Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+3.6%
Secondary
Market
—
Ordo
30.0%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
—
Result
Market
46.5%
Ordo
42.9%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-3.6%
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Asset weight allocation
Full-time HAD probabilities
Half-time HAD probabilities
Market implied pricing vs Ordo probability
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
Dimension
Market implied %
Ordo %
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
In this South Korean Second Division league, FC Hwaseong hosted FC Daegu. From the initial market and dynamic premium perspective, the market has priced the away FC Daegu at 1.90 (implied win rate about 46.5%), but due to limitations in some real-time team dynamics and rankings for this match, the model uses 'market_anchored' (market pricing anchor mode) for actuarial calibration.
Tactically, the market's expectations for the goal in this match are extremely high—[2.5 goals] The high area is priced as low as 1.64 (with an implied over probability as high as 56%–60%), and the top three favorites for correct score are '1:1', '1:2', and '0:1'. This indicates that the market highly anticipates the defensive risks when switching from attack to defense, especially the spacing triggered by FC Daegu's away game creating space.
Configuration Strategy:
Since the probability of an away win (46.5%) falls within the 42%–52% tactical gray zone and lacks further real-time injury verification, directly choosing an 'away win' as the top asset tends to carry high risk. In contrast, Goals Under [2.5] has extremely high confidence in the overall data structure (model estimates a 60% probability of being accurate). Therefore, the core configuration is set to '[2.5] large**', with the secondary option supplemented by 'Guest [-0.5]' for directional hedging.
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