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Research preview

Model Lab

Baseline vs challenger paper-trading. Every variant is evaluated on the exact same auto-logged fixtures as the live track record — only the filter rule (which picks to take) and staking rule change. No money is attached; this is how a quant desk evolves a model in public.

Computing variants…

Monte Carlo simulator

· Stress-test any model: ours or yours

Runs thousands of simulated betting seasons against the inputs below to show the full distribution of outcomes — not just the average. Use it to see how often a model bankrupts, what a realistic worst-case looks like, and whether the median path is actually profitable. Upload your own picks as CSV to bootstrap from real history instead of assumed parameters.

Bring your own model (optional)

CSV with columns edge_pct, odds, stake (header optional, stake optional). When uploaded, the simulator samples real picks instead of using the edge% / odds inputs below. Staking rule from inputs is used when stake is 0 or missing.

Expected EV per bet
Decimal (1.91 = -110)
Starting balance
Bets per simulated season
% of starting bankroll
Simulated seasons
Set your inputs (or upload a CSV) and hit Run simulation to see the distribution of outcomes.
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Important · educational analytics only · available Australia-wide

Edgewise provides quantitative sports analytics for research and education to users across all Australian states and territories. Nothing on this platform is financial, investment, legal, tax or betting advice and no profits, returns or outcomes are guaranteed. Models are statistical estimates and may be wrong. Edgewise is not a bookmaker, does not accept wagers, does not offer or promote inducements, and is not a regulated wagering service provider under the Interactive Gambling Act 2001 (Cth).

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