Rēzekne FA vs Tukums: result 3-0 and analysis
1. LigaRegular Season - 6Kick-off on June 2, 2012 at 12:00 PM (UTC)Sporta Aģentūras Stadions, Rezekne
Full time
What was the result of Rēzekne FA vs Tukums?
Rēzekne FA won 3-0 on June 2, 2012.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Rēzekne FA have 2 wins, 0 draws and 3 defeats; Tukums have 1, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2012 | Valmiera / BSS(away) | 3-0 | 1. Liga |
| May 18, 2012 | Skonto II(home) | 0-1 | 1. Liga |
| May 12, 2012 | Ilukstes NSS(away) | 2-3 | 1. Liga |
| May 5, 2012 | Spartaks II(home) | 5-0 | 1. Liga |
| Apr 29, 2012 | Ventspils II(away) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2012 | Auda(home) | 1-3 | 1. Liga |
| May 19, 2012 | BFC Daugavpils(away) | 0-3 | 1. Liga |
| May 12, 2012 | 1625 Liepāja(home) | 1-3 | 1. Liga |
| May 5, 2012 | Metta II / Salaspils(away) | 1-2 | 1. Liga |
| Apr 29, 2012 | Valmiera / BSS(away) | 2-1 | 1. Liga |
How many goals should we expect?
Rēzekne FA score 2.0 and concede 1.6 goals per match over their last 5; Tukums score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rēzekne FA | 2.0 | 1.6 | 2 | 1/5 | 4/5 |
| Tukums | 1.0 | 2.4 | 0 | 4/5 | 5/5 |
Over the last 5 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 Rēzekne FA vs Tukums?
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