Smooth — CS2 Stats

76561198088870599[U:1:128604871]

292Tracked matches30%Win rate2020Tracked since
CSDB Rating2.1 Learning
Premier CS Rating1,995Grey band · top ~91.5% of ranked players (population est.)
CSDB Leaderboard#17929 of 22969 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGSmoothFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER1,995 · Grey bandcsdb.gg/stats

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Performance scores

Aim18
Positioning50
Utility11

0–100 skill scores via Leetify.

Recent form

COLD32662Last 10032%Win rateLLWLLLWWLL

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

Player DNA

Aim1.8
Aggression6.0
Utility1.1
Positioning5.0
Opening Duels1.9

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 70% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 713ms 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

Aim1.8
Positioning5.0
Utility1.1
Mechanics3.2
Opening Duels1.9
Win Impact0.0

Composite 2.1/10 (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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time725ms+11ms
first ⅓ avg 714ms → last ⅓ avg 725ms
Headshot accuracy7.8%+1.1%
first ⅓ avg 6.8% → last ⅓ avg 7.8%

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

0.08Best rating — nuke 3–2
132Biggest win — dust2
6Longest win streak
L2Current streak
411In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 45% over 33infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B33151845%-0.01
cacheD1551033%-0.06
nukeD1441029%-0.04
infernoD1221017%-0.09
mirageD113827%-0.04
anubisD72529%-0.03
ancientD51420%-0.03
office2020%-0.07
poseidon1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.9%Headshot accuracy
29.6%Accuracy (enemy spotted)
27.4%Spray accuracy
64.4%Counter-strafing
11.0°Preaim
713msReaction time
31.6%T opening success
44.0%CT opening success
0.23Enemies flashed / flash
0.0%Flash assists
9.40HE damage / grenade
0.38Flashes / 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 8.8989% — 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 712.9426ms — 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 0.2273 — below the 0.5 mark we flag

    Grenade Lineups
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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0815%29 Aug
ancient4–13-0.086%29 Aug
mirage13–3-0.047%29 Aug
mirage5–13-0.0714%27 Aug
inferno10–13-0.093%23 Aug
cache7–13-0.039%22 Aug
dust213–2-0.059%22 Aug
dust213–30.0413%17 Aug
inferno7–13-0.074%17 Aug
dust29–13-0.0211%15 Aug
dust211–13-0.037%14 Aug
dust28–13-0.076%12 Aug
dust23–13-0.0510%9 Aug
nuke16–13-0.0012%9 Aug
dust213–10-0.017%9 Aug
dust216–13-0.0418%9 Aug
nuke13–9-0.0010%9 Aug
nuke11–13-0.0414%8 Aug
anubis10–13-0.0513%8 Aug
nuke13–3-0.036%8 Aug
ancient13–7-0.0113%8 Aug
inferno10–13-0.032%8 Aug
nuke11–13-0.023%6 Aug
dust23–13-0.008%6 Aug
mirage14–160.033%6 Aug
dust211–130.019%5 Aug
anubis6–13-0.0313%5 Aug
inferno5–9-0.170%3 Aug
inferno0–9-0.186%3 Aug
inferno1–9-0.300%3 Aug
inferno9–60.020%3 Aug
dust27–13-0.090%2 Aug
dust26–13-0.0210%2 Aug
nuke7–130.0212%2 Aug
office4–13-0.093%2 Aug
mirage13–60.0116%2 Aug
dust213–60.014%2 Aug
dust213–50.076%2 Aug
mirage13–70.028%1 Aug
anubis13–9-0.0311%1 Aug
dust216–140.014%1 Aug
mirage14–16-0.074%1 Aug
dust211–13-0.019%1 Aug
cache7–13-0.065%1 Aug
cache4–13-0.119%31 Jul
ancient8–13-0.073%31 Jul
dust213–7-0.028%31 Jul
dust211–13-0.038%31 Jul
nuke5–13-0.079%30 Jul
dust26–13-0.054%30 Jul
dust213–90.029%30 Jul
mirage8–130.038%29 Jul
inferno13–7-0.038%29 Jul
cache11–13-0.045%29 Jul
dust213–30.0111%29 Jul
dust25–130.0011%28 Jul
dust213–20.0514%28 Jul
cache13–100.0410%28 Jul
dust213–70.0810%28 Jul
ancient8–130.016%25 Jul
nuke3–20.080%25 Jul
nuke9–40.030%25 Jul
dust25–130.0513%25 Jul
anubis13–9-0.068%24 Jul
mirage6–13-0.1014%23 Jul
dust28–13-0.032%23 Jul
dust210–13-0.0214%20 Jul
dust213–100.0412%20 Jul
nuke9–13-0.052%17 Jul
poseidon6–90.0110%13 Jul
inferno9–13-0.0315%12 Jul
dust213–100.0111%12 Jul
cache13–11-0.084%12 Jul
inferno10–130.003%12 Jul
ancient1–9-0.014%12 Jul
nuke5–13-0.125%10 Jul
nuke2–9-0.1418%8 Jul
inferno1–9-0.173%8 Jul
inferno7–9-0.028%8 Jul
anubis6–13-0.092%4 Jul
nuke4–13-0.160%4 Jul
cache13–3-0.0413%4 Jul
nuke13–16-0.003%7 Jun
cache3–13-0.028%6 Jun
dust29–13-0.079%6 Jun
dust213–11-0.0912%31 May
anubis1–13-0.023%30 May
cache3–13-0.020%30 May
dust24–13-0.095%30 May
cache3–13-0.083%30 May
mirage2–13-0.098%30 May
anubis15–150.033%24 May
mirage3–13-0.053%24 May
cache13–11-0.053%22 May
dust27–13-0.066%20 May
cache0–13-0.100%20 May
mirage5–13-0.0817%16 May
office12–12-0.0618%16 May
cache13–6-0.040%16 May
cache6–13-0.1113%16 May

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 →