Baltika vs Enisey: result 0-1 and analysis
First LeagueRegular Season - 3Kick-off on July 23, 2016 at 04:00 PM (UTC)Rostec Arena, Kaliningrad
Full time
What was the result of Baltika vs Enisey?
Enisey won 0-1 on July 23, 2016.
Goalscorers
- 32′A. IsaevEnisey
Official lineup for Baltika vs Enisey
The starting elevens fielded at kick-off.
Baltika
- 9A. Podbeltsev
- 8A. Maleev
- 14A. Eliseev
- 17E. Sukhanov
- 25E. Tsimbal
- 93Vitali Kalenkovich
- 18K. Marushchak
- 81K. Zimulka
- 23Vladislav Kryuchkov
- 26V. Pochivalin
- 16Mikhail Baranovskiy
Enisey
- 9A. Kozlov
- 21E. Ivanov
- 55A. Isaev
- 64O. Lanin
- 83Aleksandr Kharitonov
- 7A. Əliyev
- 15R. Kolev
- 44N. Chicherin
- 66K. Morozov
- 91N. Chernov
- 1D. Vavilin
What is the recent form of both teams?
Over their last 2 matches in all competitions, Baltika have 2 wins, 0 draws and 0 defeats; Enisey have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | Tyumen(home) | 1-0 | First League |
| Jul 11, 2016 | Shinnik Yaroslavl(home) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | Dynamo(home) | 0-0 | First League |
| Jul 11, 2016 | FK Neftekhimik(home) | 0-1 | First League |
How many goals should we expect?
Baltika score 1.0 and concede 0.0 goals per match over their last 2; Enisey score 0.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltika | 1.0 | 0.0 | 2 | 0/2 | 0/2 |
| Enisey | 0.0 | 0.5 | 1 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Enisey | 13 | 3 | 5 | 5 | 15 | 25 | 14 |
A question about Baltika vs Enisey?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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