Rīgas FS vs 1625 Liepāja: result 1-1 and analysis
1. LigaRegular Season - 29Kick-off on November 3, 2013 at 12:00 PM (UTC)LNK Sporta Parks (dabīgais), Rīga (Riga)
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What was the result of Rīgas FS vs 1625 Liepāja?
Rīgas FS and 1625 Liepāja drew 1-1 on November 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rīgas FS have 8 wins, 2 draws and 5 defeats; 1625 Liepāja have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2013 | FK Jūrmala II(away) | 6-0 | 1. Liga |
| Oct 19, 2013 | Liepājas Metalurgs II(home) | 3-2 | 1. Liga |
| Oct 13, 2013 | Skonto II(away) | 1-2 | 1. Liga |
| Oct 4, 2013 | Metta II / Salaspils(home) | 0-0 | 1. Liga |
| Sep 29, 2013 | Ventspils II(away) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2013 | Tukums(away) | 3-0 | 1. Liga |
| Oct 19, 2013 | FK Jūrmala II(home) | 6-1 | 1. Liga |
| Oct 13, 2013 | Liepājas Metalurgs II(away) | 0-1 | 1. Liga |
| Oct 5, 2013 | Skonto II(home) | 4-1 | 1. Liga |
| Sep 28, 2013 | Metta II / Salaspils(away) | 2-2 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Rīgas FS win(s), 0 draw(s), 1 1625 Liepāja win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 14, 2013 | 1625 Liepāja 2-0 Rīgas FS | 1. Liga |
| Oct 7, 2012 | 1625 Liepāja 0-4 Rīgas FS | 1. Liga |
| Jun 16, 2012 | Rīgas FS 2-0 1625 Liepāja | 1. Liga |
Last archived meeting: 1625 Liepāja vs Rīgas FS on Jul 14, 2013
How many goals should we expect?
Rīgas FS score 2.2 and concede 1.5 goals per match over their last 15; 1625 Liepāja score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rīgas FS | 2.2 | 1.5 | 5 | 8/15 | 12/15 |
| 1625 Liepāja | 2.3 | 0.7 | 7 | 6/15 | 10/15 |
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