About Value Board
Value Board is a tool for assesing player value relative to their contracts. It allows you to toggle between two impact metrics to form the 'base' of the evaluation, LEBRON and DARKO. All monetary values(% of the salary cap, estimated 'cost' per win) are normalized according to the salary cap for the corresponding seasons
Data & Credits
- LEBRON impact metric — Basketball Index (BBI) / fanspo. https://fanspo.com/bbi-role-explorer/lebron
- Offensive Archetype & Defensive Role classifications — Basketball Index.
- DARKO DPM — created by Kostya Medvedovsky (darko.app).
- DARKO valuation methodology — adapted from Seth Partnow's The Midrange Theory (Ch. 7) and an implementation by Steph Noh. https://github.com/StephenNoh/nbasalarymodel/blob/main/README.md
Methodology
Why cap%? Because the implications of any contract depend entirely on the payroll. A 20 million a year contract in 2016-16 was worth nearly 29% of the cap, superstar max territory. That same 20 million is under 13% of the cap in 2025-26. Using cap % allows us to bypass this problem, since instead of comparing raw dollars, we are essentially comparing how much of the available payroll a contract is taking. This makes cross era contract comparisons significantly more valuable.
Surplus Wins The estimated wins added by a player relative to the contract. To calculate this, you need to estimate the 'cost' of a win each season based on the cap environment. Then, it's essentially fancy division, with the players estimated wins added via the corresponding impact metric subtracted by the win cost of their current salary(ie WAR - (salary/wincost))
Surplus Cap Value same as the above, with the wins converted to dollars, then cap % using that same win cost estimate.
Production Value (% Cap) This is essentially WAR converted into cap form. (WAR /win-cost)
Two valuation models, one framework. LEBRON's wins-above-replacement estimate (WAR) is sourced directly from Basketball Index — it was not calculated. DARKO ships a rating (DPM) but no wins translation, so I used this proxy: (minutes / 1475) × (DPM + 3), along with a sliding scale based multiplier (+10% bonus for MVP-caliber, -10% penalty for replacement-level players) following the general approach used by Steph Noh in the explanation linked above. As this is primarily a backwards facing tool, I use the win cost value associated with the corresponding season.
Limitations & Disclaimers
- The DARKO valuation is my own construction not an official DARKO output — make sure you don't treat it as such.
- The Projection tab is based on transposition not prediction. It takes the selected player season, calculates their estimated value add for that season, then adjusts that value based on the contract average/selected season. Ie it's not 'Jalen Williams will be this valuable in 2027'. It's, 'If Jalen Williams plays like he did in 2025, he will produce this much value relative to inputted contract structure'.
- Distribution groups with fewer than 8 player-seasons are excluded. This is only relevant regarding some Offensive/Defensive Role Designations from Bball Index.
DARKO and DARKO based value calculations are going to be significantly stronger in capturing impact over a multi season span than a single season span. Which is true for impact metrics generally(bigger samples just help a lot here), but is especially true for DARKO given that the model is designed as a predictive, forward facing estimate.