Review Analyser Methodology
Menu

Review calibration, not accusation

Methodology and corrections

Review Analyser uses public review metadata to show score tendencies against the wider market. It is context for interpretation, not a claim about quality, honesty, independence, or intent.

What The Tool Shows

Each chart compares a site or reviewer with the wider market for comparable public review rows. Positive values mean the profile scores higher than market average. Negative values mean it scores lower. The result is a score tendency, not a judgement.

The Metric

Bias vs market is the chart metric: average((review score - market score) x 10). Scores are shown as points on a 0-100 scale so a 0.6 difference on a 10-point review scale appears as 6 points.

Data Used

The dataset stores public metadata only: outlet, reviewer, game, platform, genre, publisher, IP type, date, score, market comparator, and source links. It does not store full copyrighted review text.

Minimum Rows

Sites and reviewer profiles need at least 25 usable reviews before they are listed. Filtered platform and genre views also require enough matching rows so small samples do not dominate the chart.

Platform And Genre Signals

Platform filters use platform-only titles and platform-holder publisher or studio evidence. Multiplatform is used when a title is known across 2+ platform families unless ownership gives a clearer signal. Genre filters use broad metadata families, including AAA and Indie segments.

How To Use It

Use the tool to understand fit, source context, and expected scoring patterns. Do not use it to harass reviewers, blacklist outlets, claim proof of bad faith, or reduce a review to one number without reading the original work.

Known Limits

Market averages are not objective truth. Score scales and editorial cultures differ. Automated platform, genre, publisher, and IP labels can be wrong. Older rows may have weaker metadata than recent rows.

Corrections

If a profile, source link, reviewer name, outlet name, score, platform, genre, or ownership classification looks wrong, send the correction with the outlet, game title, source URL, and proposed fix through the contact page.