Indonesia's football scene has become increasingly competitive in recent seasons. The Super League continues to attract interest for its competitive balance and structure. We focus on measurable performance indicators to provide clearer match insights. Over time, these insights highlight which teams maintain consistency.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 34 | ||||
| Borneo Malut United 2026-05-23 |
DWWWW
DLWWL |
1 |
66.07%
|
|
| Madura United PSM Makassar 2026-05-23 |
LLWWL
LLWLW |
1 DNB |
61%
|
|
| Persebaya Persik Kediri 2026-05-23 |
WDWWW
LWWLL |
1 DNB |
90.95%
|
|
| Persib Bandung Persijap Jepara 2026-05-23 |
WWWWD
DWLLW |
1 |
72.11%
|
|
| Persija Jakarta Semen Padang 2026-05-23 |
WLWWD
LLLLL |
1 |
98.67%
|
|
| Arema FC PSIM Yogyakarta 2026-05-22 |
WLLDW
WWLLD |
1X |
65.14%
|
|
| Dewa United Bali United 2026-05-22 |
LWWWD
WLLWW |
Handicap 2 (0:2) |
57.09%
|
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 33 | ||||
| Bali United FC Bhayangkara 2026-05-17 |
LLWWW
WLLLW |
1X | 4:1 |
63.71%
|
| Persijap Jepara Borneo 2026-05-17 |
WLLWW
WWWWW |
2 DNB | 0:0 |
97.27%
|
| PSIM Yogyakarta Madura United 2026-05-17 |
WLLDL
LWWLW |
1X | 2:1 |
57.09%
|
| PSM Makassar Persib Bandung 2026-05-17 |
LWLWL
WWWDD |
2 | 1:2 |
92.61%
|
| Persik Kediri Persija Jakarta 2026-05-16 |
WWLLW
LWWDW |
2 DNB | 1:3 |
88.35%
|
| Malut United Persita 2026-05-16 |
LWWLL
LLWLL |
1 | 1:1 |
68.17%
|
| Persis Solo Dewa United 2026-05-16 |
DLLWL
WWWDW |
X2 | 1:0 |
97.3%
|
| Semen Padang Persebaya 2026-05-15 |
LLLLL
DWWWL |
2 DNB | 0:7 |
97.7%
|
| Round 32 | ||||
| Bali United Borneo 2026-05-11 |
LWWWL
WWWWW |
2 DNB | 2:3 |
95.89%
|
| FC Bhayangkara Madura United 2026-05-11 |
LLLWL
WWLWW |
X2 | 3:1 |
59.77%
|
| Arema FC PSM Makassar 2026-05-09 |
LLDWW
WLWLW |
1X | 3:0 |
64.94%
|
| Persis Solo Persebaya 2026-05-09 |
LLWLW
WWWLL |
X2 | 0:0 |
97.97%
|
| Semen Padang Persik Kediri 2026-05-08 |
LLLLL
WLLWL |
X2 | 0:3 |
86.22%
|
Our methodology
Each Super League prediction is based on a model-driven evaluation of team performance. We analyze factors such as scoring trends, defensive records, and match consistency. This ensures each prediction is supported by measurable trends.
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