Smorgon vs Zorka-BDU: result 2-3 and analysis
1. DivisionRegular Season - 29Kick-off on November 15, 2014 at 11:00 AM (UTC)Stadyen Junatstva, Kobrin
Full time
What was the result of Smorgon vs Zorka-BDU?
Zorka-BDU won 2-3 on November 15, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 7 wins, 6 draws and 2 defeats; Zorka-BDU have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2014 | Volna(away) | 1-1 | 1. Division |
| Nov 1, 2014 | Lida(home) | 2-0 | 1. Division |
| Oct 25, 2014 | Slavia Mozyr(away) | 0-1 | 1. Division |
| Oct 18, 2014 | Gorodeya(home) | 1-1 | 1. Division |
| Oct 11, 2014 | Sputnik(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2014 | Granit(home) | 0-1 | 1. Division |
| Nov 1, 2014 | Slonim(away) | 1-2 | 1. Division |
| Oct 25, 2014 | FC Vitebsk(away) | 1-3 | 1. Division |
| Oct 18, 2014 | Volna(home) | 1-0 | 1. Division |
| Oct 11, 2014 | Lida(away) | 3-2 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Smorgon wins, 1 draw, 0 Zorka-BDU wins.
| Date | Score | Competition |
|---|---|---|
| Jul 12, 2014 | Zorka-BDU 1-1 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 1.3 and concede 0.8 goals per match over their last 15; Zorka-BDU score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.3 | 0.8 | 5 | 9/15 | 5/15 |
| Zorka-BDU | 1.3 | 1.0 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Smorgon | 29 | 11 | 6 | 12 | 36 | 36 | 39 |
A question about Smorgon vs Zorka-BDU?
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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