Best open restaurants Sagamihara on Saturday evening near you

Nearby open restaurants and hours for food in Sagamihara Japan on Saturday evening: Secure a table before rush hour at the most popular open restaurants near you.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated restaurants.

AI
(Ramen restaurant)
4089-2 Kami-Mizu
3.7

Ramen Yamaokaya Sagamihara Shop is most popular around 12 PM on Fridays. Visitors usually stay 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Sushi restaurant)
1 Chome-6-6 Fujimi
3.9

Uobei Sagamihara Fujimi is most popular around 7 PM on Saturdays. Visitors usually stay 45 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
4 Chome-8-2 Tadao
4.0

West Machida is most popular around 12 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
3 Chome-7-6 Fujimi
4.0

Katsusen Sagamihara is most popular around 7 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
第三清水ビル 1F
4.3

Melting Hamburger Steak Fukuyoshi Sagamihara Honten is most popular around 7 PM on Wednesdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
5 Chome-2 Oyamagaoka Machida, Tokyo 194-0215 Japan
4.1

La Ohana is most popular around 6 PM on Sundays. Visitors usually stay 1-2,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.



Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Sagamihara, Japan. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.