Guides
The quality of an AI coaching session is largely decided by the prompt and the data you hand it. These guides are working notes on how to use ChatGPT and Claude as a sharp, fast research assistant for solo queue improvement.
Verified pro soloqueue data, analyzed with AI. Every guide cites its match IDs.
Real ranked match data pulled from Faker's public account and run through AI analysis. The actual CS/min, damage share, and vision numbers of a pro, what they teach beginners, and every match ID so you can verify it yourself.
Real Challenger match data from Worlds-winning ADC Gumayusi's public account, run through AI analysis. The actual CS/min, kill participation, damage share, and control-ward counts of a pro ADC, with match IDs you can verify.
How to make ChatGPT and Claude actually analyze your games.
A step-by-step method for getting coach-level analysis of your League of Legends games from ChatGPT or Claude. Why screenshots fail, how to feed structured data, and role-by-role prompts you can copy.
A field-by-field walkthrough of the JSON LoL2LLM hands to ChatGPT or Claude. Knowing what you're sending makes your prompts — and the AI's answers — much sharper.
When to use which of LoL2LLM's five personas, plus the one-line additions that turn a generic answer into a sharp one.
ChatGPT and Claude are excellent at LoL analysis — but they fail in five predictable ways. Here's how to neutralize each with a single prompt addition.
Reading the numbers, and the targets worth aiming for.
Which numbers should a beginner actually aim for to climb in League of Legends? Realistic targets for CS/min, kill participation, vision score, deaths, and damage share by rank and role — and what to fix first.
Read the post-game scoreboard the way a coach would. Role-aware benchmarks, what each number actually measures, and how to combine them before handing the JSON to an AI.
Below Plat, the metrics that move with rank aren't KDA or win rate — they're five much quieter numbers. Improve them and the climb compounds.
Decision-making and positioning, role by role.
Jungle gives the least real-time feedback of any role. The fix is a post-game review framework grounded in your own export — here's the one I use.
An ADC's real job is sustained damage in fights, not staying alive. Four metrics that catch the "safe but useless" pattern KDA can't see.
How vision score is calculated, the per-role targets that actually matter, and the three timing rules that determine where wards go.