Statistics / Football / Russia. Premier League

Russia Russia Premier League Statistics (40)

Predictions

Premier League 2025/26 Season Overview

07-18
100%
05-17
  • League goals trend: Average goals per match 2.54
  • Home win rate: About 45%
  • Away win rate: About 27%
  • BTTS rate (both teams to score): About 52%
  • Over 2.5 average hit rate: About 45%
  • Most attacking teams: FC Krasnodar
  • Best defensive teams: Zenit
Russia Russia. Premier League (40)
xG Accuracy
May 17
15:00
Krylia Sovetov Krylia Sovetov
4 0.89 1 1.27
Akron Akron
40%
May 17
15:00
Rubin Rubin
2 1.04 2 0.89
Nizhny Novgorod Nizhny Novgorod
57%
May 17
15:00
FC Sochi FC Sochi
1 1.02 1 1.18
Akhmat Akhmat
95%
May 17
15:00
Baltika Baltika
1 1.19 2 1.04
Dynamo Dynamo
73%
May 17
15:00
CSKA Moscow CSKA Moscow
3 1.24 1 1.31
Lokomotiv Lokomotiv
57%
May 17
15:00
Dinamo Makhachkala Dinamo Makhachkala
0 0.96 0 0.97
Spartak Moscow Spartak Moscow
59%
May 17
15:00
FC Rostov FC Rostov
0 0.82 1 0.84
Zenit Zenit
76%
May 17
15:00
FC Krasnodar FC Krasnodar
3 1.55 0 0.74
FC Orenburg FC Orenburg
55%
May 11
17:00
Dynamo Dynamo
2 1.15 1 1.32
FC Krasnodar FC Krasnodar
72%
May 11
14:30
Spartak Moscow Spartak Moscow
2 1.11 1 0.75
Rubin Rubin
73%
May 11
12:15
Nizhny Novgorod Nizhny Novgorod
1 1.33 2 1.13
CSKA Moscow CSKA Moscow
72%
May 11
10:00
Akron Akron
1 0.95 3 1.20
FC Rostov FC Rostov
60%
May 10
16:30
Lokomotiv Lokomotiv
1 1.28 0 0.96
Baltika Baltika
71%
May 10
14:15
Akhmat Akhmat
1 1.11 1 0.87
Dinamo Makhachkala Dinamo Makhachkala
94%
May 10
12:00
Zenit Zenit
2 1.45 1 0.60
FC Sochi FC Sochi
77%
May 10
09:30
FC Orenburg FC Orenburg
1 1.36 0 0.62
Krylia Sovetov Krylia Sovetov
76%
May 03
16:30
Akhmat Akhmat
2 1.28 0 1.03
Nizhny Novgorod Nizhny Novgorod
62%
May 03
14:00
Akron Akron
0 0.97 1 1.68
FC Krasnodar FC Krasnodar
64%
May 03
11:30
FC Sochi FC Sochi
3 0.99 1 1.02
FC Orenburg FC Orenburg
57%
May 02
16:00
CSKA Moscow CSKA Moscow
1 0.90 3 1.11
Zenit Zenit
58%
May 02
13:30
Baltika Baltika
0 1.05 1 0.73
Rubin Rubin
70%
May 02
11:00
Dinamo Makhachkala Dinamo Makhachkala
1 0.85 2 0.88
FC Rostov FC Rostov
70%
May 01
16:30
Lokomotiv Lokomotiv
1 1.45 1 1.12
Dynamo Dynamo
86%
May 01
14:00
Krylia Sovetov Krylia Sovetov
2 0.70 1 1.39
Spartak Moscow Spartak Moscow
63%
Apr 27
17:00
Baltika Baltika
0 1.38 1 0.90
Akron Akron
67%
Apr 26
16:30
Zenit Zenit
2 1.19 0 0.77
Akhmat Akhmat
65%
Apr 26
14:00
Dynamo Dynamo
2 1.50 0 0.85
FC Sochi FC Sochi
69%
Apr 26
14:00
FC Krasnodar FC Krasnodar
2 1.30 1 0.78
Dinamo Makhachkala Dinamo Makhachkala
78%
Apr 26
11:00
Nizhny Novgorod Nizhny Novgorod
1 1.05 2 1.11
Spartak Moscow Spartak Moscow
77%
Apr 25
16:30
Rubin Rubin
0 1.06 0 0.94
CSKA Moscow CSKA Moscow
58%
Apr 25
14:00
Krylia Sovetov Krylia Sovetov
2 0.82 0 1.43
Lokomotiv Lokomotiv
49%
Apr 25
11:30
FC Rostov FC Rostov
0 1.12 1 0.81
FC Orenburg FC Orenburg
70%
Apr 23
16:45
Akhmat Akhmat
1 0.89 1 1.20
Baltika Baltika
92%
Apr 23
16:45
Spartak Moscow Spartak Moscow
1 1.01 2 1.23
FC Krasnodar FC Krasnodar
81%
Apr 23
14:30
Akron Akron
1 1.06 1 1.12
Dinamo Makhachkala Dinamo Makhachkala
95%
Apr 22
16:45
Dynamo Dynamo
0 1.44 1 0.67
Rubin Rubin
62%
Apr 22
16:45
Lokomotiv Lokomotiv
0 1.03 0 0.97
Zenit Zenit
58%
Apr 22
14:30
FC Orenburg FC Orenburg
2 1.29 1 1.05
Nizhny Novgorod Nizhny Novgorod
81%
Apr 21
16:45
CSKA Moscow CSKA Moscow
1 1.50 1 1.00
FC Rostov FC Rostov
87%
Apr 21
14:30
FC Sochi FC Sochi
2 1.12 1 1.25
Krylia Sovetov Krylia Sovetov
73%

