smoke

smoke — CS2 Stats

76561199222865096[U:1:1262599368]Steam profile ↗✓ No bans

1,631Tracked matches41%Win rate2021Tracked since
2,192Hours in CS2Hrs last 2 wks
CSDB Rating6.2 SolidAggressive Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGsmokeFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWTLWLLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression8.9
Utility5.0
Positioning5.6
Opening Duels4.4
Clutch3.6

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; higher opening-fight frequency.

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

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 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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
Positioning5.6
Utility5.0
Mechanics7.8
Opening Duels4.4
Win Impact2.1

Composite 6.2/10 (Solid), 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 0.03 → last ⅓ avg 0.01
Reaction time572ms−0ms
first ⅓ avg 573ms → last ⅓ avg 572ms
Headshot accuracy20.8%+0.1%
first ⅓ avg 20.7% → last ⅓ avg 20.8%

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.

Highlights

0.16Best rating — ancient 13–9
132Biggest win — cache
5Longest win streak
511In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 64% over 11anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA32181456%0.03
dust2C1981142%0.03
infernoC135838%-0.00
ancientA117464%0.05
cacheC94544%0.01
anubisD72529%0.00
overpassA53260%0.04
nuke42250%0.01

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

34,476Lifetime kills
1.03K/D
1,816Matches
49.7%Match win rate · Top 25% of tracked players
43.8%Headshot %
6.3%Shot accuracy
4,592MVPs
837Hours (in match)
2,383Bombs planted
708Bombs defused

Most-used weapons

AK-4711,605
AWP3,828
Knife828
MP9772

Lifetime map wins

3,131dust2
2,391inferno
1,191nuke
725vertigo
522train
37office
26lake
13italy

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

Faceit stats

Combat

530Matches
52%Win rate
1.18Avg K/D
83.4ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
32%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8449%1.2316.9
Ancient2854%1.1717.6
Dust22458%1.1715.9
Inferno1937%1.0316.6
Vertigo1968%1.2117.4
Nuke1164%1.1617.4
Anubis911%1.0816.3
Train2100%1.7017.5

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.

18.6%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.7%Spray accuracy
85.1%Counter-strafing
7.5°Preaim
563msReaction time
38.8%T opening success
56.6%CT opening success
0.57Enemies flashed / flash
2.8%Flash assists
9.17HE damage / grenade
6.91Flashes / 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

    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 38.831% — below the 40% mark we flag

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 & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0829%16 Aug
mirage15–15-0.0110%15 Aug
dust212–160.0123%9 Aug
inferno13–3-0.0117%8 Aug
ancient14–160.0021%7 Aug
inferno7–13-0.0123%17 Jul
cache13–20.0913%12 Jul
cache11–13-0.0119%9 Jul
dust213–20.0622%5 Jul
dust213–100.0113%5 Jul
cache7–13-0.0620%3 Jul
overpass13–16-0.0012%3 Jul
anubis5–130.0315%3 Jul
inferno4–130.0120%2 Jul
mirage3–7-0.0019%1 Jul
nuke7–130.0326%1 Jul
dust211–130.0315%1 Jul
ancient13–90.0521%1 Jul
inferno13–3-0.0318%1 Jul
ancient13–80.0723%30 Jun
overpass13–80.0923%30 Jun
anubis16–120.0019%30 Jun
anubis9–13-0.0412%30 Jun
mirage10–130.0118%30 Jun
anubis13–7-0.0217%30 Jun
inferno0–20.04100%30 Jun
dust24–130.0126%29 Jun
dust216–14-0.0022%29 Jun
inferno7–13-0.0610%29 Jun
ancient10–130.0711%29 Jun
mirage10–0-0.0120%29 Jun
ancient13–60.0918%29 Jun
mirage9–13-0.0512%29 Jun
inferno13–7-0.024%29 Jun
mirage13–60.0517%29 Jun
dust213–20.0513%29 Jun
dust213–110.015%28 Jun
mirage13–50.0214%28 Jun
dust23–13-0.0111%28 Jun
mirage13–40.0311%28 Jun
mirage9–130.0438%28 Jun
ancient13–8-0.019%28 Jun
mirage13–100.0817%28 Jun
mirage13–60.0121%28 Jun
overpass5–13-0.0134%28 Jun
inferno14–160.0217%27 Jun
overpass13–30.1221%27 Jun
ancient13–40.0517%27 Jun
dust213–70.0919%27 Jun
inferno15–150.0120%21 Jun
inferno13–90.0014%21 Jun
inferno8–130.0311%19 Jun
mirage13–90.0212%19 Jun
mirage15–150.0110%19 Jun
anubis6–130.082%19 Jun
ancient13–70.0511%19 Jun
cache5–13-0.0313%19 Jun
overpass13–110.0028%18 Jun
nuke13–30.058%18 Jun
dust28–13-0.0016%18 Jun
mirage12–160.0313%17 Jun
dust29–130.0412%14 Jun
mirage13–70.0311%14 Jun
dust213–40.1615%13 Jun
dust25–13-0.0621%13 Jun
nuke11–13-0.0321%13 Jun
dust210–13-0.0036%13 Jun
anubis11–130.0219%11 Jun
mirage13–90.025%8 Jun
mirage13–110.0317%1 Jun
mirage11–13-0.0118%1 Jun
dust24–130.0121%31 May
dust214–16-0.0318%31 May
ancient13–90.1623%31 May
ancient8–130.0616%31 May
mirage13–9-0.0226%31 May
mirage13–60.0312%31 May
dust213–40.1226%31 May
mirage7–130.0219%31 May
inferno5–3-0.0231%30 May
mirage13–70.1623%29 May
inferno9–13-0.0313%25 May
cache11–13-0.0118%19 May
cache2–60.0450%3 May
cache13–90.0533%1 May
cache13–9-0.0133%1 May
cache13–80.0115%30 Apr
mirage13–4-0.0214%20 Apr
anubis8–13-0.0510%20 Apr
mirage14–160.0014%19 Apr
nuke13–60.0124%19 Apr
mirage4–120.0720%18 Apr
dust215–150.0010%18 Apr
mirage3–13-0.0116%8 Apr
mirage13–60.0637%5 Apr
ancient5–13-0.0217%5 Apr
mirage7–130.1022%5 Apr
mirage13–40.0717%4 Apr
mirage13–40.1527%4 Apr
mirage1–70.0024%4 Apr

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 →