too big's avatar

too big

76561199772172045 Steam ID
879 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 06/12/2026 20:31
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1074 · Level 5
Player Analysis
Aim Score
87/100
+45% avg 60/100 for this ELO range
Headshot %
41.0%
-6% avg 43.6% for this ELO range
FACEIT K/D
1.55
+43% avg 1.09 for this ELO range
Reaction Time
0.51
-21% avg 0.64 for this ELO range
KAST
75.1%
avg: 69.5% for this ELO range
HLTV 2.0
1.37
avg: 1.11 for this ELO range
Pre-Aim
7.0
avg: 9.9 for this ELO range
Time to Kill
1.056s
avg: 0.739s for this ELO range
Opening Duels
52.5%
avg: 50.5% for this ELO range
ADR
97.6
avg: 81.0 for this ELO range
Win Rate
55.8%
avg: 51.0% for this ELO range
AWP Acc
52.3%
avg: 36.8% for this ELO range
Performance
88.1
avg: 46.7 for this ELO range
Account Trust
43.8
avg: 41.7 for this ELO range
Social Risk
10.0
avg: 28.5 for this ELO range
FACEIT WR%
66.7%
avg: 54.4% for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.19)

Concerning Indicators:

  • Performance Spike: Recent K/D improvement of +0.63 represents a dramatic and sudden change

Supporting Evidence:

  • Match History: Extensive history of 657 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?

too big 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 879 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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