Russia Premier League Betting & Prediction Guides

Want to understand how AI identifies value in Russia Premier League matches? Explore our strategy guides:

Premier League Predictions FAQ

Q1: What defines the probability structure and upset patterns in the Russia Premier League 2025/26? ▼
The Russia Premier League 2025/26 is structurally defined by a massive home-field bias compared to the more balanced distributions seen in most European top-flights. With a 47% home win rate against a meager 25% for visitors, the league creates a wide 22% gulf that dictates the odds landscape. This gap suggests that travel fatigue and regional climates play a heavier role here than in compact leagues, frequently leading to shorter prices on favorites when playing in their own stadiums.

Upset patterns typically emerge when mid-table teams travel, as the 25% away win rate indicates that road victories are outliers. While probability never guarantees certainty, focusing on long-term EV through home-side stability is a core tactical approach. However, rigorous risk management remains essential because high-variance results can still disrupt grounded statistical projections.
Q2: How does the Over/Under and BTTS structure in the Russia Premier League 2025/26 differ from other leagues? ▼
The Russia Premier League is structurally lower-scoring than most Western European competitions, characterized by a defense-first identity that keeps Over 2.5 outcomes to just 42%. Unlike high-octane leagues, matches here often hinge on tactical rigidity. This translates to a BTTS rate of 48%, meaning more than half of the 2025/26 fixtures see at least one side fail to find the net. With goals per game averaging 2.53, the league leans toward attrition rather than explosive offensive displays.

This scoring profile creates a market where "Under" outcomes are the statistical baseline. Analytical focus should shift toward defensive clean-sheet probabilities, as the sub-50% BTTS rate highlights a lack of end-to-end volatility. While these trends provide a data-backed framework, probability is not a guarantee of specific match results, and disciplined risk management is required to navigate the league's narrow margins.
Q3: How does the specific data profile of the Russia Premier League 2025/26 shape odds and analytical edges? ▼
Because the Russia Premier League features a pronounced 22% home-away win gap, the odds structure often inflates away prices beyond their true probability. This strong home bias creates an environment where models find edges by spotting undervalued visitors who possess the defensive discipline to exploit the league's 48% BTTS rate. When a road team’s defensive metrics outweigh the 47% home win trend, the resulting odds often overcompensate for the league's reputation for travel difficulty.

Furthermore, with Over 2.5 occurring in only 42% of matches, the market frequently compresses odds on low-scoring affairs. Analytical edges are found by isolating specific matchups where the 2.53 goals per game average is likely to be challenged by outliers. Even with these clear data markers, probability remains distinct from certainty, making long-term EV and strict risk management vital for any strategic approach.
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