Auda vs JDFS Alberts: result 2-1 and analysis
1. LigaRegular Season - 2Kick-off on April 9, 2016 at 11:00 AM (UTC)Mežaparks Sports Village, Riga
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What was the result of Auda vs JDFS Alberts?
Auda won 2-1 on April 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Auda have 4 wins, 6 draws and 5 defeats; JDFS Alberts have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Babīte(away) | 0-4 | 1. Liga |
| Nov 7, 2015 | Rīgas FS(away) | 0-0 | 1. Liga |
| Oct 31, 2015 | Preiļu BJSS(home) | 0-0 | 1. Liga |
| Oct 24, 2015 | Olaine / Super Nova(away) | 1-1 | 1. Liga |
| Oct 17, 2015 | Smiltene(home) | 4-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Jēkabpils(home) | 2-2 | 1. Liga |
| Nov 7, 2015 | 1625 Liepāja(away) | 0-5 | 1. Liga |
| Oct 31, 2015 | Saldus / Brocēnu(home) | 1-2 | 1. Liga |
| Oct 24, 2015 | Rīgas FS(away) | 1-4 | 1. Liga |
| Oct 17, 2015 | Preiļu BJSS(home) | 0-2 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Auda win(s), 1 draw(s), 1 JDFS Alberts win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2015 | JDFS Alberts 2-2 Auda | 1. Liga |
| May 30, 2015 | Auda 1-2 JDFS Alberts | 1. Liga |
How many goals should we expect?
Auda score 1.5 and concede 1.3 goals per match over their last 15; JDFS Alberts score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Auda | 1.5 | 1.3 | 5 | 7/15 | 7/15 |
| JDFS Alberts | 0.7 | 2.1 | 0 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 10 | 5 | 2 | 3 | 21 | 14 | 17 |
| 5 | JDFS Alberts | 17 | 9 | 4 | 4 | 35 | 24 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy