Baltika vs FC Rostov: result 2-2 and analysis
Premier LeagueRegular Season - 8Kick-off on September 16, 2023 at 06:15 PM (UTC)Rostec Arena, Kaliningrad
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What was the result of Baltika vs FC Rostov?
Baltika and FC Rostov drew 2-2 on September 16, 2023.
Goalscorers
- 16′D. UtkinFC Rostov
- 43′E. GolenkovFC Rostov
- 86′Á. HenríquezBaltika
- 90′K. BistrovićBaltika
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baltika have 7 wins, 0 draws and 8 defeats; FC Rostov have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Lokomotiv(away) | 2-3 | Premier League |
| Aug 30, 2023 | Zenit(home) | 1-0 | Cup |
| Aug 27, 2023 | Krylia Sovetov(away) | 1-2 | Premier League |
| Aug 19, 2023 | Ural(home) | 0-1 | Premier League |
| Aug 13, 2023 | Dynamo(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Dynamo(home) | 1-2 | Premier League |
| Aug 30, 2023 | Lokomotiv(home) | 2-1 | Cup |
| Aug 26, 2023 | Nizhny Novgorod(away) | 0-1 | Premier League |
| Aug 19, 2023 | FC Sochi(away) | 0-4 | Premier League |
| Aug 12, 2023 | Rubin(home) | 3-0 | Premier League |
How many goals should we expect?
Baltika score 1.4 and concede 1.3 goals per match over their last 15; FC Rostov score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltika | 1.4 | 1.3 | 4 | 7/15 | 8/15 |
| FC Rostov | 1.6 | 1.4 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Baltika sit 7th in Premier League (6 points from 4 matches) and FC Rostov sit 11th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Baltika | 4 | 2 | 0 | 2 | 6 | 5 | 6 |
| 11 | FC Rostov | 5 | 1 | 2 | 2 | 7 | 9 | 5 |
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