The Great Chudster

The Great Chudster — CS2 Stats

76561198168490797[U:1:208225069]Steam profile ↗✓ No bans

352Tracked matches46%Win rate2025Tracked since
549Hours in CS19Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,135 -90 6 Apr – 9 Apr · 2 days played
11,13511,225peak 11,2256 Apr9 Apr
11,558Peak Premier in tracked matches
36Days played since 2026-04-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim66
Positioning71
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY41–46–13Last 10041%Win rateLWWLLWLLTW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +8.1pp headshot accuracy · −28ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 596ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim6.6
Utility5.6
Positioning7.1
Opening Duels4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 611ms 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

Aim6.6
Positioning7.1
Utility5.6
Mechanics7.9
Opening Duels6.2
Win Impact3.7

Composite 6.4/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time607ms−69ms
first ⅓ avg 676ms → last ⅓ avg 607ms
Headshot accuracy14.3%−1.2%
first ⅓ avg 15.5% → last ⅓ avg 14.3%

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.

Personal bests

0.12Best match rating · 8–13 · dust2, 8 Jul →
30%Best headshot accuracy · 13–1 · dust2, 27 Oct →
445msFastest reaction time · 13–7 · ancient, 16 Oct →
13–0Biggest win · anubis, 3 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–4In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 67% over 6cacheWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%0.02
mirageC187–1139%0.00
nukeB157–847%0.01
cacheD133–1023%-0.00
ancientD103–730%0.01
trainC94–544%0.01
infernoC83–538%0.00
anubisS64–267%0.03
office—11–0100%0.09
overpass—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

13,529Lifetime kills
1.06K/D · Top 50% of tracked players
806Matches
44.8%Match win rate
41.7%Headshot %
6.0%Shot accuracy
1,782MVPs
253Hours (in match)
644Bombs planted
97Bombs defused

Most-used weapons

Lifetime map wins

1,562dust2
854inferno
660nuke
431train
62lake
29vertigo
23office
13cbble

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.

14.4%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.0%Spray accuracy
85.5%Counter-strafing
10.7°Preaim
611msReaction time
64.5%T opening success
45.5%CT opening success
0.66Enemies flashed / flash
14.4%Flash assists
5.43HE damage / grenade
5.88Flashes / 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 14.4038% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0319%30 Oct →
dust213–50.0420%30 Oct →
nuke10–10.0412%27 Oct →
ancient5–130.0220%27 Oct →
mirage10–130.0624%27 Oct →
dust213–10.0830%27 Oct →
inferno7–130.1027%26 Oct →
ancient7–130.0723%21 Oct →
mirage12–120.0616%21 Oct →
inferno13–10-0.0513%21 Oct →
mirage7–13-0.0412%20 Oct →
dust25–13-0.068%20 Oct →
inferno1–13-0.045%20 Oct →
nuke13–70.0211%20 Oct →
nuke6–130.0317%20 Oct →
ancient13–90.014%19 Oct →
nuke12–12-0.0118%19 Oct →
cache13–100.0214%18 Oct →
train13–60.1119%18 Oct →
dust213–90.0315%18 Oct →
mirage13–6-0.027%18 Oct →
anubis3–13-0.0421%18 Oct →
inferno12–12-0.039%18 Oct →
inferno13–11-0.0116%16 Oct →
ancient13–70.1112%16 Oct →
dust27–13-0.018%16 Oct →
train12–12-0.0314%16 Oct →
cache9–130.0511%16 Oct →
mirage5–13-0.064%14 Oct →
dust25–13-0.026%14 Oct →
mirage13–10-0.0413%13 Oct →
cache10–130.0213%12 Oct →
dust213–40.0014%12 Oct →
train12–120.0511%12 Oct →
mirage6–130.0112%12 Oct →
cache13–5-0.0117%11 Oct →
cache2–60.0319%11 Oct →
train8–13-0.0311%11 Oct →
nuke5–13-0.0211%11 Oct →
office13–60.0915%10 Oct →
mirage13–100.1112%10 Oct →
mirage13–10-0.025%9 Oct →
nuke13–90.0312%9 Oct →
train3–13-0.0616%9 Oct →
dust25–13-0.0413%9 Oct →
dust213–70.0312%9 Oct →
train8–13-0.0512%8 Oct →
mirage10–4-0.0015%8 Oct →
train13–50.0311%8 Oct →
dust24–13-0.0217%8 Oct →
nuke12–12-0.0313%8 Oct →
dust213–100.0214%5 Oct →
nuke12–120.0311%5 Oct →
inferno7–9-0.0221%5 Oct →
ancient12–12-0.047%5 Oct →
mirage5–13-0.038%5 Oct →
cache5–13-0.0414%3 Oct →
nuke13–110.0615%3 Oct →
dust210–130.0013%3 Oct →
ancient9–130.0619%3 Oct →
cache11–13-0.0315%3 Oct →
inferno13–110.0321%2 Oct →
cache2–13-0.0220%2 Oct →
mirage9–130.0025%2 Oct →
nuke8–130.0417%1 Oct →
mirage12–120.009%1 Oct →
train13–50.0818%1 Oct →
dust28–130.0614%1 Oct →
cache9–13-0.0517%22 Aug →
dust28–130.1218%8 Jul →
cache13–80.0224%7 Jul →
inferno12–120.0211%7 Jul →
ancient3–13-0.0314%28 Jun →
nuke13–90.0427%7 Jun →
nuke7–13-0.0318%27 May →
mirage4–130.0116%26 May →
ancient13–1-0.0426%26 May →
cache12–12-0.0118%18 May →
train13–80.0415%18 May →
nuke12–12-0.0320%15 May →
dust212–12-0.0112%15 May →
cache9–13-0.0516%15 May →
overpass7–13-0.0314%13 May →
cache7–130.0321%13 May →
nuke13–60.0625%13 May →
ancient11–13-0.0113%28 Apr →
mirage13–70.0211%15 Apr →
anubis13–100.0611%15 Apr →
dust213–30.1010%15 Apr →
dust25–13-0.028%13 Apr →
mirage9–13-0.0417%9 Apr →
dust213–40.0112%9 Apr →
mirage11–130.0010%9 Apr →
nuke13–8-0.0620%6 Apr →
anubis9–130.069%6 Apr →
mirage13–20.0014%3 Apr →
anubis13–0-0.0023%3 Apr →
dust213–70.029%3 Apr →
anubis13–30.0313%2 Apr →
anubis13–10.067%2 Apr →

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 →

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