SFK United vs Tukums: result 2-4 and analysis
1. LigaRegular Season - 25Kick-off on October 5, 2013 at 12:00 PM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
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What was the result of SFK United vs Tukums?
Tukums won 2-4 on October 5, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SFK United have 4 wins, 1 draw and 10 defeats; Tukums have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2013 | Auda(home) | 1-0 | 1. Liga |
| Sep 21, 2013 | BFC Daugavpils(away) | 0-8 | 1. Liga |
| Sep 14, 2013 | Jēkabpils(home) | 1-2 | 1. Liga |
| Sep 7, 2013 | Valmiera / BSS(away) | 0-1 | 1. Liga |
| Aug 31, 2013 | Rīgas FS(home) | 2-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Liepājas Metalurgs II(home) | 5-0 | 1. Liga |
| Sep 20, 2013 | Auda(home) | 7-3 | 1. Liga |
| Sep 13, 2013 | Skonto II(home) | 5-2 | 1. Liga |
| Aug 30, 2013 | Metta II / Salaspils(home) | 2-1 | 1. Liga |
| Aug 25, 2013 | Jēkabpils(away) | 4-2 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 SFK United win, 0 draws, 0 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| Jun 9, 2013 | Tukums 3-4 SFK United | 1. Liga |
How many goals should we expect?
SFK United score 1.6 and concede 3.1 goals per match over their last 15; Tukums score 3.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SFK United | 1.6 | 3.1 | 1 | 9/15 | 13/15 |
| Tukums | 3.1 | 2.1 | 2 | 13/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about SFK United 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