Dushanbe-83 vs Fayzkand: result 1-1 and analysis
Vysshaya LigaRegular Season - 11Kick-off on June 27, 2021 at 12:30 PM (UTC)
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What was the result of Dushanbe-83 vs Fayzkand?
Dushanbe-83 and Fayzkand drew 1-1 on June 27, 2021.
Goalscorers
- 24′?Dushanbe-83
- 72′?Fayzkand
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dushanbe-83 have 3 wins, 6 draws and 6 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 |
|---|---|---|---|
| Jun 20, 2021 | Eskhata(away) | 1-3 | Vysshaya Liga |
| May 25, 2021 | Eskhata(home) | 1-2 | Vysshaya Liga |
| May 21, 2021 | Fayzkand(away) | 2-2 | Vysshaya Liga |
| May 16, 2021 | Istaravshan(home) | 1-1 | Vysshaya Liga |
| May 8, 2021 | Kuktosh(away) | 2-2 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 21, 2021 | Dushanbe-83(home) | 2-2 | Vysshaya Liga |
| May 9, 2021 | Eskhata(home) | 1-3 | Vysshaya Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Dushanbe-83 win(s), 3 draw(s), 0 Fayzkand win(s).
| Date | Score | Competition |
|---|---|---|
| May 21, 2021 | Fayzkand 2-2 Dushanbe-83 | Vysshaya Liga |
| Sep 19, 2020 | Fayzkand 1-1 Dushanbe-83 | Vysshaya Liga |
| Apr 18, 2020 | Dushanbe-83 0-0 Fayzkand | Vysshaya Liga |
Last archived meeting: Fayzkand vs Dushanbe-83 on May 21, 2021
How many goals should we expect?
Dushanbe-83 score 1.4 and concede 1.9 goals per match over their last 15; Fayzkand score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dushanbe-83 | 1.4 | 1.9 | 2 | 13/15 | 10/15 |
| Fayzkand | 0.9 | 1.3 | 5 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
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