StatTrak FAMAS | Neural Net (Field-Tested)

4.7 7015 reviews
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Latest price change
Last week
$ 0.14
+8.97%
Last month
$ 0.34
+25%
Price forecast
Check full price forecast
In a month
$ 1.85
+18.59%
In a quarter
$ 1.85
+18.59%
Action
Decision:
❌ Avoid
Confidence:
👎 Low
87% - Forecast accuracy
80% - Forecast trend accuracy
100% - Successes/failures
Check full forecast statistics
136 offers on 10 markets
Updated8 minutes ago
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Inspect skin
StatTrak FAMAS | Neural Net (Field-Tested)
Gallery
FAMAS | Neural Net inspecting FAMAS | Neural Net reloading FAMAS | Neural Net holding FAMAS | Neural Net pose-1 FAMAS | Neural Net pose-2 FAMAS | Neural Net pose-3
Price history
Price statistics
  • Today minimal price: $ 1.7
  • 24h price change: 8.97%
  • 7 days low: $ 1.56
  • 7 days high: $ 30
  • 7 days price change: 8.97%
  • 30 days low: $ 1.36
  • 30 days high: $ 30
  • 30 days price change: 25%
  • 90 days low: $ 1.36
  • 90 days high: $ 30
  • Year low: $ 1.23
  • Year high: $ 115
  • All time low: $ 1.23
  • All time high: $ 115
  • All time max offers: 409
  • Sales for last 24 hours: 25
  • Sales for last 7 days: 227
  • Sales for last 30 days: 728
  • Sales for last 90 days: 1753
  • All time sales: 4722
Price forecast
Price forecast full data
  • Forecast date: Nov. 7, 2025
  • Risk: 0.2274
  • Volatility: 15.11%
  • Liquidity: 27.11%
  • Decision: ❌ Avoid
  • Confidence: 👎 Low

The information on the site is not a financial recommendation. It is only an analytical tool.

  • Price forecast in a month: $ 1.85
  • Price forecast change in a month: 18.59%
  • Price forecast in a quarter: $ 1.85
  • Price forecast change in a quarter: 18.59%
How do we calculate the price forecast?

The price forecast of the StatTrak FAMAS | Neural Net (Field-Tested) are created by our ML engineers in collaboration with the Data Science and Business Analytics teams using machine learning models trained on historical price, sales, and market data for each skin. The models incorporate features such as rarity, popularity, category, skin type, weapon, exterior, price history and more. Multiple time horizons are forecasted using a combination of pretrained and custom models, with parameters including price volatility, liquidity, and recent transaction volumes. All projections are based on historical trends and statistical patterns, and actual results may differ due to market uncertainties and unforeseen events.

Price forecast timeline
Price
$ 1.56
Action
✋ Hold
July 3, 2025
Price
$ 1.32
Action
❌ Avoid
July 11, 2025
Price
$ 1.49
Action
🔥 Buy
Invested
$ 1.49
October 20, 2025
Price
$ 1.7
Action
📉 Sell
Earned
$ 0.21
14.09%
Result
👍 Success
November 7, 2025
Price
$ 1.56
Action
✋ Hold
July 3, 2025
Price
$ 1.32
Action
❌ Avoid
July 11, 2025
Price
$ 1.36
Action
❌ Avoid
July 19, 2025
Price
$ 1.27
Action
❌ Avoid
July 27, 2025
Price
$ 1.41
Action
❌ Avoid
August 4, 2025
Price
$ 1.42
Action
❌ Avoid
August 12, 2025
Price
$ 1.78
Action
❌ Avoid
August 20, 2025
Price
$ 1.9
Action
❌ Avoid
August 28, 2025
Price
$ 1.63
Action
❌ Avoid
September 5, 2025
Price
$ 1.67
Action
❌ Avoid
September 13, 2025
Price
$ 1.67
Action
❌ Avoid
September 21, 2025
Price
$ 1.57
Action
❌ Avoid
October 4, 2025
Price
$ 1.56
Action
❌ Avoid
October 12, 2025
Price
$ 1.49
Action
🔥 Buy
Invested
$ 1.49
October 20, 2025
Price
$ 1.47
Action
🔥 Buy
October 30, 2025
Price
$ 1.7
Action
📉 Sell
Earned
$ 0.21
14.09%
Result
👍 Success
November 7, 2025
Price forecasts statistics
Earned**
$ 0.21
$ 19.85 - avg*
Invested***
$ 1.49
$ 211 - avg*
Forecasts count
16
Buy count
1
Sell count
1
Success count
1
Fail count
0

*avg | Sitewide average across all skins

**Earned, ***Invested | Emulates buy and sell recommendations from addskins.gg

****Success/fail accuracy | Success — buy then sell at a profit, failure — buy then sell at a loss

How do we calculate forecast statistics?

