Rubin vs Krylia Sovetov Prediction, Tips & Odds
Rubin vs Krylia Sovetov


Match Preview
The model favours Rubin to win against Krylia Sovetov, projecting a scoreline of 1-0. Currently sitting in 7th place, Rubin has accumulated 12 points from 9 matches played, with a record of 2 wins, 6 draws, and just 1 loss. Their defensive performance has been solid, conceding only 11 goals, which contributes to a positive goal difference of 1. The team's recent form shows resilience, with one win and four draws in their last five matches, indicating a capacity to secure points even when not at their best. Krylia Sovetov, on the other hand, is positioned 9th but shares the same points total as Rubin with 12 points from 10 matches, featuring 2 wins, 6 draws, and 2 losses. They have scored more goals than Rubin, netting 14, but their defensive record is less impressive, having conceded 15 goals, resulting in a negative goal difference of -1. Their form has been slightly better than Rubin's in recent outings, with two wins and three draws in the last five matches, suggesting they are capable of competing. According to the model, Rubin has a win probability of approximately 45%, while Krylia Sovetov's chances stand at around 30%. The primary market percentage indicates that a draw is also a significant possibility at 25%. One caveat for Rubin is their reliance on draws; if they cannot convert these into victories, it could hinder their progress. For a deeper understanding of the prediction, please refer to the "How We Reached This Prediction" section, where The Daily Punt Analysis Team details their in-house model, which evaluates fixtures through expected goals and actual results across the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Rubin manage games at home, conceding just 1.00 goals per match. Krylia Sovetov score 1.45 on the road.
The most likely scoreline per our model at 17.3% probability.
Rubin have been the stronger side, winning 38% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 17.3% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 3 bookmakers. Rubin are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Rubin vs Krylia Sovetov| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.36 | 3.34 | 3.14 | 2.05 | 1.78 | 1.78 | 1.93 | |
| 2.36 | 3.28 | 3.11 | 2.07 | 1.76 | — | — | |
| 2.20 | 3.00 | 2.77 | — | — | — | — | |
| 2.42 | 3.42 | 3.22 | 2.12 | 1.84 | 1.78 | 1.95 | |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 10 Meetings (Rubin leads 4-3)



















In the last 10 matches between Rubin and Krylia Sovetov, Rubin has won 4 times, Krylia Sovetov has also won 3 times, and there have been 3 draws. The scorelines indicate a fairly competitive rivalry, with several matches ending in draws and a mix of narrow victories. Rubin has recorded two 2-0 wins, while Krylia Sovetov's victories include a 2-0 win as well. The results suggest that neither team has consistently dominated the other, although Rubin has had the edge in recent encounters, winning the last three matches.
Premier League Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 11 | 8 | 1 | 2 | 18 | 9 | 9 | 25 | WWWWW | |
| 2 | 11 | 8 | 0 | 3 | 25 | 13 | 12 | 24 | WWWWL | |
| 3 | 11 | 7 | 2 | 2 | 21 | 8 | 13 | 23 | WDWWL | |
| 4 | 11 | 6 | 4 | 1 | 19 | 12 | 7 | 22 | LWWDW | |
| 5 | 11 | 6 | 4 | 1 | 19 | 13 | 6 | 22 | DLDDD | |
| 6 | 11 | 2 | 7 | 2 | 13 | 12 | 1 | 13 | DWDLD | |
| 10 | 11 | 2 | 6 | 3 | 12 | 16 | -4 | 12 | LLDDD | |
| 11 | 11 | 2 | 6 | 3 | 15 | 17 | -2 | 12 | LDDWD | |
| 14 | 11 | 1 | 6 | 4 | 12 | 20 | -8 | 9 | DLWDD | |
| 15 | 11 | 1 | 3 | 7 | 8 | 19 | -11 | 6 | WLLDL | |
| 16 | 11 | 1 | 3 | 7 | 12 | 27 | -15 | 6 | DLDLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 Season
Rubin have won 8 of their last 20 matches at home, drawing 8 and losing 4. Their recent home fixtures include lost to FC Orenburg 1-4 and lost to Dynamo 0-1.
Overall, the wider run reads 14W 15D 8L from the last 37 games (38% win rate). The form line is positive, with more wins than defeats across the sample.













Krylia Sovetov have won 4 of their last 17 matches on the road, drawing 5 and losing 8. Their recent away fixtures include drew with Lokomotiv 1-1 and drew with Baltika 0-0.
Overall, the wider run reads 13W 13D 16L from the last 42 games (31% win rate). The form line has been negative, with defeats outweighing wins across the sample.












Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 players
Rubin
No reported absences
Krylia Sovetov
No reported absences
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
The referee for this fixture has not been confirmed, so we are sitting this card market out.
Corner Prediction
Rubin have averaged 4.0 corners per match at home; Krylia Sovetov 3.4 on the road. Combined that projects roughly 4.7 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Rubin have generated 1.55 xG per game across their recent matches, winning 38% of them. They put 3.3 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Rubin player to score at 1.85 looks well supported by the data.
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.

