Staiceles Bebri vs Jēkabpils: result 3-2 and analysis
1. LigaMatchday 15Kick-off on July 23, 2016 at 02:00 PM (UTC)Latvijas Futbola federācijas mācību un treniņu centrs Staicele, Staicele
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What was the result of Staiceles Bebri vs Jēkabpils?
Staiceles Bebri won 3-2 on July 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Staiceles Bebri have 4 wins, 1 draw and 10 defeats; Jēkabpils have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | JDFS Alberts(away) | 1-1 | 1. Liga |
| Jun 18, 2016 | Tukums(away) | 2-7 | 1. Liga |
| Jun 11, 2016 | Smiltene(home) | 0-3 | 1. Liga |
| Jun 5, 2016 | Ogre(away) | 0-1 | 1. Liga |
| May 29, 2016 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | Tukums(away) | 1-10 | 1. Liga |
| Jun 19, 2016 | Smiltene(home) | 3-4 | 1. Liga |
| Jun 11, 2016 | Ogre(home) | 3-3 | 1. Liga |
| Jun 5, 2016 | Olaine / Super Nova(away) | 0-3 | 1. Liga |
| May 29, 2016 | Preiļu BJSS(home) | 0-2 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Staiceles Bebri win, 1 draw, 0 Jēkabpils wins.
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2015 | Jēkabpils 2-4 Staiceles Bebri | 1. Liga |
| Jul 25, 2015 | Staiceles Bebri 2-2 Jēkabpils | 1. Liga |
Last archived meeting: Jēkabpils vs Staiceles Bebri on Nov 7, 2015
How many goals should we expect?
Staiceles Bebri score 1.5 and concede 2.7 goals per match over their last 15; Jēkabpils score 1.5 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Staiceles Bebri | 1.5 | 2.7 | 2 | 9/15 | 10/15 |
| Jēkabpils | 1.5 | 3.4 | 2 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Staiceles Bebri vs Jēkabpils?
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