Barki Tajik vs Khosilot Farkhor: result 4-0 and analysis
Vysshaya LigaRegular Season - 7Kick-off on May 19, 2012 at 12:00 PM (UTC)Republican Central Stadium, Dushanbe
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What was the result of Barki Tajik vs Khosilot Farkhor?
Barki Tajik won 4-0 on May 19, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Barki Tajik have 5 wins, 4 draws and 6 defeats; Khosilot Farkhor have 0, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | Ravshan(away) | 0-2 | Vysshaya Liga |
| May 6, 2012 | Xayr(home) | 1-1 | Vysshaya Liga |
| Apr 29, 2012 | Istiqlol(away) | 1-1 | Vysshaya Liga |
| Apr 21, 2012 | Istaravshan(home) | 3-2 | Vysshaya Liga |
| Apr 14, 2012 | Zarafshon Panjakent(away) | 2-2 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 15, 2012 | CSKA Pomir(home) | 1-3 | Vysshaya Liga |
How many goals should we expect?
Barki Tajik score 1.7 and concede 1.9 goals per match over their last 15; Khosilot Farkhor score 0.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barki Tajik | 1.7 | 1.9 | 2 | 9/15 | 9/15 |
| Khosilot Farkhor | 0.8 | 2.5 | 0 | 5/6 | 5/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Barki Tajik sit 5th in Vysshaya Liga (29 points from 20 matches) and Khosilot Farkhor sit 3rd (36 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Khosilot Farkhor | 20 | 10 | 6 | 4 | 36 | 22 | 36 |
| 5 | Barki Tajik | 20 | 8 | 5 | 7 | 26 | 26 | 29 |
A question about Barki Tajik vs Khosilot Farkhor?
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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