Staiceles Bebri vs Tukums: result 1-6 and analysis
1. LigaRegular Season - 28Kick-off on October 22, 2016 at 11:00 AM (UTC)Latvijas Futbola federācijas mācību un treniņu centrs Staicele, Staicele
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What was the result of Staiceles Bebri vs Tukums?
Tukums won 1-6 on October 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Staiceles Bebri have 6 wins, 2 draws and 7 defeats; Tukums have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Smiltene(away) | 1-1 | 1. Liga |
| Oct 9, 2016 | Ogre(home) | 2-1 | 1. Liga |
| Oct 2, 2016 | Olaine / Super Nova(away) | 2-1 | 1. Liga |
| Sep 25, 2016 | Preiļu BJSS(home) | 4-2 | 1. Liga |
| Sep 17, 2016 | Auda(home) | 2-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | JDFS Alberts(home) | 7-2 | 1. Liga |
| Oct 8, 2016 | Smiltene(home) | 0-2 | 1. Liga |
| Oct 1, 2016 | Ogre(home) | 2-1 | 1. Liga |
| Sep 24, 2016 | Olaine / Super Nova(home) | 2-2 | 1. Liga |
| Sep 18, 2016 | Preiļu BJSS(away) | 6-1 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Staiceles Bebri wins, 0 draws, 3 Tukums wins.
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2016 | Tukums 7-2 Staiceles Bebri | 1. Liga |
| Sep 19, 2015 | Tukums 1-0 Staiceles Bebri | 1. Liga |
| May 16, 2015 | Staiceles Bebri 0-4 Tukums | 1. Liga |
Last archived meeting: Tukums vs Staiceles Bebri on Jun 18, 2016
How many goals should we expect?
Staiceles Bebri score 1.8 and concede 2.8 goals per match over their last 15; Tukums score 3.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Staiceles Bebri | 1.8 | 2.8 | 0 | 10/15 | 11/15 |
| Tukums | 3.9 | 1.8 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Staiceles Bebri vs Tukums?
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