Movielogr

Home

movie poster

Rating: 3.5 stars

Seen 1 time

Seen on: 01/15/2012 (rewatch)

View on: IMDb | TMDb

Thor (2011)

Directed by Kenneth Branagh

Fantasy | Action | Science Fiction

Most recently watched by krazykat, Javitron, noahphex, zombiefreak, tylermager, noahphex, jenerator, suspectk, sensoria

Overview

Against his father Odin’s will, The Mighty Thor - a powerful but arrogant warrior god - recklessly reignites an ancient war. Thor is cast down to Earth and forced to live among humans as punishment. Once here, Thor learns what it takes to be a true hero when the most dangerous villain of his world sends the darkest forces of Asgard to invade Earth.

Rated PG-13 | Length 115 minutes

Actors

Adriana Barraza | Natalie Portman | Stellan Skarsgård | Samuel L. Jackson | Anthony Hopkins | Stan Lee | Clark Gregg | Jim Palmer | Colm Feore | Joel McCrary | Richard Cetrone | Tadanobu Asano | Rene Russo | Matt Battaglia | Jeremy Renner | Idris Elba | Dale Godboldo | J. Michael Straczynski | Douglas Tait | Kat Dennings | Ray Stevenson | Joseph Gatt | Jaimie Alexander | Chris Hemsworth | Josh Dallas | Joshua Cox | Jamie McShane | Patrick O'Brien Demsey | Tom Hiddleston | Rob Mars | Darren Kendrick | Shawn-Caulin Young | Vanessa Bednar | Luke Massy | Dakota Goyo | Buddy Sosthand | Maximiliano Hernández | Jason Camp | Hilary Pingle | Blake Silver | Carrie Lazar | Juliet Lopez | Harley Graham | Walt Simonson | Alexander Wright | Ted Allpress | Kinsey McLean | Stephen Oyoung | Seth Coltan | Justice Jesse Smith | Isaac Kappy | Matthew Ducey | Ryan Schaefer | Kelly Hawthorne | Michelle Csitos

Viewing Notes

Thor is a great example of a movie I enjoy quite a bit but can’t seem to shake the pretty obvious flaws in the final product. Too much time wasted on Earth, no chemistry between Jane Foster and Thor despite great charisma separately by both actors, and a finale that I think doesn’t make a lot of sense thematically especially when you consider the forthcoming Avengers movie. Also enough dutch angles to last a lifetime, they become much more apparent on subsequent viewings. There’s still quite a bit to like regardless of the drawbacks. The world of Asgard is fun in kind of a cheesy way and the mythological world based history is detailed and rich with possibilities for future installments. The father-son drama between Odin, Thor, and Loki works pretty well with Branagh’s clear Shakespearean influence. Speaking of Loki, Tom Hiddleston might play the best villain thus far in the Marvel Universe.

While I enjoyed the hell out of Thor, the great parts don’t quite add up to a great whole.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0016
Controller Execution Time ( Members / Movie Detail )  0.0237
Total Execution Time  0.0253
  GET DATA  
No GET data exists
  MEMORY USAGE  
551,248 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/tylermager/movie_detail/8986
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0063 seconds)  (Hide)
0.0003   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'af7d79bd058c0fcaed76a556b868f8d16e958908'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('0723728af18f4683c9b4d7fc4908a2d1', 300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'af7d79bd058c0fcaed76a556b868f8d16e958908'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'tylermager'
 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` = 8986
AND `MV`.`user_id` = 39
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 39
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0022   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_five_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` = 8986
AND `MV`.`user_id` = 39
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` = 8986 
0.0002   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` = 8986 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 39
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 39
AND `MV`.`movie_id` = 8986
 LIMIT 1 
0.0001   SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '16'
 LIMIT 1 
0.0004   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` = 39
AND `MV`.`movie_id` = 8986
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC 
0.0003   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` = 8986 
0.0003   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` = 2155
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)