Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+4.6%
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
44.6%
Ordo
40.8%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-3.8%
Settled
Australian NPL - Victoria · 2026-08-01 13:15
· Ordo
Altona Magic vs Caroline Springs George CrossAltona Magic vs Caroline Springs George Cross
Predicted2-1
Actual1-1
Core build [2.5] is large, then choose main [0] Water Runway Defense
Primary[2.5] Over✗SecondaryMain[0]—ResultHome✗Goals O/U[2.5] Over
✗
Unlock market reference pricing and deep analysis for this match — full-market pricing, weight allocation, actuarial narrative, and recommendation grid.
Virtual credits are for statistical research only · Unlocks are permanent for this match
✓Unlocked · Loading deep analysis…
★
Deep analysis
🔒
Loading quantitative analysis
Failed to load analysis. Please refresh the page.
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
Tactics and Strength Landscape: This game is an Australian National League (NPL Victoria) event, with the Aldona Magic hosting Caroline Springs George Cross. Both teams have relatively open attacking styles, with both historical and tactical characteristics showing a trend of higher average goals per game.
* Market Pricing and Data Verification: The market opened a home win at 1.98 (with an implied probability of about 44.6% after margin extraction), falling into the 42%–52% win-loss gray zone, indicating insufficient confidence in the direction of the win. In contrast, the 2.5-goal overs market pricing dropped to 1.73 (high zone pricing), reflecting a strong market bias toward open matches and goal counts; Correct scores of 1:1 and 2:1 are also popular bets.
Asset Allocation Strategy: Given the relatively high risk in win-loss directions, it is not advisable to use the win-loss three-way market as the main allocation. Core assets are the top choice for those with high confidence [2.5] large ; Secondary Assets Paired with Handicap Main[0] as a defensive hedge against a draw refund (outreach).
Report content is protected; unauthorized copying or redistribution is prohibited.