Staiceles Bebri vs Auda: result 2-6 and analysis
1. LigaRegular Season - 7Kick-off on May 28, 2017 at 01:00 PM (UTC)Latvijas Futbola federācijas mācību un treniņu centrs Staicele, Staicele
Full time
What was the result of Staiceles Bebri vs Auda?
Auda won 2-6 on May 28, 2017.
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; Auda have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | Grobiņa(away) | 1-2 | 1. Liga |
| May 14, 2017 | Preiļu BJSS(home) | 1-0 | 1. Liga |
| May 6, 2017 | Progress / AFA Olaine(away) | 1-3 | 1. Liga |
| Apr 30, 2017 | Ogre(home) | 1-1 | 1. Liga |
| Apr 23, 2017 | Rēzekne FA(away) | 0-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | RTU(home) | 2-4 | 1. Liga |
| May 13, 2017 | Tukums(away) | 1-1 | 1. Liga |
| May 6, 2017 | JDFS Alberts(home) | 4-1 | 1. Liga |
| Apr 29, 2017 | Smiltene(home) | 2-1 | 1. Liga |
| Apr 22, 2017 | Grobiņa(home) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 4 meetings: 0 Staiceles Bebri win(s), 0 draw(s), 4 Auda win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Staiceles Bebri 2-4 Auda | 1. Liga |
| May 14, 2016 | Auda 2-1 Staiceles Bebri | 1. Liga |
| Sep 26, 2015 | Auda 2-0 Staiceles Bebri | 1. Liga |
| May 23, 2015 | Staiceles Bebri 1-4 Auda | 1. Liga |
Last archived meeting: Staiceles Bebri vs Auda on Sep 17, 2016
How many goals should we expect?
Staiceles Bebri score 1.6 and concede 2.5 goals per match over their last 15; Auda score 2.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Staiceles Bebri | 1.6 | 2.5 | 2 | 10/15 | 10/15 |
| Auda | 2.8 | 1.3 | 3 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy