n1xon

n1xon — CS2 Stats

LV76561199524028756[U:1:1563763028]Steam profile ↗✓ No bans

573Tracked matches39%Win rate2023Tracked since
1,185Hours in CS31Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating14,403Blue band · top ~31.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 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: 14,403 -596 25 Aug – 3 Oct · 18 days played
13,70216,455peak 16,45525 Aug3 Oct
17,092Peak Premier in tracked matches
19Days played since 2026-08-25

Premier CS Rating

  • 2,052 below peak (16,455)
  • -1,147 over 30 days · declining
  • Next: Purple band at 15,000 — 597 to go
  • Reached: Purple band · 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 Level 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate56.9%42.7%43.8%above
Shot accuracy2.4%11.3%12.0%9.6% short
Kill/death ratio1.120.991.02above
Match win rate49.0%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGn1xonFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,403 · 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

Aim68
Positioning60
Utility63

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLLLLLWLLL

Last 10 vs previous 10: −60pp win rate · −0.02 avg rating · +3.0pp headshot accuracy · −11ms reaction

Win rate down 60pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 28%
  • Avg reaction 586ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 588ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 594ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim6.8
Utility6.3
Positioning6.0
Opening Duels2.9
Clutch9.4

Reliable in 1v1s

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 78% 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 604ms 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

Aim6.8
Positioning6.0
Utility6.3
Mechanics7.2
Opening Duels4.7
Win Impact1.4

Composite 5.6/10 (Solid), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time601ms−51ms
first ⅓ avg 652ms → last ⅓ avg 601ms
Headshot accuracy24.2%−6.4%
first ⅓ avg 30.5% → last ⅓ avg 24.2%

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 · 13–3 · anubis, 29 Aug →
100%Best headshot accuracy · 2–0 · mirage, 17 Sept →
438msFastest reaction time · 2–0 · mirage, 17 Sept →
13–0Biggest win · ancient, 2 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L6Current streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 61% over 18nukeWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
cacheA1811–761%0.00
mirageC166–1038%-0.00
anubisB157–847%-0.00
dust2A148–657%-0.01
nukeD132–1115%-0.05
infernoB137–654%-0.00
ancientB115–645%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,874Lifetime kills
1.12K/D · Top 25% of Level 4 players
1,465Matches
49.0%Match win rate · Top 25% of Level 4 players
56.9%Headshot % · Top 10% of Level 4 players
2.4%Shot accuracy
3,495MVPs
640Hours (in match)
1,929Bombs planted
433Bombs defused

Most-used weapons

Lifetime map wins

2,961dust2
2,122nuke
1,592inferno
727vertigo
140train
18office
7ar_shoots
6lake

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

Faceit stats

Combat

5Matches
20%Win rate
0.93Avg K/D
76.0ADR
49%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%1.0018.5
Vertigo10%0.365.0
Anubis10%0.448.0
Nuke1100%1.8626.0

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.

24.0%Headshot accuracy
30.9%Accuracy (enemy spotted)
38.0%Spray accuracy
82.6%Counter-strafing
11.4°Preaim
604msReaction time
63.4%T opening success
34.5%CT opening success
0.70Enemies flashed / flash
6.4%Flash assists
9.73HE damage / grenade
11.51Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.5352% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0328%3 Oct →
nuke3–13-0.0425%3 Oct →
dust20–13-0.1042%3 Oct →
mirage8–13-0.0530%3 Oct →
nuke5–13-0.0415%3 Oct →
dust27–130.0431%2 Oct →
inferno13–8-0.0129%2 Oct →
nuke6–13-0.0921%2 Oct →
anubis8–130.0312%2 Oct →
nuke9–13-0.0818%2 Oct →
inferno9–13-0.0818%2 Oct →
inferno9–13-0.0633%2 Oct →
dust213–70.0523%2 Oct →
ancient13–0-0.0223%2 Oct →
cache13–10-0.0513%1 Oct →
dust213–110.0317%1 Oct →
inferno13–50.0228%1 Oct →
cache15–15-0.0124%1 Oct →
cache13–10-0.0316%30 Sept →
anubis13–90.0125%30 Sept →
mirage8–13-0.0129%30 Sept →
ancient9–13-0.0115%28 Sept →
nuke8–13-0.0519%28 Sept →
mirage13–00.059%28 Sept →
cache13–30.0929%28 Sept →
cache15–150.1035%27 Sept →
anubis11–13-0.0224%27 Sept →
ancient13–6-0.0126%25 Sept →
inferno6–13-0.0642%25 Sept →
nuke8–13-0.0425%25 Sept →
anubis4–13-0.0843%25 Sept →
inferno10–130.0431%25 Sept →
dust21–13-0.035%25 Sept →
dust213–90.0338%25 Sept →
cache16–14-0.0324%20 Sept →
dust213–00.0245%20 Sept →
ancient13–16-0.0316%20 Sept →
dust213–9-0.0429%20 Sept →
mirage11–13-0.0123%19 Sept →
cache10–13-0.0818%19 Sept →
nuke13–16-0.0235%19 Sept →
mirage13–80.0518%19 Sept →
inferno13–10-0.0440%17 Sept →
mirage11–130.0118%17 Sept →
dust25–13-0.0831%17 Sept →
anubis1–130.0119%17 Sept →
mirage2–00.03100%17 Sept →
cache13–60.0431%17 Sept →
anubis13–30.0326%17 Sept →
dust213–60.0044%16 Sept →
ancient6–130.0131%16 Sept →
cache5–13-0.0031%16 Sept →
anubis13–5-0.0142%16 Sept →
cache13–5-0.0338%16 Sept →
nuke15–15-0.0225%15 Sept →
mirage13–10.0129%15 Sept →
ancient13–3-0.0240%15 Sept →
mirage6–13-0.0325%15 Sept →
ancient13–9-0.0561%14 Sept →
inferno10–13-0.0134%14 Sept →
mirage3–13-0.0320%13 Sept →
inferno12–120.0634%13 Sept →
cache6–13-0.0429%13 Sept →
anubis3–13-0.0818%30 Aug →
mirage6–130.0137%30 Aug →
nuke5–13-0.0833%30 Aug →
cache13–90.0032%30 Aug →
ancient14–16-0.0620%30 Aug →
anubis13–80.0233%30 Aug →
cache13–70.0527%30 Aug →
mirage13–90.0120%30 Aug →
ancient13–80.0333%30 Aug →
inferno13–90.0130%30 Aug →
mirage8–13-0.0611%29 Aug →
ancient11–13-0.0228%29 Aug →
nuke6–13-0.0430%29 Aug →
anubis7–13-0.0224%29 Aug →
cache13–7-0.0132%29 Aug →
cache3–13-0.0455%29 Aug →
inferno13–80.0530%29 Aug →
dust23–13-0.0122%29 Aug →
anubis13–8-0.0930%29 Aug →
inferno7–00.0545%29 Aug →
dust213–11-0.0132%29 Aug →
mirage13–3-0.0119%29 Aug →
anubis13–30.1224%29 Aug →
inferno13–4-0.0126%28 Aug →
cache13–70.0850%28 Aug →
nuke13–11-0.0452%28 Aug →
anubis5–130.0219%28 Aug →
dust213–30.0429%28 Aug →
ancient9–130.0425%28 Aug →
cache13–80.0533%28 Aug →
nuke13–7-0.0330%28 Aug →
cache6–13-0.0336%28 Aug →
mirage7–130.1020%26 Aug →
dust28–13-0.0633%26 Aug →
nuke2–13-0.0733%26 Aug →
mirage10–13-0.0647%26 Aug →
anubis13–100.0130%25 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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