Smorgon vs Oshmyany: result 1-1 and analysis
1. DivisionRegular Season - 19Kick-off on September 17, 2016 at 02:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Oshmyany?
Smorgon and Oshmyany drew 1-1 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 7 wins, 4 draws and 4 defeats; Oshmyany have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Lokomotiv Gomel(away) | 2-0 | 1. Division |
| Sep 4, 2016 | Baranovichi(home) | 4-2 | 1. Division |
| Aug 28, 2016 | Torpedo Minsk(away) | 1-0 | 1. Division |
| Aug 20, 2016 | Smolevichi-Sti(away) | 1-0 | 1. Division |
| Aug 14, 2016 | Zorka-BDU(home) | 4-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Torpedo Minsk(away) | 2-3 | 1. Division |
| Sep 3, 2016 | Smolevichi-Sti(away) | 0-4 | 1. Division |
| Aug 27, 2016 | Zorka-BDU(home) | 1-3 | 1. Division |
| Aug 20, 2016 | Slonim(away) | 0-4 | 1. Division |
| Aug 13, 2016 | Lida(home) | 0-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Smorgon wins, 0 draws, 1 Oshmyany win.
| Date | Score | Competition |
|---|---|---|
| May 22, 2016 | Oshmyany 1-0 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 1.8 and concede 1.5 goals per match over their last 15; Oshmyany score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.8 | 1.5 | 5 | 6/15 | 9/15 |
| Oshmyany | 0.9 | 2.7 | 1 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Smorgon | 28 | 10 | 6 | 12 | 35 | 36 | 36 |
A question about Smorgon vs Oshmyany?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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