Cinderella🎀

Cinderella🎀 — CS2 Stats

76561199147246269[U:1:1186980541]Steam profile ↗✓ No bans

1,825Tracked matches26%Win rate2023Tracked since
1,780Hours in CS18Hrs last 2 wks
CSDB Rating1.9 LearningClutch Specialist
Premier CS Rating3,490Grey band · top ~85.2% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,490 -1,510 23 Sept – 26 Oct · 20 days played
3,4907,033peak 7,03323 Sept26 Oct
7,033Peak Premier in tracked matches
22Days played since 2026-09-06

Premier CS Rating

  • 3,543 below peak (7,033)
  • -1,540 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,510 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate28.0%38.2%39.9%11.9% short
Shot accuracy1.1%3.6%7.0%5.8% short
Kill/death ratio0.600.830.920.32 short
Match win rate29.3%40.2%42.3%12.9% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCinderella🎀PREMIER3,490 · Grey bandcsdb.gg/stats

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Performance scores

Aim15
Positioning51
Utility15

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateLWLLLLTLTW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · +32ms 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 -0.05
  • Avg headshot accuracy 5%
  • Avg reaction 656ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 5%
  • Avg reaction 664ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 6%
  • Avg reaction 648ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim1.5
Utility1.5
Positioning5.1
Opening Duels1.3
Clutch6.0

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

m0NESY

Plays most like m0NESY 62% 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim1.5
Positioning5.1
Utility1.5
Mechanics0.3
Opening Duels3.8
Win Impact0.0

Composite 1.9/10 (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+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time618ms+5ms
first ⅓ avg 613ms → last ⅓ avg 618ms
Headshot accuracy6.7%+0.5%
first ⅓ avg 6.3% → last ⅓ avg 6.7%

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

0.07Best match rating · 4–13 · office, 15 Oct →
17%Best headshot accuracy · 13–11 · cache, 7 Oct →
422msFastest reaction time · 9–7 · inferno, 5 Oct →
13–0Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 56% over 16dust2Weakest map · 7% over 15
MapGradePlayedRecordWin rateAvg rating
nukeD225–1723%-0.05
infernoB179–853%-0.06
cacheA169–756%-0.05
dust2D151–147%-0.06
mirageD134–931%-0.05
ancientB84–450%-0.03
anubis—43–175%-0.04
vertigo—20–20%-0.04
overpass—21–150%-0.07
office—10–10%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,543Lifetime kills
0.60K/D
2,873Matches
29.3%Match win rate
28.0%Headshot %
1.1%Shot accuracy
2,353MVPs
854Hours (in match)
1,891Bombs planted
218Bombs defused

Most-used weapons

Lifetime map wins

3,187inferno
2,588nuke
1,394train
1,145dust2
691vertigo
359office
104ar_shoots
59lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

29Matches
41%Win rate
0.70Avg K/D
62.7ADR
30%Headshot %

Clutches & streaks

50%1v1 clutch win
8%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.5910.0
Dust2633%0.6910.7
Nuke650%0.599.2
Ancient540%1.1412.8
Inferno540%0.579.6
Train10%0.6416.0

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.

6.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.2%Spray accuracy
51.4%Counter-strafing
12.0°Preaim
622msReaction time
52.3%T opening success
37.9%CT opening success
0.23Enemies flashed / flash
0.0%Flash assists
5.20HE damage / grenade
2.10Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0473° — above the 12° mark we flag

    Aim Training →
  2. 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 6.7423% — below the 15% mark we flag

