Smorgon vs Orsha: result 3-0 and analysis
1. DivisionRegular Season - 7Kick-off on May 29, 2016 at 02:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Orsha?
Smorgon won 3-0 on May 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 7 wins, 3 draws and 5 defeats; Orsha have 1, 7 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Oshmyany(away) | 0-1 | 1. Division |
| May 15, 2016 | Lokomotiv Gomel(home) | 2-2 | 1. Division |
| May 8, 2016 | Baranovichi(away) | 3-3 | 1. Division |
| Apr 30, 2016 | Torpedo Minsk(home) | 1-2 | 1. Division |
| Apr 24, 2016 | Smolevichi-Sti(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Torpedo Minsk(home) | 2-2 | 1. Division |
| May 14, 2016 | Smolevichi-Sti(away) | 2-2 | 1. Division |
| May 7, 2016 | Zorka-BDU(home) | 0-0 | 1. Division |
| Apr 30, 2016 | Slonim(away) | 0-0 | 1. Division |
| Apr 23, 2016 | Lida(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Smorgon win, 1 draw, 0 Orsha wins.
| Date | Score | Competition |
|---|---|---|
| Sep 6, 2015 | Orsha 1-1 Smorgon | 1. Division |
| May 17, 2015 | Smorgon 6-0 Orsha | 1. Division |
How many goals should we expect?
Smorgon score 2.1 and concede 1.7 goals per match over their last 15; Orsha score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 2.1 | 1.7 | 4 | 10/15 | 9/15 |
| Orsha | 0.7 | 2.1 | 3 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Smorgon sit 9th in 1. Division (36 points from 28 matches) and Orsha sit 14th (27 points from 28 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Smorgon | 28 | 10 | 6 | 12 | 35 | 36 | 36 |
| 14 | Orsha | 28 | 7 | 6 | 15 | 28 | 52 | 27 |
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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