Android application TIMER stopwatch workout:tabata developed by Magic Studio, Inc. is listed under category Tools. According to Google Play TIMER stopwatch workout:tabata achieved more than 100,000 installs. TIMER stopwatch workout:tabata currently has 264 ratings with average rating value of 4.59. The current percentage of ratings achieved in last 30 days is 0.16%, percentage of ratings achieved in last 60 days is 0.33%. TIMER stopwatch workout:tabata has the current market position #168975 by number of ratings. A sample of the market history data for TIMER stopwatch workout:tabata can be found below. Last update on 2024-09-02.
| Title: | TIMER stopwatch workout:tabata |
|---|---|
| Developer: | Magic Studio, Inc. |
| Category: | Tools |
| Price: | Free |
| System: | Android |
| Total ratings: | 264 |
|---|---|
| Growth (30 days): | 0.16% |
| Growth (60 days): | 0.33% |
| Average rating: | 4.59 |
| Installs (achieved): | 100,000+ |
|---|---|
| Installs (estimated): | 162,962 |
| 5 star ratings: | 211 |
|---|---|
| 4 star ratings: | 0 |
| 3 star ratings: | 52 |
| 2 star ratings: | 0 |
| 1 star ratings: | 0 |
Screenshots
Download level stats
| 2022-12-22: | Android application TIMER stopwatch workout:tabata achieved 100,000 installs. |
|---|---|
| 2021-09-01: | Android application TIMER stopwatch workout:tabata achieved 50,000 installs. |
| 2020-10-15: | Android application TIMER stopwatch workout:tabata achieved 10,000 installs. |
Ratings
Number of ratings for TIMER stopwatch workout:tabata.
Number of ratings for TIMER stopwatch workout:tabata.
Installs (*estimated)
Estimated number of installs on Google Play.
Estimated number of installs on Google Play.
Average rating
Average rating value on Google Play. Given by active users of the application.
Average rating value on Google Play. Given by active users of the application.
Market lead percentage
Ratings count comparing to the market leading app.
Ratings count comparing to the market leading app.
Rating distribution
Rating distribution given by active users.
Rating distribution given by active users.
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