Greenie

Greenie — CS2 Stats

76561197992207736[U:1:31942008]Steam profile ↗✓ No bans

2,471Tracked matches57%Win rate2022Tracked since
CSDB Rating5.0 DevelopingSupport
FaceitLevel 7 · 1,405 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,405 → 1,405
+26Tracked matches · now 2,471
+10.0ppWin rate · 46.7% → 56.7%

Rating over time

Faceit ELO: 1,405 +0 30 Aug – 26 Sept · 5 observations
1,4051,405peak 1,40530 Aug26 Sept
1,405Highest Faceit ELO seen on CSDB
40Days played since 2026-08-23

Faceit ELO

  • At peak — 1,405
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 126 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-30
  • Level 6 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Share this profile

CSDB.GGGreenieFACEITLevel 7 · 1,405 ELOSTANDINGTop 42.3% of ranked30 DAYS0 ELOPEAK ELO1,405csdb.gg/stats

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Performance scores

Aim60
Positioning61
Utility65

0–100 skill scores via Leetify.

Recent form

HOT46–54Last 10046%Win rateWLLWWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · −40ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 519ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 539ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 559ms

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 (+2 against its own average).

Aim6.0
Utility6.5
Positioning6.1
Opening Duels2.0
Clutch3.4

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 51% on T to 31% on CT — first contacts on the defending side are being lost.

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

Aim6.0
Positioning6.1
Utility6.5
Mechanics3.8
Opening Duels2.8
Win Impact7.2

Composite 5.0/10 (Developing), 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 rating0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg 0.00
Reaction time557ms−12ms
first ⅓ avg 568ms → last ⅓ avg 557ms
Headshot accuracy11.1%+2.1%
first ⅓ avg 9.0% → last ⅓ avg 11.1%

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

0.11Best match rating · 13–1 · inferno, 23 Sept →
24%Best headshot accuracy · 13–3 · nuke, 16 Sept →
375msFastest reaction time · 13–4 · nuke, 6 Sept →
13–1Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–12In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 52% over 23cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%-0.02
nukeB2312–1152%-0.00
ancientB2211–1150%-0.02
anubisC145–936%-0.03
cacheD93–633%-0.05
mirage—32–167%-0.03
dust2—10–10%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

682Matches
49%Win rate
0.97Avg K/D
69.0ADR
34%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke15358%1.0313.9
Ancient14351%1.0213.4
Anubis11454%0.9813.8
Inferno10045%0.9714.3
Dust25931%0.7712.0
Overpass4040%0.9013.3
Mirage2752%1.0314.4
Cache2241%0.7510.9

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.

10.8%Headshot accuracy
38.3%Accuracy (enemy spotted)
41.1%Spray accuracy
67.2%Counter-strafing
10.8°Preaim
547msReaction time
51.2%T opening success
31.0%CT opening success
0.59Enemies flashed / flash
10.7%Flash assists
6.56HE damage / grenade
8.77Flashes / 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 Crosshair

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

    Headshot accuracy 10.7566% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.9893% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0412%11 Oct →
ancient6–13-0.0813%11 Oct →
ancient7–130.021%11 Oct →
nuke13–100.0315%10 Oct →
anubis13–50.0519%10 Oct →
ancient13–50.047%10 Oct →
ancient13–30.0910%8 Oct →
inferno9–13-0.0610%8 Oct →
anubis13–80.0218%7 Oct →
nuke13–1-0.0213%7 Oct →
inferno11–13-0.060%7 Oct →
nuke13–20.1017%6 Oct →
ancient13–110.0411%6 Oct →
dust28–13-0.066%4 Oct →
ancient13–50.026%4 Oct →
anubis5–13-0.0423%1 Oct →
ancient4–13-0.0313%1 Oct →
cache13–16-0.0313%30 Sept →
inferno9–130.0213%30 Sept →
inferno13–11-0.027%28 Sept →
ancient9–13-0.056%28 Sept →
anubis11–13-0.018%27 Sept →
nuke13–9-0.0017%27 Sept →
nuke17–190.029%26 Sept →
nuke16–14-0.0011%26 Sept →
ancient13–11-0.0312%26 Sept →
inferno8–13-0.0415%25 Sept →
anubis13–40.036%25 Sept →
ancient13–10-0.054%25 Sept →
inferno13–90.0413%24 Sept →
nuke13–70.0614%24 Sept →
inferno13–10.119%23 Sept →
ancient13–7-0.0714%23 Sept →
inferno17–19-0.048%22 Sept →
anubis9–13-0.054%20 Sept →
inferno1–13-0.036%20 Sept →
inferno13–70.0013%20 Sept →
nuke14–16-0.039%17 Sept →
inferno9–13-0.0312%17 Sept →
cache13–11-0.0517%16 Sept →
inferno7–0-0.0711%16 Sept →
nuke13–30.0324%16 Sept →
ancient7–13-0.0511%16 Sept →
nuke11–13-0.043%15 Sept →
inferno5–13-0.0216%15 Sept →
anubis6–13-0.076%14 Sept →
ancient6–13-0.069%13 Sept →
nuke13–9-0.0517%13 Sept →
nuke10–13-0.0713%13 Sept →
nuke11–13-0.0214%12 Sept →
inferno13–80.038%12 Sept →
ancient14–16-0.0311%12 Sept →
inferno11–13-0.0619%11 Sept →
nuke16–13-0.0411%11 Sept →
ancient10–13-0.0211%11 Sept →
mirage13–110.028%10 Sept →
nuke11–13-0.0212%10 Sept →
inferno22–20-0.0110%9 Sept →
ancient13–10-0.037%9 Sept →
ancient13–10.079%8 Sept →
cache6–13-0.0415%8 Sept →
inferno7–13-0.0615%8 Sept →
anubis13–80.0011%7 Sept →
inferno15–19-0.0712%7 Sept →
ancient13–110.0217%6 Sept →
anubis7–13-0.0314%6 Sept →
nuke13–40.0617%6 Sept →
nuke3–13-0.0417%6 Sept →
ancient9–13-0.048%5 Sept →
nuke7–130.0212%5 Sept →
inferno16–12-0.016%5 Sept →
cache13–10.030%4 Sept →
nuke11–13-0.0210%4 Sept →
inferno19–16-0.0316%4 Sept →
inferno13–11-0.026%3 Sept →
mirage12–16-0.037%3 Sept →
inferno13–100.039%2 Sept →
nuke13–80.017%2 Sept →
nuke13–16-0.0111%1 Sept →
anubis6–13-0.112%1 Sept →
cache9–130.009%1 Sept →
mirage16–13-0.0810%31 Aug →
inferno13–20.022%31 Aug →
cache13–2-0.0716%31 Aug →
anubis11–13-0.0518%31 Aug →
cache1–13-0.1513%30 Aug →
nuke13–8-0.059%30 Aug →
ancient13–11-0.0112%29 Aug →
inferno3–13-0.032%29 Aug →
ancient16–19-0.047%29 Aug →
anubis13–16-0.0313%27 Aug →
inferno8–13-0.039%27 Aug →
inferno13–40.0010%26 Aug →
cache6–13-0.0717%26 Aug →
ancient2–8-0.140%25 Aug →
anubis4–13-0.086%25 Aug →
nuke8–13-0.0114%23 Aug →
cache3–13-0.056%23 Aug →
inferno2–13-0.0511%23 Aug →
inferno6–13-0.095%23 Aug →

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 →

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