Smiley

Smiley — CS2 Stats

CA76561198001025869[U:1:40760141]Steam profile ↗✓ No bans

927Tracked matches52%Win rate2020Tracked since
8,126Hours in CS6Hrs last 2 wks
CSDB Rating4.6 DevelopingClutch Specialist
Premier CS Rating14,247Blue band · top ~32.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (4 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: 14,247 -2,077 21 Mar – 12 Oct · 35 days played
12,72716,324peak 16,32421 Mar12 Oct
16,324Peak Premier in tracked matches
1,155Highest Faceit ELO seen on CSDB
47Days played since 2026-03-21

Faceit ELO

  • At peak — 1,155
  • Next: Level 6 at 1,201 — 46 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,077 below peak (16,324)
  • +515 over 30 days · improving
  • +81 over 90 days
  • Next: Purple band at 15,000 — 753 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate34.0%42.0%44.3%10.3% short
Shot accuracy15.3%9.6%11.9%above
Kill/death ratio1.380.981.03above
Match win rate57.0%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSmileyPREMIER14,247 · Blue bandPEAK ELO1,155csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning49
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLLLWWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · +20ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 505ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 521ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 511ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.1 against its own average).

Aim5.2
Utility3.7
Positioning4.9
Opening Duels3.4
Clutch9.4

Reliable 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.

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 553ms 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

Aim5.2
Positioning4.9
Utility3.7
Mechanics4.8
Opening Duels4.3
Win Impact5.6

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time555ms−45ms
first ⅓ avg 599ms → last ⅓ avg 555ms
Headshot accuracy15.4%+2.9%
first ⅓ avg 12.6% → last ⅓ avg 15.4%

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

0.08Best match rating · 13–10 · dust2, 12 Apr →
27%Best headshot accuracy · 13–2 · dust2, 19 Sept →
406msFastest reaction time · 13–11 · ancient, 16 Sept →
13–2Biggest win · dust2, 19 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
5–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 60% over 5mirageWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.01
mirageD216–1529%-0.02
infernoC208–1240%-0.02
ancientA116–555%-0.02
nukeD93–633%-0.03
anubisD72–529%-0.01
cacheC52–340%-0.02
overpassA53–260%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,871Lifetime kills
1.38K/D · Top 5% of Blue band
21,375Matches
57.0%Match win rate · Top 5% of Blue band
34.0%Headshot %
15.3%Shot accuracy · Top 25% of Blue band
16,150MVPs
3,546Hours (in match)
2,447Bombs planted
764Bombs defused

Most-used weapons

AK-4757,509
AWP25,373
P908,451
Negev6,094
Molotov5,053
Tec-94,396
FAMAS3,332

Lifetime map wins

24,594dust2
10,615inferno
6,086nuke
3,598vertigo
3,477office
1,485train
1,028italy
582assault

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

Faceit stats

Combat

32Matches
53%Win rate
0.80Avg K/D
73.4ADR
39%Headshot %

Clutches & streaks

67%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2956%0.8616.7
Inferno875%0.8614.4
Mirage743%0.7610.7
Anubis367%0.7010.0
Ancient30%0.599.3
Overpass10%0.7613.0
Nuke1100%0.9417.0

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.

