Open metrics

Community typing data

What people actually do on GuerillaType. Aggregate, anonymous, no PII. Counts are bucketed at session-finish and stored as Umami events — the full operator dashboard is public at /analytics/.

Window: trailing 365 days. Updated 2026-05-11. 28 visitors · 43 sessions · 861 pageviews.

Average WPM 31 mean WPM across finished sessions. Median 35 (bucket 30-40).
Average accuracy 90% mean accuracy across finished sessions. Median 93% (bucket 92-94).
Sessions captured 47 total finished practice sessions whose WPM was bucketed and recorded in the last 365 days.
60+ WPM rate 8.5% share of finished sessions that crossed 60 WPM. Loosely the "trained typist" threshold.

01 · WPM distribution

Count of finished sessions in each WPM bucket. X = WPM bucket, Y = session count. As more sessions accumulate, this settles into a log-normal curve — most typists land in the 40–60 WPM bracket, with a long tail above 80.

02 · Accuracy distribution

Count of finished sessions in each accuracy bucket. X = accuracy bucket (% characters correct), Y = session count. The vast majority cluster between 92–96% — people type fast enough to make some mistakes but not so carelessly the text breaks.

03 · How rare are fast typists?

% of finished sessions at or above each WPM threshold. Each step up cuts the population. 80 WPM puts you well above average; 100 WPM is exceptional. Bars are percentages, not raw counts.

04 · Mode popularity

Sessions finished per mode. Each completed session emits one mode_completed event. Tells you which practice surfaces actually retain typists.

05 · Speed milestones

Counts of sessions that crossed each milestone WPM threshold. The 50 / 75 / 100 / 125 / 150 tiers each fire once per qualifying session — so the bars are session-events, not unique typists.

06 · WPM events by mode

Total WPM-bucket events split by mode. A mode skewing higher means it attracts more practiced typists. Counts are totals, not per-typist averages.

07 · Accuracy events by mode

Total accuracy-bucket events split by mode. Modes biased toward typed-precision (lesson, drill, quote) usually surface higher accuracy than free-form modes.

08 · Top books typed

Public-domain titles people are actively practicing through. Counts are per-paragraph completion events — short works dominate because completion rate falls sharply with length.

09 · Book engagement

Two lifecycle events per book interaction: started (first paragraph typed) and finished (page completed at ≥80% accuracy). The ratio sketches a coarse drop-off rate.

10 · Practice volume bracket

Lifetime session count per typist (bucketed and emitted each time a session finishes). Casual visitors vs. habitual practice. Left buckets are inflated — everyone passes through them on the way up.

11 · Source word list

Which language / corpus people pull from. Defaults to en-1k unless picked otherwise from the toolbar.

12 · Most-missed characters

Top characters typists get wrong across the community. One worst_char event fires per finished session with the single most-missed character on that session's target text. The bar count is the sum of session-events, not raw keystroke errors.

13 · Most-missed words

Words typists trip on. Each finished session emits one worst_word event with the word that accumulated the most errors during that session. Short common words dominate because they appear in nearly every session.

14 · Worst finger (per session)

For each finished session, the engine emits one worst_finger event identifying which finger had the lowest accuracy that session. The cumulative count surfaces which fingers most commonly underperform.

15 · Per-finger accuracy

Each finished session emits one finger_acc event per finger that touched a key, bucketed by accuracy. Aggregated here as total events per finger — bigger bar = more session-events recorded for that finger.

Methodology + disclaimers