Khosilot Farkhor vs Eskhata: result 1-0 and analysis
Vysshaya LigaRegular Season - 7Kick-off on April 29, 2023 at 12:00 PM (UTC)Stadion Farkhar, Parkhar
Full time
What was the result of Khosilot Farkhor vs Eskhata?
Khosilot Farkhor won 1-0 on April 29, 2023.
Goalscorers
- 49′?Khosilot Farkhor
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khosilot Farkhor have 2 wins, 2 draws and 11 defeats; Eskhata have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2023 | Regar-TadAZ(away) | 0-2 | Vysshaya Liga |
| Apr 16, 2023 | Khatlon(away) | 0-1 | Vysshaya Liga |
| Apr 11, 2023 | CSKA Pomir(home) | 0-0 | Vysshaya Liga |
| Apr 6, 2023 | Kuktosh(away) | 3-0 | Vysshaya Liga |
| Apr 2, 2023 | Fayzkand(home) | 2-2 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2023 | Ravshan(home) | 1-1 | Vysshaya Liga |
| Apr 15, 2023 | Regar-TadAZ(away) | 1-0 | Vysshaya Liga |
| Apr 12, 2023 | Khujand(home) | 0-1 | Vysshaya Liga |
| Apr 6, 2023 | Khatlon(away) | 2-0 | Vysshaya Liga |
| Apr 2, 2023 | CSKA Pomir(home) | 3-2 | Vysshaya Liga |
How many goals should we expect?
Khosilot Farkhor score 0.7 and concede 2.5 goals per match over their last 15; Eskhata score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khosilot Farkhor | 0.7 | 2.5 | 2 | 5/15 | 10/15 |
| Eskhata | 1.3 | 0.8 | 6 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Khosilot Farkhor sit 2nd in Vysshaya Liga (28 points from 14 matches) and Eskhata sit 9th (15 points from 14 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Khosilot Farkhor | 14 | 8 | 4 | 2 | 31 | 16 | 28 |
| 9 | Eskhata | 14 | 4 | 3 | 7 | 18 | 29 | 15 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy