Sagrada Esperança vs Carmona: result 2-1 and analysis
GirabolaMatchday 9Kick-off on November 10, 2024 at 02:00 PM (UTC)Estádio Quintalão, Dundo
Full time
What was the result of Sagrada Esperança vs Carmona?
Sagrada Esperança won 2-1 on November 10, 2024.
Goalscorers
- 1′?Carmona
- 37′?Sagrada Esperança
- 82′?Sagrada Esperança
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagrada Esperança have 7 wins, 5 draws and 3 defeats; Carmona have 1, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2024 | Bravos do Maquis FC(home) | 0-0 | Girabola |
| Nov 2, 2024 | Luanda City(home) | 3-1 | Girabola |
| Oct 27, 2024 | 1º de Agosto(away) | 1-3 | Girabola |
| Oct 19, 2024 | Académica do Lobito(home) | 2-0 | Girabola |
| Oct 16, 2024 | Santa Rita(home) | 0-0 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2024 | 1º de Agosto(home) | 0-1 | Girabola |
| Oct 26, 2024 | Académica do Lobito(away) | 0-1 | Girabola |
| Oct 20, 2024 | CD Lunda-Sul(home) | 1-1 | Girabola |
| Oct 12, 2024 | Interclube(away) | 0-7 | Girabola |
| Oct 5, 2024 | Recreativo do Libolo(home) | 0-0 | Girabola |
How many goals should we expect?
Sagrada Esperança score 1.3 and concede 0.7 goals per match over their last 15; Carmona score 0.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagrada Esperança | 1.3 | 0.7 | 8 | 6/15 | 6/15 |
| Carmona | 0.4 | 2.0 | 2 | 2/8 | 2/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Sagrada Esperança | 9 | 4 | 2 | 3 | 13 | 11 | 14 |
A question about Sagrada Esperança vs Carmona?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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