S80 DNA · v2 calibration

What could he
actually become?

The five tools are the visible layer. Underneath, S80 now separates bat-to-ball skill, swing decisions, game power, age-adjusted production, defensive value and development trajectory—lessons pulled directly from our first 50-player historical backtest.

50historical cases
11live examples
9DNA signals
2ceiling + floor
Calibration, not prophecyWe are publishing the logic while we sharpen it.

Scores are experimental S80 outputs. Traditional grades are attributed to the source; S80 context inputs are our own calibration layer. Exact outcome probabilities remain intentionally off until the historical sample is larger.

See the backtest →
Current board

The engine,
under pressure.

These examples are designed to stress different archetypes: balanced shortstops, contact-first players, corner bats, trajectory risers and loud-tool profiles with bottleneck risk.

11shown
S80 Compare

Same rank conversation.
Different future paths.

Choose two players. The comparison emphasizes the signals our historical work says a simple five-tool average tends to hide.

VS
DNA v2 architecture

The tool card is no longer the model.

Our first backtest showed that loud tools can average away fatal weaknesses. S80 v2 separates the skills that drive offensive translation and adds a bottleneck penalty when contact probability becomes the limiting factor.

DNA = Contact 16 + Decisions 12 + Game Power 18 + Age Production 15 + Age/Level 10 + Position/Defense 10 + Run 5 + Physical 5 + Trajectory 9
Bat-to-ball16%
Swing decisions12%
Game power / impact18%
Age-adjusted production15%
Age vs. level10%
Position / defense10%
Run value5%
Physical projection5%
Development trajectory9%
The goal isn't to be different from consensus. It's to be better calibrated than consensus.
S80 Research

See why the engine changed.

We mapped 50 prospects from the 2015–2021 drafts against their eventual MLB outcomes. The misses are more valuable than the easy wins.

Open the research lab →