Enlightenment

Enlightenment — CS2 Stats

76561198321926021[U:1:361660293]Steam profile ↗✓ No bans

216Tracked matches52%Win rate2020Tracked since
203Hours in CS
CSDB Rating1.8 Learning
Ladder ranks via Leetify

Performance scores

Aim4
Positioning24
Utility10

0–100 skill scores via Leetify.

Recent form

COLD45469Last 10045%Win rateLLLWLLLWLL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

Aim0.4
Aggression0.0
Utility1.0
Positioning2.4
Opening Duels0.0

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

NiKo

Plays most like NiKo 51% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 867ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.4
Positioning2.4
Utility1.0
Mechanics3.4
Opening Duels0.0
Win Impact5.6

Composite 1.8/10 (Learning), 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-0.06+0.02
first ⅓ avg -0.09 → last ⅓ avg -0.06
Reaction time867ms+26ms
first ⅓ avg 840ms → last ⅓ avg 867ms
Headshot accuracy12.5%+4.7%
first ⅓ avg 7.7% → last ⅓ avg 12.5%

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

0.05Best rating — mirage 13–4
131Biggest win — nuke
6Longest win streak
L3Current streak
74In matches decided by ≤2 rounds

Map breakdown

grailBest map · 71% over 7dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB189950%-0.08
dust2D1551033%-0.04
nukeC135838%-0.05
ancientA106460%-0.06
mirageS107370%-0.05
grailS75271%-0.07
overpassC73443%-0.06
trainD62433%-0.09
office32167%-0.08
cache21150%-0.08
agency2020%-0.05
anubis2020%-0.08
warden1010%-0.07
golden1010%-0.06
vertigo1010%-0.05
dogtown1010%-0.05
whistle1010%-0.24

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,040Lifetime kills
0.60K/D
675Matches
36.7%Match win rate
38.0%Headshot %
16.6%Shot accuracy · Top 25% of tracked players
605MVPs
203Hours (in match)
511Bombs planted
84Bombs defused

Most-used weapons

Lifetime map wins

619dust2
599nuke
588inferno
198train
135vertigo
48office
48cbble
14lake

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

Skill profile

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

12.4%Headshot accuracy
23.6%Accuracy (enemy spotted)
26.6%Spray accuracy
65.5%Counter-strafing
15.4°Preaim
867msReaction time
15.0%T opening success
12.4%CT opening success
0.16Enemies flashed / flash
3.6%Flash assists
3.43HE damage / grenade
0.94Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.3553° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.3947% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 866.8993ms — above the 700ms mark we flag

    Aim Training
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 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0316%10 Jun
cache9–13-0.0819%19 May
warden0–9-0.0733%27 Jan
dust213–11-0.0817%27 Jan
ancient0–11-0.100%9 Nov
dust26–13-0.0419%9 Nov
mirage4–13-0.0726%1 Nov
office13–11-0.069%26 Oct
train9–13-0.170%25 Oct
dust27–13-0.0816%24 Oct
golden7–5-0.069%24 Oct
nuke13–5-0.050%14 Sept
train13–7-0.103%13 Sept
ancient13–8-0.0311%13 Sept
dust213–7-0.0717%7 Sept
inferno13–5-0.0325%7 Sept
ancient13–5-0.059%30 Aug
grail5–5-0.1017%18 Aug
mirage13–9-0.0416%18 Aug
train11–13-0.068%11 Aug
overpass13–7-0.066%11 Aug
nuke10–13-0.0430%9 Aug
mirage4–13-0.0914%8 Aug
inferno13–8-0.0617%8 Aug
ancient13–11-0.0721%7 Aug
overpass8–3-0.109%7 Aug
inferno13–8-0.057%5 Aug
train9–13-0.064%5 Aug
ancient12–12-0.110%2 Aug
inferno13–10-0.023%2 Aug
mirage13–40.0514%2 Aug
grail13–5-0.068%1 Aug
inferno12–12-0.069%31 Jul
agency4–130.0022%28 Jul
nuke6–13-0.048%28 Jul
inferno13–10-0.1021%28 Jul
grail13–9-0.0911%26 Jul
ancient13–5-0.0521%26 Jul
dust213–50.0412%22 Jul
overpass12–12-0.0215%21 Jul
nuke13–5-0.0114%21 Jul
overpass8–13-0.056%20 Jul
mirage13–8-0.0817%20 Jul
inferno1–13-0.100%20 Jul
mirage13–9-0.0611%19 Jul
overpass10–13-0.045%17 Jul
mirage13–10-0.0311%17 Jul
vertigo4–13-0.050%15 Jul
nuke6–13-0.049%15 Jul
ancient13–6-0.018%14 Jul
mirage8–4-0.049%14 Jul
dust210–13-0.0411%14 Jul
ancient9–13-0.0610%14 Jul
dust212–12-0.024%13 Jul
nuke13–110.006%13 Jul
anubis7–13-0.0212%12 Jul
dust21–130.037%12 Jul
office13–3-0.095%12 Jul
mirage13–11-0.0611%11 Jul
grail13–10-0.059%11 Jul
grail13–4-0.0611%7 Jul
office11–13-0.088%7 Jul
ancient13–10-0.059%7 Jul
overpass13–9-0.048%6 Jul
mirage12–12-0.0617%3 Jul
nuke6–13-0.0320%3 Jul
inferno12–12-0.0810%1 Jul
nuke13–80.0111%30 Jun
dust26–13-0.0713%30 Jun
agency4–13-0.114%26 Jun
nuke13–10.039%26 Jun
anubis2–13-0.1413%26 Jun
dust212–12-0.0711%25 Jun
inferno6–13-0.120%25 Jun
dust22–13-0.068%15 Jun
dust29–13-0.085%11 Jun
dust213–9-0.058%1 Jun
inferno5–13-0.070%30 May
train5–13-0.097%30 May
dogtown6–9-0.0514%30 May
dust29–4-0.0412%28 May
train13–11-0.076%11 May
grail5–13-0.076%11 May
grail13–7-0.0525%9 May
nuke6–9-0.170%25 Jan
whistle5–9-0.240%25 Jan
inferno1–9-0.280%25 Jan
nuke0–9-0.240%25 Jan
inferno3–13-0.125%23 Aug
inferno2–9-0.0914%17 Jun
inferno9–1-0.010%17 Jun
inferno9–7-0.069%17 Jun
inferno5–9-0.0813%16 Jun
nuke5–9-0.119%13 Jun
cache9–6-0.0916%13 Jun
inferno9–3-0.0310%13 Jun
nuke8–8-0.016%29 May
overpass8–8-0.118%24 May
inferno9–3-0.115%24 May
dust25–9-0.0410%21 May

Match data via Leetify.

Recent teammates

Milestones

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