Guardia Dushanbe vs Khosilot Farkhor: result 4-2 and analysis
Vysshaya LigaMatchday 9Kick-off on June 2, 2012 at 12:30 PM (UTC)
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What was the result of Guardia Dushanbe vs Khosilot Farkhor?
Guardia Dushanbe won 4-2 on June 2, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Guardia Dushanbe have 1 win, 0 draws and 14 defeats; Khosilot Farkhor have 1, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2012 | Barki Tajik(away) | 0-2 | Vysshaya Liga |
| May 19, 2012 | Ravshan(home) | 0-4 | Vysshaya Liga |
| May 16, 2012 | Istiqlol(home) | 1-6 | Vysshaya Liga |
| May 12, 2012 | Xayr(away) | 1-2 | Vysshaya Liga |
| Apr 29, 2012 | Istaravshan(away) | 0-1 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2012 | Khujand(home) | 1-0 | Vysshaya Liga |
| 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 |
How many goals should we expect?
Guardia Dushanbe score 0.4 and concede 4.2 goals per match over their last 15; Khosilot Farkhor score 0.8 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Guardia Dushanbe | 0.4 | 4.2 | 1 | 3/15 | 12/15 |
| Khosilot Farkhor | 0.8 | 2.4 | 1 | 5/8 | 6/8 |
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 | Khosilot Farkhor | 20 | 10 | 6 | 4 | 36 | 22 | 36 |
A question about Guardia Dushanbe vs Khosilot Farkhor?
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