SFK United vs Gulbene: result 0-1 and analysis
1. LigaRegular Season - 3Kick-off on April 20, 2014 at 11:00 AM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
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What was the result of SFK United vs Gulbene?
Gulbene won 0-1 on April 20, 2014.
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; Gulbene have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2014 | Valmiera / BSS(home) | 1-0 | 1. Liga |
| Apr 5, 2014 | Smiltene(home) | 0-0 | 1. Liga |
| Nov 10, 2013 | Metta II / Salaspils(away) | 0-3 | 1. Liga |
| Nov 3, 2013 | Ventspils II(home) | 1-8 | 1. Liga |
| Oct 26, 2013 | Gulbene(away) | 3-8 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2014 | Olaine / Super Nova(away) | 13-1 | 1. Liga |
| Mar 30, 2014 | Jēkabpils(home) | 6-0 | 1. Liga |
| Nov 10, 2013 | Jelgava II(home) | 4-0 | 1. Liga |
| Nov 3, 2013 | Rēzekne FA(away) | 3-6 | 1. Liga |
| Oct 26, 2013 | SFK United(home) | 8-3 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 SFK United wins, 0 draws, 2 Gulbene wins.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2013 | Gulbene 8-3 SFK United | 1. Liga |
| Jul 2, 2013 | SFK United 2-3 Gulbene | 1. Liga |
Last archived meeting: Gulbene vs SFK United on Oct 26, 2013
How many goals should we expect?
SFK United score 1.3 and concede 2.9 goals per match over their last 15; Gulbene score 3.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SFK United | 1.3 | 2.9 | 4 | 6/15 | 10/15 |
| Gulbene | 3.8 | 1.1 | 8 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about SFK United vs Gulbene?
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