Sakhalin vs Kaluga: result 1-1 and analysis
Second League - Group 3Group 3 - 24Kick-off on May 15, 2021 at 06:00 AM (UTC)Stadion Spartak, Yuzhno-Sakhalinsk
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What was the result of Sakhalin vs Kaluga?
Sakhalin and Kaluga drew 1-1 on May 15, 2021.
Goalscorers
- 62′200411Kaluga
- 77′E. MatrakhovSakhalin (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sakhalin have 3 wins, 3 draws and 9 defeats; Kaluga have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2021 | Avangard Kursk(home) | 0-1 | Second League - Group 3 |
| May 3, 2021 | FK Sokol Saratov(home) | 1-1 | Second League - Group 3 |
| Apr 29, 2021 | Metallurg Vidnoye(home) | 3-2 | Second League - Group 3 |
| Apr 23, 2021 | Strogino(away) | 0-4 | Second League - Group 3 |
| Apr 18, 2021 | Salyut-Belgorod(away) | 1-2 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2021 | Khimki II(home) | 4-2 | Second League - Group 3 |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Sakhalin win(s), 0 draw(s), 1 Kaluga win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2020 | Kaluga 3-1 Sakhalin | Second League - Group 3 |
How many goals should we expect?
Sakhalin score 0.8 and concede 1.5 goals per match over their last 15; Kaluga score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sakhalin | 0.8 | 1.5 | 3 | 5/15 | 6/15 |
| Kaluga | 1.4 | 1.5 | 2 | 9/15 | 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