Lawrence™'s avatar

Lawrence™

76561198168672464 Steam ID
5616 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 07/09/2026 19:42
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

Player Analysis
Aim ScoreNORMAL
27.4
+5% avg 26.1 for this ELO range
Headshot %NORMAL
44.9%
+13% avg 39.6% for this ELO range
AccuracyELEVATED
18.6%
+33% avg 14.0% for this ELO range
K/D RatioNORMAL
1.11
+8% avg 1.03 for this ELO range
Reaction TimeNORMAL
0.666s
avg: 0.665s for this ELO range
KASTNORMAL
65.9%
avg: 65.8% for this ELO range
HLTV 2.0NORMAL
1.01
avg: 1.01 for this ELO range
Pre-AimNORMAL
10.0
avg: 10.4 for this ELO range
Time to KillNORMAL
1.060s
avg: 0.821s for this ELO range
Opening DuelsNORMAL
41.8%
avg: 48.7% for this ELO range
ADRNORMAL
74.2
avg: 75.2 for this ELO range
Win RateNORMAL
49.4%
avg: 50.7% for this ELO range
AWP AccNORMAL
30.0%
avg: 36.9% for this ELO range
PerformanceSUSPICIOUS
73.8
avg: 46.0 for this ELO range
Account TrustNORMAL
63.5
avg: 36.7 for this ELO range
Social RiskNORMAL
28.8
avg: 33.2 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT no account
(Probability: 0.13)

Supporting Evidence:

  • 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?

Lawrence™ 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 5616 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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