Tulevik vs Puuma: result 1-0 and analysis
Esiliiga ARegular SeasonKick-off on March 23, 2013 at 12:00 PM (UTC)Viljandi linnastaadion kunstmuru, Viljandi
Full time
What was the result of Tulevik vs Puuma?
Tulevik won 1-0 on March 23, 2013.
Goalscorers
- 58′R. LuhakooderTulevik
Official lineup for Tulevik vs Puuma
The starting elevens fielded at kick-off.
Tulevik
- MM. Metsa
- KKarel Kübar
- IIndrek Ilves
- RR. Roman
- RR. Vessenberg
- TT. Olev
- RRaiko Mutle
- JJ. Õunap
- GG. Juhkam
- SSiim Saar
- KK. Kähr
Puuma
- YY. Dmitriev
- AA. Filimonov
- VVladimir Ljahhovetski
- AA. Lõsanov
- MM. Dubinin
- PP. Apalinski
- IIlya Kisel
- RRameš Mamedov
- JJevgeni Romanov
- VV. Kurlõtškin
- AA. Boldõrev
What is the recent form of both teams?
In their last match in all competitions, Tulevik have 1 win, 0 draws and 0 defeats; Puuma have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2013 | Flora II(home) | 1-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2013 | Vändra(home) | 1-2 | Esiliiga A |
| Nov 4, 2012 | Lootus(away) | 3-4 | Esiliiga A |
| Oct 28, 2012 | Pärnu(home) | 1-2 | Esiliiga A |
| Oct 21, 2012 | Tammeka II(away) | 3-4 | Esiliiga A |
| Oct 7, 2012 | Kiviõli Irbis(home) | 3-1 | Esiliiga A |
How many goals should we expect?
Tulevik score 1.0 and concede 0.0 goals per match in their last match; Puuma score 1.9 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tulevik | 1.0 | 0.0 | 1 | 0/1 | 0/1 |
| Puuma | 1.9 | 2.8 | 1 | 11/15 | 12/15 |
Over the last match in all competitions.
A question about Tulevik vs Puuma?
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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