silly kitty

silly kitty — CS2 Stats

RE76561199480647801[U:1:1520382073]Steam profile ↗✓ No bans

797Tracked matches54%Win rate2023Tracked since
651Hours in CS14Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating17,561Purple band · top ~18.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,561 → 17,561
+9Tracked matches · now 797
−5.1ppWin rate · 58.6% → 53.6%

Rating over time

Premier CS Rating: 17,561 +560 16 Sept – 25 Oct · 5 days played
16,76117,761peak 17,76116 Sept25 Oct
17,761Peak Premier in tracked matches
39Days played since 2026-08-22

Premier CS Rating

  • 200 below peak (17,761)
  • -200 over 30 days · steady
  • Next: Pink band at 20,000 — 2,439 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-25
  • Blue band first seen 2026-10-25

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 Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate55.1%43.8%44.8%above
Shot accuracy3.3%12.0%12.4%9.1% short
Kill/death ratio1.321.021.03above
Match win rate50.9%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsilly kittyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,561 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning47
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWLWLTWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +3.4pp headshot accuracy · −24ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 484ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 539ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

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 (+1.8 against its own average).

Aim6.9
Utility3.7
Positioning4.7
Opening Duels0.0
Clutch3.4

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

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

Aim6.9
Positioning4.7
Utility3.7
Mechanics5.1
Opening Duels1.0
Win Impact6.2

Composite 5.1/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time549ms−12ms
first ⅓ avg 561ms → last ⅓ avg 549ms
Headshot accuracy15.5%−5.1%
first ⅓ avg 20.6% → last ⅓ avg 15.5%

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

0.10Best match rating · 13–3 · inferno, 30 Aug →
52%Best headshot accuracy · 13–2 · office, 13 Sept →
352msFastest reaction time · 10–13 · office, 28 Oct →
13–0Biggest win · cache, 22 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
14–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 71% over 24cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2417–771%-0.00
mirageB2111–1052%-0.01
ancientB157–847%-0.03
officeB105–550%0.00
cacheC83–538%0.01
anubisA74–357%-0.03
infernoS64–267%-0.05
dust2—42–250%-0.01
rush_001—30–30%-0.07
train—10–10%0.08
overpass—11–0100%-0.00

Across the last 100 tracked matches.

Lifetime stats

23,430Lifetime kills
1.32K/D · Top 10% of Level 5 players
1,119Matches
50.9%Match win rate · Top 10% of Level 5 players
55.1%Headshot % · Top 10% of Level 5 players
3.3%Shot accuracy
2,692MVPs
593Hours (in match)
1,009Bombs planted
320Bombs defused

Most-used weapons

Lifetime map wins

2,076nuke
1,111dust2
958inferno
379vertigo
340train
332office
104cbble
21italy

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

Faceit stats

Combat

82Matches
54%Win rate
1.04Avg K/D
72.0ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2361%1.2615.7
Ancient1553%0.8111.7
Nuke1145%0.9614.3
Anubis875%0.9612.8
Dust2850%1.2718.3
Inferno771%0.8510.6
Overpass50%0.9213.4
Cache425%0.9915.8

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.

14.0%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.6%Spray accuracy
73.1%Counter-strafing
7.8°Preaim
544msReaction time
38.3%T opening success
27.8%CT opening success
0.50Enemies flashed / flash
4.9%Flash assists
6.27HE damage / grenade
7.84Flashes / 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 13.9894% — below the 15% mark we flag

