BMW_Lawnmower's avatar

BMW_Lawnmower

76561198310861699 Steam ID
1379 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/06/2026 05:23
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

CS2 Premier: 9,090
Player Analysis
Aim Score
24/100
-55% avg 53/100 for this ELO range
Headshot %
26.3%
-34% avg 39.6% for this ELO range
Accuracy
17.4%
+24% avg 14.0% for this ELO range
K/D Ratio
1.00
-3% avg 1.03 for this ELO range
Reaction Time
0.696s
avg: 0.665s for this ELO range
KAST
67.2%
avg: 65.8% for this ELO range
HLTV 2.0
1.15
avg: 1.01 for this ELO range
Pre-Aim
11.4
avg: 10.4 for this ELO range
Time to Kill
1.100s
avg: 0.821s for this ELO range
Opening Duels
36.3%
avg: 48.7% for this ELO range
ADR
85.0
avg: 75.2 for this ELO range
Win Rate
50.2%
avg: 50.7% for this ELO range
AWP Acc
51.7%
avg: 36.9% for this ELO range
Performance
71.7
avg: 46.0 for this ELO range
Account Trust
49.4
avg: 36.7 for this ELO range
Social Risk
24.7
avg: 33.2 for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT no account
(Probability: 0.21)

Concerning Indicators:

  • Social Network Risk: 19.4% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 574 matches suggests established legitimate play
  • Natural Variance: Performance fluctuations are within normal human ranges

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?

BMW_Lawnmower 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 1379 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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