Keşlə II vs Araz: result 0-2 and analysis
Birinci DastaRegular Season - 18Kick-off on February 22, 2023 at 10:00 AM (UTC)
Full time
What was the result of Keşlə II vs Araz?
Araz won 0-2 on February 22, 2023.
Goalscorers
- 15′?Araz
- 44′O. ƏliyevAraz (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Keşlə II have 6 wins, 3 draws and 6 defeats; Araz have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2023 | FK Qəbələ II(away) | 1-1 | Birinci Dasta |
| Feb 7, 2023 | Turan II(home) | 2-3 | Birinci Dasta |
| Dec 17, 2022 | Zira II(home) | 2-1 | Birinci Dasta |
| Dec 10, 2022 | Sumqayıt II(home) | 2-1 | Birinci Dasta |
| Dec 6, 2022 | Kapaz II(home) | 1-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2023 | Imisli FK(home) | 3-0 | Birinci Dasta |
| Feb 8, 2023 | Qarabağ II(away) | 2-1 | Birinci Dasta |
| Dec 17, 2022 | Zaqatala(away) | 1-2 | Birinci Dasta |
| Dec 11, 2022 | Neftçi II(home) | 3-1 | Birinci Dasta |
| Dec 5, 2022 | Səbail II(away) | 2-0 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Keşlə II wins, 0 draws, 1 Araz win.
| Date | Score | Competition |
|---|---|---|
| Sep 6, 2022 | Araz 5-0 Keşlə II | Birinci Dasta |
How many goals should we expect?
Keşlə II score 1.4 and concede 1.9 goals per match over their last 15; Araz score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Keşlə II | 1.4 | 1.9 | 2 | 9/15 | 10/15 |
| Araz | 2.1 | 1.1 | 6 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Keşlə II vs Araz?
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