Ne®o™

Ne®o™ — CS2 Stats

DE76561198032864720[U:1:72598992]Steam profile ↗✓ No bans

2,323Tracked matches52%Win rate2023Tracked since
4,415Hours in CS0Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating19,976Top 50% of 212,133 CSDB-tracked playersPurple band · top ~8.6% of ranked players (population est.)
CSDB Leaderboard#86269 of 258973 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (32 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: 19,976 +475 22 Jul – 29 Sept · 34 days played
18,89222,745peak 22,74522 Jul29 Sept
22,991Peak Premier in tracked matches
35Days played since 2026-07-22

Premier CS Rating

  • 2,769 below peak (22,745)
  • -23 over 30 days · steady
  • Next: Pink band at 20,000 — 24 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate54.0%44.4%46.9%above
Shot accuracy8.0%11.9%13.0%5.0% short
Kill/death ratio1.641.031.08above
Match win rate49.2%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGNe®o™PREMIER19,976 · Purple 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

Aim87
Positioning72
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateWLLWWLWWLW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −7.9pp headshot accuracy · +56ms reaction

Win rate up 30pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 531ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 557ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 529ms

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).

Aim8.7
Utility6.7
Positioning7.2
Opening Duels4.7
Clutch3.8

Sharp aimerExcellent counter-strafingStrong T-side opener

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 91% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 41% on CT — first contacts on the defending side are being lost.

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

Aim8.7
Positioning7.2
Utility6.7
Mechanics8.7
Opening Duels5.3
Win Impact5.6

Composite 7.5/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time532ms−54ms
first ⅓ avg 586ms → last ⅓ avg 532ms
Headshot accuracy18.0%−0.1%
first ⅓ avg 18.0% → last ⅓ avg 18.0%

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

0.15Best match rating · 13–2 · nuke, 4 Aug →
32%Best headshot accuracy · 0–13 · dust2, 19 Sept →
391msFastest reaction time · 13–6 · nuke, 16 Sept →
13–2Biggest win · nuke, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 60% over 10mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2813–1546%0.01
infernoB209–1145%-0.00
nukeB1910–953%0.03
anubisA106–460%0.02
ancientD93–633%0.01
cacheD82–625%0.00
mirageD50–50%-0.02
overpass—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,159Lifetime kills
1.64K/D · Top 5% of Purple band
5,960Matches
49.2%Match win rate · Top 25% of Purple band
54.0%Headshot % · Top 25% of Purple band
8.0%Shot accuracy
11,647MVPs
2,358Hours (in match)
6,086Bombs planted
1,338Bombs defused

Most-used weapons

AK-4781,481
AWP15,483
MP75,614
P2503,111
MP91,940

Lifetime map wins

21,254dust2
6,821inferno
4,485nuke
1,775vertigo
631train
281office
88cbble
35italy

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

Faceit stats

Combat

100Matches
58%Win rate
1.24Avg K/D
90.5ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
36%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust23959%1.3517.9
Inferno2255%1.2021.2
Anubis1861%1.1115.7
Ancient850%1.1019.0
Nuke683%1.2116.8
Mirage540%1.2517.2
Vertigo1100%2.0825.0
Cache10%0.436.0

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.

18.2%Headshot accuracy
39.0%Accuracy (enemy spotted)
40.3%Spray accuracy
89.1%Counter-strafing
9.6°Preaim
531msReaction time
61.8%T opening success
40.9%CT opening success
0.56Enemies flashed / flash
8.8%Flash assists
13.23HE damage / grenade
10.89Flashes / match

