FCI Levadia II vs Tallinna Kalev II: result 4-0 and analysis
Esiliiga ARegular SeasonKick-off on April 9, 2018 at 04:00 PM (UTC)Maarjamäe Staadion, Tallinn
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What was the result of FCI Levadia II vs Tallinna Kalev II?
FCI Levadia II won 4-0 on April 9, 2018.
Goalscorers
- 74′Anton KrutogolovFCI Levadia II
- 77′M. VahernaFCI Levadia II
- 85′E. UtgofFCI Levadia II
- 88′M. VahernaFCI Levadia II
What is the recent form of both teams?
Over their last 15 matches in all competitions, FCI Levadia II have 4 wins, 3 draws and 8 defeats; Tallinna Kalev II have 2, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2018 | Nõmme Kalju II(away) | 0-2 | Esiliiga A |
| Apr 1, 2018 | Maardu(home) | 0-3 | Esiliiga A |
| Mar 15, 2018 | Tartu Welco(away) | 1-1 | Esiliiga A |
| Mar 9, 2018 | Tartu Santos(home) | 0-0 | Esiliiga A |
| Mar 1, 2018 | Flora II(away) | 2-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2018 | Tartu Welco(home) | 1-1 | Esiliiga A |
| Mar 29, 2018 | Nõmme Kalju II(home) | 2-0 | Esiliiga A |
| Mar 18, 2018 | Tartu Santos(away) | 2-0 | Esiliiga A |
| Mar 11, 2018 | Elva(home) | 0-0 | Esiliiga A |
| Mar 4, 2018 | Rakvere Tarvas(home) | 0-0 | Esiliiga A |
How many goals should we expect?
FCI Levadia II score 1.4 and concede 1.8 goals per match over their last 15; Tallinna Kalev II score 1.0 and concede 0.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FCI Levadia II | 1.4 | 1.8 | 4 | 7/15 | 8/15 |
| Tallinna Kalev II | 1.0 | 0.2 | 4 | 1/5 | 0/5 |
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