Grobiņa vs Tukums: result 0-3 and analysis
1. LigaRegular Season - 13Kick-off on October 9, 2021 at 12:00 PM (UTC)Grobiņas stadionā, Grobiņa
Full time
What was the result of Grobiņa vs Tukums?
Tukums won 0-3 on October 9, 2021.
Goalscorers
- 40′?Tukums
- 67′?Tukums
- 74′R. KorzānsTukums (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grobiņa have 5 wins, 4 draws and 6 defeats; Tukums have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Smiltene(away) | 2-2 | 1. Liga |
| Sep 29, 2021 | Auda(home) | 1-5 | 1. Liga |
| Sep 25, 2021 | Albatroz(away) | 1-1 | 1. Liga |
| Sep 19, 2021 | JDFS Alberts(away) | 1-1 | 1. Liga |
| Sep 11, 2021 | Saldus SS/Leevon(away) | 2-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | JDFS Alberts(away) | 1-0 | 1. Liga |
| Sep 25, 2021 | Saldus SS/Leevon(home) | 0-0 | 1. Liga |
| Sep 18, 2021 | Auda(away) | 1-1 | 1. Liga |
| Sep 12, 2021 | Super Nova(away) | 2-2 | 1. Liga |
| Sep 4, 2021 | Dinamo Rīga(home) | 0-2 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 0 Grobiņa win(s), 0 draw(s), 6 Tukums win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2021 | Tukums 6-0 Grobiņa | 1. Liga |
| Nov 10, 2019 | Grobiņa 3-8 Tukums | 1. Liga |
| Sep 7, 2019 | Grobiņa 0-1 Tukums | 1. Liga |
| Jun 1, 2019 | Tukums 9-0 Grobiņa | 1. Liga |
| Aug 25, 2018 | Grobiņa 0-5 Tukums | 1. Liga |
| May 12, 2018 | Tukums 2-0 Grobiņa | 1. Liga |
How many goals should we expect?
Grobiņa score 1.3 and concede 1.8 goals per match over their last 15; Tukums score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grobiņa | 1.3 | 1.8 | 3 | 10/15 | 9/15 |
| Tukums | 1.7 | 0.9 | 8 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy