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.338 Lapua Magnum AP @bandit's avatar

.338 Lapua Magnum AP @bandit

76561198295865554 Steam ID
0 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 08/19/2026 13:59
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 657 · Level 2
Player Analysis
Aim ScoreNORMAL
28/100
-38% avg 45/100 for this ELO range
Headshot %NORMAL
36.4%
-12% avg 41.2% for this ELO range
AccuracyNORMAL
11.8%
-1% avg 11.8% for this ELO range
FACEIT K/DELEVATED
1.01
+20% avg 0.84 for this ELO range
Reaction TimeNORMAL
0.671s
avg: 0.682s for this ELO range
KASTNORMAL
75.6%
avg: 66.9% for this ELO range
HLTV 2.0ELEVATED
1.26
avg: 1.01 for this ELO range
Pre-AimNORMAL
10.6
avg: 10.5 for this ELO range
Time to KillNORMAL
1.130s
avg: 0.813s for this ELO range
Opening DuelsNORMAL
36.5%
avg: 47.0% for this ELO range
ADRELEVATED
86.9
avg: 74.7 for this ELO range
Win RateNORMAL
49.6%
avg: 49.9% for this ELO range
AWP AccNORMAL
38.4%
avg: 36.4% for this ELO range
PerformanceSUSPICIOUS
77.5
avg: 44.3 for this ELO range
Account TrustSUSPICIOUS
14.4
avg: 38.5 for this ELO range
Social RiskSUSPICIOUS
55.0
avg: 30.7 for this ELO range
avg for this ELO range
Data sourcesSteam ProfileGames List hiddenStatsLeetifyFACEIT
(Probability: 0.03)

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?

.338 Lapua Magnum AP @bandit 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 0 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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