The football environment in Malawi reflects steady growth in quality and depth. The Super League provides a platform where tactical approaches and squad depth are tested. We break down key metrics such as scoring patterns, defensive records, and recent performances. As the season progresses, trends begin to define team strengths and weaknesses.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 15 | ||||
| Big Bullets Silver Strikers 2026-09-05 |
DWW
DWWDW |
1X | 5:0 |
62.44%
|
| Kamuzu Barracks Civo Utd 2026-09-05 |
DLDWW
WWL |
X2 | 0:1 |
72.94%
|
| MAFCO Moyale Barracks 2026-09-05 |
LDLLL
DLDWD |
X2 | 1:2 |
81.49%
|
| Red Lions Masters FC 2026-09-05 |
LWD
LDWDD |
1X | 0:0 |
50%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 14 | ||||
| Creck Sporting Ekhaya 2026-08-22 |
DLLLL
LDLDD |
X2 | 3:2 |
53.56%
|
| Masters FC Blue Eagles 2026-08-22 |
DWDDW
LWWL |
X2 | 1:2 |
52.68%
|
| Mighty Wanderers Red Lions 2026-08-22 |
WDDWW
WD |
1 | 2:1 |
77.48%
|
| Moyale Barracks Kamuzu Barracks 2026-08-22 |
LDWDL
LDWWL |
1 DNB | 2:2 |
73.11%
|
| Round 13 | ||||
| Silver Strikers Ekhaya 2026-08-15 |
WDWDW
DLDDW |
1 |
81.76%
|
|
Our methodology
Our prediction process for the Super League is grounded in data analysis and measurable trends. This approach includes Linear Regression models to quantify team performance. Key variables include goal-scoring efficiency, defensive strength, and recent form. The result is a more consistent and data-backed match analysis.
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