Sammaurese vs Pistoiese: result 3-2 and analysis
Serie D - Girone DGroup D - 16Kick-off on December 4, 2022 at 01:30 PM (UTC)Campo Da Calcio Macrelli, San Mauro Pascoli
Full time
What was the result of Sammaurese vs Pistoiese?
Sammaurese won 3-2 on December 4, 2022.
Goalscorers
- 26′?Sammaurese
- 59′?Pistoiese
- 70′Mario MerlonghiSammaurese
- 77′M. BarzottiPistoiese
- 89′?Sammaurese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sammaurese have 7 wins, 4 draws and 4 defeats; Pistoiese have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | Sant'Angelo(away) | 1-2 | Serie D - Girone D |
| Nov 20, 2022 | United Riccione(home) | 2-0 | Serie D - Girone D |
| Nov 13, 2022 | Giana Erminio(away) | 0-1 | Serie D - Girone D |
| Nov 6, 2022 | Prato(home) | 0-0 | Serie D - Girone D |
| Oct 30, 2022 | Ravenna(away) | 2-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | Corticella(home) | 2-0 | Serie D - Girone D |
| Nov 20, 2022 | Lentigione(away) | 1-0 | Serie D - Girone D |
| Nov 13, 2022 | Fanfulla(home) | 3-0 | Serie D - Girone D |
| Nov 6, 2022 | Aglianese(home) | 2-2 | Serie D - Girone D |
| Nov 2, 2022 | Seravezza(away) | 0-3 | Coppa Italia Serie D |
How many goals should we expect?
Sammaurese score 1.3 and concede 0.9 goals per match over their last 15; Pistoiese score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sammaurese | 1.3 | 0.9 | 6 | 6/15 | 5/15 |
| Pistoiese | 1.1 | 0.8 | 8 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Pistoiese | 7 | 7 | 0 | 0 | 18 | 1 | 21 |
A question about Sammaurese vs Pistoiese?
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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