Fayzkand vs Istiqlol: result 0-4 and analysis
Vysshaya LigaRegular Season - 8Kick-off on July 4, 2020 at 12:30 PM (UTC)Stadion im. Langari Langarieva, Kulyab
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What was the result of Fayzkand vs Istiqlol?
Istiqlol won 0-4 on July 4, 2020.
Goalscorers
- 20′M. DzhalilovIstiqlol
- 24′S. BoboevIstiqlol
- 29′A. DzhalilovIstiqlol
- 43′A. DzhalilovIstiqlol
What is the recent form of both teams?
Over their last 7 matches in all competitions, Fayzkand have 2 wins, 4 draws and 1 defeat; Istiqlol have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2020 | Khatlon(away) | 1-1 | Vysshaya Liga |
| Jun 20, 2020 | Khujand(home) | 0-3 | Vysshaya Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2020 | Khujand(away) | 3-1 | Vysshaya Liga |
| Jun 20, 2020 | Istaravshan(home) | 8-0 | Vysshaya Liga |
| Jun 16, 2020 | Regar-TadAZ(away) | 6-1 | Vysshaya Liga |
| Apr 25, 2020 | Kuktosh(home) | 6-1 | Vysshaya Liga |
| Apr 19, 2020 | Khatlon(home) | 2-2 | Vysshaya Liga |
How many goals should we expect?
Fayzkand score 1.3 and concede 1.4 goals per match over their last 7; Istiqlol score 3.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fayzkand | 1.3 | 1.4 | 1 | 5/7 | 4/7 |
| Istiqlol | 3.1 | 0.9 | 6 | 8/15 | 10/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Istiqlol | 17 | 11 | 4 | 2 | 23 | 6 | 37 |
A question about Fayzkand vs Istiqlol?
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