♡ NekoYubia ♡

♡ NekoYubia ♡ — CS2 Stats

ES76561198821944267[U:1:861678539]Steam profile ↗✓ No bans

1,459Tracked matches40%Win rate2020Tracked since
3,214Hours in CS11Hrs last 2 wks
CSDB Rating3.1 LearningSupport
Premier CS Rating14,547Blue band · top ~30.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 days ago). 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: 14,547 -3,076 31 Jul – 1 Nov · 36 days played
13,95617,839peak 17,83931 Jul1 Nov
17,839Peak Premier in tracked matches
42Days played since 2026-07-31

Premier CS Rating

  • 3,292 below peak (17,839)
  • -452 over 30 days · declining
  • -2,077 over 90 days
  • Next: Purple band at 15,000 — 453 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.4%41.8%42.7%4.3% short
Shot accuracy11.9%12.2%11.2%above
Kill/death ratio0.730.980.990.27 short
Match win rate40.3%43.3%43.9%3.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♡ NekoYubia ♡FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,547 · Blue 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

Aim41
Positioning41
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY34–61–5Last 10034%Win rateLWLWWLWLLW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · +77ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 694ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 641ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 603ms

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 (+1.6 against its own average).

Aim4.1
Utility4.1
Positioning4.1
Opening Duels0.9
Clutch0.8

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim4.1
Positioning4.1
Utility4.1
Mechanics2.2
Opening Duels1.2
Win Impact1.7

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time593ms+26ms
first ⅓ avg 567ms → last ⅓ avg 593ms
Headshot accuracy9.1%−2.0%
first ⅓ avg 11.1% → last ⅓ avg 9.1%

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 · 13–6 · ancient, 4 Sept →
30%Best headshot accuracy · 3–13 · inferno, 21 Sept →
391msFastest reaction time · 5–13 · inferno, 15 Oct →
13–1Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 50% over 8cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB4018–2245%-0.03
mirageD205–1525%-0.04
dust2D175–1229%-0.05
ancientB84–450%-0.02
nukeD71–614%-0.06
cacheD50–50%-0.04
anubis—21–150%0.01
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

57,555Lifetime kills
0.73K/D
4,336Matches
40.3%Match win rate
38.4%Headshot %
11.9%Shot accuracy
7,120MVPs
1,824Hours (in match)
6,273Bombs planted
678Bombs defused

Most-used weapons

Lifetime map wins

19,459inferno
5,686dust2
1,813vertigo
995nuke
779cbble
737train
70lake
42office

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

Faceit stats

Combat

427Matches
47%Win rate
0.78Avg K/D
68.6ADR
37%Headshot %

Clutches & streaks

24%1v1 clutch win
4%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2454%1.0713.2
Dust21233%0.8611.3
Ancient1020%0.689.8
Nuke650%0.7412.3
Mirage580%0.8511.0
Vertigo40%0.589.5
Cache425%0.517.8
Anubis333%0.598.3

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.

