YuA-Stroy-DYuSSh vs Čist́: prediction and stats
2. DivisionRegular Season - 1Kick-off on April 20, 2019 at 12:00 AM (UTC)Stadyen Haradski, Zhitkovichi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, YuA-Stroy-DYuSSh have 2 wins, 4 draws and 9 defeats; Čist́ have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | FC Energetik-Bgu Minsk(away) | 1-5 | 1. Division |
| Nov 3, 2018 | Volna(home) | 1-2 | 1. Division |
| Oct 27, 2018 | Slonim(away) | 0-0 | 1. Division |
| Oct 20, 2018 | Smorgon(home) | 1-0 | 1. Division |
| Oct 13, 2018 | Lokomotiv Gomel(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | Khimik Svetlogorsk(away) | 0-3 | 1. Division |
| Oct 27, 2018 | Orsha(home) | 2-3 | 1. Division |
| Oct 20, 2018 | Baranovichi(away) | 1-2 | 1. Division |
| Oct 13, 2018 | Lida(home) | 1-2 | 1. Division |
| Oct 6, 2018 | Belshina(away) | 0-5 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 3 YuA-Stroy-DYuSSh win(s), 2 draw(s), 0 Čist́ win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2018 | YuA-Stroy-DYuSSh 2-2 Čist́ | 1. Division |
| May 27, 2018 | Čist́ 0-0 YuA-Stroy-DYuSSh | 1. Division |
| Sep 30, 2017 | Čist́ 0-2 YuA-Stroy-DYuSSh | 2. Division |
| Aug 5, 2017 | YuA-Stroy-DYuSSh 1-0 Čist́ | 2. Division |
| Apr 22, 2017 | Čist́ 0-1 YuA-Stroy-DYuSSh | 2. Division |
Last archived meeting: YuA-Stroy-DYuSSh vs Čist́ on Sep 22, 2018
How many goals should we expect?
YuA-Stroy-DYuSSh score 0.7 and concede 1.7 goals per match over their last 15; Čist́ score 1.2 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YuA-Stroy-DYuSSh | 0.7 | 1.7 | 3 | 8/15 | 8/15 |
| Čist́ | 1.2 | 3.3 | 0 | 11/15 | 14/15 |
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