neko3mber

neko3mber — CS2 Stats

76561199149200889[U:1:1188935161]Steam profile ↗✓ No bans

1,142Tracked matches50%Win rate2022Tracked since
1,678Hours in CS7Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 3 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,934 -3,194 3 Apr30 Jun · 15 days played
3,9347,128peak 7,1283 Apr30 Jun
7,499Peak Premier in tracked matches
47Days played since 2026-04-03

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 3 among CSDB-tracked players (n=8,548), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.2%41.9%42.7%4.6% short
Shot accuracy7.4%12.2%11.2%3.8% short
Kill/death ratio0.740.980.990.26 short
Match win rate76.6%43.3%43.9%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGneko3mberFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim32
Positioning46
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY40528Last 10040%Win rateWWLWWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.0pp headshot accuracy · −53ms 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

  • 41 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 639ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 673ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 699ms

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: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim3.2
Utility6.3
Positioning4.6
Opening Duels2.1

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 59% 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. 704ms 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

Aim3.2
Positioning4.6
Utility6.3
Mechanics5.3
Opening Duels2.3
Win Impact5.0

Composite 4.4/10 (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-0.02+0.04
first ⅓ avg -0.07 → last ⅓ avg -0.02
Reaction time705ms−102ms
first ⅓ avg 807ms → last ⅓ avg 705ms
Headshot accuracy20.4%+8.3%
first ⅓ avg 12.1% → last ⅓ avg 20.4%

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

0.06Best match rating · 13–4 · office, 6 Sept
58%Best headshot accuracy · 13–4 · office, 6 Sept
484msFastest reaction time · 4–13 · italy, 15 Jun
13–1Biggest win · mirage, 21 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
57In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
officeC2691735%-0.04
dust2D1541127%-0.03
infernoD103730%-0.06
mirageS96367%-0.02
nukeD72529%-0.06
anubisC52340%-0.06
cacheD51420%-0.06
vertigo41325%-0.07
train32167%-0.05
ancient32167%-0.03
italy32167%-0.03
fachwerk2020%-0.05
boulder21150%-0.00
shelter220100%0.03
warden220100%-0.07
alpine110100%-0.03
poseidon1010%-0.20

Across the last 100 tracked matches.

Lifetime stats

28,880Lifetime kills
0.74K/D
6,470Matches
76.6%Match win rate · Top 1% of Level 3 players
38.2%Headshot %
7.4%Shot accuracy
4,332MVPs
795Hours (in match)
1,991Bombs planted
420Bombs defused

Most-used weapons

Lifetime map wins

4,869dust2
2,725inferno
1,398office
993nuke
831vertigo
488train
246italy
185lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.0%Headshot accuracy
25.8%Accuracy (enemy spotted)
29.9%Spray accuracy
73.9%Counter-strafing
11.9°Preaim
704msReaction time
37.4%T opening success
40.7%CT opening success
0.64Enemies flashed / flash
6.7%Flash assists
12.26HE damage / grenade
8.63Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 703.7674ms — above the 700ms mark we flag

    Aim Training
  2. 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 37.4208% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.054%17 Sept
nuke16–13-0.043%14 Sept
dust24–13-0.0516%14 Sept
inferno13–70.0216%14 Sept
mirage16–120.0224%8 Sept
mirage13–60.0516%8 Sept
dust210–130.0130%7 Sept
inferno5–13-0.0520%7 Sept
dust25–13-0.0216%7 Sept
office13–40.0658%6 Sept
office9–13-0.0650%6 Sept
office13–80.0517%20 Aug
nuke13–100.0216%20 Aug
train13–11-0.0812%14 Aug
mirage13–5-0.0129%11 Aug
ancient13–6-0.0124%11 Aug
mirage8–13-0.0320%11 Aug
office8–130.0112%11 Aug
train9–13-0.0622%10 Aug
office8–13-0.0522%10 Aug
dust213–9-0.0332%10 Aug
office13–110.0317%8 Aug
office9–13-0.0640%2 Aug
dust29–13-0.0331%2 Aug
vertigo13–80.0012%2 Aug
vertigo4–13-0.0614%1 Aug
vertigo4–13-0.0925%31 Jul
fachwerk11–13-0.0613%28 Jul
anubis13–80.0222%28 Jul
anubis9–13-0.098%27 Jul
anubis0–13-0.0817%27 Jul
anubis1–13-0.080%27 Jul
office13–9-0.0315%23 Jul
office13–90.0427%23 Jul
boulder13–90.0517%21 Jul
shelter13–70.0526%21 Jul
shelter13–70.0212%21 Jul
boulder12–12-0.0616%20 Jul
office5–13-0.0824%13 Jul
office11–13-0.0623%13 Jul
office1–13-0.1030%13 Jul
office12–12-0.038%9 Jul
fachwerk9–13-0.0524%9 Jul
office8–13-0.088%8 Jul
office13–11-0.0311%6 Jul
cache12–12-0.0617%1 Jul
cache8–13-0.0621%1 Jul
office13–50.016%30 Jun
inferno4–13-0.0717%30 Jun
dust213–30.048%30 Jun
mirage5–13-0.130%30 Jun
train13–6-0.0139%23 Jun
cache8–13-0.0619%21 Jun
mirage13–1-0.0412%21 Jun
italy4–13-0.0619%15 Jun
dust29–13-0.0125%15 Jun
dust23–13-0.0318%14 Jun
inferno13–3-0.0326%14 Jun
alpine13–3-0.0315%8 Jun
italy13–11-0.0712%8 Jun
italy13–100.0317%8 Jun
cache13–7-0.0913%7 Jun
office7–13-0.095%7 Jun
office10–13-0.048%2 Jun
office12–12-0.0710%30 May
nuke15–15-0.0611%30 May
warden13–11-0.0910%24 May
office12–12-0.0811%24 May
warden13–3-0.056%24 May
office7–13-0.1012%23 May
office10–3-0.1211%19 May
office13–9-0.025%13 May
office12–12-0.0212%13 May
office12–12-0.090%13 May
office0–110.003%13 May
cache9–13-0.028%11 May
ancient13–8-0.0318%11 May
inferno8–13-0.0816%11 May
mirage10–13-0.0716%26 Apr
dust213–9-0.0515%26 Apr
dust29–13-0.0617%20 Apr
nuke10–13-0.0811%20 Apr
inferno9–13-0.0718%15 Apr
dust210–13-0.0320%15 Apr
dust211–13-0.0313%12 Apr
dust211–13-0.0414%11 Apr
nuke2–13-0.060%10 Apr
inferno14–16-0.0818%10 Apr
dust22–13-0.0610%8 Apr
ancient9–13-0.0620%6 Apr
mirage13–9-0.048%6 Apr
inferno11–13-0.0725%6 Apr
poseidon4–9-0.2030%6 Apr
vertigo6–9-0.1513%6 Apr
inferno2–13-0.080%4 Apr
dust213–1-0.058%4 Apr
mirage13–20.0312%4 Apr
nuke11–13-0.128%4 Apr
nuke10–13-0.0723%3 Apr
inferno13–9-0.100%3 Apr

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 →