JDFS Alberts vs Tukums: result 0-5 and analysis
1. LigaRegular Season - 12Kick-off on June 11, 2016 at 02:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Tukums?
Tukums won 0-5 on June 11, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 3 wins, 2 draws and 10 defeats; Tukums have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Smiltene(home) | 0-2 | 1. Liga |
| May 21, 2016 | Skonto(away) | 0-2 | 1. Liga |
| May 14, 2016 | Ogre(home) | 3-1 | 1. Liga |
| May 8, 2016 | Rēzekne FA(away) | 0-3 | 1. Liga |
| May 4, 2016 | Olaine / Super Nova(away) | 0-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Smiltene(away) | 1-8 | 1. Liga |
| May 29, 2016 | Ogre(away) | 2-1 | 1. Liga |
| May 22, 2016 | Olaine / Super Nova(away) | 0-2 | 1. Liga |
| May 14, 2016 | Preiļu BJSS(home) | 5-1 | 1. Liga |
| May 7, 2016 | Auda(away) | 4-2 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 JDFS Alberts win(s), 0 draw(s), 1 Tukums win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2015 | Tukums 1-0 JDFS Alberts | 1. Liga |
| May 23, 2015 | JDFS Alberts 2-0 Tukums | 1. Liga |
Last archived meeting: Tukums vs JDFS Alberts on Sep 26, 2015
How many goals should we expect?
JDFS Alberts score 0.9 and concede 2.1 goals per match over their last 15; Tukums score 2.6 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 0.9 | 2.1 | 2 | 6/15 | 10/15 |
| Tukums | 2.6 | 2.4 | 2 | 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 | 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