Cel1a

Cel1a — CS2 Stats

76561198218826769[U:1:258561041]Steam profile ↗✓ No bans

740Tracked matches50%Win rate2025Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating17,505Purple band · top ~18.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Aug 2026 (84 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,505 +2,872 22 Jun – 20 Aug · 19 days played
14,63319,999peak 19,99922 Jun20 Aug
19,999Peak Premier in tracked matches
34Days played since 2026-06-22

Premier CS Rating

  • 2,494 below peak (19,999)
  • -1,820 over 30 days · declining
  • Next: Pink band at 20,000 — 2,495 to go
  • Reached: Purple band · Blue band · Light Blue band

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

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CSDB.GGCel1aPREMIER17,505 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning47
Utility29

0–100 skill scores via Leetify.

Recent form

COLD51–43–6Last 10051%Win rateTLLLLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −6.5pp headshot accuracy · −153ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 533ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 552ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

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).

Aim5.3
Utility2.9
Positioning4.7
Opening Duels1.0

Strong CT-side openerLimited 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

jL

Plays most like jL 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim5.3
Positioning4.7
Utility2.9
Mechanics7.3
Opening Duels1.8
Win Impact5.0

Composite 4.7/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time629ms+10ms
first ⅓ avg 619ms → last ⅓ avg 629ms
Headshot accuracy14.0%−0.9%
first ⅓ avg 14.9% → last ⅓ avg 14.0%

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

0.12Best match rating · 13–5 · inferno, 12 Jul →
36%Best headshot accuracy · 13–8 · dust2, 5 Jul →
438msFastest reaction time · 14–16 · anubis, 20 Aug →
13–1Biggest win · train, 14 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
3–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 69% over 16nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.00
infernoA2012–860%-0.02
cacheS1611–569%0.01
mirageC114–736%-0.02
ancientC94–544%-0.01
anubisD62–433%-0.00
nukeD51–420%0.00
vertigo—22–0100%0.07
office—21–150%0.06
overpass—20–20%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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.

13.7%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.6%Spray accuracy
83.0%Counter-strafing
13.5°Preaim
623msReaction time
19.8%T opening success
44.4%CT opening success
0.41Enemies flashed / flash
2.3%Flash assists
3.75HE damage / grenade
4.86Flashes / 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 13.5369° — 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 13.6668% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4111 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.009%31 Aug →
cache6–130.048%31 Aug →
anubis14–16-0.079%20 Aug →
dust211–130.0614%20 Aug →
anubis12–16-0.0212%14 Aug →
train13–1-0.025%14 Aug →
inferno10–13-0.0511%11 Aug →
cache13–60.0010%11 Aug →
nuke5–130.0512%11 Aug →
inferno13–40.0415%11 Aug →
mirage7–130.0018%11 Aug →
nuke2–130.0522%10 Aug →
cache13–9-0.0415%10 Aug →
dust212–120.0519%10 Aug →
ancient11–130.0014%10 Aug →
mirage6–130.0119%9 Aug →
dust211–130.0019%9 Aug →
cache13–8-0.0615%9 Aug →
dust210–13-0.0316%31 Jul →
dust211–13-0.0613%31 Jul →
mirage13–40.0110%31 Jul →
anubis10–130.045%31 Jul →
inferno13–7-0.015%31 Jul →
dust213–7-0.0221%31 Jul →
cache13–60.0317%31 Jul →
vertigo13–20.0912%30 Jul →
dust213–9-0.0819%29 Jul →
mirage13–60.0419%29 Jul →
vertigo13–60.0620%29 Jul →
cache13–4-0.0210%27 Jul →
dust213–60.0310%27 Jul →
dust213–6-0.0228%27 Jul →
dust27–130.0214%27 Jul →
dust213–80.0214%25 Jul →
dust213–90.0313%25 Jul →
cache5–13-0.0320%25 Jul →
ancient9–13-0.0718%25 Jul →
mirage12–12-0.0415%25 Jul →
cache13–90.0117%25 Jul →
dust211–130.0216%23 Jul →
nuke13–3-0.018%23 Jul →
cache12–120.0822%23 Jul →
ancient13–8-0.049%22 Jul →
dust28–13-0.0310%22 Jul →
mirage10–130.0218%22 Jul →
ancient13–10-0.0114%22 Jul →
ancient11–13-0.0016%21 Jul →
inferno13–7-0.0410%21 Jul →
nuke4–13-0.066%21 Jul →
cache10–130.016%21 Jul →
inferno9–13-0.0610%19 Jul →
cache13–40.0910%19 Jul →
mirage3–13-0.1011%19 Jul →
dust212–120.0513%19 Jul →
anubis13–60.0815%18 Jul →
inferno13–80.0015%18 Jul →
inferno5–13-0.0513%18 Jul →
dust216–12-0.0419%18 Jul →
inferno6–13-0.069%17 Jul →
dust213–9-0.068%17 Jul →
mirage9–13-0.0523%16 Jul →
dust215–15-0.0311%15 Jul →
cache13–80.0413%15 Jul →
ancient11–130.0413%15 Jul →
mirage16–14-0.0414%15 Jul →
inferno3–13-0.0522%14 Jul →
cache13–110.0611%12 Jul →
inferno13–50.1215%12 Jul →
ancient10–13-0.0615%12 Jul →
cache13–100.0212%11 Jul →
dust213–20.1011%11 Jul →
inferno11–0-0.0420%11 Jul →
inferno10–13-0.0513%11 Jul →
office13–20.0613%8 Jul →
office8–130.0712%8 Jul →
cache9–13-0.0115%7 Jul →
cache13–4-0.0016%7 Jul →
dust211–13-0.0413%5 Jul →
dust213–8-0.0336%5 Jul →
dust25–13-0.0622%4 Jul →
inferno5–13-0.0319%3 Jul →
inferno13–30.0113%30 Jun →
ancient13–110.0019%30 Jun →
mirage13–5-0.0414%28 Jun →
dust213–60.0413%28 Jun →
anubis8–13-0.069%26 Jun →
ancient13–100.0113%26 Jun →
overpass5–130.0116%26 Jun →
dust213–60.1220%25 Jun →
overpass6–13-0.029%25 Jun →
dust21–13-0.1011%25 Jun →
inferno13–80.0415%24 Jun →
inferno13–70.0018%24 Jun →
inferno13–6-0.067%24 Jun →
anubis13–9-0.0010%23 Jun →
inferno13–6-0.018%23 Jun →
inferno13–90.0113%23 Jun →
mirage8–13-0.0814%23 Jun →
dust213–40.0320%22 Jun →
inferno5–13-0.0820%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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