篮球梦's avatar

篮球梦

76561198255802286 Steam ID
1724 hrs CS2 Hours
No VAC Ban
Analyzed by TrackBans AI on 06/24/2026 03:39
AI Cheat Probability
--%
Calculating...
Legit 0% Suspicious 50% Cheating 100%

AI Analysis Report

FACEIT ELO: 1477 · Level 7
CS2 Premier: 2,632
Player Analysis
Aim Score
44/100
-34% avg 67/100 for this ELO range
Headshot %
34.3%
-24% avg 45.4% for this ELO range
Accuracy
14.4%
+9% avg 13.2% for this ELO range
FACEIT K/D
0.76
-35% avg 1.16 for this ELO range
Reaction Time
0.598s
avg: 0.628s for this ELO range
KAST
69.9%
avg: 70.7% for this ELO range
HLTV 2.0
1.09
avg: 1.16 for this ELO range
Pre-Aim
13.3
avg: 9.6 for this ELO range
Time to Kill
1.032s
avg: 0.702s for this ELO range
Opening Duels
41.0%
avg: 52.2% for this ELO range
ADR
83.6
avg: 84.0 for this ELO range
Win Rate
51.0%
avg: 51.3% for this ELO range
AWP Acc
31.4%
avg: 36.9% for this ELO range
Performance
67.7
avg: 47.3 for this ELO range
Account Trust
59.4
avg: 43.4 for this ELO range
Social Risk
30.5
avg: 27.5 for this ELO range
This profile has been analyzed 2 times
Data sourcesSteam ProfileGames ListStatsLeetifyFACEIT
(Probability: 0.06)

Concerning Indicators:

  • Social Network Risk: 10.9% of friends have VAC bans - significantly higher than typical players

Supporting Evidence:

  • Match History: Extensive history of 443 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?

篮球梦 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 1724 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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