SweatForMyMoney™'s avatar

SweatForMyMoney™

76561198279097064 Steam ID
3472 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 05/20/2026 00:39
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%
Model Confidence: --

AI Analysis Report

FACEIT ELO: 1000 · Level 4
CS2 Premier: 22,012
Player Analysis
Aim Score
41.7
+57% avg 26.5 for this ELO range
Headshot %
67.8%
+63% avg 41.6% for this ELO range
Accuracy
20.4%
+56% avg 13.1% for this ELO range
FACEIT K/D
0.84
-4% avg 0.87 for this ELO range
Reaction Time
0.545s
avg: 0.666s for this ELO range
KAST
74.9%
avg: 67.9% for this ELO range
HLTV 2.0
1.39
avg: 1.05 for this ELO range
Pre-Aim
7.8
avg: 10.2 for this ELO range
Time to Kill
0.580s
avg: 0.787s for this ELO range
Opening Duels
54.4%
avg: 48.9% for this ELO range
ADR
98.7
avg: 77.3 for this ELO range
Win Rate
52.1%
avg: 50.6% for this ELO range
AWP Acc
36.1%
avg: 37.0% for this ELO range
Performance
96.3
avg: 45.8 for this ELO range
Account Trust
83.5
avg: 38.6 for this ELO range
Social Risk
3.8
avg: 30.7 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.36)

Supporting Evidence:

  • Match History: Extensive history of 319 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges
  • Clean Network: Social connections show low ban rates typical of legitimate players

Take Action

Review the analysis and decide your next steps.

This is a statistical analysis based on public data. Confidence is not 100% accurate. Results should be considered alongside other factors when making decisions.

FAQ

Frequently Asked Questions

What does TrackBans say about this player?

SweatForMyMoney™ has been analyzed by our AI. The score is based on 180+ public stats, not gameplay demos.

How many CS2 hours does this profile have?

According to Steam, the account has logged 3472 hours in Counter-Strike 2.

What does the percentage actually mean?

It reflects how closely this account's patterns match those of already-banned users. 0-29% low risk, 30-49% caution, 50-79% suspicious, 80-100% high risk.

Can the AI make mistakes?

Yes — statistical models can yield false positives/negatives. If you believe the result is wrong, re-analyse after a few days; fresh data may change the outcome.

How reliable is TrackBans for CS2 cheat detection?

Our AI model achieves 86.29% F1-Score and 93.60% ROC-AUC, trained on 204,000+ profiles.

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