Jēkabpils vs Preiļu BJSS: result 3-2 and analysis
1. LigaRegular Season - 26Kick-off on October 11, 2014 at 01:00 PM (UTC)Jēkabpils SC stadions, Jēkabpils
Full time
What was the result of Jēkabpils vs Preiļu BJSS?
Jēkabpils won 3-2 on October 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jēkabpils have 5 wins, 5 draws and 5 defeats; Preiļu BJSS have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Saldus / Brocēnu(away) | 0-0 | 1. Liga |
| Sep 27, 2014 | Tukums(away) | 1-1 | 1. Liga |
| Sep 20, 2014 | Rēzekne FA(away) | 0-2 | 1. Liga |
| Sep 13, 2014 | Pļaviņas / DM(home) | 8-0 | 1. Liga |
| Sep 6, 2014 | Auda(away) | 0-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Smiltene(away) | 1-3 | 1. Liga |
| Sep 27, 2014 | Saldus / Brocēnu(home) | 0-2 | 1. Liga |
| Sep 20, 2014 | Tukums(away) | 2-5 | 1. Liga |
| Sep 13, 2014 | Rēzekne FA(home) | 1-5 | 1. Liga |
| Sep 6, 2014 | Pļaviņas / DM(away) | 13-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Jēkabpils win, 0 draws, 0 Preiļu BJSS wins.
| Date | Score | Competition |
|---|---|---|
| Jun 15, 2014 | Preiļu BJSS 0-1 Jēkabpils | 1. Liga |
Last archived meeting: Preiļu BJSS vs Jēkabpils on Jun 15, 2014
How many goals should we expect?
Jēkabpils score 1.7 and concede 1.7 goals per match over their last 15; Preiļu BJSS score 1.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jēkabpils | 1.7 | 1.7 | 4 | 8/15 | 9/15 |
| Preiļu BJSS | 1.9 | 2.7 | 3 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Jēkabpils vs Preiļu BJSS?
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