Torpedo Moskva vs Baltika: result 1-0 and analysis
Cup8th FinalsKick-off on October 31, 2019 at 04:30 PM (UTC)Futbol'noe pole 1 Akademiya Spartak im. F. Cherenkova, Moskva
Full time
What was the result of Torpedo Moskva vs Baltika?
Torpedo Moskva won 1-0 on October 31, 2019.
Goalscorers
- 53′I. SergeevTorpedo Moskva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Moskva have 11 wins, 2 draws and 2 defeats; Baltika have 8, 7 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Baltika(away) | 1-1 | First League |
| Oct 23, 2019 | Chayka(home) | 2-1 | First League |
| Oct 19, 2019 | Chertanovo Moscow(home) | 0-1 | First League |
| Oct 12, 2019 | Spartak Moscow 2(away) | 3-2 | First League |
| Oct 5, 2019 | Shinnik Yaroslavl(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Torpedo Moskva(home) | 1-1 | First League |
| Oct 23, 2019 | Shinnik Yaroslavl(away) | 2-0 | First League |
| Oct 19, 2019 | FK Neftekhimik(home) | 1-0 | First League |
| Oct 12, 2019 | TOM Tomsk(away) | 0-0 | First League |
| Oct 5, 2019 | Krasnodar 2(home) | 4-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Torpedo Moskva win(s), 1 draw(s), 0 Baltika win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2019 | Baltika 1-1 Torpedo Moskva | First League |
| Jul 13, 2019 | Torpedo Moskva 2-0 Baltika | First League |
Last archived meeting: Baltika vs Torpedo Moskva on Oct 27, 2019
How many goals should we expect?
Torpedo Moskva score 2.0 and concede 1.0 goals per match over their last 15; Baltika score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Moskva | 2.0 | 1.0 | 5 | 8/15 | 7/15 |
| Baltika | 1.7 | 0.7 | 6 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
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