JDFS Alberts vs BFC Daugavpils: result 1-3 and analysis
1. LigaRegular Season - 11Kick-off on July 15, 2017 at 02:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs BFC Daugavpils?
BFC Daugavpils won 1-3 on July 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 3 wins, 2 draws and 10 defeats; BFC Daugavpils have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Valmiera / BSS(home) | 0-3 | 1. Liga |
| Jun 10, 2017 | Jēkabpils(away) | 2-3 | 1. Liga |
| Jun 3, 2017 | Staiceles Bebri(home) | 2-0 | 1. Liga |
| May 27, 2017 | RTU(away) | 1-3 | 1. Liga |
| May 20, 2017 | Tukums(home) | 0-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Auda(away) | 1-1 | 1. Liga |
| Jun 3, 2017 | Preiļu BJSS(away) | 5-0 | 1. Liga |
| May 27, 2017 | Progress / AFA Olaine(home) | 1-2 | 1. Liga |
| May 20, 2017 | Ogre(away) | 6-0 | 1. Liga |
| May 14, 2017 | Rēzekne FA(home) | 0-0 | 1. Liga |
How many goals should we expect?
JDFS Alberts score 1.1 and concede 2.2 goals per match over their last 15; BFC Daugavpils score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.1 | 2.2 | 4 | 7/15 | 10/15 |
| BFC Daugavpils | 1.3 | 1.2 | 4 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
A question about JDFS Alberts vs BFC Daugavpils?
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