green awareness month

green awareness month — CS2 Stats

76561197997572008[U:1:37306280]Steam profile ↗VAC banned

219Tracked matches55%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 219 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,711 -31 9 Feb – 26 Feb · 7 days played
21,71122,488peak 22,4889 Feb26 Feb
22,658Peak Premier in tracked matches
1,026Highest Faceit ELO seen on CSDB
30Days played since 2024-04-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGgreen awareness monthFACEITLevel 4STANDINGTop 81.0% of rankedPEAK ELO1,026csdb.gg/stats

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Performance scores

Aim62
Positioning34
Utility58

0–100 skill scores via Leetify.

Recent form

COLD61–36–3Last 10061%Win rateLLWLLLWWLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −3.3pp headshot accuracy · −8ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 657ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 653ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 658ms

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 (+3.5 against its own average).

Aim6.2
Utility5.8
Positioning3.4
Opening Duels0.1
Clutch0.0

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 76% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 645ms 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

Aim6.2
Positioning3.4
Utility5.8
Mechanics7.4
Opening Duels0.0
Win Impact6.7

Composite 5.2/10 (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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time643ms−16ms
first ⅓ avg 659ms → last ⅓ avg 643ms
Headshot accuracy20.9%−1.2%
first ⅓ avg 22.1% → last ⅓ avg 20.9%

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

0.11Best match rating · 7–0 · anubis, 16 Mar →
43%Best headshot accuracy · 13–9 · inferno, 1 Jul →
469msFastest reaction time · 10–13 · ancient, 10 Mar →
13–2Biggest win · train, 19 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
9–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 100% over 5dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%-0.02
trainS1715–288%-0.01
anubisB158–753%-0.02
ancientC145–936%-0.05
mirageA85–363%-0.03
dust2D51–420%-0.03
vertigoS55–0100%0.01
inferno—43–175%-0.01
overpass—33–0100%-0.04
edin—32–167%0.02
jura—11–0100%0.01
grail—11–0100%0.01
agency—11–0100%-0.02
basalt—11–0100%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

74Matches
58%Win rate
0.92Avg K/D
71.6ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
40%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1753%1.0014.3
Mirage1464%0.8214.8
Overpass1070%0.9314.3
Ancient1060%0.9216.3
Nuke540%1.0113.8
Anubis475%0.9214.0
Inferno1100%0.707.0
Train1100%1.0813.0

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.

20.9%Headshot accuracy
30.5%Accuracy (enemy spotted)
37.9%Spray accuracy
83.4%Counter-strafing
11.0°Preaim
645msReaction time
23.6%T opening success
29.6%CT opening success
0.68Enemies flashed / flash
4.1%Flash assists
5.61HE damage / grenade
6.58Flashes / 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 23.5946% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0613%2 Aug →
ancient4–13-0.0919%2 Aug →
train13–11-0.0535%2 Aug →
nuke8–13-0.0621%23 Jul →
mirage11–130.0520%23 Jul →
nuke7–13-0.0514%23 Jul →
overpass13–6-0.0316%19 Jul →
overpass13–7-0.073%19 Jul →
nuke8–13-0.0826%9 Jul →
ancient8–13-0.0721%9 Jul →
nuke5–13-0.0829%9 Jul →
mirage13–3-0.0317%6 Jul →
jura5–50.0119%5 Jul →
grail13–80.0122%5 Jul →
mirage13–11-0.0613%1 Jul →
dust210–13-0.0221%1 Jul →
mirage13–3-0.0717%1 Jul →
inferno13–9-0.0643%1 Jul →
agency13–5-0.0218%21 Jun →
dust213–90.0022%21 Jun →
nuke11–130.0815%21 Jun →
train7–13-0.1024%29 May →
anubis12–12-0.0120%29 May →
mirage13–6-0.0319%29 May →
nuke5–13-0.070%21 Mar →
vertigo13–8-0.0119%21 Mar →
inferno3–13-0.0436%21 Mar →
mirage13–40.0024%21 Mar →
vertigo13–30.0822%19 Mar →
edin13–90.0434%19 Mar →
train13–2-0.0124%19 Mar →
inferno13–60.0622%16 Mar →
nuke10–13-0.0723%16 Mar →
vertigo13–3-0.0321%16 Mar →
nuke13–10-0.0118%16 Mar →
anubis7–00.1121%16 Mar →
anubis3–10.0315%16 Mar →
train11–3-0.0525%16 Mar →
nuke13–20.0315%15 Mar →
train13–70.0412%15 Mar →
vertigo13–6-0.0113%15 Mar →
edin6–13-0.0121%15 Mar →
nuke13–9-0.0132%15 Mar →
nuke9–13-0.0535%15 Mar →
train13–9-0.0120%11 Mar →
basalt13–90.0030%11 Mar →
nuke6–1-0.0421%11 Mar →
edin13–40.0229%11 Mar →
train13–50.0519%10 Mar →
anubis2–13-0.0924%10 Mar →
ancient10–13-0.0626%10 Mar →
train13–9-0.0224%10 Mar →
nuke13–70.0915%10 Mar →
train13–70.0029%10 Mar →
nuke13–8-0.0221%5 Mar →
ancient19–22-0.0313%5 Mar →
overpass13–9-0.0022%5 Mar →
mirage7–13-0.0522%5 Mar →
ancient13–11-0.0320%26 Feb →
anubis5–13-0.0431%26 Feb →
mirage12–16-0.0414%26 Feb →
anubis13–8-0.0318%22 Feb →
train13–9-0.0140%22 Feb →
dust27–13-0.0417%20 Feb →
train13–20.0531%20 Feb →
anubis16–14-0.0416%20 Feb →
ancient9–13-0.065%20 Feb →
ancient8–13-0.0321%20 Feb →
anubis16–14-0.0211%19 Feb →
anubis13–70.0222%19 Feb →
train13–100.0135%18 Feb →
anubis4–13-0.0616%18 Feb →
nuke12–120.0523%17 Feb →
ancient7–13-0.0417%17 Feb →
anubis11–13-0.0320%17 Feb →
train12–12-0.0719%17 Feb →
anubis10–13-0.0120%17 Feb →
train13–5-0.0524%17 Feb →
nuke13–7-0.0116%15 Feb →
ancient9–13-0.0319%15 Feb →
vertigo13–70.0326%15 Feb →
nuke0–13-0.0518%15 Feb →
inferno13–50.0126%15 Feb →
dust25–13-0.0436%15 Feb →
ancient16–14-0.0317%14 Feb →
nuke13–8-0.0432%9 Feb →
train16–12-0.0131%9 Feb →
ancient10–13-0.0620%8 Feb →
nuke13–7-0.0419%8 Feb →
nuke13–80.0023%8 Feb →
ancient13–10-0.0212%4 Feb →
nuke9–13-0.0631%4 Feb →
train13–110.0022%31 Jan →
nuke6–13-0.0619%31 Jan →
ancient13–10-0.059%31 Jan →
anubis13–6-0.0316%31 Jan →
train13–6-0.0030%31 Jan →
anubis13–8-0.0225%31 Jan →
ancient13–3-0.0517%8 Jan →
anubis7–13-0.0538%8 Apr →

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 →

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