The football environment in Russia reflects steady growth in quality and depth. As a key competition, the Fnl 2 reflects the overall strength of football in Russia. Each prediction is built around form, consistency, and key statistical indicators.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 17 | ||||
| Dynamo Stavropol Zenit 2 2026-06-11 |
WWLDL
WDLWL |
1X | 3:0 |
58.26%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 13 | ||||
| Amkar Kirov 2026-05-16 |
LLWWD
WWWDD |
X2 | 0:2 |
69.71%
|
| Tyumen D. Bryansk 2026-05-16 |
WWLWD
WLWWL |
1 DNB | 1:2 |
66.08%
|
| Alania Vladikavkaz Dynamo Moscow 2 2026-05-16 |
LLLLD
LLLLD |
1 DNB | 1:1 |
75.23%
|
| Kuban Dynamo Stavropol 2026-05-16 |
WLWLD
LWLLD |
1X | 1:1 |
64.18%
|
| Round 11 | ||||
| Dynamo Vladivostok Kuban 2026-05-02 |
WDWWD
WLDLL |
Handicap 2 (0:2) |
63.54%
|
|
| Tyumen Dynamo Moscow 2 2026-05-02 |
LWDLD
LLDWD |
1 DNB | 7:2 |
69.7%
|
| Zenit 2 Alania Vladikavkaz 2026-05-02 |
LWDLW
LLDWW |
X2 | 4:0 |
93.5%
|
| Kirov D. Bryansk 2026-05-02 |
WDDWD
WWLLW |
1X | 1:0 |
70.87%
|
| Amkar Dynamo Stavropol 2026-05-02 |
WWDWL
LLDLL |
1 | 1:2 |
94.15%
|
Our methodology
We apply a data-led methodology to produce our Fnl 2 predictions. Linear Regression models are used to break down performance indicators across teams. Our evaluation considers attacking output, defensive metrics, and recent performances. This offers a clearer breakdown of team performance and expectations.
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