Krasnyy-SGAFKST vs Kaluga: result 0-1 and analysis
Second League - Group 3Group 3 - 1Kick-off on August 9, 2020 at 02:00 PM (UTC)
Full time
What was the result of Krasnyy-SGAFKST vs Kaluga?
Kaluga won 0-1 on August 9, 2020.
Goalscorers
- 7′200411Kaluga (pen.)
Official lineup for Krasnyy-SGAFKST vs Kaluga
The starting elevens fielded at kick-off.
Krasnyy-SGAFKST
- VVasili Meshkovskiy
- KKirill Volchkov
- VV. Korneev
- AAleksandr Bachevskiy
- AAmir Nurullin
- YY. Marin
- II. Zhachkin
- II. Fedorov
- KKirill Plotnikov
- MM. Bokoev
- PP. Kovalev
Kaluga
- VV. Gevlich
- AA. Akhilgov
- NN. Sukhanov
- AA. Volgin
- SS. Khrapov
- DD. Baranov
- AA. Churinov
- SSergey Avagimyan
- AA. Novitskiy
- DD. Demin
- MMikhail Borodko
What is the recent form of both teams?
Over their last 3 matches in all competitions, Krasnyy-SGAFKST have 1 win, 0 draws and 2 defeats; Kaluga have 2, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2020 | Luki-Energiya(home) | 0-3 | Cup |
| Aug 5, 2019 | Veles(away) | 1-2 | Cup |
| Jul 28, 2019 | Zvezda St. Petersburg(home) | 5-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2020 | Smolensk(home) | 3-2 | Cup |
| Jul 26, 2020 | Irtysh Omsk(away) | 0-1 | Friendlies Clubs |
| Jul 10, 2020 | Chertanovo Moscow(away) | 0-3 | Friendlies Clubs |
| Mar 10, 2020 | Lada Dimitrovgrad(home) | 0-0 | Friendlies Clubs |
| Mar 7, 2020 | Luki-Energiya(away) | 2-2 | Friendlies Clubs |
How many goals should we expect?
Krasnyy-SGAFKST score 2.0 and concede 1.7 goals per match over their last 3; Kaluga score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krasnyy-SGAFKST | 2.0 | 1.7 | 1 | 1/3 | 3/3 |
| Kaluga | 1.3 | 1.8 | 3 | 3/9 | 4/9 |
Over the last 3 matches in all competitions.
A question about Krasnyy-SGAFKST vs Kaluga?
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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