SMOKEY

SMOKEY — CS2 Stats

76561198113295027[U:1:153029299]Steam profile ↗

1,033Tracked matches41%Win rate2020Tracked since
2,002Hours in CS
CSDB Rating3.7 LearningSupport
Premier CS Rating12,597Blue band · top ~41.1% of ranked players (population est.)
CSDB Leaderboard#9857 of 14073 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGSMOKEYFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,597 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning34
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLWWWLLWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim4.4
Aggression3.5
Utility7.0
Positioning3.4
Opening Duels0.0

Effective flashes

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 77% 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

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning3.4
Utility7.0
Mechanics4.0
Opening Duels0.8
Win Impact2.1

Composite 3.7/10 (Learning), 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 time587ms−55ms
first ⅓ avg 643ms → last ⅓ avg 587ms
Headshot accuracy9.4%−3.3%
first ⅓ avg 12.7% → last ⅓ avg 9.4%

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.

Highlights

0.20Best rating — inferno 9–0
131Biggest win — office
4Longest win streak
95In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 73% over 15dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA159660%-0.00
infernoS1511473%0.01
officeC146843%-0.04
ancientD134931%-0.02
vertigoC125742%-0.03
nukeC114736%-0.02
dust2D82625%-0.02
shelter32167%-0.03
italy3030%-0.05
anubis32167%0.04
cache220100%0.01
overpass1010%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,140Lifetime kills
0.90K/D
4,791Matches
46.2%Match win rate
32.3%Headshot %
14.7%Shot accuracy · Top 50% of tracked players
7,960MVPs
2,002Hours (in match)
1,954Bombs planted
419Bombs defused

Most-used weapons

AK-4712,621
MP710,801
AWP10,420
UMP-454,904
SG 5532,944
P902,237

Lifetime map wins

23,484office
5,120vertigo
4,325dust2
3,632inferno
765cbble
641nuke
601lake
554italy

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

Faceit stats

Combat

15Matches
67%Win rate
1.02Avg K/D
ADR
30%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo4100%1.4113.8
Ancient367%0.586.7
Overpass1100%1.3811.0
Inferno10%0.539.0
Nuke1100%0.609.0

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.

8.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.2%Spray accuracy
68.1%Counter-strafing
10.6°Preaim
586msReaction time
23.7%T opening success
36.7%CT opening success
0.73Enemies flashed / flash
2.6%Flash assists
11.22HE damage / grenade
20.11Flashes / 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 8.8398% — 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 23.6999% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.085%25 Aug
dust213–90.0611%25 Aug
nuke13–5-0.019%25 Aug
ancient13–70.034%24 Aug
mirage9–13-0.093%24 Aug
shelter8–13-0.0215%22 Aug
vertigo13–11-0.0410%22 Aug
office13–10-0.0316%22 Aug
italy9–13-0.035%21 Aug
office13–110.017%21 Aug
inferno13–60.1110%21 Aug
nuke6–13-0.0310%21 Aug
ancient3–13-0.030%21 Aug
vertigo7–13-0.009%18 Aug
office12–12-0.0610%18 Aug
dust25–13-0.1220%18 Aug
inferno10–13-0.059%18 Aug
ancient13–7-0.028%17 Aug
office8–13-0.084%14 Aug
italy2–13-0.115%14 Aug
vertigo3–13-0.065%14 Aug
office10–13-0.078%14 Aug
dust27–13-0.0018%13 Aug
dust28–13-0.128%13 Aug
nuke13–8-0.0122%13 Aug
inferno9–00.2024%12 Aug
ancient9–13-0.015%12 Aug
inferno13–6-0.024%11 Aug
cache13–110.0214%11 Aug
nuke10–13-0.0710%11 Aug
inferno13–10-0.022%10 Aug
office13–80.0311%7 Aug
shelter13–7-0.059%7 Aug
italy6–13-0.0218%7 Aug
vertigo13–8-0.0113%7 Aug
office7–13-0.067%7 Aug
vertigo4–13-0.0710%7 Aug
office13–100.0113%7 Aug
inferno13–40.0315%6 Aug
anubis13–100.037%5 Aug
mirage11–130.0610%5 Aug
nuke13–50.0421%5 Aug
inferno13–30.073%4 Aug
ancient9–130.0411%31 Jul
mirage13–40.0920%31 Jul
dust215–15-0.049%23 Jul
anubis13–50.0111%23 Jul
mirage13–70.0115%22 Jul
ancient13–110.019%21 Jul
mirage7–13-0.098%21 Jul
inferno13–90.051%20 Jul
ancient14–16-0.0111%20 Jul
inferno16–130.029%20 Jul
mirage13–3-0.060%20 Jul
nuke13–60.036%20 Jul
mirage13–9-0.0310%19 Jul
ancient7–13-0.069%19 Jul
ancient8–130.009%19 Jul
mirage6–00.0529%19 Jul
inferno0–13-0.060%19 Jul
vertigo13–6-0.0313%18 Jul
office11–13-0.0414%18 Jul
vertigo12–12-0.007%17 Jul
vertigo9–13-0.006%17 Jul
office13–10.016%17 Jul
shelter5–1-0.0317%11 Jul
vertigo13–70.0124%10 Jul
office13–11-0.0710%10 Jul
office2–13-0.079%8 Jul
cache13–10-0.0019%7 Jul
mirage16–140.0114%5 Jul
mirage13–80.068%5 Jul
inferno3–13-0.0613%5 Jul
ancient3–13-0.0519%1 Jul
ancient2–10-0.095%1 Jul
nuke4–13-0.0217%1 Jul
vertigo13–60.028%30 Jun
office12–12-0.015%30 Jun
vertigo6–13-0.1111%30 Jun
nuke13–160.0111%27 Jun
nuke6–13-0.027%23 Jun
dust211–130.017%23 Jun
mirage10–13-0.0020%2 Jun
inferno13–11-0.025%1 Jun
inferno13–11-0.005%29 May
ancient1–13-0.0116%29 May
inferno13–6-0.039%29 May
mirage13–110.0626%28 May
mirage13–90.067%27 May
anubis6–130.079%27 May
ancient13–4-0.0217%25 May
vertigo7–13-0.0823%24 May
office3–13-0.0819%24 May
dust211–130.0216%19 May
mirage2–13-0.0512%19 May
overpass6–130.0310%19 May
dust213–50.0217%18 May
inferno10–13-0.0412%18 May
nuke6–13-0.0610%18 May
mirage2–13-0.0922%18 May

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 →