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
23.9%
Ordo
26.7%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+2.9%
Settled
Australian NPL - New South Wales · 2026-08-01 13:00
· Ordo
Western Sydney Wanderers B vs UNSW FCWestern Sydney Wanderers B vs UNSW FC
Predicted1-1
Actual2-1
Core setup [3.5] Detailed, secondary choice is main [0] Water Flow Defense
Primary[3.5] Under✓SecondaryMain[0]—ResultDraw✗Goals O/U[3.5] Under
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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
1. Institutional pricing and combat power game
This Australian NPL New South Wales match is played by Western Sydney Wanderers B Team at home against University of New South Wales FC. Judging from the implied probability of victory and defeat provided by the agency (home win 38.7% | draw 23.9% | away win 37.4%), the two sides are in an extremely close "five-five wave" stalemate. The small price difference between the home win of 2.28 and the away win of 2.36 reflects that the market does not give a clear preference for the physical advantage of the youth army against the experience of the junior college team.
2. Handicap characteristics and goal pattern
Lower defensive line for large and small balls: The baseline for large and small balls in this game is set at as high as 3.5 goals, but the [3.5] small ball is priced at only 1.53 (implied probability of ~64%), which shows that the organization is extremely cautious about low scores or defensive see-saw situations.
Bold implicit hint: The top three hottest scores are 1:1, 2:1 and 1:2. They all support the ability of both sides to score goals but it is difficult to evolve into a high-scoring tug-of-war.
3. Tactical allocation and asset selection
In the extremely high uncertainty gray area where the probability of all three directions is less than 40%, the risk of directly seeking a single win is too high. Taking into account the recent rhythm of both sides and the focus of market defense, [3.5] Fine is the most confident asset; at the same time, it is supplemented by Handicap Master[0] as the second choice, which provides a defensive guarantee of losing money in the expected 1:1 draw situation.
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