SFK United vs Jēkabpils: result 1-2 and analysis
1. LigaRegular Season - 22Kick-off on September 14, 2013 at 12:00 PM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
Full time
What was the result of SFK United vs Jēkabpils?
Jēkabpils won 1-2 on September 14, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SFK United have 3 wins, 1 draw and 11 defeats; Jēkabpils have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2013 | Valmiera / BSS(away) | 0-1 | 1. Liga |
| Aug 31, 2013 | Rīgas FS(home) | 2-3 | 1. Liga |
| Aug 25, 2013 | 1625 Liepāja(away) | 0-5 | 1. Liga |
| Aug 17, 2013 | FK Jūrmala II(home) | 5-1 | 1. Liga |
| Aug 11, 2013 | Liepājas Metalurgs II(away) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2013 | Auda(home) | 3-0 | 1. Liga |
| Aug 31, 2013 | BFC Daugavpils(away) | 1-9 | 1. Liga |
| Aug 25, 2013 | Tukums(home) | 2-4 | 1. Liga |
| Aug 17, 2013 | Valmiera / BSS(home) | 0-6 | 1. Liga |
| Aug 10, 2013 | Rīgas FS(home) | 3-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 SFK United wins, 0 draws, 1 Jēkabpils win.
| Date | Score | Competition |
|---|---|---|
| May 19, 2013 | Jēkabpils 2-1 SFK United | 1. Liga |
Last archived meeting: Jēkabpils vs SFK United on May 19, 2013
How many goals should we expect?
SFK United score 1.5 and concede 3.1 goals per match over their last 15; Jēkabpils score 1.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SFK United | 1.5 | 3.1 | 0 | 9/15 | 14/15 |
| Jēkabpils | 1.6 | 2.5 | 3 | 6/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about SFK United vs Jēkabpils?
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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