Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+17.0%
Secondary
Market
19.2%
Certus
24.6%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
+5.4%
Result
Market
58.5%
Certus
56.0%
Absolute gap between the calibration model probability and the market-implied probability. Larger gaps signal greater divergence from market consensus.
-2.5%
Settled
Australian NPL - Queensland · 2026-08-14 17:30
· Certus
Wynnum Wolves vs Magic UtdWynnum Wolves vs Magic Utd
Predicted2-1
Actual0-3
Core configuration [3.5] fine, second choice handicap home and away and [-1] win by one goal
Primary[3.5] Under✓Secondaryand[-1]—ResultHome✗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 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
This game is a mid-lower matchup in the 22nd round of the Australian National League-Queensland Division (NPL QLD) in the 2026 season. Combined with the latest 2026 on-the-spot data search, the home team Wynnum Wolves currently ranks 6th in the league with 33 points, while the visiting team Magic United is mired in 9th place with 19 points. From a fundamental point of view, the home team defeated its opponent 3-1 as an away player in the first round of confrontation in May this year, and has a strong psychological advantage and hard power to suppress it.
However, the on-the-spot market strongly raised the baseline of goal size to 3.5 goals, and the implied pricing of "[3.5] large" was extremely compressed to 1.68 (high zone premium). This data model is most likely over-referenced to the Magic League's season average conceding rate of 2.8 goals per game (59 goals conceded in 21 games). According to recent formation and game result tracking, Magic United has shown obvious signs of shrinking defense in terms of tactical layout. The total goals scored in the past three league games (against Rochedale, Brisbane Roar II, etc.) have been stable at 3 goals (2-1 or 1-2), and there has been no early collapse.
At the same time, Wynnum Wolves' recent offensive firepower is not at its peak. In the past four league games, they have had as many as two goalless draws with their opponents (0-0 draws with Eastern Suburbs and Peninsula Power). With the visiting team taking the initiative to retreat, it is not easy for the home team to unilaterally penetrate the 3.5-goal defense line.
Tactics and Handicap Configuration:
Based on the deduction of the home team's small victory pattern (such as 2-1 or 1-0), we locked the core direction in the anti-market logic of [3.5]' (priced in the low zone of 2.05, with extremely high gaming and profit-loss ratio value). In terms of the second choice configuration, since there is no tie handicap in the available list for defense, we strategically gave up the Asian handicap that has a handicap mechanism but a low water level, and instead usedand [-1]` of "handicap home and away" to accurately capture the script of a small victory with one goal, thereby earning a generous reward of up to 3.90.
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