Charts: Lists

This page shows you the list charts. By default, the movies are ordered by how many times they have been marked as a favorite. However, you can also sort by other information, such as the total number of times it has been marked as a dislike.

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  1. ICM's Hate it or Love it > 1000 checks's icon

    ICM's Hate it or Love it > 1000 checks

    Favs/dislikes: 2:0. Methodology: Love it or hate it movies are official movies with a high Fav% but a relatively low Fav/Dis. All credit to Coryn on ICMForum.com for making this list. As of 2/7/2021.
  2. IDFA Award for Best Feature-Length Documentary's icon

    IDFA Award for Best Feature-Length Documentary

    Favs/dislikes: 2:0. This list contains all winners of the feature-length competition held at the yearly International Documentary Film Festival Amsterdam (IDFA), which started in 1988. In 1988 there was a tie between two films, [url=https://www.icheckmovies.com/movies/birthplace+unknown/]Birthplace Unknown[/url] and [url=https://www.icheckmovies.com/movies/kghziner/]Kghziner (Islands)[/url].
  3. Il Cinema Ritrovato 2019's icon

    Il Cinema Ritrovato 2019

    Favs/dislikes: 2:0. Films playing at the Il Cinema Ritrovato 2019 in Bologna, Italy
  4. Im Kwon-taek filmography's icon

    Im Kwon-taek filmography

    Favs/dislikes: 2:0.
  5. IMDb 25: Top 25 Movies by User Rating From the Last 25 Years's icon

    IMDb 25: Top 25 Movies by User Rating From the Last 25 Years

    Favs/dislikes: 2:0. To honor IMDb's 25th anniversary, we're looking back at the movies that our users have championed the most over the years. We've compiled the top 25 movies by year from 1990 to 2014 according to all-time user ratings averages. The films here may run the gamut of genres, ratings, leading actors, directors, and even countries. But they all resonate deeply with you, our faithful IMDb users. — Giancarlo Cairella
  6. IMDb: Highest-rated TV Episodes 1970-1979 with 100+ Votes, minimum rating 7.8's icon

    IMDb: Highest-rated TV Episodes 1970-1979 with 100+ Votes, minimum rating 7.8

    Favs/dislikes: 2:0. As of April 12, 2013
  7. IMDb: Highest-rated TV Episodes 1990-1999 with 100+ Votes, minimum rating 8.7's icon

    IMDb: Highest-rated TV Episodes 1990-1999 with 100+ Votes, minimum rating 8.7

    Favs/dislikes: 2:0. As of April 15, 2013
  8. IMDb Lowest Rated Movies's icon

    IMDb Lowest Rated Movies

    Favs/dislikes: 2:0. Claim none of this work as my own - only porting IMDb's list to ICM with biweekly updates. from IMDb: [quote]The Lowest Rated Movie list only includes theatrical features. Shorts, TV movies, and documentaries are not included. The list is ranked by a formula which includes the number of ratings each movie received from users, and value of ratings received from regular users. To be included on the list, a movie must receive ratings from at least 10,000 users.[/quote]
  9. IMDB Shadow Top 100's icon

    IMDB Shadow Top 100

    Favs/dislikes: 2:0. The Shadow Top 100 contains the titles that have disappeared from the IMDb Top 250 but have been on it longest. These are the titles with the highest recurrence.
  10. IMDb Top 10,000 adjusted to my specifications (Part I)'s icon

    IMDb Top 10,000 adjusted to my specifications (Part I)

    Favs/dislikes: 2:0. . A little number game. What have I done? . On April 9, 2023 I pulled data from IMDb ( www.imdb.com/interfaces/ ). Now the data does not all fit in a csv or excel file. That's why I decided to use Power Pivot to filter out the film types (movie, short, tv-MiniSeries, tv-Movie) that are most important to me. So I had a list of over 90,000 films. (I only included films with at least 250 votes and a rating of 2.5). . Basically, my focus is on the type "movie". . Therefore, in the first step of my specification, I assigned malus points (penalty points, minus points) for "shorts", "tv-MiniSeries" and "tv-Movies" as well as for the genres "Adult" and "Documentary". In the case of the "shorts", the penalty points even increased the shorter the film is. In my opinion, I only accept a film that is longer than 5 minutes. . In the second step, I gave plus and minus points depending on data ("most favorite movies" and "most official lists") on ICM ( www.icheckmovies.com/ ). . In the third step, I then also added a weighting by year to account for the significant distortion of timeliness in online vote counts. This weight was "votes x (1+((1977 minus the release year of the movie)/100)". I copied this great idea (adapted a bit at my discretion) from the Letterboxd user Prof. Ratigan. . I chose the year 1977 because from 1977 the VHS format for video recorders became more and more established and the home video recorder market became established as a result. . In the fourth step, I used the IMDb formula* for the "weighted rating" to adjust the film rating I had already specified. . *weighted rating (WR) = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C where: R = my specified average for the movie (mean) = (Rating) v = my specified number of votes for the movie = (votes) m = minimum votes required to be listed in the Top 10,000 (currently 999) C = the minimum vote across the whole report (currently 4.9) . And now the following is the result, have fun with it.
  11. IMDb Top 10,000 adjusted to my specifications (Part II)'s icon

