Saldus / Brocēnu vs JDFS Alberts: result 1-0 and analysis
1. LigaRegular Season - 14Kick-off on June 27, 2015 at 02:00 PM (UTC)Saldus pilsētas stadionā, Saldus
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What was the result of Saldus / Brocēnu vs JDFS Alberts?
Saldus / Brocēnu won 1-0 on June 27, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saldus / Brocēnu have 1 win, 3 draws and 11 defeats; JDFS Alberts have 9, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2015 | Staiceles Bebri(away) | 1-2 | 1. Liga |
| Jun 13, 2015 | Rēzekne FA(home) | 0-3 | 1. Liga |
| Jun 6, 2015 | Salaspils(away) | 1-2 | 1. Liga |
| May 30, 2015 | Riga(home) | 0-3 | 1. Liga |
| May 23, 2015 | Ogre(away) | 1-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2015 | Rīgas FS(home) | 0-3 | 1. Liga |
| Jun 13, 2015 | Preiļu BJSS(away) | 3-2 | 1. Liga |
| Jun 6, 2015 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| May 30, 2015 | Auda(away) | 2-1 | 1. Liga |
| May 23, 2015 | Tukums(home) | 2-0 | 1. Liga |
How many goals should we expect?
Saldus / Brocēnu score 0.7 and concede 2.0 goals per match over their last 15; JDFS Alberts score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saldus / Brocēnu | 0.7 | 2.0 | 2 | 7/15 | 10/15 |
| JDFS Alberts | 1.8 | 1.5 | 4 | 6/13 | 9/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 26 | 14 | 5 | 7 | 55 | 37 | 47 |
A question about Saldus / Brocēnu vs JDFS Alberts?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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