KINDACRITIC Search 1,070 titles…

How this works

Every number here was spoken aloud on a podcast. This page says exactly how it got from the audio to this site, and where it is uncertain.

Where the data comes from

778 episodes of the Kinda Funny Gamescast and In Review — 1,181 hours — were transcribed with speaker diarisation, and scores, rankings and the sentences around them extracted automatically. The extracted scores were then reviewed against the audio itself, and scores were added or corrected by hand where the extraction missed or misheard one. So the majority of scores were found in transcription, verified by a human — but some may still be missing or wrong. If you spot one, email mat@valdbjorn.com. If a host did not say a number, no number is shown for them. That yielded 1070 titles, 546 scores and 72 franchise rankings. Quoted sentences are lightly cleaned of transcription errors; the score itself is always shown exactly as spoken.

Scores are shown as spoken

Kinda Funny used a 1–5 scale before May 2024 and 0–10 after. Individual scores are always displayed on the scale the critic actually used — a “four out of five” is never rendered as 8/10 beside someone's name. Normalisation happens only in an average. A 1–5 scale has a floor of 2/10 while 0–10 has a floor of 0, so a lifetime mean spanning the change is biased upward; per-era figures appear on every critic page.

What is not done

There is no metascore, no critic consensus and no gap-filling. Only 301 of 1070 titles carry a score at all — the film show ranks rather than rates, and those pages show a rank instead of an invented number.

Known problems in the data

6 scores use an impossible scale (out of 4, 4.6 and 100). Almost certainly transcription errors. They are shown as spoken, marked, and excluded from every average and from structured data:

16 scores could not be matched to a person — usually outside guests. They are shown under the name as spoken, unlinked.

560 media entries are excluded from this site. They came from ranked lists of things that are not works — villains, and in one episode a ranking of walkathon dinners — so “Chili's” and “Licker” are in the database but not published here.

Transcripts

Episode transcripts are machine-generated and contain errors, especially in titles and names. Speaker attribution comes from voiceprints where a host is enrolled and from conversational context otherwise; where the system could not identify a speaker the line reads “Unidentified speaker” rather than guessing a person.