Smoky

Smoky — CS2 Stats

US76561198334703985[U:1:374438257]Steam profile ↗✓ No bans

906Tracked matches43%Win rate2021Tracked since
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating19,889Purple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#13318 of 31742 tracked
Ladder ranks via Leetify

Rating over time

19,889Peak Premier on CSDB
1Days observed since 2026-08-28

Premier CS Rating

  • At peak — 19,889
  • Next: Pink band at 20,000 111 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGSmokyPREMIER19,889 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateLLTLWWLLWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression4.0
Utility5.9
Positioning4.4
Opening Duels1.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 48% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim6.4
Positioning4.4
Utility5.9
Mechanics7.8
Opening Duels2.3
Win Impact2.6

Composite 5.3/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time631ms+35ms
first ⅓ avg 596ms → last ⅓ avg 631ms
Headshot accuracy14.0%−2.5%
first ⅓ avg 16.5% → 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.

Highlights

0.20Best rating — inferno 13–7
131Biggest win — ancient
11Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB168850%0.02
cacheA1610663%0.01
infernoD1551033%0.01
dust2D124833%0.02
nukeB126650%0.01
ancientC114736%0.01
anubisD62433%0.01
vertigoS54180%0.01
train42250%0.10
office1010%-0.04
fachwerk110100%0.06
overpass110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.44Avg K/D
ADR
20%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.255.0
Inferno10%0.6210.0

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.

14.5%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.5%Spray accuracy
85.0%Counter-strafing
9.5°Preaim
635msReaction time
19.9%T opening success
48.4%CT opening success
0.66Enemies flashed / flash
6.0%Flash assists
9.02HE damage / grenade
9.09Flashes / 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 14.4521% — below the 15% mark we flag

    Aim Training
  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 19.9199% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.008%29 Aug
vertigo7–13-0.0617%18 Aug
inferno12–12-0.019%16 Aug
dust28–13-0.029%16 Aug
nuke13–70.1117%10 Aug
inferno13–9-0.0417%10 Aug
ancient10–130.0210%9 Aug
inferno7–13-0.0614%9 Aug
ancient13–30.0615%9 Aug
dust27–130.0011%9 Aug
dust210–13-0.0213%6 Aug
ancient7–13-0.0332%6 Aug
ancient7–130.0116%2 Aug
nuke5–13-0.0410%2 Aug
ancient13–10.0712%2 Aug
mirage6–13-0.035%2 Aug
inferno6–13-0.0814%2 Aug
dust211–13-0.0423%2 Aug
cache13–110.0412%1 Aug
dust213–60.1015%1 Aug
dust213–30.0617%1 Aug
nuke13–110.0217%31 Jul
inferno12–120.028%31 Jul
inferno6–130.018%29 Jul
mirage13–100.0510%29 Jul
cache9–13-0.0320%24 Jul
inferno10–13-0.0319%24 Jul
cache13–4-0.0418%24 Jul
mirage13–80.0922%23 Jul
mirage16–130.0316%22 Jul
vertigo13–90.079%21 Jul
cache13–9-0.0212%21 Jul
inferno8–13-0.039%21 Jul
nuke11–13-0.016%20 Jul
dust213–160.0018%20 Jul
cache8–13-0.0420%20 Jul
ancient13–100.0223%20 Jul
nuke8–130.019%18 Jul
inferno8–13-0.0415%18 Jul
cache7–13-0.0114%18 Jul
dust213–50.0418%18 Jul
nuke6–13-0.0616%16 Jul
inferno13–40.0930%16 Jul
mirage2–13-0.0315%15 Jul
anubis9–130.0023%15 Jul
mirage11–130.0812%15 Jul
office10–13-0.0410%15 Jul
mirage5–130.0117%12 Jul
cache10–130.0513%12 Jul
inferno13–40.0020%12 Jul
cache13–30.0820%12 Jul
mirage15–150.0418%12 Jul
nuke13–10-0.0017%10 Jul
cache13–50.0018%10 Jul
mirage9–13-0.038%9 Jul
fachwerk13–80.0615%9 Jul
train13–50.1913%9 Jul
cache13–10-0.0621%9 Jul
cache13–40.0417%8 Jul
vertigo13–80.0315%8 Jul
cache13–50.0115%8 Jul
mirage13–7-0.0110%8 Jul
dust210–130.0310%8 Jul
anubis13–40.0716%7 Jul
dust213–90.1122%7 Jul
vertigo13–80.0415%7 Jul
cache13–100.0114%6 Jul
ancient9–130.0111%5 Jul
anubis14–160.0017%5 Jul
dust27–13-0.036%4 Jul
ancient15–15-0.026%4 Jul
inferno10–130.0911%4 Jul
mirage16–13-0.088%4 Jul
nuke16–140.0322%4 Jul
ancient11–13-0.0513%4 Jul
anubis10–130.0417%3 Jul
nuke13–11-0.0121%3 Jul
ancient9–130.0112%3 Jul
nuke14–16-0.0217%3 Jul
inferno13–9-0.0314%3 Jul
mirage10–130.0417%3 Jul
train9–130.0718%2 Jul
cache5–13-0.0215%2 Jul
cache13–50.1117%2 Jul
mirage13–60.1613%29 Jun
inferno13–70.2014%29 Jun
ancient13–80.059%29 Jun
vertigo13–7-0.0324%28 Jun
train13–30.0617%28 Jun
mirage13–3-0.0021%28 Jun
anubis13–4-0.0518%28 Jun
nuke13–40.0428%28 Jun
overpass13–70.0714%28 Jun
mirage13–11-0.0217%28 Jun
inferno8–130.0018%27 Jun
nuke9–13-0.0116%27 Jun
dust26–130.0118%27 Jun
anubis10–130.0131%27 Jun
cache12–120.0918%26 Jun
train10–130.0623%26 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →