锜兴成

76561198356317995 Steam ID

2344 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 07/03/2026 03:12

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

⚠️1 VAC ban on record — likely from another game (active CS2 player)

This account carries a VAC ban, but TrackBans analyses CS2 gameplay specifically and does not find clear cheating patterns here. The ban may originate from another game.

FACEIT ELO: 964 · Level 4

Player Analysis

Aim Score

41/100

-22% avg 52/100 for this ELO range

Headshot %

39.7%

-6% avg 42.0% for this ELO range

Accuracy

9.0%

-25% avg 11.9% for this ELO range

FACEIT K/D

0.81

-7% avg 0.87 for this ELO range

Reaction Time

0.682s

avg: 0.665s for this ELO range

KAST

73.3%

avg: 67.9% for this ELO range

HLTV 2.0

1.06

avg: 1.05 for this ELO range

Pre-Aim

10.3

avg: 10.2 for this ELO range

Time to Kill

1.177s

avg: 0.790s for this ELO range

Opening Duels

31.9%

avg: 48.8% for this ELO range

ADR

80.7

avg: 77.4 for this ELO range

Win Rate

50.1%

avg: 50.7% for this ELO range

AWP Acc

23.3%

avg: 37.3% for this ELO range

Performance

66.2

avg: 45.8 for this ELO range

Account Trust

49.2

avg: 38.3 for this ELO range

Social Risk

23.1

avg: 31.1 for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT

(Probability: 0.02)

Concerning Indicators:

Social Network Risk: 16.1% of friends have VAC bans - significantly higher than typical players

Take Action

Review the analysis and decide your next steps.

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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?

锜兴成 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 2344 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.