Smarty1811ツ

Smarty1811ツ — CS2 Stats

DE76561198158715261[U:1:198449533]Steam profile ↗✓ No bans

2,513Tracked matches67%Win rate2020Tracked since
6,952Hours in CS5Hrs last 2 wks
CSDB Rating7.4 StrongSupport
Premier CS Rating19,999Top 50% of 212,910 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85388 of 259666 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (2 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: 19,999 -4,666 27 Jun – 1 Nov · 15 days played
18,25624,665peak 24,66527 Jun1 Nov
24,999Peak Premier in tracked matches
33Days played since 2026-06-22

Premier CS Rating

  • 4,666 below peak (24,665)
  • -1 over 30 days · steady
  • -110 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate43.8%44.4%46.9%3.1% short
Shot accuracy15.9%11.9%13.0%above
Kill/death ratio0.871.031.080.21 short
Match win rate46.7%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSmarty1811ツPREMIER19,999 · Purple bandcsdb.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

Aim88
Positioning57
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateTWWWWLLWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · −6ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 553ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 574ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 577ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim8.8
Utility6.6
Positioning5.7
Opening Duels2.5
Clutch3.8

Sharp aimerExcellent counter-strafing

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 595ms 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

Aim8.8
Positioning5.7
Utility6.6
Mechanics8.5
Opening Duels3.4
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time605ms−86ms
first ⅓ avg 692ms → last ⅓ avg 605ms
Headshot accuracy24.6%−2.9%
first ⅓ avg 27.5% → last ⅓ avg 24.6%

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

0.16Best match rating · 13–4 · dust2, 1 Oct →
100%Best headshot accuracy · 2–13 · dust2, 4 Jul →
406msFastest reaction time · 1–13 · dust2, 16 Jul →
13–1Biggest win · dust2, 15 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 63% over 8anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%-0.01
cacheB3016–1453%-0.01
mirageC219–1243%-0.02
ancientA85–363%0.01
anubisD72–529%-0.02
vertigo—22–0100%0.05
nuke—10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,820Lifetime kills
0.87K/D
9,746Matches
46.7%Match win rate · Top 50% of Purple band
43.8%Headshot %
15.9%Shot accuracy · Top 25% of Purple band
21,258MVPs
5,872Hours (in match)
13,575Bombs planted
2,192Bombs defused

Most-used weapons

AK-4755,831
AWP24,089
P2503,286
MP93,111
Knife3,019

Lifetime map wins

24,468dust2
11,552inferno
5,013vertigo
3,594train
2,090cbble
1,723nuke
382office
249italy

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

Faceit stats

Combat

2,034Matches
51%Win rate
1.01Avg K/D
70.7ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22475%1.1214.8
Anubis2255%1.1716.2
Mirage1656%0.9912.3
Ancient1464%1.1412.4
Vertigo1070%1.4218.9
Cache450%1.2212.8
Overpass2100%0.9413.5
Inferno250%0.8617.5

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.

24.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.7%Spray accuracy
88.2%Counter-strafing
8.6°Preaim
595msReaction time
47.3%T opening success
40.1%CT opening success
0.65Enemies flashed / flash
8.2%Flash assists
9.84HE damage / grenade
9.93Flashes / match

Recommended for you

Spend your practice time on Anubis

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 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0022%1 Nov →
dust213–40.0730%1 Nov →
ancient13–90.0219%1 Nov →
mirage13–50.0814%31 Oct →
dust213–8-0.0137%31 Oct →
cache5–13-0.0222%28 Oct →
dust211–130.0127%18 Oct →
dust23–10.0825%18 Oct →
dust23–13-0.0713%18 Oct →
cache13–11-0.0337%18 Oct →
dust216–130.0119%11 Oct →
ancient15–150.0016%11 Oct →
cache13–8-0.0632%11 Oct →
dust24–13-0.0238%11 Oct →
cache13–6-0.0020%2 Oct →
dust213–40.1630%1 Oct →
mirage5–13-0.0221%26 Sept →
anubis10–130.0825%26 Sept →
cache2–13-0.0123%26 Sept →
vertigo13–110.0929%23 Sept →
cache12–12-0.0228%14 Sept →
dust213–8-0.0322%14 Sept →
cache13–9-0.0523%14 Sept →
mirage13–40.0431%1 Sept →
dust213–3-0.0033%1 Sept →
anubis13–16-0.0621%6 Aug →
dust23–130.0217%6 Aug →
dust213–60.0135%4 Aug →
dust213–11-0.0213%3 Aug →
cache13–100.0432%3 Aug →
anubis2–13-0.0820%2 Aug →
dust28–13-0.0328%2 Aug →
mirage12–16-0.0311%27 Jul →
ancient13–20.1141%27 Jul →
anubis13–30.0656%27 Jul →
cache13–40.0240%27 Jul →
anubis7–13-0.1118%27 Jul →
dust213–100.0521%24 Jul →
cache2–6-0.0622%18 Jul →
dust28–130.0136%16 Jul →
dust21–13-0.1050%16 Jul →
cache4–130.0141%16 Jul →
mirage3–13-0.0822%16 Jul →
dust213–60.0020%16 Jul →
mirage8–13-0.0328%16 Jul →
cache10–13-0.0527%15 Jul →
anubis13–7-0.0224%15 Jul →
dust213–10.0229%15 Jul →
ancient13–7-0.0219%14 Jul →
cache13–7-0.0116%14 Jul →
mirage2–13-0.0729%14 Jul →
mirage8–13-0.0327%14 Jul →
mirage13–90.0333%14 Jul →
cache9–13-0.0623%14 Jul →
dust22–13-0.0743%14 Jul →
nuke11–130.0029%11 Jul →
cache14–16-0.0422%10 Jul →
mirage13–30.0634%10 Jul →
dust213–7-0.0328%10 Jul →
mirage9–13-0.0720%10 Jul →
cache0–13-0.0820%10 Jul →
ancient13–80.0620%10 Jul →
mirage0–13-0.060%10 Jul →
mirage0–13-0.060%10 Jul →
dust213–9-0.0424%10 Jul →
cache13–50.0919%10 Jul →
ancient13–4-0.0215%10 Jul →
anubis15–15-0.0114%10 Jul →
mirage5–13-0.0536%10 Jul →
cache13–4-0.0129%9 Jul →
mirage13–110.0524%9 Jul →
dust25–13-0.0129%9 Jul →
mirage9–1-0.0218%6 Jul →
dust26–13-0.0321%6 Jul →
cache13–9-0.0120%6 Jul →
mirage2–13-0.1029%5 Jul →
dust213–3-0.0028%5 Jul →
dust29–13-0.0235%5 Jul →
mirage13–7-0.0125%5 Jul →
dust215–15-0.0542%4 Jul →
dust22–13-0.02100%4 Jul →
cache12–12-0.0330%29 Jun →
dust213–11-0.0432%29 Jun →
cache13–11-0.0723%29 Jun →
mirage5–13-0.0032%27 Jun →
cache13–40.0218%27 Jun →
mirage13–11-0.0719%27 Jun →
cache13–70.0124%25 Jun →
cache5–13-0.0224%25 Jun →
cache13–6-0.0031%25 Jun →
dust212–12-0.0022%24 Jun →
cache13–10-0.0413%24 Jun →
mirage13–90.0224%24 Jun →
ancient10–13-0.0628%24 Jun →
cache10–130.0519%23 Jun →
dust28–13-0.0531%23 Jun →
cache12–120.0217%22 Jun →
cache8–13-0.0421%22 Jun →
cache13–90.0719%22 Jun →
vertigo13–70.0131%22 Jun →

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 →

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