Tukums vs Saldus / Brocēnu: result 6-2 and analysis
1. LigaRegular Season - 30Kick-off on November 7, 2015 at 12:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Saldus / Brocēnu?
Tukums won 6-2 on November 7, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 6 wins, 2 draws and 7 defeats; Saldus / Brocēnu have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | Rīgas FS(home) | 0-3 | 1. Liga |
| Oct 24, 2015 | Preiļu BJSS(home) | 2-1 | 1. Liga |
| Oct 17, 2015 | Olaine / Super Nova(home) | 7-2 | 1. Liga |
| Oct 10, 2015 | Auda(away) | 0-0 | 1. Liga |
| Oct 3, 2015 | Smiltene(home) | 0-6 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | JDFS Alberts(away) | 2-1 | 1. Liga |
| Oct 24, 2015 | Staiceles Bebri(home) | 0-2 | 1. Liga |
| Oct 17, 2015 | Rēzekne FA(away) | 0-3 | 1. Liga |
| Oct 10, 2015 | Salaspils(home) | 0-1 | 1. Liga |
| Oct 3, 2015 | Riga(away) | 0-3 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Tukums wins, 0 draws, 1 Saldus / Brocēnu win.
| Date | Score | Competition |
|---|---|---|
| Jul 25, 2015 | Saldus / Brocēnu 2-0 Tukums | 1. Liga |
| Sep 13, 2014 | Tukums 4-0 Saldus / Brocēnu | 1. Liga |
| May 17, 2014 | Saldus / Brocēnu 1-3 Tukums | 1. Liga |
Last archived meeting: Saldus / Brocēnu vs Tukums on Jul 25, 2015
How many goals should we expect?
Tukums score 1.5 and concede 1.9 goals per match over their last 15; Saldus / Brocēnu score 0.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 1.5 | 1.9 | 3 | 7/15 | 9/15 |
| Saldus / Brocēnu | 0.7 | 1.6 | 2 | 3/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Saldus / Brocēnu?
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