LOLsmileyfaces

LOLsmileyfaces — CS2 Stats

76561198129111336[U:1:168845608]Steam profile ↗

139Tracked matches48%Win rate2025Tracked since
387Hours in CS11Hrs last 2 wks
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating11,176Blue band · top ~48.7% of ranked players (population est.)
CSDB Leaderboard#22642 of 31857 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate42.5%42.1%42.5%meets
Shot accuracy13.4%12.1%10.9%above
Kill/death ratio0.920.990.990.07 short
Match win rate49.1%43.9%44.2%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLOLsmileyfacesFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,176 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning33
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY43516Last 10043%Win rateLLTLWWLWLW

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

Player DNA

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

Aim7.3
Aggression1.3
Utility2.5
Positioning3.3
Opening Duels0.0
Clutch6.0

Excellent counter-strafingStrong CT-side openerLimited utility dependence

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 72% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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 40 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 39% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.3
Positioning3.3
Utility2.5
Mechanics8.6
Opening Duels1.1
Win Impact4.4

Composite 4.8/10 (Developing), 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-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time602ms−60ms
first ⅓ avg 662ms → last ⅓ avg 602ms
Headshot accuracy25.8%+2.8%
first ⅓ avg 23.0% → last ⅓ avg 25.8%

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

0.20Best rating — mirage 13–1
131Biggest win — mirage
4Longest win streak
L2Current streak
108In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 52% over 21infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2491538%-0.03
mirageB21111052%-0.01
nukeC125742%-0.03
infernoD113827%-0.04
ancientB84450%-0.03
cacheC73443%-0.04
trainC52340%-0.06
anubis41325%-0.02
vertigo31233%-0.07
overpass220100%-0.04
shelter1010%0.05
office110100%0.04
alpine110100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,073Lifetime kills
0.92K/D
639Matches
49.1%Match win rate · Top 25% of Level 3 players
42.5%Headshot % · Top 50% of Level 3 players
13.4%Shot accuracy · Top 50% of Level 3 players
1,432MVPs
237Hours (in match)
274Bombs planted
93Bombs defused

Most-used weapons

Lifetime map wins

1,054dust2
734inferno
346nuke
181train
154bank
131lake
116cbble
76safehouse

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

Faceit stats

Combat

18Matches
28%Win rate
0.91Avg K/D
70.9ADR
57%Headshot %

Clutches & streaks

50%1v1 clutch win
7%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.7411.5
Dust2333%0.6210.7
Inferno30%0.7214.0
Train333%0.9921.0
Nuke250%1.1412.0

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.

25.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
29.9%Spray accuracy
88.5%Counter-strafing
10.2°Preaim
600msReaction time
19.9%T opening success
38.6%CT opening success
0.63Enemies flashed / flash
4.0%Flash assists
7.29HE damage / grenade
1.75Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.7546 — below the 4 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 19.9076% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0320%27 Aug
dust23–13-0.1357%27 Aug
shelter12–120.0529%26 Aug
dust211–13-0.1024%26 Aug
dust213–10-0.0316%23 Aug
mirage13–60.0932%23 Aug
mirage7–13-0.0821%21 Aug
nuke13–11-0.0432%21 Aug
cache10–130.0223%21 Aug
dust213–30.1137%21 Aug
mirage13–10-0.0122%20 Aug
mirage13–70.0324%16 Aug
nuke14–160.0219%16 Aug
dust211–13-0.0419%16 Aug
ancient9–13-0.0822%16 Aug
inferno11–130.0012%6 Aug
cache13–10-0.0617%6 Aug
dust29–13-0.0561%6 Aug
inferno13–5-0.0348%6 Aug
mirage13–11-0.0916%30 Jul
inferno4–13-0.0654%30 Jul
cache13–7-0.0435%30 Jul
inferno5–13-0.1012%29 Jul
mirage13–100.0338%29 Jul
mirage13–6-0.0616%28 Jul
dust213–90.0120%28 Jul
cache12–16-0.0811%28 Jul
cache13–100.0018%28 Jul
cache11–13-0.0720%27 Jul
cache4–11-0.0723%27 Jul
mirage13–110.0214%27 Jul
mirage7–130.0119%27 Jul
dust25–13-0.0622%27 Jul
ancient2–13-0.0911%20 Jun
overpass13–8-0.0120%19 Jun
dust213–30.0014%19 Jun
dust211–130.0020%18 Jun
nuke5–13-0.0314%18 Jun
mirage6–13-0.069%18 Jun
mirage5–13-0.0522%18 Jun
mirage10–13-0.0324%17 Jun
overpass13–6-0.0720%17 Jun
nuke7–13-0.0227%17 Jun
dust213–40.0321%17 Jun
anubis13–80.0029%17 Jun
mirage13–70.1020%17 Jun
dust25–13-0.0733%4 May
anubis10–130.0122%4 May
dust23–13-0.0743%27 Apr
dust29–13-0.0716%27 Apr
inferno13–16-0.0811%23 Apr
inferno13–110.0113%15 Apr
dust28–13-0.0121%15 Apr
dust27–20.0617%13 Apr
mirage11–13-0.0519%13 Apr
nuke9–13-0.0311%12 Apr
office13–100.0420%12 Apr
dust213–80.0221%12 Apr
nuke13–11-0.0342%1 Apr
vertigo13–11-0.0624%1 Apr
train10–13-0.0671%1 Apr
inferno7–13-0.0923%1 Apr
alpine13–10-0.0744%23 Mar
nuke13–10-0.0638%23 Mar
mirage13–7-0.0520%23 Mar
mirage6–13-0.0626%10 Aug
dust24–13-0.0044%18 Jul
mirage7–13-0.0327%15 Jul
dust210–13-0.0420%12 Jul
nuke2–13-0.056%22 May
nuke11–130.0024%19 May
ancient3–13-0.0630%17 Apr
anubis2–9-0.0433%17 Apr
train6–13-0.1147%16 Apr
mirage13–9-0.0517%16 Apr
dust20–13-0.136%16 Apr
inferno13–40.0559%16 Apr
mirage9–13-0.0424%14 Apr
ancient13–11-0.0820%14 Apr
dust213–11-0.0813%14 Apr
dust212–12-0.0120%4 Apr
inferno12–12-0.0739%4 Apr
inferno8–13-0.0715%3 Apr
ancient13–40.0143%3 Apr
train13–11-0.0640%3 Apr
vertigo3–13-0.0725%3 Apr
train13–11-0.0739%28 Mar
inferno9–13-0.0229%28 Mar
nuke13–6-0.020%28 Mar
ancient12–12-0.0712%28 Mar
anubis6–13-0.0520%28 Mar
vertigo6–13-0.0818%28 Mar
mirage13–10.2016%28 Mar
dust212–12-0.0312%28 Mar
train12–12-0.0118%26 Mar
mirage6–13-0.0624%25 Mar
nuke13–7-0.0724%25 Mar
dust213–7-0.015%25 Mar
ancient13–20.0915%24 Mar
ancient13–9-0.0221%24 Mar

Match data via Leetify.

Recent teammates

Milestones

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