Akron vs Krylia Sovetov Prediction, Tips & Odds
Akron vs Krylia Sovetov
Match Preview
The model favours Krylia Sovetov to win this match, projecting a scoreline of 1-0. Krylia Sovetov currently sits in 13th position in the league, having played three matches this season. Their form has been relatively steady with two draws and one loss, scoring one goal and conceding three, leading to a goal difference of -2. While they have yet to secure a victory, their defensive record suggests they have been competitive in their matches. On the other hand, Akron finds themselves in a precarious 15th position, with a troubling start to their campaign. They have yet to win any of their three matches, managing only one draw and suffering two defeats. Their goal-scoring woes are evident, having netted just one goal while conceding seven, resulting in a goal difference of -6. This poor form may impact their confidence heading into this fixture. The model gives Krylia Sovetov a win probability of approximately 55%, reflecting their slightly better standing and form. However, a caveat exists; if Akron can improve their defensive stability and capitalize on any chances they create, they could make this a closer contest than anticipated. For a detailed explanation of the prediction methodology, please refer to the "How We Reached This Prediction" section. The Daily Punt Analysis Team utilizes an in-house model that evaluates fixtures through expected goals and actual results throughout 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.
Combined goal output is high (2.7 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 16.5% probability.
Krylia Sovetov have been the stronger side, winning 32% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 16.5% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 3 bookmakers. Krylia Sovetov 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
Akron vs Krylia Sovetov| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.85 | 3.40 | 2.52 | 1.78 | 2.05 | 1.59 | 2.21 | |
| 2.93 | 3.50 | 2.46 | 1.79 | 2.09 | — | — | |
| 2.75 | 3.23 | 2.30 | 1.77 | 2.07 | — | — | |
| 3.00 | 3.48 | 2.52 | 1.83 | 2.13 | 1.58 | 2.26 | |
Superbet | 2.85 | 3.35 | 2.40 | 1.75 | 2.00 | 1.60 | 2.20 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 6 Meetings (Akron leads 3-2)In the last six matches between Akron and Krylia Sovetov, Akron has won 3 times, Krylia Sovetov has won 2 times, and there has been 1 draw. The scorelines indicate a competitive rivalry, with several narrow wins; Akron's victories include two by a margin of 2-0 or more, while Krylia Sovetov's wins include a significant 3-0 result. The draw in their most recent meeting suggests that the teams are closely matched, although Akron has had the upper hand in recent encounters. Krylia Sovetov's last win was over two years ago, indicating a potential shift in the balance of power.
Premier League Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  FC Krasnodar | 6 | 6 | 0 | 0 | 11 | 4 | 7 | 18 | WWWWW |
| 2 |  Spartak Moscow | 6 | 4 | 1 | 1 | 11 | 5 | 6 | 13 | DWWLW |
| 3 |  Zenit | 6 | 4 | 0 | 2 | 13 | 4 | 9 | 12 | WLWLW |
| 4 |  CSKA Moscow | 6 | 3 | 3 | 0 | 9 | 6 | 3 | 12 | DWWDD |
| 5 |  Baltika | 6 | 3 | 1 | 2 | 10 | 6 | 4 | 10 | WDLWW |
| 6 |  Dynamo | 6 | 3 | 1 | 2 | 8 | 7 | 1 | 10 | WWLWL |
| 11 | Krylia Sovetov | 6 | 1 | 3 | 2 | 8 | 10 | -2 | 6 | DWLLD |
| 14 |  Lokomotiv | 6 | 0 | 3 | 3 | 5 | 8 | -3 | 3 | LLDDL |
| 15 | Akron | 6 | 0 | 3 | 3 | 6 | 15 | -9 | 3 | DLDDL |
| 16 |  Fakel | 6 | 0 | 2 | 4 | 3 | 7 | -4 | 2 | LDLDL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonAkron have won 5 of their last 23 matches at home, drawing 5 and losing 13. Their recent home fixtures include drew with Lokomotiv 0-0 and drew with CSKA Moscow 2-2.
Overall, the wider run reads 11W 7D 19L from the last 37 games (30% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Krylia Sovetov have won 4 of their last 16 matches on the road, drawing 4 and losing 8. Their recent away fixtures include drew with Krylia Sovetov 0-0 and drew with Akhmat 3-3.
Overall, the wider run reads 11W 10D 13L from the last 34 games (32% 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
3 playersAkron2
Krylia Sovetov1
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
A. Prokopov has averaged 7.0 yellow cards per match across 2 recent fixtures we have data for. Our pick is over 4.5 yellow cards at 1.85.
Corner Prediction
Akron have averaged 5.2 corners per match at home; Krylia Sovetov 4.7 on the road. Combined that projects roughly 6.0 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Krylia Sovetov have generated 2.72 xG per game across their recent matches, winning 32% of them. They put 5.0 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Krylia Sovetov 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.
