Neumi {$G3}

Neumi {$G3} — CS2 Stats

DE76561197971065024[U:1:10799296]Steam profile ↗✓ No bans

639Tracked matches57%Win rate2020Tracked since
3,638Hours in CS22Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating19,105Top 50% of 211,827 CSDB-tracked playersPurple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#97419 of 258884 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 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: 19,105 +211 29 Apr – 29 Oct · 41 days played
17,15719,999peak 19,99929 Apr29 Oct
19,999Peak Premier in tracked matches
48Days played since 2026-04-29

Premier CS Rating

  • 894 below peak (19,999)
  • -458 over 30 days · declining
  • Next: Pink band at 20,000 — 895 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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 rate38.0%44.4%46.9%8.9% short
Shot accuracy18.4%11.9%13.0%above
Kill/death ratio1.001.031.080.08 short
Match win rate41.5%45.2%46.7%5.2% short

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

Widest gap: Headshot rate. 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.GGNeumi {$G3}PREMIER19,105 · Purple bandcsdb.gg/stats

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Performance scores

Aim60
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWWWLWLWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · −59ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 556ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

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 (+1.2 against its own average).

Aim6.0
Utility5.7
Positioning5.5
Opening Duels2.4

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 81% 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. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.0
Positioning5.5
Utility5.7
Mechanics3.9
Opening Duels4.0
Win Impact7.2

Composite 5.5/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time587ms−75ms
first ⅓ avg 662ms → last ⅓ avg 587ms
Headshot accuracy15.4%+1.2%
first ⅓ avg 14.1% → last ⅓ avg 15.4%

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

0.10Best match rating · 13–2 · inferno, 14 Oct →
33%Best headshot accuracy · 7–13 · dust2, 6 May →
453msFastest reaction time · 10–13 · cache, 23 Oct →
13–0Biggest win · anubis, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
2–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 61% over 33anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3320–1361%-0.00
infernoA1911–858%-0.00
ancientA116–555%0.00
mirageC104–640%-0.03
anubisD93–633%0.00
nukeC83–538%-0.03
cacheC52–340%-0.01
overpassA53–260%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,790Lifetime kills
1.00K/D
4,207Matches
41.5%Match win rate
38.0%Headshot %
18.4%Shot accuracy · Top 10% of Purple band
9,182MVPs
1,885Hours (in match)
5,599Bombs planted
988Bombs defused

Most-used weapons

AK-4730,389
P909,561
P2508,488
MP74,631
AWP1,705
HE Grenade894

Lifetime map wins

29,482dust2
3,002inferno
1,115nuke
614cbble
161train
136vertigo
62office
51dust

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

Faceit stats

Combat

28Matches
50%Win rate
1.19Avg K/D
—ADR
36%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

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.

15.7%Headshot accuracy
39.7%Accuracy (enemy spotted)
39.1%Spray accuracy
67.7%Counter-strafing
12.1°Preaim
588msReaction time
43.4%T opening success
48.7%CT opening success
0.55Enemies flashed / flash
8.9%Flash assists
8.20HE damage / grenade
4.04Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0862° — above the 12° mark we flag

    Aim Training →
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.

33% 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
inferno13–60.039%29 Oct →
dust213–10-0.0121%29 Oct →
ancient13–60.0418%29 Oct →
dust25–12-0.0416%29 Oct →
inferno13–30.0615%29 Oct →
inferno6–13-0.0411%28 Oct →
dust213–50.0326%28 Oct →
inferno13–16-0.035%28 Oct →
nuke8–13-0.0918%27 Oct →
cache13–6-0.0214%27 Oct →
dust213–100.0019%27 Oct →
nuke8–130.0411%27 Oct →
inferno8–13-0.069%26 Oct →
mirage16–130.0415%26 Oct →
inferno13–50.0729%26 Oct →
ancient11–13-0.0622%26 Oct →
nuke13–7-0.0119%26 Oct →
nuke7–13-0.0221%25 Oct →
dust213–80.0429%23 Oct →
inferno16–13-0.0411%23 Oct →
cache10–130.0220%23 Oct →
ancient13–40.0612%22 Oct →
inferno13–6-0.047%22 Oct →
nuke13–11-0.0311%15 Oct →
dust211–13-0.0421%14 Oct →
anubis5–130.0316%14 Oct →
inferno7–13-0.0315%14 Oct →
inferno13–20.108%14 Oct →
anubis9–13-0.0314%5 Oct →
anubis13–00.0212%29 Sept →
cache7–130.0215%29 Sept →
dust213–80.0111%23 Sept →
dust213–160.0110%21 Sept →
dust213–10.0813%21 Sept →
mirage1–13-0.0714%21 Sept →
dust213–6-0.047%12 Sept →
dust213–7-0.0024%11 Sept →
anubis10–130.0312%31 Aug →
inferno8–13-0.0415%26 Aug →
nuke2–13-0.106%26 Aug →
mirage13–90.0210%25 Aug →
cache0–13-0.0922%25 Aug →
dust213–80.0113%25 Aug →
dust213–10-0.0410%21 Aug →
ancient13–70.0219%21 Aug →
ancient13–6-0.0111%20 Aug →
dust21–13-0.008%20 Aug →
cache13–90.0020%20 Aug →
dust29–13-0.059%18 Aug →
anubis11–130.054%17 Aug →
dust216–120.039%16 Aug →
mirage6–13-0.075%16 Aug →
dust214–16-0.0217%14 Aug →
nuke13–20.008%15 Jul →
dust213–70.009%15 Jul →
inferno16–13-0.0115%14 Jul →
inferno13–70.0516%13 Jul →
inferno15–15-0.0110%13 Jul →
ancient6–13-0.065%13 Jul →
mirage6–13-0.090%25 Jun →
mirage8–13-0.027%24 Jun →
dust21–13-0.089%24 Jun →
inferno13–100.0016%22 Jun →
inferno13–4-0.039%17 Jun →
nuke13–16-0.029%15 Jun →
inferno13–16-0.0111%11 Jun →
ancient13–90.0524%8 Jun →
mirage13–8-0.0215%8 Jun →
mirage13–9-0.039%8 Jun →
dust215–150.0921%5 Jun →
overpass13–100.0516%5 Jun →
dust213–10-0.017%18 May →
dust213–9-0.0113%18 May →
overpass13–100.038%18 May →
dust27–130.018%18 May →
anubis13–7-0.019%17 May →
mirage9–13-0.027%16 May →
ancient11–13-0.0610%16 May →
inferno9–13-0.0811%16 May →
anubis11–13-0.0016%16 May →
ancient7–130.039%15 May →
overpass13–70.0120%15 May →
ancient13–100.066%12 May →
overpass13–16-0.0716%12 May →
dust29–13-0.0120%12 May →
dust213–8-0.0114%11 May →
inferno13–30.017%11 May →
anubis5–13-0.0414%11 May →
dust29–130.017%10 May →
ancient5–13-0.039%10 May →
dust216–14-0.0418%9 May →
dust213–5-0.0218%7 May →
mirage5–13-0.0510%7 May →
dust27–13-0.0333%6 May →
dust213–10-0.0415%5 May →
overpass14–16-0.0412%5 May →
dust215–150.0229%5 May →
dust213–9-0.0524%4 May →
anubis13–10-0.0215%4 May →
dust216–120.0623%29 Apr →

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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