Movielogr

movie poster

Rating: 7.5 stars

Seen 1 time

Seen on: 05/15/2005

View on: IMDb | TMDb

Unleashed (2005)

Directed by Louis Leterrier

Crime | Drama | Action

Most recently watched by sleestakk

Overview

Raised as a slave, Danny is used to fighting for his survival. In fact, his “master,” Bart, thinks of him as a pet and goes as far as leashing him with a collar so they can make money in fight clubs, where Danny is the main contender. When Bart’s crew is in a car accident, Danny escapes and meets a blind, kindhearted piano tuner who takes him in and uses music to free the fighter’s long-buried heart.

Rated R | Length 103 minutes

Actors

Morgan Freeman | Bob Hoskins | Andy Beckwith | Jet Li | Vincent Tulli | Dylan Brown | Vincent Regan | Phyllida Law | Laurence Ashley | Tamer Hassan | Cyrille Hertel | Thierry Saelens | Georgina Chapman | Affif Ben Badra | Joseph Beddelem | Georges Bouchelagem | Kerry Condon | Michael Jenn | Carole Ann Wilson | Mike Lambert | Jaclyn Tze Wey | Puthirith Chou | Tony Theng | Owen Lay | Franck Xie Cheng | Danielle Louise Harley | Michael Webber | Scott Adkins | Emmanuel Lanzi | Santi Sudaros | Silvio Simac | Seydina Baldé | Rébecca Hazan | Jeff Rudom | Patrick Vo | Alain Figlarz | Christian Gazio | Georges Benoît | Oumar Diaoure | Marc Hoang | Christian Bergner | Michaël Troude | Kazu Patrick Tang | Carlos Bonelli | Vincent Haquin | Patrick Oliver | Ludmila Henry | Frédéric Dessains | Stuart Lawson | Patrick Médioni | Alain Barbier | Vincent Chatelain | Miguel Eduardo Cueva | Ken Chung | Pierre-Quentin Faesch | Pierre Rousselle | William Cagnard | Louis-Marie Nyee | Sylvain Gabet | Alain Grellier | Jean-François Lenogue | Grégory Loffredo | Stéphane Gluck | Frédéric Alhinho | Malki Attar | Serge Beuchat | Michel Bouis | Pascal Lavanchy | Hyggins Sansa | Gilles Louzon | Maurice Chan | Sebastien Soudais | Pascaline Girardot | Pascal Lopez | Matthieu Albertini | Mouloud Ikhaddelene | Alex Lawson | Audifax Kinga | Eric Mondoloni | Vanessa Mateo | Grégory Feurté | Amedéo Cazzella | Valérie Hénin | Christophe Weyer | Tarik Zitouni | Ksénia Zarouba | Nic Stevens | Eric Etje | Karim Hocini | Loïc Molla | Tarick Hadouch | Scott Rider | Clara Creantor | Christelle Senechal | Isabelle Didier | Gwenael Mairey | Ariadna Cascaval | Osana Ekue | Kathy Farkas | Friedrich Hartwig | Victor Izquierdo | Igor Joly-Erard | Sety Diaby | Kamel Tazit | Tyana Raboana | Jean Atonga | Jamal Bellyazid | Serge Gnaly | Fred Zanolino | Michel Flasch | Iouri Zagorski

Viewing Notes

Really like Jet Li in this role, Danny the Dog. Morgan Freeman is mailing it in but that’s fine for the Morgan Freeman role. Overall a very good film with some fun action mixed into the crime drama.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0259
Total Execution Time  0.0273
  GET DATA  
No GET data exists
  MEMORY USAGE  
550,864 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/7674
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0060 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = 'c48e27345c97d61156a07fc0ba2311289fee25e0'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('f64932ccd62569b3c445a0069d6703d1'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'c48e27345c97d61156a07fc0ba2311289fee25e0'
AND `ip_address` = '216.73.216.111' 
0.0003   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` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 7674
AND `MV`.`user_id` = 9
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0001   SET SESSION group_concat_max_len 12288 
0.0020   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_nameAS `genre_name_01`, `G2`.`genre_nameAS `genre_name_02`, `G3`.`genre_nameAS `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 directorsGROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_idsGROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actorsGROUP_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` `MVON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MPON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMTON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRCON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVCON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STRON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMDON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DRON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMAON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACTON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 7674
AND `MV`.`user_id` = 9
ORDER BY 
`date_viewedDESC 
0.0002   SET SESSION group_concat_max_len 1024 
0.0002   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 7674 
0.0002   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MTON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 7674 
0.0002   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` = 7674
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '17'
 
LIMIT 1 
0.0003   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2ON `MV`.`title_id` = `MV2`.`title_idAND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 7674
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0003   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MUON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 7674 
0.0003   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MVON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MTON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 4458
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)