Prediction: SCD Progresso Calcio vs Scandicci
Team pages: SCD Progresso Calcio · Scandicci
| SCD Progresso Calcio | Draw | Scandicci | |
|---|---|---|---|
| Our model | 41% | 30% | 29% |
| Market | 41% | 29% | 30% |
The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.
Match keys
- Cards-heavy: 6.9 🟨 combined avg.
Statistics · 10/10 matches analysed
F = for · A = against · HT = half-time · FT = full-time
| SCD Progresso Calcio | Scandicci | |
|---|---|---|
| Goals for / against (FT) | 1.2 / 1.3 | 1.3 / 1.3 |
| Goals for / against (HT) | 0.5 / 0.6 | 0.7 / 0.7 |
| Half-time result (W/D/L) | 25/38/38% | 17/67/17% |
| Corners (HT / FT) | 2.3 / 4.9 | 1.4 / 3.3 |
| Cards (🟨 / 🟥) | 3.8 / 0.3 | 3.2 / 0 |
Standings · Italy Serie D
Swipe the table sideways →
| # | Team | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | ASD Digiesse PraiaTortora | 1 | 1 | 0 | 0 | 5 | 0 | 3 |
| 1 | Reggina | 1 | 1 | 0 | 0 | 5 | 0 | 3 |
| 3 | Vibonese | 1 | 1 | 0 | 0 | 4 | 0 | 3 |
| 4 | ASD CastrumFavara | 1 | 1 | 0 | 0 | 3 | 0 | 3 |
| 5 | Igea Virtus | 1 | 1 | 0 | 0 | 4 | 2 | 3 |
| 6 | Nissa FC | 1 | 1 | 0 | 0 | 3 | 1 | 3 |
| 7 | Sambiase | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
| 8 | ASD Polisportiva Modica Calcio | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
| 8 | ASD Ragusa | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
| 10 | Calcio Avola 1949 | 1 | 0 | 0 | 1 | 2 | 4 | 0 |
| 10 | SSD Athletic Club Palermo | 1 | 0 | 0 | 1 | 2 | 4 | 0 |
| 12 | Vigor Lamezia | 1 | 0 | 0 | 1 | 1 | 3 | 0 |
| 13 | Milazzo | 1 | 0 | 0 | 1 | 0 | 3 | 0 |
| 14 | Enna Calcio | 1 | 0 | 0 | 1 | 0 | 5 | 0 |
| 14 | ASD Licata | 1 | 0 | 0 | 1 | 0 | 5 | 0 |
| 16 | Città di Gela | 1 | 0 | 0 | 1 | 1 | 2 | -1 |
| 17 | Siracusa | 1 | 1 | 0 | 0 | 4 | 2 | -4 |
| 18 | Trapani | 1 | 0 | 0 | 1 | 0 | 4 | -5 |
Last 10 matches played
The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.
SCD Progresso Calcio
Swipe the table sideways →
| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 06/09 | ASD Tau Calcio Altopascio Italy Serie D |
0-1 | 1-2 | 3 | 2 | L |
| 03/05 | ASD Sasso Marconi Italy Serie D |
– | 4-1 | – | – | W |
| 26/04 | A.C.D. Sant'Angelo Italy Serie D |
– | 1-1 | – | – | D |
| 19/04 | Lentigione Italy Serie D |
1-1 | 2-1 | 4 | 4 | W |
| 12/04 | Correggese Italy Serie D |
1-0 | 1-1 | 6 | 5 | D |
| 02/04 | Tuttocuoio Italy Serie D |
2-0 | 2-0 | 9 | 2 | W |
| 28/03 | Pro Palazzo Italy Serie D |
0-0 | 1-2 | 1 | 2 | L |
| 22/03 | Piacenza Italy Serie D |
0-2 | 0-3 | 5 | 4 | L |
| 15/03 | Sangiuliano City FC Italy Serie D |
0-0 | 0-1 | 9 | 5 | L |
| 28/02 | Pistoiese Italy Serie D |
0-1 | 0-1 | 2 | 8 | L |
Scandicci
Swipe the table sideways →
| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 06/09 | Robur Siena Italy Serie D |
1-0 | 1-1 | 3 | 3 | D |
| 03/05 | Poggibonsi Italy Serie D |
– | 0-1 | – | – | L |
| 26/04 | Gavorrano Italy Serie D |
1-1 | 1-3 | 5 | 6 | L |
| 19/04 | ASD Cannara Italy Serie D |
– | 1-1 | – | – | D |
| 12/04 | Orvietana Italy Serie D |
– | 1-0 | – | – | W |
| 02/04 | ASD Tau Calcio Altopascio Italy Serie D |
2-2 | 4-3 | 5 | 2 | W |
| 28/03 | ASD Sporting Trestina Italy Serie D |
0-0 | 1-1 | 4 | 2 | D |
| 22/03 | Camaiore Italy Serie D |
– | 2-1 | – | – | W |
| 15/03 | Grosseto Italy Serie D |
0-1 | 1-1 | 0 | 5 | D |
| 01/03 | Aquila 1902 Montevarchi Italy Serie D |
0-0 | 1-1 | 3 | 1 | D |
Frequently asked questions
Who is the favourite in SCD Progresso Calcio vs Scandicci?
According to our model, the most likely result is a SCD Progresso Calcio win (41%). Probabilities: SCD Progresso Calcio 41%, draw 29%, Scandicci 30%.
How many goals are expected in SCD Progresso Calcio vs Scandicci?
The model expects 2.44 goals (SCD Progresso Calcio 1.34 · Scandicci 1.1), with a 50% chance of over 2.25 goals.
Will both teams score in SCD Progresso Calcio vs Scandicci?
The model gives a 52% chance that both teams score.
What is the most likely score?
The most likely score according to our model is 1-1.

