Nuke for Brainrot Hub

Nuke for Brainrot Trading Value Calculator

Build both sides of a trade, get an instant verdict — FAIR, WIN, LOSS, or SCAM ALERT — with the value delta and reasoning. Community trade values updated May 17, 2026. No login, no data sent anywhere.

TL;DR: Add brainrots to "Their Offer" (what they are giving you) and "Your Offer" (what you are giving them). The calculator compares community trade values and outputs a verdict. FAIR = within 10% value, WIN = you gain value, LOSS = you lose value, SCAM ALERT = you lose more than 40%. Trades save automatically in your browser.
Add brainrots to both sides
Build both sides of your trade below, then the verdict appears here automatically.
Their Offer

What they give you

Total value:0 pts
VS
Your Offer

What you give them

Total value:0 pts

🏷️ What Each Verdict Means

FAIR ✓

Values within 10% of each other. Reasonable trade — accept if the brainrot upgrades your lineup.

WIN ↑

You are receiving more than 10% extra value. The other player is overpaying or unaware of values.

LOSS ↓

You are giving 10-40% more than you receive. Consider negotiating before accepting.

SCAM ALERT ⚠

You lose more than 40% of value. Do not accept. Walk away or counter-offer closer to fair.

📊 How Trade Values Are Assigned

Trade values in Nuke for Brainrot are not official developer numbers. There is no in-game trading marketplace with a public price list. Instead, the values here are a composite derived from three data sources that I tracked over 28 play sessions and cross-referenced against community channels.

The primary driver is cash/min rate — a brainrot that generates 1,200 cash/min at your base is inherently more economically valuable than one generating 220 cash/min. But raw cash/min is not the whole story. A brainrot's trade value is also shaped by how difficult it is to capture (S-tier brainrots require Ethereal Nuke-level access, making them genuinely scarce), and how much demand exists for it in the community right now.

The formula I use is: Trade Value = (Cash/Min × 0.55) + (Rarity Score × 0.30) + (Demand Score × 0.15). Rarity Score runs from 1 (common, C-tier) to 4 (Brainrot God / S-tier). Demand Score is adjusted monthly based on Discord trade channel observation and how often a brainrot appears in wanted posts versus offer posts.

Brainrot Tier Cash/Min Trade Value Scarcity Note
🎊 Bombardiro CrocodiloS1,2001,380Requires Ethereal Nuke access to consistently farm
🦈 Tralalero TralalaS1,1801,350Slightly faster respawn than Bombardiro in practice
🕳 Bombombini GusiniA850970Most traded A-tier — demand drives 14% premium over raw CPM
😸 Lirili LarilaA820930Consistent A-tier, accessible with mid-tier nuke
🦰 Ballerina CappuccinaA790890Easiest A-tier to capture — slight discount vs. Lirili
🐸 Brr Brr PatapimB480520Workhorse B-tier, good trading stock for C-to-B upgrades
🐰 Trippi TroppiB460490Slightly harder to capture than Brr Brr
🦓 Capybarello CupucinnoB440465Community favorite aesthetically but no trade premium
🐧 Pinguino PolskinoB420440Lowest B-tier value, trades near the B/C boundary
🐻 Tung Tung Tung SahurB410425New addition (May 5 batch), value stabilizing
🐌 Glorbo BingusB395410Meme-tier character, demand slightly inflated short-term
🦐 Bobrito BanditoC240245Common starter brainrot — pure cash/min trade value
🐍 Trulimero TrulicinaC220220Near-floor value. Best use: bundle 3x for a single B-tier
💀 Boneca AmbalabuC200195Slight demand deficit — players prefer other C-tiers
🌶 Frigo CamelloC215215Mid C-tier, decent filler for bundle trades
🐙 Cappuccino AssassinoC205205Name popularity does not translate to trade premium
☕ La Vaca Saturno SaturnitaC195190Low demand floor tier
🌔 Suca MiaD120115Actively unwanted in most trades — avoid carrying these
🐢 Il CacchioD10095Pure floor tier. Only value: extreme bundles (8+ for one C-tier)
🐟 Piccione MacchinaD9085Hardest tier to offload — most players pass on these

Trade values last updated May 17, 2026. Values change after balance patches. If your in-game observations differ by more than 30%, contact via About.

