JDFS Alberts vs Super Nova: result 2-1 and analysis
1. LigaRegular Season - 7Kick-off on May 18, 2019 at 01:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Super Nova?
JDFS Alberts won 2-1 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 6 wins, 2 draws and 7 defeats; Super Nova have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Dinamo Rīga / Staicele(away) | 3-1 | 1. Liga |
| May 4, 2019 | Smiltene(away) | 3-3 | 1. Liga |
| May 1, 2019 | New Project(home) | 3-2 | 1. Liga |
| Apr 27, 2019 | Rēzekne FA(away) | 0-3 | 1. Liga |
| Apr 13, 2019 | Balvu(away) | 3-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Tukums(home) | 0-1 | 1. Liga |
| May 4, 2019 | Auda(home) | 1-0 | 1. Liga |
| Apr 27, 2019 | Dinamo Rīga / Staicele(away) | 5-0 | 1. Liga |
| Apr 20, 2019 | Smiltene(home) | 3-0 | 1. Liga |
| Apr 13, 2019 | Rēzekne FA(home) | 1-0 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 JDFS Alberts win(s), 0 draw(s), 2 Super Nova win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2018 | JDFS Alberts 0-8 Super Nova | 1. Liga |
| Jul 28, 2018 | Super Nova 1-0 JDFS Alberts | 1. Liga |
Last archived meeting: JDFS Alberts vs Super Nova on Oct 21, 2018
How many goals should we expect?
JDFS Alberts score 1.9 and concede 2.7 goals per match over their last 15; Super Nova score 3.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.9 | 2.7 | 2 | 9/15 | 13/15 |
| Super Nova | 3.3 | 0.9 | 9 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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