Krasnyy-SGAFKST vs Fakel II: result 0-1 and analysis
Second League - Group 3Group 3 - 16Kick-off on April 2, 2021 at 03:00 PM (UTC)
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What was the result of Krasnyy-SGAFKST vs Fakel II?
Fakel II won 0-1 on April 2, 2021.
Goalscorers
- 15′166855Fakel II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krasnyy-SGAFKST have 6 wins, 4 draws and 5 defeats; Fakel II have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | Avangard Kursk(away) | 3-4 | Second League - Group 3 |
| Nov 3, 2020 | FK Sokol Saratov(home) | 0-1 | Second League - Group 3 |
| Oct 29, 2020 | Metallurg Vidnoye(away) | 4-1 | Second League - Group 3 |
| Oct 24, 2020 | Sakhalin(away) | 0-4 | Second League - Group 3 |
| Oct 19, 2020 | Khimki II(away) | 2-1 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | Strogino(home) | 1-2 | Second League - Group 3 |
| Nov 4, 2020 | Salyut-Belgorod(away) | 0-3 | Second League - Group 3 |
| Oct 29, 2020 | Znamya Noginsk(home) | 0-1 | Second League - Group 3 |
| Oct 24, 2020 | Saturn Ramenskoye(away) | 0-2 | Second League - Group 3 |
| Oct 18, 2020 | Kaluga(away) | 1-4 | Second League - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 1 Krasnyy-SGAFKST win(s), 0 draw(s), 0 Fakel II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2020 | Fakel II 1-2 Krasnyy-SGAFKST | Second League - Group 3 |
Last archived meeting: Fakel II vs Krasnyy-SGAFKST on Aug 15, 2020
How many goals should we expect?
Krasnyy-SGAFKST score 1.4 and concede 1.1 goals per match over their last 15; Fakel II score 0.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krasnyy-SGAFKST | 1.4 | 1.1 | 4 | 7/15 | 7/15 |
| Fakel II | 0.7 | 2.2 | 1 | 6/15 | 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