Difai Ağsu vs Şahdağ: result 1-2 and analysis
Birinci DastaRegular Season - 5Kick-off on October 16, 2025 at 10:30 AM (UTC)
Full time
What was the result of Difai Ağsu vs Şahdağ?
Şahdağ won 1-2 on October 16, 2025.
Goalscorers
- 32′578386Difai Ağsu
- 37′578406Şahdağ
- 42′578387Şahdağ (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Difai Ağsu have 4 wins, 2 draws and 9 defeats; Şahdağ have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2025 | Cəbrayıl(away) | 0-4 | Birinci Dasta |
| Sep 24, 2025 | Mingəçevir(away) | 0-2 | Birinci Dasta |
| Sep 18, 2025 | Səbail(home) | 1-2 | Birinci Dasta |
| Sep 13, 2025 | Baku Sportinq(away) | 2-2 | Birinci Dasta |
| May 23, 2025 | Imisli FK(home) | 1-3 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2025 | Mingəçevir(home) | 0-0 | Birinci Dasta |
| Sep 24, 2025 | Səbail(away) | 0-2 | Birinci Dasta |
| Sep 18, 2025 | Baku Sportinq(home) | 2-3 | Birinci Dasta |
| Sep 11, 2025 | MOIK(away) | 2-1 | Birinci Dasta |
| Oct 29, 2024 | Araz(home) | 0-4 | Cup |
How many goals should we expect?
Difai Ağsu score 1.3 and concede 2.2 goals per match over their last 15; Şahdağ score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Difai Ağsu | 1.3 | 2.2 | 2 | 9/15 | 11/15 |
| Şahdağ | 1.3 | 1.5 | 5 | 5/15 | 10/15 |
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 | Şahdağ | 5 | 4 | 0 | 1 | 13 | 2 | 12 |
A question about Difai Ağsu vs Şahdağ?
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