Rēzekne FA vs Tukums: result 3-0 and analysis
1. LigaRegular Season - 27Kick-off on October 19, 2013 at 11:00 AM (UTC)Sporta Aģentūras Stadions, Rezekne
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What was the result of Rēzekne FA vs Tukums?
Rēzekne FA won 3-0 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rēzekne FA have 6 wins, 1 draws and 8 defeats; Tukums have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | SFK United(home) | 1-0 | 1. Liga |
| Oct 5, 2013 | Auda(away) | 3-2 | 1. Liga |
| Sep 28, 2013 | BFC Daugavpils(home) | 1-6 | 1. Liga |
| Sep 21, 2013 | Jēkabpils(away) | 1-2 | 1. Liga |
| Sep 14, 2013 | Valmiera / BSS(home) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | FK Jūrmala II(home) | 0-1 | 1. Liga |
| Oct 5, 2013 | SFK United(away) | 4-2 | 1. Liga |
| Sep 28, 2013 | Liepājas Metalurgs II(home) | 5-0 | 1. Liga |
| Sep 20, 2013 | Auda(home) | 7-3 | 1. Liga |
| Sep 13, 2013 | Skonto II(home) | 5-2 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Rēzekne FA win(s), 0 draw(s), 2 Tukums win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2013 | Tukums 4-2 Rēzekne FA | 1. Liga |
| Sep 22, 2012 | Tukums 3-2 Rēzekne FA | 1. Liga |
| Jun 2, 2012 | Rēzekne FA 3-0 Tukums | 1. Liga |
How many goals should we expect?
Rēzekne FA score 1.5 and concede 2.3 goals per match over their last 15; Tukums score 2.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rēzekne FA | 1.5 | 2.3 | 4 | 7/15 | 11/15 |
| Tukums | 2.9 | 1.8 | 2 | 12/15 | 13/15 |
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 | 10 | 1 | 1 | 8 | 7 | 31 | 4 |
| 14 | Rēzekne FA | 17 | 1 | 2 | 14 | 13 | 48 | 5 |
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