Sergipe vs Penedense: result 2-0 and analysis
Serie D1st Phase - 10Kick-off on June 28, 2025 at 07:00 PM (UTC)Estádio Estadual Lourival Baptista, Aracaju, Sergipe
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What was the result of Sergipe vs Penedense?
Sergipe won 2-0 on June 28, 2025.
Goalscorers
- 45′Júnior SergipanoSergipe
- 47′RenySergipe
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sergipe have 5 wins, 2 draws and 8 defeats; Penedense have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2025 | União Carmolandense(away) | 0-2 | Serie D |
| Jun 8, 2025 | Barcelona BA(home) | 4-1 | Serie D |
| Jun 1, 2025 | Barcelona BA(away) | 1-0 | Serie D |
| May 25, 2025 | União Carmolandense(home) | 0-0 | Serie D |
| May 18, 2025 | Penedense(away) | 1-0 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2025 | Juazeirense(home) | 0-0 | Serie D |
| Jun 8, 2025 | Jequié(away) | 0-0 | Serie D |
| Jun 1, 2025 | Jequié(home) | 2-4 | Serie D |
| May 24, 2025 | Juazeirense(away) | 0-1 | Serie D |
| May 18, 2025 | Sergipe(home) | 0-1 | Serie D |
What does the head-to-head say?
In the last meeting: 1 Sergipe win, 0 draws, 0 Penedense wins.
| Date | Score | Competition |
|---|---|---|
| May 18, 2025 | Penedense 0-1 Sergipe | Serie D |
How many goals should we expect?
Sergipe score 1.0 and concede 1.1 goals per match over their last 15; Penedense score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sergipe | 1.0 | 1.1 | 6 | 3/15 | 6/15 |
| Penedense | 1.1 | 1.0 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sergipe | 10 | 4 | 3 | 3 | 15 | 13 | 15 |
A question about Sergipe vs Penedense?
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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