Stupid

Stupid — CS2 Stats

76561199548882706[U:1:1588616978]Steam profile ↗✓ No bans

168Tracked matches39%Win rate2025Tracked since
311Hours in CS1Hrs last 2 wks
CSDB Rating4.4 Developing
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim49
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

COLD52435Last 10052%Win rateWLTLLLLLWL

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

Player DNA

Aim4.9
Aggression5.1
Utility3.6
Positioning4.6
Opening Duels2.4
Clutch1.0

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 81% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 712ms 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

Aim4.9
Positioning4.6
Utility3.6
Mechanics7.3
Opening Duels2.4
Win Impact1.4

Composite 4.4/10 (Developing), 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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time698ms+19ms
first ⅓ avg 680ms → last ⅓ avg 698ms
Headshot accuracy16.0%−0.0%
first ⅓ avg 16.0% → last ⅓ avg 16.0%

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 — nuke 9–4
131Biggest win — dust2
9Longest win streak
85In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 67% over 12dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%-0.02
infernoD134931%-0.01
nukeB137654%0.01
dust2D1331023%-0.01
overpassS128467%0.00
ancientS96367%-0.00
anubisA74357%-0.04
cache42250%-0.06
vertigo32167%-0.05
train110100%-0.03
warden110100%0.06
poseidon110100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,877Lifetime kills
0.86K/D
490Matches
41.6%Match win rate
50.2%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
1,076MVPs
811Hours (in match)
352Bombs planted
109Bombs defused

Most-used weapons

Lifetime map wins

1,110inferno
490dust2
362nuke
122vertigo
44train
4ar_shoots
3ar_baggage
2office

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

Faceit stats

Combat

4Matches
50%Win rate
1.22Avg K/D
93.7ADR
49%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.9416.0
Dust210%0.5910.0
Inferno1100%1.2714.0
Ancient1100%2.0731.0

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.

15.2%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.9%Spray accuracy
83.0%Counter-strafing
11.2°Preaim
712msReaction time
29.7%T opening success
49.6%CT opening success
0.62Enemies flashed / flash
4.3%Flash assists
6.44HE damage / grenade
5.46Flashes / 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 711.6965ms — 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 29.6591% — below the 40% mark we flag

Spend your practice time on Dust 2

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0218%24 Aug
vertigo5–9-0.0917%19 Aug
inferno12–120.0214%10 Aug
nuke6–13-0.005%7 Aug
nuke5–13-0.039%5 Aug
ancient6–13-0.0816%3 Aug
mirage9–13-0.049%30 Jul
mirage9–13-0.0411%27 Jul
train13–3-0.037%25 Jul
inferno6–9-0.0819%24 Jul
mirage5–13-0.0318%22 Jul
inferno7–13-0.0226%22 Jul
mirage7–13-0.0635%17 Jul
mirage11–13-0.0412%17 Jul
anubis14–16-0.068%15 Jul
cache13–8-0.074%15 Jul
inferno9–30.0213%14 Jul
nuke9–40.1533%14 Jul
inferno5–9-0.0428%14 Jul
cache5–13-0.0721%14 Jul
nuke4–9-0.0519%13 Jul
cache8–13-0.094%9 Jul
mirage13–9-0.0816%25 Jun
dust210–13-0.049%25 Jun
inferno3–13-0.0416%20 Jun
nuke13–8-0.0421%13 Jun
mirage13–80.0121%11 Jun
mirage13–80.029%10 Jun
cache13–8-0.0311%7 Jun
mirage9–13-0.0627%17 May
dust210–13-0.108%17 May
mirage13–100.058%16 May
dust212–120.0634%13 Mar
mirage13–8-0.0213%12 Mar
dust24–13-0.0329%12 Mar
dust213–30.0821%11 Mar
mirage15–15-0.0117%11 Mar
overpass9–130.097%10 Mar
nuke7–13-0.0213%9 Mar
anubis8–13-0.0512%9 Mar
mirage13–100.0213%8 Mar
nuke10–13-0.0412%8 Mar
inferno13–20.0415%8 Mar
nuke13–60.1017%8 Mar
inferno6–90.0514%8 Mar
nuke13–11-0.059%7 Mar
mirage13–9-0.037%7 Mar
mirage0–4-0.048%6 Mar
overpass13–9-0.116%6 Mar
ancient11–13-0.067%5 Mar
inferno13–6-0.0711%4 Mar
mirage13–9-0.0620%4 Mar
ancient15–15-0.0018%19 Feb
anubis13–9-0.0619%19 Feb
warden13–40.0621%18 Feb
nuke16–140.0315%16 Feb
anubis15–15-0.0514%15 Feb
ancient13–110.0415%15 Feb
dust27–13-0.0514%15 Feb
poseidon9–60.0428%15 Feb
dust29–13-0.0016%13 Feb
nuke13–70.0210%13 Feb
dust25–13-0.098%11 Feb
overpass13–80.0420%11 Feb
nuke16–140.0517%10 Feb
overpass13–100.0619%8 Feb
mirage4–13-0.0623%8 Feb
overpass13–100.0515%8 Feb
inferno3–130.0423%8 Feb
inferno12–16-0.0110%6 Feb
dust211–130.0026%5 Feb
ancient13–100.0819%4 Feb
mirage13–80.0519%4 Feb
anubis13–20.0517%3 Feb
mirage13–110.0223%3 Feb
dust213–7-0.0110%2 Feb
anubis13–7-0.055%2 Feb
anubis13–10-0.0423%26 Jan
ancient13–7-0.0619%26 Jan
mirage13–8-0.0313%25 Jan
nuke5–130.0418%25 Jan
ancient13–4-0.0011%25 Jan
overpass13–10-0.0423%19 Jan
overpass11–130.0313%17 Jan
inferno13–8-0.0413%17 Jan
overpass13–6-0.0613%17 Jan
mirage13–30.0223%17 Jan
mirage7–13-0.0319%15 Jan
overpass10–13-0.018%14 Jan
vertigo9–7-0.0412%14 Jan
overpass9–2-0.0528%14 Jan
dust213–10.0917%13 Jan
dust28–130.048%13 Jan
overpass13–100.0617%12 Jan
dust28–13-0.0810%12 Jan
mirage13–10.0518%11 Jan
ancient13–80.0512%10 Jan
inferno4–13-0.0214%10 Jan
overpass4–9-0.0422%9 Jan
vertigo9–7-0.0310%9 Jan

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 →