JDFS Alberts vs Babīte: result 0-3 and analysis
1. LigaRegular Season - 15Kick-off on July 23, 2016 at 03:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Babīte?
Babīte won 0-3 on July 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 4 wins, 2 draws and 9 defeats; Babīte have 13, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | Staiceles Bebri(home) | 1-1 | 1. Liga |
| Jun 18, 2016 | RTU(home) | 1-0 | 1. Liga |
| Jun 11, 2016 | Tukums(home) | 0-5 | 1. Liga |
| May 28, 2016 | Smiltene(home) | 0-2 | 1. Liga |
| May 21, 2016 | Skonto(away) | 0-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | RTU(away) | 3-2 | 1. Liga |
| Jun 12, 2016 | Skonto(away) | 1-0 | 1. Liga |
| Jun 5, 2016 | Rēzekne FA(home) | 4-3 | 1. Liga |
| May 28, 2016 | Saldus / Brocēnu(home) | 3-0 | 1. Liga |
| May 21, 2016 | Valmiera / BSS(home) | 2-0 | 1. Liga |
How many goals should we expect?
JDFS Alberts score 0.9 and concede 2.1 goals per match over their last 15; Babīte score 3.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 0.9 | 2.1 | 3 | 5/15 | 10/15 |
| Babīte | 3.0 | 0.8 | 6 | 7/13 | 9/13 |
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 Babīte?
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