Flora II vs Puuma: result 0-3 and analysis
Esiliiga ARegular SeasonKick-off on July 17, 2011 at 02:00 PM (UTC)A. Le Coq Arena I muru, Tallinn
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What was the result of Flora II vs Puuma?
Puuma won 0-3 on July 17, 2011.
Goalscorers
- 10′K. VinogradovPuuma
- 43′S. TeinoPuuma
- 68′I. AntonovPuuma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flora II have 8 wins, 4 draws and 3 defeats; Puuma 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 |
|---|---|---|---|
| Jul 10, 2011 | Lootus(away) | 0-0 | Esiliiga A |
| Jul 4, 2011 | FCI Levadia II(away) | 0-2 | Esiliiga A |
| Jun 22, 2011 | Pärnu(home) | 1-1 | Esiliiga A |
| Jun 19, 2011 | FCI Tallinn(away) | 1-3 | Esiliiga A |
| Jun 15, 2011 | Kiviõli Irbis(home) | 8-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2011 | Tallinna Kalev(home) | 0-5 | Esiliiga A |
| Jul 4, 2011 | Warrior(home) | 3-1 | Esiliiga A |
| Jun 22, 2011 | Legion(home) | 3-3 | Esiliiga A |
| Jun 19, 2011 | Lootus(away) | 2-2 | Esiliiga A |
| Jun 15, 2011 | FCI Levadia II(home) | 1-1 | Esiliiga A |
What does the head-to-head say?
Across the last 2 meetings: 2 Flora II win(s), 0 draw(s), 0 Puuma win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 5, 2011 | Puuma 2-3 Flora II | Esiliiga A |
| Apr 24, 2011 | Flora II 4-0 Puuma | Esiliiga A |
How many goals should we expect?
Flora II score 2.2 and concede 0.9 goals per match over their last 15; Puuma score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flora II | 2.2 | 0.9 | 6 | 7/15 | 8/15 |
| Puuma | 1.7 | 2.1 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Flora II | 13 | 8 | 2 | 3 | 36 | 24 | 26 |
| 3 | Flora II | 24 | 12 | 4 | 8 | 57 | 42 | 40 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy