Performance dashboard
Aggregated trends across completed matches, roles, and champions make longer-term patterns easier to see.
Windows desktop application · version 4.5a
Review the match.
Train the pattern.
RONAVEMI turns evidence from a player’s own completed League of Legends matches into understandable reviews, several preparation options, and focused five-game training priorities.
Private pre-release. No public download. No Riot approval or endorsement is claimed.
CURRENT STATUS
Private prototype
4.5aVersion
WindowsPlatform
EUWInitial region
FreeMonetization
- Completed-match analysis
- Player-controlled decisions
- Local-first data handling
- Private Riot review build on request
What RONAVEMI does
Coaching after the game, preparation before the next one.
RONAVEMI is designed for self-analysis across a player’s own match history. It connects performance evidence to a manageable training focus without automating play or dictating a single decision.
Match review
Death Coach and Fight Cluster views connect post-game situations to evidence and learning priorities.
Training blocks
Findings become reviewable five-game priorities instead of an endless list of generic tips.
Preparation options
Champion-pool and draft-preparation views present several static or aggregate options with context and risks.
User flow
A deliberate, player-controlled workflow.
The current build is a private pre-release prototype. A controlled test profile and redacted demonstration package can be supplied to Riot through an agreed secure channel.
- 01
Create a local profile
The player enters their own Riot ID, platform, and region.
- 02
Load permitted data
The player deliberately retrieves account, rank, completed-match, and timeline data through documented Riot API flows.
- 03
Review evidence
Dashboard, match review, and coaching views explain supported patterns; unclear evidence remains labelled as unclear.
- 04
Choose a training focus
RONAVEMI suggests reviewable priorities and several preparation options. The player makes the final decision.
- 05
Control local data
The player can inspect source and freshness information, export profile data, reset derived coaching data, and delete local match or profile data.
Game integrity
Clear boundaries by design.
RONAVEMI supports
- Post-game learning from completed matches
- Longitudinal self-analysis
- Static and aggregate preparation context
- Multiple evidence-backed options
RONAVEMI does not
- Automate gameplay or champion select
- Reveal hidden players or unknown session data
- Calculate an alternative MMR or ELO
- Dictate one mandatory player decision
Data and sources
Local-first, transparent, and gated.
Version 4.5a has no RONAVEMI cloud account, cloud synchronization, telemetry, advertising, or tracking. Profiles, Riot identifiers, completed-match data, timelines, training history, and derived analytics are stored under the user’s Windows account.
Riot data
The private prototype uses Riot Account-v1, Match-v5, League-v4, a Summoner-v4 compatibility fallback, and Riot Data Dragon. Active requests use HTTPS.
API-key handling
A development key entered for private testing is held in process memory for that session and is not intentionally persisted. A production secret will not be embedded in the desktop client.
OP.GG gate
The private build contains an optional OP.GG MCP integration for labelled aggregate metadata. It will not be enabled or distributed publicly unless written permission covers the exact scope.
Contact
Reviewer or privacy question?
RONAVEMI is operated by Joel Standhaft, an individual developer in Germany. Missing postal operator details remain subject to legal review and have not been invented.