Babīte vs Jēkabpils: result 12-0 and analysis
1. LigaRegular Season - 23Kick-off on September 18, 2016 at 12:00 PM (UTC)
Full time
What was the result of Babīte vs Jēkabpils?
Babīte won 12-0 on September 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Babīte have 14 wins, 0 draws and 1 defeat; Jēkabpils have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 21, 2016 | Ogre(away) | 4-0 | 1. Liga |
| Aug 14, 2016 | Olaine / Super Nova(away) | 0-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | RTU(home) | 0-8 | 1. Liga |
| Aug 28, 2016 | Skonto(home) | 1-8 | 1. Liga |
| Aug 24, 2016 | Saldus / Brocēnu(away) | 0-4 | 1. Liga |
| Aug 20, 2016 | Rēzekne FA(away) | 0-12 | 1. Liga |
| Aug 13, 2016 | Saldus / Brocēnu(home) | 5-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Babīte win, 0 draws, 0 Jēkabpils wins.
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | Jēkabpils 1-6 Babīte | 1. Liga |
How many goals should we expect?
Babīte score 3.7 and concede 0.8 goals per match over their last 15; Jēkabpils score 1.2 and concede 4.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babīte | 3.7 | 0.8 | 8 | 6/15 | 13/15 |
| Jēkabpils | 1.2 | 4.6 | 2 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Babīte vs Jēkabpils?
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