Smiltene vs Tukums: result 3-8 and analysis
1. LigaRegular Season - 10Kick-off on May 30, 2015 at 12:00 PM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Tukums?
Tukums won 3-8 on May 30, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 4 wins, 5 draws and 6 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 24, 2015 | Jēkabpils(away) | 2-6 | 1. Liga |
| May 16, 2015 | JDFS Alberts(home) | 1-3 | 1. Liga |
| May 9, 2015 | 1625 Liepāja(away) | 2-7 | 1. Liga |
| May 4, 2015 | Staiceles Bebri(away) | 1-0 | 1. Liga |
| May 1, 2015 | Saldus / Brocēnu(home) | 2-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | JDFS Alberts(away) | 0-2 | 1. Liga |
| May 16, 2015 | Staiceles Bebri(away) | 4-0 | 1. Liga |
| May 10, 2015 | Rēzekne FA(away) | 2-4 | 1. Liga |
| May 4, 2015 | Salaspils(home) | 3-1 | 1. Liga |
| May 1, 2015 | Riga(away) | 0-11 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Smiltene wins, 0 draws, 2 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| 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 2.0 and concede 2.5 goals per match over their last 15; Tukums score 2.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 2.0 | 2.5 | 1 | 14/15 | 12/15 |
| Tukums | 2.7 | 2.1 | 6 | 6/15 | 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 Tukums?
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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