    Aim Training →
  2. 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 38.2743% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0319%4 Nov →
cache13–110.0217%4 Nov →
ancient16–19-0.0214%29 Oct →
office13–10-0.0214%28 Oct →
office10–13-0.0716%28 Oct →
cache12–12-0.0013%25 Oct →
nuke16–13-0.0229%25 Oct →
dust213–30.0316%24 Oct →
nuke13–70.0519%24 Oct →
ancient13–10-0.0111%22 Oct →
nuke13–5-0.026%22 Oct →
ancient7–13-0.066%21 Oct →
nuke13–90.0015%21 Oct →
dust211–13-0.037%21 Oct →
ancient13–11-0.0414%18 Oct →
anubis9–13-0.022%18 Oct →
inferno13–10-0.0211%15 Oct →
train12–120.0828%14 Oct →
nuke11–130.0124%14 Oct →
rush_0016–8-0.0418%14 Oct →
rush_0016–8-0.1250%14 Oct →
ancient13–6-0.028%14 Oct →
mirage4–13-0.0010%14 Oct →
cache14–16-0.017%12 Oct →
anubis8–13-0.036%12 Oct →
anubis13–11-0.057%11 Oct →
rush_0013–7-0.0525%11 Oct →
office6–13-0.0315%9 Oct →
mirage13–11-0.039%7 Oct →
mirage9–130.0010%7 Oct →
nuke13–20.0236%7 Oct →
inferno13–11-0.0517%5 Oct →
inferno8–8-0.1014%5 Oct →
mirage3–13-0.0516%5 Oct →
dust25–13-0.0410%4 Oct →
dust213–7-0.0010%4 Oct →
anubis13–40.0213%4 Oct →
office13–8-0.0325%2 Oct →
mirage13–5-0.0129%2 Oct →
nuke7–0-0.0119%2 Oct →
mirage11–13-0.0321%1 Oct →
mirage13–50.0519%1 Oct →
office10–13-0.0027%30 Sept →
nuke9–20.0113%30 Sept →
mirage10–13-0.118%28 Sept →
anubis13–10-0.0213%27 Sept →
ancient13–40.0511%27 Sept →
mirage13–11-0.0419%24 Sept →
anubis13–9-0.0415%23 Sept →
nuke16–14-0.035%23 Sept →
ancient3–13-0.048%22 Sept →
nuke7–13-0.0123%21 Sept →
ancient6–130.0626%21 Sept →
nuke13–11-0.0213%21 Sept →
mirage15–19-0.0411%19 Sept →
cache13–70.0815%16 Sept →
nuke11–130.0718%16 Sept →
mirage13–8-0.009%16 Sept →
cache5–13-0.0736%16 Sept →
mirage10–130.0027%16 Sept →
ancient12–12-0.0418%16 Sept →
mirage10–30.0017%16 Sept →
nuke13–30.0514%15 Sept →
office13–50.1017%15 Sept →
mirage13–11-0.0132%14 Sept →
office13–20.0552%13 Sept →
nuke13–110.0720%13 Sept →
nuke13–100.0016%13 Sept →
nuke5–13-0.0627%13 Sept →
ancient6–13-0.0819%9 Sept →
mirage13–10.0513%9 Sept →
ancient16–14-0.0120%9 Sept →
nuke7–13-0.0817%8 Sept →
mirage11–13-0.0020%5 Sept →
nuke13–110.0319%5 Sept →
mirage13–6-0.0129%5 Sept →
office13–60.0218%3 Sept →
mirage13–110.0612%3 Sept →
overpass13–9-0.0026%31 Aug →
nuke5–9-0.0650%31 Aug →
anubis6–13-0.055%30 Aug →
inferno13–30.1039%30 Aug →
ancient13–7-0.0225%30 Aug →
nuke13–50.0224%30 Aug →
nuke6–13-0.0423%30 Aug →
ancient13–11-0.0220%30 Aug →
mirage13–160.0324%30 Aug →
mirage3–13-0.067%30 Aug →
office12–120.0120%26 Aug →
cache8–13-0.0139%26 Aug →
nuke13–8-0.0517%26 Aug →
nuke13–7-0.0018%26 Aug →
inferno13–9-0.0214%26 Aug →
inferno0–9-0.227%26 Aug →
ancient1–13-0.0816%24 Aug →
mirage13–100.0116%24 Aug →
nuke13–9-0.0322%24 Aug →
office8–13-0.0318%22 Aug →
cache9–13-0.0324%22 Aug →
cache13–00.0617%22 Aug →

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 →

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