Correct score
Price one exact regulation-time scoreline.
Strategy hypothesis
Exact scores offer high prices because probability is spread across many outcomes. They are useful as a distribution diagnostic, but extremely fragile as standalone selections.
Up to five selections per market
Both sides and available lines compete for each place. Every displayed selection has recorded odds and a tracked outcome.
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How it works
- Choose one exact home-away score.
- Every other score loses.
- An “Any other” bucket must remain part of a complete model distribution.
When the idea may be useful
- A coherent score distribution is available.
- The exact outcome is compared against all alternatives.
- The quote is supported by enough bookmaker coverage.
Where it can fail
- Very high variance and sparse wins.
- Truncated score models exaggerate named outcomes.
- A model can predict goal totals well and still miss exact scores badly.
Settlement
The regulation-time score must exactly match the selection.
Worked example
2–1 loses if the match ends 2–0, 1–1 or 3–1.
Price check
At 10.00, break-even is 10%, but model uncertainty and omitted score buckets make a conservative bound essential.
Current lab evidence
This counter shows validation activity for this exact strategy version. Current portfolio selections and every settled outcome are available in Results. The private lab is a separate research cohort.
What this page is—and is not
This page explains a market hypothesis and may show current research candidates. A selection is not a promise of profit, personalized advice or proof that the strategy works.