Naxariis

Naxariis — CS2 Stats

NO76561198965282194[U:1:1005016466]Steam profile ↗✓ No bans

1,767Tracked matches57%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating18,104Purple band · top ~16% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 18,104 +1,713 19 Jul – 28 Oct · 14 days played
15,98318,801peak 18,80119 Jul28 Oct
Faceit ELO: 1,177 +0 9 Sept – 24 Sept · 3 observations
1,1771,177peak 1,1779 Sept24 Sept
18,801Peak Premier in tracked matches
1,177Highest Faceit ELO seen on CSDB
28Days played since 2026-07-07

Faceit ELO

  • At peak — 1,177
  • Next: Level 6 at 1,201 — 24 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-09
  • Level 4 first seen 2026-09-09

Premier CS Rating

  • 697 below peak (18,801)
  • +744 over 30 days · improving
  • +836 over 90 days
  • Next: Pink band at 20,000 — 1,896 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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.

Share this profile

CSDB.GGNaxariisPREMIER18,104 · Purple bandPEAK ELO1,177csdb.gg/stats

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Performance scores

Aim53
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWTLLWLLWWL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · +80ms reaction

Win rate down 40pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 627ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 613ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 573ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim5.3
Utility3.0
Positioning5.2
Opening Duels0.9
Clutch5.2

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

ropz

Plays most like ropz 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 49% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim5.3
Positioning5.2
Utility3.0
Mechanics5.6
Opening Duels2.4
Win Impact7.4

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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time562ms−33ms
first ⅓ avg 595ms → last ⅓ avg 562ms
Headshot accuracy10.9%−3.7%
first ⅓ avg 14.6% → last ⅓ avg 10.9%

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

0.22Best match rating · 9–2 · inferno, 8 Sept →
33%Best headshot accuracy · 3–0 · ancient, 24 Jul →
313msFastest reaction time · 0–10 · mirage, 11 Jul →
13–0Biggest win · cache, 16 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 71% over 14dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoA2616–1062%-0.02
ancientA1810–856%-0.04
dust2C166–1038%-0.03
cacheS1410–471%-0.03
nukeB115–645%-0.05
mirageS75–271%-0.01
anubisC52–340%-0.04
train—11–0100%0.02
fachwerk—11–0100%-0.03
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

246Matches
54%Win rate
0.89Avg K/D
71.4ADR
35%Headshot %

Clutches & streaks

46%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust23650%0.9113.2
Ancient3063%1.0413.6
Nuke2759%0.7712.4
Mirage2467%1.0815.8
Inferno2483%1.0413.7
Anubis956%0.8813.4
Overpass450%1.0415.8
Train367%0.8711.0

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.

10.9%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.7%Spray accuracy
75.3%Counter-strafing
9.1°Preaim
565msReaction time
49.5%T opening success
30.1%CT opening success
0.39Enemies flashed / flash
8.7%Flash assists
9.45HE damage / grenade
1.36Flashes / 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 10.8705% — below the 15% 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 0.3874 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 30.0818% — below the 40% mark we flag

Spend your practice time on Dust 2

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 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0517%28 Oct →
ancient12–12-0.029%28 Oct →
inferno0–13-0.068%28 Oct →
dust26–13-0.1322%23 Oct →
inferno13–9-0.0110%23 Oct →
cache4–13-0.0216%23 Oct →
ancient9–13-0.0712%23 Oct →
inferno13–6-0.016%23 Oct →
dust213–50.0410%23 Oct →
inferno11–13-0.019%23 Oct →
mirage13–10-0.059%14 Oct →
nuke19–17-0.0815%14 Oct →
dust26–13-0.0416%13 Oct →
mirage13–40.0411%12 Oct →
inferno13–9-0.0413%12 Oct →
cache13–11-0.106%12 Oct →
cache13–11-0.095%8 Oct →
inferno13–9-0.0716%8 Oct →
nuke11–13-0.037%7 Oct →
mirage13–40.0220%7 Oct →
anubis13–5-0.048%7 Oct →
nuke13–11-0.049%7 Oct →
ancient11–13-0.0410%6 Oct →
inferno10–13-0.0813%6 Oct →
ancient3–13-0.0715%29 Sept →
inferno12–12-0.0411%29 Sept →
inferno13–10-0.0413%28 Sept →
dust25–13-0.066%28 Sept →
nuke13–10-0.090%28 Sept →
inferno13–16-0.048%25 Sept →
mirage13–10.0518%25 Sept →
dust27–13-0.0712%25 Sept →
cache13–40.012%25 Sept →
nuke10–13-0.0213%25 Sept →
cache13–7-0.047%25 Sept →
ancient14–16-0.026%8 Sept →
dust213–60.0122%8 Sept →
cache13–2-0.029%8 Sept →
mirage13–11-0.0312%8 Sept →
inferno9–20.2219%8 Sept →
mirage11–13-0.0317%4 Sept →
dust213–6-0.053%4 Sept →
inferno13–110.0214%4 Sept →
inferno13–20.0116%17 Aug →
anubis13–10-0.0115%16 Aug →
dust24–90.0227%16 Aug →
inferno12–120.0521%16 Aug →
ancient13–8-0.0613%1 Aug →
inferno13–9-0.0320%1 Aug →
cache13–9-0.0218%1 Aug →
nuke13–3-0.0024%1 Aug →
ancient13–100.0220%26 Jul →
inferno16–14-0.0411%26 Jul →
dust213–50.0225%26 Jul →
anubis3–13-0.0920%26 Jul →
anubis5–13-0.0514%25 Jul →
ancient13–11-0.059%25 Jul →
inferno13–3-0.016%25 Jul →
dust211–13-0.070%25 Jul →
train13–90.0220%25 Jul →
ancient13–20.0512%25 Jul →
cache9–13-0.0410%25 Jul →
ancient4–13-0.0710%25 Jul →
dust24–13-0.0515%24 Jul →
dust211–130.0514%24 Jul →
inferno11–13-0.0423%24 Jul →
nuke7–13-0.044%24 Jul →
cache16–12-0.0113%24 Jul →
ancient3–0-0.0333%24 Jul →
inferno10–13-0.0412%19 Jul →
ancient13–7-0.059%19 Jul →
anubis4–13-0.0011%18 Jul →
dust213–100.0120%18 Jul →
nuke7–13-0.0119%18 Jul →
ancient9–13-0.0717%18 Jul →
nuke13–11-0.0516%18 Jul →
fachwerk7–5-0.0322%18 Jul →
nuke7–13-0.0810%17 Jul →
inferno13–7-0.0111%17 Jul →
ancient13–8-0.0111%17 Jul →
cache8–20.0414%17 Jul →
inferno13–5-0.0410%17 Jul →
dust28–13-0.0316%17 Jul →
cache13–00.0714%16 Jul →
dust26–13-0.0919%16 Jul →
ancient3–13-0.0816%16 Jul →
inferno8–13-0.0718%16 Jul →
ancient13–6-0.0423%15 Jul →
inferno13–30.0321%15 Jul →
ancient13–100.0111%15 Jul →
ancient8–3-0.0914%14 Jul →
cache8–13-0.0618%14 Jul →
cache13–110.0016%11 Jul →
dust213–0-0.0313%11 Jul →
mirage0–10-0.040%11 Jul →
overpass13–10-0.029%10 Jul →
cache7–13-0.0618%10 Jul →
inferno5–13-0.0413%10 Jul →
nuke5–13-0.075%10 Jul →
inferno13–90.0211%7 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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