Italy's football scene has become increasingly competitive in recent seasons. The Serie D is widely recognized for the level of competition it consistently delivers. We break down key metrics such as scoring patterns, defensive records, and recent performances.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 34 | ||||
| AC Milan U23 Vogherese 2026-05-03 |
WLWLD
LLLLL |
1 | 10:1 |
98.7%
|
| USD Casatese Leon 2026-05-03 |
WWWWW
DDLWW |
1X | 1:0 |
75.23%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| Chievo Vogherese 2026-04-02 |
WWLWL
LLLLL |
1 | 4:1 |
92.02%
|
| AC Milan U23 Villa Valle 2026-04-02 |
DWDWW
LLDWW |
1X | 1:1 |
85.54%
|
| Caldiero Terme Brusaporto 2026-04-02 |
LWDLL
LLLDW |
1X | 1:2 |
73.11%
|
| Oltrepo Real Calepina 2026-04-02 |
WLLWW
LWWLL |
1X | 1:0 |
63.54%
|
| Leon Pavia 2026-04-02 |
WWWLW
WWDDW |
1 DNB | 3:1 |
84.11%
|
| Round 29 | ||||
| Real Calepina AC Milan U23 2026-04-08 |
LLWWL
DDWDW |
X2 | 1:0 |
63.54%
|
Our methodology
Our prediction process for the Serie D is grounded in data analysis and measurable trends. Techniques such as Linear Regression help capture underlying trends in match data. We examine both attacking and defensive patterns across recent fixtures. It allows for a more structured understanding of each game.
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