Set up roster and contexts
Create a team, invite coaches and players, and update the roster as it changes. Matches retain the team and participants from when they were played.
TOOLS FOR COMPETITIVE STAFF
A platform that helps League of Legends coaches and players understand performance, prepare for opponents, and turn matches into development goals.
The product interface after sign-in is currently in Italian; English localization is in progress.
GETTING STARTED
A practical path from setting up a roster to running a useful review.
Create an organization if sign-up is open. Otherwise, ask the platform administrator to enable access for your team.
Add players with the correct start dates, then invite staff and players with the appropriate roles.
Players link their Riot account from their profile to use their ranked history. Official competition data does not require this link.
Official events come from configured imports. Record scrims and create a competition for tournaments that are not covered by the data sources.
Use the dashboard, match day, and draft tools to prepare. After a match, add a review and development goals.
FROM ROSTER TO MATCH DAY
Start with the data you have. Scouting and meta tools remain useful even when individual player data is unavailable.
Create a team, invite coaches and players, and update the roster as it changes. Matches retain the team and participants from when they were played.
Compare strengths, areas to develop, champion pools, and progress over time. Goals and reviews turn observations into practical work.
Use the meta, official matches, available rosters, and player pools for scouting. Pick, ban, and scenario suggestions support the staff’s decisions.
Import available competitive data or add team scrims and tournaments. Link notes, review moments, and follow-up actions.
ONE DATASET, DISTINCT PERSPECTIVES
Sources are stored on the platform to reduce repeated requests to third-party services. Statistics from different contexts are not combined.
League and patch analysis from imported official data, including available international and Italian tournaments.
Player profiles, champion pools, goals, and comparisons between ranked and team matches, kept in separate contexts.
Roster, availability, calendar, scrims, reviews, and training plans in one workspace.
Summaries and questions based on available data; numerical answers are checked against calculated facts.
Optional tools: players control consent and what they share with staff.
Collect compositions, strategies, and practical guidance to reuse in sessions and on match day.
Sources: Oracle’s Elixir, Leaguepedia, and lolpros for competitive data where available and configured; Riot data for linked accounts; staff uploads for matches not covered by those sources.
PRACTICAL QUESTIONS
Yes. Meta, scouting, and imported official competition data remain available. Without a linked account, a player’s ranked history cannot be attributed to them; staff can still upload team matches.
Official international competition, official Italian competition, team matches, and ranked SoloQ/Flex are separate contexts. They can be compared side by side, but their averages and results are not added together as if they were the same kind of match.
Record the outgoing and incoming players with their correct dates, then link the new player’s Riot account if you want to import their ranked history. Existing matches retain their participants and team from when they were played; do not reassign them to the new roster.
Add the match from the Matches and scrims area. Scrims have a dedicated category; staff can create a competition for other tournaments and classify matches so the history can be reviewed by event.
The worker periodically downloads patch data from Data Dragon. Matches keep the patch they were played on, and the dashboard can flag pool champions affected by detected changes. Data Dragon does not expose every balance value; damage-only changes may not be detected.
It depends on the provider configured by the platform operator. With Claude, the question and facts retrieved by tools are sent to Anthropic; with Ollama, data goes to the configured endpoint, which may be remote. The feature can be disabled. Read the privacy notice and do not include personal or health data in prompts.
For details about personal data, AI models, video players, and notifications, read the privacy notice (Italian).
Meta, estimates, and suggestions depend on the data available and sample size. They do not guarantee results or replace a coach’s judgment; the platform shows fewer recommendations when the sample is limited.
READY TO WORK WITH YOUR TEAM?