lucid ツ

lucid ツ — CS2 Stats

NO76561198039339587[U:1:79073859]Steam profile ↗✓ No bans

875Tracked matches47%Win rate2021Tracked since
CSDB Rating5.9 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim78
Positioning59
Utility31

0–100 skill scores via Leetify.

Recent form

COLD47494Last 10047%Win rateLLLLLLLLWL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8
Aggression9.9
Utility3.1
Positioning5.9
Opening Duels4.2

Limited 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.

Your pro match

device

Plays most like device 88% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Areas to improve

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

Reaction time. 657ms 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

Aim7.8
Positioning5.9
Utility3.1
Mechanics7.4
Opening Duels4.2
Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time652ms−7ms
first ⅓ avg 659ms → last ⅓ avg 652ms
Headshot accuracy22.1%−0.9%
first ⅓ avg 23.0% → last ⅓ avg 22.1%

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

0.18Best rating — mirage 13–1
131Biggest win — mirage
7Longest win streak
L8Current streak
911In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
mirageA30171357%0.01
nukeC2281436%0.00
infernoD1961332%0.01
ancientS139469%0.01
dust2C73443%-0.00
overpass43175%0.02
vertigo2020%-0.07
anubis21150%0.06
cache1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno 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.

23.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.5%Spray accuracy
83.1%Counter-strafing
7.0°Preaim
657msReaction time
41.1%T opening success
52.5%CT opening success
0.44Enemies flashed / flash
1.2%Flash assists
10.55HE damage / grenade
2.15Flashes / 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 0.4371 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–130.0721%20 Aug
nuke11–13-0.0022%4 Aug
inferno5–130.0119%2 Aug
inferno5–130.0115%30 Jul
vertigo0–9-0.1714%30 Jul
inferno5–9-0.0917%30 Jul
cache4–13-0.0310%30 Jul
inferno5–9-0.1115%30 Jul
ancient13–8-0.0423%28 Jul
mirage7–130.0212%26 Jul
mirage9–13-0.0230%26 Jul
ancient13–110.0014%26 Jul
nuke10–13-0.0534%19 Jul
mirage13–60.0524%13 Jul
mirage14–160.0719%11 Jul
mirage13–40.0313%11 Jul
inferno10–13-0.0216%2 May
mirage13–8-0.0225%5 Apr
nuke13–7-0.0538%5 Apr
nuke10–13-0.0321%5 Apr
overpass6–13-0.0122%2 Apr
mirage11–13-0.0119%2 Apr
ancient13–70.0113%1 Apr
nuke8–130.0237%29 Mar
mirage0–12-0.0012%29 Mar
overpass13–80.0230%27 Mar
inferno13–110.0218%27 Mar
nuke13–100.0547%26 Mar
ancient13–40.0224%26 Mar
inferno13–50.0616%26 Mar
mirage13–90.1133%26 Mar
dust213–90.0517%24 Mar
dust27–13-0.0036%24 Mar
nuke13–30.0324%23 Mar
inferno9–13-0.0225%23 Mar
dust28–130.0724%22 Mar
inferno10–130.0830%22 Mar
inferno9–30.0932%22 Mar
ancient8–130.013%21 Mar
ancient15–150.0521%21 Mar
mirage13–11-0.0122%19 Mar
nuke13–5-0.0913%19 Mar
dust24–13-0.0826%19 Mar
dust215–15-0.0325%18 Mar
anubis13–20.1018%15 Mar
ancient13–4-0.038%10 Mar
overpass16–130.0223%10 Mar
vertigo11–130.0416%6 Mar
nuke7–130.0524%6 Mar
mirage11–13-0.008%6 Mar
nuke9–60.1412%6 Mar
inferno4–130.0324%6 Mar
mirage16–12-0.0032%5 Mar
mirage9–13-0.0410%2 Mar
mirage7–130.0722%1 Mar
inferno13–60.1121%1 Mar
anubis9–130.0317%1 Mar
nuke8–13-0.0118%27 Feb
nuke11–13-0.0117%26 Feb
mirage13–100.0229%26 Feb
mirage7–13-0.1028%22 Feb
mirage13–11-0.0317%21 Feb
ancient13–60.0417%21 Feb
nuke5–13-0.0037%18 Feb
ancient13–30.0824%16 Feb
inferno15–15-0.0422%16 Feb
inferno3–13-0.0133%13 Feb
mirage13–100.0445%13 Feb
mirage13–70.0722%13 Feb
inferno6–130.0130%25 Jan
mirage2–13-0.0226%23 Jan
ancient13–6-0.0215%23 Jan
mirage13–70.0421%23 Jan
overpass13–110.039%23 Jan
mirage12–120.0120%21 Jan
nuke11–13-0.0423%21 Dec
ancient9–13-0.0029%19 Dec
inferno13–100.0315%18 Dec
nuke11–130.0319%14 Dec
nuke16–130.0114%14 Dec
mirage13–90.0222%14 Dec
ancient6–130.0516%13 Dec
nuke13–80.0327%13 Dec
mirage13–110.0123%11 Dec
ancient16–13-0.0015%11 Dec
mirage13–110.0123%5 Dec
nuke13–100.0628%5 Dec
mirage13–10.1838%5 Dec
mirage3–13-0.0826%4 Dec
nuke3–13-0.0535%4 Dec
inferno2–13-0.0029%4 Dec
nuke9–13-0.0124%3 Dec
mirage13–110.0635%2 Dec
dust213–8-0.0110%2 Dec
nuke11–13-0.0521%29 Oct
inferno13–80.0218%29 Oct
mirage11–13-0.0515%28 Oct
mirage13–80.0120%28 Oct
nuke11–13-0.0031%28 Oct
dust213–11-0.0115%28 Oct

Match data via Leetify.

Recent teammates

Milestones

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