Rakvere Tarvas vs Vaprus: result 1-2 and analysis
Esiliiga ARegular Season - 3Kick-off on March 28, 2019 at 05:00 PM (UTC)Rakvere linnastaadion, Rakvere
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What was the result of Rakvere Tarvas vs Vaprus?
Vaprus won 1-2 on March 28, 2019.
Goalscorers
- 10′R. TiismaaVaprus (pen.)
- 28′R. TiismaaVaprus
- 44′Joonas LjašRakvere Tarvas (pen.)
Official lineup for Rakvere Tarvas vs Vaprus
The starting elevens fielded at kick-off.
Rakvere Tarvas
- SS. Rannamäe
- JJoonas Ljaš
- AAlari Aunapuu
- MM. Kuokkanen
- MMadis Reimal
- MM. Vahero
- DD. Baikov
- MM. Kisand
- MMihkel Saar
- TTaavi Münter
- AA. Levizi
Vaprus
- RR. Tiismaa
- TTõnis Vihmoja
- UU. Kõrre
- CClen-Raith Uibo
- RR. Limberg
- RR. Mark
- EE. Veensalu
- TT. Kitsel
- RR. Ilves
- JJoosep Sarapuu
- HH. Vainu
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rakvere Tarvas have 5 wins, 2 draws and 8 defeats; Vaprus have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Tammeka II(away) | 0-2 | Esiliiga A |
| Mar 10, 2019 | FCI Levadia II(home) | 1-0 | Esiliiga A |
| Nov 11, 2018 | FCI Levadia II(away) | 1-2 | Esiliiga A |
| Nov 4, 2018 | Elva(away) | 2-4 | Esiliiga A |
| Oct 25, 2018 | Nõmme Kalju II(home) | 2-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2019 | K-Järve JK Järve(home) | 1-0 | Esiliiga A |
| Mar 9, 2019 | Legion(away) | 0-2 | Esiliiga A |
How many goals should we expect?
Rakvere Tarvas score 1.2 and concede 1.7 goals per match over their last 15; Vaprus score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rakvere Tarvas | 1.2 | 1.7 | 1 | 11/15 | 9/15 |
| Vaprus | 0.5 | 1.0 | 1 | 0/2 | 0/2 |
Over the last 15 matches in all competitions.
A question about Rakvere Tarvas vs Vaprus?
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