Ruh Brest vs Sputnik: result 2-2 and analysis
1. DivisionRegular Season - 30Kick-off on November 23, 2019 at 11:00 AM (UTC)Stadyen DASK Brestski, Brest
Full time
What was the result of Ruh Brest vs Sputnik?
Ruh Brest and Sputnik drew 2-2 on November 23, 2019.
Goalscorers
- 13′Y. MuzychenkoSputnik
- 32′P. SedkoRuh Brest
- 72′N. ZagvozdinSputnik
- 75′V. YasyukevichRuh Brest
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ruh Brest have 8 wins, 5 draws and 2 defeats; Sputnik have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Volna(away) | 4-2 | 1. Division |
| Nov 9, 2019 | Granit(home) | 1-0 | 1. Division |
| Nov 2, 2019 | Smolevichi-Sti(away) | 0-0 | 1. Division |
| Oct 30, 2019 | Lokomotiv Gomel(away) | 2-0 | 1. Division |
| Oct 26, 2019 | Slonim(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | NFK Minsk(home) | 0-2 | 1. Division |
| Nov 9, 2019 | Lida(away) | 0-1 | 1. Division |
| Nov 2, 2019 | Orsha(home) | 3-3 | 1. Division |
| Oct 26, 2019 | Belshina(away) | 2-5 | 1. Division |
| Oct 19, 2019 | Naftan(home) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Ruh Brest win(s), 2 draw(s), 0 Sputnik win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 20, 2019 | Sputnik 2-2 Ruh Brest | 1. Division |
| Oct 6, 2018 | Sputnik 0-0 Ruh Brest | 2. Division |
| Jun 23, 2018 | Ruh Brest 2-0 Sputnik | 2. Division |
How many goals should we expect?
Ruh Brest score 1.8 and concede 0.9 goals per match over their last 15; Sputnik score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ruh Brest | 1.8 | 0.9 | 6 | 7/15 | 7/15 |
| Sputnik | 1.7 | 1.7 | 5 | 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