15.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.7%Spray accuracy
71.7%Counter-strafing
10.6°Preaim
553msReaction time
49.3%T opening success
44.8%CT opening success
0.42Enemies flashed / flash
2.4%Flash assists
6.87HE damage / grenade
5.93Flashes / 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 0.4248 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0313%12 Oct →
inferno9–13-0.0216%6 Oct →
nuke10–13-0.0410%5 Oct →
cache13–10-0.0215%4 Oct →
inferno13–9-0.0315%3 Oct →
dust213–8-0.048%19 Sept →
dust213–20.0727%19 Sept →
inferno11–13-0.0417%19 Sept →
nuke13–8-0.0023%19 Sept →
dust216–14-0.039%17 Sept →
cache8–13-0.0621%16 Sept →
mirage13–10-0.0413%16 Sept →
ancient13–11-0.046%16 Sept →
inferno11–13-0.0618%15 Sept →
anubis13–16-0.0017%14 Sept →
dust26–13-0.0213%14 Sept →
dust213–8-0.049%18 Aug →
nuke6–130.0517%18 Aug →
cache16–140.0418%10 Aug →
nuke8–13-0.0513%9 Aug →
inferno8–13-0.0316%9 Aug →
inferno19–15-0.059%9 Aug →
mirage13–11-0.0417%9 Aug →
dust213–6-0.0122%9 Aug →
anubis8–13-0.0319%9 Aug →
dust213–60.0113%8 Aug →
inferno7–13-0.0017%8 Aug →
cache10–13-0.0525%8 Aug →
cache15–15-0.0316%4 Aug →
mirage13–8-0.0323%3 Aug →
ancient12–16-0.0011%4 Jul →
mirage11–130.0219%4 Jul →
inferno13–4-0.055%4 Jul →
nuke7–13-0.0410%4 Jul →
dust215–15-0.0214%4 Jul →
ancient13–10-0.0011%4 Jul →
mirage10–13-0.0519%24 Jun →
mirage13–3-0.048%23 Jun →
dust213–80.0513%21 Jun →
dust28–13-0.0313%20 Jun →
mirage13–40.0622%17 Jun →
overpass7–13-0.0313%17 Jun →
ancient13–110.0211%15 Jun →
mirage8–13-0.074%15 Jun →
inferno8–130.0010%15 Jun →
mirage15–15-0.0311%14 Jun →
ancient13–50.018%14 Jun →
overpass11–130.0014%31 May →
mirage9–130.0212%31 May →
anubis4–13-0.057%18 May →
anubis13–5-0.0115%18 May →
ancient7–13-0.077%18 May →
dust211–13-0.0413%17 May →
dust213–8-0.0117%10 May →
mirage13–60.0318%10 May →
dust28–13-0.081%9 May →
nuke13–9-0.0117%9 May →
inferno5–13-0.0413%9 May →
ancient11–13-0.0811%4 May →
inferno5–130.0318%3 May →
mirage10–130.0312%3 May →
ancient13–6-0.059%2 May →
ancient13–9-0.0113%2 May →
overpass13–6-0.018%2 May →
dust216–13-0.0010%20 Apr →
overpass13–90.0419%20 Apr →
overpass13–80.015%12 Apr →
inferno13–6-0.0215%12 Apr →
dust213–100.0813%12 Apr →
inferno11–130.0316%12 Apr →
ancient12–16-0.0217%12 Apr →
nuke6–13-0.085%12 Apr →
inferno10–130.0313%8 Apr →
nuke13–9-0.058%6 Apr →
anubis13–50.0213%6 Apr →
anubis11–130.0212%6 Apr →
mirage8–13-0.109%5 Apr →
inferno10–13-0.039%4 Apr →
dust29–13-0.0118%4 Apr →
inferno13–9-0.039%4 Apr →
ancient11–13-0.0413%3 Apr →
anubis9–13-0.0316%3 Apr →
dust211–13-0.089%3 Apr →
mirage10–13-0.0622%3 Apr →
mirage7–13-0.0216%3 Apr →
inferno13–2-0.0118%1 Apr →
mirage5–130.0311%31 Mar →
dust213–80.0114%31 Mar →
dust210–13-0.0313%29 Mar →
inferno13–8-0.0520%29 Mar →
dust210–13-0.029%28 Mar →
mirage5–13-0.0413%28 Mar →
inferno13–7-0.0415%27 Mar →
dust211–13-0.048%27 Mar →
mirage9–130.0115%27 Mar →
dust213–10-0.0111%24 Mar →
mirage5–13-0.016%22 Mar →
mirage6–13-0.027%22 Mar →
inferno7–13-0.019%22 Mar →
mirage9–130.0112%21 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.