YuA-Stroy-DYuSSh vs Uzda: prediction and stats
2. DivisionRegular Season - 20Kick-off on September 6, 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; Uzda have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2019 | NFK Minsk(home) | 0-3 | Coppa |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Oshmyany(home) | 3-6 | 2. Division |
| Aug 24, 2019 | Čist́(home) | 1-6 | 2. Division |
| Aug 17, 2019 | DYuSSh-3 Pinsk(home) | 2-0 | 2. Division |
| Aug 10, 2019 | Belshina II(home) | 6-3 | 2. Division |
| Jul 24, 2019 | Arsenal(away) | 2-1 | 2. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 YuA-Stroy-DYuSSh win(s), 1 draw(s), 4 Uzda win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2017 | YuA-Stroy-DYuSSh 3-1 Uzda | 2. Division |
| Jul 19, 2017 | Uzda 1-1 YuA-Stroy-DYuSSh | 2. Division |
| Aug 29, 2015 | Uzda 7-1 YuA-Stroy-DYuSSh | 2. Division |
| Jun 13, 2015 | YuA-Stroy-DYuSSh 0-6 Uzda | 2. Division |
| Jul 20, 2014 | YuA-Stroy-DYuSSh 2-5 Uzda | 2. Division |
| May 4, 2014 | Uzda 4-0 YuA-Stroy-DYuSSh | 2. Division |
Last archived meeting: YuA-Stroy-DYuSSh vs Uzda on Oct 21, 2017
How many goals should we expect?
YuA-Stroy-DYuSSh score 0.7 and concede 1.8 goals per match over their last 15; Uzda score 2.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YuA-Stroy-DYuSSh | 0.7 | 1.8 | 3 | 7/15 | 8/15 |
| Uzda | 2.8 | 2.3 | 3 | 10/15 | 12/15 |
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