Babīte vs FK Ventspils: prediction and stats
VirsligaRegular Season - 18Kick-off on August 13, 2017 at 12:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Babīte have 2 wins, 2 draws and 11 defeats; FK Ventspils have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2017 | Spartaks Jurmala(home) | 0-1 | Virsliga |
| Jun 2, 2017 | FK Ventspils(away) | 0-1 | Virsliga |
| May 26, 2017 | FK Liepaja(home) | 1-2 | Virsliga |
| May 20, 2017 | Rīgas FS(away) | 1-2 | Virsliga |
| May 12, 2017 | Jelgava(home) | 0-5 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2017 | Spartaks Jurmala(home) | 4-0 | Virsliga |
| Aug 5, 2017 | Jelgava(home) | 1-0 | Virsliga |
| Jul 30, 2017 | Riga(away) | 2-0 | Virsliga |
| Jul 24, 2017 | Metta / LU(home) | 3-0 | Virsliga |
| Jul 6, 2017 | Valur Reykjavik(away) | 0-1 | UEFA Europa League |
What does the head-to-head say?
Across the last 2 meetings: 0 Babīte wins, 0 draws, 2 FK Ventspils wins.
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2017 | FK Ventspils 1-0 Babīte | Virsliga |
| Apr 15, 2017 | Babīte 0-4 FK Ventspils | Virsliga |
Last archived meeting: FK Ventspils vs Babīte on Jun 2, 2017
How many goals should we expect?
Babīte score 1.1 and concede 2.2 goals per match over their last 15; FK Ventspils score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babīte | 1.1 | 2.2 | 1 | 8/15 | 11/15 |
| FK Ventspils | 1.1 | 0.6 | 9 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about Babīte vs FK Ventspils?
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