Jelgava II vs Rīgas FS: result 1-8 and analysis
1. LigaRegular Season - 26Kick-off on November 11, 2012 at 12:00 PM (UTC)
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What was the result of Jelgava II vs Rīgas FS?
Rīgas FS won 1-8 on November 11, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jelgava II have 2 wins, 0 draws and 13 defeats; Rīgas FS 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 |
|---|---|---|---|
| Nov 3, 2012 | Rēzekne FA(away) | 0-7 | 1. Liga |
| Oct 28, 2012 | Auda(home) | 1-3 | 1. Liga |
| Oct 20, 2012 | BFC Daugavpils(away) | 1-3 | 1. Liga |
| Oct 13, 2012 | 1625 Liepāja(home) | 1-5 | 1. Liga |
| Oct 7, 2012 | Tukums(away) | 1-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2012 | Metta II / Salaspils(home) | 1-0 | 1. Liga |
| Oct 27, 2012 | Rēzekne FA(home) | 6-2 | 1. Liga |
| Oct 20, 2012 | Auda(away) | 2-1 | 1. Liga |
| Oct 13, 2012 | BFC Daugavpils(home) | 2-0 | 1. Liga |
| Oct 7, 2012 | 1625 Liepāja(away) | 4-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Jelgava II wins, 0 draws, 1 Rīgas FS win.
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2012 | Rīgas FS 2-1 Jelgava II | 1. Liga |
Last archived meeting: Rīgas FS vs Jelgava II on Aug 12, 2012
How many goals should we expect?
Jelgava II score 1.0 and concede 3.4 goals per match over their last 15; Rīgas FS score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jelgava II | 1.0 | 3.4 | 1 | 10/15 | 13/15 |
| Rīgas FS | 2.2 | 1.3 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Jelgava II vs Rīgas FS?
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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