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ImSmoothBrained — CS2 Stats

76561198119331610[U:1:159065882]

803Tracked matches34%Win rate2024Tracked since
CSDB Rating2.6 LearningClutch Specialist
Premier CS Rating3,047Grey band · top ~87.1% of ranked players (population est.)
CSDB Leaderboard#17487 of 22490 tracked
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGImSmoothBrainedPREMIER3,047 · Grey bandcsdb.gg/stats

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Performance scores

Aim36
Positioning46
Utility8

0–100 skill scores via Leetify.

Recent form

COLD35–59–6Last 10035%Win rateLWLLWLLTLW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim3.6
Aggression1.9
Utility0.8
Positioning4.6
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable in 1v1s

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 65% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 716ms 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

Aim3.6
Positioning4.6
Utility0.8
Mechanics5.0
Opening Duels0.0
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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time721ms+36ms
first ⅓ avg 685ms → last ⅓ avg 721ms
Headshot accuracy11.5%−3.7%
first ⅓ avg 15.2% → last ⅓ avg 11.5%

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 — dust2 13–1
13–1Biggest win — dust2
4Longest win streak
6–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 53% over 17ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.01
nukeB179–853%-0.03
cacheD155–1033%-0.04
mirageD153–1220%-0.05
infernoD113–827%-0.06
ancientD91–811%-0.04
anubisD82–625%-0.02
train—10–10%-0.04
overpass—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
33%Win rate
0.52Avg K/D
58.6ADR
23%Headshot %

Clutches & streaks

100%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Cache30%0.7212.0
Anubis1100%0.478.0
Mirage10%0.356.0

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.

11.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.9%Spray accuracy
72.4%Counter-strafing
10.9°Preaim
716msReaction time
19.8%T opening success
26.8%CT opening success
0.07Enemies flashed / flash
1.5%Flash assists
4.23HE damage / grenade
0.19Flashes / 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 11.535% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 716.1066ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0742 — below the 0.5 mark we flag

    Grenade Lineups →
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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.105%31 Jul →
nuke13–9-0.0216%31 Jul →
dust24–13-0.118%31 Jul →
cache13–16-0.0515%31 Jul →
dust213–60.0814%31 Jul →
mirage8–13-0.005%30 Jul →
ancient9–13-0.039%30 Jul →
anubis15–150.0915%30 Jul →
nuke7–130.0311%30 Jul →
nuke13–6-0.019%30 Jul →
ancient10–130.0415%30 Jul →
dust213–50.0513%30 Jul →
anubis13–6-0.0516%30 Jul →
mirage11–13-0.0512%30 Jul →
dust213–30.0813%30 Jul →
nuke9–13-0.0312%30 Jul →
ancient4–13-0.0711%30 Jul →
dust213–5-0.038%30 Jul →
cache13–10-0.043%30 Jul →
dust26–13-0.0613%30 Jul →
inferno10–13-0.0114%30 Jul →
mirage4–13-0.0610%29 Jul →
dust213–8-0.059%29 Jul →
ancient14–16-0.0213%29 Jul →
dust210–130.0020%28 Jul →
mirage6–13-0.0317%28 Jul →
nuke10–13-0.0310%28 Jul →
mirage13–10-0.127%28 Jul →
inferno9–13-0.0914%28 Jul →
anubis7–13-0.108%28 Jul →
nuke13–9-0.0615%28 Jul →
cache13–10-0.0213%27 Jul →
mirage11–13-0.097%27 Jul →
dust213–16-0.0111%27 Jul →
dust21–13-0.126%27 Jul →
inferno11–13-0.0411%27 Jul →
mirage2–13-0.0510%27 Jul →
dust211–13-0.0310%27 Jul →
dust216–130.0015%27 Jul →
nuke4–13-0.0526%19 Jul →
dust25–130.0312%19 Jul →
nuke7–00.0317%19 Jul →
mirage9–13-0.1322%19 Jul →
nuke11–130.0412%19 Jul →
cache10–13-0.1020%19 Jul →
ancient16–14-0.078%19 Jul →
anubis15–15-0.013%19 Jul →
mirage13–11-0.0611%19 Jul →
ancient3–13-0.0915%18 Jul →
cache9–13-0.0117%18 Jul →
inferno4–13-0.0216%18 Jul →
cache5–13-0.0024%18 Jul →
nuke13–10-0.087%18 Jul →
cache4–13-0.007%18 Jul →
ancient10–13-0.053%18 Jul →
cache16–140.0010%18 Jul →
dust213–5-0.0513%18 Jul →
nuke8–13-0.0316%18 Jul →
cache10–13-0.0310%18 Jul →
nuke5–13-0.117%18 Jul →
inferno13–50.0013%18 Jul →
inferno13–11-0.0512%18 Jul →
cache13–10-0.0214%18 Jul →
train2–12-0.0410%11 Jul →
cache6–13-0.160%11 Jul →
cache13–10-0.047%11 Jul →
inferno9–6-0.1324%11 Jul →
inferno4–9-0.1212%11 Jul →
cache7–13-0.0533%11 Jul →
mirage6–13-0.0416%11 Jul →
nuke13–11-0.0513%11 Jul →
mirage5–13-0.0220%11 Jul →
nuke4–13-0.0719%11 Jul →
ancient4–13-0.027%11 Jul →
nuke16–12-0.068%11 Jul →
mirage15–15-0.059%11 Jul →
inferno9–13-0.079%11 Jul →
dust213–20.0920%11 Jul →
dust213–100.0118%11 Jul →
ancient15–15-0.0221%11 Jul →
cache8–130.0111%11 Jul →
dust211–130.0420%11 Jul →
inferno3–13-0.1024%11 Jul →
nuke13–8-0.0020%11 Jul →
mirage3–13-0.076%11 Jul →
anubis5–13-0.016%11 Jul →
dust212–16-0.0110%11 Jul →
inferno11–13-0.0119%11 Jul →
dust211–13-0.0710%11 Jul →
mirage6–13-0.0614%4 Jul →
dust215–150.0527%4 Jul →
anubis9–130.0011%4 Jul →
dust213–50.1015%4 Jul →
nuke13–20.0817%4 Jul →
dust213–10.116%4 Jul →
mirage13–70.0013%4 Jul →
cache12–12-0.0121%4 Jul →
overpass8–130.0124%3 Jul →
anubis16–140.0312%3 Jul →
dust213–60.0313%3 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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