Stupid

Stupid — CS2 Stats

AU76561198100410456[U:1:140144728]Steam profile ↗

245Tracked matches41%Win rate2023Tracked since
403Hours in CS2Hrs last 2 wks
CSDB Rating3.6 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate42.4%42.1%42.1%meets
Shot accuracy7.7%12.9%12.1%4.4% short
Kill/death ratio0.941.000.990.05 short
Match win rate35.8%42.9%43.9%8.1% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGStupidFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim32
Positioning46
Utility47

0–100 skill scores via Leetify.

Recent form

COLD37567Last 10037%Win rateLLLWWLWLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim3.2
Aggression7.1
Utility4.7
Positioning4.6
Opening Duels2.6

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

ropz

Plays most like ropz 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 52% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.2
Positioning4.6
Utility4.7
Mechanics3.4
Opening Duels2.8
Win Impact1.9

Composite 3.6/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time606ms+10ms
first ⅓ avg 596ms → last ⅓ avg 606ms
Headshot accuracy17.0%−1.3%
first ⅓ avg 18.3% → last ⅓ avg 17.0%

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

0.19Best rating — ancient 3–3
131Biggest win — overpass
4Longest win streak
L3Current streak
56In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 50% over 8dust2Weakest map · 30% over 33
MapGradePlayedRecordWin rateAvg rating
dust2D33102330%-0.01
mirageC1871139%-0.01
infernoB115645%-0.01
nukeC114736%-0.02
ancientB84450%0.02
vertigoC73443%-0.05
trainC52340%-0.02
overpass32167%0.02
anubis2020%-0.03
italy1010%-0.07
palais1010%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,052Lifetime kills
0.94K/D
771Matches
35.8%Match win rate
42.4%Headshot % · Top 50% of Level 2 players
7.7%Shot accuracy
1,018MVPs
237Hours (in match)
252Bombs planted
130Bombs defused

Most-used weapons

Lifetime map wins

2,218dust2
493inferno
370nuke
165vertigo
80train
36office
19italy
15cbble

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

Skill profile

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

16.8%Headshot accuracy
27.0%Accuracy (enemy spotted)
24.6%Spray accuracy
65.3%Counter-strafing
10.1°Preaim
608msReaction time
28.6%T opening success
52.2%CT opening success
0.66Enemies flashed / flash
6.6%Flash assists
6.34HE damage / grenade
6.98Flashes / 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. 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 28.6016% — 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.

30% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0314%19 Aug
dust214–16-0.0421%19 Aug
mirage5–13-0.0524%11 May
inferno13–5-0.049%17 Feb
dust213–7-0.0022%17 Feb
nuke13–16-0.018%30 Dec
nuke13–110.0117%24 Dec
mirage3–13-0.0514%16 Dec
nuke11–13-0.0429%15 Dec
ancient13–160.009%4 Dec
inferno12–120.0115%4 Dec
overpass7–13-0.0717%2 Dec
mirage9–130.0017%2 Dec
dust27–13-0.0615%1 Dec
nuke13–11-0.057%1 Dec
dust213–80.0122%1 Dec
overpass13–10.1118%1 Dec
mirage7–13-0.059%29 Nov
dust26–130.0019%23 Nov
vertigo4–11-0.0914%14 Nov
nuke13–80.0631%9 Nov
overpass9–00.0223%9 Nov
dust212–12-0.0535%9 Nov
nuke10–13-0.0217%21 Oct
dust213–80.0310%1 Sept
anubis12–12-0.0311%20 Aug
vertigo9–13-0.067%5 Aug
dust213–11-0.0218%5 Aug
inferno4–13-0.0120%5 Aug
ancient13–70.0120%4 Aug
mirage13–2-0.0014%4 Aug
mirage8–13-0.0521%4 Aug
mirage6–13-0.0517%4 Aug
dust213–90.0217%4 Aug
dust29–13-0.0713%4 Aug
nuke8–13-0.0427%4 Aug
inferno5–13-0.0127%17 Jun
dust28–13-0.0914%17 Jun
dust24–9-0.0243%7 Jun
train13–16-0.0216%4 Jun
dust26–130.0122%1 Jun
dust24–130.0312%23 May
nuke7–13-0.0421%19 Apr
anubis0–13-0.0316%17 Apr
dust24–13-0.0420%17 Apr
inferno11–130.059%15 Apr
ancient3–30.1918%13 Apr
mirage10–2-0.0033%13 Apr
inferno13–70.0216%12 Apr
dust210–130.0022%9 Apr
dust213–10-0.0019%29 Mar
dust26–130.0215%21 Mar
nuke8–13-0.0329%13 Mar
mirage13–100.0117%23 Feb
ancient13–70.0222%23 Feb
vertigo4–13-0.0428%22 Feb
mirage14–160.0120%17 Feb
dust25–13-0.0712%8 Feb
dust21–100.0214%2 Feb
nuke12–12-0.0512%24 Jan
dust25–13-0.0313%24 Jan
inferno13–30.0527%23 Jan
mirage8–13-0.0013%22 Jan
mirage12–120.0117%10 Jan
ancient13–70.0216%10 Jan
ancient13–6-0.017%10 Jan
ancient8–13-0.0418%8 Jan
dust22–13-0.0315%7 Jan
dust212–120.0021%5 Jan
dust213–20.0719%4 Jan
train13–110.0516%4 Jan
nuke13–30.0123%4 Jan
inferno13–5-0.0515%3 Jan
italy5–13-0.0717%3 Jan
mirage13–40.0321%2 Jan
dust213–80.1017%2 Jan
mirage12–12-0.0116%1 Jan
vertigo7–13-0.0317%1 Jan
mirage13–6-0.0523%1 Jan
train3–130.0118%28 Dec
vertigo13–70.0014%26 Dec
dust26–13-0.0429%23 Dec
inferno13–4-0.0012%23 Dec
dust27–13-0.0018%23 Dec
mirage13–70.0224%23 Dec
ancient3–13-0.0222%20 Dec
train6–5-0.050%17 Dec
vertigo13–4-0.0942%15 Dec
dust213–4-0.0112%15 Dec
mirage13–2-0.027%15 Dec
inferno10–13-0.0318%9 Dec
dust213–20.0521%9 Dec
dust27–13-0.0527%6 Dec
dust20–6-0.0714%1 Dec
inferno4–9-0.050%1 Dec
vertigo13–2-0.0725%29 Nov
train6–13-0.0915%27 Nov
palais7–9-0.0826%27 Nov
dust26–13-0.0719%27 Nov
mirage6–13-0.0123%18 Nov

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 →