Fakel failed to score in 7 of their last 10 (league 27%).
Russian Premier League Predictions & Stats
Free AI predictions for every upcoming Russian Premier League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 28 October 2026.
Premier League Predictions by Market
Season 2022/2023 · Round 30 · Regular Season
Full-Time Result
47%
SUCCESS RATE AVG.
Both Teams To Score
54%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
50%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
69%
SUCCESS RATE AVG.
First Half Result
50%
SUCCESS RATE AVG.
Correct Score
13%
SUCCESS RATE AVG.
Premier League 2022/2023 prediction accuracy over the last 100 matches: 1X2 47%, BTTS 54%, Over/Under 2.5 50%, Over/Under 3.5 69%, correct score 13%.
Russian Premier League stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 232 matchesrank 1 = highest of 63 competitionsGoals a match
2.55
49th of 63
xG a match
2.68
45th of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Russian Premier League: the stats that stand out
The Russian Premier League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 gamesCalculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for Premier League Russia
Free predictions for today's Russian Premier League matches: 1X2, both teams to score, over/under and correct score.
Winner
X2 71%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
Winner
X2 71%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
Full Time
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 36% | 64% | 69% | 31% | |
| 23% | 77% | 54% | 46% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 47% | 53% | 60% | 40% |
Correct Score
1-1
11.7%
0-1
9.9%
1-2
9.0%
0-2
8.1%
1-0
7.4%
2-1
7.0%
0-0
6.1%
Winner
1 81%
BTTS*
No 58%
Correct Score
2-0 13%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 50%
Winner
1 81%
BTTS*
No 58%
Correct Score
2-0 13%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 50%
Winner
1 65%
BTTS*
Yes 51%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 55%
Winner
1 65%
BTTS*
Yes 51%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 55%
Winner
1 67%
BTTS*
No 54%
Correct Score
2-0 13%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Winner
1 67%
BTTS*
No 54%
Correct Score
2-0 13%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Winner
1X 65%
BTTS*
Yes 63%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Winner
1X 65%
BTTS*
Yes 63%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Winner
1X 70%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 54%
Winner
1X 70%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 54%
Winner
1X 71%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Winner
1X 71%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Winner
1 56%
BTTS*
No 50%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Winner
1 56%
BTTS*
No 50%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Winner
12 72%
BTTS*
Yes 50%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 66%
Winner
12 72%
BTTS*
Yes 50%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 66%
Winner
1 57%
BTTS*
No 56%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 65%
Winner
1 57%
BTTS*
No 56%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 65%
Winner
2 62%
BTTS*
No 52%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Winner
2 62%
BTTS*
No 52%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Winner
1X 66%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Winner
1X 66%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Winner
1X 70%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 66%
Winner
1X 70%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 66%
Winner
1X 74%
BTTS*
No 54%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 70%
Winner
1X 74%
BTTS*
No 54%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 70%
Winner
X2 73%
BTTS*
No 53%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 68%
Winner
X2 73%
BTTS*
No 53%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 68%
Winner
2 59%
BTTS*
No 54%
Correct Score
0-1 14%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Winner
2 59%
BTTS*
No 54%
Correct Score
0-1 14%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Winner
1X 75%
BTTS*
No 59%
Correct Score
1-0 15%
Over/Under 2.5 goals
under 63%
Over/Under 3.5 goals
under 72%
Winner
1X 75%
BTTS*
No 59%
Correct Score
1-0 15%
Over/Under 2.5 goals
under 63%
Over/Under 3.5 goals
under 72%
Winner
2 53%
BTTS*
No 55%
Correct Score
0-1 14%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Winner
2 53%
BTTS*
No 55%
Correct Score
0-1 14%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Winner
1X 74%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
Winner
1X 74%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
Winner
1 52%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Winner
1 52%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Winner
1X 72%
BTTS*
No 52%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Winner
1X 72%
BTTS*
No 52%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Winner
1 75%
BTTS*
No 60%
Correct Score
2-0 14%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Winner
1 75%
BTTS*
No 60%
Correct Score
