Atlético Baleares vs Numancia: result 4-1 and analysis
Primera División RFEF - Group 2Group 2 - 11Kick-off on November 6, 2022 at 11:00 AM (UTC)Estadio Balear, Palma de Mallorca, Illes Balears
Full time
What was the result of Atlético Baleares vs Numancia?
Atlético Baleares won 4-1 on November 6, 2022.
Goalscorers
- 5′Rubén MesaNumancia
- 17′DioniAtlético Baleares
- 24′Miguelete RamírezAtlético Baleares
- 45′Hugo RodríguezAtlético Baleares
- 57′Víctor PastranaAtlético Baleares
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atlético Baleares have 5 wins, 6 draws and 4 defeats; Numancia have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Real Sociedad II(away) | 0-2 | Primera División RFEF - Group 2 |
| Oct 23, 2022 | Eldense(home) | 3-1 | Primera División RFEF - Group 2 |
| Oct 16, 2022 | La Nucía(away) | 1-1 | Primera División RFEF - Group 2 |
| Oct 9, 2022 | Barcelona B(home) | 3-2 | Primera División RFEF - Group 2 |
| Oct 2, 2022 | Alcoyano(away) | 1-2 | Primera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2022 | Athletic Club II(home) | 0-0 | Primera División RFEF - Group 2 |
| Oct 22, 2022 | Gimnastic(away) | 0-1 | Primera División RFEF - Group 2 |
| Oct 16, 2022 | Calahorra(away) | 0-0 | Primera División RFEF - Group 2 |
| Oct 8, 2022 | Real Sociedad II(home) | 1-0 | Primera División RFEF - Group 2 |
| Oct 2, 2022 | Amorebieta(away) | 2-1 | Primera División RFEF - Group 2 |
How many goals should we expect?
Atlético Baleares score 1.3 and concede 0.9 goals per match over their last 15; Numancia score 0.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlético Baleares | 1.3 | 0.9 | 6 | 7/15 | 6/15 |
| Numancia | 0.6 | 0.5 | 9 | 3/15 | 2/15 |
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