ncx

ncx — CS2 Stats

GB76561198072589986[U:1:112324258]Steam profile ↗✓ No bans

5,921Tracked matches43%Win rate2020Tracked since
8,451Hours in CS35Hrs last 2 wks
CSDB Rating5.7 SolidSupport
FaceitLevel 10 · 2,971 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,971 → 2,971
+44Tracked matches · now 5,921
−3.3ppWin rate · 46.7% → 43.3%

Rating over time

Premier CS Rating: 21,532 -4,680 25 Dec – 27 Jun · 15 days played
21,53226,887peak 26,88725 Dec27 Jun
Faceit ELO: 2,971 +0 29 Aug – 4 Sept · 3 observations
2,9712,971peak 2,97129 Aug4 Sept
26,952Peak Premier in tracked matches
2,971Highest Faceit ELO seen on CSDB
59Days played since 2025-12-25

Faceit ELO

  • At peak — 2,971
  • Next: 3,000 ELO at 3,000 — 29 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-29
  • Level 10 first seen 2026-08-29

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate52.4%50.9%
Shot accuracy13.4%13.7%
Kill/death ratio0.941.09
Match win rate50.0%48.4%

Share this profile

CSDB.GGncxFACEITLevel 10 · 2,971 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,971csdb.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

Aim80
Positioning53
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLLLWWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +12ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 567ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 545ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

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).

Aim8.0
Utility5.7
Positioning5.3
Opening Duels2.2
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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim8.0
Positioning5.3
Utility5.7
Mechanics5.2
Opening Duels1.8
Win Impact2.8

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.06
first ⅓ avg 0.07 → last ⅓ avg 0.01
Reaction time555ms−12ms
first ⅓ avg 568ms → last ⅓ avg 555ms
Headshot accuracy24.0%+2.8%
first ⅓ avg 21.3% → last ⅓ avg 24.0%

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

0.16Best match rating · 12–16 · mirage, 2 Jan →
50%Best headshot accuracy · 13–4 · mirage, 29 Mar →
422msFastest reaction time · 4–13 · anubis, 19 Jul →
13–1Biggest win · mirage, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 100% over 7anubisWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%0.05
ancientB189–950%0.03
anubisC176–1135%0.02
dust2B115–645%0.03
infernoB105–550%0.04
nukeS77–0100%0.02
overpassS76–186%0.03
train—22–0100%0.11
cache—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

264,302Lifetime kills
0.94K/D
8,816Matches
50.0%Match win rate · Top 50% of Level 10 players
52.4%Headshot % · Top 50% of Level 10 players
13.4%Shot accuracy
27,765MVPs
9,905Hours (in match)
13,421Bombs planted
3,073Bombs defused

Most-used weapons

AK-47104,934
AWP20,648
P2505,942
Knife5,215
Tec-94,646

Lifetime map wins

16,072dust2
13,148inferno
8,027nuke
7,078vertigo
3,631train
3,281cbble
53office
46lake

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

Faceit stats

Combat

5,185Matches
52%Win rate
1.09Avg K/D
77.7ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient73156%1.0616.0
Mirage67048%1.0516.0
Anubis44950%1.0516.6
Nuke35452%1.0015.8
Dust227545%0.9514.9
Overpass17661%1.1115.6
Inferno14345%1.0215.7
Vertigo14158%1.1516.6

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.

23.9%Headshot accuracy
35.6%Accuracy (enemy spotted)
42.3%Spray accuracy
73.2%Counter-strafing
9.5°Preaim
558msReaction time
28.0%T opening success
44.2%CT opening success
0.54Enemies flashed / flash
7.6%Flash assists
9.11HE damage / grenade
9.95Flashes / 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

