Chile football has developed into a highly competitive and closely contested landscape. The Liga De Ascenso stands as one of the most followed competitions within Chile. We evaluate fixtures using structured data and observable performance trends. Whether you're following title contenders or mid-table clashes, every fixture offers insight.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 15 | ||||
| Deportes Temuco Curico Unido 2026-06-09 |
WWWLD
WDLDL |
1X | 0:1 |
88.71%
|
| U. Espanola San Felipe 2026-06-09 |
DLWWW
WLWLL |
1 DNB | 2:2 |
78.11%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 14 | ||||
| CD Santa Cruz Copiapo 2026-06-02 |
DLLDL
WLWWL |
X2 | 1:1 |
79.14%
|
| Curico Unido Antofagasta 2026-06-02 |
DLDLW
DDWLW |
X2 | 1:0 |
79.95%
|
| San Marcos de Arica Deportes Temuco 2026-05-31 |
WDDWW
WWLDW |
1 DNB | 0:1 |
67.53%
|
| Magallanes Deportes Iquique 2026-05-31 |
LWLLW
DLDDW |
1X | 4:3 |
67.83%
|
| Cobreloa Rangers 2026-05-31 |
DWLWW
LLDLL |
1 | 2:0 |
85.12%
|
| Recoleta San Luis 2026-05-30 |
DLWLL
WWLWL |
X2 | 0:0 |
62.44%
|
| S. Wanderers U. Espanola 2026-05-30 |
WWWDL
LWWWW |
1X | 2:2 |
87.76%
|
| San Felipe D. Puerto Montt 2026-05-30 |
LWLLL
LLWWL |
X2 | 1:0 |
67.68%
|
| Round 13 | ||||
| Copiapo U. Espanola 2026-05-26 |
LWWLL
WWWWD |
X2 | 3:1 |
90.7%
|
| San Luis Magallanes 2026-05-25 |
WLWLW
WLLWL |
X2 | 2:1 |
63.03%
|
| Deportes Temuco San Felipe 2026-05-24 |
WLDWL
WLLLW |
1 DNB | 5:0 |
84.41%
|
| Antofagasta CD Santa Cruz 2026-05-24 |
DWLWW
LLDLL |
1 DNB | 1:1 |
86.86%
|
| D. Puerto Montt San Marcos de Arica 2026-05-24 |
LWWLW
DDWWW |
X2 | 0:2 |
67.55%
|
| Rangers S. Wanderers 2026-05-23 |
LDLLD
WWDLW |
X2 | 0:2 |
81.92%
|
| Deportes Iquique Curico Unido 2026-05-23 |
LDDWL
LDLWD |
X2 | 1:1 |
59.47%
|
| Recoleta Cobreloa 2026-05-21 |
LWLLD
WLWWL |
X2 | 2:2 |
92.02%
|
Our methodology
Predictions for the Liga De Ascenso are generated through structured data analysis and modeling techniques. Our system incorporates Linear Regression to analyze measurable match variables. Metrics such as goals scored, goals conceded, and team form are central to the analysis. This helps present each match from a data-informed perspective.
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