NeDo

NeDo — CS2 Stats

NE76561198014858982[U:1:54593254]Steam profile ↗✓ No bans

1,914Tracked matches37%Win rate2020Tracked since
3,446Hours in CS27Hrs last 2 wks
CSDB Rating6.4 SolidAll-Rounder
FaceitLevel 10 · 2,622 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,622 → 2,622
+81Tracked matches · now 1,914
−6.7ppWin rate · 43.3% → 36.7%

Rating over time

Premier CS Rating: 24,999 +250 21 Apr – 4 Jul · 4 days played
24,68725,502peak 25,50221 Apr4 Jul
25,502Peak Premier in tracked matches
2,622Highest Faceit ELO seen on CSDB
73Days played since 2025-04-18

Faceit ELO

  • At peak — 2,622
  • Next: 3,000 ELO at 3,000 — 378 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-03
  • Level 10 first seen 2026-09-03

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate49.5%50.9%
Shot accuracy14.0%13.7%
Kill/death ratio1.171.09
Match win rate53.4%48.4%

Share this profile

CSDB.GGNeDoFACEITLevel 10 · 2,622 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,622csdb.gg/stats

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Performance scores

Aim83
Positioning67
Utility67

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLLLLWLLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −3.4pp headshot accuracy · −28ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 503ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 477ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 491ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.3
Utility6.7
Positioning6.7
Opening Duels6.0
Clutch4.8

Strong CT-side openerEffective flashes

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

device

Plays most like device 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 65% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning6.7
Utility6.7
Mechanics6.4
Opening Duels4.5
Win Impact0.6

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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time504ms−59ms
first ⅓ avg 563ms → last ⅓ avg 504ms
Headshot accuracy19.5%+0.1%
first ⅓ avg 19.4% → last ⅓ avg 19.5%

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

0.21Best match rating · 13–2 · inferno, 13 Mar →
43%Best headshot accuracy · 13–5 · vertigo, 30 Sept →
359msFastest reaction time · 4–13 · ancient, 25 Sept →
13–2Biggest win · inferno, 13 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
14–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 71% over 17ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%0.00
nukeC219–1243%0.01
infernoB2110–1148%0.01
mirageS1712–571%0.01
ancientD70–70%-0.00
train—41–325%-0.01
vertigo—33–0100%0.06
overpass—21–150%-0.01
cache—11–0100%0.02
cache_b—11–0100%0.05
anubis—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,732Lifetime kills
1.17K/D · Top 50% of Level 10 players
3,327Matches
53.4%Match win rate · Top 25% of Level 10 players
49.5%Headshot %
14.0%Shot accuracy · Top 50% of Level 10 players
12,173MVPs
1,540Hours (in match)
3,148Bombs planted
1,479Bombs defused

Most-used weapons

AK-4728,242
AWP6,344
Knife3,082
MAC-102,591
XM10142,008

Lifetime map wins

10,733inferno
7,312nuke
6,400dust2
4,068vertigo
1,578train
590cbble
504shorttrain
207italy

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

Faceit stats

Combat

2,036Matches
55%Win rate
1.24Avg K/D
97.7ADR
48%Headshot %

Clutches & streaks

44%1v1 clutch win
32%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke20758%1.3119.4
Dust220552%1.1618.4
Inferno18260%1.2519.7
Mirage14149%1.0918.0
Ancient7154%1.2720.3
Vertigo7067%1.6222.8
Train4860%1.1217.1
Anubis4060%1.2819.9

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.

