SINofGREED

SINofGREED — CS2 Stats

76561199026567777[U:1:1066302049]Steam profile ↗✓ No bans

683Tracked matches55%Win rate2020Tracked since
949Hours in CS4Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 683
0.0ppWin rate · 55.2% → 55.2%

Rating over time

32Days played since 2026-05-05

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate62%——
K/D0.88——
Headshot %46%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate52.9%42.7%43.8%above
Shot accuracy9.3%11.3%12.0%2.7% short
Kill/death ratio1.250.991.02above
Match win rate48.6%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSINofGREEDFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim78
Positioning47
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLLWWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.08 avg rating · −5.9pp headshot accuracy · +8ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 622ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 582ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.8
Utility1.5
Positioning4.7
Opening Duels2.8
Clutch2.2

Excellent counter-strafingLimited utility dependence

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 590ms 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

Aim7.8
Positioning4.7
Utility1.5
Mechanics8.7
Opening Duels2.3
Win Impact6.7

Composite 5.7/10 (Solid), 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 time593ms−53ms
first ⅓ avg 645ms → last ⅓ avg 593ms
Headshot accuracy20.5%+4.1%
first ⅓ avg 16.4% → last ⅓ avg 20.5%

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

0.23Best match rating · 5–1 · mirage, 11 Jul →
37%Best headshot accuracy · 4–13 · dust2, 22 May →
422msFastest reaction time · 9–13 · dust2, 19 Aug →
13–0Biggest win · mirage, 30 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 66% over 29infernoWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B4021–1953%-0.01
mirageS2919–1066%-0.00
infernoB157–847%-0.04
cacheA116–555%-0.00
nuke—20–20%-0.07
anubis—10–10%-0.10
shelter—10–10%0.08
office—11–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,290Lifetime kills
1.25K/D · Top 25% of Level 4 players
1,542Matches
48.6%Match win rate · Top 25% of Level 4 players
52.9%Headshot % · Top 25% of Level 4 players
9.3%Shot accuracy
3,903MVPs
559Hours (in match)
545Bombs planted
276Bombs defused

Most-used weapons

Lifetime map wins

2,649dust2
2,363inferno
441nuke
187train
142vertigo
50ar_shoots
36office
33bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

237Matches
50%Win rate
0.99Avg K/D
91.0ADR
46%Headshot %

Clutches & streaks

31%1v1 clutch win
54%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno757%0.9915.4
Mirage617%0.9421.0
Dust2333%0.6216.0
Vertigo367%2.3215.7
Anubis367%1.7121.0

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.

19.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
31.2%Spray accuracy
89.2%Counter-strafing
8.4°Preaim
590msReaction time
36.4%T opening success
42.3%CT opening success
0.11Enemies flashed / flash
1.1%Flash assists
10.21HE damage / grenade
0.94Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1063 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 36.3954% — 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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0528%19 Sept →
mirage6–13-0.0926%19 Sept →
dust213–7-0.0412%19 Sept →
mirage13–110.0317%18 Sept →
mirage4–13-0.0915%4 Sept →
dust213–5-0.0518%4 Sept →
inferno13–100.0016%4 Sept →
mirage1–13-0.0914%4 Sept →
mirage13–9-0.0515%4 Sept →
dust24–2-0.0625%4 Sept →
dust213–40.1121%21 Aug →
mirage6–130.0820%20 Aug →
dust24–13-0.0118%20 Aug →
dust213–50.0725%20 Aug →
cache8–80.0428%19 Aug →
mirage13–70.0526%19 Aug →
dust29–130.0329%19 Aug →
mirage13–60.0221%1 Aug →
dust27–13-0.0625%1 Aug →
dust213–40.0232%31 Jul →
dust28–13-0.0228%30 Jul →
nuke9–13-0.0311%30 Jul →
mirage13–0-0.0213%30 Jul →
inferno7–130.0113%30 Jul →
dust212–12-0.0223%26 Jul →
dust213–9-0.0314%11 Jul →
anubis1–13-0.104%11 Jul →
dust213–11-0.0424%11 Jul →
mirage5–10.2332%11 Jul →
mirage13–10-0.0215%11 Jul →
cache13–9-0.0220%11 Jul →
shelter9–130.0826%11 Jul →
mirage13–80.1624%11 Jul →
dust29–13-0.0220%10 Jul →
dust213–10-0.0510%10 Jul →
mirage13–40.1220%10 Jul →
dust211–13-0.0013%10 Jul →
inferno4–130.0316%10 Jul →
inferno7–13-0.097%4 Jul →
mirage12–12-0.0512%4 Jul →
dust213–30.0420%4 Jul →
inferno7–13-0.1016%4 Jul →
dust212–7-0.0832%4 Jul →
inferno3–13-0.0919%3 Jul →
mirage10–13-0.0615%3 Jul →
dust213–90.0514%3 Jul →
dust212–12-0.0120%3 Jul →
dust213–80.0216%26 Jun →
dust26–130.0022%21 Jun →
mirage13–9-0.0321%21 Jun →
dust213–50.0322%18 Jun →
dust211–130.0122%13 Jun →
mirage13–20.0221%13 Jun →
inferno13–10-0.087%12 Jun →
dust29–13-0.0117%12 Jun →
dust25–10.0233%12 Jun →
mirage13–70.0320%12 Jun →
dust213–40.1324%12 Jun →
mirage13–30.0410%12 Jun →
dust24–13-0.0722%12 Jun →
nuke8–13-0.1111%5 Jun →
mirage8–13-0.0832%5 Jun →
cache13–6-0.0216%5 Jun →
inferno13–11-0.0926%5 Jun →
dust28–13-0.099%5 Jun →
dust23–13-0.0429%5 Jun →
inferno13–9-0.0117%2 Jun →
dust213–20.0026%2 Jun →
mirage13–50.0224%2 Jun →
dust213–110.0618%2 Jun →
inferno13–7-0.087%29 May →
mirage13–4-0.0710%24 May →
cache9–13-0.0612%24 May →
mirage12–12-0.0323%23 May →
cache7–13-0.130%22 May →
inferno0–7-0.0221%22 May →
dust24–13-0.0437%22 May →
mirage13–5-0.0313%22 May →
inferno13–60.0810%21 May →
mirage13–110.0416%21 May →
dust26–130.0325%21 May →
dust213–100.0422%15 May →
inferno3–13-0.0717%15 May →
mirage13–90.0118%15 May →
cache13–70.0527%15 May →
dust26–13-0.0119%15 May →
cache13–70.0625%15 May →
dust213–80.0524%15 May →
office13–10-0.0422%14 May →
mirage13–6-0.0314%14 May →
dust20–13-0.109%14 May →
inferno11–130.0115%13 May →
dust213–4-0.0312%13 May →
cache10–13-0.0016%13 May →
mirage11–13-0.0612%9 May →
cache2–13-0.0711%9 May →
inferno13–2-0.036%8 May →
mirage6–13-0.1114%8 May →
cache13–90.098%8 May →
cache13–40.0410%5 May →

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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