Movielogr

movie poster

Rating: 7 stars

Seen 1 time

Seen on: 10/08/2011

View on: IMDb | TMDb

Real Steel (2011)

Directed by Shawn Levy

Science Fiction

Most recently watched by Javitron, noahphex, jenerator, sensoria

Overview

Charlie Kenton is a washed-up fighter who retired from the ring when robots took over the sport. After his robot is trashed, he reluctantly teams up with his estranged son to rebuild and train an unlikely contender.

Rated PG-13 | Length 127 minutes

Actors

Hugh Jackman | James Rebhorn | Hope Davis | Evangeline Lilly | Karl Yune | Miguel Sandoval | Phil LaMarr | John Gatins | Anthony Mackie | Ben Bray | David Alan Basche | Peter Carey | D.B. Dickerson | Kevin Durand | John Hawkinson | Kevin Dorman | Olga Fonda | Richard Goteri | Ron Causey | Tim Holmes | Gregory Sims | Dan Lemieux | Dakota Goyo | John Manfredi | Alan D. Purwin | Mike Ancrile | Sophie Levy | Tess Levy | Kirstie Munoz | Jahnel Curfman | Kef Lee | Leah Barkoff | Jojuan Westmoreland | Taris Tyler | Torey Adkins | Ricky Wayne | Anton Narinskiy | Chris Newman | Ken Alter | Logan Fry | Wayne E. Brown | Clark Birchmeier | Shane Hagedorn | Amanda Wright | Brad Leo Lyon | Julian Gant | Leilani Barrett | Joshua Ray Bell | Justin Calkins | Johnny Flynn | Megan Grant | J.J. Green | Mary Magyari | Megan Mockensturm | Wendy Paquette | Dwight Sora | Rima Fakih | Gary T. Jones

Viewing Notes

My kids wanted to see this, but I almost bailed on the rest of the family to catch a concurrent showing of Drive, sticking my wife with the kids. Instead, my wife and I decided we’d catch a later showing of Drive for a mini-date night and take one for the family.

I have to admit I was rolling my eyes at the typical “down-on-his luck, heart of gold, estranged father who just wants one more chance to do right by his kid even if he doesn’t know it” routine, and with good reason. It’s a tired, boring cliche. I was really ready to write off the whole movie in the first 15 minutes.

Fortunately for everyone involved, it got better after that. For one, Hugh Jackman actually does a pretty good job of playing the irredeemable asshole father. He doesn’t make very many apologies and when he does, it’s not some eloquent, out-of-character speech like we typically get. Jackman’s character’s lines are actually pretty suited to the character more or less throughout, which is kind of refreshing.

Second, I fell for the goddamn punch drunk robot. I’m a cynic when it comes to underdog stories, and I wanted to hate the metal bastard. Instead, I found myself inexorably drawn into rooting for the little guy. It’s difficult to instill humanity in a robot, but Real Steel manages to pull it off, with no real emotiveness on the part of the robot.

I can say unhesitatingly that I enjoyed Real Steel more than both Thor and Green Lantern combined.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0274
Total Execution Time  0.0289
  GET DATA  
No GET data exists
  MEMORY USAGE  
542,776 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/7225
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0078 seconds)  (Hide)
0.0005  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '54501fb77a9c844a96e49694fb70667278400bdc'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('5b584dd57005c1eb828815281dbcc8fd', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '54501fb77a9c844a96e49694fb70667278400bdc'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 LIMIT 1 ?>
0.0018  
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` = 7225
AND `MV`.`user_id` = 1
 LIMIT 1 ?>
0.0005  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 ?>
0.0002  
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_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` = 7225
AND `MV`.`user_id` = 1
ORDER BY `date_viewed` DESC ?>
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` `EV` ON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 7225 ?>
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` = 7225 ?>
0.0004  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 ?>
0.0002  
SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 7225
 LIMIT 1 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '16'
 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` = 1
AND `MV`.`movie_id` = 7225
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` = 7225 ?>
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` = 3442
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)