Fake Perception

Fake Perception — CS2 Stats

US76561199018506009[U:1:1058240281]Steam profile ↗

1,330Tracked matches73%Win rate2025Tracked since
635Hours in CS
CSDB Rating6.6 SolidAggressive Rifler
FaceitLevel 5 · 740 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFake PerceptionFACEITLevel 5 · 740 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY51427Last 10051%Win rateWWWWWTLTTL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression8.8
Utility7.1
Positioning5.6
Opening Duels5.1
Clutch2.4

Excellent counter-strafingStrong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

device

Plays most like device 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.6
Positioning5.6
Utility7.1
Mechanics9.2
Opening Duels5.1
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time618ms+22ms
first ⅓ avg 597ms → last ⅓ avg 618ms
Headshot accuracy18.5%+2.5%
first ⅓ avg 16.1% → last ⅓ avg 18.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.11Best rating — cache 13–8
133Biggest win — dust2
9Longest win streak
W5Current streak
77In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS2315865%-0.01
dust2B2091145%0.01
infernoB1991047%-0.01
cacheB136746%0.01
ancientD93633%-0.00
nukeC83538%0.01
anubisS75271%0.00
overpass110100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,805Lifetime kills
1.03K/D
1,731Matches
48.9%Match win rate · Top 50% of tracked players
43.6%Headshot %
1.8%Shot accuracy
3,745MVPs
635Hours (in match)
1,292Bombs planted
401Bombs defused

Most-used weapons

Lifetime map wins

4,614inferno
3,125dust2
1,925nuke
394train
236vertigo
21office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

133Matches
52%Win rate
1.10Avg K/D
85.8ADR
45%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3956%1.0515.0
Inferno2544%1.0215.2
Dust22162%1.3316.8
Nuke1619%1.0417.1
Ancient1587%1.1916.5
Anubis1233%0.9515.0
Overpass560%1.1718.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
31.8%Spray accuracy
91.6%Counter-strafing
8.4°Preaim
610msReaction time
31.4%T opening success
69.4%CT opening success
0.71Enemies flashed / flash
12.0%Flash assists
13.51HE damage / grenade
9.87Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.4439% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0712%27 Aug
inferno13–70.0110%27 Aug
inferno13–8-0.0411%23 Aug
inferno13–50.0427%23 Aug
mirage13–11-0.0123%23 Aug
inferno12–12-0.0616%22 Aug
inferno10–13-0.0713%21 Aug
inferno12–120.0124%21 Aug
inferno12–12-0.0319%19 Aug
cache9–130.0125%19 Aug
dust211–13-0.0515%16 Aug
cache13–4-0.0056%26 Jul
mirage16–130.016%26 Jul
dust213–100.0119%26 Jul
dust213–70.0031%26 Jul
ancient13–100.0326%23 Jul
inferno1–13-0.0611%23 Jul
mirage8–13-0.0310%23 Jul
mirage10–13-0.0519%23 Jul
cache13–70.0223%23 Jul
inferno13–4-0.0414%23 Jul
dust215–150.0120%23 Jul
cache11–130.0024%22 Jul
cache13–10-0.0514%22 Jul
mirage13–9-0.0011%22 Jul
dust213–100.1018%21 Jul
anubis13–4-0.047%21 Jul
cache16–120.0222%21 Jul
anubis13–11-0.0223%20 Jul
mirage13–9-0.0310%20 Jul
mirage13–7-0.0019%20 Jul
mirage16–14-0.0119%20 Jul
inferno7–13-0.0216%20 Jul
nuke4–130.0329%20 Jul
ancient5–130.0515%20 Jul
mirage13–16-0.0125%19 Jul
nuke15–150.0128%19 Jul
dust213–110.0230%17 Jul
dust213–30.0811%17 Jul
inferno13–90.0311%15 Jul
ancient14–160.0116%15 Jul
mirage9–13-0.0412%15 Jul
mirage13–90.0514%14 Jul
cache10–13-0.0713%14 Jul
cache13–80.1124%14 Jul
mirage13–80.0431%14 Jul
cache10–130.0422%13 Jul
cache7–13-0.114%13 Jul
anubis13–110.0112%13 Jul
nuke10–13-0.0117%13 Jul
cache13–70.1026%12 Jul
mirage13–8-0.043%12 Jul
dust211–130.0234%12 Jul
dust29–130.0510%12 Jul
mirage10–13-0.0110%12 Jul
dust213–50.0723%12 Jul
nuke13–70.0632%12 Jul
dust23–130.0330%12 Jul
inferno11–13-0.0521%12 Jul
dust213–10-0.0019%12 Jul
ancient7–130.0324%11 Jul
inferno6–13-0.0015%11 Jul
cache6–130.0719%11 Jul
nuke11–13-0.0520%11 Jul
dust213–100.0318%11 Jul
mirage13–11-0.0120%11 Jul
ancient8–13-0.0514%11 Jul
mirage13–9-0.029%11 Jul
ancient3–130.0117%11 Jul
dust29–13-0.0320%10 Jul
mirage13–8-0.0212%10 Jul
ancient13–70.0014%9 Jul
mirage13–7-0.0217%8 Jul
dust212–12-0.0627%7 Jul
cache1–13-0.040%7 Jul
mirage7–100.0522%6 Jul
inferno13–70.0313%6 Jul
dust25–13-0.0422%6 Jul
dust213–100.0320%6 Jul
anubis13–100.0210%6 Jul
nuke13–10-0.0214%5 Jul
anubis7–13-0.0226%5 Jul
nuke13–90.0126%5 Jul
inferno13–90.0120%4 Jul
mirage13–70.0617%4 Jul
inferno13–80.0211%2 Jul
mirage1–13-0.0712%2 Jul
anubis10–130.0320%1 Jul
ancient13–30.0114%1 Jul
overpass13–10-0.0118%30 Jun
ancient9–13-0.0918%30 Jun
nuke8–130.0525%29 Jun
dust211–13-0.029%29 Jun
dust210–130.0313%28 Jun
anubis13–60.0312%28 Jun
dust29–13-0.0520%28 Jun
inferno13–110.0410%28 Jun
mirage3–13-0.0614%28 Jun
inferno12–12-0.0213%28 Jun
inferno7–13-0.0317%27 Jun

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →