League of Legends Item Optimizer

Stop Guessing.
Start Winning.

TheorIQ uses data science to find the most gold-efficient items for your specific matchups. Think Moneyball for League — we analyze what stats actually win games, not just what's popular.

See it in action

Intelligent Build Recommendations

See exactly why each item is recommended with transparent win rate data and matchup-specific analysis.

TheorIQ main interface showing champion selection and build recommendations

Smart Build Generator

Select your champion and enemy team comp to get optimized item recommendations with win rate advantages.

TheorIQ build reasoning panel showing detailed item analysis

Transparent Reasoning

Every recommendation comes with detailed matchup data — see win rates per enemy champion and understand the stats behind each item.

The Science of Winning

We decompose builds into statistical vectors to find optimal gold efficiency against any team composition.

Matchup Analysis

Analyzes enemy team composition to identify damage types, threat levels, and optimal counter-stats you need to prioritize.

Gold Efficiency

Finds the most cost-effective items to deliver the stats you need. Maximize your power spikes without wasting gold.

Win Rate Data

Real match data powers every recommendation. See actual win rates for items against specific champions, not generic tier lists.

How TheorIQ Works

A data-driven approach to item optimization in three simple steps.

1

Input Your Matchup

Select your champion and enter the enemy team composition. TheorIQ immediately begins analyzing damage profiles and threat assessment.

2

Statistical Decomposition

We break down meta builds and matchup-specific data into stat vectors, identifying exactly which attributes counter your opponents most effectively.

3

Optimized Recommendations

Our solver finds the most gold-efficient combination of items to deliver those stats, showing you win rate deltas compared to popular builds.

Ready to Optimize?

TheorIQ is currently in development. Be among the first to gain the statistical edge when we launch.

Coming Soon