Sports intelligence
Sports recruitment often separates performance, fit, cost, risk, window and the real squad need. The result can be a good athlete for the wrong decision.
Sports intelligence
Crosses squad, scouting, market, risk and sporting objectives to help decide where to invest and where not to put money.
01 / In 20 seconds
Sports recruitment often separates performance, fit, cost, risk, window and the real squad need. The result can be a good athlete for the wrong decision.
Sports recruitment often separates performance, fit, cost, risk, window and the real squad need. The result can be a good athlete for the wrong decision.
The decision shifts from “who has the best number?” to “which signing creates more value for this need, squad and window?”.
Better sports-capital allocation by comparing need, fit, cost, risk and alternatives — not only name or isolated performance.
Applied product / expansion. Domain applications and studies exist; new integrations and models depend on data availability and mandate.
02 / Before and after
Sports recruitment often separates performance, fit, cost, risk, window and the real squad need. The result can be a good athlete for the wrong decision.
03 / What goes in
Input format can vary by client. Integration is a means; information quality and origin remain explicit.
04 / What Oruvo does
Reconciles sporting objective, current squad, gaps and financial constraints.
Integrates performance evidence, profile, market and competitive context.
Compares candidates by squad need, fit, cost, timing and risk.
Records decision, window, outcome and learning to improve future choices.
05 / What you receive
Better sports-capital allocation by comparing need, fit, cost, risk and alternatives — not only name or isolated performance.
06 / Decision example
HYPOTHETICAL EXAMPLE — NO CLIENT DATA
A player has stronger market numbers but fills a role already covered and requires investment incompatible with the window. Another has less headline performance but solves the needed role, fits budget and carries lower risk. Sports Intelligence makes that trade-off explicit.
The decision shifts from “who has the best number?” to “which signing creates more value for this need, squad and window?”.
07 / Where outcome appears
Better sports-capital allocation by comparing need, fit, cost, risk and alternatives — not only name or isolated performance.
08 / How to start
We define the objective, minimum data, the decision that must change and the outcome criterion. Then we build the smallest pilot able to prove or disprove value.
Applied product / expansion. Domain applications and studies exist; new integrations and models depend on data availability and mandate.
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