Eskhata vs Fayzkand: result 1-0 and analysis
Vysshaya LigaRegular Season - 13Kick-off on July 11, 2021 at 12:30 PM (UTC)Stadion 20-letie Nezavisimosti, Khujand
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What was the result of Eskhata vs Fayzkand?
Eskhata won 1-0 on July 11, 2021.
Goalscorers
- 67′?Eskhata
What is the recent form of both teams?
Over their last 12 matches in all competitions, Eskhata have 5 wins, 2 draws and 5 defeats; Fayzkand have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2021 | Istiqlol(away) | 1-5 | Vysshaya Liga |
| Jun 27, 2021 | Khujand(away) | 1-5 | Vysshaya Liga |
| Jun 20, 2021 | Dushanbe-83(home) | 3-1 | Vysshaya Liga |
| Jun 6, 2021 | Khujand(home) | 3-2 | Vysshaya Liga |
| May 25, 2021 | Dushanbe-83(away) | 2-1 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2021 | Khujand(home) | 0-2 | Vysshaya Liga |
| Jun 27, 2021 | Dushanbe-83(away) | 1-1 | Vysshaya Liga |
| Jun 20, 2021 | Khatlon(home) | 1-2 | Vysshaya Liga |
| Jun 2, 2021 | Khujand(away) | 0-1 | Vysshaya Liga |
| May 25, 2021 | Khatlon(away) | 1-0 | Vysshaya Liga |
What does the head-to-head say?
In the last meeting: 1 Eskhata win, 0 draws, 0 Fayzkand wins.
| Date | Score | Competition |
|---|---|---|
| May 9, 2021 | Fayzkand 1-3 Eskhata | Vysshaya Liga |
How many goals should we expect?
Eskhata score 1.8 and concede 2.1 goals per match over their last 12; Fayzkand score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eskhata | 1.8 | 2.1 | 0 | 11/12 | 9/12 |
| Fayzkand | 0.9 | 1.3 | 5 | 7/15 | 5/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Eskhata | 18 | 5 | 5 | 8 | 23 | 33 | 20 |
A question about Eskhata vs Fayzkand?
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