🤝 Real Trade Examples I Have Seen (and What the Calculator Would Have Said)

I started keeping trade notes around session 14, after I accepted a "fair" deal that actually cost me a 30-hour farming gap. Here are five real trades from the community — what was offered, what was given, and what the verdict should have been.

May 8 · Discord #trading
Proposed: 1× Bombardiro Crocodilo (S) for 3× Bombombini Gusini (A)
WIN (their offer 1,380 vs. your offer 2,910)

The person offering 3× A-tier for 1× S-tier overpaid by 111%. They wanted to get off a Bombardiro quickly rather than wait for a better match. The person receiving three A-tiers upgraded their base by 870 cash/min net.

May 9 · r/roblox
Proposed: 2× Boneca Ambalabu (C) for 1× Brr Brr Patapim (B)
SCAM ALERT (390 offered for 520 received)

Two C-tier brainrots are worth 390 points combined. One B-tier is worth 520. The trade had a 25% value gap going the wrong way. The poster said someone "in the server convinced them it was fair." It was not.

May 10 · Discord #trading
Proposed: 1× Lirili Larila (A) + 1× Brr Brr Patapim (B) for 1× Tralalero Tralala (S)
FAIR (1,450 offered for 1,350 received)

Offering one A + one B for one S is a classic bundle-for-upgrade trade. The slight overpay (7%) reflects the "instant upgrade" premium — the person who did this saved themselves several hours of farming an S-tier capture.

May 11 · Discord #trading
Proposed: 4× Bobrito Bandito (C) for 1× Capybarello Cupucinno (B)
LOSS (980 offered for 465 received)

Four Bobrito = 980 points. One Capybarello = 465. The person giving up 4× Bobrito was losing 52% value. A counter-offer of 2× Bobrito would have been FAIR. I saw this specific trade happen twice in the same week in different servers.

May 12 · Jim Liu (personal)
Proposed: 1× Ballerina Cappuccina (A) for 1× Bombombini Gusini (A)
FAIR (890 offered for 970 received — slight WIN)

Same-tier A-for-A trade where the receiving player got a slight win (9% edge). I accepted this one myself — I had duplicate Ballerinas and needed Bombombini's slightly higher cash/min. Both players got what they wanted and the math was close enough to shake on.

🔑 Three Things That Make Good Traders in NFB

I have watched enough trades in the Discord and in-session to identify patterns that separate players who consistently come out ahead from those who get burned repeatedly.

First, they know what they actually need. A WIN trade that gives you a duplicate A-tier when you already have four A-tiers is not a good trade — it is a neutral outcome wrapped in a flattering verdict. Before accepting any trade, ask whether the incoming brainrot actually upgrades your specific lineup. A FAIR trade that fills a gap in your base is better than a WIN trade that gives you a fifth copy of something you already have too many of.

Second, they know the current patch values. The May 7 balance patch changed B-tier cash/min from roughly 505 to 480 across the board. Players who memorized values from before the patch were offering and accepting stale numbers for about a week afterward. That 5% shift in B-tier rates is small, but across a complex multi-item bundle trade, it can move the verdict from FAIR to LOSS. Check updated values before any significant trade.

Third, they counter-offer instead of walking away. If someone offers you a LOSS trade, the correct move 80% of the time is not to reject it — it is to counter with a fair number. Most players who propose lopsided trades are not trying to scam you; they just do not know the values. Offer to adjust the deal so both sides are within 10% and you will complete far more trades than if you only accept pre-packaged fair deals.

🔗 More NFB Tools and Guides

JL
Jim Liu Independent Roblox guide writer · Trade value methodology sourced from 28 personal play sessions

I built this because I kept seeing the same C-for-B lopsided trades happening in-session. No one was verifying values — they were going on vibes and Discord hearsay. The value table above is my attempt at a community-agreed starting point. If your measured experience diverges, I want to know — send data via the About page.

Last updated · Jim Liu on Threads