nero

nero — CS2 Stats

76561198161448436[U:1:201182708]Steam profile ↗✓ No bans

1,164Tracked matches53%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating20,410Top 50% of 213,399 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#78046 of 259984 tracked
FaceitLevel 8 · 1,769 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 20,410 +410 1 Sept – 4 Nov · 26 days played
19,19421,133peak 21,1331 Sept4 Nov
21,241Peak Premier in tracked matches
1,769Highest Faceit ELO seen on CSDB
35Days played since 2026-08-30

Faceit ELO

  • At peak — 1,769
  • Next: Level 10 at 2,001 — 232 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier CS Rating

  • 723 below peak (21,133)
  • +108 over 30 days · steady
  • Next: Red band at 25,000 — 4,590 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGneroFACEITLevel 8 · 1,769 ELOSTANDINGTop 31.2% of rankedPREMIER20,410 · Pink bandPEAK ELO1,769csdb.gg/stats

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Performance scores

Aim90
Positioning59
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWWLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −24ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 575ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 538ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 550ms

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 against its own average).

Aim9.0
Utility4.3
Positioning5.9
Opening Duels4.6
Clutch4.8

Sharp aimerLimited 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

donk

Plays most like donk 92% playstyle similarity

Most alike: aim profile, utility contribution.

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

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning5.9
Utility4.3
Mechanics6.6
Opening Duels5.0
Win Impact6.1

Composite 6.8/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time549ms+12ms
first ⅓ avg 538ms → last ⅓ avg 549ms
Headshot accuracy25.9%+3.4%
first ⅓ avg 22.4% → last ⅓ avg 25.9%

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

0.18Best match rating · 7–0 · ancient, 5 Sept →
53%Best headshot accuracy · 2–13 · office, 31 Oct →
344msFastest reaction time · 13–5 · inferno, 4 Oct →
13–2Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 64% over 25anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2516–964%0.01
dust2C198–1142%0.00
nukeA127–558%0.00
infernoB126–650%0.01
cacheC94–544%0.02
anubisD92–722%0.02
ancientD93–633%0.01
office—41–325%-0.01
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

495Matches
52%Win rate
1.06Avg K/D
81.1ADR
50%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14453%1.1016.8
Anubis6356%1.0917.8
Ancient5937%1.0417.3
Dust24852%1.0515.4
Inferno4260%1.0817.1
Nuke2959%1.0316.8
Cache1457%1.0415.1
Vertigo825%1.1224.9

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.

25.1%Headshot accuracy
39.0%Accuracy (enemy spotted)
43.7%Spray accuracy
79.7%Counter-strafing
8.1°Preaim
549msReaction time
44.6%T opening success
55.2%CT opening success
0.45Enemies flashed / flash
8.1%Flash assists
9.35HE damage / grenade
4.82Flashes / 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. 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 0.4499 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0427%4 Nov →
nuke13–4-0.0132%4 Nov →
mirage13–60.0314%4 Nov →
dust28–130.0617%2 Nov →
cache7–0-0.0017%2 Nov →
cache9–13-0.0228%2 Nov →
office2–13-0.1153%31 Oct →
dust213–5-0.0224%31 Oct →
nuke13–70.1120%31 Oct →
inferno13–110.0320%30 Oct →
cache16–120.0520%30 Oct →
inferno2–13-0.0527%29 Oct →
mirage13–50.0525%29 Oct →
anubis10–130.0226%27 Oct →
cache2–13-0.0152%27 Oct →
anubis13–80.1315%27 Oct →
dust213–70.0327%25 Oct →
inferno9–13-0.0117%25 Oct →
nuke10–130.0228%23 Oct →
ancient13–70.0114%23 Oct →
inferno6–13-0.0935%23 Oct →
dust213–40.0214%21 Oct →
dust213–90.0530%21 Oct →
nuke8–13-0.0624%21 Oct →
nuke13–5-0.0330%21 Oct →
anubis5–90.0339%21 Oct →
dust24–130.0316%19 Oct →
nuke13–70.0227%19 Oct →
inferno13–90.0427%19 Oct →
ancient11–130.0224%19 Oct →
anubis10–130.0112%13 Oct →
dust28–13-0.0429%13 Oct →
office11–130.0246%10 Oct →
office10–50.1328%10 Oct →
cache15–150.0221%8 Oct →
cache7–130.0236%8 Oct →
dust29–20.0523%8 Oct →
dust26–13-0.0718%8 Oct →
mirage13–30.0513%8 Oct →
nuke10–13-0.0119%4 Oct →
mirage13–20.0829%4 Oct →
inferno13–5-0.0134%4 Oct →
mirage13–70.0318%4 Oct →
mirage13–90.0429%4 Oct →
nuke7–13-0.0228%3 Oct →
vertigo3–13-0.0127%3 Oct →
cache6–130.0227%1 Oct →
nuke13–60.0226%1 Oct →
mirage13–6-0.0237%1 Oct →
mirage13–100.0330%29 Sept →
dust213–6-0.0117%28 Sept →
dust211–130.0317%25 Sept →
nuke13–60.0115%25 Sept →
anubis11–130.0114%25 Sept →
nuke6–13-0.0533%24 Sept →
ancient1–13-0.1012%24 Sept →
mirage13–50.029%24 Sept →
mirage22–200.0223%22 Sept →
ancient10–13-0.0428%22 Sept →
mirage9–13-0.087%18 Sept →
mirage2–13-0.0817%18 Sept →
mirage1–13-0.0717%18 Sept →
dust29–13-0.1117%18 Sept →
dust28–13-0.0528%18 Sept →
office11–13-0.0738%13 Sept →
mirage13–20.0929%13 Sept →
mirage11–13-0.0222%13 Sept →
anubis13–2-0.0010%13 Sept →
ancient7–13-0.0312%13 Sept →
dust211–130.0017%13 Sept →
dust213–70.0122%12 Sept →
mirage11–13-0.0129%12 Sept →
mirage13–80.0425%10 Sept →
ancient13–60.1120%10 Sept →
cache13–90.0717%10 Sept →
mirage7–13-0.0231%9 Sept →
nuke13–80.0114%9 Sept →
dust26–130.0635%8 Sept →
anubis0–60.0119%8 Sept →
inferno14–160.0411%8 Sept →
inferno15–150.0230%8 Sept →
mirage7–130.0824%7 Sept →
ancient10–13-0.0317%7 Sept →
inferno4–120.0125%6 Sept →
mirage2–100.0015%6 Sept →
dust213–50.0327%6 Sept →
ancient10–13-0.077%6 Sept →
ancient7–00.1824%5 Sept →
mirage13–40.0141%5 Sept →
inferno13–40.0319%5 Sept →
inferno13–80.0318%5 Sept →
mirage13–80.0527%4 Sept →
mirage11–13-0.0339%3 Sept →
mirage13–50.0530%2 Sept →
cache13–90.0326%2 Sept →
dust27–130.0628%1 Sept →
inferno9–30.1121%1 Sept →
anubis8–13-0.0521%1 Sept →
mirage13–100.0422%1 Sept →
anubis10–130.0020%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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