Guides
LoL2LLM Guides
These guides are working notes on how to use ChatGPT and Claude as a sharp, fast research assistant for solo queue improvement.
Real Pro Data
5 guidesVerified pro soloqueue data, analyzed with AI. Every guide cites its match IDs.
CassiopeiaFaker's Real Soloqueue Stats, Analyzed by AI: What Pro Numbers Actually Look Like
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.
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JhinWhat Are a Pro ADC's CS/min, KP, and Vision Numbers? Gumayusi's Real Data, AI-Analyzed
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.
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CamilleWhat Are a Pro Support's Vision Score and Control Ward Numbers? Keria's Real Data, AI-Analyzed
Real Grandmaster match data from T1 support Keria's public account, pulled via Riot's official API and run through AI analysis. The actual vision score, control ward counts, and kill participation of a pro support, plus what to track when CS/min doesn't apply, with match IDs you can verify.
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Twisted FateWhat Are a Pro Top Laner's CS/min and Kill Participation? Kiin's Real Data, AI-Analyzed
Real Grandmaster match data from Gen.G top laner Kiin's public account, pulled via Riot's official API and run through AI analysis. The actual CS/min, kill participation, and damage share of a pro top laner, and why KP runs so much lower in the 'island' lane, with match IDs you can verify.
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QiyanaWhat Are a Pro Jungler's CS/min and Kill Participation? Oner's Real Challenger Data, AI-Analyzed
Real Challenger match data from T1 jungler Oner's public account, pulled via Riot's official API and run through AI analysis. The actual CS/min, kill participation, and damage share of a pro jungler, and why jungle farm runs lower while KP runs higher, with match IDs you can verify.
(English)AI Workflow
4 guidesHow to make ChatGPT and Claude actually analyze your games.
AhriHow to Analyze Your LoL Games with ChatGPT: A Complete Guide with Copy-Paste Prompts
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.
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OriannaEvery JSON Field LoL2LLM Exports, and Why It Matters
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.
(English)JhinThe Best Prompts for ChatGPT and Claude to Analyze a LoL Match
When to use which of LoL2LLM's five personas, plus the one-line additions that turn a generic answer into a sharp one.
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AuroraWhy AI Coaches Sometimes Give Bad LoL Advice (and How to Prompt Around It)
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.
(English)Stat Fundamentals
4 guidesReading the numbers, and the targets worth aiming for.
GarenLoL Beginner Stat Targets: What Numbers to Aim For by Rank (CS/min, KP, Vision, Deaths)
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.
(English)AhriHow to Read LoL Match Stats: KDA, CS, Vision, and Damage Share
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.
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SamiraWhat Is KDA? How to Calculate It and What Counts as a Good KDA
How KDA is calculated in League of Legends, what a good KDA looks like by rank and role, and why chasing KDA alone will mislead your climb — plus what to look at instead.
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AnnieFive Stats That Actually Correlate With Rank in Iron–Gold
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.
(English)By Role
4 guidesDecision-making and positioning, role by role.
Lee SinJungle Pathing 101: Evaluate Your Jungle Game From the Match Data
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.
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JinxADC Positioning: What KDA Hides and Damage Share Reveals
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.
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ThreshVision Score by Role: It's Not Just the Support's Job
How vision score is calculated, the per-role targets that actually matter, and the three timing rules that determine where wards go.
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RenektonWave Management 101: Freezing, Slow Pushing, and Crashing
The single biggest skill gap in League of Legends laning is minion wave management. A beginner-friendly breakdown of the three actions — freeze, slow push, crash — when to use each, and how to spot your own wave mistakes from CS difference with AI.
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