Eskhata vs Istaravshan: result 2-3 and analysis
Vysshaya LigaRegular Season - 5Kick-off on May 1, 2021 at 12:00 PM (UTC)Stadion 20-letie Nezavisimosti, Khujand
Full time
What was the result of Eskhata vs Istaravshan?
Istaravshan won 2-3 on May 1, 2021.
Goalscorers
- 23′Akobir TuraevEskhata
- 35′?Istaravshan
- 59′?Eskhata
- 76′?Istaravshan
- 90′?Istaravshan
What is the recent form of both teams?
Over their last 4 matches in all competitions, Eskhata have 1 win, 2 draws and 1 defeat; Istaravshan have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2021 | Fayzkand(home) | 0-0 | Vysshaya Liga |
| Apr 11, 2021 | Kuktosh(away) | 0-1 | Vysshaya Liga |
| Apr 6, 2021 | Ravshan(home) | 1-0 | Vysshaya Liga |
| Oct 4, 2020 | Khatlon(home) | 1-1 | Vysshaya Liga |
| Sep 29, 2020 | Fayzkand(home) | 5-2 | Vysshaya Liga |
How many goals should we expect?
Eskhata score 1.5 and concede 1.3 goals per match over their last 4; Istaravshan score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eskhata | 1.5 | 1.3 | 0 | 4/4 | 2/4 |
| Istaravshan | 1.7 | 1.2 | 5 | 9/15 | 8/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Eskhata sit 9th in Vysshaya Liga (19 points from 17 matches) and Istaravshan sit 12th (6 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Eskhata | 17 | 5 | 4 | 8 | 22 | 32 | 19 |
| 12 | Istaravshan | 18 | 0 | 6 | 12 | 15 | 36 | 6 |
A question about Eskhata vs Istaravshan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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