Greenz

Greenz — CS2 Stats

CA76561198127442111[U:1:167176383]Steam profile ↗✓ No bans

444Tracked matches50%Win rate2022Tracked since
473Hours in CS1Hrs last 2 wks
CSDB Rating2.6 Learning
Premier CS Rating13,630Blue band · top ~35.7% of ranked players (population est.)
CSDB Leaderboard#34003 of 52679 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.4%41.4%44.2%7.8% short
Shot accuracy5.1%9.0%11.6%6.5% short
Kill/death ratio0.560.971.030.47 short
Match win rate46.2%43.7%45.2%above

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

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

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CSDB.GGGreenzPREMIER13,630 · Blue bandcsdb.gg/stats

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Performance scores

Aim15
Positioning32
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateLWWLWWLLLT

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim1.5
Aggression2.4
Utility3.3
Positioning3.2
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 60% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 35% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 681ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.5
Positioning3.2
Utility3.3
Mechanics3.7
Opening Duels0.6
Win Impact5.0

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.02
first ⅓ avg -0.07 → last ⅓ avg -0.05
Reaction time691ms+8ms
first ⅓ avg 683ms → last ⅓ avg 691ms
Headshot accuracy10.7%+0.7%
first ⅓ avg 9.9% → last ⅓ avg 10.7%

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.

Highlights

0.03Best rating — cache 13–7
131Biggest win — train
4Longest win streak
66In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 62% over 13dust2Weakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D1841422%-0.07
cacheC1661038%-0.04
nukeA159660%-0.06
mirageA138562%-0.08
infernoB115645%-0.07
ancientA116555%-0.06
trainD72529%-0.06
overpassA53260%-0.05
anubis41325%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,782Lifetime kills
0.56K/D
972Matches
46.2%Match win rate · Top 50% of Blue band
36.4%Headshot %
5.1%Shot accuracy
610MVPs
352Hours (in match)
981Bombs planted
120Bombs defused

Most-used weapons

Lifetime map wins

1,262dust2
996nuke
993inferno
771train
123office
106vertigo
63lake
36bank

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.

11.0%Headshot accuracy
24.8%Accuracy (enemy spotted)
26.4%Spray accuracy
66.7%Counter-strafing
12.2°Preaim
681msReaction time
19.6%T opening success
34.8%CT opening success
0.60Enemies flashed / flash
7.5%Flash assists
4.75HE damage / grenade
4.62Flashes / 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 12.2028° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.9891% — below the 15% mark we flag

    Aim Training
Spend your practice time on Dust 2

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno2–9-0.1510%13 Jul
ancient13–7-0.013%12 Jul
nuke13–2-0.0719%7 Jul
anubis8–13-0.069%7 Jul
train13–1-0.0213%29 May
cache13–70.0322%27 May
train7–13-0.1110%26 May
train10–13-0.093%25 May
train9–13-0.067%25 May
train12–12-0.102%24 May
cache10–3-0.090%24 May
train13–100.0214%24 May
train12–12-0.0510%24 May
cache3–13-0.0314%23 May
cache13–6-0.0927%23 May
cache6–13-0.057%22 May
cache11–13-0.0217%21 May
cache12–12-0.068%20 May
cache9–13-0.078%19 May
cache8–13-0.0518%19 May
cache12–12-0.0413%19 May
cache13–10.0217%18 May
dust213–8-0.086%17 May
anubis2–13-0.135%17 May
cache13–8-0.0210%16 May
cache9–13-0.0411%15 May
dust23–2-0.0213%15 May
dust27–13-0.0817%11 May
mirage13–8-0.043%9 May
cache8–13-0.1010%8 May
cache13–6-0.0319%8 May
ancient6–13-0.093%4 May
dust213–10-0.044%4 May
mirage13–9-0.103%4 May
dust22–9-0.060%3 May
cache6–13-0.0717%3 May
ancient2–13-0.096%3 May
dust29–13-0.055%3 May
ancient13–30.0118%3 May
ancient15–15-0.088%2 May
nuke7–2-0.0710%2 May
ancient8–13-0.0812%1 May
dust27–13-0.0819%1 May
overpass16–12-0.0416%30 Apr
inferno7–13-0.0916%30 Apr
inferno10–13-0.059%27 Apr
dust213–11-0.0817%27 Apr
dust29–13-0.055%26 Apr
nuke13–3-0.0011%26 Apr
overpass15–15-0.0416%26 Apr
inferno4–13-0.0811%26 Apr
mirage11–13-0.0314%26 Apr
anubis13–8-0.123%25 Apr
dust22–13-0.146%25 Apr
mirage1–13-0.100%23 Apr
nuke7–13-0.0721%23 Apr
nuke13–7-0.0519%22 Apr
ancient13–7-0.085%22 Apr
inferno13–8-0.017%22 Apr
nuke14–16-0.106%4 Apr
mirage13–10-0.069%4 Apr
inferno16–13-0.0817%4 Apr
mirage13–9-0.056%4 Apr
nuke11–13-0.0311%3 Apr
dust26–13-0.049%3 Apr
nuke9–13-0.0217%3 Apr
mirage13–8-0.065%3 Apr
inferno13–11-0.0814%3 Apr
nuke10–13-0.083%1 Apr
mirage11–13-0.109%1 Apr
ancient13–8-0.0710%1 Apr
overpass13–11-0.044%1 Apr
mirage13–8-0.124%1 Apr
nuke13–9-0.029%1 Apr
inferno4–13-0.0710%1 Apr
inferno7–13-0.0614%31 Mar
dust29–13-0.1143%31 Mar
dust25–13-0.0517%31 Mar
inferno13–6-0.075%31 Mar
dust22–13-0.0912%31 Mar
nuke4–13-0.083%31 Mar
overpass10–13-0.0714%30 Mar
overpass13–7-0.0610%30 Mar
nuke13–11-0.0810%30 Mar
mirage8–13-0.0710%29 Mar
ancient16–12-0.028%29 Mar
dust27–13-0.0110%29 Mar
ancient11–13-0.105%28 Mar
nuke16–14-0.115%28 Mar
dust23–13-0.108%28 Mar
mirage16–13-0.107%28 Mar
mirage13–5-0.069%28 Mar
anubis10–13-0.062%3 Mar
nuke13–9-0.059%3 Mar
inferno13–1-0.066%3 Mar
dust25–13-0.123%3 Mar
mirage6–13-0.1012%3 Mar
ancient13–4-0.049%3 Mar
nuke13–4-0.0719%3 Mar
dust23–13-0.1014%3 Mar

Match data via Leetify.

Recent teammates

Milestones

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