Tukums vs Rēzekne FA: result 4-2 and analysis
1. LigaRegular Season - 12Kick-off on June 27, 2013 at 04:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Rēzekne FA?
Tukums won 4-2 on June 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 2 wins, 1 draw and 12 defeats; Rēzekne FA have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2013 | FK Jūrmala II(away) | 1-3 | 1. Liga |
| Jun 9, 2013 | SFK United(home) | 3-4 | 1. Liga |
| Jun 2, 2013 | Liepājas Metalurgs II(away) | 3-3 | 1. Liga |
| May 24, 2013 | Auda(away) | 2-1 | 1. Liga |
| May 19, 2013 | Skonto II(away) | 1-5 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2013 | SFK United(away) | 7-2 | 1. Liga |
| Jun 8, 2013 | Auda(home) | 2-1 | 1. Liga |
| Jun 1, 2013 | BFC Daugavpils(away) | 1-1 | 1. Liga |
| May 24, 2013 | Jēkabpils(home) | 1-0 | 1. Liga |
| May 18, 2013 | Valmiera / BSS(away) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Tukums win, 0 draws, 1 Rēzekne FA win.
| Date | Score | Competition |
|---|---|---|
| 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?
Tukums score 1.2 and concede 4.4 goals per match over their last 15; Rēzekne FA score 2.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 1.2 | 4.4 | 0 | 9/15 | 14/15 |
| Rēzekne FA | 2.3 | 1.6 | 5 | 10/15 | 9/15 |
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 Tukums 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