Fayzkand vs Dushanbe-83: result 2-2 and analysis
Vysshaya LigaRegular Season - 8Kick-off on May 21, 2021 at 12:00 PM (UTC)Stadion im. Langari Langarieva, Kulyab
Full time
What was the result of Fayzkand vs Dushanbe-83?
Fayzkand and Dushanbe-83 drew 2-2 on May 21, 2021.
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; Dushanbe-83 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 |
|---|---|---|---|
| May 9, 2021 | Eskhata(home) | 1-3 | Vysshaya Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Istaravshan(home) | 1-1 | Vysshaya Liga |
| May 8, 2021 | Kuktosh(away) | 2-2 | Vysshaya Liga |
| May 1, 2021 | Ravshan(home) | 4-2 | Vysshaya Liga |
| Apr 24, 2021 | CSKA Pomir(away) | 1-3 | Vysshaya Liga |
| Apr 17, 2021 | Khatlon(home) | 1-0 | Vysshaya Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Fayzkand wins, 2 draws, 0 Dushanbe-83 wins.
| Date | Score | Competition |
|---|---|---|
| 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 Sep 19, 2020
How many goals should we expect?
Fayzkand score 0.9 and concede 1.4 goals per match over their last 15; Dushanbe-83 score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fayzkand | 0.9 | 1.4 | 5 | 7/15 | 6/15 |
| Dushanbe-83 | 1.4 | 1.7 | 3 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Fayzkand vs Dushanbe-83?
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