Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-6.0%
Secondary
Market
52.7%
Aestus
54.0%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+1.3%
Result
Market
55.9%
Aestus
49.9%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-6.0%
Settled
Russian Premier · 2026-07-26 22:00
· Aestus
Lokomotiv Moscow vs Akhmat GroznyLokomotiv Moscow vs Akhmat Grozny
Predicted2-1
Actual1-1
Core setup is home win, second pick [2.5] big, echoing high score predictions
PrimaryHome✗Secondary[2.5] Over✗ResultHome✗Goals O/U[2.5] Over
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Asset weight allocation
Full-time HAD probabilities
Half-time HAD probabilities
Market implied pricing vs Aestus probability
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
Dimension
Market implied %
Aestus %
Premium rate
Market recommendations
Asset weight metrics on this platform are for FPL virtual points allocation and statistical probability research only — not financial investment advice.
Actuarial narrative
This content is machine-translated for reference only; the Traditional Chinese version prevails.
In-depth analysis
Tactics and Strength Comparison
Lokomotiv Moscow showed excellent offensive propulsion ability in the opening stage of the Russian Super League. The midfield conversion rate and wing breakthrough efficiency were both better than Aikamat. Aikamat is accustomed to using mid-to-low defense and quick counterattacks, but when facing strong ball-controlling teams away from home, the defense often has gaps in the ribs after its physical fitness declines in the second half. In terms of tactical matchup, Lokomotiv's high-position pressing will effectively suppress Aikamat's backcourt organization.
Data and market pricing bias
The market gives Lokomotiv a home win of 1.58 (implied probability of about 55.9%), and the goal-sizing baseline is set at 2.5 goals (high zone 1.75). Looking at the data premium, Lokomotiv's recent home expected goals (xG) has reached more than 1.85, while Aikamat has conceded nearly 1.6 goals away from home. The model estimates that the main winning probability reaches 57%, and the winning rate threshold is in line with the direction configuration benchmark; at the same time, the estimated game result is 2:1, and the total number of goals tends to exceed the 2.5 goal mark.
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