Smiltene vs Preiļu BJSS: result 3-1 and analysis
1. LigaRegular Season - 25Kick-off on October 4, 2014 at 11:00 AM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Preiļu BJSS?
Smiltene won 3-1 on October 4, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 2 wins, 5 draws and 8 defeats; Preiļu BJSS have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2014 | Rīgas FS(home) | 2-2 | 1. Liga |
| Sep 20, 2014 | Saldus / Brocēnu(home) | 1-3 | 1. Liga |
| Sep 13, 2014 | Ogre(home) | 1-1 | 1. Liga |
| Sep 6, 2014 | Tukums(home) | 0-5 | 1. Liga |
| Aug 30, 2014 | Gulbene(home) | 1-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 30, 2014 | Auda(home) | 2-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Smiltene wins, 0 draws, 1 Preiļu BJSS win.
| Date | Score | Competition |
|---|---|---|
| Jun 7, 2014 | Preiļu BJSS 2-1 Smiltene | 1. Liga |
Last archived meeting: Preiļu BJSS vs Smiltene on Jun 7, 2014
How many goals should we expect?
Smiltene score 1.3 and concede 2.3 goals per match over their last 15; Preiļu BJSS score 2.2 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 1.3 | 2.3 | 3 | 8/15 | 10/15 |
| Preiļu BJSS | 2.2 | 2.5 | 4 | 5/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Smiltene | 22 | 5 | 4 | 13 | 32 | 59 | 19 |
A question about Smiltene vs Preiļu BJSS?
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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