Breno vs Alfonsine: result 2-0 and analysis
Serie D - Girone DRegular Season - 22Kick-off on February 2, 2020 at 01:30 PM (UTC)Campo Sportivo Comunale Tassara, Breno
Full time
What was the result of Breno vs Alfonsine?
Breno won 2-0 on February 2, 2020.
Goalscorers
- 8′?Breno
- 90′?Breno
What is the recent form of both teams?
Over their last 15 matches in all competitions, Breno have 4 wins, 4 draws and 7 defeats; Alfonsine have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2020 | Progresso(away) | 0-1 | Serie D - Girone D |
| Jan 19, 2020 | Correggese(home) | 0-1 | Serie D - Girone D |
| Jan 12, 2020 | Crema(away) | 1-0 | Serie D - Girone D |
| Jan 5, 2020 | Fiorenzuola(home) | 1-0 | Serie D - Girone D |
| Dec 22, 2019 | Mantova(home) | 1-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2020 | Correggese(away) | 0-1 | Serie D - Girone D |
| Jan 19, 2020 | Savignanese(home) | 1-2 | Serie D - Girone D |
| Jan 12, 2020 | Fiorenzuola(away) | 1-2 | Serie D - Girone D |
| Jan 5, 2020 | Progresso(home) | 1-0 | Serie D - Girone D |
| Dec 22, 2019 | Mezzolara(home) | 0-1 | Serie D - Girone D |
What does the head-to-head say?
In the last meeting: 1 Breno win, 0 draws, 0 Alfonsine wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2019 | Alfonsine 0-6 Breno | Serie D - Girone D |
How many goals should we expect?
Breno score 1.1 and concede 1.4 goals per match over their last 15; Alfonsine score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Breno | 1.1 | 1.4 | 5 | 7/15 | 7/15 |
| Alfonsine | 0.7 | 1.3 | 4 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Breno vs Alfonsine?
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