Ms. Velvet ♡

Ms. Velvet ♡ — CS2 Stats

76561198065037133[U:1:104771405]Steam profile ↗✓ No bans

803Tracked matches41%Win rate2020Tracked since
CSDB Rating2.0 LearningClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 803 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 18 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,295 +201 29 Jul15 Dec · 12 days played
7,88311,028peak 11,02829 Jul15 Dec
11,028Peak Premier in tracked matches
1,016Highest Faceit ELO seen on CSDB
53Days played since 2025-07-18

Faceit ELO

  • At peak — 1,016
  • Next: Level 5 at 1,051 35 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-20
  • Level 3 first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGMs. Velvet ♡PEAK ELO1,016csdb.gg/stats

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Performance scores

Aim27
Positioning27
Utility6

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateTLLLWLTWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · +19ms 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

  • 131 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 644ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 688ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 679ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim2.7
Utility0.6
Positioning2.7
Opening Duels0.0
Clutch3.2

Limited utility dependence

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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.7
Positioning2.7
Utility0.6
Mechanics3.7
Opening Duels0.1
Win Impact1.9

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time658ms−89ms
first ⅓ avg 747ms → last ⅓ avg 658ms
Headshot accuracy12.3%+2.0%
first ⅓ avg 10.2% → last ⅓ avg 12.3%

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

0.06Best match rating · 13–6 · overpass, 24 Jul
28%Best headshot accuracy · 4–13 · inferno, 22 Mar
430msFastest reaction time · 12–12 · office, 15 Sept
13–2Biggest win · overpass, 1 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
1010In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 60% over 20infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2012860%-0.04
ancientA1710759%-0.04
mirageA159660%-0.04
officeD134931%-0.04
dust2B126650%-0.04
infernoD81713%-0.03
overpassC83538%-0.00
train31233%-0.06
anubis2020%-0.01
cache110100%-0.02
palacio1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

39Matches
51%Win rate
0.65Avg K/D
59.7ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
12%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1173%0.7012.0
Nuke944%0.7413.2
Dust2560%0.7512.2
Mirage450%0.468.3
Inferno333%0.5310.0
Overpass20%0.7412.5
Anubis20%0.254.5
Train1100%0.9325.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

12.4%Headshot accuracy
28.1%Accuracy (enemy spotted)
31.4%Spray accuracy
66.6%Counter-strafing
11.1°Preaim
657msReaction time
22.9%T opening success
30.5%CT opening success
0.03Enemies flashed / flash
3.2%Flash assists
2.02HE damage / grenade
0.17Flashes / 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 12.3672% — below the 15% 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 0.0318 — 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 22.8544% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office12–120.0125%15 Sept
dust24–13-0.0814%3 Sept
office8–130.0317%12 Jul
office11–13-0.0614%12 Jul
nuke16–13-0.0218%28 Jun
ancient6–13-0.0615%28 Jun
office12–12-0.090%23 Jun
nuke13–10-0.055%15 Jun
office9–13-0.070%3 May
cache13–3-0.020%3 May
mirage5–13-0.0518%22 Mar
inferno4–13-0.0628%22 Mar
anubis7–13-0.049%10 Mar
nuke13–16-0.075%25 Feb
inferno7–13-0.063%9 Feb
mirage13–6-0.0622%15 Dec
mirage13–6-0.037%15 Dec
dust210–13-0.0714%15 Dec
nuke13–11-0.068%8 Dec
dust213–11-0.0413%3 Dec
train4–13-0.093%3 Dec
overpass7–13-0.0115%3 Dec
office12–5-0.038%2 Dec
office13–10-0.0525%1 Dec
overpass10–13-0.0216%26 Nov
office12–120.0514%24 Nov
ancient13–30.0214%17 Nov
nuke13–7-0.0511%17 Nov
inferno6–130.0110%17 Nov
overpass10–13-0.0115%16 Nov
nuke11–13-0.0410%16 Nov
mirage3–13-0.0718%16 Nov
train6–13-0.0410%16 Nov
inferno13–90.028%11 Nov
office10–13-0.068%2 Nov
office6–13-0.080%2 Nov
inferno14–16-0.0318%13 Oct
ancient13–7-0.129%13 Oct
dust213–6-0.0126%13 Oct
nuke4–13-0.038%13 Oct
mirage9–13-0.0311%13 Oct
train19–17-0.0413%9 Oct
mirage10–13-0.036%7 Oct
dust213–4-0.0224%7 Oct
palacio5–13-0.0713%6 Oct
office10–13-0.048%6 Oct
mirage13–8-0.0311%4 Oct
dust29–13-0.0911%4 Oct
office13–5-0.0412%4 Oct
ancient13–10-0.098%29 Sept
nuke5–13-0.1119%29 Sept
dust213–9-0.0312%28 Sept
ancient16–140.012%23 Sept
dust25–13-0.0116%23 Sept
nuke13–6-0.0321%14 Sept
mirage14–16-0.059%14 Sept
ancient13–5-0.018%6 Sept
ancient13–5-0.0014%6 Sept
mirage13–9-0.0410%2 Sept
ancient11–13-0.0510%1 Sept
dust210–13-0.049%1 Sept
dust211–13-0.0612%1 Sept
office13–10-0.0517%29 Aug
inferno12–16-0.0415%26 Aug
anubis10–130.0315%24 Aug
ancient25–28-0.0116%20 Aug
ancient13–40.0314%15 Aug
nuke13–90.0513%15 Aug
nuke13–5-0.0512%14 Aug
overpass9–130.0215%14 Aug
nuke8–13-0.123%14 Aug
nuke11–13-0.0110%13 Aug
nuke13–6-0.006%7 Aug
ancient16–14-0.047%7 Aug
mirage13–11-0.0312%7 Aug
nuke13–11-0.058%4 Aug
dust213–8-0.0313%4 Aug
inferno5–13-0.070%4 Aug
overpass13–20.0120%1 Aug
ancient9–13-0.0414%1 Aug
mirage13–8-0.0313%1 Aug
nuke13–11-0.0111%31 Jul
mirage13–6-0.0412%29 Jul
nuke13–5-0.0515%29 Jul
overpass15–15-0.095%29 Jul
ancient13–11-0.025%28 Jul
mirage14–16-0.0211%28 Jul
ancient9–13-0.069%27 Jul
ancient14–16-0.0211%27 Jul
nuke11–13-0.077%27 Jul
nuke15–15-0.0811%26 Jul
mirage13–40.009%26 Jul
ancient13–7-0.066%24 Jul
overpass13–60.0616%24 Jul
dust213–11-0.0613%23 Jul
nuke13–10-0.035%23 Jul
inferno8–13-0.025%23 Jul
overpass13–70.0116%21 Jul
ancient2–13-0.1015%18 Jul
mirage13–8-0.0410%18 Jul

Match data via Leetify.

Recent teammates

Milestones

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