Balvu vs Rēzekne FA: result 0-2 and analysis
1. LigaRegular Season - 15Kick-off on August 10, 2019 at 03:00 PM (UTC)Rugāju stadions, Rugāji
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What was the result of Balvu vs Rēzekne FA?
Rēzekne FA won 0-2 on August 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Balvu have 2 wins, 0 draws and 13 defeats; Rēzekne FA have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | New Project(away) | 1-2 | 1. Liga |
| Jul 27, 2019 | Auda(home) | 1-2 | 1. Liga |
| Jul 20, 2019 | Grobiņa(home) | 1-3 | 1. Liga |
| Jun 8, 2019 | Tukums(home) | 0-5 | 1. Liga |
| Jun 1, 2019 | Super Nova(home) | 0-10 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Grobiņa(away) | 2-6 | 1. Liga |
| Jul 27, 2019 | JDFS Alberts(away) | 1-4 | 1. Liga |
| Jul 20, 2019 | Tukums(home) | 1-1 | 1. Liga |
| Jun 8, 2019 | Dinamo Rīga / Staicele(home) | 3-1 | 1. Liga |
| Jun 1, 2019 | Smiltene(home) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Balvu wins, 0 draws, 3 Rēzekne FA wins.
| Date | Score | Competition |
|---|---|---|
| May 11, 2019 | Rēzekne FA 6-0 Balvu | 1. Liga |
| Aug 4, 2018 | Balvu 1-14 Rēzekne FA | 1. Liga |
| Apr 21, 2018 | Rēzekne FA 5-1 Balvu | 1. Liga |
How many goals should we expect?
Balvu score 0.8 and concede 4.9 goals per match over their last 15; Rēzekne FA score 2.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Balvu | 0.8 | 4.9 | 1 | 8/15 | 14/15 |
| Rēzekne FA | 2.0 | 2.1 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Rēzekne FA | 21 | 1 | 3 | 17 | 17 | 64 | 6 |
A question about Balvu vs Rēzekne FA?
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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