Sm0kie

Sm0kie — CS2 Stats

US76561198087268799[U:1:127003071]Steam profile ↗✓ No bans

627Tracked matches34%Win rate2023Tracked since
846Hours in CS
CSDB Rating2.6 Learning
Premier CS Rating3,388Grey band · top ~85.6% of ranked players (population est.)
CSDB Leaderboard#21007 of 26949 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate30.2%42.1%42.1%11.9% short
Shot accuracy6.8%12.9%12.1%5.3% short
Kill/death ratio0.821.000.990.17 short
Match win rate38.2%42.9%43.9%5.7% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSm0kieFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,388 · Grey bandcsdb.gg/stats

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Performance scores

Aim15
Positioning49
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY40555Last 10040%Win rateWWWLLLWWLL

Last 10 vs previous 10: +50pp win rate · +0.05 avg rating

Player DNA

Aim1.5
Aggression6.0
Utility5.3
Positioning4.9
Opening Duels2.1
Clutch0.2

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: opening-duel success, utility contribution.

Where you differ: 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. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.5
Positioning4.9
Utility5.3
Mechanics3.2
Opening Duels2.1
Win Impact0.0

Composite 2.6/10 (Learning), 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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time668ms+13ms
first ⅓ avg 655ms → last ⅓ avg 668ms
Headshot accuracy10.8%−0.9%
first ⅓ avg 11.7% → last ⅓ avg 10.8%

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

0.11Best rating — inferno 13–8
131Biggest win — nuke
7Longest win streak
W3Current streak
99In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 50% over 22ancientWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoD2371630%-0.01
mirageB22111150%0.00
nukeB20101050%-0.00
ancientD1431121%-0.02
dust2C114736%-0.02
anubis32167%-0.02
overpass31233%0.01
train2020%0.01
stronghold110100%-0.04
vertigo110100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,665Lifetime kills
0.82K/D
2,578Matches
38.2%Match win rate
30.2%Headshot %
6.8%Shot accuracy
2,708MVPs
846Hours (in match)
1,914Bombs planted
567Bombs defused

Most-used weapons

AK-474,304
AWP1,584
FAMAS1,403
MP91,141
MAC-101,133
P2501,031

Lifetime map wins

4,395dust2
2,325nuke
1,615vertigo
1,457inferno
1,127office
408train
364assault
306cbble

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

Faceit stats

Combat

24Matches
25%Win rate
0.63Avg K/D
58.9ADR
37%Headshot %

Clutches & streaks

21%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.7311.7
Vertigo520%0.7912.4
Dust2520%0.274.4
Anubis425%0.668.8
Inferno333%0.7816.3
Ancient10%0.4211.0

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.

11.2%Headshot accuracy
28.0%Accuracy (enemy spotted)
27.9%Spray accuracy
64.2%Counter-strafing
13.6°Preaim
674msReaction time
31.2%T opening success
45.4%CT opening success
0.59Enemies flashed / flash
1.5%Flash assists
9.79HE damage / grenade
7.49Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.6137° — above the 12° mark we flag

    Aim Training
  2. 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 11.1652% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–110.0111%31 May
inferno13–80.1116%21 May
inferno13–110.028%20 May
inferno9–13-0.0312%20 May
inferno8–130.0210%13 May
nuke11–130.0716%12 May
dust213–7-0.0110%12 May
inferno10–10.0912%12 May
mirage11–130.0618%8 May
ancient11–13-0.0210%7 May
mirage7–130.025%7 May
nuke2–13-0.0416%6 May
inferno7–13-0.078%6 May
inferno14–16-0.0110%2 May
ancient2–13-0.064%2 May
inferno4–13-0.0111%1 May
mirage4–130.0411%30 Apr
mirage6–13-0.019%24 Apr
dust213–16-0.0311%24 Apr
inferno6–13-0.0319%16 Apr
ancient5–13-0.058%6 Apr
mirage9–13-0.0712%6 Apr
inferno13–80.019%1 Apr
nuke16–12-0.0420%25 Mar
nuke1–13-0.0421%25 Mar
anubis16–13-0.027%25 Mar
ancient15–150.007%19 Mar
ancient7–13-0.0410%18 Mar
nuke13–60.007%17 Mar
dust213–30.089%14 Mar
dust213–40.014%5 Mar
ancient5–13-0.027%5 Mar
mirage13–30.0310%5 Mar
mirage7–13-0.062%5 Mar
nuke14–16-0.0314%4 Mar
nuke7–13-0.0720%4 Mar
mirage6–13-0.054%4 Mar
mirage13–110.099%26 Feb
overpass6–130.019%25 Feb
dust214–16-0.043%25 Feb
inferno13–110.065%25 Feb
mirage7–13-0.016%25 Feb
ancient6–130.068%20 Feb
nuke13–4-0.0613%20 Feb
dust25–13-0.0316%20 Feb
inferno6–13-0.085%20 Feb
inferno13–8-0.0110%20 Feb
dust28–130.0113%19 Feb
ancient10–13-0.0111%18 Feb
inferno9–130.027%17 Feb
ancient6–13-0.0314%15 Feb
nuke5–13-0.0311%15 Feb
dust25–13-0.040%15 Feb
mirage13–70.0214%15 Feb
mirage9–13-0.069%14 Feb
nuke13–40.0611%14 Feb
mirage13–7-0.064%14 Feb
nuke13–60.024%14 Feb
inferno13–8-0.018%13 Feb
nuke13–10.0711%13 Feb
nuke10–00.0725%11 Feb
nuke13–20.056%11 Feb
inferno11–130.0211%10 Feb
ancient13–110.058%9 Feb
nuke10–13-0.058%8 Feb
inferno10–13-0.063%8 Feb
inferno7–13-0.0121%7 Feb
nuke10–13-0.0210%7 Feb
nuke6–13-0.0113%2 Feb
anubis13–9-0.034%2 Feb
mirage13–110.044%2 Feb
inferno15–15-0.045%1 Feb
dust213–8-0.0221%27 Jan
mirage13–10-0.002%26 Jan
mirage13–9-0.0313%26 Jan
stronghold13–11-0.044%25 Jan
overpass12–12-0.0524%25 Jan
mirage13–30.0718%24 Jan
anubis7–13-0.0018%22 Jan
ancient3–13-0.0512%10 Jan
mirage13–100.0120%28 Dec
mirage11–13-0.008%14 Dec
inferno6–130.0114%5 Dec
inferno1–13-0.0313%29 Nov
vertigo13–10-0.087%29 Nov
ancient7–130.0011%28 Nov
inferno10–13-0.0111%22 Nov
dust22–13-0.0417%22 Nov
dust22–13-0.0816%22 Nov
mirage11–13-0.0710%21 Nov
nuke15–15-0.037%19 Nov
nuke13–100.0614%17 Nov
ancient13–6-0.039%16 Nov
mirage13–20.0423%16 Nov
mirage13–80.0113%16 Nov
train4–13-0.028%16 Nov
inferno2–9-0.107%16 Nov
overpass13–110.0614%14 Nov
train15–150.038%14 Nov
ancient13–11-0.079%14 Nov

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →