YuA-Stroy-DYuSSh vs Lyuban': result 1-2 and analysis
2. DivisionRegular Season - 18Kick-off on September 2, 2017 at 01:00 PM (UTC)Stadyen Haradski, Zhitkovichi
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What was the result of YuA-Stroy-DYuSSh vs Lyuban'?
Lyuban' won 1-2 on September 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YuA-Stroy-DYuSSh have 10 wins, 5 draws and 0 defeats; Lyuban' have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Sbornaya TF(away) | 4-0 | 2. Division |
| Aug 19, 2017 | Oshmyany(home) | 0-0 | 2. Division |
| Aug 12, 2017 | Sputnik(home) | 2-0 | 2. Division |
| Aug 5, 2017 | Čist́(home) | 1-0 | 2. Division |
| Jul 19, 2017 | Uzda(away) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Kletsk(home) | 1-1 | 2. Division |
| Aug 20, 2017 | SDJuShOR-3(away) | 4-3 | 2. Division |
| Aug 12, 2017 | SDJuShOR-8(home) | 1-0 | 2. Division |
| Aug 5, 2017 | Sbornaya TF(home) | 3-2 | 2. Division |
| Jul 22, 2017 | Sbornaya TF(away) | 0-3 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 YuA-Stroy-DYuSSh win(s), 0 draw(s), 2 Lyuban' win(s).
| Date | Score | Competition |
|---|---|---|
| May 21, 2017 | Lyuban' 0-2 YuA-Stroy-DYuSSh | 2. Division |
| Jul 24, 2015 | Lyuban' 3-0 YuA-Stroy-DYuSSh | 2. Division |
| May 2, 2015 | YuA-Stroy-DYuSSh 0-2 Lyuban' | 2. Division |
Last archived meeting: Lyuban' vs YuA-Stroy-DYuSSh on May 21, 2017
How many goals should we expect?
YuA-Stroy-DYuSSh score 2.3 and concede 0.5 goals per match over their last 15; Lyuban' score 1.6 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YuA-Stroy-DYuSSh | 2.3 | 0.5 | 8 | 7/15 | 5/15 |
| Lyuban' | 1.6 | 2.9 | 1 | 9/15 | 10/15 |
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