Sputnik vs Granit: result 2-0 and analysis
1. DivisionRegular Season - 8Kick-off on June 1, 2019 at 03:00 PM (UTC)Stadyen DYuSSh-8, Gomel
Full time
What was the result of Sputnik vs Granit?
Sputnik won 2-0 on June 1, 2019.
Goalscorers
- 32′V. PotorochaSputnik
- 42′V. LagutinSputnik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sputnik have 12 wins, 2 draws and 1 defeats; Granit have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Smolevichi-Sti(away) | 2-1 | 1. Division |
| May 18, 2019 | Slonim(home) | 2-0 | 1. Division |
| May 12, 2019 | Khimik Svetlogorsk(away) | 3-0 | 1. Division |
| May 5, 2019 | Baranovichi(home) | 3-1 | 1. Division |
| Apr 27, 2019 | Lokomotiv Gomel(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Volna(home) | 0-0 | 1. Division |
| May 18, 2019 | Naftan(away) | 0-0 | 1. Division |
| May 12, 2019 | Smolevichi-Sti(away) | 2-3 | 1. Division |
| May 5, 2019 | Slonim(home) | 2-0 | 1. Division |
| Apr 27, 2019 | Khimik Svetlogorsk(away) | 0-4 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 0 Sputnik win(s), 2 draw(s), 4 Granit win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2014 | Granit 1-0 Sputnik | 1. Division |
| May 31, 2014 | Sputnik 0-1 Granit | 1. Division |
| Sep 15, 2013 | Granit 3-0 Sputnik | 1. Division |
| May 18, 2013 | Sputnik 0-0 Granit | 1. Division |
| Sep 22, 2012 | Granit 2-1 Sputnik | 1. Division |
| Jun 2, 2012 | Sputnik 0-0 Granit | 1. Division |
How many goals should we expect?
Sputnik score 3.2 and concede 0.5 goals per match over their last 15; Granit score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sputnik | 3.2 | 0.5 | 10 | 4/15 | 10/15 |
| Granit | 1.0 | 1.3 | 5 | 6/15 | 6/15 |
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