Muleño vs Bullense: result 2-1 and analysis
Tercera División RFEF - Group 13Group 13 - 3Kick-off on September 24, 2022 at 04:00 PM (UTC)Estadio Municipal de Mula, Mula
Full time
What was the result of Muleño vs Bullense?
Muleño won 2-1 on September 24, 2022.
Goalscorers
- 23′Adrián GarcíaBullense
- 85′Pedro ÁngelMuleño
- 89′David VeraMuleño
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muleño have 0 wins, 4 draws and 11 defeats; Bullense 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 |
|---|---|---|---|
| Sep 18, 2022 | UCAM Murcia II(away) | 1-2 | Tercera División RFEF - Group 13 |
| Sep 11, 2022 | Racing Murcia(home) | 0-0 | Tercera División RFEF - Group 13 |
| Jun 13, 2021 | SFC Minerva(home) | 1-1 | Tercera División RFEF - Group 13 |
| Jun 6, 2021 | EDMF Churra(away) | 0-1 | Tercera División RFEF - Group 13 |
| May 30, 2021 | Plus Ultra(home) | 2-3 | Tercera División RFEF - Group 13 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2022 | La Unión Atlético(home) | 0-3 | Tercera División RFEF - Group 13 |
| Sep 11, 2022 | Águilas(away) | 1-6 | Tercera División RFEF - Group 13 |
| May 1, 2022 | Cartagena FC(away) | 1-1 | Tercera División RFEF - Group 13 |
| Apr 23, 2022 | Deportiva Minera(home) | 0-1 | Tercera División RFEF - Group 13 |
| Apr 17, 2022 | El Palmar(away) | 1-5 | Tercera División RFEF - Group 13 |
How many goals should we expect?
Muleño score 0.5 and concede 1.7 goals per match over their last 15; Bullense score 0.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muleño | 0.5 | 1.7 | 2 | 6/15 | 6/15 |
| Bullense | 0.9 | 2.2 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Muleño | 34 | 6 | 13 | 15 | 33 | 58 | 31 |
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