Barki Tajik vs Xayr: result 2-0 and analysis
Vysshaya LigaRegular Season - 10Kick-off on May 22, 2011 at 12:00 PM (UTC)Republican Central Stadium, Dushanbe
Full time
What was the result of Barki Tajik vs Xayr?
Barki Tajik won 2-0 on May 22, 2011.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Barki Tajik have 4 wins, 1 draw and 3 defeats; Xayr have 4, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2011 | CSKA Pomir(home) | 3-2 | Vysshaya Liga |
| May 13, 2011 | Ravshan(away) | 0-2 | Vysshaya Liga |
| May 9, 2011 | Khatlon(away) | 1-0 | Vysshaya Liga |
| May 4, 2011 | Khujand(home) | 0-2 | Vysshaya Liga |
| May 1, 2011 | Parvoz(home) | 5-1 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2011 | Regar-TadAZ(away) | 0-1 | Vysshaya Liga |
| May 11, 2011 | Shodmon Gissar(home) | 1-1 | Vysshaya Liga |
| Apr 30, 2011 | Guardia Dushanbe(home) | 3-0 | Vysshaya Liga |
| Apr 25, 2011 | Khatlon(away) | 1-0 | Vysshaya Liga |
| Apr 21, 2011 | Ravshan(away) | 1-1 | Vysshaya Liga |
How many goals should we expect?
Barki Tajik score 1.5 and concede 1.5 goals per match over their last 8; Xayr score 1.4 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barki Tajik | 1.5 | 1.5 | 2 | 3/8 | 4/8 |
| Xayr | 1.4 | 0.4 | 4 | 2/7 | 2/7 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Barki Tajik | 17 | 7 | 3 | 7 | 24 | 25 | 24 |
A question about Barki Tajik vs Xayr?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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