    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 27.9625% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient14–160.0522%23 Oct →
inferno6–130.0027%23 Oct →
anubis7–130.059%22 Oct →
anubis13–10-0.0416%31 Aug →
mirage16–140.0119%16 Aug →
inferno13–70.0113%15 Aug →
ancient5–13-0.0226%15 Aug →
ancient19–160.0526%12 Aug →
ancient8–13-0.0324%12 Aug →
anubis8–130.0033%11 Aug →
mirage13–110.1622%11 Aug →
mirage7–13-0.0425%11 Aug →
nuke13–70.0018%10 Aug →
inferno13–80.0126%7 Aug →
anubis5–13-0.0116%7 Aug →
anubis8–130.0024%22 Jul →
ancient13–90.0123%20 Jul →
anubis11–130.0025%19 Jul →
anubis4–13-0.0224%19 Jul →
dust213–90.0823%19 Jul →
inferno1–8-0.0439%19 Jul →
mirage13–10.1426%19 Jul →
anubis5–130.0017%16 Jul →
anubis13–80.0230%16 Jul →
mirage8–13-0.0322%16 Jul →
ancient5–13-0.0413%11 Jul →
cache9–130.0145%9 Jul →
dust213–90.0634%9 Jul →
mirage11–13-0.0029%7 Jul →
ancient13–110.0328%1 Jul →
ancient13–40.0515%27 Jun →
anubis0–13-0.0140%27 Jun →
mirage10–130.0115%15 Jun →
ancient13–9-0.0226%8 Jun →
nuke13–5-0.0917%29 May →
ancient10–13-0.0320%23 May →
dust211–130.0123%22 May →
overpass13–11-0.0420%9 May →
ancient13–80.0523%3 May →
mirage13–90.0415%3 May →
dust27–13-0.0623%3 May →
mirage13–11-0.0017%29 Apr →
mirage11–130.0138%16 Apr →
overpass13–80.0921%12 Apr →
overpass13–60.0130%10 Apr →
anubis13–100.0921%5 Apr →
nuke13–40.0023%3 Apr →
mirage12–16-0.0322%31 Mar →
overpass13–60.0025%29 Mar →
ancient16–140.0235%29 Mar →
mirage13–40.1050%29 Mar →
overpass4–13-0.0113%27 Mar →
anubis16–140.0319%20 Mar →
ancient7–13-0.0023%19 Mar →
mirage7–13-0.0119%19 Mar →
mirage13–80.1018%17 Mar →
anubis13–110.0618%12 Mar →
mirage13–30.0315%12 Mar →
nuke13–8-0.0119%9 Mar →
dust28–13-0.0115%8 Mar →
anubis13–100.0126%6 Mar →
anubis3–13-0.0125%19 Feb →
inferno14–160.0920%16 Feb →
mirage13–30.1221%1 Feb →
dust213–110.0417%1 Feb →
anubis6–130.0423%31 Jan →
anubis10–130.0815%31 Jan →
dust213–100.0720%29 Jan →
mirage13–40.0624%27 Jan →
inferno13–100.0936%17 Jan →
dust26–13-0.0139%11 Jan →
ancient9–13-0.0313%7 Jan →
mirage5–130.0320%5 Jan →
mirage8–130.1018%5 Jan →
ancient11–130.1335%3 Jan →
nuke13–40.0925%3 Jan →
train16–140.1228%3 Jan →
inferno13–90.0720%3 Jan →
ancient8–130.0920%3 Jan →
mirage13–60.0614%3 Jan →
mirage12–160.1625%2 Jan →
inferno13–60.0517%2 Jan →
mirage10–130.0817%1 Jan →
overpass6–30.1322%1 Jan →
dust213–90.0820%1 Jan →
dust24–130.0317%1 Jan →
mirage8–130.0813%30 Dec →
inferno8–130.1018%30 Dec →
mirage13–80.0217%30 Dec →
ancient13–60.0715%30 Dec →
nuke13–100.1625%29 Dec →
dust211–130.0219%29 Dec →
train13–50.1126%28 Dec →
mirage13–50.0630%28 Dec →
inferno7–13-0.0017%28 Dec →
ancient13–20.1418%28 Dec →
nuke13–60.0120%28 Dec →
mirage13–100.1021%26 Dec →
mirage5–130.0214%26 Dec →
overpass13–100.0319%25 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 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.