Fayzkand vs Khujand: result 0-3 and analysis
Vysshaya LigaRegular Season - 6Kick-off on June 20, 2020 at 12:30 PM (UTC)Stadion im. Langari Langarieva, Kulyab
Full time
What was the result of Fayzkand vs Khujand?
Khujand won 0-3 on June 20, 2020.
Goalscorers
- 5′?Khujand
- 63′?Khujand
- 90′A. SafarovKhujand
What is the recent form of both teams?
Over their last 5 matches in all competitions, Fayzkand have 2 wins, 3 draws 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 |
|---|---|---|---|
| Jun 16, 2020 | CSKA Pomir(away) | 1-1 | Vysshaya Liga |
| Apr 25, 2020 | Istaravshan(home) | 2-1 | Vysshaya Liga |
| Apr 18, 2020 | Dushanbe-83(away) | 0-0 | Vysshaya Liga |
| Apr 11, 2020 | Regar-TadAZ(home) | 3-2 | Vysshaya Liga |
| Apr 5, 2020 | Lokomotive Pamir(away) | 2-2 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2020 | Istaravshan(away) | 2-1 | Vysshaya Liga |
| Apr 26, 2020 | Regar-TadAZ(home) | 2-1 | Vysshaya Liga |
| Apr 22, 2020 | Kuktosh(away) | 1-1 | Vysshaya Liga |
| Apr 12, 2020 | Khatlon(home) | 2-3 | Vysshaya Liga |
| Apr 8, 2020 | CSKA Pomir(away) | 3-1 | Vysshaya Liga |
How many goals should we expect?
Fayzkand score 1.6 and concede 1.2 goals per match over their last 5; Khujand score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fayzkand | 1.6 | 1.2 | 1 | 4/5 | 3/5 |
| Khujand | 1.7 | 1.0 | 4 | 8/15 | 9/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Khujand | 17 | 7 | 6 | 4 | 16 | 11 | 27 |
A question about Fayzkand 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