Is Blox Fruits losing players? What weekly averages show
Blox Fruits recorded a lower weekly average in October 5–11 than in September 28–October 4. That answers a narrow question about these observations. It does not establish that the game is dying, identify why players changed their activity, or predict the next update’s audience.
The recorded comparison
| Metric | Earlier week | Later week | Change |
|---|---|---|---|
| Average concurrent players | 207,796 | 179,059 | -13.8% |
| Observed peak | 329,842 | 286,222 | -13.2% |
| Hours with samples | 168 / 168 | 168 / 168 | Complete both weeks |
| Recorded samples | 1,070 | 957 | Timing varies |
Weekly averages give each stored hourly mean equal weight. Counts above are rounded for display; percentage changes use the unrounded data.
Compare a whole week with a whole week
An afternoon live count can be lower than a weekend count even when a game’s underlying audience is stable. These windows include the same seven weekdays and give every UTC hour equal weight. This reduces the effect of choosing one favorable moment, although observations within each hour still have different sampling frequency.
The later mean was about 179,059 concurrent players, compared with 207,796 in the earlier week: a decline of 13.8%. This is a change in sampled concurrency, not a loss of 28,737 distinct people. The same person can play repeatedly, and a concurrent count cannot tell us how many different people visited during the week.
The observed peak is a different measure
The largest recorded sample also fell, from 329,842 to 286,222. A peak records the largest observation we captured during a window; it does not describe the number playing during most hours. Comparing a historical update spike with an ordinary live count would exaggerate a decline.
Here both the equal-hour average and the observed weekly peak moved down. That is stronger evidence of a quieter comparison week than a single low live sample, but it remains two adjacent weeks. The figures cannot establish a permanent trend or a complete lifetime record.
What would support a longer-term conclusion?
A sustained trend needs several complete weeks with equivalent coverage. It is useful to check whether ordinary weekday and weekend activity changes together, whether the result depends on one unusual event, and whether the observation schedule remained comparable. The live history page below provides the latest collected data; this article preserves the two windows used here.
Our dataset does not measure update quality, recommendations, advertising, school schedules or the number of automated accounts. Those are possible explanations to investigate separately. None should be asserted as the cause of this measured decline from the player-count series alone.
Check the data and follow the game
The figures come from the Oct 5–11, 2026 audience report, which documents the complete-hour cohort, selections and sampling limits. This article preserves those periods rather than updating them silently.
Open this game’s live player count and history or read the collection methodology. For a correction, contact RoVitals.