Gulbene vs FK Liepaja: prediction and stats
VirsligaRegular Season - 19Kick-off on August 23, 2015 at 12:00 AM (UTC)Gulbenes pilsētas stadions, Gulbene
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gulbene have 7 wins, 0 draws and 8 defeats; FK Liepaja have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2015 | Spartaks Jurmala(away) | 0-6 | Virsliga |
| May 17, 2015 | Metta / LU(home) | 0-2 | Virsliga |
| May 10, 2015 | Jelgava(away) | 1-3 | Virsliga |
| May 1, 2015 | FK Liepaja(home) | 0-2 | Virsliga |
| Apr 18, 2015 | Skonto(away) | 0-5 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Metta / LU(home) | 2-0 | Virsliga |
| Aug 9, 2015 | Jelgava(away) | 1-1 | Virsliga |
| Aug 1, 2015 | Spartaks Jurmala(home) | 4-1 | Virsliga |
| Jul 27, 2015 | Skonto(home) | 2-2 | Virsliga |
| Jul 11, 2015 | BFC Daugavpils(home) | 1-1 | Virsliga |
What does the head-to-head say?
In the last meeting: 0 Gulbene wins, 0 draws, 1 FK Liepaja win.
| Date | Score | Competition |
|---|---|---|
| May 1, 2015 | Gulbene 0-2 FK Liepaja | Virsliga |
How many goals should we expect?
Gulbene score 2.1 and concede 1.8 goals per match over their last 15; FK Liepaja score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gulbene | 2.1 | 1.8 | 5 | 4/15 | 10/15 |
| FK Liepaja | 1.9 | 1.0 | 3 | 11/15 | 8/15 |
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 | FK Liepaja | 35 | 13 | 9 | 13 | 49 | 49 | 48 |
A question about Gulbene vs FK Liepaja?
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