01Discovery systemWorking concept

Searchable Markets

A sportsbook usually asks customers to understand its menu before they can express an opinion. This concept reverses that: start with what you think happens in the match, then let the product retrieve the relevant markets from the existing catalogue.

Working demo

Start with the thought. Find the market second.

Use the Real Madrid v Barcelona examples first. Start with a thought like “Mbappé decides it” and watch the product translate it into actual sportsbook markets such as anytime goalscorer, first goalscorer or player shots. Then switch taxonomy to see different routes into that same inventory.

Concept demo · real players + standard market typesReal Madrid v FC Barcelona · demo fixture
Concept in one sentenceLet the customer start with a football opinion — then translate it into real sportsbook markets already in the catalogue.
Typical sportsbook

Player Props → Goalscorer → Anytime goalscorer → Kylian Mbappé

This concept

“Mbappé decides it” → scorer, shots and high-conviction Mbappé markets

2
Now reorganise the exact same market inventory

Nothing is repriced or recreated. Only the route into the market changes.

Relevant expressions of “mbappe decides7 markets surfaced
Ranked by meaning, not feed order
3
One real market, four different “addresses”

Select any result above. The market and price stay the same; only the discovery context changes.

Selected marketKylian Mbappé anytime goalscorer 2.05
Sporting question
Who decides it?
Match story
Mbappé takes over
Player / team
Kylian Mbappé
Traditional feed
Goalscorer
The product ideaMbappé anytime goalscorer is still the same market. The innovation is that the customer can find it through intent, story, player or feed taxonomy.

Real teams and players; standard sportsbook market types. Prices are illustrative and used only to demonstrate the product concept.

What the demo proves

The concept is not “better search”. It is many routes into one market catalogue.

01

The catalogue does not need one “correct” taxonomy

The same market can be addressed as a sporting question, a match story, a player/team market or a conventional feed category. Settlement and pricing stay untouched.

02

Search translates intent into betting expressions

“The Clásico starts fast” can surface an early-goal market, total goals and both-teams-to-score — because the user begins with meaning rather than product vocabulary.

03

Discovery becomes a layer above the feed

The operator can improve findability and merchandising without asking trading or suppliers to rebuild the underlying market catalogue.

Search is not a feature. It is a new sportsbook taxonomy.

Sportsbooks often describe market depth as a competitive advantage. Hundreds of markets become thousands, then tens of thousands across a full event catalogue. The commercial assumption is that more choice creates more relevance. The product reality is different: once the inventory becomes too large to scan, depth creates a discovery problem.

The feed taxonomy is not the customer taxonomy

Supplier feeds are organised for coverage, settlement and trading operations. They group selections into recognisable market families because machines and operators need stable definitions. A fan approaches the same event with a different mental model: who will decide the match, whether it starts quickly, where the pressure will come from, whether the game is likely to become physical, or how an underdog could stay alive.

The product opportunity is not to replace the feed structure. It is to put an intent layer above it. The same selection can live simultaneously inside a traditional market group, a player page, a match-story collection and a search result without creating four separate prices or four separate trading workflows.

Natural language is useful because betting language is learned

Customers frequently know the sporting opinion before they know the sportsbook label. A person can believe “this starts fast” without knowing whether to open total goals, first-goal time, first-half goals or team time-band markets. Search allows the interface to begin with that belief and translate it into available betting expressions.

The catalogue should answer a sporting question before it asks the customer to understand a trading taxonomy.

Discovery creates a new measurement layer

Once markets are addressed through intent, operators can measure the gap between what customers look for and what the sportsbook exposes well. Failed searches, repeated query patterns and high-intent result groups become product signals. That can influence market merchandising, event-page design and even supplier priorities.

The strategic implication

A large market catalogue should be treated as a retrieval problem, not only a navigation problem. Tabs and accordions remain useful, but they should become one route into the inventory rather than the organising principle for the entire experience. The operator that makes its existing market depth easier to understand can create more perceived product richness without adding a single new market.

Start a conversation

Could your existing market depth work harder?

We can map this discovery model against a real event hierarchy, supplier feed and customer journey to identify where taxonomy is creating unnecessary product friction.

Principal
Leo Gaspar — Founder
Entity
Adria Nexus Consulting d.o.o.
Engagement types
Advisory retainer · Fixed-scope mandate · Commercial and technology due diligence · Board advisory
Working languages
English · Croatian