Sporting de Benguela vs Sagrada Esperança: result 1-4 and analysis
GirabolaMatchday 10Kick-off on December 5, 2021 at 02:30 PM (UTC)Estádio Nacional de OMBAKA, Benguela
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What was the result of Sporting de Benguela vs Sagrada Esperança?
Sagrada Esperança won 1-4 on December 5, 2021.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Sporting de Benguela have 0 wins, 1 draw and 7 defeats; Sagrada Esperança have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Progresso(home) | 0-1 | Girabola |
| Nov 15, 2021 | Wiliete(away) | 0-4 | Girabola |
| Nov 7, 2021 | Bravos do Maquis FC(home) | 0-3 | Girabola |
| Nov 3, 2021 | 1º de Agosto(home) | 0-5 | Girabola |
| Oct 31, 2021 | Desportivo Huíla(away) | 1-1 | Girabola |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2021 | Sporting de Cabinda(away) | 2-1 | Girabola |
| Nov 27, 2021 | Académica do Lobito(home) | 1-0 | Girabola |
| Nov 24, 2021 | Progresso(home) | 2-0 | Girabola |
| Nov 21, 2021 | Recreativo do Libolo(home) | 2-0 | Girabola |
| Nov 3, 2021 | Kabuscorp(home) | 2-1 | Girabola |
How many goals should we expect?
Sporting de Benguela score 0.3 and concede 2.5 goals per match over their last 8; Sagrada Esperança score 1.4 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sporting de Benguela | 0.3 | 2.5 | 0 | 2/8 | 5/8 |
| Sagrada Esperança | 1.4 | 0.5 | 8 | 6/15 | 5/15 |
Over the last 8 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 Sporting de Benguela vs Sagrada Esperança?
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