YuA-Stroy-DYuSSh vs Slonim: result 1-2 and analysis
1. DivisionMatchday 13Kick-off on June 30, 2018 at 02:00 PM (UTC)Stadyen Haradski, Zhitkovichi
Full time
What was the result of YuA-Stroy-DYuSSh vs Slonim?
Slonim won 1-2 on June 30, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YuA-Stroy-DYuSSh have 7 wins, 6 draws and 2 defeats; Slonim have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2018 | Smorgon(away) | 1-1 | 1. Division |
| Jun 17, 2018 | Lokomotiv Gomel(home) | 1-1 | 1. Division |
| Jun 9, 2018 | Slavia Mozyr(away) | 0-2 | 1. Division |
| Jun 2, 2018 | Khimik Svetlogorsk(home) | 1-0 | 1. Division |
| May 27, 2018 | Čist́(away) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2018 | Granit(home) | 1-1 | 1. Division |
| Jun 17, 2018 | FC Energetik-Bgu Minsk(away) | 1-2 | 1. Division |
| Jun 9, 2018 | Volna(home) | 1-1 | 1. Division |
| May 27, 2018 | Smorgon(away) | 5-0 | 1. Division |
| May 20, 2018 | Lokomotiv Gomel(home) | 2-2 | 1. Division |
How many goals should we expect?
YuA-Stroy-DYuSSh score 1.2 and concede 0.7 goals per match over their last 15; Slonim score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YuA-Stroy-DYuSSh | 1.2 | 0.7 | 6 | 8/15 | 6/15 |
| Slonim | 1.4 | 1.1 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Slonim | 33 | 17 | 5 | 11 | 55 | 41 | 56 |
A question about YuA-Stroy-DYuSSh vs Slonim?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy