Ordinary Recruit
Just one more pull! You'll get her! Come on!
Test your luck with this pull simulator! Barely Accurate, of course!
Caveats
This should work similarly to the one in the game, BUT:
- This assumes that Pilgrims have a cumulative chance of 0.5%.
- The pool excludes Rehabilitation and Limited Nikkes.
- The pool excludes Nikkes deemed by Prydwen as new. (some units may be included in the pool while not even being in the pool ingame)
You can exclude a Nikke from the pool by clicking the trash bin button next to the Nikke, this will also refresh the page to make the changes.
A new link will be generated, so if you'd like to share your simulated pool, you can do so by just sharing the link to others (however I recommend you shorten the link...)!
Pull
Pull once
Pull x10
History
There's nothing yet. You should pull!
Inventory
Pool
Analysis
In SSR %, Pilgrims are not excluded in the calculation.
If you'd like to see something like how the actual chances are, simulate a high number of pulls!
Cumulative (10 pulls and single pulls combined)
| Total Pulls | |
|---|---|
| Total SSRs | |
| Total SRs | |
| Total Rs |
| Pilgrim % | |
|---|---|
| SSR % | |
| SR % | |
| R % |
10 Pulls only
|
Multi pulls
ⁱ Should be multiplied by 10 in calculations. | |
|---|---|
| Total SSRs | |
| Total SRs | |
| Total Rs |
| Pilgrim % | |
|---|---|
| SSR % | |
| SR % | |
| R % |
Single Pulls only
| Single Pulls | |
|---|---|
| Total SSRs | |
| Total SRs | |
| Total Rs |
| Pilgrim % | |
|---|---|
| SSR % | |
| SR % | |
| R % |
Calculations
Since the addition of Nikke exclusion, I thought it'd be proper to add this.Rates for each tier have a constant value.
- For SSRs: 4%
- For SRs: 43%
- For Rs: 53%
- For Pilgrims: 0.5%
This number was achieved from:
0.05% * 10 (currently available as of 2/10/24) = 0.5% An SSR unit's rate is calculated as follows:
Unit Rate = (SSR Rate - Pilgrim Rate) / (Amount of SSRs - Amount of Pilgrims) Other tiers (SR, R, Pilgrim) are just calculated simple:
Unit Rate = Tier Rate / Amount of units in Tier All of these are put into each individual units and is put to a weighted randomizer.
The weighted randomizer has no bias -- why the hell would I do that?