Lida vs Granit: result 1-3 and analysis
1. DivisionRegular Season - 26Kick-off on October 26, 2013 at 11:00 AM (UTC)Stadyen Start, Lida
Full time
What was the result of Lida vs Granit?
Granit won 1-3 on October 26, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 8 wins, 2 draws and 5 defeats; Granit 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 19, 2013 | FC Isloch Minsk R.(away) | 1-2 | 1. Division |
| Oct 12, 2013 | Polotsk(home) | 5-0 | 1. Division |
| Oct 5, 2013 | Volna(away) | 3-2 | 1. Division |
| Sep 28, 2013 | FC Slutsk(home) | 1-3 | 1. Division |
| Sep 21, 2013 | Sputnik(away) | 3-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2013 | Minsk II(home) | 0-0 | 1. Division |
| Oct 12, 2013 | FC Isloch Minsk R.(home) | 3-1 | 1. Division |
| Oct 5, 2013 | Polotsk(away) | 4-0 | 1. Division |
| Sep 28, 2013 | Volna(home) | 2-1 | 1. Division |
| Sep 21, 2013 | FC Slutsk(away) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Lida wins, 0 draws, 3 Granit wins.
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2013 | Granit 2-0 Lida | 1. Division |
| Aug 18, 2012 | Granit 2-1 Lida | 1. Division |
| Apr 28, 2012 | Lida 0-1 Granit | 1. Division |
How many goals should we expect?
Lida score 1.8 and concede 1.4 goals per match over their last 15; Granit score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.8 | 1.4 | 5 | 8/15 | 10/15 |
| Granit | 1.7 | 0.9 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lida | 28 | 18 | 3 | 7 | 52 | 43 | 57 |
A question about Lida vs Granit?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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