N4ch0

N4ch0 — CS2 Stats

FI76561198965214484[U:1:1004948756]Steam profile ↗✓ No bans

1,308Tracked matches52%Win rate2020Tracked since
2,772Hours in CS34Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating16,412Purple band · top ~22.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 16,412 +121 3 Sept – 4 Nov · 27 days played
16,29118,831peak 18,8313 Sept4 Nov
19,237Peak Premier in tracked matches
27Days played since 2026-09-03

Premier CS Rating

  • 2,419 below peak (18,831)
  • -1,330 over 30 days · declining
  • Next: Pink band at 20,000 — 3,588 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.2%44.4%46.9%4.8% short
Shot accuracy14.3%11.9%13.0%above
Kill/death ratio0.971.031.080.11 short
Match win rate44.4%45.2%46.7%2.3% short

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

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

Share this profile

CSDB.GGN4ch0PREMIER16,412 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWLLLWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · +11ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 578ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

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).

Aim5.7
Utility5.3
Positioning5.0
Opening Duels0.7

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 80% 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. 561ms 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

Aim5.7
Positioning5.0
Utility5.3
Mechanics5.0
Opening Duels2.3
Win Impact5.6

Composite 5.0/10 (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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time555ms−18ms
first ⅓ avg 573ms → last ⅓ avg 555ms
Headshot accuracy16.5%+2.0%
first ⅓ avg 14.5% → last ⅓ avg 16.5%

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

0.11Best match rating · 13–8 · ancient, 22 Sept →
32%Best headshot accuracy · 10–13 · train, 21 Sept →
422msFastest reaction time · 13–9 · mirage, 23 Oct →
13–0Biggest win · dust2, 13 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 71% over 17anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%-0.00
dust2C208–1240%-0.02
nukeS1712–571%0.01
infernoC156–940%-0.02
ancientA95–456%0.02
cacheB63–350%-0.00
anubisD61–517%-0.02
vertigo—21–150%-0.06
train—10–10%0.03

Across the last 100 tracked matches.

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

Lifetime stats

72,358Lifetime kills
0.97K/D
3,962Matches
44.4%Match win rate
42.2%Headshot %
14.3%Shot accuracy · Top 50% of Purple band
12,102MVPs
1,486Hours (in match)
3,909Bombs planted
1,516Bombs defused

Most-used weapons

AK-4721,619
AWP7,232
SSG 082,061
FAMAS1,597
AUG1,365

Lifetime map wins

4,727nuke
4,313inferno
4,175dust2
3,364train
1,873vertigo
655lake
630cbble
78office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.8%Headshot accuracy
29.0%Accuracy (enemy spotted)
31.4%Spray accuracy
72.6%Counter-strafing
7.9°Preaim
561msReaction time
39.1%T opening success
39.2%CT opening success
0.62Enemies flashed / flash
10.5%Flash assists
7.78HE damage / grenade
7.76Flashes / 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 39.0805% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0716%4 Nov →
dust213–6-0.0411%4 Nov →
vertigo13–7-0.0313%4 Nov →
dust25–130.0229%4 Nov →
inferno2–13-0.0512%4 Nov →
dust211–13-0.0318%3 Nov →
ancient13–50.028%3 Nov →
mirage13–7-0.027%3 Nov →
mirage11–13-0.0516%1 Nov →
nuke9–13-0.0219%29 Oct →
mirage8–130.0124%29 Oct →
dust210–130.0116%29 Oct →
mirage15–15-0.055%28 Oct →
inferno13–4-0.0211%28 Oct →
vertigo2–13-0.0921%27 Oct →
mirage13–5-0.0029%27 Oct →
dust26–13-0.0128%27 Oct →
dust213–9-0.078%27 Oct →
ancient6–13-0.0610%27 Oct →
dust26–13-0.0417%26 Oct →
mirage13–110.0016%25 Oct →
ancient8–130.0413%25 Oct →
inferno16–14-0.0119%25 Oct →
nuke8–1-0.0120%25 Oct →
cache9–13-0.0217%25 Oct →
cache13–10.0125%25 Oct →
inferno11–13-0.0111%25 Oct →
nuke13–90.0121%24 Oct →
mirage13–8-0.0117%23 Oct →
mirage13–7-0.008%23 Oct →
mirage13–90.0223%23 Oct →
nuke4–13-0.0018%22 Oct →
nuke13–160.0418%22 Oct →
inferno2–9-0.198%22 Oct →
dust28–13-0.0416%21 Oct →
mirage13–70.0120%21 Oct →
nuke15–15-0.0115%21 Oct →
nuke13–7-0.0129%20 Oct →
dust214–16-0.0021%16 Oct →
inferno8–130.0210%16 Oct →
mirage13–60.018%16 Oct →
anubis10–13-0.0017%16 Oct →
nuke16–14-0.0410%16 Oct →
dust28–13-0.104%16 Oct →
dust213–7-0.0220%16 Oct →
mirage13–20.0316%16 Oct →
dust28–13-0.0018%13 Oct →
nuke10–130.0129%13 Oct →
mirage16–120.018%13 Oct →
dust213–0-0.008%13 Oct →
mirage8–13-0.0312%10 Oct →
mirage13–90.0220%10 Oct →
nuke13–110.0530%10 Oct →
mirage13–160.0620%10 Oct →
inferno13–6-0.0114%10 Oct →
dust213–20.0922%10 Oct →
mirage13–10-0.0214%10 Oct →
mirage12–160.0010%3 Oct →
inferno7–13-0.0324%3 Oct →
ancient13–50.1013%3 Oct →
anubis13–110.0319%2 Oct →
inferno13–80.0421%2 Oct →
mirage13–110.0225%2 Oct →
mirage2–13-0.1210%1 Oct →
nuke13–8-0.0414%1 Oct →
anubis7–13-0.075%1 Oct →
dust213–6-0.0315%1 Oct →
inferno16–130.0013%1 Oct →
mirage11–130.0112%1 Oct →
anubis7–13-0.069%1 Oct →
nuke13–70.0010%1 Oct →
cache5–13-0.0113%1 Oct →
ancient11–130.0110%30 Sept →
ancient6–13-0.0113%30 Sept →
inferno11–130.0813%30 Sept →
mirage10–130.0513%30 Sept →
nuke13–9-0.0210%30 Sept →
inferno12–16-0.017%30 Sept →
dust25–13-0.0513%30 Sept →
anubis9–13-0.037%29 Sept →
cache13–80.108%29 Sept →
nuke13–90.0816%29 Sept →
inferno15–15-0.056%29 Sept →
anubis13–16-0.0016%29 Sept →
inferno13–100.0511%24 Sept →
cache13–10-0.0117%24 Sept →
dust213–80.0018%24 Sept →
inferno0–13-0.0819%24 Sept →
dust213–16-0.0116%24 Sept →
nuke13–11-0.0117%23 Sept →
nuke13–50.1021%23 Sept →
mirage13–110.0715%23 Sept →
dust29–13-0.054%23 Sept →
ancient13–80.1124%22 Sept →
train10–130.0332%21 Sept →
dust213–8-0.0424%20 Sept →
mirage9–13-0.0424%20 Sept →
ancient13–60.0212%19 Sept →
cache6–13-0.0819%19 Sept →
nuke13–10-0.0117%19 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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