Name the two plans
Use labels that explain the decision, such as Budget Katana and Premium Katana. Avoid vague labels like Test 1 because you will want to recognize the result later.
Run the same number of trials for two recipe plans, compare observed successes, and see which option gives a better cost trade-off. This is a transparent planning model for Roblox The Forge, so you can test a decision before spending rare ores.
Free side-by-side recipe testEnter the success chance and material cost you want to compare. The simulator repeats a simple probability trial in your browser, then reports the observed wins and estimated cost per success. It does not claim to replace the game's hidden formula or an in-game result.
Use percentages from the current calculator or your own test log. Keep both recipes tied to the same item goal and forge area so the comparison answers one clear question.
Add names, chances, and costs for both plans, then run the simulation. The result stays in this panel so you can adjust one assumption at a time.
Each trial treats the entered chance as a Bernoulli probability. Efficiency is cost per expected success (cost divided by chance as a decimal); it is a comparison aid, not a guarantee.
The Forge Recipe Simulator compares two recipe assumptions under the same sample size. You provide a success chance and an attempt cost for each plan, then the page runs a repeatable browser-side trial and shows observed successes, observed rates, and cost per expected success. That makes it useful when a rare ore mix looks stronger but costs much more, or when a budget recipe may be good enough for a progression step.
The tool is intentionally transparent. It does not read private Roblox data, upload your inventory, or pretend that a sample is an official drop table. Use current values from the main calculator, a dated community table, or your own tests. Hold the target item and forge area constant, compare one change at a time, and verify the winning plan in Roblox before committing irreplaceable materials.
A useful comparison has a fixed goal, a clear definition of success, and the same assumptions on both sides. Follow these steps before trusting a difference in the output.
Use labels that explain the decision, such as Budget Katana and Premium Katana. Avoid vague labels like Test 1 because you will want to recognize the result later.
Use the chance of the same outcome for both recipes. Do not compare a chance of any weapon with a chance of one named legendary weapon; the result would look precise while answering different questions.
If Recipe A uses an ore value of 35, express Recipe B in the same value system. The simulator divides cost by chance, so mixing coins, ore counts, and personal ratings would make the efficiency cards misleading.
Look at both observed successes and cost efficiency. Then repeat the comparison with a different sample size or a changed assumption. A plan that wins one sample but loses its budget test needs more checking, not an immediate craft.
These examples show how to frame a comparison. They are planning scenarios, not guaranteed The Forge recipes or official success rates.
| Goal | Example inputs | What to read | Decision signal |
|---|---|---|---|
| Budget weapon check | 40% at 35 value vs 18% at 120 value | Successes and cost per expected success | Keep the cheaper plan when the target is good enough. |
| Trait path | Two mixes with the same target and area | Whether the trait chance is worth the extra attempt cost | Retest only when the trait changes the build goal. |
| Armor fallback | Safe armor mix vs premium armor mix | Observed wins at 500 or 1,000 trials | Reserve premium ores when the gain is small. |
| Post-update check | Old estimate vs current estimate | Direction of change under identical trials | Refresh the recipe notes before spending rare materials. |
The output is most useful when it guides the next test. Treat the cards as a structured comparison, not a promise that your next forge will match the sample exactly.
A trial count turns a percentage assumption into an example sample. Small differences can disappear when you rerun the same plans, especially at 100 trials. Increase the sample only to inspect stability, not to manufacture certainty.
This value divides attempt cost by the chance as a decimal. A premium plan can have more wins but still be less efficient. Use the number to ask whether the extra material buys a meaningful item, trait, or progression benefit.
A weapon, armor, rare drop, and trait activation are different success definitions. Keep the target selector and the underlying chance definition aligned with the notes you used to enter the data.
The highlighted plan only wins for the current assumptions and sample. Change the area, item goal, ore price, or chance source and the recommendation may change. Save the inputs with the result when sharing a recipe decision.
This is a client-side comparison model, not an official Roblox or The Forge formula. It assumes independent trials and uses the chance you enter. It does not know hidden pity rules, inventory limits, animation timing, server changes, recipe substitutions, or whether a community percentage is still current.
The simulator also does not decide whether an item is good. A weapon with a lower chance may be worth the cost if it solves a boss, range, or speed problem. Pair the output with the Best Weapons, armor, ore, and trait pages, then check the exact recipe in the main calculator before forging.
No input is uploaded or saved by this page. Calculations run locally in your browser. Record the date, target, area, and source of each chance so you can retest after an update instead of treating an old sample as permanent data.
No. The main calculator focuses on a selected ore mix and its game-style outcome probabilities. This page compares two entered plans across repeated trials and adds a cost-efficiency view, so it is useful when choosing between a fallback and a premium recipe.
Enter the chance for one clearly defined target outcome, using a current source. For example, compare the chance of any heavy armor result on both sides, or compare the same named weapon on both sides. Do not mix broad and narrow outcomes.
Use 100 for a quick check, 500 for a readable comparison, and 1,000 or 5,000 when you want a smoother sample. More trials reduce random noise in the demonstration but cannot correct an inaccurate chance input.
The sample is random and finite. A higher chance should usually produce more successes, but a short run can vary. Run the same comparison again, inspect the observed rate, and compare cost efficiency before deciding.
Yes, as long as both recipes use the same unit and one attempt has a positive cost. A simple ore-count total is fine for a rough comparison; a mixed value score should be explained in your notes so the output is not mistaken for an in-game price.
No. It is a planning aid that repeats the probability you entered. The real game can use different hidden rules or updated data, so verify unusual results and keep a fallback recipe before spending rare ores.
Use the simulator for a side-by-side decision, then open the page that supplies the data or context for your next test.