Nero

Nero — CS2 Stats

76561198873359767[U:1:913094039]Steam profile ↗✓ No bans

2,368Tracked matches52%Win rate2021Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating16,783Purple band · top ~21.3% of ranked players (population est.)
FaceitLevel 5 · 1,185 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 16,783 -1,454 5 Jul – 1 Oct · 24 days played
15,65418,237peak 18,2375 Jul1 Oct
Faceit ELO: 1,185 +0 4 Sept – 6 Sept · 2 observations
1,1851,185peak 1,1854 Sept6 Sept
18,314Peak Premier in tracked matches
1,185Highest Faceit ELO seen on CSDB
33Days played since 2026-07-05

Faceit ELO

  • At peak — 1,185
  • Next: Level 6 at 1,201 — 16 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-04
  • Level 4 first seen 2026-09-04

Premier CS Rating

  • 1,454 below peak (18,237)
  • +286 over 30 days · steady
  • -1,454 over 90 days
  • Next: Pink band at 20,000 — 3,217 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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.GGNeroFACEITLevel 5 · 1,185 ELOSTANDINGTop 67.6% of rankedPREMIER16,783 · Purple bandPEAK ELO1,185csdb.gg/stats

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Performance scores

Aim59
Positioning51
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWWLWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · −66ms reaction

Win rate down 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 -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 656ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 654ms

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 (+1.8 against its own average).

Aim5.9
Utility6.1
Positioning5.1
Opening Duels2.2
Clutch3.6

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 76% 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. 657ms 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

Aim5.9
Positioning5.1
Utility6.1
Mechanics7.7
Opening Duels1.4
Win Impact5.6

Composite 5.6/10 (Solid), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time655ms−28ms
first ⅓ avg 683ms → last ⅓ avg 655ms
Headshot accuracy18.2%−0.7%
first ⅓ avg 18.9% → last ⅓ avg 18.2%

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

0.07Best match rating · 8–0 · dust2, 7 Jul →
67%Best headshot accuracy · 4–2 · anubis, 10 Jul →
438msFastest reaction time · 10–13 · dust2, 18 Jul →
13–2Biggest win · dust2, 25 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 54% over 13infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B4423–2152%-0.01
nukeD186–1233%0.00
cacheB137–654%-0.03
ancientC114–736%-0.03
infernoD82–625%-0.03
mirage—31–233%-0.03
anubis—11–0100%0.07
italy—10–10%0.01
train—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

95Matches
51%Win rate
1.04Avg K/D
78.3ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22770%1.0715.3
Anubis1050%0.9612.3
Ancient1030%1.0616.4
Nuke771%1.4317.0
Mirage729%0.9314.0
Inferno714%0.8611.9
Train650%1.2614.3
Overpass3100%1.1820.7

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.

18.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
32.2%Spray accuracy
84.5%Counter-strafing
11.1°Preaim
657msReaction time
26.6%T opening success
41.3%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
11.69HE damage / grenade
10.95Flashes / 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 26.5984% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0525%1 Oct →
dust213–40.0311%1 Oct →
cache13–9-0.0219%1 Oct →
nuke14–16-0.0513%10 Sept →
ancient13–7-0.0113%10 Sept →
dust213–90.0211%7 Sept →
dust29–13-0.0431%7 Sept →
nuke8–13-0.0328%1 Sept →
inferno5–13-0.0812%28 Aug →
nuke3–13-0.0421%28 Aug →
nuke11–13-0.0318%27 Aug →
dust213–40.0318%27 Aug →
dust213–20.0212%25 Aug →
cache13–4-0.0328%25 Aug →
dust26–13-0.0819%23 Aug →
nuke7–130.0620%23 Aug →
nuke8–13-0.0027%23 Aug →
inferno13–6-0.0227%23 Aug →
cache13–40.0122%23 Aug →
ancient13–9-0.0121%23 Aug →
cache5–13-0.0323%23 Aug →
dust213–30.0613%23 Aug →
mirage6–13-0.0712%17 Aug →
ancient13–7-0.079%17 Aug →
dust211–13-0.0818%17 Aug →
ancient15–15-0.0612%16 Aug →
nuke16–13-0.0321%16 Aug →
dust213–70.0516%16 Aug →
dust213–6-0.0320%15 Aug →
inferno6–13-0.0118%15 Aug →
inferno13–11-0.0518%15 Aug →
dust216–130.0417%14 Aug →
cache7–13-0.059%14 Aug →
nuke13–80.0513%13 Aug →
mirage6–13-0.0119%13 Aug →
ancient3–13-0.0118%10 Aug →
inferno10–130.0117%10 Aug →
dust213–100.0220%9 Aug →
dust25–13-0.0119%9 Aug →
inferno11–130.0122%9 Aug →
dust213–8-0.0011%4 Aug →
ancient15–150.0420%4 Aug →
nuke8–130.0129%30 Jul →
dust23–13-0.0117%30 Jul →
dust213–100.0427%30 Jul →
nuke13–11-0.0127%30 Jul →
nuke7–90.0526%30 Jul →
dust213–110.0113%28 Jul →
nuke13–70.0226%28 Jul →
dust213–50.0234%27 Jul →
dust213–6-0.058%27 Jul →
dust213–5-0.0012%27 Jul →
ancient9–13-0.0222%27 Jul →
cache3–13-0.069%26 Jul →
dust211–13-0.0424%26 Jul →
ancient6–130.029%26 Jul →
dust25–13-0.0522%26 Jul →
nuke9–13-0.0324%26 Jul →
ancient13–100.0019%26 Jul →
dust28–13-0.0112%26 Jul →
dust213–90.0320%26 Jul →
inferno5–9-0.078%26 Jul →
cache13–8-0.0515%22 Jul →
ancient8–13-0.0722%22 Jul →
dust216–120.0727%22 Jul →
nuke8–13-0.0418%22 Jul →
cache4–13-0.0816%21 Jul →
ancient11–13-0.0910%21 Jul →
cache9–13-0.0313%21 Jul →
inferno0–7-0.0550%20 Jul →
nuke8–130.0211%20 Jul →
dust210–13-0.0910%18 Jul →
dust29–13-0.0729%18 Jul →
dust27–130.0015%18 Jul →
dust213–50.0416%15 Jul →
dust213–8-0.049%15 Jul →
dust25–13-0.0526%14 Jul →
cache6–13-0.077%14 Jul →
dust213–9-0.0216%14 Jul →
cache13–90.0213%13 Jul →
dust211–130.0210%13 Jul →
dust210–130.0126%12 Jul →
nuke13–90.0522%12 Jul →
cache13–40.0012%10 Jul →
anubis4–20.0767%10 Jul →
dust27–13-0.0811%10 Jul →
nuke13–40.0112%9 Jul →
nuke8–80.0220%9 Jul →
dust212–12-0.0116%7 Jul →
italy3–130.0133%7 Jul →
dust28–00.0727%7 Jul →
train5–13-0.0118%7 Jul →
dust26–13-0.0323%7 Jul →
dust213–10-0.0312%7 Jul →
dust213–10-0.0217%7 Jul →
dust20–13-0.0417%7 Jul →
mirage13–110.0019%7 Jul →
cache13–50.0514%7 Jul →
dust211–13-0.0611%6 Jul →
dust211–13-0.0211%5 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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