Rīgas FS vs Smiltene: result 3-2 and analysis
1. LigaRegular Season - 3Kick-off on April 18, 2015 at 01:00 PM (UTC)LNK Sporta Parks (dabīgais), Rīga (Riga)
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What was the result of Rīgas FS vs Smiltene?
Rīgas FS won 3-2 on April 18, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rīgas FS have 8 wins, 3 draws and 4 defeats; Smiltene have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2015 | Preiļu BJSS(home) | 8-0 | 1. Liga |
| Apr 4, 2015 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| Nov 8, 2014 | Tukums(away) | 0-2 | 1. Liga |
| Nov 1, 2014 | Rēzekne FA(away) | 1-1 | 1. Liga |
| Oct 25, 2014 | Pļaviņas / DM(home) | 20-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2015 | Salaspils(home) | 1-1 | 1. Liga |
| Apr 4, 2015 | Preiļu BJSS(home) | 2-2 | 1. Liga |
| Nov 8, 2014 | Auda(home) | 2-3 | 1. Liga |
| Nov 1, 2014 | Olaine / Super Nova(home) | 2-2 | 1. Liga |
| Oct 25, 2014 | Salaspils(home) | 1-1 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Rīgas FS win, 1 draw, 0 Smiltene wins.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2014 | Smiltene 2-2 Rīgas FS | 1. Liga |
| May 31, 2014 | Rīgas FS 6-0 Smiltene | 1. Liga |
How many goals should we expect?
Rīgas FS score 3.6 and concede 1.3 goals per match over their last 15; Smiltene score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rīgas FS | 3.6 | 1.3 | 4 | 8/15 | 10/15 |
| Smiltene | 1.5 | 2.2 | 0 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Smiltene | 22 | 5 | 4 | 13 | 32 | 59 | 19 |
A question about Rīgas FS vs Smiltene?
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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