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Film × Television

Where they connect.

Two libraries, one taste. This is where the film and television logs meet—the head-to-head averages, the actors who cross over, and the genres I rate differently on screen than in a series.

Use the filters to narrow both libraries at once. The tiles here don’t click through—each number blends both libraries—so for the reviews behind a visualization, head to the individual film or television stats pages above.

1,019 titles

Films vs. television

777films logged
242seasons rated
2.95★film average
3.24★season average
+0.29★TV vs. film gap

My full film corpus against my rated TV seasons (the primary unit of television ratings).

Genres — film vs. TV

  • Film
  • TV

Shared genres only (≥5 titles logged on each side). Each row is a genre’s film average and its TV average; the bar is the gap. Film = orange, TV = blue.

Crossover actors

Most logged

  1. Nicole Kidman (9f·2t)11
  2. Mark Ruffalo (8f·2t)10
  3. Bill Camp (6f·2t)8
  4. Nick Offerman (5f·2t)7
  5. Julio Torres (4f·2t)6
  6. Sunita Mani (3f·2t)5
  7. Peter Sarsgaard (3f·2t)5
  8. Jason Bateman (3f·2t)5

Highest rated

  1. Sunita Mani (3f·2t)3.49★
  2. Julio Torres (4f·2t)3.44★
  3. Mark Ruffalo (8f·2t)3.19★
  4. Sian Clifford (2f·2t)3.13★
  5. Nick Offerman (5f·2t)3.09★
  6. Bill Camp (6f·2t)3.09★
  7. Connie Britton (2f·2t)3.06★
  8. Jay Ellis (2f·2t)3.03★

In ≥2 films and ≥2 shows. Only top-10-billed roles with at least three episodes for a show to count. The label carries each name’s film·TV split; highest-rated averages over everything logged.

World cinema lean

+0.39★non-English vs. English
+0.12★non-US vs. US
24%international (non-US)

Pooled across both libraries—how non-English and non-US titles rate against domestic ones, and the international share of everything logged.

Languages — logged vs. rated

Most logged

  1. English826
  2. French24
  3. Japanese14
  4. Spanish12
  5. Norwegian6
  6. Italian5
  7. Danish4
  8. Korean3

Highest rated

  1. Japanese3.55★
  2. Spanish3.34★
  3. French3.25★
  4. Danish3.05★
  5. Italian2.99★
  6. Norwegian2.94★
  7. English2.94★

Countries — logged vs. rated

Most logged

  1. United States701
  2. UK77
  3. France25
  4. Canada23
  5. Japan14
  6. Ireland12
  7. Australia11
  8. Spain9

Highest rated

  1. Japan3.47★
  2. Spain3.34★
  3. France3.33★
  4. Belgium3.10★
  5. Denmark3.05★
  6. UK3.01★
  7. United States2.95★
  8. Italy2.90★

Language × country

48language · country pairs
24languages
29countries

The joint view across both libraries: which languages pair with which countries (language leads).

By conglomerate — film vs. TV

AppleSonyParamountNetflixWBDNBCUDisneyIndie+
Titles by conglomerate, split film vs. TV
CategoryFilmTVTotal
Apple71522
Sony23023
Paramount22224
Netflix04040
WBD313162
NBCU442771
Disney582482
Indie+54610556
  • Film
  • TV

Each title rolls up to the conglomerate that owns its studio (film) or network (TV).

Film and television by month

JanFebMarAprMayJunJulAugSepOctNovDec
Films and television logged by month, two bars per month (film, television), each stacked by year
Month and medium2023202420252026Total
Jan · Film012181949
Jan · Television0144422
Feb · Film1323541109
Feb · Television0612624
Mar · Film034212378
Mar · Television089724
Apr · Film024191760
Apr · Television0291324
May · Film012172453
May · Television01381435
Jun · Film18341255
Jun · Television062614
Jul · Film669021
Jul · Television14308
Aug · Film52413042
Aug · Television055010
Sep · Film3247034
Sep · Television047011
Oct · Film25319074
Oct · Television00606
Nov · Film104540095
Nov · Television0616022
Dec · Film1227680107
Dec · Television51912036
  • Film
  • Television

Shade marks the year—lighter 2023 to fuller 2026.

By weekday

MonTueWedThuFriSatSun
Films vs. seasons by weekday
CategoryFilmsSeasonsTotal
Mon14143184
Tue11236148
Wed10628134
Thu7940119
Fri9134125
Sat10223125
Sun14632178
  • Films
  • Seasons

Methodology

  • The same libraries the individual stats pages draw on—Letterboxd for film, Serializd for television—pooled onto one calendar and one 0.5–5★ scale.
  • Television ratings use season data (each show folded to the mean of its rated seasons), so film and TV sit on comparable footing rather than comparing a film to sparse overall show data.
  • “Highest rated” figures are Bayesian-shrunk—a thin sample is eased toward the overall average until enough ratings accumulate, so a lone high mark can’t outrank a consistently strong record.