FK Sokol Saratov vs Kaluga: result 1-2 and analysis
Second League - Group 3Group 3 - 18Kick-off on April 11, 2021 at 11:00 AM (UTC)Stadion Lokomotiv, Saratov
Full time
What was the result of FK Sokol Saratov vs Kaluga?
Kaluga won 1-2 on April 11, 2021.
Goalscorers
- 45′A. PerchenokFK Sokol Saratov
- 72′A. YarkinKaluga (pen.)
- 77′N. SukhanovKaluga
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Sokol Saratov have 6 wins, 4 draws and 5 defeats; Kaluga have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2021 | Salyut-Belgorod(away) | 0-0 | Second League - Group 3 |
| Apr 1, 2021 | Kvant(away) | 1-0 | Second League - Group 3 |
| Feb 27, 2021 | Urozhay(home) | 1-2 | Friendlies Clubs |
| Nov 8, 2020 | Ryazan(home) | 0-2 | Second League - Group 3 |
| Nov 3, 2020 | Krasnyy-SGAFKST(away) | 1-0 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2021 | Fakel II(away) | 0-1 | Second League - Group 3 |
| Apr 1, 2021 | Ryazan(away) | 0-2 | Second League - Group 3 |
| Mar 9, 2021 | Luki-Energiya(home) | 0-1 | Friendlies Clubs |
| Mar 5, 2021 | Novosibirsk(away) | 1-4 | Friendlies Clubs |
| Feb 14, 2021 | Kuban Kholding(away) | 0-1 | Friendlies Clubs |
What does the head-to-head say?
Across the last 1 meetings: 1 FK Sokol Saratov win(s), 0 draw(s), 0 Kaluga win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2020 | Kaluga 1-2 FK Sokol Saratov | Second League - Group 3 |
Last archived meeting: Kaluga vs FK Sokol Saratov on Sep 27, 2020
How many goals should we expect?
FK Sokol Saratov score 1.0 and concede 0.9 goals per match over their last 15; Kaluga score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Sokol Saratov | 1.0 | 0.9 | 8 | 5/15 | 5/15 |
| Kaluga | 1.2 | 1.6 | 1 | 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