19.4%Headshot accuracy
38.0%Accuracy (enemy spotted)
42.3%Spray accuracy
78.8%Counter-strafing
10.2°Preaim
502msReaction time
31.0%T opening success
65.3%CT opening success
0.77Enemies flashed / flash
17.6%Flash assists
10.79HE damage / grenade
9.24Flashes / 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 30.9779% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0113%10 Oct →
ancient12–160.0516%9 Oct →
dust25–13-0.0125%6 Oct →
inferno4–13-0.0514%2 Oct →
vertigo13–50.0643%30 Sept →
ancient4–13-0.0310%25 Sept →
dust26–130.0112%19 Sept →
dust27–130.0518%18 Sept →
vertigo13–110.0321%30 Aug →
ancient6–13-0.069%29 Aug →
cache13–110.0212%21 Aug →
ancient10–13-0.0114%21 Aug →
nuke13–50.0116%21 Aug →
mirage13–30.1035%3 Jul →
dust22–13-0.0319%3 Jul →
nuke11–130.0723%2 Jul →
inferno8–130.0023%28 Jun →
inferno13–160.0117%13 Jun →
mirage13–60.0931%13 Jun →
nuke11–130.0325%5 Jun →
dust28–13-0.069%5 Jun →
mirage13–80.0331%22 May →
nuke13–11-0.0225%22 May →
dust25–13-0.0223%5 May →
dust213–9-0.0414%30 Mar →
inferno13–20.2121%13 Mar →
nuke5–130.0719%13 Mar →
mirage19–17-0.0020%13 Mar →
nuke5–13-0.0211%13 Mar →
inferno11–13-0.0120%11 Mar →
dust213–11-0.0127%10 Mar →
mirage8–13-0.0714%9 Mar →
inferno13–100.0317%1 Feb →
mirage13–16-0.0121%31 Jan →
mirage13–50.0024%30 Jan →
nuke17–19-0.0313%29 Jan →
inferno8–130.0119%21 Jan →
mirage7–13-0.0718%21 Jan →
inferno25–220.0022%8 Jan →
dust215–150.0315%4 Jan →
mirage13–11-0.0221%30 Dec →
dust25–13-0.0120%28 Dec →
mirage13–110.0116%28 Dec →
dust211–130.0216%28 Dec →
dust213–90.0221%18 Dec →
ancient7–130.0428%14 Dec →
mirage13–60.0815%14 Dec →
ancient11–130.0411%13 Dec →
cache_b13–70.0515%13 Dec →
vertigo13–80.0819%13 Dec →
inferno13–110.0118%13 Dec →
inferno13–11-0.0422%11 Dec →
train11–130.0126%10 Dec →
nuke13–30.1918%5 Dec →
overpass9–13-0.0115%12 Nov →
dust213–30.1824%10 Nov →
overpass13–40.0024%7 Nov →
inferno5–130.0116%25 Oct →
dust29–13-0.0714%25 Jul →
inferno13–100.0121%14 Jul →
anubis13–9-0.0316%12 Jul →
dust27–13-0.038%12 Jul →
inferno13–80.0522%12 Jul →
nuke14–16-0.0123%10 Jul →
dust213–50.0119%4 Jul →
dust213–8-0.0223%2 Jul →
mirage13–10-0.0317%27 Jun →
ancient9–13-0.0636%25 Jun →
dust213–110.0120%18 Jun →
dust213–70.0516%17 Jun →
nuke13–10-0.0417%17 Jun →
nuke13–90.069%11 Jun →
mirage8–130.0114%4 Jun →
nuke5–13-0.0323%4 Jun →
nuke11–13-0.0117%1 Jun →
nuke16–130.0318%30 May →
dust25–130.0315%30 May →
inferno13–70.0218%28 May →
mirage13–110.0415%25 May →
nuke9–13-0.0024%23 May →
nuke16–140.0110%23 May →
inferno7–13-0.0135%21 May →
dust29–130.0119%18 May →
inferno8–13-0.0612%13 May →
mirage13–60.0225%10 May →
train8–13-0.0215%9 May →
dust213–3-0.0324%9 May →
inferno13–20.1424%7 May →
inferno5–13-0.0021%30 Apr →
inferno19–160.0312%27 Apr →
inferno11–13-0.0119%26 Apr →
train6–130.0015%25 Apr →
mirage8–130.0516%24 Apr →
nuke4–13-0.0523%24 Apr →
mirage13–11-0.0411%21 Apr →
nuke8–13-0.0417%19 Apr →
inferno9–13-0.0620%19 Apr →
nuke13–70.0526%19 Apr →
nuke13–11-0.0531%18 Apr →
train13–9-0.0223%18 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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