Smiltene vs Tukums: result 8-1 and analysis
1. LigaRegular Season - 11Kick-off on June 4, 2016 at 11:00 AM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Tukums?
Smiltene won 8-1 on June 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 4 wins, 2 draws and 9 defeats; Tukums have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | JDFS Alberts(away) | 2-0 | 1. Liga |
| May 22, 2016 | Ogre(away) | 0-2 | 1. Liga |
| May 14, 2016 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| May 8, 2016 | Preiļu BJSS(away) | 1-0 | 1. Liga |
| May 4, 2016 | Auda(away) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Ogre(away) | 2-1 | 1. Liga |
| May 22, 2016 | Olaine / Super Nova(away) | 0-2 | 1. Liga |
| May 14, 2016 | Preiļu BJSS(home) | 5-1 | 1. Liga |
| May 7, 2016 | Auda(away) | 4-2 | 1. Liga |
| May 4, 2016 | Babīte(away) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 1 Smiltene win(s), 0 draw(s), 3 Tukums win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2015 | Tukums 0-6 Smiltene | 1. Liga |
| May 30, 2015 | Smiltene 3-8 Tukums | 1. Liga |
| Sep 6, 2014 | Smiltene 0-5 Tukums | 1. Liga |
| May 10, 2014 | Tukums 4-2 Smiltene | 1. Liga |
How many goals should we expect?
Smiltene score 1.3 and concede 2.7 goals per match over their last 15; Tukums score 2.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 1.3 | 2.7 | 4 | 6/15 | 9/15 |
| Tukums | 2.5 | 2.3 | 2 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Smiltene | 10 | 0 | 4 | 6 | 9 | 27 | 4 |
| 13 | Smiltene | 17 | 2 | 4 | 11 | 21 | 47 | 10 |
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