    Aim Training →
  3. 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 0.235 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.082%26 Oct →
cache13–1-0.027%26 Oct →
inferno5–13-0.060%26 Oct →
dust27–13-0.058%26 Oct →
ancient8–13-0.0310%24 Oct →
inferno7–13-0.044%24 Oct →
nuke15–15-0.016%24 Oct →
nuke10–13-0.023%24 Oct →
vertigo12–12-0.027%23 Oct →
mirage13–100.067%22 Oct →
mirage1–13-0.077%22 Oct →
cache13–16-0.0215%19 Oct →
dust26–130.004%18 Oct →
dust210–13-0.0111%18 Oct →
cache7–13-0.0210%16 Oct →
nuke8–130.024%16 Oct →
mirage5–13-0.085%16 Oct →
overpass13–6-0.098%16 Oct →
nuke11–13-0.064%15 Oct →
office4–130.074%15 Oct →
dust25–13-0.0912%15 Oct →
dust25–13-0.039%10 Oct →
dust22–13-0.1011%10 Oct →
inferno13–20.0612%10 Oct →
anubis13–4-0.036%10 Oct →
dust213–11-0.0712%8 Oct →
nuke9–130.014%8 Oct →
inferno13–4-0.040%8 Oct →
overpass3–13-0.069%7 Oct →
cache12–12-0.080%7 Oct →
vertigo12–12-0.054%7 Oct →
inferno0–13-0.110%7 Oct →
cache13–11-0.1117%7 Oct →
inferno12–16-0.090%5 Oct →
mirage2–130.016%5 Oct →
cache4–13-0.108%5 Oct →
nuke6–13-0.110%5 Oct →
inferno9–7-0.039%5 Oct →
dust26–13-0.017%4 Oct →
cache16–14-0.064%4 Oct →
cache16–14-0.026%4 Oct →
dust22–13-0.075%4 Oct →
anubis8–13-0.035%4 Oct →
nuke9–13-0.060%4 Oct →
inferno4–9-0.097%4 Oct →
cache13–8-0.062%4 Oct →
inferno6–13-0.047%4 Oct →
ancient13–70.026%3 Oct →
cache13–60.0313%3 Oct →
anubis13–10-0.0911%3 Oct →
nuke4–13-0.095%3 Oct →
inferno13–11-0.059%3 Oct →
mirage4–13-0.075%3 Oct →
nuke10–13-0.0510%30 Sept →
nuke13–3-0.034%30 Sept →
inferno13–0-0.056%30 Sept →
dust25–13-0.092%30 Sept →
ancient11–13-0.084%30 Sept →
cache13–5-0.017%30 Sept →
nuke13–9-0.0410%29 Sept →
mirage5–13-0.042%29 Sept →
inferno5–9-0.150%29 Sept →
ancient13–4-0.003%28 Sept →
mirage13–11-0.027%28 Sept →
inferno13–8-0.017%28 Sept →
cache13–4-0.020%28 Sept →
nuke4–9-0.118%28 Sept →
mirage6–13-0.120%28 Sept →
mirage4–13-0.0313%28 Sept →
nuke2–13-0.025%28 Sept →
nuke13–6-0.017%27 Sept →
inferno16–13-0.047%27 Sept →
dust28–13-0.1013%27 Sept →
nuke13–0-0.015%27 Sept →
dust26–13-0.0715%26 Sept →
ancient13–8-0.019%26 Sept →
cache3–13-0.064%26 Sept →
inferno6–13-0.105%26 Sept →
nuke10–13-0.084%26 Sept →
mirage5–13-0.0915%26 Sept →
nuke5–130.0211%25 Sept →
nuke4–13-0.113%25 Sept →
ancient13–11-0.0213%25 Sept →
nuke12–16-0.052%25 Sept →
nuke6–13-0.099%25 Sept →
dust215–15-0.086%25 Sept →
cache8–13-0.0614%25 Sept →
nuke15–15-0.063%24 Sept →
cache5–13-0.090%24 Sept →
inferno13–8-0.062%24 Sept →
anubis13–7-0.015%24 Sept →
ancient10–13-0.062%24 Sept →
inferno13–6-0.075%24 Sept →
dust214–16-0.099%23 Sept →
mirage6–1-0.055%23 Sept →
nuke13–10-0.047%23 Sept →
dust211–13-0.077%23 Sept →
cache13–5-0.080%23 Sept →
mirage13–9-0.090%23 Sept →
mirage5–13-0.104%23 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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