egoist — CS2 Stats

76561198148901855[U:1:188636127]

1,024Tracked matches45%Win rate2021Tracked since
1,752Hours in CS7Hrs last 2 wks
CSDB Rating7.1 StrongAggressive Rifler
Premier CS Rating22,678Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#2004 of 6769 tracked
FaceitLevel 7 · 1,520 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

22,678Peak Premier on CSDB
1,520Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,520
  • Next: Level 8 at 1,531 11 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-28
  • Level 6 first seen 2026-08-28

Premier CS Rating

  • At peak — 22,678
  • Next: Red band at 25,000 2,322 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGegoistFACEITLevel 7 · 1,520 ELOSTANDINGTop 42.3% of rankedPREMIER22,678 · Pink bandPEAK ELO1,520csdb.gg/stats

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Performance scores

Aim87
Positioning63
Utility74

0–100 skill scores via Leetify.

Recent form

COLD444610Last 10044%Win rateLTLWLLWLWL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim8.7
Aggression9.2
Utility7.4
Positioning6.3
Opening Duels3.9
Clutch8.0

Sharp aimerStrong CT-side openerEffective flashesReliable in 1v1s

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

jL

Plays most like jL 96% playstyle similarity

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

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 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.7
Positioning6.3
Utility7.4
Mechanics8.2
Opening Duels3.9
Win Impact3.3

Composite 7.1/10 (Strong), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time553ms−64ms
first ⅓ avg 617ms → last ⅓ avg 553ms
Headshot accuracy20.8%−3.0%
first ⅓ avg 23.7% → last ⅓ avg 20.8%

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.

Highlights

0.15Best rating — nuke 13–8
131Biggest win — cache
4Longest win streak
610In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 52% over 23infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%0.00
cacheB23121152%0.01
mirageB21111052%0.01
infernoD1551033%-0.01
nukeC94544%0.05
overpass31233%-0.01
anubis2020%0.00
vertigo2020%-0.03
train1010%0.02
ancient1010%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

86,021Lifetime kills
1.60K/D · Top 10% of Pink band
1,745Matches
47.8%Match win rate · Top 50% of Pink band
72.5%Headshot % · Top 5% of Pink band
6.6%Shot accuracy
4,615MVPs
2,325Hours (in match)
2,114Bombs planted
537Bombs defused

Most-used weapons

Lifetime map wins

2,566dust2
2,482inferno
1,897nuke
1,241vertigo
707train
532cbble
48office
12italy

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

Faceit stats

Combat

61Matches
77%Win rate
1.49Avg K/D
99.8ADR
51%Headshot %

Clutches & streaks

60%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2186%1.5919.9
Dust21369%1.4520.1
Ancient6100%1.5418.0
Train3100%2.9023.7
Anubis333%1.2821.0
Nuke367%1.4815.0
Inferno250%1.7217.0
Overpass1100%1.1218.0

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.

21.3%Headshot accuracy
39.5%Accuracy (enemy spotted)
42.9%Spray accuracy
86.7%Counter-strafing
10.1°Preaim
562msReaction time
36.7%T opening success
54.9%CT opening success
0.72Enemies flashed / flash
8.9%Flash assists
12.25HE damage / grenade
15.35Flashes / 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 36.6749% — below the 40% mark we flag

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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0124%16 Aug
dust215–15-0.0228%16 Aug
inferno6–13-0.0215%15 Aug
inferno13–30.0121%15 Aug
cache11–130.0219%15 Aug
dust27–130.0423%14 Aug
dust213–90.0231%13 Aug
inferno8–130.0518%13 Aug
mirage13–70.0420%7 Aug
dust20–3-0.030%7 Aug
dust213–40.0513%5 Aug
inferno5–13-0.1018%5 Aug
mirage10–130.0016%2 Aug
inferno13–40.0120%2 Aug
mirage16–14-0.0023%1 Aug
cache13–60.0412%31 Jul
cache11–130.0322%31 Jul
nuke13–10-0.0129%31 Jul
mirage10–130.0526%30 Jul
cache7–13-0.069%30 Jul
inferno13–7-0.0016%25 Jul
cache13–9-0.0413%25 Jul
dust211–13-0.0526%24 Jul
dust26–00.1030%24 Jul
anubis9–130.0216%23 Jul
dust213–160.0019%22 Jul
cache11–13-0.0223%22 Jul
dust213–60.0421%22 Jul
dust210–130.0441%20 Jul
nuke13–80.1524%20 Jul
mirage16–14-0.0217%19 Jul
dust213–90.0227%19 Jul
mirage7–13-0.0224%19 Jul
mirage9–13-0.0415%19 Jul
inferno13–20.0415%19 Jul
mirage13–90.0014%18 Jul
mirage13–20.0824%18 Jul
cache13–90.0323%18 Jul
dust28–13-0.0614%18 Jul
dust210–13-0.0110%14 Jul
inferno7–13-0.0313%14 Jul
dust211–13-0.0033%10 Jul
cache11–130.0118%10 Jul
inferno13–30.0628%10 Jul
cache13–40.0528%10 Jul
train7–130.0224%8 Jul
cache7–13-0.0227%7 Jul
cache13–11-0.0314%7 Jul
cache4–130.0522%4 Jul
cache13–10.0524%4 Jul
dust216–120.0014%2 Jul
cache13–60.0129%22 Jun
cache12–120.0417%22 Jun
cache13–4-0.0215%22 Jun
mirage4–50.0329%24 May
cache12–120.0128%20 May
cache13–90.0619%20 May
cache12–120.0333%3 May
cache13–70.0329%3 May
cache13–50.0225%3 May
cache13–11-0.0325%2 May
dust213–9-0.0218%1 May
cache10–130.0322%1 May
inferno4–13-0.0938%25 Apr
mirage4–13-0.0514%25 Apr
mirage11–130.0726%25 Apr
inferno10–13-0.0112%23 Apr
nuke4–13-0.0518%22 Apr
mirage13–80.0213%22 Apr
dust213–80.0418%22 Apr
inferno7–13-0.0229%21 Apr
mirage16–130.0818%21 Apr
overpass10–13-0.0320%21 Apr
mirage2–13-0.0333%21 Apr
mirage13–3-0.0119%21 Apr
nuke10–130.1228%19 Apr
vertigo12–120.0728%19 Apr
dust213–60.0220%18 Apr
overpass11–130.0138%18 Apr
inferno3–9-0.0923%17 Apr
inferno5–90.0416%17 Apr
vertigo4–9-0.1238%17 Apr
nuke12–120.1011%14 Apr
nuke3–130.0631%13 Apr
nuke13–70.0343%8 Apr
dust23–13-0.0422%8 Apr
ancient4–13-0.0713%7 Apr
mirage15–15-0.0129%7 Apr
dust211–13-0.0420%6 Apr
overpass13–6-0.0130%6 Apr
dust213–110.0221%6 Apr
nuke12–12-0.0223%5 Apr
mirage16–14-0.028%5 Apr
dust216–13-0.0621%1 Apr
mirage13–100.0323%28 Mar
mirage13–80.0122%28 Mar
inferno10–130.0131%27 Mar
dust212–120.0328%27 Mar
nuke13–80.0427%27 Mar
mirage15–15-0.0320%27 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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