Famous NiXyy♕

Famous NiXyy♕ — CS2 Stats

DK76561198005750018[U:1:45484290]Steam profile ↗VAC banned

3,547Tracked matches52%Win rate2020Tracked since
3,439Hours in CS
CSDB Rating4.2 DevelopingSupport
Premier CS Rating9,994Light Blue band · top ~54.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (63 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: 9,994 -2,179 1 Jul – 3 Sept · 27 days played
8,12113,553peak 13,5531 Jul3 Sept
13,553Peak Premier in tracked matches
881Highest Faceit ELO seen on CSDB
39Days played since 2026-07-01

Faceit ELO

  • At peak — 881
  • Next: Level 4 at 901 — 20 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 3,559 below peak (13,553)
  • +719 over 30 days · improving
  • Next: Blue band at 10,000 — 6 to go
  • Reached: Blue band · 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.3%39.9%42.0%above
Shot accuracy15.9%7.0%9.6%above
Kill/death ratio0.980.920.98meets
Match win rate43.8%42.3%43.8%meets

Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGFamous NiXyy♕PREMIER9,994 · Light Blue bandPEAK ELO881csdb.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

Aim52
Positioning45
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWLWWWLWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +6.7pp headshot accuracy · −81ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 628ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 632ms

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 (+1.7 against its own average).

Aim5.2
Utility5.4
Positioning4.5
Opening Duels2.0
Clutch3.0

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 644ms 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

Aim5.2
Positioning4.5
Utility5.4
Mechanics5.0
Opening Duels0.8
Win Impact5.6

Composite 4.2/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time638ms+17ms
first ⅓ avg 620ms → last ⅓ avg 638ms
Headshot accuracy15.4%+1.9%
first ⅓ avg 13.5% → last ⅓ avg 15.4%

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

0.12Best match rating · 13–8 · inferno, 16 Jul →
33%Best headshot accuracy · 7–13 · nuke, 28 Aug →
453msFastest reaction time · 13–5 · ancient, 10 Jul →
13–1Biggest win · dust2, 14 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 68% over 25anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS2517–868%0.01
nukeC229–1341%-0.03
dust2A159–660%0.01
mirageC125–742%-0.02
ancientA116–555%-0.02
anubisC83–538%-0.01
cacheA53–260%-0.01
office—10–10%-0.06
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,987Lifetime kills
0.98K/D · Top 50% of Light Blue band
8,004Matches
43.8%Match win rate · Top 50% of Light Blue band
44.3%Headshot % · Top 50% of Light Blue band
15.9%Shot accuracy · Top 25% of Light Blue band
17,129MVPs
3,439Hours (in match)
12,052Bombs planted
1,354Bombs defused

Most-used weapons

AK-4734,564
AWP12,203
AUG9,523
SG 5536,778
MP74,876
FAMAS4,606

Lifetime map wins

20,831inferno
11,836dust2
11,028nuke
4,691vertigo
3,117train
1,022lake
746office
473bank

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

Faceit stats

Combat

1,573Matches
50%Win rate
0.91Avg K/D
73.0ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno23957%1.0014.8
Nuke14548%0.8614.0
Dust214346%0.9714.6
Ancient12951%0.9214.2
Mirage7545%0.9111.6
Vertigo3658%1.1514.7
Overpass3247%0.8412.8
Anubis2642%0.7712.3

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.

