Ahal vs Khujand: result 1-0 and analysis
AFC Champions League TwoPlay-offs RoundKick-off on February 13, 2018 at 10:00 AM (UTC)Ahal Stadium, Abadan
Full time
What was the result of Ahal vs Khujand?
Ahal won 1-0 on February 13, 2018.
Goalscorers
- 18′M. AnnaýewAhal (pen.)
Official lineup for Ahal vs Khujand
The starting elevens fielded at kick-off.
Ahal
- 9Suleyman Muhadow
- 11D. Durdyýew
- 19B. Akmamedov
- 7M. Annaýew
- 10Guvanch Abylov
- 18D. Hajyýew
- 21Ylyasov Wezirgeldi
- 2G. Annagulyýew
- 3G. Ashirov
- 26H. Hojovov
- 1B. Babaýew
Khujand
- 20Agbley Jones
- 62J. Ergashev
- 8E. Boboev
- 9Karomatullo Saidov
- 21Khikmatullo Rasulov
- 26S. Chebotarev
- 5F. Chakalov
- 19Khurshed Beknazarov
- 22Manuchehr Akhmedov
- 24Dalerdzhon Tukhtasunov
- 88A. Matrossov
What is the recent form of both teams?
Over their last 2 matches in all competitions, Ahal have 1 win, 1 draw and 0 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 |
|---|---|---|---|
| Jan 30, 2018 | Dordoi Bishkek(home) | 2-2 | AFC Champions League Two |
| Jan 23, 2018 | Dordoi Bishkek(away) | 3-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2017 | Istiqlol(away) | 4-5 | Vysshaya Liga |
| Oct 21, 2017 | Khatlon(home) | 1-1 | Vysshaya Liga |
| Oct 18, 2017 | Barki Tajik(home) | 2-0 | Vysshaya Liga |
| Sep 23, 2017 | Khosilot Farkhor(away) | 4-0 | Vysshaya Liga |
| Sep 17, 2017 | Regar-TadAZ(home) | 3-2 | Vysshaya Liga |
How many goals should we expect?
Ahal score 2.5 and concede 1.5 goals per match over their last 2; Khujand score 2.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ahal | 2.5 | 1.5 | 0 | 2/2 | 2/2 |
| Khujand | 2.3 | 1.2 | 6 | 7/15 | 10/15 |
Over the last 2 matches in all competitions.
A question about Ahal vs Khujand?
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