Tallinna Kalev II vs Elva: result 0-0 and analysis
Esiliiga ARegular SeasonKick-off on March 11, 2018 at 11:00 AM (UTC)Kalevi Keskstaadioni kunstmuru, Tallinn
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What was the result of Tallinna Kalev II vs Elva?
Tallinna Kalev II and Elva drew 0-0 on March 11, 2018.
Official lineup for Tallinna Kalev II vs Elva
The starting elevens fielded at kick-off.
Tallinna Kalev II
- BBrandon Bachmann
- SS. Kelder
- RR. Reimaa
- KK. Dmitrijev
- KKaspar Tilga
- FFreddie Heinmaa
- JJuhan Jakobson
- DD. Shevyakov
- MM. Kruusalu
- KK. Laur
- KK. Vallner
Elva
- AA. Joandi
- TT. Timm
- AArvo Käkk
- KK. Tinn
- NN. Karasjov
- JJ. Kuresoo
- MM. Kuresoo
- RR. Kuus
- VV. Kütt
- HH. Härm
- MM. Thomson
What is the recent form of both teams?
In their last match in all competitions, Tallinna Kalev II have 0 wins, 1 draw and 0 defeats; Elva have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2018 | Rakvere Tarvas(home) | 0-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2018 | Tartu Santos(away) | 1-0 | Esiliiga A |
| Nov 5, 2017 | FCI Levadia II(away) | 5-2 | Esiliiga A |
| Oct 28, 2017 | Tartu Santos(home) | 0-3 | Esiliiga A |
| Oct 22, 2017 | FCI Tallinn II(home) | 1-2 | Esiliiga A |
| Oct 15, 2017 | Flora II(away) | 1-2 | Esiliiga A |
How many goals should we expect?
Tallinna Kalev II score 0.0 and concede 0.0 goals per match in their last match; Elva score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tallinna Kalev II | 0.0 | 0.0 | 1 | 0/1 | 0/1 |
| Elva | 1.3 | 2.5 | 2 | 8/15 | 11/15 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Elva | 35 | 14 | 10 | 11 | 50 | 51 | 52 |
A question about Tallinna Kalev II vs Elva?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy