Regar-TadAZ vs Dushanbe-83: result 1-2 and analysis
Vysshaya LigaRegular Season - 7Kick-off on June 28, 2020 at 12:30 PM (UTC)TALCO Arena, Tursunzoda
Full time
What was the result of Regar-TadAZ vs Dushanbe-83?
Dushanbe-83 won 1-2 on June 28, 2020.
Goalscorers
- 45′?Dushanbe-83
- 69′?Dushanbe-83
- 88′?Regar-TadAZ (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Regar-TadAZ have 6 wins, 3 draws and 6 defeats; Dushanbe-83 have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2020 | Lokomotive Pamir(away) | 2-1 | Vysshaya Liga |
| Jun 16, 2020 | Istiqlol(home) | 1-6 | Vysshaya Liga |
| Apr 26, 2020 | Khujand(away) | 1-2 | Vysshaya Liga |
| Apr 18, 2020 | Istaravshan(home) | 4-1 | Vysshaya Liga |
| Apr 11, 2020 | Fayzkand(away) | 2-3 | Vysshaya Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2020 | Kuktosh(home) | 2-1 | Vysshaya Liga |
| Jun 17, 2020 | Khatlon(away) | 0-1 | Vysshaya Liga |
| Apr 26, 2020 | CSKA Pomir(home) | 2-1 | Vysshaya Liga |
| Apr 18, 2020 | Fayzkand(home) | 0-0 | Vysshaya Liga |
| Apr 11, 2020 | Lokomotive Pamir(away) | 0-1 | Vysshaya Liga |
How many goals should we expect?
Regar-TadAZ score 1.7 and concede 1.8 goals per match over their last 15; Dushanbe-83 score 0.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Regar-TadAZ | 1.7 | 1.8 | 3 | 10/15 | 11/15 |
| Dushanbe-83 | 0.7 | 1.8 | 1 | 2/6 | 3/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Regar-TadAZ | 18 | 12 | 4 | 2 | 25 | 9 | 40 |
A question about Regar-TadAZ vs Dushanbe-83?
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