9.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
41.7%Spray accuracy
59.8%Counter-strafing
10.2°Preaim
596msReaction time
29.5%T opening success
39.6%CT opening success
0.52Enemies flashed / flash
1.9%Flash assists
8.17HE damage / grenade
4.11Flashes / 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 9.1401% — 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 29.5082% — 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
mirage7–13-0.0512%1 Nov →
mirage13–60.0117%1 Nov →
nuke8–13-0.0718%29 Oct →
mirage13–9-0.0319%29 Oct →
dust213–3-0.034%29 Oct →
inferno1–13-0.080%29 Oct →
dust213–10-0.054%27 Oct →
ancient7–13-0.0310%24 Oct →
nuke8–13-0.077%24 Oct →
inferno13–100.0215%24 Oct →
nuke14–16-0.0113%23 Oct →
inferno7–130.0010%23 Oct →
mirage4–13-0.024%22 Oct →
mirage4–13-0.105%22 Oct →
inferno10–13-0.018%21 Oct →
inferno13–9-0.0211%19 Oct →
dust21–13-0.098%16 Oct →
mirage13–70.014%16 Oct →
inferno5–130.0011%15 Oct →
inferno11–130.0012%5 Oct →
inferno13–7-0.045%5 Oct →
inferno8–13-0.068%4 Oct →
inferno13–6-0.045%26 Sept →
nuke14–16-0.0810%26 Sept →
vertigo11–13-0.073%25 Sept →
inferno13–4-0.0315%25 Sept →
inferno13–1-0.054%25 Sept →
inferno5–13-0.072%23 Sept →
dust28–13-0.017%23 Sept →
anubis13–90.0614%23 Sept →
cache8–130.029%23 Sept →
inferno6–130.0016%22 Sept →
anubis0–13-0.0410%22 Sept →
ancient5–13-0.049%22 Sept →
inferno8–13-0.015%21 Sept →
mirage2–13-0.067%21 Sept →
inferno3–13-0.0730%21 Sept →
mirage14–16-0.016%20 Sept →
dust215–15-0.069%20 Sept →
dust213–8-0.090%19 Sept →
mirage8–13-0.0721%19 Sept →
inferno3–13-0.076%15 Sept →
inferno13–11-0.045%15 Sept →
inferno12–12-0.0115%13 Sept →
ancient7–13-0.0211%13 Sept →
ancient13–7-0.0013%13 Sept →
inferno15–15-0.0210%13 Sept →
dust24–130.0015%13 Sept →
dust28–50.0115%13 Sept →
mirage6–13-0.0312%9 Sept →
inferno16–120.0110%9 Sept →
inferno13–10-0.0316%6 Sept →
inferno13–11-0.0113%4 Sept →
ancient13–60.0712%4 Sept →
inferno11–13-0.0215%2 Sept →
inferno2–13-0.084%2 Sept →
ancient13–11-0.0014%1 Sept →
dust213–11-0.075%1 Sept →
inferno11–13-0.0210%1 Sept →
mirage2–13-0.0814%30 Aug →
dust27–13-0.004%30 Aug →
inferno4–13-0.023%19 Aug →
cache4–13-0.0610%18 Aug →
mirage6–13-0.0112%17 Aug →
nuke13–9-0.0214%17 Aug →
dust24–13-0.118%15 Aug →
mirage11–13-0.0113%15 Aug →
mirage1–13-0.0118%14 Aug →
mirage8–13-0.0613%14 Aug →
inferno14–16-0.0219%13 Aug →
inferno13–9-0.0515%13 Aug →
inferno13–9-0.0510%13 Aug →
dust22–13-0.0122%13 Aug →
dust20–2-0.020%13 Aug →
nuke10–13-0.0510%13 Aug →
inferno13–16-0.0214%13 Aug →
cache7–13-0.015%13 Aug →
mirage13–3-0.0411%12 Aug →
inferno13–9-0.0515%12 Aug →
inferno13–90.0213%12 Aug →
ancient13–6-0.065%10 Aug →
mirage6–13-0.018%10 Aug →
inferno13–90.0113%9 Aug →
mirage2–13-0.1225%9 Aug →
inferno10–13-0.029%7 Aug →
dust28–13-0.0815%7 Aug →
cache9–13-0.0713%7 Aug →
dust210–13-0.0311%6 Aug →
inferno9–13-0.017%6 Aug →
nuke9–13-0.0810%6 Aug →
mirage13–1-0.0210%6 Aug →
inferno13–5-0.0412%5 Aug →
inferno12–12-0.0111%3 Aug →
dust20–2-0.100%3 Aug →
mirage6–13-0.066%3 Aug →
dust29–13-0.106%3 Aug →
inferno16–14-0.0210%2 Aug →
ancient9–13-0.0714%2 Aug →
cache15–15-0.0710%31 Jul →
inferno13–70.038%31 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.