Maardu vs Tallinna Kalev: result 2-1 and analysis
Esiliiga ARegular SeasonKick-off on April 9, 2016 at 10:00 AM (UTC)Maardu kunstmuruväljak, Maardu
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What was the result of Maardu vs Tallinna Kalev?
Maardu won 2-1 on April 9, 2016.
Goalscorers
- 14′Š. AbdullajevMaardu
- 86′83009Tallinna Kalev
- 90′Vadim ŠalabaiMaardu
What is the recent form of both teams?
Over their last 6 matches in all competitions, Maardu have 3 wins, 0 draws and 3 defeats; Tallinna Kalev have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2016 | Nõmme Kalju II(home) | 3-0 | Esiliiga A |
| Apr 3, 2016 | K-Järve JK Järve(away) | 0-1 | Esiliiga A |
| Mar 20, 2016 | Tulevik(away) | 2-3 | Esiliiga A |
| Mar 10, 2016 | Vändra(home) | 3-0 | Esiliiga A |
| Mar 6, 2016 | Flora II(away) | 2-5 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2016 | FCI Tallinn II(home) | 2-3 | Esiliiga A |
| Apr 3, 2016 | FCI Levadia II(home) | 0-1 | Esiliiga A |
| Mar 20, 2016 | Nõmme Kalju II(away) | 2-1 | Esiliiga A |
| Mar 13, 2016 | K-Järve JK Järve(home) | 2-1 | Esiliiga A |
| Mar 3, 2016 | Tulevik(home) | 1-2 | Esiliiga A |
How many goals should we expect?
Maardu score 2.2 and concede 1.5 goals per match over their last 6; Tallinna Kalev score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maardu | 2.2 | 1.5 | 3 | 2/6 | 5/6 |
| Tallinna Kalev | 1.2 | 1.5 | 3 | 9/15 | 8/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Maardu sit 8th in Esiliiga A (16 points from 15 matches) and Tallinna Kalev sit 5th (18 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tallinna Kalev | 16 | 5 | 3 | 8 | 27 | 32 | 18 |
| 5 | Tallinna Kalev | 24 | 10 | 5 | 9 | 47 | 42 | 35 |
| 7 | Maardu | 24 | 9 | 5 | 10 | 36 | 51 | 32 |
| 8 | Maardu | 15 | 4 | 4 | 7 | 19 | 33 | 16 |
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