Peru football has developed into a highly competitive and closely contested landscape. The Liga 1 plays a central role in shaping the national football landscape. Each prediction is built around form, consistency, and key statistical indicators. Over time, these insights highlight which teams maintain consistency.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 11 | ||||
| FBC Melgar U. de Deportes 2026-04-20 |
WL
LDW |
1X | 2:1 |
65.32%
|
| Cienciano Moquegua 2026-04-20 |
WDWWW
WWLLW |
1 | 2:1 |
52.77%
|
| Sport Huancayo Deportivo Garcilaso 2026-04-19 |
DDLLL
WDDLL |
1 DNB | 2:1 |
83.36%
|
| Alianza Lima Cusco 2026-04-19 |
WLWDW
LLWWL |
1 | 8:0 |
62.38%
|
| Sporting Cristal Cajamarca 2026-04-19 |
LWLLW
DLDLW |
1 | 3:2 |
53.19%
|
| Alianza Atl. Sport Boys 2026-04-19 |
LDDDW
LLWLL |
1 DNB | 0:1 |
61.85%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 10 | ||||
| Comerciantes Unidos Alianza Atl. 2026-04-22 |
DD
LLDDD |
1X |
91.7%
|
|
| Grau Sporting Cristal 2026-04-22 |
LDDDW
WLWLL |
1X |
53.47%
|
|
| Cajamarca Sport Huancayo 2026-04-15 |
LDLWL
DLLLW |
X2 | 2:2 |
58.39%
|
| Moquegua Juan Pablo II 2026-04-14 |
WLLWD
WLLWW |
1X | 3:0 |
55.53%
|
| Round 9 | ||||
| FC Cajamarca Los Chankas 2026-04-06 |
LLLLW
WWWWW |
X2 | 0:1 |
81.76%
|
| U. de Deportes Alianza Lima 2026-04-05 |
DWLWD
WDWWW |
X2 | 1:0 |
74.34%
|
| Sport Huancayo Comerciantes Unidos 2026-04-05 |
LLLWL
DWLWL |
1 | 1:1 |
75.49%
|
| Juan Pablo II Cajamarca 2026-04-05 |
LLWWW
DLWLD |
X2 | 2:1 |
65.14%
|
| Cienciano AD Tarma 2026-04-04 |
WWWWW
DWLDD |
1 | 3:2 |
92.7%
|
| Deportivo Garcilaso Sport Boys 2026-04-04 |
DDLLL
WLLDL |
1 | 3:2 |
72.28%
|
| FBC Melgar Cusco 2026-04-04 |
DDLLL
WLWLW |
Handicap 2 (0:2) | 1:3 |
79.46%
|
| Sporting Cristal Moquegua 2026-04-03 |
LWDWW
LLWDW |
1 | 1:2 |
81.76%
|
| Alianza Atl. Grau 2026-04-03 |
DWLWD
DDWLL |
1X | 2:2 |
84.87%
|
Our methodology
Predictions for the Liga 1 are generated through structured data analysis and modeling techniques. We rely on established statistical methods like Linear Regression for evaluation. We analyze factors such as scoring trends, defensive records, and match consistency. This supports a more informed evaluation of upcoming fixtures.
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