Rēzekne FA vs RTU: result 4-0 and analysis
1. LigaRegular Season - 10Kick-off on May 28, 2016 at 12:00 PM (UTC)Sporta Aģentūras Stadions, Rezekne
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What was the result of Rēzekne FA vs RTU?
Rēzekne FA won 4-0 on May 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rēzekne FA have 10 wins, 1 draw and 4 defeats; RTU have 6, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2016 | Skonto(home) | 0-1 | 1. Liga |
| May 8, 2016 | JDFS Alberts(home) | 3-0 | 1. Liga |
| May 4, 2016 | Saldus / Brocēnu(home) | 8-0 | 1. Liga |
| Apr 30, 2016 | Valmiera / BSS(home) | 3-2 | 1. Liga |
| Apr 23, 2016 | Jēkabpils(away) | 6-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Saldus / Brocēnu(home) | 7-1 | 1. Liga |
| May 14, 2016 | Valmiera / BSS(away) | 2-0 | 1. Liga |
| May 7, 2016 | Jēkabpils(home) | 1-2 | 1. Liga |
| May 4, 2016 | Staiceles Bebri(away) | 2-0 | 1. Liga |
| Apr 30, 2016 | Tukums(home) | 2-1 | 1. Liga |
How many goals should we expect?
Rēzekne FA score 3.4 and concede 2.0 goals per match over their last 15; RTU score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rēzekne FA | 3.4 | 2.0 | 5 | 7/15 | 13/15 |
| RTU | 2.1 | 0.7 | 4 | 5/9 | 4/9 |
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 Rēzekne FA vs RTU?
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