Smorgon vs Naftan: result 1-1 and analysis
1. DivisionRegular Season - 28Kick-off on October 27, 2018 at 11:00 AM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Naftan?
Smorgon and Naftan drew 1-1 on October 27, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 3 wins, 5 draws and 7 defeats; Naftan have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | YuA-Stroy-DYuSSh(away) | 0-1 | 1. Division |
| Oct 13, 2018 | Granit(home) | 0-0 | 1. Division |
| Oct 6, 2018 | FC Energetik-Bgu Minsk(away) | 0-3 | 1. Division |
| Sep 29, 2018 | Volna(home) | 0-0 | 1. Division |
| Sep 22, 2018 | Slonim(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Lokomotiv Gomel(home) | 1-1 | 1. Division |
| Oct 13, 2018 | Slavia Mozyr(away) | 0-4 | 1. Division |
| Oct 6, 2018 | Khimik Svetlogorsk(home) | 1-0 | 1. Division |
| Sep 29, 2018 | Čist́(away) | 3-1 | 1. Division |
| Sep 22, 2018 | Orsha(home) | 1-0 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Smorgon wins, 0 draws, 1 Naftan win.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2018 | Naftan 1-0 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 0.6 and concede 1.6 goals per match over their last 15; Naftan score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 0.6 | 1.6 | 4 | 4/15 | 6/15 |
| Naftan | 1.0 | 0.8 | 6 | 5/15 | 4/15 |
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 Naftan?
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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