Crying Fat Ugly Wierdo

Crying Fat Ugly Wierdo — CS2 Stats

76561198431034116[U:1:470768388]Steam profile ↗✓ No bans

183Tracked matches57%Win rate2021Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating12,000Blue band · top ~44.3% of ranked players (population est.)
CSDB Leaderboard#24725 of 35696 tracked
Ladder ranks via Leetify

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CSDB.GGCrying Fat Ugly WierdoPREMIER12,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning56
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLWWWWWLWLL

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

Player DNA

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

Aim6.2
Aggression7.5
Utility3.8
Positioning5.6
Opening Duels3.6

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 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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. 709ms 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

Aim6.2
Positioning5.6
Utility3.8
Mechanics8.1
Opening Duels3.6
Win Impact7.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time707ms−22ms
first ⅓ avg 729ms → last ⅓ avg 707ms
Headshot accuracy22.2%−2.0%
first ⅓ avg 24.2% → last ⅓ avg 22.2%

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

0.11Best rating — nuke 13–1
130Biggest win — mirage
5Longest win streak
66In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 60% over 20infernoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%-0.00
mirageA2012860%0.01
nukeB168850%-0.00
ancientB147750%0.01
infernoD6060%-0.03
cacheC52340%-0.01
anubisC52340%0.02
overpassC52340%-0.03
vertigo2020%-0.00
warden110100%-0.00
agency1010%0.11
office110100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 6). 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.

23.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.7%Spray accuracy
86.5%Counter-strafing
10.4°Preaim
709msReaction time
44.6%T opening success
44.2%CT opening success
0.57Enemies flashed / flash
8.3%Flash assists
9.51HE damage / grenade
5.63Flashes / 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 709.2429ms — above the 700ms mark we flag

    Aim Training
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0224%24 Aug
mirage13–9-0.0124%24 Aug
nuke5–3-0.0422%24 Aug
nuke13–110.0140%24 Aug
cache13–90.0225%23 Aug
mirage13–100.0122%23 Aug
mirage6–13-0.0219%23 Aug
mirage13–70.0517%23 Aug
nuke5–13-0.0523%23 Aug
nuke4–13-0.0426%19 Aug
dust26–3-0.0618%19 Aug
dust213–70.0217%26 Jul
cache13–70.0318%26 Jul
mirage6–13-0.0325%26 Jul
dust28–13-0.0316%25 Jul
dust213–60.0319%25 Jul
nuke9–13-0.0333%19 Jul
ancient13–110.0322%19 Jul
ancient13–7-0.0119%19 Jul
mirage13–00.0512%19 Jul
cache11–13-0.0320%19 Jul
cache5–13-0.0331%19 Jul
dust21–13-0.0031%19 Jul
nuke11–130.0326%15 Jul
ancient13–10.0323%15 Jul
mirage7–4-0.0213%14 Jul
nuke13–30.0217%14 Jul
dust211–13-0.0215%14 Jul
inferno4–13-0.0130%14 Jul
ancient13–80.0533%14 Jul
dust213–90.0518%4 Jun
anubis7–130.0521%30 May
ancient13–70.0915%30 May
nuke13–30.0522%25 May
dust211–13-0.0125%25 May
mirage16–130.0727%11 May
nuke13–9-0.0420%11 May
ancient6–13-0.0816%11 May
inferno5–13-0.0313%9 May
mirage9–130.0318%9 May
anubis4–130.0020%9 May
overpass4–13-0.0713%9 May
dust213–9-0.0518%9 May
ancient7–13-0.0420%9 May
mirage13–00.0115%9 May
ancient7–13-0.0117%3 May
dust26–13-0.0419%3 May
inferno3–13-0.0510%3 May
dust25–130.0418%3 May
anubis5–13-0.0320%3 May
overpass7–13-0.1138%3 May
nuke8–13-0.0636%3 May
ancient15–150.0119%3 May
nuke11–13-0.0416%27 Apr
mirage1–13-0.049%27 Apr
nuke13–10.1119%27 Apr
overpass4–13-0.0420%26 Apr
dust213–3-0.0121%26 Apr
nuke13–00.0918%26 Apr
ancient13–50.0818%26 Apr
anubis13–10.0416%26 Apr
mirage13–40.0418%26 Apr
dust210–130.0316%26 Apr
overpass13–4-0.0129%26 Apr
mirage13–11-0.0415%26 Apr
mirage13–100.0216%26 Apr
nuke5–13-0.0232%22 Apr
mirage3–13-0.0022%22 Apr
mirage11–130.0322%22 Apr
inferno4–13-0.0415%22 Apr
dust20–3-0.0617%22 Apr
mirage13–10-0.0218%19 Apr
dust25–11-0.0420%19 Apr
vertigo0–6-0.0733%19 Apr
dust210–130.0421%18 Apr
ancient8–130.0423%18 Apr
warden13–11-0.0024%18 Apr
dust213–80.0314%18 Apr
dust22–13-0.0729%18 Apr
anubis13–80.0417%18 Apr
inferno0–9-0.0325%18 Apr
mirage13–20.0342%18 Apr
nuke13–10-0.0322%16 Apr
vertigo9–130.0735%15 Nov
agency9–130.1151%15 Nov
dust27–130.0718%15 Nov
office13–10-0.0220%15 Nov
mirage6–13-0.0526%12 Nov
inferno12–12-0.0521%11 Nov
overpass13–30.0728%7 Nov
ancient15–15-0.0514%7 Nov
dust215–15-0.0324%6 Nov
dust25–50.0450%27 Jun
ancient10–13-0.0610%27 Jun
ancient13–90.0017%21 Jun
dust23–13-0.0541%19 Jun
mirage6–130.0616%3 Jun
dust213–90.0224%2 Jun
nuke3–13-0.0315%2 Jun
dust213–80.0327%31 Mar

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 →