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The same event trades under a different name, a different ticker, and a different outcome convention on every venue. One calls it “Lakers ML,” another “Lakers to Win,” another “Lakers 5/6.” Nothing in the raw venue data tells you those are the same thing. ParlayX aligns them, so you can see they are the same outcome.

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Deterministic, not inferred

Most attempts at this problem use a language model to guess which markets correspond. That is probabilistic: it produces false matches, it misses matches, and — the part that actually hurts — the same market can resolve differently on two different days. ParlayX matching is deterministic. The same outcome maps the same way every time. Your models are not chasing a moving target, and a mapping does not silently change underneath a live position.

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Outcome sides are normalized

Venues disagree on which side of a market is the “yes.” A position taken on one venue and a hedge placed on another have to express the direction you actually intended, not the direction the venue’s convention implies. ParlayX normalizes outcome sides across venues, so the same directional view reads the same everywhere.

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What it lets you do

  • Compare price and liquidity for the same outcome side by side, across every venue that lists it.
  • Hedge across venues without hand-checking that the two legs are the same market and the same direction.
  • Aggregate a position that is spread over several venues into one number.
  • Look up a market by its venue-native identifier, and find the same outcome on the other venues.

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Coverage

Mapping currently focuses on sports markets, where our customers concentrate. Coverage of other categories expands with demand — if there is a category you need, tell us.

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When a mapping is wrong

Mapping is the foundation everything else rests on, so we treat defects as urgent rather than routine. Report a suspected bad mapping and we acknowledge it within 24 hours.
Deterministic matching means a mapping can be wrong, but it cannot be inconsistent. If a market is mapped incorrectly, it is mapped incorrectly the same way every time — which makes it findable, reportable, and fixable. Probabilistic matching gives you none of those properties.