Kaluga vs Khimki II: result 4-2 and analysis
Second League - Group 3Group 3 - 23Kick-off on May 10, 2021 at 12:00 PM (UTC)Arena Annenki, Kaluga
Full time
What was the result of Kaluga vs Khimki II?
Kaluga won 4-2 on May 10, 2021.
Goalscorers
- 8′D. RomanyukKaluga
- 38′A. YarkinKaluga
- 61′M. KostyaevKhimki II
- 65′M. KostyaevKhimki II
- 74′N. BurdykinKaluga
- 87′A. NovitskiyKaluga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaluga have 6 wins, 2 draws and 7 defeats; Khimki II have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2021 | Kvant(away) | 2-2 | Second League - Group 3 |
| Apr 29, 2021 | Khimik-Arsenal(home) | 3-1 | Second League - Group 3 |
| Apr 23, 2021 | Saturn Ramenskoye(home) | 1-0 | Second League - Group 3 |
| Apr 18, 2021 | Avangard Kursk(home) | 2-0 | Second League - Group 3 |
| Apr 11, 2021 | FK Sokol Saratov(away) | 2-1 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2021 | Avangard Kursk(home) | 1-1 | Second League - Group 3 |
| Apr 29, 2021 | FK Sokol Saratov(away) | 0-1 | Second League - Group 3 |
| Apr 23, 2021 | Metallurg Lipetsk(home) | 0-1 | Second League - Group 3 |
| Apr 18, 2021 | Strogino(away) | 1-2 | Second League - Group 3 |
| Apr 12, 2021 | Salyut-Belgorod(home) | 1-3 | Second League - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 0 Kaluga win(s), 0 draw(s), 1 Khimki II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2020 | Khimki II 1-0 Kaluga | Second League - Group 3 |
How many goals should we expect?
Kaluga score 1.4 and concede 1.5 goals per match over their last 15; Khimki II score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaluga | 1.4 | 1.5 | 2 | 9/15 | 8/15 |
| Khimki II | 0.9 | 2.1 | 3 | 8/15 | 8/15 |
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