Android application WIN Betting Predictions developed by Micom Tech is listed under category Sports. According to Google Play WIN Betting Predictions achieved more than 500,000 installs. WIN Betting Predictions currently has 14,125 ratings with average rating value of 4.53. The current percentage of ratings achieved in last 30 days is 9.72%, percentage of ratings achieved in last 60 days is 19.22%. WIN Betting Predictions has the current market position #37434 by number of ratings. A sample of the market history data for WIN Betting Predictions can be found below. Last update on 2026-06-11.
| Title: | WIN Betting Predictions |
|---|---|
| Developer: | Micom Tech |
| Category: | Sports |
| Price: | Free |
| System: | Android |
| Total ratings: | 14125 |
|---|---|
| Growth (30 days): | 9.72% |
| Growth (60 days): | 19.22% |
| Average rating: | 4.53 |
| Installs (achieved): | 500,000+ |
|---|---|
| Installs (estimated): | 500,000 |
| 5 star ratings: | 11,158 |
|---|---|
| 4 star ratings: | 1,271 |
| 3 star ratings: | 565 |
| 2 star ratings: | 282 |
| 1 star ratings: | 847 |
Screenshots
Download level stats
| 2026-06-10: | Android application WIN Betting Predictions achieved 500,000 installs. |
|---|---|
| 2025-06-05: | Android application WIN Betting Predictions achieved 100,000 installs. |
| 2024-04-02: | Android application WIN Betting Predictions achieved 50,000 installs. |
| 2023-12-23: | Android application WIN Betting Predictions achieved 10,000 installs. |
Ratings
Number of ratings for WIN Betting Predictions.
Number of ratings for WIN Betting Predictions.
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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