Dextant v0.1Fig.01 / Demonstration surface
01 / 08 · The premise

The Realised Value Engine™

The same athlete is worth more
in some systems than others.

Dextant measures how much a system gets out of an athlete, and finds the system that gets the most. One engine, every sport.

02  /  What it computes

A player is only as good as the system.

The same player thrives in one team and fails in another. The same draft pick transforms one roster and is wasted on the next. The player has not changed. The system has. Dextant scores how well any athlete fits any system, and works out what that fit is worth.

Fig.02 / The engine

Input

System + player

Engine

Black box

Output

Realised value, 0–1

What goes in, and what comes out. How it computes stays inside.

We publish results, not methods.

03  /  The method

Declare a system.
Score the fit. Find the optimum.

01

Declare

Describe how a system plays: what it demands of the people inside it.

02

Decompose

Every candidate is scored against it in detail, not as a single number.

03

Optimise

The engine finds the system where the athlete's value is highest.

The scoring is the product. The weights stay ours.

04  /  Live

One engine.
Every athlete.
Every system.

Give the engine two systems and the same roster ranks differently in each. Built first in football, where value is priced in public every week, the method reads any sport that keeps a record. The value a system captures is computed, not argued.

Fig.03 / System re-sort

System A
  1. 1P-07
  2. 2P-19
  3. 3P-31
  4. 4P-15
  5. 5P-23
  6. 6P-11
  7. 7P-02
  8. 8P-04
  9. 9P-08
  10. 10P-27
System B
  1. 1P-11
  2. 2P-02
  3. 3P-07
  4. 4P-27
  5. 5P-23
  6. 6P-15
  7. 7P-31
  8. 8P-04
  9. 9P-19
  10. 10P-08

Fig.03 · re-rank under a second declared system. 8 of 10 positions move. Illustrative.

05  /  What it reads

Fit is not one number.

A player is not good or bad. They are strong at some things and weak at others, and a system leans on some of them and not the rest. Every sport asks for a different mix. The engine reads a candidate across the parts that matter to the system in front of them, not as a single number.

Fig.04 / Fit decomposition (illustrative)

D1D2D3D4D5D6

06  /  Applications

Every roster decision
is a bet on fit.

Transfers, drafts, line-ups, contracts. Billions move on whether talent fits a system. Dextant prices that bet before it is made.

A transfer prices the player. It should price the fit. Dextant scores every candidate against the way the buying side actually plays, so the fee is spent on output the system can use, not on a reputation built somewhere else.

A draft pick is a bet that a young athlete will translate. Translation depends on the system they land in. Dextant ranks a class by what each prospect would add to the roster as it is, not in the abstract.

Most rosters are collections. A system is a set of demands. Dextant reads the gap between the two: where the current squad leaves the system short, and which profile closes it.

Extend, sell, or let it run down. The call depends on what the athlete is worth to this system, now. Dextant puts a number on realised value so the decision is priced, not argued.

07  /  Method and limits

What we hold back,
and what we do not.

The scoring method is a trade secret. The limits are not. It runs in one sport so far. The engine is bounded, and its bounds are stated to the people we work with. What it does not yet do is named, not hidden.

EngineDomain-agnostic
First domainFootball
InputsEvent and tracking data
OutputRealised value, 0 to 1
MoatBlack box and engine
MethodTrade secret

Not this

Dextant does not predict injuries. It is not a scouting database.

The engine, its scoring method and its outputs are proprietary and protected as a trade secret.

Appendix / Definitions

System
How a team plays. What it asks of the people inside it.
Fit
How well a candidate meets what the system asks.
Realised value
How much of a candidate a system turns into performance.
Optimum
The system that realises the most value from a candidate.

Figures

  • Fig.01Demonstration surface
  • Fig.02The engine
  • Fig.03System re-sort
  • Fig.04Fit decomposition
  • Fig.05Section through the value surface, long axis
  • Fig.06Section through the value surface, transverse

08  /  Access

The value is already there.

Dextant computes where it is highest. Access is by introduction.

By introduction · reviewed, not sold · or email contact@dextant.org

Spec sheet (PDF)

Who

Adrian Goransch

Adrian Goransch

Co-founder.

UEFA B licensed coach.

Knows this market from the inside.

Oliver Cormack

Oliver Cormack

Co-founder.

Built Dextant end to end.

Company in formation · 2026