Saldus / Brocēnu vs Babīte: result 0-3 and analysis
1. LigaRegular Season - 25Kick-off on October 1, 2016 at 12:00 PM (UTC)Saldus pilsētas stadionā, Saldus
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What was the result of Saldus / Brocēnu vs Babīte?
Babīte won 0-3 on October 1, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saldus / Brocēnu have 1 win, 0 draws and 14 defeats; Babīte have 14, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | RTU(home) | 0-3 | 1. Liga |
| Sep 10, 2016 | Skonto(home) | 3-5 | 1. Liga |
| Sep 3, 2016 | Rēzekne FA(home) | 1-5 | 1. Liga |
| Aug 27, 2016 | JDFS Alberts(home) | 0-2 | 1. Liga |
| Aug 24, 2016 | Jēkabpils(home) | 4-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Valmiera / BSS(away) | 2-1 | 1. Liga |
| Sep 18, 2016 | Jēkabpils(home) | 12-0 | 1. Liga |
| Sep 10, 2016 | Staiceles Bebri(away) | 10-0 | 1. Liga |
| Sep 3, 2016 | Tukums(away) | 3-0 | 1. Liga |
| Aug 27, 2016 | Smiltene(away) | 3-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Saldus / Brocēnu wins, 0 draws, 1 Babīte win.
| Date | Score | Competition |
|---|---|---|
| May 28, 2016 | Babīte 3-0 Saldus / Brocēnu | 1. Liga |
Last archived meeting: Babīte vs Saldus / Brocēnu on May 28, 2016
How many goals should we expect?
Saldus / Brocēnu score 0.8 and concede 5.3 goals per match over their last 15; Babīte score 4.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saldus / Brocēnu | 0.8 | 5.3 | 1 | 4/15 | 14/15 |
| Babīte | 4.1 | 0.7 | 9 | 5/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Saldus / Brocēnu 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