Lil_Green

Lil_Green — CS2 Stats

US76561198347334200[U:1:387068472]Steam profile ↗

275Tracked matches50%Win rate2024Tracked since
385Hours in CS32Hrs last 2 wks
CSDB Rating3.0 Learning
Premier CS Rating3,676Grey band · top ~84.4% of ranked players (population est.)
CSDB Leaderboard#28812 of 37077 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate36.8%40.1%3.2% short
Shot accuracy2.4%7.6%5.2% short
Kill/death ratio0.920.92meets
Match win rate40.3%42.2%1.9% short

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

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

Share this profile

CSDB.GGLil_GreenPREMIER3,676 · Grey 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

Aim25
Positioning44
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateWLWWWLLLWL

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

Player DNA

Aim2.5
Aggression3.8
Utility4.3
Positioning4.4
Opening Duels0.2

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 70% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.5
Positioning4.4
Utility4.3
Mechanics2.5
Opening Duels1.4
Win Impact5.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time638ms−45ms
first ⅓ avg 683ms → last ⅓ avg 638ms
Headshot accuracy12.8%−0.8%
first ⅓ avg 13.6% → last ⅓ avg 12.8%

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

0.09Best rating — anubis 13–3
120Biggest win — nuke
4Longest win streak
76In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 64% over 14overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D1961332%-0.04
nukeA149564%-0.00
infernoC104640%-0.01
vertigoC104640%-0.00
trainA106460%0.00
mirageC94544%0.01
anubisA74357%-0.01
cacheC52340%-0.06
officeA53260%-0.02
overpassD51420%-0.03
ancient31233%-0.04
italy1010%-0.12
fachwerk1010%-0.07
warden1010%0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,430Lifetime kills
0.92K/D
670Matches
40.3%Match win rate
36.8%Headshot %
2.4%Shot accuracy
1,073MVPs
213Hours (in match)
596Bombs planted
82Bombs defused

Most-used weapons

Lifetime map wins

1,452dust2
600inferno
503nuke
466office
353vertigo
299train
95italy
27lake

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.

12.2%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.4%Spray accuracy
61.2%Counter-strafing
13.3°Preaim
631msReaction time
20.8%T opening success
41.2%CT opening success
0.58Enemies flashed / flash
8.8%Flash assists
10.51HE damage / grenade
3.50Flashes / 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 13.3377° — 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 12.2403% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4956 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Overpass

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.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0221%29 Aug
dust27–13-0.0315%29 Aug
nuke13–5-0.0310%29 Aug
nuke13–10-0.0424%29 Aug
anubis13–3-0.0113%29 Aug
dust26–13-0.0618%29 Aug
cache3–13-0.120%29 Aug
nuke2–130.0318%29 Aug
anubis13–30.0915%29 Aug
dust210–130.027%28 Aug
nuke13–40.089%27 Aug
dust213–5-0.0615%27 Aug
dust27–13-0.0619%26 Aug
inferno13–70.0013%25 Aug
nuke13–7-0.0313%25 Aug
mirage7–130.0112%25 Aug
nuke12–00.0315%25 Aug
mirage13–100.069%25 Aug
mirage4–13-0.063%25 Aug
cache3–130.0115%25 Aug
ancient13–60.048%25 Aug
inferno11–13-0.064%25 Aug
dust27–130.0015%22 Aug
dust29–13-0.0829%21 Aug
nuke7–130.084%21 Aug
office8–13-0.0512%20 Aug
vertigo12–12-0.023%20 Aug
train5–00.090%20 Aug
vertigo12–120.0310%20 Aug
mirage13–100.0312%20 Aug
train13–110.0123%19 Aug
anubis11–13-0.0818%19 Aug
dust26–13-0.0922%19 Aug
overpass7–13-0.0112%19 Aug
dust20–2-0.000%19 Aug
mirage10–13-0.018%19 Aug
inferno12–12-0.0314%18 Aug
italy5–13-0.124%18 Aug
nuke11–13-0.018%18 Aug
dust212–12-0.0615%17 Aug
inferno13–11-0.047%17 Aug
cache13–7-0.0221%17 Aug
vertigo2–13-0.1121%17 Aug
inferno8–13-0.1014%17 Aug
overpass5–13-0.057%16 Aug
train11–13-0.0410%16 Aug
office13–10-0.038%16 Aug
dust210–13-0.0113%16 Aug
dust213–5-0.0410%16 Aug
train13–5-0.038%15 Aug
inferno6–130.0219%15 Aug
office13–10-0.054%14 Aug
fachwerk4–13-0.070%13 Aug
nuke13–110.032%13 Aug
cache13–5-0.0914%13 Aug
office6–13-0.0214%16 Jul
train13–7-0.0414%30 Apr
cache5–13-0.079%30 Apr
mirage9–13-0.0520%26 Apr
dust213–40.008%26 Apr
anubis13–100.0217%24 Apr
nuke8–13-0.047%22 Apr
vertigo13–110.0413%14 Apr
dust210–13-0.1015%13 Apr
inferno4–13-0.029%13 Apr
vertigo13–110.0920%9 Apr
vertigo13–90.0215%9 Apr
vertigo13–100.0314%9 Apr
vertigo3–13-0.0711%8 Apr
anubis9–13-0.078%3 Apr
inferno13–90.0615%25 Mar
dust213–10-0.0524%25 Mar
mirage13–90.0425%19 Mar
inferno13–60.056%18 Mar
anubis4–13-0.0513%18 Mar
nuke13–9-0.0622%17 Mar
overpass5–8-0.0327%16 Mar
inferno10–130.0114%16 Mar
nuke13–3-0.0318%16 Mar
vertigo10–13-0.0013%16 Mar
dust27–13-0.0710%16 Mar
ancient12–12-0.0814%15 Mar
overpass6–13-0.0412%13 Mar
warden10–130.0410%13 Mar
overpass13–9-0.0219%13 Mar
vertigo11–13-0.0013%10 Mar
mirage10–130.0114%10 Mar
nuke12–12-0.0318%10 Mar
dust26–130.0313%10 Mar
office13–80.0120%27 Feb
dust213–10-0.047%27 Feb
train13–40.006%27 Feb
train13–10.0613%26 Feb
ancient9–13-0.0712%25 Feb
nuke13–110.0019%25 Feb
train1–9-0.040%25 Feb
train6–13-0.009%18 Feb
anubis13–110.0014%18 Feb
train3–130.017%15 Feb
mirage13–60.0411%13 Feb

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 →