Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
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Secondary
Market
49.7%
Certus
58.0%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+8.3%
Result
Market
54.8%
Certus
52.6%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-2.2%
Settled
Australian NPL - New South Wales · 2026-08-09 13:00
· Certus
Wollongong Wolves vs Sydney UtdWollongong Wolves vs Sydney Utd
Predicted0-2
Actual1-2
Core configuration guest [-0.5/-1], second choice [2.5] fine
PrimaryGuest[-0.5/-1]—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 Certus probability
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
Dimension
Market implied %
Certus %
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
Through real-time search for the 2026 Australian National League (NPL NSW), this game shows a clear pattern of "strong revenge" and "defensive suppression":
Rankings and recent situation are polarizing: The visiting team Sydney United (58) ranks third in the league with 17 wins, 3 draws, 6 losses and 54 points after 26 rounds, while the home team Wollongong Wolves have suffered a collapse in recent times. They have suffered 4 consecutive losses in the league recently (lost to SD Raiders, Blacktown City, etc.) and are currently ranked 3rd in the league. Dropped to 8th place in the league with 35 points.
Absolute dominance on the defensive end: Sydney United conceded only 18 goals in 26 league games (0.69 goals per game) and has the best defense in the league. In contrast, Wollongong Wolves are unbalanced offensively and defensively and have conceded 35 goals.
Fighting spirit and script traction: In the first round match in April this year, Wollongong Wolves used a 12-minute blitz to end Sydney United's unbeaten run 1-0 away from home. In this game, the two sides changed sides and fought again. With Sydney United having the best defense in the league and a huge points advantage, their desire for revenge cannot be underestimated.
In terms of market implicit pricing, the away win probability is 54.8% (after deducting the margin), and Asia has a handicap of away [-0.5/-1] (1.90), giving the visiting team with a solid defense reasonable pricing support. Considering Sydney United's strict defensive discipline and the home team's recent offensive misfire, the visiting team has a high probability of winning with a clean sheet. The first choice of the core configuration is for the visiting team to concede the ball, and the second choice is to enter the ball and defend the game in a thin line.
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