Cel0st

Cel0st — CS2 Stats

US76561198398439964[U:1:438174236]Steam profile ↗✓ No bans

4,219Tracked matches81%Win rate2020Tracked since
CSDB Rating8.5 ElitePositional Player
Premier CS Rating24,213Top 25% of 201,122 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#28915 of 247965 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+271Premier CS Rating · 23,942 → 24,213

Rating over time

Premier CS Rating: 24,213 +1,121 1 Sept – 2 Oct · 9 days played
23,09224,213peak 24,2131 Sept2 Oct
24,213Peak Premier in tracked matches
22Days played since 2026-09-01

Premier CS Rating

  • At peak — 24,213
  • +1,121 over 30 days · improving
  • Next: Red band at 25,000 — 787 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

Share this profile

CSDB.GGCel0stFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER24,213 · Pink bandcsdb.gg/stats

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Performance scores

Aim89
Positioning75
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY56–33–11Last 10056%Win rateLWWWWTTWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · +24ms reaction

Win rate down 20pp 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 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 498ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 516ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 505ms

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 (+1.7 against its own average).

Aim8.9
Utility7.3
Positioning7.5
Opening Duels5.8
Clutch2.6

Sharp aimer

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

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, 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 89 — the mechanical foundation is a clear strength.

T openings. 71% T opening-duel success — entries that actually open the round.

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

Aim8.9
Positioning7.5
Utility7.3
Mechanics8.1
Opening Duels8.5
Win Impact10.0

Composite 8.5/10 (Elite), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time510ms−23ms
first ⅓ avg 533ms → last ⅓ avg 510ms
Headshot accuracy15.5%−0.2%
first ⅓ avg 15.8% → last ⅓ avg 15.5%

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.

Personal bests

0.23Best match rating · 9–4 · inferno, 25 Sept →
50%Best headshot accuracy · 0–4 · dust2, 2 Oct →
289msFastest reaction time · 9–4 · vertigo, 24 Sept →
13–1Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 61% over 66infernoWeakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
dust2A6640–2661%0.01
infernoB2010–1050%0.05
vertigo—41–325%0.03
nuke—31–233%0.04
mirage—32–167%0.04
ancient—21–150%0.06
cache—21–150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

231Matches
52%Win rate
1.14Avg K/D
81.6ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
67%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2367%1.0618.0
Ancient250%0.9017.5

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.

14.0%Headshot accuracy
40.6%Accuracy (enemy spotted)
43.2%Spray accuracy
86.5%Counter-strafing
7.9°Preaim
514msReaction time
71.4%T opening success
58.1%CT opening success
0.69Enemies flashed / flash
12.9%Flash assists
13.42HE damage / grenade
11.54Flashes / 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. 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 14.0078% — below the 15% mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
dust20–4-0.0350%2 Oct →
dust213–8-0.049%2 Oct →
dust213–60.0213%2 Oct →
dust213–50.0914%2 Oct →
inferno13–100.049%2 Oct →
inferno12–12-0.0115%1 Oct →
dust212–120.0416%1 Oct →
dust213–10-0.038%1 Oct →
dust213–50.0321%1 Oct →
dust212–160.009%1 Oct →
dust213–10-0.0216%30 Sept →
dust213–20.0116%30 Sept →
dust213–70.0418%29 Sept →
dust213–10.1213%29 Sept →
ancient11–130.0414%29 Sept →
dust213–7-0.0312%29 Sept →
dust213–100.0417%28 Sept →
dust28–130.0214%28 Sept →
dust213–100.0113%28 Sept →
dust213–2-0.0311%28 Sept →
dust212–12-0.0210%27 Sept →
dust213–80.0716%27 Sept →
dust213–50.0815%27 Sept →
dust212–12-0.0315%27 Sept →
vertigo5–9-0.0324%27 Sept →
dust213–50.0718%26 Sept →
dust211–13-0.0012%26 Sept →
dust213–110.0117%26 Sept →
dust213–7-0.027%26 Sept →
dust212–10.0329%26 Sept →
dust213–20.0811%26 Sept →
vertigo11–13-0.0012%25 Sept →
dust212–12-0.0219%25 Sept →
cache13–60.0434%25 Sept →
dust213–70.0520%25 Sept →
ancient7–00.0817%25 Sept →
inferno9–40.2318%25 Sept →
inferno9–00.0912%24 Sept →
dust213–11-0.0111%24 Sept →
dust25–130.0113%24 Sept →
dust213–10.0419%24 Sept →
dust211–130.0013%24 Sept →
dust22–13-0.1319%24 Sept →
vertigo9–40.1414%24 Sept →
nuke8–80.1716%24 Sept →
dust213–30.0111%23 Sept →
dust213–30.0417%23 Sept →
inferno6–9-0.035%23 Sept →
dust24–13-0.0422%22 Sept →
dust212–120.0412%22 Sept →
inferno13–40.1819%22 Sept →
inferno13–50.049%22 Sept →
dust213–80.0112%22 Sept →
dust213–110.037%18 Sept →
dust213–100.0118%18 Sept →
dust213–10.0819%18 Sept →
inferno13–110.1113%18 Sept →
nuke6–13-0.0815%18 Sept →
dust211–13-0.059%18 Sept →
mirage5–13-0.0115%17 Sept →
inferno4–90.029%17 Sept →
inferno13–60.0323%16 Sept →
inferno8–13-0.0117%16 Sept →
cache5–13-0.086%15 Sept →
mirage13–100.109%15 Sept →
dust213–50.0911%15 Sept →
mirage13–90.0314%15 Sept →
dust23–13-0.0610%15 Sept →
dust212–120.0416%14 Sept →
dust212–12-0.0515%14 Sept →
dust213–80.0919%14 Sept →
inferno3–90.0922%14 Sept →
nuke13–10.049%12 Sept →
dust213–9-0.0311%12 Sept →
dust213–30.0012%12 Sept →
dust25–130.0625%12 Sept →
dust210–13-0.0421%12 Sept →
inferno8–80.1234%12 Sept →
dust29–130.0114%11 Sept →
dust213–70.0420%11 Sept →
dust27–13-0.106%11 Sept →
inferno9–70.0722%11 Sept →
inferno8–80.0939%11 Sept →
dust210–13-0.0417%10 Sept →
dust213–9-0.0211%10 Sept →
dust29–130.018%10 Sept →
dust213–4-0.0315%10 Sept →
vertigo10–130.0114%10 Sept →
inferno13–60.0514%9 Sept →
inferno9–60.029%9 Sept →
inferno4–9-0.0912%9 Sept →
inferno5–9-0.0710%9 Sept →
dust27–13-0.0512%8 Sept →
dust213–60.0418%8 Sept →
dust213–20.0716%8 Sept →
dust213–50.0616%8 Sept →
dust213–5-0.0313%8 Sept →
dust28–13-0.0415%8 Sept →
inferno5–90.0516%8 Sept →
dust26–13-0.0113%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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