Yorgi

Yorgi — CS2 Stats

US76561198804373775[U:1:844108047]Steam profile ↗✓ No bans

425Tracked matches48%Win rate2020Tracked since
985Hours in CS6Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating16,771Purple band · top ~21.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,771 +1,659 9 Sept – 9 Nov · 31 days played
15,11218,144peak 18,1449 Sept9 Nov
18,144Peak Premier in tracked matches
34Days played since 2026-09-09

Premier CS Rating

  • 1,373 below peak (18,144)
  • +13 over 30 days · steady
  • Next: Pink band at 20,000 — 3,229 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.4%44.4%46.9%2.6% short
Shot accuracy10.2%11.9%13.0%2.7% short
Kill/death ratio1.091.031.08meets
Match win rate45.0%45.2%46.7%1.7% short

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

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

Share this profile

CSDB.GGYorgiPREMIER16,771 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning70
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLLWLWLTWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +4.6pp headshot accuracy · −28ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 522ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

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 (+1.7 against its own average).

Aim8.2
Utility5.1
Positioning7.0
Opening Duels3.8

Effective flashes

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 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 69% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 558ms 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

Aim8.2
Positioning7.0
Utility5.1
Mechanics8.0
Opening Duels6.0
Win Impact4.4

Composite 6.9/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time561ms−35ms
first ⅓ avg 596ms → last ⅓ avg 561ms
Headshot accuracy13.2%−6.1%
first ⅓ avg 19.2% → last ⅓ avg 13.2%

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

0.25Best match rating · 13–2 · dust2, 27 Sept →
50%Best headshot accuracy · 6–3 · dust2, 1 Oct →
313msFastest reaction time · 1–8 · ancient, 1 Nov →
13–1Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
10–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 80% over 20nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%0.02
cacheS2016–480%0.02
mirageB157–847%0.00
ancientB126–650%-0.00
anubisA95–456%0.01
nukeC83–538%0.02
infernoC83–538%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,712Lifetime kills
1.09K/D · Top 50% of Purple band
1,318Matches
45.0%Match win rate
44.4%Headshot % · Top 50% of Purple band
10.2%Shot accuracy
3,094MVPs
463Hours (in match)
1,120Bombs planted
321Bombs defused

Most-used weapons

Lifetime map wins

4,130dust2
826inferno
715nuke
486train
62vertigo
46cbble
40office
20lake

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.

13.1%Headshot accuracy
39.0%Accuracy (enemy spotted)
41.7%Spray accuracy
86.0%Counter-strafing
8.5°Preaim
558msReaction time
69.3%T opening success
38.8%CT opening success
0.73Enemies flashed / flash
5.0%Flash assists
8.16HE damage / grenade
7.80Flashes / 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 13.069% — 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 38.8351% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–11-0.0219%9 Nov →
dust27–130.0316%6 Nov →
dust29–13-0.0212%6 Nov →
mirage16–14-0.0119%6 Nov →
inferno4–130.0510%3 Nov →
mirage13–50.0115%3 Nov →
ancient1–8-0.0817%1 Nov →
mirage15–15-0.0221%1 Nov →
cache13–70.0220%31 Oct →
cache13–90.0416%27 Oct →
cache13–50.0614%20 Oct →
nuke8–130.0513%20 Oct →
mirage7–130.0113%19 Oct →
mirage5–13-0.0217%15 Oct →
dust210–13-0.059%15 Oct →
dust210–13-0.019%15 Oct →
cache13–60.017%14 Oct →
nuke13–70.0315%14 Oct →
nuke13–70.119%14 Oct →
cache13–100.0313%13 Oct →
dust213–11-0.0114%12 Oct →
mirage13–70.038%12 Oct →
ancient11–130.007%11 Oct →
ancient1–9-0.0413%11 Oct →
cache7–13-0.026%11 Oct →
anubis13–60.058%11 Oct →
inferno13–90.0216%11 Oct →
nuke9–13-0.0010%10 Oct →
dust216–140.0112%10 Oct →
dust29–130.0513%10 Oct →
inferno4–130.0717%9 Oct →
cache2–13-0.069%9 Oct →
dust27–130.0417%9 Oct →
anubis9–130.0210%8 Oct →
mirage13–100.0123%8 Oct →
nuke8–13-0.0319%8 Oct →
mirage16–14-0.0211%8 Oct →
dust210–130.0514%6 Oct →
ancient16–120.0011%5 Oct →
mirage3–13-0.057%4 Oct →
inferno7–20.029%4 Oct →
cache13–10-0.067%4 Oct →
inferno3–13-0.0812%3 Oct →
anubis13–100.0512%3 Oct →
anubis6–13-0.0814%3 Oct →
anubis15–150.028%3 Oct →
ancient12–8-0.0221%3 Oct →
inferno13–8-0.0412%3 Oct →
mirage12–160.0010%3 Oct →
cache13–80.1410%3 Oct →
dust213–40.0618%3 Oct →
cache16–140.0515%3 Oct →
dust24–13-0.0314%3 Oct →
inferno4–13-0.008%3 Oct →
dust213–40.0615%2 Oct →
anubis4–13-0.066%2 Oct →
mirage13–8-0.0111%1 Oct →
nuke10–13-0.0218%1 Oct →
mirage5–130.0117%1 Oct →
dust26–3-0.0750%1 Oct →
ancient13–110.0721%1 Oct →
cache13–50.0822%1 Oct →
dust29–13-0.0117%30 Sept →
dust28–130.0615%30 Sept →
inferno14–160.0013%28 Sept →
cache13–40.0019%28 Sept →
cache13–80.1430%28 Sept →
dust22–8-0.0150%28 Sept →
dust216–13-0.0118%27 Sept →
dust213–110.0016%27 Sept →
cache16–140.0220%27 Sept →
cache5–13-0.0720%27 Sept →
ancient10–13-0.008%27 Sept →
dust213–20.2524%27 Sept →
ancient14–160.0815%26 Sept →
dust28–13-0.0513%26 Sept →
ancient13–10-0.0216%26 Sept →
cache13–90.0811%26 Sept →
cache8–13-0.0027%26 Sept →
mirage13–20.0414%26 Sept →
ancient13–70.029%26 Sept →
dust27–13-0.0239%25 Sept →
mirage9–13-0.006%25 Sept →
dust213–80.0623%24 Sept →
anubis13–6-0.0118%23 Sept →
ancient1–130.0218%23 Sept →
cache13–11-0.0127%21 Sept →
dust29–130.0118%18 Sept →
dust25–13-0.0319%17 Sept →
dust213–50.0019%17 Sept →
cache13–11-0.0210%17 Sept →
cache13–30.027%17 Sept →
nuke13–20.0613%17 Sept →
anubis13–60.0422%17 Sept →
ancient13–9-0.0613%17 Sept →
anubis13–90.0423%16 Sept →
dust213–80.0620%16 Sept →
dust213–10.0931%16 Sept →
dust27–130.0332%16 Sept →
mirage10–130.0415%15 Sept →

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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