Pärnu vs FCI Tallinn: result 0-3 and analysis
Esiliiga ARegular SeasonKick-off on March 25, 2012 at 03:00 PM (UTC)Pärnu kunstmuru, Pärnu
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What was the result of Pärnu vs FCI Tallinn?
FCI Tallinn won 0-3 on March 25, 2012.
Goalscorers
- 4′A. KalimullinFCI Tallinn
- 21′E. KouadioFCI Tallinn
- 49′A. DemutskiFCI Tallinn
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pärnu have 4 wins, 4 draws and 7 defeats; FCI Tallinn have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2012 | Tartu SK 10(away) | 1-1 | Esiliiga A |
| Mar 11, 2012 | Rakvere Tarvas(home) | 1-2 | Esiliiga A |
| Nov 6, 2011 | FCI Tallinn(away) | 0-3 | Esiliiga A |
| Oct 30, 2011 | Legion(home) | 4-0 | Esiliiga A |
| Oct 23, 2011 | FCI Levadia II(home) | 4-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2012 | Tammeka II(home) | 2-1 | Esiliiga A |
| Nov 6, 2011 | Pärnu(home) | 3-0 | Esiliiga A |
| Oct 30, 2011 | FCI Levadia II(away) | 3-4 | Esiliiga A |
| Oct 23, 2011 | Lootus(home) | 9-2 | Esiliiga A |
| Oct 16, 2011 | Puuma(away) | 4-2 | Esiliiga A |
What does the head-to-head say?
Across the last 4 meetings: 0 Pärnu win(s), 1 draw(s), 3 FCI Tallinn win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2011 | FCI Tallinn 3-0 Pärnu | Esiliiga A |
| Jul 10, 2011 | Pärnu 1-3 FCI Tallinn | Esiliiga A |
| May 8, 2011 | FCI Tallinn 3-3 Pärnu | Esiliiga A |
| May 1, 2011 | Pärnu 1-2 FCI Tallinn | Esiliiga A |
How many goals should we expect?
Pärnu score 2.3 and concede 1.9 goals per match over their last 15; FCI Tallinn score 3.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pärnu | 2.3 | 1.9 | 3 | 9/15 | 11/15 |
| FCI Tallinn | 3.7 | 1.3 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
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