JDFS Alberts vs Auda: result 1-3 and analysis
1. LigaRegular Season - 17Kick-off on August 6, 2016 at 03:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Auda?
Auda won 1-3 on August 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 5 wins, 2 draws and 8 defeats; Auda have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Jēkabpils(away) | 1-0 | 1. Liga |
| Jul 23, 2016 | Babīte(home) | 0-3 | 1. Liga |
| Jun 26, 2016 | Staiceles Bebri(home) | 1-1 | 1. Liga |
| Jun 18, 2016 | RTU(home) | 1-0 | 1. Liga |
| Jun 11, 2016 | Tukums(home) | 0-5 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Babīte(home) | 0-4 | 1. Liga |
| Jul 24, 2016 | RTU(home) | 3-1 | 1. Liga |
| Jun 18, 2016 | Skonto(away) | 2-3 | 1. Liga |
| Jun 11, 2016 | Rēzekne FA(away) | 2-2 | 1. Liga |
| Jun 4, 2016 | Saldus / Brocēnu(away) | 11-0 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 JDFS Alberts win, 1 draw, 1 Auda win.
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2016 | Auda 2-1 JDFS Alberts | 1. Liga |
| 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?
JDFS Alberts score 0.9 and concede 1.8 goals per match over their last 15; Auda score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 0.9 | 1.8 | 4 | 4/15 | 9/15 |
| Auda | 2.3 | 1.7 | 3 | 9/15 | 13/15 |
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 | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
A question about JDFS Alberts vs Auda?
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