    IMDb Top 10,000 adjusted to my specifications (Part II)

    Favs/dislikes: 2:0. . A little number game. What have I done? . On April 9, 2023 I pulled data from IMDb ( www.imdb.com/interfaces/ ). Now the data does not all fit in a csv or excel file. That's why I decided to use Power Pivot to filter out the film types (movie, short, tv-MiniSeries, tv-Movie) that are most important to me. So I had a list of over 90,000 films. (I only included films with at least 250 votes and a rating of 2.5). . Basically, my focus is on the type "movie". . Therefore, in the first step of my specification, I assigned malus points (penalty points, minus points) for "shorts", "tv-MiniSeries" and "tv-Movies" as well as for the genres "Adult" and "Documentary". In the case of the "shorts", the penalty points even increased the shorter the film is. In my opinion, I only accept a film that is longer than 5 minutes. . In the second step, I gave plus and minus points depending on data ("most favorite movies" and "most official lists") on ICM ( www.icheckmovies.com/ ). . In the third step, I then also added a weighting by year to account for the significant distortion of timeliness in online vote counts. This weight was "votes x (1+((1977 minus the release year of the movie)/100)". I copied this great idea (adapted a bit at my discretion) from the Letterboxd user Prof. Ratigan. . I chose the year 1977 because from 1977 the VHS format for video recorders became more and more established and the home video recorder market became established as a result. . In the fourth step, I used the IMDb formula* for the "weighted rating" to adjust the film rating I had already specified. . *weighted rating (WR) = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C where: R = my specified average for the movie (mean) = (Rating) v = my specified number of votes for the movie = (votes) m = minimum votes required to be listed in the Top 10,000 (currently 999) C = the minimum vote across the whole report (currently 4.9) . And now the following is the result, have fun with it.
  12. IMDB Top 25 Box Office of 2014's icon

    IMDB Top 25 Box Office of 2014

    Favs/dislikes: 2:0.
  13. IMDb Top 250 (1996)'s icon

    IMDb Top 250 (1996)

    Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1996.
  14. IMDb Top 250 (1997)'s icon

    IMDb Top 250 (1997)

    Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1997.
  15. IMDb Top 250 (1998)'s icon

    IMDb Top 250 (1998)

    Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1998.
  16. IMDb Top 250 (1999)'s icon

    IMDb Top 250 (1999)

    Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1999.
  17. IMDb Top 250 (2000)'s icon

    IMDb Top 250 (2000)

    Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2000.
  18. IMDb Top 250 (2002)'s icon

    IMDb Top 250 (2002)

    Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2002.
  19. IMDb Top 250 (2004)'s icon

    IMDb Top 250 (2004)

    Favs/dislikes: 2:0. "This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2004."
  20. IMDb Top 250 (2005)'s icon

    IMDb Top 250 (2005)

    Favs/dislikes: 2:0. "This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2005."
  21. IMDb Top 250 (2006)'s icon

    IMDb Top 250 (2006)

    Favs/dislikes: 2:0. "This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2006."
  22. IMDb Top 250 (2007)'s icon

    IMDb Top 250 (2007)

    Favs/dislikes: 2:0. This badge is awarded for rating 100% of the IMDb Top 250 of 2007 as of December 31st, midnight PST.
  23. IMDb Top 250 (2008)'s icon

    IMDb Top 250 (2008)

    Favs/dislikes: 2:0. This badge is awarded for rating 100% of the IMDb Top 250 of 2008 as of December 31st, midnight PST.
  24. IMDb Top 250 (2009)'s icon

    IMDb Top 250 (2009)

    Favs/dislikes: 2:0. "This badge is awarded for rating 100% of the IMDb Top 250 of 2009 as of December 31st, midnight PST."
  25. IMDb Top 250 (2010)'s icon

    IMDb Top 250 (2010)

    Favs/dislikes: 2:0. This badge is awarded for rating 100% of the IMDb Top 250 of 2010 as of December 31st, midnight PST.
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