N3o

N3o — CS2 Stats

DE76561198066660494[U:1:106394766]Steam profile ↗✓ No bans

682Tracked matches63%Win rate2021Tracked since
1,623Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating15,933Purple band · top ~24.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (4 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: 15,933 +5,158 18 May – 27 Sept · 33 days played
10,00016,025peak 16,02518 May27 Sept
16,376Peak Premier in tracked matches
39Days played since 2026-05-18

Premier CS Rating

  • 92 below peak (16,025)
  • +3,763 over 90 days
  • Next: Pink band at 20,000 — 4,067 to go
  • Reached: 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 4 among CSDB-tracked players (n=13,989), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.9%42.7%43.8%3.9% short
Shot accuracy11.3%11.3%12.0%0.7% short
Kill/death ratio1.020.991.02meets
Match win rate47.1%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGN3oFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,933 · 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

Aim50
Positioning44
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLWLWWLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −3.8pp 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). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 638ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 642ms

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 (+2.4 against its own average).

Aim5.0
Utility5.7
Positioning4.4
Opening Duels1.9
Clutch1.0

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

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. 644ms 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

Aim5.0
Positioning4.4
Utility5.7
Mechanics6.0
Opening Duels1.7
Win Impact9.4

Composite 5.2/10 (Developing), 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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time641ms−28ms
first ⅓ avg 669ms → last ⅓ avg 641ms
Headshot accuracy16.2%−1.3%
first ⅓ avg 17.5% → last ⅓ avg 16.2%

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

0.11Best match rating · 13–6 · cache, 7 Sept →
40%Best headshot accuracy · 4–13 · inferno, 9 Jul →
438msFastest reaction time · 7–13 · ancient, 7 Sept →
13–1Biggest win · inferno, 31 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 68% over 22mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS2215–768%0.02
infernoA1710–759%-0.00
ancientC167–944%0.00
anubisC146–843%-0.01
dust2C125–742%-0.01
mirageD71–614%-0.00
cacheB63–350%0.03
overpassD62–433%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,140Lifetime kills
1.02K/D · Top 50% of Level 4 players
2,066Matches
47.1%Match win rate · Top 25% of Level 4 players
39.9%Headshot %
11.3%Shot accuracy · Top 50% of Level 4 players
4,865MVPs
995Hours (in match)
2,697Bombs planted
474Bombs defused

Most-used weapons

Lifetime map wins

5,224inferno
2,943dust2
2,801nuke
654cbble
453vertigo
403train
48office
42lake

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

Faceit stats

Combat

92Matches
54%Win rate
1.12Avg K/D
94.1ADR
45%Headshot %

Clutches & streaks

25%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2962%1.0416.8
Nuke2564%1.2517.4
Ancient1926%1.0715.5
Anubis683%1.0115.2
Mirage540%1.0819.8
Train540%1.3419.0
Overpass2100%1.0821.5
Dust210%0.6511.0

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.

16.5%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.4%Spray accuracy
77.1%Counter-strafing
11.7°Preaim
644msReaction time
33.0%T opening success
40.9%CT opening success
0.52Enemies flashed / flash
3.0%Flash assists
12.70HE damage / grenade
8.79Flashes / 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 32.9949% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0615%27 Sept →
inferno13–50.0714%27 Sept →
ancient7–130.0815%7 Sept →
inferno13–6-0.025%7 Sept →
anubis7–13-0.055%7 Sept →
cache13–60.1117%7 Sept →
nuke16–12-0.0216%20 Aug →
ancient8–13-0.0416%12 Aug →
mirage10–13-0.0024%12 Aug →
nuke9–130.0117%12 Aug →
nuke13–2-0.037%12 Aug →
dust216–12-0.0122%11 Aug →
anubis13–110.028%11 Aug →
ancient13–40.0316%11 Aug →
dust22–130.0038%11 Aug →
ancient5–13-0.0320%11 Aug →
mirage3–13-0.0223%29 Jul →
anubis16–140.0116%29 Jul →
nuke13–5-0.0519%29 Jul →
mirage5–13-0.0515%29 Jul →
ancient13–90.0218%26 Jul →
nuke16–13-0.089%21 Jul →
cache13–100.0318%21 Jul →
ancient16–130.0617%15 Jul →
inferno13–11-0.0027%15 Jul →
nuke13–50.018%15 Jul →
cache13–110.0116%15 Jul →
nuke13–100.0715%13 Jul →
nuke13–70.0319%13 Jul →
dust26–13-0.0921%13 Jul →
inferno13–9-0.0010%12 Jul →
cache10–13-0.0116%12 Jul →
dust212–160.0112%11 Jul →
nuke9–130.0121%11 Jul →
inferno5–130.0126%11 Jul →
inferno8–13-0.067%10 Jul →
cache13–160.0621%10 Jul →
nuke13–80.0616%10 Jul →
dust22–13-0.0433%9 Jul →
inferno4–130.0140%9 Jul →
anubis13–20.0722%9 Jul →
anubis10–13-0.0712%9 Jul →
nuke13–60.0332%9 Jul →
dust213–60.0521%9 Jul →
ancient11–13-0.0710%1 Jul →
dust216–130.0128%1 Jul →
ancient9–13-0.0518%27 Jun →
dust213–20.0710%26 Jun →
mirage5–13-0.0218%26 Jun →
ancient13–40.118%25 Jun →
mirage8–30.0417%25 Jun →
ancient2–13-0.1123%25 Jun →
ancient13–110.0016%23 Jun →
inferno7–13-0.0117%23 Jun →
mirage8–130.0221%21 Jun →
nuke11–130.0122%21 Jun →
nuke9–13-0.0025%17 Jun →
inferno13–100.0310%17 Jun →
nuke13–100.0723%17 Jun →
inferno5–13-0.049%16 Jun →
ancient13–9-0.0317%16 Jun →
overpass11–13-0.0015%15 Jun →
anubis13–11-0.049%15 Jun →
inferno9–13-0.0513%15 Jun →
anubis13–100.0315%15 Jun →
nuke13–70.0621%10 Jun →
nuke13–100.0722%10 Jun →
anubis6–13-0.0417%10 Jun →
inferno13–8-0.0220%10 Jun →
ancient9–13-0.0022%9 Jun →
inferno13–50.0115%9 Jun →
nuke3–13-0.0427%9 Jun →
overpass13–110.0512%8 Jun →
anubis11–13-0.0012%5 Jun →
inferno7–13-0.0615%5 Jun →
overpass2–13-0.0811%4 Jun →
ancient8–13-0.0631%3 Jun →
nuke13–8-0.0412%3 Jun →
inferno13–11-0.0010%3 Jun →
nuke9–13-0.0121%3 Jun →
anubis9–130.0617%31 May →
anubis13–4-0.0324%31 May →
inferno13–10.0331%31 May →
overpass6–130.0113%31 May →
inferno16–130.0211%31 May →
overpass13–9-0.0013%29 May →
dust211–13-0.0112%29 May →
nuke13–80.1015%27 May →
ancient11–130.0210%26 May →
nuke13–40.0922%26 May →
dust210–13-0.0522%24 May →
dust213–10.0031%24 May →
nuke15–150.0211%23 May →
ancient13–80.0920%23 May →
overpass0–7-0.0333%22 May →
anubis9–13-0.0513%20 May →
cache12–12-0.0321%20 May →
anubis11–130.0017%19 May →
mirage9–130.0110%18 May →
anubis7–13-0.058%18 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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