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The 2018 Inferno Collection + The Train 2025 Collection

Mil-Spec Grade → Restricted

Prices by float: ночной проверки нет, числа ниже — оценка с учётом float

Average profit at most · with float −4.63$

Invest at least 8.33$

Average return 3.70$

ROI −55.6%

Chance of profit 17%

With float: invest at least 8.33 $, profit at most −4.63 $

float premium: at least 5 $

To build: no data

Check:

To calculator I have items + a third collection

Buy on Sell on

How to build

Share of fitting lots unknown: the price is understated

×2

SSG 08 | Hand Brake

Well-Worn

buy 0.3800–0.3840

0.96 $

at 0.48

Steam

×3

SSG 08 | Hand Brake

Field-Tested

buy 0.1500–0.1633

1.65 $

at 0.55

Steam

×1

UMP-45 | Late Night Transit

Battle-Scarred

buy 0.4500–0.4819

0.14 $

at 0.14

Steam

×4

FAMAS | 2A2F

Field-Tested

buy 0.1500–0.1633

0.92 $

at 0.23

Steam

Set · 10 pcs 3.67 $ +0.03 (+0.8%)

Share of fitting lots unknown: the price is understated

×2

SSG 08 | Hand Brake

Well-Worn

buy 0.3800–0.3848

0.96 $

at 0.48

Steam

×4

SSG 08 | Hand Brake

Field-Tested

buy 0.1500–0.1658

2.20 $

at 0.55

Steam

×1

UMP-45 | Late Night Transit

Battle-Scarred

buy 0.4500–0.4880

0.14 $

at 0.14

Steam

×3

FAMAS | 2A2F

Field-Tested

buy 0.1500–0.1658

0.69 $

at 0.23

Steam

Set · 10 pcs 3.99 $ +0.06 (+1.5%)

Share of fitting lots unknown: the price is understated

×1

SSG 08 | Hand Brake

Well-Worn

buy 0.3800–0.3836

0.48 $

at 0.48

Steam

×6

SSG 08 | Hand Brake

Field-Tested

buy 0.1500–0.1618

3.29 $

at 0.55

Steam

×2

UMP-45 | Late Night Transit

Battle-Scarred

buy 0.4500–0.4784

0.29 $

at 0.14

Steam

×1

FAMAS | 2A2F

Field-Tested

buy 0.1500–0.1618

0.23 $

at 0.23

Steam

Set · 10 pcs 4.29 $ +0.11 (+2.5%)

What you get 6 outcomes

Profitable outcome 33%
Losing outcome 67%

in profit

AK-47 | Safety Net

Minimal Wear

float up to 0.149999

4.51 $ 16.67%

Steam

in profit

best

MP7 | Fade

Factory New

float up to 0.062499

12.82 $ 16.67%

pricier variants exist lots by number

Steam

at a loss

worst

P250 | Vino Primo

Field-Tested

float up to 0.249999

1.44 $ 16.67%

Steam

at a loss

MAC-10 | Derailment

Field-Tested

float up to 0.174999

1.95 $ 16.67%

Steam

at a loss

Zeus x27 | Charged Up

Field-Tested

float up to 0.249999

1.99 $ 16.67%

Steam

at a loss

Tec-9 | Whiteout

Field-Tested

float up to 0.294999

2.80 $ 16.67%

Steam

float markup by input how many times more the lots with the needed float cost

SSG 08 | Hand Brake (Well-Worn) × 2 6% of the wear range fits at least ×2.21 0.96 → 2.11 $

SSG 08 | Hand Brake (Field-Tested) × 3 6% of the wear range fits at least ×2.26 1.65 → 3.72 $

UMP-45 | Late Night Transit (Battle-Scarred) × 1 6% of the wear range fits at least ×2.16 0.14 → 0.31 $

FAMAS | 2A2F (Field-Tested) × 4 6% of the wear range fits at least ×2.37 0.92 → 2.18 $

The markup is taken from a check of Steam 25–26.09.2026 listings. It shows how many times the needed number of cheapest listings with a fitting float cost more than the cheapest listing of this wear. It depends on the width of the float window and on the number of items.

Average float of the set

average normalized 0.249999900

outcomes come out up to 0.149999, 0.062499, 0.249999, 0.174999, 0.249999, 0.294999

How to read float

«No higher than» — is a guarantee. The limits are calculated together: take all items with the float at the upper bound and you get exactly the result shown. With a lower float the result will be better.

f′ — the same float, brought to 0–1 by the skin's own range. CSFloat counts the same way.

I already have items

Craft variants

Variant 1 this one The 2018 Inferno Collection + The Train 2025 Collection

Variant 2 only The Train 2025 Collection Variant 3 The eSports 2013 Collection instead of The 2018 Inferno Collection Variant 4 The eSports 2014 Summer Collection instead of The 2018 Inferno Collection Variant 5 The Vanguard Collection instead of The 2018 Inferno Collection Variant 6 The Winter Offensive Collection instead of The 2018 Inferno Collection

In a week, when the outcome can be sold from outcome price history

In a bad week −0.47 $ a worse week happens one time in ten

In a typical week −0.23 $ historical median

If you repeat 10 000 simulations over the outcome odds

Attempts: 10

I already have items Enter their float and the site will pick what to buy

Mix in a collection

Items of this craft's collections of the right rarity fit: The 2018 Inferno Collection and The Train 2025 Collection — and of the mixed-in collection: enter its items with float, your own or ones you want to buy. Its share in the set equals its share in the chances. Your own items are counted in the profit at market price, because you could sell them. The money needed to buy the rest is shown separately.

Third collection Add a third collection to the craft's two and see whether it gets more profitable

All splits of inputs across three collections are tried (1/1/8, 5/3/2 and the rest) and all outcome wears. The best set is shown for each collection. “Find the best” first quickly scores all collections and then calculates exactly the five best by the quick score.

How to read these numbers

Fees. Steam adds 15% to the seller's price, so the seller gets the listing price divided by 1,15. Multiplying by 0,85 is wrong.

The outcome can only be sold after a week. Inputs bought on Steam go into the contract right away. The outcome can also be crafted further without waiting, but Sell it is possible only after seven days. Over a week the price may change, so the amount shown remains an estimate at calculation time.

Prices are conservative. Sales are counted at the lower of the listing price and the sale price. Purchases are counted at the cheapest listing, which is a lower bound. You cannot buy ten at that price: each next listing costs more. «Check floats on Steam» shows the real purchase price.

The 2018 Inferno Collection + The Train 2025 Collection

How to build i Ways to build 5 ways: the best first, then from the most accessible. Click a tab and the numbers below are recalculated for that way.

What you get 6 outcomes

More

How to build