Franciacorta vs Progresso: result 2-2 and analysis
Serie D - Girone DRegular Season - 17Kick-off on December 22, 2019 at 01:30 PM (UTC)Campo Sportivo Comunale Maselli, Adro
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What was the result of Franciacorta vs Progresso?
Franciacorta and Progresso drew 2-2 on December 22, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Franciacorta have 5 wins, 4 draws and 6 defeats; Progresso have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Lentigione(away) | 0-2 | Serie D - Girone D |
| Dec 8, 2019 | Vigor Carpaneto(away) | 2-5 | Serie D - Girone D |
| Dec 1, 2019 | Calvina(home) | 2-4 | Serie D - Girone D |
| Nov 24, 2019 | Fiorenzuola(away) | 1-2 | Serie D - Girone D |
| Nov 17, 2019 | Sammaurese(home) | 1-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 18, 2019 | Correggese(home) | 2-2 | Serie D - Girone D |
| Dec 8, 2019 | Fiorenzuola(home) | 2-1 | Serie D - Girone D |
| Dec 1, 2019 | Mezzolara(away) | 0-0 | Serie D - Girone D |
| Nov 24, 2019 | Crema(home) | 1-1 | Serie D - Girone D |
| Nov 17, 2019 | Fanfulla(away) | 1-2 | Serie D - Girone D |
How many goals should we expect?
Franciacorta score 1.9 and concede 2.1 goals per match over their last 15; Progresso score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franciacorta | 1.9 | 2.1 | 0 | 14/15 | 10/15 |
| Progresso | 1.1 | 1.4 | 3 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Progresso | 33 | 9 | 9 | 15 | 34 | 41 | 36 |
A question about Franciacorta vs Progresso?
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