RTU vs Smiltene: result 0-1 and analysis
1. LigaRegular Season - 9Kick-off on June 10, 2017 at 02:00 PM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
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What was the result of RTU vs Smiltene?
Smiltene won 0-1 on June 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RTU have 7 wins, 0 draws and 8 defeats; Smiltene have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Tukums(away) | 1-3 | 1. Liga |
| May 27, 2017 | JDFS Alberts(home) | 3-1 | 1. Liga |
| May 20, 2017 | Auda(away) | 4-2 | 1. Liga |
| May 13, 2017 | Grobiņa(home) | 0-2 | 1. Liga |
| May 6, 2017 | Preiļu BJSS(home) | 6-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Ogre(home) | 3-1 | 1. Liga |
| May 27, 2017 | Tukums(away) | 0-4 | 1. Liga |
| May 21, 2017 | Rēzekne FA(home) | 4-2 | 1. Liga |
| May 14, 2017 | JDFS Alberts(home) | 1-1 | 1. Liga |
| May 7, 2017 | BFC Daugavpils(home) | 1-0 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 RTU wins, 1 draw, 1 Smiltene win.
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2016 | RTU 1-3 Smiltene | 1. Liga |
| Apr 23, 2016 | Smiltene 1-1 RTU | 1. Liga |
How many goals should we expect?
RTU score 2.2 and concede 2.1 goals per match over their last 15; Smiltene score 2.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RTU | 2.2 | 2.1 | 3 | 9/15 | 12/15 |
| Smiltene | 2.7 | 1.4 | 5 | 8/15 | 9/15 |
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 RTU vs Smiltene?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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