Nax

Nax — CS2 Stats

76561198072185088[U:1:111919360]Steam profile ↗✓ No bans

128Tracked matches45%Win rate2023Tracked since
CSDB Rating4.9 DevelopingClutch Specialist
CSDB Leaderboard#48438 of 251430 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 128
0.0ppWin rate · 44.8% → 44.8%

Rating over time

Premier CS Rating: 22,477 +2,881 16 Apr – 18 Sept · 32 days played
18,37423,821peak 23,82116 Apr18 Sept
23,821Peak Premier in tracked matches
37Days played since 2026-04-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGNaxFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning40
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWLLLLWWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −4.7pp headshot accuracy · −32ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 658ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 699ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 715ms

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 (+2.1 against its own average).

Aim6.7
Utility3.7
Positioning4.0
Opening Duels2.1
Clutch6.0

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 98% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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. 712ms 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

Aim6.7
Positioning4.0
Utility3.7
Mechanics7.1
Opening Duels1.3
Win Impact3.3

Composite 4.9/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time715ms−24ms
first ⅓ avg 738ms → last ⅓ avg 715ms
Headshot accuracy19.4%−4.6%
first ⅓ avg 24.0% → last ⅓ avg 19.4%

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

0.10Best match rating · 13–6 · cache, 20 Jun →
50%Best headshot accuracy · 1–1 · ancient, 25 Apr →
438msFastest reaction time · 0–4 · inferno, 19 May →
13–2Biggest win · overpass, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 82% over 11infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.04
cacheC218–1338%-0.00
dust2A2011–955%-0.03
ancientS119–282%-0.03
infernoD103–730%-0.03
nukeB84–450%-0.02
anubis—42–250%-0.07
overpass—32–167%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

39Matches
49%Win rate
1.08Avg K/D
76.8ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1942%1.0415.4
Anubis771%1.5017.3
Nuke520%0.8216.2
Inferno560%0.9614.8
Dust2367%1.0114.3

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.

19.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
39.1%Spray accuracy
82.1%Counter-strafing
9.5°Preaim
712msReaction time
30.0%T opening success
40.6%CT opening success
0.48Enemies flashed / flash
4.5%Flash assists
6.33HE damage / grenade
5.99Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.6478ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4763 — below the 0.5 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 30.017% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient1–8-0.059%27 Sept →
mirage13–7-0.0122%23 Jun →
mirage8–13-0.0124%22 Jun →
cache3–130.0716%22 Jun →
cache5–13-0.0620%21 Jun →
nuke4–13-0.0511%20 Jun →
nuke13–60.0128%20 Jun →
cache13–60.1020%20 Jun →
ancient13–9-0.0517%14 Jun →
inferno13–7-0.0115%14 Jun →
mirage4–13-0.0324%10 Jun →
mirage3–13-0.0221%10 Jun →
cache13–60.0120%8 Jun →
anubis10–13-0.0628%5 Jun →
overpass13–2-0.0215%5 Jun →
ancient13–9-0.0610%4 Jun →
cache12–12-0.0231%3 Jun →
dust28–13-0.1223%2 Jun →
nuke4–13-0.0639%2 Jun →
mirage13–10-0.0116%2 Jun →
anubis7–13-0.0810%29 May →
ancient13–6-0.0018%27 May →
nuke11–13-0.0610%27 May →
dust213–11-0.0225%26 May →
cache8–13-0.0613%26 May →
mirage5–13-0.0921%26 May →
dust21–13-0.1211%25 May →
dust213–9-0.0628%25 May →
cache13–6-0.0919%24 May →
dust210–13-0.0417%24 May →
dust28–130.0215%24 May →
anubis13–10-0.0615%23 May →
cache4–13-0.0330%21 May →
mirage13–6-0.0818%21 May →
inferno0–4-0.0214%19 May →
ancient13–3-0.0130%19 May →
mirage13–5-0.0419%19 May →
cache13–110.0416%19 May →
overpass13–11-0.0229%19 May →
cache6–130.0119%19 May →
ancient11–13-0.0427%19 May →
cache7–130.0328%19 May →
cache12–120.0028%18 May →
mirage13–11-0.0812%12 May →
cache8–13-0.0129%12 May →
cache7–13-0.0129%12 May →
cache13–70.0439%12 May →
cache13–10-0.0232%9 May →
cache13–7-0.0125%8 May →
cache9–130.0244%8 May →
cache8–13-0.0217%8 May →
cache13–10-0.0522%7 May →
mirage10–13-0.0436%7 May →
inferno15–150.0135%7 May →
dust213–10-0.0127%6 May →
ancient13–10-0.0618%6 May →
dust21–13-0.054%6 May →
overpass5–13-0.0933%6 May →
cache8–13-0.0316%6 May →
ancient13–10-0.0131%5 May →
inferno8–13-0.0416%5 May →
anubis13–10-0.0615%5 May →
mirage13–9-0.0617%5 May →
mirage5–13-0.0520%5 May →
inferno13–3-0.0614%26 Apr →
mirage13–60.0435%26 Apr →
nuke13–8-0.0218%26 Apr →
mirage15–15-0.0319%25 Apr →
dust213–8-0.0823%25 Apr →
dust213–80.0422%25 Apr →
mirage13–40.0314%25 Apr →
ancient1–1-0.0450%25 Apr →
inferno10–13-0.0129%25 Apr →
dust213–70.0215%25 Apr →
mirage5–13-0.0531%23 Apr →
inferno10–13-0.0018%23 Apr →
inferno7–13-0.0122%22 Apr →
dust28–130.0233%22 Apr →
mirage13–4-0.0510%21 Apr →
mirage13–3-0.0214%21 Apr →
dust213–2-0.028%21 Apr →
mirage4–13-0.0127%21 Apr →
nuke11–130.0318%21 Apr →
inferno11–13-0.0918%19 Apr →
dust213–100.0025%19 Apr →
dust28–13-0.0123%18 Apr →
dust213–11-0.0411%18 Apr →
nuke13–4-0.0716%18 Apr →
ancient13–6-0.0015%18 Apr →
mirage8–13-0.0415%17 Apr →
dust25–13-0.0642%17 Apr →
mirage3–13-0.0840%17 Apr →
ancient13–11-0.0226%16 Apr →
nuke13–60.0644%16 Apr →
mirage13–7-0.0530%16 Apr →
dust213–3-0.0520%16 Apr →
dust213–20.0146%16 Apr →
mirage13–5-0.1022%12 Apr →
dust24–13-0.1318%12 Apr →
inferno13–6-0.0329%12 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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