JDFS Alberts vs Tukums: result 2-0 and analysis
1. LigaRegular Season - 9Kick-off on May 23, 2015 at 12:00 PM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
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What was the result of JDFS Alberts vs Tukums?
JDFS Alberts won 2-0 on May 23, 2015.
What is the recent form of both teams?
Over their last 8 matches in all competitions, JDFS Alberts have 5 wins, 0 draws and 3 defeats; Tukums have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Smiltene(away) | 3-1 | 1. Liga |
| May 9, 2015 | Staiceles Bebri(away) | 3-0 | 1. Liga |
| May 4, 2015 | Rēzekne FA(home) | 2-1 | 1. Liga |
| May 1, 2015 | Salaspils(away) | 0-1 | 1. Liga |
| Apr 25, 2015 | Riga(home) | 0-7 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Staiceles Bebri(away) | 4-0 | 1. Liga |
| May 10, 2015 | Rēzekne FA(away) | 2-4 | 1. Liga |
| May 4, 2015 | Salaspils(home) | 3-1 | 1. Liga |
| May 1, 2015 | Riga(away) | 0-11 | 1. Liga |
| Apr 25, 2015 | Ogre(away) | 3-3 | 1. Liga |
How many goals should we expect?
JDFS Alberts score 1.9 and concede 1.8 goals per match over their last 8; Tukums score 2.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.9 | 1.8 | 2 | 4/8 | 6/8 |
| Tukums | 2.7 | 2.0 | 6 | 7/15 | 12/15 |
Over the last 8 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 Tukums?
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