Istaravshan vs Khujand: result 1-2 and analysis
Vysshaya LigaRegular Season - 10Kick-off on June 10, 2012 at 12:30 PM (UTC)Stadion Rodnik, Nay
Full time
What was the result of Istaravshan vs Khujand?
Khujand won 1-2 on June 10, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Istaravshan have 3 wins, 2 draws and 3 defeats; Khujand have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2012 | Regar-TadAZ(away) | 1-5 | Vysshaya Liga |
| May 26, 2012 | Khatlon(home) | 2-1 | Vysshaya Liga |
| May 20, 2012 | CSKA Pomir(away) | 1-1 | Vysshaya Liga |
| May 5, 2012 | Parvoz(away) | 2-2 | Vysshaya Liga |
| Apr 29, 2012 | Guardia Dushanbe(home) | 1-0 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2012 | Zarafshon Panjakent(home) | 5-2 | Vysshaya Liga |
| May 26, 2012 | Khosilot Farkhor(away) | 0-1 | Vysshaya Liga |
| 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 |
How many goals should we expect?
Istaravshan score 1.6 and concede 2.1 goals per match over their last 8; Khujand score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Istaravshan | 1.6 | 2.1 | 1 | 7/8 | 6/8 |
| Khujand | 2.1 | 1.5 | 3 | 10/15 | 12/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Istaravshan sit 12th in Vysshaya Liga (6 points from 18 matches) and Khujand sit 5th (27 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Khujand | 17 | 7 | 6 | 4 | 16 | 11 | 27 |
| 12 | Istaravshan | 18 | 0 | 6 | 12 | 15 | 36 | 6 |
A question about Istaravshan 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