Khosilot Farkhor vs Khujand: result 1-0 and analysis
Vysshaya LigaRegular Season - 8Kick-off on May 26, 2012 at 12:00 PM (UTC)Stadion Farkhar, Parkhar
Full time
What was the result of Khosilot Farkhor vs Khujand?
Khosilot Farkhor won 1-0 on May 26, 2012.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Khosilot Farkhor have 0 wins, 0 draws and 7 defeats; Khujand have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2012 | Barki Tajik(away) | 0-4 | Vysshaya Liga |
| May 13, 2012 | Regar-TadAZ(home) | 1-2 | Vysshaya Liga |
| May 6, 2012 | Ravshan(away) | 1-2 | Vysshaya Liga |
| Apr 28, 2012 | Khatlon(home) | 0-2 | Vysshaya Liga |
| Apr 22, 2012 | Xayr(away) | 1-2 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2012 | Regar-TadAZ(away) | 0-2 | Vysshaya Liga |
| May 13, 2012 | Khatlon(home) | 1-0 | Vysshaya Liga |
| May 4, 2012 | CSKA Pomir(away) | 1-3 | Vysshaya Liga |
| Apr 22, 2012 | Parvoz(away) | 3-2 | Vysshaya Liga |
| Apr 15, 2012 | Guardia Dushanbe(home) | 4-1 | Vysshaya Liga |
How many goals should we expect?
Khosilot Farkhor score 0.7 and concede 2.7 goals per match over their last 7; Khujand score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khosilot Farkhor | 0.7 | 2.7 | 0 | 5/7 | 6/7 |
| Khujand | 1.7 | 1.7 | 3 | 9/15 | 12/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Khosilot Farkhor sit 3rd in Vysshaya Liga (36 points from 20 matches) and Khujand sit 6th (29 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Khosilot Farkhor | 20 | 10 | 6 | 4 | 36 | 22 | 36 |
| 6 | Khujand | 20 | 7 | 8 | 5 | 18 | 14 | 29 |
A question about Khosilot Farkhor vs Khujand?
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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