Fayzkand vs Eskhata: result 1-3 and analysis
Vysshaya LigaRegular Season - 6Kick-off on May 9, 2021 at 12:00 PM (UTC)Stadion im. Langari Langarieva, Kulyab
Full time
What was the result of Fayzkand vs Eskhata?
Eskhata won 1-3 on May 9, 2021.
Goalscorers
- 43′?Eskhata
- 48′?Fayzkand
- 51′?Eskhata
- 67′?Eskhata
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fayzkand have 4 wins, 5 draws and 6 defeats; Eskhata have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2021 | Istaravshan(away) | 0-0 | Vysshaya Liga |
| Apr 16, 2021 | Kuktosh(home) | 3-1 | Vysshaya Liga |
| Apr 11, 2021 | Ravshan(away) | 0-0 | Vysshaya Liga |
| Apr 4, 2021 | CSKA Pomir(home) | 1-0 | Vysshaya Liga |
| Oct 4, 2020 | Lokomotive Pamir(home) | 1-0 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2021 | Istaravshan(home) | 2-3 | Vysshaya Liga |
| Apr 25, 2021 | Kuktosh(away) | 1-2 | Vysshaya Liga |
| Apr 18, 2021 | Ravshan(home) | 1-1 | Vysshaya Liga |
| Apr 10, 2021 | CSKA Pomir(away) | 3-1 | Vysshaya Liga |
| Apr 5, 2021 | Khatlon(home) | 1-1 | Vysshaya Liga |
How many goals should we expect?
Fayzkand score 0.8 and concede 1.5 goals per match over their last 15; Eskhata score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fayzkand | 0.8 | 1.5 | 5 | 6/15 | 6/15 |
| Eskhata | 1.6 | 1.6 | 0 | 5/5 | 3/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Eskhata | 17 | 5 | 4 | 8 | 22 | 32 | 19 |
A question about Fayzkand vs Eskhata?
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