FCI Levadia II vs Tartu SK 10: result 4-1 and analysis
Esiliiga ARegular SeasonKick-off on April 15, 2012 at 11:00 AM (UTC)Maarjamäe Staadion, Tallinn
Full time
What was the result of FCI Levadia II vs Tartu SK 10?
FCI Levadia II won 4-1 on April 15, 2012.
Goalscorers
- 5′A. RättelFCI Levadia II
- 32′M. SaarlasFCI Levadia II (pen.)
- 52′A. RättelFCI Levadia II
- 55′254233Tartu SK 10
- 80′A. RättelFCI Levadia II
What is the recent form of both teams?
Over their last 15 matches in all competitions, FCI Levadia II have 4 wins, 4 draws and 7 defeats; Tartu SK 10 have 3, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2012 | Rakvere Tarvas(away) | 1-2 | Esiliiga A |
| Apr 8, 2012 | Flora II(home) | 0-0 | Esiliiga A |
| Apr 1, 2012 | Puuma(away) | 1-2 | Esiliiga A |
| Mar 28, 2012 | Pärnu(home) | 1-2 | Esiliiga A |
| Mar 25, 2012 | Tammeka II(away) | 1-3 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2012 | FCI Tallinn(home) | 1-2 | Esiliiga A |
| Apr 8, 2012 | Lootus(away) | 4-0 | Esiliiga A |
| Apr 1, 2012 | Rakvere Tarvas(away) | 3-1 | Esiliiga A |
| Mar 28, 2012 | Flora II(home) | 0-1 | Esiliiga A |
| Mar 25, 2012 | Puuma(away) | 2-0 | Esiliiga A |
How many goals should we expect?
FCI Levadia II score 1.7 and concede 2.0 goals per match over their last 15; Tartu SK 10 score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FCI Levadia II | 1.7 | 2.0 | 1 | 13/15 | 12/15 |
| Tartu SK 10 | 1.7 | 0.9 | 2 | 4/7 | 3/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | FCI Levadia II | 25 | 11 | 1 | 13 | 47 | 48 | 34 |
| 9 | FCI Levadia II | 16 | 5 | 0 | 11 | 26 | 33 | 15 |
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