Jelgava II vs Rēzekne FA: result 3-0 and analysis
1. LigaRegular Season - 12Kick-off on August 5, 2012 at 01:00 PM (UTC)
Full time
What was the result of Jelgava II vs Rēzekne FA?
Jelgava II won 3-0 on August 5, 2012.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Jelgava II have 1 win, 2 draws and 8 defeats; Rēzekne FA have 3, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2012 | Auda(away) | 1-4 | 1. Liga |
| Jul 21, 2012 | 1625 Liepāja(away) | 1-2 | 1. Liga |
| Jul 14, 2012 | BFC Daugavpils(home) | 0-2 | 1. Liga |
| Jun 17, 2012 | Tukums(home) | 3-1 | 1. Liga |
| Jun 9, 2012 | Valmiera / BSS(away) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2012 | Rīgas FS(home) | 0-1 | 1. Liga |
| Jul 18, 2012 | Auda(away) | 2-5 | 1. Liga |
| Jul 14, 2012 | Metta II / Salaspils(away) | 1-2 | 1. Liga |
| Jun 17, 2012 | BFC Daugavpils(home) | 0-2 | 1. Liga |
| Jun 9, 2012 | 1625 Liepāja(away) | 1-2 | 1. Liga |
How many goals should we expect?
Jelgava II score 1.3 and concede 2.9 goals per match over their last 11; Rēzekne FA score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jelgava II | 1.3 | 2.9 | 0 | 7/11 | 7/11 |
| Rēzekne FA | 1.5 | 1.8 | 3 | 4/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Rēzekne FA | 25 | 1 | 3 | 21 | 17 | 83 | 6 |
A question about Jelgava II vs Rēzekne FA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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