Recommended for you

Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.1116%29 Sept →
nuke7–130.0417%27 Sept →
cache7–130.0312%27 Sept →
nuke13–80.0211%27 Sept →
nuke13–60.0315%23 Sept →
inferno5–13-0.0222%23 Sept →
inferno13–6-0.0120%22 Sept →
dust213–10-0.0221%21 Sept →
ancient5–13-0.0212%21 Sept →
ancient13–70.0218%21 Sept →
dust20–13-0.0232%19 Sept →
anubis13–100.0725%19 Sept →
inferno13–100.0031%18 Sept →
ancient11–130.0514%18 Sept →
inferno15–150.0321%18 Sept →
anubis10–13-0.0310%17 Sept →
nuke10–130.0329%17 Sept →
inferno5–13-0.0127%16 Sept →
nuke13–60.1329%16 Sept →
inferno11–13-0.0727%16 Sept →
dust211–130.088%15 Sept →
inferno13–70.0817%15 Sept →
dust29–13-0.0616%12 Sept →
dust213–110.0914%28 Aug →
overpass6–10.026%27 Aug →
dust27–130.0112%22 Aug →
anubis13–7-0.0017%17 Aug →
anubis13–110.0814%17 Aug →
anubis4–13-0.044%16 Aug →
dust213–70.0426%16 Aug →
cache9–130.0718%15 Aug →
dust213–160.0218%15 Aug →
dust213–90.0217%15 Aug →
inferno11–13-0.0121%15 Aug →
ancient15–150.1117%15 Aug →
nuke13–110.049%14 Aug →
dust213–40.0315%14 Aug →
ancient5–13-0.007%13 Aug →
inferno10–13-0.0323%13 Aug →
inferno9–130.0113%12 Aug →
anubis12–160.0011%12 Aug →
nuke8–130.0015%10 Aug →
anubis13–70.0619%10 Aug →
inferno10–130.0224%9 Aug →
dust214–16-0.0519%9 Aug →
mirage8–13-0.0216%9 Aug →
nuke13–10-0.0313%6 Aug →
dust213–100.0120%6 Aug →
anubis4–13-0.0523%6 Aug →
inferno16–130.0115%5 Aug →
inferno13–30.0222%5 Aug →
inferno13–90.0614%5 Aug →
dust23–13-0.0417%4 Aug →
mirage1–13-0.0223%4 Aug →
nuke13–90.006%4 Aug →
dust210–130.009%4 Aug →
nuke13–20.1520%4 Aug →
nuke8–130.0126%3 Aug →
ancient13–110.0414%3 Aug →
dust215–15-0.0110%3 Aug →
dust23–13-0.0221%2 Aug →
dust213–60.0328%2 Aug →
anubis13–40.0918%2 Aug →
dust213–9-0.0110%2 Aug →
ancient5–13-0.0717%2 Aug →
dust216–120.1520%2 Aug →
nuke6–13-0.0713%2 Aug →
cache9–13-0.0023%1 Aug →
dust21–13-0.0518%1 Aug →
dust26–130.0720%1 Aug →
mirage8–13-0.0318%31 Jul →
mirage11–130.0123%31 Jul →
cache6–13-0.0723%31 Jul →
ancient15–15-0.029%31 Jul →
dust213–10-0.0229%31 Jul →
dust26–13-0.0213%31 Jul →
inferno3–13-0.0521%31 Jul →
nuke6–13-0.0313%30 Jul →
nuke11–130.0719%30 Jul →
inferno7–13-0.0412%27 Jul →
anubis13–110.024%27 Jul →
dust211–130.0826%27 Jul →
cache9–13-0.0323%25 Jul →
mirage13–16-0.0410%25 Jul →
cache13–40.0416%25 Jul →
inferno16–130.0624%25 Jul →
dust213–50.0316%24 Jul →
nuke15–15-0.0515%24 Jul →
ancient13–80.0311%24 Jul →
inferno13–8-0.0322%24 Jul →
cache8–13-0.0214%24 Jul →
nuke13–20.1023%24 Jul →
inferno13–7-0.0324%24 Jul →
dust213–30.0420%24 Jul →
dust213–11-0.0222%23 Jul →
cache13–90.0116%23 Jul →
nuke9–130.0323%22 Jul →
inferno8–130.0117%22 Jul →
nuke13–40.0017%22 Jul →
dust211–130.0113%22 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.