Xayr vs Khatlon: result 2-1 and analysis
Vysshaya LigaRegular Season - 18Kick-off on June 22, 2011 at 12:30 PM (UTC)
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What was the result of Xayr vs Khatlon?
Xayr won 2-1 on June 22, 2011.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Xayr have 8 wins, 2 draws and 4 defeats; Khatlon have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2011 | Guardia Dushanbe(away) | 5-1 | Vysshaya Liga |
| Jun 9, 2011 | Shodmon Gissar(away) | 2-0 | Vysshaya Liga |
| Jun 6, 2011 | Istiqlol(away) | 1-3 | Vysshaya Liga |
| Jun 3, 2011 | Regar-TadAZ(home) | 0-3 | Vysshaya Liga |
| May 31, 2011 | Barki Tajik(home) | 4-2 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2011 | Istiqlol(home) | 1-0 | Vysshaya Liga |
| Jun 14, 2011 | Shodmon Gissar(home) | 1-1 | Vysshaya Liga |
| Jun 9, 2011 | Barki Tajik(away) | 1-0 | Vysshaya Liga |
| Jun 3, 2011 | Khujand(home) | 2-0 | Vysshaya Liga |
| May 31, 2011 | Parvoz(home) | 1-0 | Vysshaya Liga |
What does the head-to-head say?
In the last meeting: 1 Xayr win, 0 draws, 0 Khatlon wins.
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2011 | Khatlon 0-1 Xayr | Vysshaya Liga |
How many goals should we expect?
Xayr score 1.8 and concede 1.0 goals per match over their last 14; Khatlon score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Xayr | 1.8 | 1.0 | 6 | 5/14 | 7/14 |
| Khatlon | 1.0 | 1.1 | 6 | 6/15 | 6/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Khatlon | 17 | 4 | 8 | 5 | 24 | 24 | 20 |
A question about Xayr vs Khatlon?
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