Lida vs Baranovichi: result 1-1 and analysis
1. DivisionRegular Season - 7Kick-off on May 28, 2016 at 02:00 PM (UTC)Stadyen Start, Lida
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What was the result of Lida vs Baranovichi?
Lida and Baranovichi drew 1-1 on May 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 6 wins, 1 draw and 8 defeats; Baranovichi have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | FC Gomel(away) | 0-2 | 1. Division |
| May 14, 2016 | Khimik Svetlogorsk(home) | 2-1 | 1. Division |
| May 7, 2016 | Fc Luch Minsk(away) | 1-0 | 1. Division |
| Apr 30, 2016 | FC Dnepr Mogilev(home) | 0-1 | 1. Division |
| Apr 23, 2016 | Orsha(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Lokomotiv Gomel(home) | 0-0 | 1. Division |
| May 15, 2016 | FC Gomel(away) | 1-4 | 1. Division |
| May 8, 2016 | Smorgon(home) | 3-3 | 1. Division |
| Apr 30, 2016 | Khimik Svetlogorsk(away) | 2-2 | 1. Division |
| Apr 24, 2016 | Torpedo Minsk(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Lida win, 1 draw, 0 Baranovichi wins.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2015 | Lida 0-0 Baranovichi | 1. Division |
| Jun 28, 2015 | Baranovichi 0-3 Lida | 1. Division |
How many goals should we expect?
Lida score 1.2 and concede 1.9 goals per match over their last 15; Baranovichi score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.2 | 1.9 | 4 | 5/15 | 8/15 |
| Baranovichi | 0.9 | 1.5 | 4 | 7/15 | 7/15 |
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 Baranovichi?
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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