Turkey's football scene has become increasingly competitive in recent seasons. As the top competition, the Super Lig draws consistent attention from fans and analysts. Our approach looks at both attacking output and defensive stability across fixtures. Across the season, these patterns reveal consistency and performance levels.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| Gaziantep Kayserispor 2026-04-20 |
LD
LL |
1X | 3:0 |
97.79%
|
| Kasimpasa Alanyaspor 2026-04-19 |
DW
DD |
1X | 1:0 |
85.2%
|
| Samsunspor Besiktas 2026-04-19 |
WLD
WL |
X2 | 2:1 |
74.39%
|
| Trabzonspor Basaksehir 2026-04-19 |
DW
WD |
X2 | 1:1 |
58.66%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 28 | ||||
| Kocaelispor Basaksehir 2026-04-06 |
LLWLL
DLWLW |
X2 | 0:0 |
61.94%
|
| Karagumruk Rizespor 2026-04-05 |
LWDWL
LWLWW |
1X | 2:1 |
55.88%
|
| Samsunspor Konyaspor 2026-04-05 |
WWLLW
WWDWL |
X2 | 2:2 |
51.74%
|
| Antalyaspor Eyupspor 2026-04-05 |
DLLLD
LLLLD |
X2 | 3:0 |
53.47%
|
| Fenerbahce Besiktas 2026-04-05 |
WLWWD
WWLWW |
X2 | 1:0 |
62.83%
|
| Trabzonspor Galatasaray 2026-04-04 |
WWWWW
LWWWW |
1X | 2:1 |
87.93%
|
| Genclerbirligi Goztepe 2026-04-04 |
LLDWD
DLDLD |
X2 | 0:2 |
57.51%
|
| Kasimpasa Kayserispor 2026-04-04 |
LWDLD
WLLDW |
1X | 2:0 |
50.55%
|
| Gaziantep Alanyaspor 2026-04-04 |
LWDLD
WDDLL |
X2 | 1:1 |
68.46%
|
| Round 27 | ||||
| Kayserispor Karagumruk 2026-03-19 |
LLDWD
WDWLD |
X2 | 1:0 |
86.48%
|
| Besiktas Kasimpasa 2026-03-19 |
WLWWW
WDLDW |
1 | 2:1 |
82.57%
|
| Konyaspor Genclerbirligi 2026-03-19 |
WDWLW
LDWDL |
1 DNB | 1:0 |
69.59%
|
| Alanyaspor Kocaelispor 2026-03-18 |
DDLLL
LWLLL |
1X | 5:0 |
55.53%
|
| Basaksehir Antalyaspor 2026-03-18 |
LWLWW
LLLDL |
1 | 0:0 |
84.84%
|
| Eyupspor Trabzonspor 2026-03-18 |
LLLDW
WWWWW |
2 | 0:1 |
98.7%
|
| Fenerbahce Gaziantep 2026-03-17 |
LWWDW
WDLDL |
1 | 4:1 |
77.02%
|
Our methodology
We use statistical modeling techniques to produce consistent Super Lig predictions. Mathematical models, including Linear Regression, are used to interpret performance metrics. We focus on performance indicators including scoring rates and defensive stability. The aim is to provide reliable insights grounded in data.
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