ScarletM33

ScarletM33 — CS2 Stats

76561198040871598[U:1:80605870]Steam profile ↗✓ No bans

60Tracked matches43%Win rate2022Tracked since
CSDB Rating4.8 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim87
Positioning26
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY24–30–5Last 5941%Win rateLLLWLLWLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.9pp headshot accuracy · −83ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 36%
  • Avg reaction 703ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 38%
  • Avg reaction 705ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 37%
  • Avg reaction 746ms

Newest first, from the last 59 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 against its own average).

Aim8.7
Utility2.1
Positioning2.6
Opening Duels0.0

Sharp aimer

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

b1t

Plays most like b1t 74% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 61 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 725ms 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

Aim8.7
Positioning2.6
Utility2.1
Mechanics7.4
Opening Duels0.0
Win Impact2.6

Composite 4.8/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time742ms+47ms
first ⅓ avg 695ms → last ⅓ avg 742ms
Headshot accuracy37.2%+0.1%
first ⅓ avg 37.1% → last ⅓ avg 37.2%

Rolling 5-match average across the last 59 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.34Best match rating · 3–0 · cache, 16 Aug →
67%Best headshot accuracy · 3–0 · cache, 16 Aug →
523msFastest reaction time · 13–7 · train, 17 Aug →
13–0Biggest win · anubis, 19 Aug →

Across the last 59 tracked matches.

Highlights

4Longest win streak
L3Current streak
2–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 80% over 5trainWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
trainD185–1328%0.02
dust2C156–940%0.02
cacheS54–180%0.08
anubisA53–260%0.02
nuke—32–167%-0.04
boulder—31–233%-0.00
ancient—30–30%-0.02
fachwerk—21–150%-0.03
vertigo—22–0100%0.03
mirage—10–10%0.01
shelter—10–10%-0.10
overpass—10–10%-0.08

Across the last 59 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.

36.6%Headshot accuracy
40.7%Accuracy (enemy spotted)
41.7%Spray accuracy
83.5%Counter-strafing
11.1°Preaim
725msReaction time
17.0%T opening success
19.5%CT opening success
0.21Enemies flashed / flash
0.5%Flash assists
3.27HE damage / grenade
5.43Flashes / 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 724.9638ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2068 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 16.9682% — below the 40% mark we flag

Spend your practice time on Train

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train2–13-0.0265%13 Sept →
train9–13-0.0629%7 Sept →
dust27–13-0.0647%6 Sept →
dust213–20.027%6 Sept →
nuke6–13-0.0732%6 Sept →
train10–130.0745%6 Sept →
nuke13–30.0142%6 Sept →
dust210–13-0.0438%21 Aug →
cache13–80.0642%21 Aug →
train13–100.0431%20 Aug →
dust210–13-0.0340%20 Aug →
anubis2–13-0.0242%19 Aug →
anubis13–00.0435%19 Aug →
boulder3–13-0.0127%18 Aug →
train8–130.0933%18 Aug →
dust29–20.0950%18 Aug →
dust25–13-0.0333%18 Aug →
train9–130.0745%18 Aug →
boulder8–130.0124%17 Aug →
train13–00.0539%17 Aug →
ancient9–13-0.0647%17 Aug →
dust213–20.0929%17 Aug →
train13–70.0633%17 Aug →
nuke13–4-0.0745%17 Aug →
fachwerk1–13-0.1220%16 Aug →
cache12–120.0038%16 Aug →
dust210–13-0.0135%16 Aug →
train13–9-0.0026%16 Aug →
train12–12-0.0339%16 Aug →
cache3–00.3467%16 Aug →
fachwerk13–00.0640%16 Aug →
train11–130.0131%15 Aug →
train2–4-0.0250%15 Aug →
vertigo13–40.0522%15 Aug →
anubis13–80.0516%15 Aug →
train13–110.0741%15 Aug →
dust213–00.0542%15 Aug →
mirage12–120.0146%15 Aug →
train4–13-0.0756%15 Aug →
ancient5–130.0251%15 Aug →
dust23–13-0.0130%15 Aug →
dust213–100.1136%15 Aug →
dust25–130.0333%14 Aug →
dust212–12-0.0239%14 Aug →
cache13–5-0.0541%13 Aug →
anubis11–130.0530%13 Aug →
cache8–60.0326%13 Aug →
train2–13-0.0130%13 Aug →
vertigo13–100.0130%12 Aug →
ancient10–13-0.0121%12 Aug →
train4–130.0233%12 Aug →
train12–120.0449%12 Aug →
boulder13–7-0.0145%12 Aug →
shelter3–13-0.1053%12 Aug →
anubis13–9-0.0425%12 Aug →
dust28–00.0560%12 Aug →
train11–13-0.0430%12 Aug →
overpass0–13-0.0844%19 Apr →
dust29–130.0648%19 Apr →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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