14.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
40.7%Spray accuracy
72.6%Counter-strafing
10.8°Preaim
644msReaction time
27.1%T opening success
36.2%CT opening success
0.58Enemies flashed / flash
1.8%Flash assists
15.44HE damage / grenade
3.63Flashes / 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 14.4563% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6286 — below the 4 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 27.0588% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–12-0.0214%3 Sept →
inferno13–10-0.0418%3 Sept →
inferno1–13-0.0625%1 Sept →
inferno13–20.0020%1 Sept →
inferno13–40.0322%28 Aug →
nuke13–9-0.0811%28 Aug →
nuke7–13-0.0833%28 Aug →
inferno13–50.1014%27 Aug →
nuke10–13-0.0319%22 Aug →
cache6–13-0.0521%21 Aug →
anubis4–13-0.0013%21 Aug →
dust213–20.0413%15 Aug →
inferno9–13-0.037%13 Aug →
cache13–9-0.0220%13 Aug →
mirage1–7-0.0411%12 Aug →
dust27–13-0.0413%12 Aug →
nuke15–150.0217%11 Aug →
ancient7–13-0.0414%11 Aug →
nuke13–11-0.0413%11 Aug →
mirage13–11-0.028%7 Aug →
inferno13–70.0012%7 Aug →
inferno13–60.0111%5 Aug →
mirage3–13-0.0211%5 Aug →
cache13–70.0318%4 Aug →
anubis6–13-0.085%2 Aug →
nuke11–13-0.0510%2 Aug →
anubis13–11-0.038%1 Aug →
dust211–13-0.0012%1 Aug →
ancient13–60.028%31 Jul →
ancient1–9-0.1318%30 Jul →
ancient13–11-0.0316%28 Jul →
mirage6–13-0.0430%28 Jul →
inferno13–90.0220%28 Jul →
inferno11–13-0.0313%27 Jul →
cache13–7-0.0516%27 Jul →
inferno13–11-0.0614%27 Jul →
nuke4–13-0.0717%27 Jul →
nuke13–10-0.0314%26 Jul →
inferno10–60.0622%26 Jul →
mirage11–13-0.0518%26 Jul →
nuke13–16-0.0112%26 Jul →
inferno9–60.0620%26 Jul →
office4–13-0.0615%25 Jul →
dust213–90.0325%24 Jul →
anubis13–110.0414%24 Jul →
dust22–13-0.1113%24 Jul →
nuke13–50.0015%24 Jul →
nuke2–13-0.105%24 Jul →
nuke3–13-0.068%22 Jul →
inferno6–13-0.0512%22 Jul →
mirage10–13-0.0114%21 Jul →
dust213–90.0215%18 Jul →
ancient13–70.0214%18 Jul →
nuke13–90.0114%17 Jul →
anubis3–13-0.0514%17 Jul →
inferno13–80.1215%16 Jul →
inferno13–40.0514%16 Jul →
inferno15–150.0411%15 Jul →
dust27–13-0.0626%14 Jul →
inferno9–130.0113%14 Jul →
dust213–11-0.015%14 Jul →
dust213–100.0513%14 Jul →
dust213–10.0111%14 Jul →
mirage13–80.0212%14 Jul →
inferno13–90.0423%13 Jul →
dust213–30.046%13 Jul →
mirage11–130.0113%13 Jul →
ancient9–13-0.0513%13 Jul →
dust213–20.0816%13 Jul →
mirage14–160.0013%13 Jul →
dust213–50.0213%13 Jul →
dust27–130.0422%13 Jul →
inferno13–7-0.0010%12 Jul →
nuke13–50.066%12 Jul →
mirage16–14-0.0111%11 Jul →
anubis13–9-0.0114%10 Jul →
anubis8–13-0.0315%10 Jul →
mirage16–140.0010%10 Jul →
ancient13–50.0314%10 Jul →
anubis9–130.0811%10 Jul →
mirage13–10-0.0311%10 Jul →
inferno13–7-0.008%10 Jul →
inferno4–13-0.0514%9 Jul →
dust27–13-0.0115%9 Jul →
nuke10–13-0.0029%9 Jul →
cache11–130.0218%9 Jul →
inferno3–13-0.0813%9 Jul →
ancient12–160.017%9 Jul →
nuke4–130.0014%8 Jul →
nuke13–100.0217%6 Jul →
ancient13–7-0.0215%6 Jul →
ancient13–8-0.039%5 Jul →
nuke11–13-0.0212%5 Jul →
inferno13–60.0313%5 Jul →
inferno16–120.0521%4 Jul →
nuke13–40.0212%4 Jul →
nuke11–13-0.0714%4 Jul →
overpass13–6-0.012%4 Jul →
ancient9–13-0.0318%4 Jul →
nuke15–15-0.0416%1 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 →

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