Italy's football scene has become increasingly competitive in recent seasons. The Serie D continues to attract interest for its competitive balance and structure. Our analysis highlights performance trends to give a clearer view of each fixture. Whether you're following title contenders or mid-table clashes, every fixture offers insight.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 33 | ||||
| Maceratese Giulianova 2026-04-26 |
WDWLL
LDWDL |
X2 | 1:1 |
73.54%
|
| Notaresco Calcio San Marino Calcio 2026-04-26 |
LWLWW
LDWLL |
1 DNB | 1:2 |
88.98%
|
| Teramo Recanatese 2026-04-26 |
WDWWW
WLWLD |
1 | 2:2 |
94.27%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| Ancona Teramo 2026-04-02 |
WDWLW
WW |
X2 | 0:2 |
77.61%
|
| Atletico Ascoli Sora 2026-04-02 |
LWDWD
LDLWD |
1 DNB | 1:0 |
68.52%
|
| L Aquila Notaresco Calcio 2026-04-02 |
LLDLD
LWWDL |
1X | 0:2 |
58.64%
|
| San Marino Calcio Fossombrone 2026-04-02 |
LLDLL
WDWDL |
X2 | 3:0 |
89.2%
|
| Round 28 | ||||
| Notaresco Calcio Sammaurese 2026-03-22 |
WDLDD
LWLDL |
1 | 4:0 |
57.17%
|
| Recanatese Giulianova 2026-03-22 |
LLDLL
LWDWW |
X2 | 0:0 |
83.42%
|
Our methodology
Each Serie D prediction is based on a model-driven evaluation of team performance. Linear Regression forms part of the framework used to analyze match data. Metrics such as goals scored, goals conceded, and team form are central to the analysis. This approach delivers a balanced view based on measurable performance.
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