Fake

Fake — CS2 Stats

76561199101072179[U:1:1140806451]Steam profile ↗✓ No bans

536Tracked matches53%Win rate2023Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating23,373Top 25% of 201,122 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#37420 of 247963 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,373 → 23,373
+1Tracked matches · now 536
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 23,373 +3,191 26 Aug – 19 Sept · 18 days played
19,99923,373peak 23,37326 Aug19 Sept
23,373Peak Premier in tracked matches
44Days played since 2025-08-26

Premier CS Rating

  • At peak — 23,373
  • +1,719 over 30 days · improving
  • Next: Red band at 25,000 — 1,627 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGFakePREMIER23,373 · Pink bandcsdb.gg/stats

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Performance scores

Aim90
Positioning61
Utility33

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateLWWWWWLWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · −62ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 489ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 462ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 493ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim9.0
Utility3.3
Positioning6.1
Opening Duels3.6

Sharp aimerLimited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning6.1
Utility3.3
Mechanics6.8
Opening Duels2.7
Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.06
first ⅓ avg 0.07 → last ⅓ avg 0.00
Reaction time487ms−175ms
first ⅓ avg 662ms → last ⅓ avg 487ms
Headshot accuracy23.8%−6.9%
first ⅓ avg 30.7% → last ⅓ avg 23.8%

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.

Personal bests

0.25Best match rating · 13–2 · nuke, 4 Nov →
83%Best headshot accuracy · 6–13 · overpass, 11 Mar →
391msFastest reaction time · 13–4 · inferno, 22 Aug →
13–0Biggest win · vertigo, 8 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
9–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 73% over 11dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB2010–1050%0.01
anubisA1710–759%0.05
nukeA138–562%0.05
vertigoS118–373%0.11
infernoA106–460%0.01
dust2D93–633%-0.03
overpassC73–443%0.02
trainS64–267%0.08
mirage—32–167%-0.03
cache—22–0100%-0.01
office—10–10%-0.08
alpine—10–10%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

23.9%Headshot accuracy
39.3%Accuracy (enemy spotted)
40.7%Spray accuracy
80.6%Counter-strafing
8.5°Preaim
512msReaction time
29.7%T opening success
51.3%CT opening success
0.28Enemies flashed / flash
3.1%Flash assists
8.67HE damage / grenade
3.67Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2793 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 29.7017% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0830%21 Sept →
ancient13–6-0.097%11 Sept →
anubis13–40.0512%11 Sept →
dust213–100.0921%7 Sept →
nuke13–110.0019%7 Sept →
ancient13–100.1133%6 Sept →
inferno9–13-0.0231%6 Sept →
inferno2–00.000%6 Sept →
mirage13–2-0.0631%6 Sept →
anubis13–40.0535%6 Sept →
dust213–110.0122%5 Sept →
ancient2–100.0238%5 Sept →
anubis9–13-0.0038%5 Sept →
ancient7–13-0.026%4 Sept →
nuke4–9-0.0420%4 Sept →
nuke13–11-0.0115%4 Sept →
nuke10–130.0413%4 Sept →
anubis13–20.098%4 Sept →
mirage13–40.0423%2 Sept →
inferno10–13-0.0132%2 Sept →
ancient13–5-0.0028%30 Aug →
ancient5–130.0230%30 Aug →
inferno5–00.1356%30 Aug →
ancient13–80.0129%29 Aug →
ancient6–13-0.0333%29 Aug →
dust28–13-0.0016%29 Aug →
cache13–30.0235%27 Aug →
dust23–13-0.250%27 Aug →
dust20–2-0.010%27 Aug →
inferno6–13-0.0824%27 Aug →
dust22–130.0144%27 Aug →
anubis13–90.0223%26 Aug →
inferno11–13-0.0735%26 Aug →
ancient13–70.0533%26 Aug →
anubis13–60.0729%25 Aug →
dust21–13-0.0750%25 Aug →
inferno13–10.0117%25 Aug →
nuke13–70.0717%25 Aug →
inferno13–7-0.0121%25 Aug →
nuke12–160.0723%25 Aug →
ancient11–130.0728%25 Aug →
anubis16–14-0.0915%24 Aug →
dust213–40.0230%22 Aug →
ancient13–10-0.0319%22 Aug →
cache13–8-0.0429%22 Aug →
nuke2–80.0323%22 Aug →
inferno13–40.0429%22 Aug →
ancient13–60.0418%22 Aug →
anubis10–13-0.0323%22 Aug →
dust20–4-0.080%21 Aug →
train12–120.1030%16 Aug →
train13–2-0.0817%16 Aug →
nuke13–90.0331%3 Aug →
vertigo12–120.1241%3 Aug →
vertigo12–120.0832%31 Jul →
vertigo12–120.0938%19 Jul →
vertigo8–00.1444%19 Jul →
ancient9–130.0127%4 Jun →
anubis6–80.0642%1 Jun →
anubis13–60.2334%1 Jun →
office1–13-0.0821%17 May →
nuke13–5-0.0115%4 May →
mirage4–13-0.0741%4 May →
ancient8–130.1036%21 Apr →
anubis13–110.0832%11 Apr →
nuke3–13-0.0320%11 Apr →
vertigo13–90.0933%11 Apr →
vertigo13–80.1041%11 Apr →
anubis13–30.1834%7 Apr →
anubis2–130.0228%6 Apr →
anubis2–120.0520%6 Apr →
anubis1–7-0.0750%5 Apr →
overpass3–130.0733%15 Mar →
overpass11–9-0.0331%15 Mar →
overpass2–11-0.017%14 Mar →
overpass6–130.0983%11 Mar →
vertigo13–40.1220%15 Feb →
vertigo13–50.1632%31 Jan →
vertigo13–40.0724%31 Jan →
alpine11–130.1024%26 Jan →
anubis13–80.0323%26 Jan →
ancient13–110.0929%26 Jan →
ancient3–130.0222%10 Jan →
train13–70.1735%31 Dec →
nuke13–10.1336%31 Dec →
inferno16–120.1148%31 Dec →
nuke13–20.2526%4 Nov →
overpass13–60.0435%26 Sept →
overpass13–10.0122%26 Sept →
ancient13–50.0137%26 Sept →
nuke13–110.0922%19 Sept →
vertigo13–40.1223%19 Sept →
train13–80.0838%16 Sept →
train13–40.1261%16 Sept →
train11–130.0724%15 Sept →
vertigo13–00.1027%8 Sept →
ancient15–150.0424%8 Sept →
ancient13–9-0.1013%27 Aug →
ancient10–13-0.0222%26 Aug →
overpass13–16-0.0216%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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