Italy's football scene has become increasingly competitive in recent seasons. As a key competition, the Serie D reflects the overall strength of football in Italy. We focus on relevant data points to help you understand how teams are performing. Across the season, these patterns reveal consistency and performance levels.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| Portogruaro Bassano 2026-04-02 |
LLLLD
WWDDW |
2 DNB | 1:4 |
96.56%
|
| Altavilla Treviso 2026-04-02 |
DLDLD
LLDWD |
1X | 0:1 |
68.52%
|
| San Luigi Legnago Salus 2026-04-02 |
DLLLW
WWW |
2 DNB | 1:1 |
97.22%
|
| Conegliano Union Clodiense 2026-04-02 |
LWWDW
DWWLD |
1X | 3:2 |
75.23%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 28 | ||||
| Mestre Campodarsego 2026-03-22 |
WWLWD
LWLDW |
X2 | 0:1 |
64.5%
|
| Round 27 | ||||
| Brian Lignano Conegliano 2026-03-15 |
WDDDL
DWWWW |
1X | 0:1 |
63.54%
|
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";Our methodology
We generate Serie D predictions using structured statistical models and match data. We evaluate performance using a combination of offensive and defensive data. This provides a structured and objective view of each matchup.
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