[SSJ] >>> SAJANIN

76561198260622984 Steam ID

2183 hrs CS2 Hours

No VAC Ban

Analyzed by TrackBans AI on 04/30/2026 22:10

AI Cheat Probability

--%

Calculating...

Legit 0% Suspicious 50% Cheating 100%

Evidence & Analysis

AI Analysis Report

FACEIT ELO: 998 · Level 4

Player Analysis

Aim Score

23.7

-11% avg 26.5 for this ELO range

Headshot %

41.3%

-1% avg 41.6% for this ELO range

Accuracy

9.8%

-25% avg 13.1% for this ELO range

FACEIT K/D

0.83

-5% avg 0.87 for this ELO range

Reaction Time

0.753s

avg: 0.666s for this ELO range

KAST

62.7%

avg: 67.9% for this ELO range

HLTV 2.0

0.80

avg: 1.05 for this ELO range

Pre-Aim

9.9

avg: 10.2 for this ELO range

Time to Kill

0.860s

avg: 0.787s for this ELO range

Opening Duels

32.1%

avg: 48.9% for this ELO range

ADR

61.6

avg: 77.3 for this ELO range

Win Rate

48.4%

avg: 50.6% for this ELO range

AWP Acc

34.9%

avg: 37.0% for this ELO range

Performance

54.0

avg: 45.8 for this ELO range

Account Trust

67.6

avg: 38.6 for this ELO range

Social Risk

15.0

avg: 30.7 for this ELO range

Data sourcesSteam ProfileGames ListStatsLeetify not registeredFACEIT

(Probability: 0.16)

Supporting Evidence:

Clean Network: Social connections show low ban rates typical of legitimate 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?

[SSJ] >>> SAJANIN 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 2183 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.