Each skin’s forecast is updated approximately once a week and saved. For this skin, 16 forecasts have been generated in total. Each forecast stores key data such as predicted prices, probability of success, and recommended actions (buy, sell, or hold). Later, when real price data becomes available over time, the forecast is evaluated: the actual price movement is compared with the prediction, and the recommended actions are simulated using the real price. As a result, you can see how many buy and sell actions would have occurred, how many trades would have resulted in profit or loss, the total amount invested, and the final profit. Based on these results, the forecast accuracy for this specific skin is calculated and compared to the average accuracy of all forecasts across the site.

Price forecasts accuracy
Forecast accuracy
87%
60% - avg*
Forecast trend accuracy
80%
46% - avg*
Success/fail accuracy****
100%
79% - avg*
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Description

For players on a budget, the StatTrak FAMAS | Neural Net-Field-Tested will be the bridge that gapes between the rather expensive rifles and the lower-powered SMGs. Sleek and neat, a hydrographic pattern is applied with a translucent appearance over the metallic base coat, reflecting the choices that a player makes right even when situations get pretty tight.

History

History

The StatTrak FAMAS | Neural Net was added to CS2 on May 26th, 2015, when it was released as part of the Falchion Case. Designed by the incredibly talented community artist "SLIMEface," this field-tested beauty quickly became a sought-after item among players, boasting intricate neural network patterns that added a touch of futuristic flair to the battlefield.

Origin

Origin

The StatTrak FAMAS | Neural Net Field-Tested can be obtained by opening a container case named the Falchion Case for the various skins of the weapon. This skin comes under the Falchion Collection, which is rarely noticed in CS2.

Popularity

Popularity

Within CS2, StatTrak FAMAS | Neural Net (Field-Tested) is one of the sought-after items, given an astonishing popularity of 85%. This means it was included in the select Top 15% items as one of the hottest based on day volume of sales and market price.

Rarity

Rarity

The StatTrak FAMAS | Neural Net is a skin for the FAMAS in CS2, one of 255 total rifle skins. This skin has a Restricted rarity classification, meaning it's relatively rare, with an estimated drop chance of 15.98%.

Availability

Availability

The FAMAS | Neural Net Field-Tested skin in CS2 is within the budget; it ranges from $0.47-$4.68, and it can be purchased through various available markets as 434.2K units of this version are circulating through public inventories in CS2.

Versions

Versions

The float value of the StatTrak FAMAS | Neural Net Field-Tested from CS2 is from 0.00 to 0.60, which means it could be found in all exterior options. Moreover, there is a StatTrak available for each exterior so players would also have the option of tracking their kills with this skin.

Community sentiment

Community sentiment

The StatTrak FAMAS | Neural Net gained a lot of community love by having more than 6.9K votes on addskins.gg, with the average rating at 4.7 out of 5 stars. This skin is also well-represented among professional, well-known CS2 players like byali, adren, and mixwell.

Finish style

Finish style

The "Anodized Multicolored" style used for StatTrak FAMAS | Neural Net (Field-Tested) applies a vibrantly colored candy coat in a multicolored pattern. In reality, the look could be achieved through methods like silk-screening or the use of adherable stencils. The dominant color of this skin is pretty yellow tint; besides that, the pattern of Neural Net finish looks different with changing its pattern index, so this weapon skin really looks unique.

Price forecast

Price forecast

According to the forecast, the price of the StatTrak FAMAS | Neural Net (Field-Tested) is expected grow to $ 1.85 (18.59%) in a month. After that, in the next quarter it will rise to $ 1.85 (18.59%). Confidence is low — it is advised to avoid.

Characteristics

Summary

Color

Wear range

0.26
Max: 0.6
Factory new
Minimal wear
Field-tested
Well-worn
Battle-scared

Each skin has a minimum and maximum wear value, that's what we call a wear range. The line shows the available wear range for this skin.