Dinamo Rīga / Staicele vs JDFS Alberts: result 1-3 and analysis
1. LigaRegular Season - 6Kick-off on May 11, 2019 at 03:00 PM (UTC)RTU stadions, Riga
Full time
What was the result of Dinamo Rīga / Staicele vs JDFS Alberts?
JDFS Alberts won 1-3 on May 11, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Dinamo Rīga / Staicele have 0 wins, 0 draws and 5 defeats; JDFS Alberts have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Tukums(away) | 1-4 | 1. Liga |
| Apr 27, 2019 | Super Nova(home) | 0-5 | 1. Liga |
| Apr 20, 2019 | Auda(home) | 1-2 | 1. Liga |
| Apr 13, 2019 | Smiltene(away) | 0-3 | 1. Liga |
| Apr 6, 2019 | Rēzekne FA(home) | 0-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 6, 2019 | Grobiņa(home) | 1-2 | 1. Liga |
How many goals should we expect?
Dinamo Rīga / Staicele score 0.4 and concede 3.0 goals per match over their last 5; JDFS Alberts score 1.8 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Rīga / Staicele | 0.4 | 3.0 | 0 | 2/5 | 4/5 |
| JDFS Alberts | 1.8 | 2.7 | 2 | 9/15 | 13/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 25 | 13 | 5 | 7 | 52 | 36 | 44 |
A question about Dinamo Rīga / Staicele vs JDFS Alberts?
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