Smiltene vs RTU: result 2-4 and analysis
1. LigaRegular Season - 22Kick-off on September 30, 2017 at 12:00 PM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs RTU?
RTU won 2-4 on September 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 6 wins, 4 draws and 5 defeats; RTU have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Tukums(home) | 1-0 | 1. Liga |
| Sep 9, 2017 | Rēzekne FA(away) | 2-2 | 1. Liga |
| Sep 2, 2017 | JDFS Alberts(away) | 2-1 | 1. Liga |
| Aug 26, 2017 | BFC Daugavpils(away) | 0-3 | 1. Liga |
| Aug 19, 2017 | Auda(home) | 1-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Tukums(home) | 3-1 | 1. Liga |
| Sep 16, 2017 | JDFS Alberts(away) | 1-2 | 1. Liga |
| Sep 9, 2017 | Auda(home) | 2-3 | 1. Liga |
| Aug 26, 2017 | Preiļu BJSS(away) | 1-2 | 1. Liga |
| Aug 19, 2017 | Progress / AFA Olaine(away) | 1-4 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Smiltene wins, 1 draw, 0 RTU wins.
| Date | Score | Competition |
|---|---|---|
| Jun 10, 2017 | RTU 0-1 Smiltene | 1. Liga |
| Aug 20, 2016 | RTU 1-3 Smiltene | 1. Liga |
| Apr 23, 2016 | Smiltene 1-1 RTU | 1. Liga |
How many goals should we expect?
Smiltene score 1.4 and concede 1.9 goals per match over their last 15; RTU score 1.7 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 1.4 | 1.9 | 3 | 9/15 | 10/15 |
| RTU | 1.7 | 2.6 | 1 | 12/15 | 12/15 |
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 Smiltene vs RTU?
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