Movielogr

Home

movie poster

Rating: 9.5 stars

Tags

Japan

Seen 2 times

Seen on: 01/15/2011, 01/09/2002 (rewatch)

View on: IMDb | TMDb

Battle Royale (2000)

Directed by Kinji Fukasaku

Action | Thriller

Most recently watched by sensoria, sleestakk, sleestakk

Overview

In the future, the Japanese government captures a class of ninth-grade students and forces them to kill each other under the revolutionary “Battle Royale” act.

Rated NR | Length 122 minutes

Actors

Chiaki Kuriyama | Takeshi Kitano | Tatsuya Fujiwara | Aki Maeda | Taro Yamamoto | Kou Shibasaki | Anna Nagata | Masanobu Ando | Yūko Miyamura | Satomi Hanamura | Takayo Mimura | Sousuke Takaoka | Takashi Tsukamoto | Mikiya Sanada | Kanako Fukaura | Yuuki Masuda | Yukihiro Kotani | Eri Ishikawa | Sayaka Kamiya | Aki Inoue | Yutaka Shimada | Ren Matsuzawa | Hirohito Honda | Kazutoshi Yokoyama | Minami | Ryouji Sugimoto | Yasuomi Sano | Shin Kusaka | Ai Iwamura | Shiro Go | Shigeki Hirokawa | Asami Kanai | Mai Sekiguchi | Tsuyako Kinoshita | Satomi Ishii | Sayaka Ikeda | Tomomi Shimaki | Tamaki Mihara | Yukari Kanasawa | Misao Kato | Hitomi Hyuga | Haruka Nomiyama | Takako Baba | Shigehiro Yamaguchi | Yousuke Shibata | Michi Yamamura | Takeyuki Hirai | Tomu Asakawa | Yûya Nakahara | Takashi Komori | Ryôta Nakamura | Akihiro Ugajin | Yôichi Murakami | Tsuguharu Niizaki | Jun'ichi Nashiki | Hiroshi Kitagawa | Hideaki Kawashima | Umiji Tasaki | Hidetsugu Okumura | Daisuke Yazawa | Nobuki Baba | Naoki Iwasawa | Kôji Tokuhisa | Kazuhiro Yokokura | Shigeki Homma | Kazuo Araki | Gôshi Matsuhara | Akira Yoshizawa | Kenzo Shirahama | Kanji Okumura | Shôji Takano | Hajime Yoneda | Hideaki Kojima | Gou Ryugawa | Ken Nakaide | Gouki Nishimura | Osamu Ohnishi | Satoshi Yokomichi | Junichi Naitou | Mitsuaki Tachikawa | Takashi Taniguchi | Ryou Nitta | Ai Maeda

Viewing Notes

My Battle Royale (2000) blu-ray set, courtesy of Arrow Films, finally arrived a couple of days ago from Amazon UK. Cannot emphasize what an amazing Limited Edition set this is. Even more amazing was the minimal price to obtain. My edition is #73 of 10,000, the lowest number I’ve seen among my friends. Anyways, been looking for an excuse to watch one of my favorite films again. And, man, does it ever look great on blu-ray. No need to go into film details as I’m sure you’ve already seen it. Right?!

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0438
Total Execution Time  0.0452
  GET DATA  
No GET data exists
  MEMORY USAGE  
548,752 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/9058
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0067 seconds)  (Hide)
0.0003   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('e85a7d1255521594ad4e8a5264f1d53b', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 LIMIT 1 
0.0003   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 9058
AND `MV`.`user_id` = 9
 LIMIT 1 
0.0004   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0026   SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_name` AS `genre_name_01`, `G2`.`genre_name` AS `genre_name_02`, `G3`.`genre_name` AS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directors, GROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_ids, GROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actors, GROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MP` ON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1` ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2` ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3` ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMT` ON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRC` ON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVC` ON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STR` ON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMD` ON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DR` ON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMA` ON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 9058
AND `MV`.`user_id` = 9
ORDER BY `date_viewed` DESC 
0.0002   SET SESSION group_concat_max_len = 1024 
0.0003   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EV` ON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 9058 
0.0003   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MT` ON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 9058 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 9058
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '21'
 LIMIT 1 
0.0003   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2` ON `MV`.`title_id` = `MV2`.`title_id` AND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 9058
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC 
0.0002   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MU` ON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 9058 
0.0002   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MV` ON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MT` ON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 5026
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)