Movielogr

movie poster

Rating: 6 stars

Seen 1 time

Seen on: 07/09/2005

View on: IMDb | TMDb

Fantastic Four (2005)

Directed by Tim Story

Action | Science Fiction | Fantasy

Most recently watched by jenerator, sleestakk

Overview

During a space voyage, four scientists are altered by cosmic rays: Reed Richards gains the ability to stretch his body; Sue Storm can become invisible; Johnny Storm controls fire; and Ben Grimm is turned into a super-strong … thing. Together, these “Fantastic Four” must now thwart the evil plans of Dr. Doom and save the world from certain destruction.

Rated PG-13 | Length 106 minutes

Actors

Ralph Winter | Stan Lee | Laurie Holden | Kerry Washington | Chris Evans | Michael Chiklis | Julian McMahon | Peter James Bryant | Kevin McNulty | Doug Abrahams | Gina Holden | Colin Lawrence | Andrew Airlie | Peggy Gormley | David Richmond-Peck | Jessica Alba | Morgan Reynolds | Brenda Crichlow | Daniel Bacon | Lynnanne Zager | Tony Alcantar | Pascale Hutton | Ioan Gruffudd | Donavon Stinson | Maria Menounos | David Parker | Ronnie Renner | Kenny Bartram | Lorena Gale | Jamie Little | Brian Deegan | John Speredakos | Sam Rubin | Jason Schombing | G. Michael Gray | Terry David Mulligan | Jason Diablo | Lou Torres | Ed Hodson | Hamish Linklater | Ron Chartier | Christopher Gordon | Michael Kopsa | Douglas Weston | Douglas Chapman | Nicole Muñoz | Danielle Dunn-Morris | Dee Jay Jackson | Ben Mulroney | Sean Bennett | Jennifer Lothrop | Lauren Sánchez | Penelope Parkes | Ellen Ewusie | Marlaina Mah | Yvonne Myers | Jason Kaufman | Patrick Stoner | Paul Belsito | Hector A. Leguillow | Devon Soltendieck | Preston Thomas Peet | Tony Toscano | Lorna Joan Barrie | Aonika Laurent | Mark S. Allen | Bobby Bysouth | Tre Verhoeven | Juanita Mirehouse | Stefanie Singer | Barbara Christabella | Sanja Banic | Steven Fulani Hart | Bethann Schebece | Maurice Tyson | Jaimie McVittie | Jenni Squair | Lia Salmond | Ylenia Aurucci | Michelle Zembruski | Kathleen Mullan | Georgia Dewson | Sienna Rose | Jon Brady | Taryn Winter Brill | Sara Edwards | Heidi Eng | Jim Ferguson | Sam Hallenbeck | Mike Waco | Marian Etoile Watson | Richard Ho | Dave Holmes | Andrew Hunsaker | Taylor Johnson | Bonnie Laufer-Krebs | Lisa Fuller Magee | Bret Martin | Liam Mayclem | Scott Patrick | Shaheem Reid | Maria Salas | Lee Thomas | Richard Rigby

Viewing Notes

Probably my own fault for having high expectations that this would be good. And while it’s not terrible it’s also not all that great. The story is okay but the casting seems to be an issue for me. Evans provides the only believable character. Maybe Chiklis as well. Very underwhelming for a big budget superhero flick.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Members / Movie Detail )  0.2090
Total Execution Time  0.2105
  GET DATA  
No GET data exists
  MEMORY USAGE  
542,120 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/7682
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.1461 seconds)  (Hide)
0.0008  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '052ca77fd2f8cf738f9937d67c6f584c1a53d56c'
AND `ip_address` = '216.73.216.6' ?>
0.1365  
SELECT GET_LOCK('e08768fec0f92b8ce1363468fd0224b7', 300) AS ci_session_lock ?>
0.0007  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '052ca77fd2f8cf738f9937d67c6f584c1a53d56c'
AND `ip_address` = '216.73.216.6' ?>
0.0004  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 LIMIT 1 ?>
0.0004  
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` = 7682
AND `MV`.`user_id` = 9
 LIMIT 1 ?>
0.0003  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 ?>
0.0014  
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` = 7682
AND `MV`.`user_id` = 9
ORDER BY `date_viewed` DESC ?>
0.0002  
SET SESSION group_concat_max_len = 1024 ?>
0.0006  
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` = 7682 ?>
0.0006  
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` = 7682 ?>
0.0002  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 ?>
0.0003  
SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 7682
 LIMIT 1 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '14'
 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` = 7682
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` = 7682 ?>
0.0004  
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` = 3777
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)