2-0 14%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Winner
1 72%
BTTS*
No 57%
Correct Score
1-0 14%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Winner
1 72%
BTTS*
No 57%
Correct Score
1-0 14%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Winner
1 52%
BTTS*
No 55%
Correct Score
1-0 15%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 69%
Winner
1 52%
BTTS*
No 55%
Correct Score
1-0 15%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 69%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Russian Premier League xG: chances created and allowed
Every Russian Premier League team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsRussian Premier League average · 1.37 xG, 1.37 xGAlast 10 games each↑ Fewer chances allowed (xGA a game)
















More chances created (xG a game) →
Teams by box· 16
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Russian Premier League Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Russian Premier League this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
Home wins
96 matches
37.5%
Draws
96 matches
32.3%
Away wins
96 matches
30.2%
Over 2.5 goals
96 matches
54.2%
Both teams scored
96 matches
57.3%
Show more markets (6)Show fewer markets
Over 3.5 goals
96 matches
30.2%
Home side ahead at half-time
96 matches
28.1%
Level at half-time
96 matches
47.9%
Away side ahead at half-time
96 matches
24.0%
Home team scored 2+
96 matches
42.7%
Away team scored 2+
96 matches
35.4%
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 96 | 37.5% | 43.6% | −6.1 | ±9.3 | Normal range |
| Home wins | 30 days | 24 | 41.7% | 43.3% | −1.7 | ±18.8 | Normal range |
| Draws | Season | 96 | 32.3% | 25.5% | +6.8 | ±8.7 | Normal range |
| Draws | 30 days | 24 | 29.2% | 25.8% | +3.3 | ±17.4 | Normal range |
| Away wins | Season | 96 | 30.2% | 31.0% | −0.8 | ±8.7 | Normal range |
| Away wins | 30 days | 24 | 29.2% | 30.9% | −1.7 | ±17.6 | Normal range |
| Over 2.5 goals | Season | 96 | 54.2% | 49.4% | +4.8 | ±9.9 | Normal range |
| Over 2.5 goals | 30 days | 24 | 45.8% | 49.9% | −4.1 | ±19.8 | Normal range |
| Both teams scored | Season | 96 | 57.3% | 52.0% | +5.3 | ±9.9 | Normal range |
| Both teams scored | 30 days | 24 | 41.7% | 52.6% | −10.9 | ±19.8 | Normal range |
| Over 3.5 goals | Season | 96 | 30.2% | 28.6% | +1.6 | ±8.9 | Normal range |
| Over 3.5 goals | 30 days | 24 | 37.5% | 29.0% | +8.5 | ±18.0 | Normal range |
| Home side ahead at half-time | Season | 96 | 28.1% | 33.1% | −5.0 | ±9.1 | Normal range |
| Home side ahead at half-time | 30 days | 24 | 33.3% | 33.3% | +0.1 | ±18.3 | Normal range |
| Level at half-time | Season | 96 | 47.9% | 42.5% | +5.4 | ±9.8 | Normal range |
| Level at half-time | 30 days | 24 | 41.7% | 42.3% | −0.6 | ±19.7 | Normal range |
| Away side ahead at half-time | Season | 96 | 24.0% | 24.4% | −0.5 | ±8.3 | Normal range |
| Away side ahead at half-time | 30 days | 24 | 25.0% | 24.4% | +0.6 | ±16.7 | Normal range |
| Home team scored 2+ | Season | 96 | 42.7% | 42.3% | +0.4 | ±9.4 | Normal range |
| Home team scored 2+ | 30 days | 24 | 50.0% | 43.2% | +6.8 | ±19.2 | Normal range |
| Away team scored 2+ | Season | 96 | 35.4% | 32.7% | +2.8 | ±9.0 | Normal range |
| Away team scored 2+ | 30 days | 24 | 29.2% | 33.4% | −4.3 | ±18.2 | Normal range |
Russian Premier League luck check: the last 10 games
Russian Premier League teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+5.2 = 5 points more than their chances usually bringRiding their luck2
Dinamo Moskva+5.2
CSKA Moskva+4.2
Unlucky2
Baltika−5.6
Makhachkala−4.6
Points in line, but wasteful: Rostov (−4 goals). Clinical: Akron (+4), Lokomotiv Moskva (+3).
In line with their chances: Rodina Moskva, Zenit, Krasnodar, Orenburg, Rubin Kazan, Fakel, Krylya Sovetov, Spartak Moskva and Akhmat Grozny.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Russian Premier League last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 21–Oct 28 · 8 matches · odds: closing, margin removed
Akhmat Grozny0-1
OrenburgSmash-and-grabOrenburg beat Akhmat Grozny 1-0 despite fewer chances (xG 1.0 vs 2.3).
CSKA Moskva2-0
Spartak MoskvaSmash-and-grabCSKA Moskva beat Spartak Moskva 2-0 despite fewer chances (xG 1.8 vs 2.8).
Akron3-1
Dinamo MoskvaUpsetBookmakers gave Akron 18.1% to win at kick-off.
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Russian Premier League Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1 | 12 | 27 | 9 | 0 | 3 | 27:13 | +14 | W W W W W |
2 | 12 | 25 | 7 | 4 | 1 | 21:12 | +9 | W L W W D |
3 | 12 | 25 | 8 | 1 | 3 | 19:12 | +7 | L W W W W |
4 | 12 | 23 | 7 | 2 | 3 | 21:10 | +11 | L W D W W |
5 | 12 | 23 | 6 | 5 | 1 | 20:14 | +6 | D D L D D |
The league profile compares Russian Premier League with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Russian Premier League
The Russian Premier League is the top professional football league in Russia. It consists of 16 teams and operates on a system of promotion and relegation with the Russian National Football League. The Russian Premier League is known for its competitive matches and high level of talent. FC Zenit Saint Petersburg is the most successful club in Russian Premier League history.