Rēzekne FA vs Gulbene: result 6-3 and analysis
1. LigaRegular Season - 29Kick-off on November 3, 2013 at 12:00 PM (UTC)Sporta Aģentūras Stadions, Rezekne
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What was the result of Rēzekne FA vs Gulbene?
Rēzekne FA won 6-3 on November 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rēzekne FA have 7 wins, 1 draw and 7 defeats; Gulbene have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2013 | Jelgava II(away) | 2-1 | 1. Liga |
| Oct 19, 2013 | Tukums(home) | 3-0 | 1. Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2013 | SFK United(home) | 8-3 | 1. Liga |
| Oct 19, 2013 | Auda(away) | 2-3 | 1. Liga |
| Oct 5, 2013 | Jēkabpils(away) | 3-0 | 1. Liga |
| Sep 28, 2013 | Valmiera / BSS(away) | 2-1 | 1. Liga |
| Sep 21, 2013 | Rīgas FS(away) | 0-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Rēzekne FA wins, 0 draws, 1 Gulbene win.
| Date | Score | Competition |
|---|---|---|
| Jul 13, 2013 | Gulbene 4-0 Rēzekne FA | 1. Liga |
Last archived meeting: Gulbene vs Rēzekne FA on Jul 13, 2013
How many goals should we expect?
Rēzekne FA score 1.3 and concede 2.1 goals per match over their last 15; Gulbene score 2.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rēzekne FA | 1.3 | 2.1 | 4 | 7/15 | 11/15 |
| Gulbene | 2.9 | 0.9 | 8 | 5/15 | 10/15 |
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 Rēzekne FA vs Gulbene?
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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