick-off on June 1, 2019 at 12:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Grobiņa?
Tukums won 9-0 on June 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 9 wins, 0 draws and 6 defeats; Grobiņa 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 25, 2019 | JDFS Alberts(home) | 4-0 | 1. Liga |
| May 19, 2019 | Auda(home) | 3-0 | 1. Liga |
| May 11, 2019 | Super Nova(away) | 1-0 | 1. Liga |
| May 4, 2019 | Dinamo Rīga / Staicele(home) | 4-1 | 1. Liga |
| Apr 27, 2019 | Smiltene(away) | 5-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Super Nova(away) | 0-5 | 1. Liga |
| May 18, 2019 | Dinamo Rīga / Staicele(home) | 3-1 | 1. Liga |
| May 11, 2019 | Smiltene(away) | 2-6 | 1. Liga |
| May 4, 2019 | Rēzekne FA(away) | 0-5 | 1. Liga |
| Apr 27, 2019 | New Project(away) | 0-6 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 3 Tukums wins, 0 draws, 1 Grobiņa win.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2018 | Grobiņa 0-5 Tukums | 1. Liga |
| May 12, 2018 | Tukums 2-0 Grobiņa | 1. Liga |
| Aug 26, 2017 | Grobiņa 4-5 Tukums | 1. Liga |
| May 6, 2017 | Tukums 1-4 Grobiņa | 1. Liga |
How many goals should we expect?
Tukums score 2.8 and concede 1.5 goals per match over their last 15; Grobiņa score 2.2 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 2.8 | 1.5 | 5 | 8/15 | 14/15 |
| Grobiņa | 2.2 | 3.2 | 0 | 10/15 | 15/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Grobiņa?
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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