Measure the Shape
Five normalized metrics form a five-dimensional statistical profile. Centering the measurements reveals relative strengths and weaknesses.
◆ PLAYER ANALYTICS · 2026
Baseball Analytics
Made Simple.
Five core metrics. One statistical profile.
THE MODEL
Five metrics. One player profile.
TiMBaseball starts with five familiar, meaningful statistics and normalizes them to a common 0–10 scale, creating a consistent statistical portrait of each player.
FIVE-METRIC PROFILES · NORMALIZED 0–10
PLAYER PROFILE A
PLAYER PROFILE B
↓
PLAYER PROFILE
OVERALL
7.4
Statistical profile
XP
1086
Production context
PLAYER ARCHETYPES
Every player has a statistical fingerprint.
Two players can have different Overall Scores while sharing a remarkably similar statistical shape. TiMBaseball looks beyond performance to identify the structure of a player's profile.
Find the Pattern
Statistical geometry reveals recurring profile structures. By studying hundreds of player profiles, TiMBaseball identifies recurring statistical patterns that help define different types of hitters.
Identify the Archetype
Each player's profile is compared with a dictionary of representative shapes. Geometric distance identifies the closest statistical archetype.
THE DISTINCTION
Overall measures performance.
Archetype describes statistical identity.
Different levels of performance can share the same underlying statistical shape.
BEYOND THE SCORE
Don't just measure the player.
Understand the profile.
TiMBaseball uses the same core player profile to explore change, comparison, similarity and context.
Trend Analysis
See what changed from season to season and which parts of the profile drove it.
Player Compare
Put two statistical profiles side by side and see where each player has the advantage.
Similar Profiles
Five-dimensional profile geometry finds players with similar statistical shapes.
EUCLIDEAN DISTANCE · 5D
Fantasy Edge
Identity, State and Value help translate the underlying measurements into context.
THE PHILOSOPHY
Enough to dive into.
Enough to dive into.
Not enough to overwhelm.
Modern baseball provides an enormous amount of data. TiMBaseball takes a deliberately narrower approach: start with a few solid core measurements, build a consistent profile, then add context where it helps.
The result is an analytics system designed to help you see the player without making you stare at the entire spreadsheet.
01
Measure
Core statistics
02
Profile
Overall + XP
03
Compare
Geometry + context
04
Interpret
Understand the player
BUILT IN THE GARAGE · TESTED WITH DATA
Current Research
The models are continuously tested against player populations, historical movement and alternative approaches.
XP Divergence
Examining the relationship between production and expected production from the Overall profile.
Forward Validation
Testing whether Fantasy State classifications separate subsequent player outcomes.
Overall Divergence
Comparing players against statistically similar profiles using nearest-neighbor geometry.
Park Factor Analysis
Measuring how offensive environments affect Batter Analyzer Overall Scores.
RESEARCH MATERIALS
Methodology documents, validation studies and supporting analysis.