Replay Lab | Lovely Professional University

Media Concept

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REPLAY LAB

- реальные матчи. реальные ошибки. реальный рост.

Replay Lab — an automated gaming media platform designed to develop skills in competitive games. The content is based on real replays submitted by the audience: the system helps identify recurring mistakes, game situations, and patterns, and the editorial team transforms these into analyses, short videos, flashcards, and detailed reports.

Data and Sources Replay Lab

Official Developer Resources

We receive replays, match recordings, and individual gameplay clips through the website form and the Telegram bot. We gather player questions, descriptions of difficulties, and topic suggestions from discussions on Telegram and Discord, comments, and polls.

Replay Lab Players and Community

We gather descriptions of updates, balance changes, and gameplay mechanics from official game websites and developer publications. For each piece of content, we preserve the source and the game version to which the information pertains.

Trainers and Experienced Players

In consultations and interviews, we gather expert commentary on game situations, explanations of decisions, and recommendations. We supplement this with analyses prepared and vetted by the Replay Lab editorial team.

Data schema with segmented processing

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In Replay Lab, machine processing encompasses extracting events and statistics from replays, identifying interesting episodes, and preparing preliminary analyses. Game updates and expert commentary also serve as supplementary sources.

The editor and gameplay expert select episodes, verify context, and confirm conclusions. Based on this verified analysis, automated services prepare drafts of text, video materials, and subtitles.

Before publication, the editor reviews the material for accuracy, clarity, and presentation. After approval, the analyses, videos, and cards are published on the Replay Lab website and platforms.

If the editor finds an error, the material is sent back for revisions. At every stage, the connection to the original replay, the episode’s timestamp, and the game version is maintained.

Automated Services Guidelines

Verifiability of Conclusions.

The analysis service must link every conclusion to its source data: a replay, an episode timestamp, statistics, or an official update description. It is forbidden to invent in-game events, metrics, or explanations. If there is insufficient information, the system must explicitly state that the conclusion requires further verification.

Consideration of Game Context.

When performing analysis, it is necessary to account for the information available to the player at the moment of decision, the team’s status, remaining resources, and the game version. A lost round or player death is not sufficient grounds to declare an error. The system must not evaluate a decision as if the player knew the opponents' positions and the episode’s outcome in advance.

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Separating Facts from Assumptions.

The system must differentiate recorded events from hypotheses about their causes. For example, a player’s death after leaving cover is an observed fact, whereas a poorly timed exit is an assumption that an expert must verify. Only confirmed explanations should form the basis of automatic content generation.

Substantiation of Generalizations.

A single episode may serve as an example for analysis, but it does not prove the existence of a typical error across an entire group of players. Materials regarding recurring patterns must be based on comparable matches, specifying the sample size, maps, player skill level, and game version.

Clear and Respectful Presentation.

The text generator must explain what action influenced the situation and what alternatives were available. Recommendations must be specific and account for the episode’s circumstances. Humiliating players, unsubstantiated accusations of cheating, fabricated quotes, and promises of guaranteed rating growth are unacceptable.

Maintaining Meaning During Editing.

Automatic editing must not distort the sequence of events or remove moments necessary for understanding the player’s decision. Repetitions and slow-motion segments must be explicitly indicated. Subtitles and graphic overlays must correspond to the episode, and generated illustrations cannot be presented as actual match footage.

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Player Data Protection.

When preparing materials, services must exclude personal information and private correspondence that is unrelated to the analysis. The publication of the author’s nickname, voice, and comments must comply with the agreed-upon terms of use for the submitted material.

Mandatory Editorial Review.

The results of text generation, editing, and subtitle creation are considered drafts. The finalized material is submitted to the editor for review of accuracy, clarity, and presentation. If errors are found, it is returned for revision, and publication is only permitted after the final version has been approved.