Russia remains a strong environment for unpredictable and competitive football. Within this structure, the Fnl 2 delivers regular high-level matchups. Our approach looks at both attacking output and defensive stability across fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Kaluga Omsk 2026-05-31 |
WLDLD
LLDDD |
1 DNB | 0:0 |
74.03%
|
| Mashuk Sibir Novosibirsk 2026-05-31 |
WDWDD
WWDWD |
1X | 2:0 |
58.26%
|
| Tekstilshtik Leningradets 2026-05-31 |
WWLWD
LWLLD |
1X | 0:2 |
84.11%
|
| Volgar-Astrakhan Rodina Moscow 2 2026-05-31 |
WLWDD
LDDDW |
1 DNB | 2:0 |
60.94%
|
| Veles Moscow Miass 2026-05-31 |
LLDDL
LWDDD |
1 DNB | 3:2 |
86.86%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Leningradets Mashuk 2026-05-17 |
LDWWW
DDWLD |
X2 | 0:5 |
73.97%
|
| Miass Kaluga 2026-05-17 |
DDDLL
LDWLW |
1X | 0:0 |
76.25%
|
| Omsk Veles Moscow 2026-05-17 |
DDDLL
DLLWW |
2 | 0:0 |
95.26%
|
| Tekstilshtik Volgar-Astrakhan 2026-05-17 |
WDLWL
DDLWL |
1 DNB | 1:2 |
66.32%
|
| Rodina Moscow 2 Sibir Novosibirsk 2026-05-17 |
DWLLW
WDWWD |
X2 | 1:1 |
54.16%
|
| Kaluga Volgar-Astrakhan 2026-05-03 |
WLWDL
LWLWD |
3:3 |
|
|
| Leningradets Omsk 2026-05-03 |
WWWLW
DLLDL |
1 | 1:1 |
95.73%
|
| Miass Sibir Novosibirsk 2026-05-03 |
DLLWD
WWDLW |
X2 | 1:1 |
59.6%
|
| Veles Moscow Rodina Moscow 2 2026-05-03 |
LWWWW
LLWDD |
1 DNB | 0:1 |
63.54%
|
| Tekstilshtik Mashuk 2026-05-03 |
LWLLL
WLDDD |
1X | 1:1 |
63.54%
|
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";Our methodology
Our Fnl 2 predictions are built using a data-driven approach based on statistical modeling. This includes models such as Linear Regression to evaluate team performance patterns. Key variables include goal-scoring efficiency, defensive strength, and recent form. The aim is to provide reliable insights grounded in data.
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