What is the most common RNGdle number?
The official public material reviewed does not provide a per-number frequency table. A score-to-percentile lookup is present in the public frontend, but that is not an exact-number frequency dataset.
rngdle rarity
Understand RNGdle rarity from Trash to Mythic. Compare number tiers, badge probabilities, and EP percentiles, with links to badge values and the Trash numbers list.
QUICK ANSWER
RNGdle’s published tiers describe a roll’s overall EP percentile. Badge probability describes how often a badge is rolled; neither measure publishes the frequency of each exact number.
The official About page says RNGdle generates a number from 0 through 1,000,000 and describes overall rarity as a roll’s total EP compared with all possible rolls. The published tier labels therefore describe where a scored roll falls in that overall distribution.
A tier percentile is not the same as the raw frequency of one exact number. The official material reviewed for this page does not publish a complete per-number distribution or a table identifying the most common number.
The public frontend also contains a score-to-percentile lookup. That lookup supports the observed rarity labels, but it does not reveal an exact-number frequency table or the signed-in server’s implementation.
In the public guest-client rules checked September 24, 2026, matching badges contribute EP, but only the highest-value badge in each family counts. The total maps to a percentile and rarity tier. Signed-in server scoring has not been verified.
The guest path calls Math.floor(1000001 * Math.random()), which can return each integer from 0 through 1,000,000. That describes the observed guest-side fallback only. The signed-in flow calls a server action, whose RNG implementation is not visible in the public client code, so this observation does not establish server behavior or exact-number frequencies.
For badge conditions, EP values, and stated probabilities, use the separate RNGdle badge reference. A reliable “most common” answer would require a published distribution and a defined counting method; the current public material does not provide one.
The table below reproduces the labels and percentile wording on the official RNGdle About page, checked on September 24, 2026. These are percentile bands, not fixed EP ranges.
| Official label | Published percentile wording |
|---|---|
| Trash | Bottom 1% |
| Common | Bottom 50% |
| Uncommon | Top 50–25% |
| Rare | Top 25–10% |
| Epic | Top 10–5% |
| Anomaly | Top 5–1% |
| Mythic | Top 1% |
For example, a Mythic number ranks in the top 1% by total EP. That does not mean its exact digits are harder to roll than another particular number. For the lowest tier, browse the Trash list with EP values, recomputed from the dated guest-client rules.
| Badge rarity | Probability stated by RNGdle |
|---|---|
| Common | >10% of rolls |
| Uncommon | 1–10% |
| Rare | 0.1–1% |
| Epic | 0.01–0.1% |
| Anomaly | 0.001–0.01% |
| Mythic | <0.001% (1 in 100,000+) |
Badge rarity is the stated chance of rolling a badge. It is separate from the overall number tier, which is based on total EP.
If a badge value differs from your game result, open its linked official detail page for the latest value.
The official public material reviewed does not provide a per-number frequency table. A score-to-percentile lookup is present in the public frontend, but that is not an exact-number frequency dataset.
The public frontend observed on September 24, 2026 matches badges, scores the highest badge in each declared family, and adds those EP values. Signed-in server behavior is not exposed by that client code.
The guest frontend uses Math.floor(1000001 * Math.random()) for its local roll path. The signed-in path calls a server action, so this observation does not establish the server RNG or prove identical behavior for all users.
The official About page currently lists Trash, Common, Uncommon, Rare, Epic, Anomaly, and Mythic with percentile wording reproduced on this page.
No. It is an independent pattern index, not an official EP value, percentile, or calibrated frequency estimate.