JDFS Alberts vs Dinamo Rīga / Staicele: result 1-0 and analysis
1. LigaRegular Season - 15Kick-off on August 10, 2019 at 03:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Dinamo Rīga / Staicele?
JDFS Alberts won 1-0 on August 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 9 wins, 1 draws and 5 defeats; Dinamo Rīga / Staicele have 1, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Smiltene(home) | 2-3 | 1. Liga |
| Jul 27, 2019 | Rēzekne FA(home) | 4-1 | 1. Liga |
| Jul 20, 2019 | New Project(away) | 2-0 | 1. Liga |
| Jun 8, 2019 | Grobiņa(away) | 2-1 | 1. Liga |
| Jun 1, 2019 | Auda(home) | 3-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Tukums(home) | 0-0 | 1. Liga |
| Jul 27, 2019 | Super Nova(home) | 0-3 | 1. Liga |
| Jul 20, 2019 | Auda(away) | 0-7 | 1. Liga |
| Jul 6, 2019 | Smiltene(home) | 0-4 | 1. Liga |
| Jun 8, 2019 | Rēzekne FA(away) | 1-3 | 1. Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 JDFS Alberts win(s), 0 draw(s), 0 Dinamo Rīga / Staicele win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2019 | Dinamo Rīga / Staicele 1-3 JDFS Alberts | 1. Liga |
Last archived meeting: Dinamo Rīga / Staicele vs JDFS Alberts on May 11, 2019
How many goals should we expect?
JDFS Alberts score 2.1 and concede 2.1 goals per match over their last 15; Dinamo Rīga / Staicele score 0.6 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 2.1 | 2.1 | 2 | 10/15 | 14/15 |
| Dinamo Rīga / Staicele | 0.6 | 3.0 | 2 | 5/14 | 12/14 |
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