Dinamo Rīga / Staicele vs Tukums: result 0-0 and analysis
1. LigaRegular Season - 14Kick-off on August 3, 2019 at 03:30 PM (UTC)RTU stadions, Riga
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What was the result of Dinamo Rīga / Staicele vs Tukums?
Dinamo Rīga / Staicele and Tukums drew 0-0 on August 3, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Dinamo Rīga / Staicele have 1 win, 0 draws and 12 defeats; Tukums have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | Super Nova(home) | 0-3 | 1. Liga |
| Jul 20, 2019 | Auda(away) | 0-7 | 1. Liga |
| Jul 6, 2019 | Smiltene(home) | 0-4 | 1. Liga |
| Jun 8, 2019 | Rēzekne FA(away) | 1-3 | 1. Liga |
| Jun 1, 2019 | New Project(away) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | Smiltene(home) | 5-0 | 1. Liga |
| Jul 20, 2019 | Rēzekne FA(away) | 1-1 | 1. Liga |
| Jul 6, 2019 | New Project(home) | 1-0 | 1. Liga |
| Jun 8, 2019 | Balvu(away) | 5-0 | 1. Liga |
| Jun 1, 2019 | Grobiņa(home) | 9-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Dinamo Rīga / Staicele wins, 0 draws, 1 Tukums win.
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Tukums 4-1 Dinamo Rīga / Staicele | 1. Liga |
Last archived meeting: Tukums vs Dinamo Rīga / Staicele on May 4, 2019
How many goals should we expect?
Dinamo Rīga / Staicele score 0.7 and concede 3.2 goals per match over their last 13; Tukums score 4.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Rīga / Staicele | 0.7 | 3.2 | 1 | 5/13 | 12/13 |
| Tukums | 4.0 | 0.5 | 9 | 6/15 | 12/15 |
Over the last 13 matches in all competitions.
A question about Dinamo Rīga / Staicele vs Tukums?
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