smokedope2016fangirl

smokedope2016fangirl — CS2 Stats

SE76561198158206199[U:1:197940471]Steam profile ↗✓ No bans

564Tracked matches47%Win rate2022Tracked since
1,381Hours in CS12Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
CSDB Leaderboard#66294 of 251497 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,463 → 1,463
+11Tracked matches · now 564
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

Premier CS Rating: 21,076 -1,742 26 May – 6 Sept · 10 days played
21,07622,818peak 22,81826 May6 Sept
23,401Peak Premier in tracked matches
1,463Highest Faceit ELO seen on CSDB
24Days played since 2026-05-26

Faceit ELO

  • At peak — 1,463
  • Next: Level 8 at 1,531 — 68 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-06
  • Level 6 first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGsmokedope2016fangirlPEAK ELO1,463csdb.gg/stats

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Performance scores

Aim83
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateWWWWLWWWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −17.9pp headshot accuracy · +60ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 619ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 587ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 557ms

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 (+0.9 against its own average).

Aim8.3
Utility4.9
Positioning4.8
Opening Duels3.0
Clutch3.4

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

device

Plays most like device 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim8.3
Positioning4.8
Utility4.9
Mechanics7.6
Opening Duels1.9
Win Impact3.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time566ms−19ms
first ⅓ avg 584ms → last ⅓ avg 566ms
Headshot accuracy26.8%+4.5%
first ⅓ avg 22.3% → last ⅓ avg 26.8%

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.

Personal bests

0.23Best match rating · 9–4 · inferno, 22 Jun →
100%Best headshot accuracy · 2–0 · ancient, 14 Jun →
391msFastest reaction time · 9–6 · nuke, 22 Jun →
13–2Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
8–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 78% over 18dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%0.00
nukeS1814–478%0.04
mirageC135–838%-0.01
cacheA95–456%0.00
dust2D72–529%-0.02
officeA74–357%0.00
ancientC73–443%-0.02
poseidonS64–267%0.06
anubis—32–167%-0.02
overpass—33–0100%0.02
rush_001—10–10%0.02
vertigo—11–0100%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,610Lifetime kills
1.04K/D · Top 50% of tracked players
2,208Matches
48.4%Match win rate · Top 25% of tracked players
44.2%Headshot % · Top 50% of tracked players
14.6%Shot accuracy · Top 50% of tracked players
7,798MVPs
806Hours (in match)
1,505Bombs planted
404Bombs defused

Most-used weapons

AK-4711,811
AWP5,715
P250769
MP9742
Knife719
P90664

Lifetime map wins

2,732inferno
1,488dust2
793cbble
626nuke
510train
283vertigo
203lake
167office

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

Faceit stats

Combat

131Matches
56%Win rate
1.15Avg K/D
78.5ADR
53%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4360%1.1716.5
Ancient3956%1.2317.1
Inferno2450%1.0615.4
Overpass1267%1.2114.5
Dust2838%1.0616.8
Nuke1100%1.4320.0
Anubis1100%0.7613.0

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.

26.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.4%Spray accuracy
84.4%Counter-strafing
9.3°Preaim
593msReaction time
30.1%T opening success
45.5%CT opening success
0.50Enemies flashed / flash
3.5%Flash assists
9.64HE damage / grenade
9.65Flashes / 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 0.4988 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 30.0661% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–4-0.0124%12 Oct →
inferno13–3-0.0018%12 Oct →
dust213–11-0.0426%12 Oct →
mirage13–20.0416%11 Oct →
dust24–13-0.0527%11 Oct →
inferno13–9-0.0518%11 Oct →
inferno13–30.1116%11 Oct →
mirage13–80.0418%9 Oct →
dust27–13-0.0222%9 Oct →
dust210–130.0226%9 Oct →
rush_0010–40.0275%30 Sept →
inferno7–9-0.0018%22 Jul →
inferno7–90.0632%22 Jul →
office13–80.1034%22 Jul →
office13–90.0251%22 Jul →
office6–13-0.0450%22 Jul →
office13–30.0145%18 Jul →
nuke8–13-0.0428%18 Jul →
office13–60.0332%18 Jul →
inferno9–4-0.0324%12 Jul →
nuke8–8-0.0426%12 Jul →
office4–13-0.059%12 Jul →
nuke2–130.0713%12 Jul →
cache11–13-0.0513%12 Jul →
office8–13-0.0631%12 Jul →
cache13–7-0.0017%2 Jul →
cache5–130.0219%2 Jul →
cache2–130.0221%2 Jul →
poseidon9–50.0830%26 Jun →
inferno8–8-0.0022%26 Jun →
nuke9–70.0432%26 Jun →
poseidon9–3-0.0232%26 Jun →
nuke9–30.1619%26 Jun →
inferno7–90.0253%26 Jun →
cache13–8-0.0036%25 Jun →
dust213–7-0.0246%25 Jun →
mirage6–13-0.0233%25 Jun →
dust211–13-0.0223%22 Jun →
inferno8–13-0.0837%22 Jun →
nuke9–60.0223%22 Jun →
inferno9–40.2320%22 Jun →
nuke9–60.0914%22 Jun →
nuke9–6-0.1117%22 Jun →
poseidon9–30.1838%22 Jun →
nuke9–7-0.0347%22 Jun →
inferno9–30.0623%22 Jun →
mirage6–13-0.0222%20 Jun →
mirage17–19-0.0725%19 Jun →
cache13–100.0523%18 Jun →
cache8–13-0.0123%18 Jun →
mirage13–100.0217%14 Jun →
ancient2–0-0.02100%14 Jun →
ancient13–60.0519%14 Jun →
ancient12–16-0.0314%14 Jun →
cache13–10-0.0137%14 Jun →
mirage9–13-0.0626%12 Jun →
nuke9–6-0.108%9 Jun →
nuke9–40.0822%9 Jun →
inferno5–90.0329%9 Jun →
inferno9–30.1315%9 Jun →
poseidon5–9-0.0925%9 Jun →
inferno5–9-0.1626%9 Jun →
poseidon9–40.2126%9 Jun →
nuke9–40.0727%9 Jun →
cache13–2-0.0135%7 Jun →
inferno9–70.0630%2 Jun →
nuke9–7-0.0418%2 Jun →
nuke9–50.1242%2 Jun →
nuke9–10.1945%2 Jun →
poseidon7–90.0418%2 Jun →
nuke9–20.1343%2 Jun →
inferno3–9-0.1850%2 Jun →
mirage7–13-0.0111%1 Jun →
inferno16–140.0021%29 May →
anubis13–3-0.0020%29 May →
inferno11–13-0.0416%29 May →
mirage10–130.0226%29 May →
ancient13–8-0.0116%29 May →
overpass13–60.0240%29 May →
inferno0–40.0718%29 May →
ancient10–13-0.054%29 May →
overpass13–40.0012%29 May →
dust28–13-0.0312%28 May →
anubis11–13-0.0325%28 May →
anubis13–8-0.0321%28 May →
overpass13–80.0316%28 May →
ancient6–13-0.0813%28 May →
inferno14–16-0.0416%27 May →
mirage13–100.0123%27 May →
ancient10–130.0017%27 May →
inferno8–8-0.0929%27 May →
inferno6–9-0.0230%27 May →
vertigo9–5-0.1427%27 May →
inferno8–8-0.0019%27 May →
mirage9–13-0.0520%27 May →
inferno13–50.0124%27 May →
mirage0–3-0.070%26 May →
inferno13–160.0118%26 May →
mirage13–11-0.0120%26 May →
nuke5–130.0326%26 May →

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 →

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