Azerbaijan vs Belarus: result 2-0 and analysis
UEFA Nations LeagueLeague C - 4Kick-off on June 13, 2022 at 04:00 PM (UTC)Bank Respublika Arena, Masazyr (Masazir)
Full time
What was the result of Azerbaijan vs Belarus?
Azerbaijan won 2-0 on June 13, 2022.
Goalscorers
- 76′M. EmreliAzerbaijan
- 90′R. ŞeydayevAzerbaijan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azerbaijan have 1 wins, 3 draws and 11 defeats; Belarus have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2022 | Slovakia(home) | 0-1 | UEFA Nations League |
| Jun 6, 2022 | Belarus(away) | 0-0 | UEFA Nations League |
| Jun 3, 2022 | Kazakhstan(away) | 0-2 | UEFA Nations League |
| Mar 29, 2022 | Latvia(home) | 0-1 | Friendlies |
| Mar 25, 2022 | Malta(away) | 0-1 | Friendlies |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2022 | Kazakhstan(home) | 1-1 | UEFA Nations League |
| Jun 6, 2022 | Azerbaijan(home) | 0-0 | UEFA Nations League |
| Jun 3, 2022 | Slovakia(home) | 0-1 | UEFA Nations League |
| Mar 29, 2022 | Bahrain(away) | 1-0 | Friendlies |
| Mar 26, 2022 | India(away) | 3-0 | Friendlies |
What does the head-to-head say?
Across the last 3 meetings: 1 Azerbaijan win(s), 1 draw(s), 1 Belarus win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 6, 2022 | Belarus 0-0 Azerbaijan | UEFA Nations League |
| Jun 2, 2021 | Belarus 1-2 Azerbaijan | Friendlies |
| Mar 23, 2018 | Azerbaijan 0-1 Belarus | Friendlies |
How many goals should we expect?
Azerbaijan score 0.6 and concede 1.7 goals per match over their last 15; Belarus score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azerbaijan | 0.6 | 1.7 | 1 | 7/15 | 8/15 |
| Belarus | 0.9 | 1.9 | 4 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy