✪Nixion︻芫――

✪Nixion︻芫―― — CS2 Stats

DK76561199227861370[U:1:1267595642]Steam profile ↗✓ No bans

465Tracked matches50%Win rate2022Tracked since
690Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating21,718Top 50% of 210,832 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#59414 of 257810 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Jun 2026 (147 days ago). 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: 21,718 +2,720 30 Apr – 2 Jun · 6 days played
18,87521,718peak 21,71830 Apr2 Jun
21,718Peak Premier in tracked matches
49Days played since 2026-04-12

Premier CS Rating

  • At peak — 21,718
  • +2,843 over 30 days · improving
  • Next: Red band at 25,000 — 3,282 to go
  • Reached: Pink band · 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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.6%43.8%44.8%6.2% short
Shot accuracy5.1%12.0%12.4%7.3% short
Kill/death ratio1.121.021.03above
Match win rate46.5%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪Nixion︻芫――FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER21,718 · Pink 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

Aim66
Positioning67
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLWWLWWWLWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −4.1pp headshot accuracy · −77ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 568ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

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 (+0.9 against its own average).

Aim6.6
Utility6.1
Positioning6.7
Opening Duels4.5
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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 607ms 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

Aim6.6
Positioning6.7
Utility6.1
Mechanics7.1
Opening Duels4.6
Win Impact5.0

Composite 6.4/10 (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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time606ms−50ms
first ⅓ avg 656ms → last ⅓ avg 606ms
Headshot accuracy14.9%−2.0%
first ⅓ avg 16.9% → last ⅓ avg 14.9%

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

0.25Best match rating · 13–3 · inferno, 28 Jun →
33%Best headshot accuracy · 2–13 · dust2, 20 May →
469msFastest reaction time · 2–13 · boulder, 12 Jul →
13–0Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 78% over 9dust2Weakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB157–847%0.03
cacheB157–847%0.05
dust2D143–1121%0.02
officeB105–550%0.01
overpassA95–456%0.03
vertigoS97–278%0.06
mirageA74–357%0.05
nukeB63–350%-0.01
anubis—42–250%0.01
train—32–167%0.00
shelter—21–150%-0.01
debris—11–0100%-0.09
boulder—10–10%0.01
fachwerk—11–0100%0.05
italy—11–0100%0.07
sanctum—10–10%-0.10
poseidon—11–0100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,499Lifetime kills
1.12K/D · Top 50% of Level 5 players
1,508Matches
46.5%Match win rate · Top 50% of Level 5 players
38.6%Headshot %
5.1%Shot accuracy
3,280MVPs
690Hours (in match)
1,717Bombs planted
385Bombs defused

Most-used weapons

Lifetime map wins

2,595inferno
1,336nuke
883vertigo
840dust2
527office
164train
47italy
8safehouse

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

Faceit stats

Combat

10Matches
60%Win rate
1.36Avg K/D
94.1ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
22%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno450%1.5018.0
Mirage367%1.3022.7
Ancient2100%1.4019.5
Dust210%0.8815.0

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.

15.3%Headshot accuracy
34.6%Accuracy (enemy spotted)
34.3%Spray accuracy
81.8%Counter-strafing
9.1°Preaim
607msReaction time
49.5%T opening success
47.1%CT opening success
0.69Enemies flashed / flash
7.1%Flash assists
14.00HE damage / grenade
5.47Flashes / match

Recommended for you

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.

21% win rate across 14 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
overpass4–13-0.130%8 Oct →
office13–9-0.0615%25 Sept →
vertigo13–40.019%25 Sept →
overpass3–130.0610%20 Sept →
debris9–6-0.0913%11 Sept →
vertigo13–40.149%25 Aug →
overpass13–70.0410%4 Aug →
nuke2–13-0.0314%3 Aug →
dust213–80.0821%3 Aug →
inferno9–13-0.0726%2 Aug →
cache11–130.1418%25 Jul →
dust210–13-0.0617%15 Jul →
shelter12–120.0122%15 Jul →
shelter13–10-0.0322%13 Jul →
boulder2–130.0121%12 Jul →
inferno3–13-0.098%12 Jul →
fachwerk13–90.0519%9 Jul →
vertigo13–70.0413%5 Jul →
inferno13–60.0321%30 Jun →
overpass6–130.006%30 Jun →
italy13–110.078%30 Jun →
vertigo8–130.0312%29 Jun →
cache7–130.1113%29 Jun →
inferno13–50.1427%29 Jun →
office12–120.0414%28 Jun →
inferno13–30.2527%28 Jun →
overpass13–60.1617%28 Jun →
cache4–130.0716%24 Jun →
dust29–130.0516%24 Jun →
vertigo13–20.0810%23 Jun →
dust211–130.0411%23 Jun →
office2–13-0.026%22 Jun →
mirage9–130.1119%22 Jun →
dust213–20.1716%15 Jun →
mirage13–80.1719%15 Jun →
office6–13-0.1122%11 Jun →
mirage13–4-0.0117%11 Jun →
mirage13–80.0311%11 Jun →
inferno6–130.0318%11 Jun →
overpass9–3-0.0314%11 Jun →
vertigo9–40.1916%11 Jun →
cache13–80.0429%11 Jun →
vertigo13–90.0920%7 Jun →
inferno13–80.0517%2 Jun →
dust210–13-0.029%2 Jun →
overpass13–50.1224%2 Jun →
anubis15–15-0.0420%2 Jun →
anubis9–130.0418%2 Jun →
inferno12–120.0714%1 Jun →
inferno8–13-0.0023%1 Jun →
inferno13–50.0613%1 Jun →
nuke13–6-0.0113%1 Jun →
mirage9–130.0116%31 May →
anubis13–80.0112%31 May →
train13–70.0313%26 May →
office13–30.1815%25 May →
cache13–80.1617%25 May →
office7–13-0.0812%21 May →
dust22–13-0.0833%20 May →
inferno13–60.059%20 May →
nuke6–13-0.0224%19 May →
nuke5–13-0.0722%14 May →
office13–10-0.0614%14 May →
vertigo5–13-0.068%14 May →
nuke13–110.0117%13 May →
train13–6-0.0115%12 May →
cache5–90.018%11 May →
cache11–130.0119%10 May →
cache13–60.0523%7 May →
overpass13–8-0.016%6 May →
inferno13–9-0.0117%6 May →
cache6–13-0.0219%6 May →
cache13–100.036%6 May →
cache13–80.0620%4 May →
dust28–13-0.0724%4 May →
dust24–13-0.0321%30 Apr →
mirage13–90.097%30 Apr →
nuke8–00.0710%30 Apr →
anubis13–90.019%30 Apr →
cache13–40.0522%30 Apr →
cache6–13-0.0218%29 Apr →
cache13–00.0318%29 Apr →
cache7–130.0120%29 Apr →
dust25–130.0219%28 Apr →
office13–100.0130%28 Apr →
inferno10–13-0.0211%27 Apr →
vertigo13–110.0313%27 Apr →
office13–50.1812%27 Apr →
dust213–50.0816%27 Apr →
dust29–130.0421%26 Apr →
office11–130.0316%23 Apr →
dust28–13-0.0421%23 Apr →
mirage5–13-0.0813%21 Apr →
inferno8–130.008%16 Apr →
dust212–120.0425%16 Apr →
overpass12–120.0319%16 Apr →
sanctum3–9-0.100%13 Apr →
poseidon9–40.1129%13 Apr →
inferno8–13-0.0120%13 Apr →
train12–12-0.0127%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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