Rebordosa vs Florgrade: result 2-0 and analysis
Campeonato de Portugal Prio - Group BGroup B - 7Kick-off on October 28, 2023 at 02:00 PM (UTC)Estádio Monte de Azevido, Rebordosa (Paredes)
Full time
What was the result of Rebordosa vs Florgrade?
Rebordosa won 2-0 on October 28, 2023.
Goalscorers
- 19′Luís GonçalvesRebordosa (pen.)
- 84′Pedro PauletaRebordosa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rebordosa have 8 wins, 6 draws and 1 defeats; Florgrade have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2023 | SC Braga(home) | 0-2 | Taça de Portugal |
| Oct 8, 2023 | Gondomar(away) | 2-1 | Campeonato de Portugal Prio - Group B |
| Oct 1, 2023 | Beira-Mar(home) | 0-0 | Campeonato de Portugal Prio - Group B |
| Sep 23, 2023 | Tocha(away) | 4-2 | Taça de Portugal |
| Sep 17, 2023 | Valadares Gaia(away) | 0-0 | Campeonato de Portugal Prio - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Paredes(home) | 2-0 | Campeonato de Portugal Prio - Group B |
| Oct 1, 2023 | AD Marco 09(away) | 1-2 | Campeonato de Portugal Prio - Group B |
| Sep 24, 2023 | Paredes(away) | 1-5 | Taça de Portugal |
| Sep 17, 2023 | CF Oliveira Douro(home) | 0-0 | Campeonato de Portugal Prio - Group B |
| Sep 10, 2023 | Beira-Mar(home) | 3-1 | Taça de Portugal |
How many goals should we expect?
Rebordosa score 1.7 and concede 1.0 goals per match over their last 15; Florgrade score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rebordosa | 1.7 | 1.0 | 4 | 10/15 | 7/15 |
| Florgrade | 0.9 | 1.3 | 3 | 3/8 | 3/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Florgrade | 2 | 1 | 1 | 0 | 2 | 1 | 4 |
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