Lida vs FC Vitebsk: result 1-1 and analysis
1. DivisionRegular Season - 4Kick-off on May 11, 2013 at 02:00 PM (UTC)Stadyen Start, Lida
Full time
What was the result of Lida vs FC Vitebsk?
Lida and FC Vitebsk drew 1-1 on May 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 6 wins, 2 draws and 7 defeats; FC Vitebsk have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Smolevichi-Sti(away) | 3-0 | 1. Division |
| Apr 27, 2013 | SKVICH(home) | 3-0 | 1. Division |
| Apr 20, 2013 | Slonim(away) | 2-2 | 1. Division |
| Nov 17, 2012 | Volna(away) | 0-1 | 1. Division |
| Nov 3, 2012 | FC Vitebsk(home) | 0-5 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Granit(home) | 0-0 | 1. Division |
| Apr 27, 2013 | FC Isloch Minsk R.(away) | 1-2 | 1. Division |
| Apr 20, 2013 | Polotsk(home) | 2-1 | 1. Division |
| Nov 17, 2012 | FC Slutsk(away) | 1-0 | 1. Division |
| Nov 10, 2012 | Volna(home) | 4-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Lida wins, 0 draws, 2 FC Vitebsk wins.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2012 | Lida 0-5 FC Vitebsk | 1. Division |
| Jul 8, 2012 | FC Vitebsk 2-0 Lida | 1. Division |
How many goals should we expect?
Lida score 1.5 and concede 2.0 goals per match over their last 15; FC Vitebsk score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.5 | 2.0 | 5 | 6/15 | 11/15 |
| FC Vitebsk | 2.3 | 1.0 | 6 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Lida | 31 | 21 | 3 | 7 | 57 | 44 | 66 |
A question about Lida vs FC Vitebsk?
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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