Preiļu BJSS vs Auda: result 2-1 and analysis
1. LigaRegular Season - 20Kick-off on August 30, 2014 at 01:00 PM (UTC)Preiļu stadions, Preiļi
Full time
What was the result of Preiļu BJSS vs Auda?
Preiļu BJSS won 2-1 on August 30, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Preiļu BJSS have 5 wins, 1 draw and 9 defeats; Auda have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2014 | Salaspils(home) | 6-0 | 1. Liga |
| Aug 16, 2014 | 1625 Liepāja(home) | 0-3 | 1. Liga |
| Aug 9, 2014 | Rīgas FS(home) | 2-4 | 1. Liga |
| Aug 3, 2014 | Ogre(home) | 0-2 | 1. Liga |
| Jul 27, 2014 | Gulbene(home) | 0-10 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2014 | Saldus / Brocēnu(home) | 6-2 | 1. Liga |
| Aug 16, 2014 | Tukums(away) | 4-1 | 1. Liga |
| Aug 9, 2014 | Rēzekne FA(home) | 1-2 | 1. Liga |
| Aug 2, 2014 | Pļaviņas / DM(away) | 3-0 | 1. Liga |
| Jul 26, 2014 | Smiltene(home) | 1-3 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Preiļu BJSS wins, 0 draws, 1 Auda win.
| Date | Score | Competition |
|---|---|---|
| May 5, 2014 | Auda 5-1 Preiļu BJSS | 1. Liga |
How many goals should we expect?
Preiļu BJSS score 2.0 and concede 2.8 goals per match over their last 15; Auda score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Preiļu BJSS | 2.0 | 2.8 | 4 | 6/15 | 12/15 |
| Auda | 2.5 | 1.3 | 4 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Preiļu BJSS vs Auda?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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