Rakvere Tarvas vs Puuma: result 1-1 and analysis
Esiliiga ARegular SeasonKick-off on March 18, 2012 at 12:00 PM (UTC)Rakvere linnastaadion, Rakvere
Full time
What was the result of Rakvere Tarvas vs Puuma?
Rakvere Tarvas and Puuma drew 1-1 on March 18, 2012.
Goalscorers
- 10′S. TeinoPuuma
- 51′Joonas LjašRakvere Tarvas
Official lineup for Rakvere Tarvas vs Puuma
The starting elevens fielded at kick-off.
Rakvere Tarvas
- HH. Hang
- SS. Rannamäe
- TTarmo Rebane
- AAlari Tovstik
- JJoonas Ljaš
- AAlari Aunapuu
- RR. Kuusik
- KK. Saar
- EE. Tovstik
- MMihkel Saar
- SSander Susi
Puuma
- KK. Kauber
- SS. Teino
- AA. Filimonov
- KK. Vinogradov
- MM. Dubinin
- SS. Bilinski
- VV. Mališauskas
- KK. Jädal
- JJanno Roosimets
- EE. Heintare
- VV. Kurlõtškin
What is the recent form of both teams?
In their last match in all competitions, Rakvere Tarvas have 1 win, 0 draws and 0 defeats; Puuma have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2012 | Pärnu(away) | 2-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2012 | Flora II(home) | 1-2 | Esiliiga A |
| Nov 6, 2011 | Tallinna Kalev(away) | 2-3 | Esiliiga A |
| Oct 30, 2011 | Flora II(home) | 2-3 | Esiliiga A |
| Oct 26, 2011 | Kiviõli Irbis(away) | 1-4 | Esiliiga A |
| Oct 16, 2011 | FCI Tallinn(home) | 2-4 | Esiliiga A |
How many goals should we expect?
Rakvere Tarvas score 2.0 and concede 1.0 goals per match in their last match; Puuma score 2.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rakvere Tarvas | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
| Puuma | 2.5 | 2.2 | 1 | 14/15 | 12/15 |
Over the last match in all competitions.
A question about Rakvere Tarvas vs Puuma?
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