Puuma vs Flora II: result 2-3 and analysis
Esiliiga ARegular SeasonKick-off on June 5, 2011 at 02:00 PM (UTC)Lasnamäe SPK kunstmuruväljak, Tallinn
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What was the result of Puuma vs Flora II?
Flora II won 2-3 on June 5, 2011.
Goalscorers
- 45′E. KubberFlora II
- 63′M. MetsaFlora II
- 66′N. TšerneiPuuma
- 81′254306Puuma
- 82′R. PiirFlora II
What is the recent form of both teams?
Over their last 12 matches in all competitions, Puuma have 6 wins, 2 draws and 4 defeats; Flora II have 6, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2011 | FCI Tallinn(home) | 5-2 | Esiliiga A |
| May 22, 2011 | Kiviõli Irbis(away) | 2-1 | Esiliiga A |
| May 8, 2011 | Tallinna Kalev(away) | 0-5 | Esiliiga A |
| May 1, 2011 | Tallinna Kalev(home) | 1-0 | Esiliiga A |
| Apr 24, 2011 | Flora II(away) | 0-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2011 | Lootus(home) | 1-1 | Esiliiga A |
| May 1, 2011 | Lootus(away) | 2-0 | Esiliiga A |
| Apr 24, 2011 | Puuma(home) | 4-0 | Esiliiga A |
| Apr 17, 2011 | Warrior(away) | 3-0 | Esiliiga A |
| Apr 10, 2011 | Tallinna Kalev(home) | 1-1 | Esiliiga A |
What does the head-to-head say?
Across the last 1 meetings: 0 Puuma win(s), 0 draw(s), 1 Flora II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2011 | Flora II 4-0 Puuma | Esiliiga A |
How many goals should we expect?
Puuma score 1.9 and concede 1.7 goals per match over their last 12; Flora II score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puuma | 1.9 | 1.7 | 2 | 6/12 | 6/12 |
| Flora II | 2.0 | 0.7 | 4 | 4/10 | 5/10 |
Over the last 12 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