Dextant
Calibrating0.00
Fig.01 / Value surface
01 / 08 · The premiseOptimum 0.94 · converged

The Realised Value Engine™

A player’s value is not a number.
It is a function of the system he plays in.

Every player is worth more in some systems than others. Dextant computes how much of a player a given system actually gets, and finds the system that gets the most.

02  /  What it computes

Value is a function of fit.

A player’s output is not fixed. It rises and falls with the system around him. Dextant models that system as a declared philosophy, scores the player’s fit against it across every phase of play, and computes realised value: the share of his worth the system actually recovers.

Fig.02 / Realised value

Vr = Σ wi· φi(S)

The value a declared system S recovers from a player, composed from weighted phase contributions. The weights are the product.

03  /  The method

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

01

Declare

A playing philosophy: what the system asks of a player, in and out of possession.

02

Decompose

Fit is scored phase by phase, channel by channel. Never a single number.

03

Optimise

The engine locates the system in which the player's realised value is highest.

The scoring is the product. The weights stay ours.

04  /  Live

One engine. Every player.
Every system.

Give the engine two systems and the same squad ranks differently in each. A player first in one is fourteenth in another, without kicking a ball. The value a system recovers is computed, not argued.

1
2
3
4
5
6
P-070.94
P-190.88
P-040.71
P-230.66
P-110.63
P-020.52

Illustrative · toggle the system, watch the order resolve

Illustrative · one squad, two declared systems

05  /  What it reads

Fit is not one number.

The engine reads a player in and out of possession, in transition, by channel and by phase. Each contribution is scored where it happens, then composed. A single rating hides the system. Dextant keeps it.

Fig.05 / Decomposition (illustrative)

In possession
Out of possession
Transition
By channel
By phase

06  /  Applications

What a system recovers
is a decision worth money.

Every transfer is a bet on fit. Dextant prices that bet before it is made.

01

Recruitment

Find the system a target already fits, before the fee is paid.

02

Valuation

Price a player by the value a system recovers, not a market average.

03

Squad building

Compose a system around the players already held.

04

Retention

Keep or move on realised value, not reputation.

07  /  Method and limits

What we hold back,
and what we do not.

The scoring method is a trade secret. The limits are not. The model is linear where it is linear. Cross-position comparison is gated. What it does not yet do is named, not hidden.

Model formLinear, bounded
Cross-positionGated
InputsEvent and tracking data
OutputRealised value, 0 to 1
CoverageOne domain, football
MethodTrade secret

08  /  Access

The value is already there.

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

By introduction · reviewed, not sold