Ağsu vs Sabah II: result 0-4 and analysis
Birinci DastaRegular Season - 11Kick-off on November 22, 2019 at 10:30 AM (UTC)Ağsu şəhər stadionu, Ağsu
Full time
What was the result of Ağsu vs Sabah II?
Sabah II won 0-4 on November 22, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ağsu have 5 wins, 1 draw and 9 defeats; Sabah II have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2019 | Turan(home) | 3-1 | Birinci Dasta |
| Oct 24, 2019 | Sumqayıt II(home) | 3-0 | Birinci Dasta |
| Oct 18, 2019 | Keşlə II(away) | 0-4 | Birinci Dasta |
| Oct 3, 2019 | MOIK(home) | 0-4 | Birinci Dasta |
| Sep 27, 2019 | Kapaz(away) | 0-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2019 | Turan(home) | 1-0 | Birinci Dasta |
| Nov 1, 2019 | Sumqayıt II(away) | 1-2 | Birinci Dasta |
| Oct 24, 2019 | Keşlə II(home) | 1-1 | Birinci Dasta |
| Oct 19, 2019 | MOIK(away) | 2-0 | Birinci Dasta |
| Oct 3, 2019 | Kapaz(home) | 0-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 1 Ağsu win, 0 draws, 1 Sabah II win.
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2019 | Ağsu 2-1 Sabah II | Birinci Dasta |
| Nov 29, 2018 | Sabah II 4-0 Ağsu | Birinci Dasta |
How many goals should we expect?
Ağsu score 1.5 and concede 2.4 goals per match over their last 15; Sabah II score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ağsu | 1.5 | 2.4 | 2 | 9/15 | 13/15 |
| Sabah II | 1.3 | 1.2 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Ağsu vs Sabah II?
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