Fayzkand vs Istaravshan: result 2-1 and analysis
Vysshaya LigaRegular Season - 4Kick-off on April 25, 2020 at 11:30 AM (UTC)Stadion im. Langari Langarieva, Kulyab
Full time
What was the result of Fayzkand vs Istaravshan?
Fayzkand won 2-1 on April 25, 2020.
Goalscorers
- 45′?Istaravshan
- 61′?Fayzkand
- 67′?Fayzkand
What is the recent form of both teams?
Over their last 3 matches in all competitions, Fayzkand have 1 win, 2 draws and 0 defeats; Istaravshan 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 |
|---|---|---|---|
| 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 |
|---|---|---|---|
| Apr 18, 2020 | Regar-TadAZ(away) | 1-4 | Vysshaya Liga |
| Apr 11, 2020 | Kuktosh(home) | 0-3 | Vysshaya Liga |
| Apr 5, 2020 | Khatlon(away) | 1-2 | Vysshaya Liga |
| Nov 4, 2019 | Khujand(away) | 1-0 | Vysshaya Liga |
| Oct 27, 2019 | Panjsher(home) | 3-0 | Vysshaya Liga |
How many goals should we expect?
Fayzkand score 1.7 and concede 1.3 goals per match over their last 3; Istaravshan score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fayzkand | 1.7 | 1.3 | 1 | 2/3 | 2/3 |
| Istaravshan | 1.3 | 1.8 | 4 | 7/15 | 10/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Istaravshan | 18 | 0 | 6 | 12 | 15 | 36 | 6 |
A question about Fayzkand vs Istaravshan?
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