Şagadam vs Köpetdag Aşgabat: result 1-0 and analysis
Ýokary LigaRegular Season - 6Kick-off on May 4, 2020 at 12:15 PM (UTC)Türkmenbaşy Stadium, Türkmenbaşy
Full time
What was the result of Şagadam vs Köpetdag Aşgabat?
Şagadam won 1-0 on May 4, 2020.
Goalscorers
- 29′?Şagadam
What is the recent form of both teams?
Over their last 8 matches in all competitions, Şagadam have 1 win, 2 draws and 5 defeats; Köpetdag Aşgabat have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2020 | Merw(home) | 1-0 | Ýokary Liga |
| Apr 20, 2020 | Ahal(away) | 0-2 | Ýokary Liga |
| Mar 16, 2020 | Altyn Asyr(home) | 1-1 | Ýokary Liga |
| Mar 11, 2020 | Nebitci(away) | 0-1 | Ýokary Liga |
| Mar 7, 2020 | Aşgabat(home) | 0-0 | Ýokary Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2020 | Ahal(home) | 0-1 | Ýokary Liga |
| Apr 19, 2020 | Altyn Asyr(away) | 1-1 | Ýokary Liga |
| Mar 17, 2020 | Nebitci(home) | 1-0 | Ýokary Liga |
| Mar 12, 2020 | Aşgabat(away) | 1-0 | Ýokary Liga |
| Mar 6, 2020 | Energetik(home) | 0-0 | Ýokary Liga |
How many goals should we expect?
Şagadam score 0.4 and concede 1.5 goals per match over their last 8; Köpetdag Aşgabat score 0.6 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şagadam | 0.4 | 1.5 | 2 | 2/8 | 2/8 |
| Köpetdag Aşgabat | 0.6 | 0.4 | 3 | 1/5 | 0/5 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Şagadam sit 4th in Ýokary Liga (22 points from 21 matches) and Köpetdag Aşgabat sit 8th (14 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Şagadam | 21 | 6 | 4 | 11 | 19 | 32 | 22 |
| 8 | Köpetdag Aşgabat | 22 | 3 | 5 | 14 | 22 | 52 | 14 |
A question about Şagadam vs Köpetdag Aşgabat?
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