kid

kid — CS2 Stats

BR76561198398492747[U:1:438227019]Steam profile ↗

1,162Tracked matches53%Win rate2020Tracked since
2,360Hours in CS9Hrs last 2 wks
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating15,886Purple band · top ~24.9% of ranked players (population est.)
CSDB Leaderboard#14066 of 23154 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 rate54.1%42.1%42.5%above
Shot accuracy14.9%12.1%10.9%above
Kill/death ratio0.940.990.990.05 short
Match win rate39.6%43.9%44.2%4.6% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGkidFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,886 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning40
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48502Last 10048%Win rateWLLWWLWLLW

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

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

Aim8.1
Aggression5.0
Utility4.6
Positioning4.0
Opening Duels1.4
Clutch2.6

Excellent counter-strafingStrong CT-side opener

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 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning4.0
Utility4.6
Mechanics9.4
Opening Duels1.8
Win Impact6.1

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time722ms−9ms
first ⅓ avg 731ms → last ⅓ avg 722ms
Headshot accuracy34.2%−2.1%
first ⅓ avg 36.2% → last ⅓ avg 34.2%

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

0.15Best rating — mirage 9–1
133Biggest win — dust2
4Longest win streak
1113In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 71% over 7trainWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC2391439%-0.00
dust2B179853%-0.01
nukeC156940%-0.01
ancientA138562%0.01
trainD124833%-0.02
infernoA116555%-0.01
anubisS75271%-0.01
cache21150%-0.01

Across the last 100 tracked matches.

Lifetime stats

68,841Lifetime kills
0.94K/D
3,934Matches
39.6%Match win rate
54.1%Headshot % · Top 10% of Level 3 players
14.9%Shot accuracy · Top 50% of Level 3 players
8,945MVPs
1,342Hours (in match)
4,250Bombs planted
808Bombs defused

Most-used weapons

AK-4719,149
AWP10,067
SSG 081,566
P2501,458
MP91,304

Lifetime map wins

9,438dust2
4,387inferno
1,775nuke
1,295vertigo
1,168train
917cbble
388office
194lake

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

Faceit stats

Combat

383Matches
49%Win rate
0.99Avg K/D
68.1ADR
48%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%0.9915.0
Dust2757%1.0113.1
Inferno667%0.8013.0
Ancient540%0.8512.2
Nuke425%0.8915.0
Anubis425%0.9214.5
Vertigo1100%1.1023.0

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.

32.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.8%Spray accuracy
92.3%Counter-strafing
10.1°Preaim
712msReaction time
26.0%T opening success
44.8%CT opening success
0.62Enemies flashed / flash
6.0%Flash assists
6.76HE damage / grenade
12.51Flashes / 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 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 711.7164ms — above the 700ms 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 26.0455% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–110.0416%26 Aug
anubis5–9-0.0429%26 Aug
inferno11–13-0.0617%20 Aug
nuke4–00.04100%19 Aug
ancient13–70.0924%13 Aug
mirage9–13-0.0128%13 Aug
dust213–30.0437%13 Aug
ancient6–13-0.0239%12 Aug
anubis11–130.0028%12 Aug
mirage13–90.0215%12 Aug
inferno1–13-0.0830%12 Aug
dust211–13-0.0725%11 Aug
dust212–16-0.0219%7 Aug
ancient13–10-0.0328%7 Aug
anubis13–50.0123%5 Aug
cache11–13-0.0528%5 Aug
ancient13–80.0127%5 Aug
anubis13–8-0.0710%4 Aug
nuke13–90.0046%4 Aug
cache13–110.0349%4 Aug
ancient7–130.0331%3 Aug
nuke6–130.0530%21 Jun
train13–9-0.0663%20 Jun
nuke3–13-0.0750%17 Jun
dust213–70.0754%16 Jun
train10–13-0.0041%15 Jun
mirage16–14-0.0327%15 Jun
ancient13–90.0356%10 Jun
ancient2–13-0.0626%9 Jun
anubis13–10-0.0841%6 Jun
inferno13–70.0619%6 Jun
nuke11–13-0.0227%4 Jun
anubis13–110.0144%3 Jun
ancient5–13-0.0336%3 Jun
nuke9–13-0.0217%2 Jun
train9–13-0.0455%1 Jun
dust26–130.0242%31 May
ancient13–7-0.0140%30 May
mirage16–13-0.0128%30 May
mirage13–10-0.0539%30 May
mirage11–130.0438%29 May
nuke13–100.0229%28 May
inferno11–130.0548%26 May
mirage12–16-0.0223%25 May
mirage13–30.0128%25 May
mirage11–13-0.0430%25 May
dust25–130.0128%25 May
train4–13-0.0348%24 May
dust213–6-0.0732%23 May
mirage13–8-0.0313%23 May
dust213–30.0433%23 May
dust27–13-0.0538%23 May
ancient13–110.0430%23 May
inferno7–9-0.0437%20 May
ancient13–110.0228%19 May
ancient13–90.0233%15 May
anubis13–80.1033%14 May
mirage7–13-0.0239%6 May
mirage15–150.0252%5 May
train13–80.0134%5 May
nuke5–11-0.0248%3 May
inferno6–13-0.0625%30 Apr
nuke13–11-0.0526%22 Apr
dust24–13-0.0340%21 Apr
nuke13–9-0.0129%20 Apr
nuke11–130.0440%11 Apr
dust214–160.0522%10 Apr
mirage6–130.0541%10 Apr
mirage13–16-0.0116%8 Apr
mirage9–13-0.0329%8 Apr
inferno13–11-0.0421%8 Apr
inferno13–10-0.0150%6 Mar
dust213–4-0.0838%6 Mar
dust24–13-0.0931%27 Feb
mirage9–10.1536%24 Feb
mirage5–13-0.0628%24 Feb
mirage13–110.0530%23 Feb
mirage11–13-0.0529%22 Feb
train8–130.0233%21 Feb
nuke9–130.0136%20 Feb
ancient8–130.0447%19 Feb
train0–13-0.0760%15 Feb
train13–5-0.0332%9 Feb
inferno13–70.0735%7 Feb
nuke13–10-0.0423%6 Feb
train13–100.0440%6 Feb
train10–13-0.0241%5 Feb
nuke2–13-0.0180%4 Feb
dust213–100.0131%4 Feb
train12–120.0168%4 Feb
mirage7–130.0150%3 Feb
mirage7–13-0.0323%3 Feb
train9–13-0.0242%3 Feb
inferno13–9-0.0528%2 Feb
dust216–13-0.0233%26 Jan
nuke7–13-0.0444%25 Jan
mirage13–3-0.0026%25 Jan
mirage14–16-0.0334%24 Jan
dust213–11-0.0419%18 Jan
inferno13–11-0.0023%16 Jan

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 →