Super Nova vs Tukums: result 0-1 and analysis
1. LigaRegular Season - 6Kick-off on May 11, 2019 at 03:00 PM (UTC)Slokas Stadiona
Full time
What was the result of Super Nova vs Tukums?
Tukums won 0-1 on May 11, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Super Nova have 14 wins, 0 draws and 1 defeat; Tukums have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Auda(home) | 1-0 | 1. Liga |
| Apr 27, 2019 | Dinamo Rīga / Staicele(away) | 5-0 | 1. Liga |
| Apr 20, 2019 | Smiltene(home) | 3-0 | 1. Liga |
| Apr 13, 2019 | Rēzekne FA(home) | 1-0 | 1. Liga |
| Apr 6, 2019 | New Project(home) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Dinamo Rīga / Staicele(home) | 4-1 | 1. Liga |
| Apr 27, 2019 | Smiltene(away) | 5-2 | 1. Liga |
| Apr 20, 2019 | Rēzekne FA(home) | 5-0 | 1. Liga |
| Apr 13, 2019 | New Project(away) | 2-1 | 1. Liga |
| Apr 6, 2019 | Balvu(home) | 11-0 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 3 Super Nova wins, 0 draws, 0 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2018 | Super Nova 3-0 Tukums | 1. Liga |
| Aug 18, 2018 | Tukums 0-1 Super Nova | 1. Liga |
| May 5, 2018 | Super Nova 1-0 Tukums | 1. Liga |
How many goals should we expect?
Super Nova score 3.9 and concede 0.8 goals per match over their last 15; Tukums score 3.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Super Nova | 3.9 | 0.8 | 10 | 4/15 | 12/15 |
| Tukums | 3.0 | 1.6 | 4 | 9/15 | 15/15 |
Over the last 15 matches in all competitions.
A question about Super Nova vs Tukums?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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