GreeNeo

GreeNeo — CS2 Stats

RO76561199783468216[U:1:1823202488]Steam profile ↗✓ No bans

614Tracked matches50%Win rate2024Tracked since
980Hours in CS
CSDB Rating4.8 DevelopingSupport
Premier CS Rating19,319Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#96375 of 261514 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 614 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,319 +709 17 Jul – 25 Sept · 3 days played
18,61019,319peak 19,31917 Jul25 Sept
19,420Peak Premier in tracked matches
30Days played since 2026-07-08

Premier CS Rating

  • At peak — 19,319
  • Next: Pink band at 20,000 — 681 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-25

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 rate41.9%44.4%46.9%5.0% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio0.911.031.080.17 short
Match win rate37.4%45.2%46.7%9.2% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGGreeNeoPREMIER19,319 · Purple bandcsdb.gg/stats

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Performance scores

Aim41
Positioning52
Utility69

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLLLLTWLTLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · +38ms reaction

Win rate down 30pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 671ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 652ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 633ms

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 (+1.7 against its own average).

Aim4.1
Utility6.9
Positioning5.2
Opening Duels3.5

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

ZywOo

Plays most like ZywOo 63% 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. 639ms 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

Aim4.1
Positioning5.2
Utility6.9
Mechanics4.6
Opening Duels2.9
Win Impact5.0

Composite 4.8/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time643ms+49ms
first ⅓ avg 594ms → last ⅓ avg 643ms
Headshot accuracy19.9%+2.4%
first ⅓ avg 17.5% → last ⅓ avg 19.9%

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

0.20Best match rating · 13–7 · mirage, 22 Jul →
45%Best headshot accuracy · 0–5 · vertigo, 30 Jul →
391msFastest reaction time · 13–7 · inferno, 13 Jul →
13–1Biggest win · dust2, 29 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
10–7In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 100% over 5officeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%0.00
dust2C229–1341%0.00
cacheB105–550%0.03
infernoC83–538%-0.01
anubisS75–271%-0.01
officeD62–433%-0.02
nukeS64–267%0.01
ancientS55–0100%0.04
vertigo—41–325%0.00
train—22–0100%0.05

Across the last 100 tracked matches.

Lifetime stats

54,467Lifetime kills
0.91K/D
3,228Matches
37.4%Match win rate
41.9%Headshot %
0.0%Shot accuracy
4,526MVPs
980Hours (in match)
1,937Bombs planted
566Bombs defused

Most-used weapons

AK-4714,838
AWP10,632
SSG 082,428
MP71,270
SG 5531,144
MAC-101,121

Lifetime map wins

6,429dust2
3,063inferno
1,225nuke
720vertigo
452train
205office
26ar_shoots
14italy

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.

19.7%Headshot accuracy
28.9%Accuracy (enemy spotted)
30.3%Spray accuracy
70.7%Counter-strafing
11.3°Preaim
639msReaction time
36.8%T opening success
46.6%CT opening success
0.67Enemies flashed / flash
13.6%Flash assists
11.25HE damage / grenade
13.45Flashes / 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 36.8132% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office5–13-0.0214%8 Sept →
office2–13-0.0619%8 Sept →
mirage10–13-0.0220%30 Aug →
mirage2–130.0218%30 Aug →
mirage12–12-0.0418%29 Aug →
dust213–9-0.0128%29 Aug →
dust28–130.0320%29 Aug →
cache12–12-0.0815%29 Aug →
cache10–130.0424%29 Aug →
dust213–90.0614%24 Aug →
anubis13–70.0219%18 Aug →
inferno10–13-0.0215%18 Aug →
inferno13–110.0222%18 Aug →
mirage13–110.0718%18 Aug →
mirage8–13-0.0023%18 Aug →
mirage13–9-0.0214%17 Aug →
anubis8–13-0.0524%17 Aug →
inferno2–11-0.0119%17 Aug →
nuke2–7-0.0424%17 Aug →
mirage13–90.0411%16 Aug →
nuke13–60.1024%15 Aug →
inferno11–130.0428%15 Aug →
dust29–13-0.0314%14 Aug →
train13–80.0828%14 Aug →
train13–50.0126%13 Aug →
inferno13–30.0111%11 Aug →
dust213–11-0.0113%11 Aug →
dust213–9-0.0223%11 Aug →
dust211–13-0.0431%11 Aug →
office13–100.0116%11 Aug →
office11–13-0.0019%11 Aug →
cache13–100.0622%11 Aug →
inferno11–130.0024%10 Aug →
ancient13–100.0120%10 Aug →
nuke13–90.0120%9 Aug →
mirage7–13-0.0320%9 Aug →
mirage8–130.0818%9 Aug →
mirage10–130.0321%7 Aug →
mirage4–13-0.0113%7 Aug →
dust210–130.1010%7 Aug →
mirage13–100.0222%6 Aug →
dust213–10-0.0815%6 Aug →
dust213–70.0723%6 Aug →
office13–10-0.0013%6 Aug →
mirage13–10-0.0521%5 Aug →
dust24–13-0.0824%5 Aug →
dust26–130.0315%5 Aug →
mirage8–130.0138%2 Aug →
mirage3–13-0.004%2 Aug →
dust213–100.0520%30 Jul →
vertigo6–130.0129%30 Jul →
vertigo0–5-0.0445%30 Jul →
vertigo13–60.1231%30 Jul →
mirage8–13-0.0224%29 Jul →
dust213–10.0424%29 Jul →
vertigo4–13-0.0823%29 Jul →
mirage11–130.0523%23 Jul →
dust29–130.037%22 Jul →
ancient13–7-0.0128%22 Jul →
anubis13–11-0.050%22 Jul →
dust24–130.0122%22 Jul →
mirage13–70.2024%22 Jul →
ancient13–90.0817%22 Jul →
dust213–60.0215%22 Jul →
dust25–130.0422%22 Jul →
anubis12–120.0018%22 Jul →
anubis13–100.0323%22 Jul →
anubis13–100.0016%21 Jul →
dust26–130.0219%20 Jul →
anubis13–10-0.0615%20 Jul →
nuke13–80.0221%17 Jul →
mirage3–13-0.088%17 Jul →
dust26–13-0.0320%17 Jul →
cache5–13-0.0317%17 Jul →
dust21–13-0.0715%17 Jul →
mirage13–11-0.0822%17 Jul →
mirage13–50.0212%17 Jul →
ancient13–110.0425%16 Jul →
dust23–13-0.0116%16 Jul →
mirage8–13-0.0231%16 Jul →
mirage13–9-0.0319%16 Jul →
inferno10–13-0.0813%16 Jul →
cache7–13-0.0329%16 Jul →
mirage10–13-0.0617%15 Jul →
mirage11–13-0.0215%15 Jul →
inferno13–7-0.0215%13 Jul →
cache13–110.089%13 Jul →
cache13–3-0.0218%13 Jul →
mirage13–8-0.0022%13 Jul →
mirage8–130.0116%13 Jul →
mirage13–5-0.0024%13 Jul →
cache13–110.0312%13 Jul →
cache13–50.1435%13 Jul →
mirage13–11-0.0013%13 Jul →
mirage13–50.0411%13 Jul →
nuke13–110.0117%10 Jul →
nuke11–13-0.0614%10 Jul →
ancient13–50.0722%9 Jul →
cache12–120.1113%8 Jul →
office10–13-0.076%8 Jul →

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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