Dynamo vs Baltika: result 2-1 and analysis
First LeagueRegular Season - 4Kick-off on July 27, 2016 at 04:30 PM (UTC)VTB Arena, Moskva
Full time
What was the result of Dynamo vs Baltika?
Dynamo won 2-1 on July 27, 2016.
Goalscorers
- 38′K. PanchenkoDynamo
- 45′V. PochivalinBaltika
- 82′K. PanchenkoDynamo
Official lineup for Dynamo vs Baltika
The starting elevens fielded at kick-off.
Dynamo
- 8K. Panchenko
- 21F. Bećiraj
- 10A. Zotov
- 11I. Temnikov
- 41Aleksandr Sapeta
- 88Aleksandr Tashaev
- 2G. Morozov
- 3S. Holmén
- 12Dmitri Belorukov
- 13S. Terekhov
- 1A. Shunin
Baltika
- 9A. Podbeltsev
- 8A. Maleev
- 14A. Eliseev
- 17E. Sukhanov
- 25E. Tsimbal
- 93Vitali Kalenkovich
- 18K. Marushchak
- 81K. Zimulka
- 23Vladislav Kryuchkov
- 26V. Pochivalin
- 16Mikhail Baranovskiy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo have 10 wins, 4 draws and 1 defeat; Baltika have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2016 | FK Neftekhimik(home) | 3-1 | First League |
| Jul 16, 2016 | Enisey(away) | 0-0 | First League |
| Jul 11, 2016 | Tyumen(home) | 3-0 | First League |
| Mar 19, 2015 | Napoli(home) | 0-0 | UEFA Europa League |
| Mar 12, 2015 | Napoli(away) | 1-3 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2016 | Enisey(home) | 0-1 | First League |
| Jul 16, 2016 | Tyumen(home) | 1-0 | First League |
| Jul 11, 2016 | Shinnik Yaroslavl(home) | 1-0 | First League |
How many goals should we expect?
Dynamo score 1.5 and concede 0.7 goals per match over their last 15; Baltika score 0.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo | 1.5 | 0.7 | 7 | 8/15 | 9/15 |
| Baltika | 0.7 | 0.3 | 2 | 0/3 | 0/3 |
Over the last 15 matches in all competitions.
A question about Dynamo vs Baltika?
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