Tukums vs Preiļu BJSS: result 5-1 and analysis
1. LigaRegular Season - 8Kick-off on May 14, 2016 at 01:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Preiļu BJSS?
Tukums won 5-1 on May 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 7 wins, 1 draw and 7 defeats; Preiļu BJSS have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | Auda(away) | 4-2 | 1. Liga |
| May 4, 2016 | Babīte(away) | 1-2 | 1. Liga |
| Apr 30, 2016 | RTU(away) | 1-2 | 1. Liga |
| Apr 16, 2016 | Skonto(home) | 0-6 | 1. Liga |
| Apr 9, 2016 | Rēzekne FA(home) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Smiltene(home) | 0-1 | 1. Liga |
| May 4, 2016 | Ogre(away) | 0-1 | 1. Liga |
| May 1, 2016 | Olaine / Super Nova(away) | 0-5 | 1. Liga |
| Apr 23, 2016 | JDFS Alberts(away) | 0-2 | 1. Liga |
| Apr 16, 2016 | Auda(away) | 0-1 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 3 Tukums wins, 0 draws, 1 Preiļu BJSS win.
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2015 | Tukums 2-1 Preiļu BJSS | 1. Liga |
| Jun 20, 2015 | Preiļu BJSS 0-2 Tukums | 1. Liga |
| Sep 20, 2014 | Tukums 5-2 Preiļu BJSS | 1. Liga |
| May 24, 2014 | Preiļu BJSS 3-0 Tukums | 1. Liga |
Last archived meeting: Tukums vs Preiļu BJSS on Oct 24, 2015
How many goals should we expect?
Tukums score 2.3 and concede 2.2 goals per match over their last 15; Preiļu BJSS score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 2.3 | 2.2 | 4 | 7/15 | 12/15 |
| Preiļu BJSS | 0.9 | 2.7 | 2 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Preiļu BJSS?
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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