Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+2.1%
Secondary
Market
—
Aestus
40.0%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
—
Result
Market
46.6%
Aestus
42.6%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-3.9%
Settled
Women Argentine Division 1 · 2026-07-28 01:58
· Aestus
St. Louis Women's Football Team vs Newell's former female teamSt. Louis Women's Football Team vs Newell's former female team
Predicted1-0
Actual4-1
The preferred configuration is [2.5] fine, while the second choice is handicap "Home [0]" to guard against the risk of draw and swings
Primary[2.5] Under✗SecondaryMain[0]—ResultHome✓Goals O/U[2.5] Under
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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
Tactical and Market Pricing Bias Assessment:
In this Argentina Women's League A match, the St. Louis Women's Football Team will face the Newell's Old School Women's Football Team at home. Judging from the market's implied probability structure (home win 46.6% | draw 29.5% | away win 24.0%), the home team has a certain handicap tilt, but the probability of a draw is as high as 29.5%** and the home win is less than half, which shows that the market is still not confident about the outcome of the two sides.
Data characteristics and asset allocation logic:
Polarization of goals in the low zone: The price of the low zone for goal size [2.5] is only 1.54, and the top three popular scores are all covered by low scores (1:0, 1:1, 0:0), indicating that the offensive and defensive rhythms of the two teams in the league tend to be conservative and their offensive accuracy is low.
Win-Loss Direction Defense: According to the risk control red line, when the draw probability is $\ge 28\%$ and the one-way maximum probability is $< 52\%$, the steering wheel (host and guest) is not suitable as the first core asset.
Best configuration strategy: Take [2.5] fine as the core basic market; the second choice is matched with the Asian handicap main[0], use the tie-trading mechanism to prevent the risk of a tie, and lock in the weak unbeaten advantage at home.
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