Preiļu BJSS vs Auda: result 2-3 and analysis
1. LigaRegular Season - 10Kick-off on July 22, 2018 at 11:00 AM (UTC)Preiļu stadions, Preiļi
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What was the result of Preiļu BJSS vs Auda?
Auda won 2-3 on July 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Preiļu BJSS have 2 wins, 1 draw and 12 defeats; Auda have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2018 | Grobiņa(away) | 2-5 | 1. Liga |
| Jul 9, 2018 | Staiceles Bebri(home) | 0-1 | 1. Liga |
| Jun 10, 2018 | Super Nova(home) | 0-6 | 1. Liga |
| Jun 2, 2018 | Tukums(away) | 1-5 | 1. Liga |
| May 27, 2018 | Smiltene(home) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2018 | Balvu(home) | 7-2 | 1. Liga |
| Jun 10, 2018 | Staiceles Bebri(away) | 1-1 | 1. Liga |
| Jun 2, 2018 | Grobiņa(away) | 2-0 | 1. Liga |
| May 26, 2018 | Super Nova(home) | 0-4 | 1. Liga |
| May 19, 2018 | Tukums(home) | 1-3 | 1. Liga |
What does the head-to-head say?
Across the last 6 meetings: 0 Preiļu BJSS wins, 2 draws, 4 Auda wins.
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2017 | Preiļu BJSS 1-1 Auda | 1. Liga |
| Apr 15, 2017 | Auda 3-1 Preiļu BJSS | 1. Liga |
| Aug 14, 2016 | Preiļu BJSS 0-5 Auda | 1. Liga |
| Apr 16, 2016 | Auda 1-0 Preiļu BJSS | 1. Liga |
| Oct 31, 2015 | Auda 0-0 Preiļu BJSS | 1. Liga |
| Jul 18, 2015 | Preiļu BJSS 2-6 Auda | 1. Liga |
How many goals should we expect?
Preiļu BJSS score 1.1 and concede 3.3 goals per match over their last 15; Auda score 1.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Preiļu BJSS | 1.1 | 3.3 | 1 | 8/15 | 13/15 |
| Auda | 1.9 | 2.5 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
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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