Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-8.1%
Secondary
Market
54.0%
Aestus
58.0%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+4.0%
Result
Market
62.9%
Aestus
54.8%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-8.1%
Settled
Women Argentine Division 1 · 2026-07-28 01:58
· Aestus
Santa Fe United Women's Football Team vs Gimnasia y Esgrima La Plata (women)Santa Fe United Women's Football Team vs Gimnasia y Esgrima La Plata (women)
Predicted0-2
Actual2-0
Core setup is away win, second choice [2.5] Detailed Low score prediction to support tempo control
PrimaryAway✗Secondary[2.5] Under✓ResultAway✗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
Tactics and Strength Assessment:
In this Women's Argentine League A match, the Santa Fe United Women's Football Team will face the Canasia Women's Football Team at home. From the analysis of market implicit probability and pricing structure, Ganasiya women's football team (away win 1.39, winning rate 62.9%) shows a significant combat advantage. As the transferee, the Santa Fe United Women's Football Team is expected to adopt a low defensive tactic of shrinking formation in this game, trying to counter the offensive pressure of the visiting team with density in the midfield and backfield.
Handbook and data calibration:
Host and Away and Pricing: Away win 1.39 combined with a winning rate of 62.9%, showing that the market has high confidence in the Ganasiya women's football team to control the rhythm of the game.
Big and small goals and wave pressure trend: Under the 2.5-goal baseline, the low zone (fine) pricing of 1.71 shows a tilt; the wave pressure rankings are prioritized to lock in 0:1 (5.0), 0:2 (5.6) and 1:2 (7.0), showing that the market expects the away team to win mainly with small wins.
Core risk points:
Since the pre-match rankings and injury data need to be calibrated for market anchoring, the model adopts the market_anchored inference mode. If the home team defends extremely low and the away team's intensive attack efficiency is lower than expected, the first half may be a stalemate, so the second option is to configure a low-scoring defense.
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