5'3 Baddie with a Fatty

5'3 Baddie with a Fatty — CS2 Stats

US76561198928534577[U:1:968268849]Steam profile ↗✓ No bans

4,829Tracked matches48%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+151Tracked matches · now 4,829
+4.1ppWin rate · 44.0% → 48.1%

Rating over time

14Days played since 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim61
Positioning20
Utility73

0–100 skill scores via Leetify.

Recent form

COLD42–44–14Last 10042%Win rateLWLWTTLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.8pp headshot accuracy · −54ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 480ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 490ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 517ms

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: Support — Utility contribution stands above the rest of this profile (+4.2 against its own average).

Aim6.1
Utility7.3
Positioning2.0
Opening Duels0.0

Effective flashes

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 67% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; 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

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

Counter-strafing. Only 70% 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

Aim6.1
Positioning2.0
Utility7.3
Mechanics4.4
Opening Duels0.0
Win Impact4.4

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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time536ms+27ms
first ⅓ avg 510ms → last ⅓ avg 536ms
Headshot accuracy16.2%−0.5%
first ⅓ avg 16.7% → last ⅓ avg 16.2%

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.

Personal bests

0.19Best match rating · 13–1 · dust2, 25 Sept →
67%Best headshot accuracy · 9–13 · dust2, 3 Oct →
320msFastest reaction time · 11–13 · dust2, 7 Oct →
13–1Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–6In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 47% over 90cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B9042–4847%-0.01
cacheD50–50%-0.06
mirage—30–30%-0.03
ancient—20–20%-0.03

Across the last 100 tracked matches.

Skill profile

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

16.7%Headshot accuracy
31.1%Accuracy (enemy spotted)
39.7%Spray accuracy
69.7%Counter-strafing
10.5°Preaim
529msReaction time
15.5%T opening success
8.8%CT opening success
0.85Enemies flashed / flash
4.7%Flash assists
11.15HE damage / grenade
30.79Flashes / 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 15.5259% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0322%11 Oct →
dust213–11-0.0112%11 Oct →
dust28–13-0.0216%11 Oct →
dust213–8-0.0820%11 Oct →
dust212–12-0.0218%11 Oct →
dust212–12-0.0114%11 Oct →
dust26–13-0.0519%11 Oct →
dust213–10-0.0226%10 Oct →
cache1–13-0.080%10 Oct →
dust211–13-0.1010%10 Oct →
dust25–1-0.0714%10 Oct →
dust213–60.0228%10 Oct →
dust213–70.0029%10 Oct →
mirage7–13-0.0610%8 Oct →
ancient7–13-0.0514%8 Oct →
cache8–13-0.107%8 Oct →
dust213–10-0.0018%8 Oct →
dust213–6-0.049%8 Oct →
dust27–13-0.0129%8 Oct →
dust213–5-0.0317%8 Oct →
dust213–1-0.019%8 Oct →
dust210–130.0619%8 Oct →
dust211–13-0.088%8 Oct →
dust213–90.0629%8 Oct →
dust27–13-0.1021%7 Oct →
dust212–120.0318%7 Oct →
cache10–13-0.007%7 Oct →
dust213–10-0.0122%7 Oct →
dust29–20.0817%7 Oct →
dust21–13-0.0911%7 Oct →
dust212–12-0.0313%7 Oct →
dust213–10.0719%7 Oct →
dust29–13-0.0511%7 Oct →
dust213–7-0.0129%7 Oct →
dust28–130.0319%7 Oct →
dust213–80.0315%7 Oct →
dust213–4-0.0010%7 Oct →
dust211–13-0.0314%7 Oct →
dust24–130.0127%6 Oct →
dust26–13-0.0622%6 Oct →
dust29–13-0.0426%6 Oct →
dust213–7-0.0415%6 Oct →
dust212–12-0.0322%6 Oct →
dust212–120.0014%6 Oct →
dust213–90.0313%6 Oct →
dust213–7-0.0232%6 Oct →
dust213–80.0415%6 Oct →
dust213–50.0430%6 Oct →
dust26–13-0.0117%5 Oct →
dust212–120.0413%5 Oct →
dust213–11-0.058%5 Oct →
dust213–11-0.0110%4 Oct →
dust212–12-0.0215%4 Oct →
dust210–13-0.0119%4 Oct →
dust212–12-0.0519%4 Oct →
dust21–8-0.080%4 Oct →
dust212–12-0.1011%4 Oct →
dust29–130.0767%3 Oct →
dust213–2-0.0118%3 Oct →
dust213–9-0.0126%3 Oct →
dust210–13-0.060%3 Oct →
dust213–6-0.0718%3 Oct →
dust213–9-0.0229%3 Oct →
dust213–40.0426%3 Oct →
dust212–12-0.0217%2 Oct →
dust29–13-0.0218%2 Oct →
dust29–130.0310%2 Oct →
dust213–20.028%26 Sept →
dust26–13-0.0710%26 Sept →
dust213–11-0.0420%26 Sept →
ancient11–13-0.018%26 Sept →
dust212–12-0.0611%26 Sept →
dust27–13-0.0414%26 Sept →
dust213–11-0.043%26 Sept →
dust26–13-0.108%26 Sept →
dust26–13-0.0515%26 Sept →
dust213–110.0013%26 Sept →
dust212–12-0.0418%26 Sept →
dust211–130.0027%26 Sept →
dust29–13-0.0021%25 Sept →
dust213–80.0116%25 Sept →
dust23–13-0.0217%25 Sept →
dust213–10.1912%25 Sept →
dust25–13-0.0511%25 Sept →
cache2–13-0.0726%22 Sept →
dust213–10-0.0623%22 Sept →
dust29–130.0122%22 Sept →
dust213–80.0122%22 Sept →
dust213–9-0.0122%21 Sept →
cache11–13-0.0610%21 Sept →
dust23–13-0.0016%21 Sept →
mirage3–13-0.0423%21 Sept →
dust29–13-0.0111%21 Sept →
dust213–110.0015%21 Sept →
dust213–50.0315%21 Sept →
dust213–70.0325%21 Sept →
dust28–130.0330%20 Sept →
dust213–8-0.0629%20 Sept →
mirage7–13-0.0018%20 Sept →
dust212–12-0.0316%20 Sept →

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 →

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