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Drah

Drah — CS2 Stats

US76561198278937513[U:1:318671785]Steam profile ↗✓ No bans

1,309Tracked matches63%Win rate2020Tracked since
2,013Hours in CS11Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating22,146Top 50% of 205,416 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#52692 of 252713 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,146 → 22,146
+68Tracked matches · now 1,309
−5.4ppWin rate · 67.9% → 62.5%

Rating over time

Premier CS Rating: 22,146 +0 25 Aug – 2 Sept · 3 days played
22,14622,146peak 22,14625 Aug2 Sept
22,146Peak Premier in tracked matches
13Days played since 2026-08-22

Premier CS Rating

  • At peak — 22,146
  • Next: Red band at 25,000 — 2,854 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.1%46.9%49.3%9.1% short
Shot accuracy12.1%13.0%13.4%1.2% short
Kill/death ratio0.991.081.120.14 short
Match win rate43.8%46.7%48.5%4.7% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGDrahPREMIER22,146 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning42
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY39–43–18Last 10039%Win rateWLLWLWLWLL

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · −6.0pp headshot accuracy · +44ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 624ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 600ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

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).

Aim6.1
Utility2.4
Positioning4.2
Opening Duels2.5
Clutch0.0

Strong CT-side openerLimited 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

donk

Plays most like donk 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim6.1
Positioning4.2
Utility2.4
Mechanics6.5
Opening Duels2.2
Win Impact9.2

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time550ms+10ms
first ⅓ avg 539ms → last ⅓ avg 550ms
Headshot accuracy14.6%+0.5%
first ⅓ avg 14.0% → last ⅓ avg 14.6%

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

0.22Best match rating · 9–1 · inferno, 12 Sept →
41%Best headshot accuracy · 8–8 · inferno, 5 Sept →
344msFastest reaction time · 9–0 · inferno, 12 Sept →
9–0Biggest win · inferno, 12 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–7In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 41% over 83nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC8334–4941%0.00
nukeD72–529%-0.08
vertigo—40–40%-0.08
cache—21–150%-0.02
train—10–10%-0.06
office—10–10%-0.04
rush_001—11–0100%0.11
debris—11–0100%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,670Lifetime kills
0.99K/D
3,462Matches
43.8%Match win rate
40.1%Headshot %
12.1%Shot accuracy
7,028MVPs
905Hours (in match)
3,202Bombs planted
597Bombs defused

Most-used weapons

AK-4712,408
M4A4 / M4A1-S9,091
P2000 / USP-S2,806
AWP2,501
MP92,332
Galil AR2,223
FAMAS1,713
Glock-181,693
Desert Eagle1,674
MAC-101,650

Lifetime map wins

4,612inferno
3,008dust2
2,613nuke
1,370vertigo
937train
782office
225lake
140italy

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

Faceit stats

Combat

14Matches
50%Win rate
0.84Avg K/D
77.1ADR
54%Headshot %

Clutches & streaks

0%1v1 clutch win
14%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis650%0.7812.8
Mirage450%1.0515.5
Dust210%1.0715.0

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.

15.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.9%Spray accuracy
79.2%Counter-strafing
11.8°Preaim
610msReaction time
30.2%T opening success
47.8%CT opening success
0.35Enemies flashed / flash
1.4%Flash assists
5.39HE damage / grenade
3.46Flashes / 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 14.9823% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3515 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.1539% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–50.108%17 Oct →
train8–13-0.0610%13 Oct →
inferno7–9-0.077%10 Oct →
inferno9–70.1911%10 Oct →
office5–13-0.0418%3 Oct →
rush_0018–50.110%2 Oct →
inferno1–9-0.0721%12 Sept →
inferno9–50.0822%12 Sept →
inferno7–9-0.135%12 Sept →
inferno6–9-0.0917%12 Sept →
inferno9–5-0.0623%12 Sept →
inferno9–70.0215%12 Sept →
inferno8–80.0218%12 Sept →
inferno9–00.068%12 Sept →
inferno9–20.1122%12 Sept →
inferno9–20.1121%12 Sept →
inferno9–70.0110%12 Sept →
inferno9–10.2218%12 Sept →
inferno9–50.0116%12 Sept →
inferno9–30.1528%12 Sept →
inferno3–90.000%12 Sept →
inferno9–70.058%12 Sept →
inferno4–9-0.0516%12 Sept →
inferno4–90.0121%12 Sept →
inferno8–80.0411%12 Sept →
inferno8–80.0311%12 Sept →
inferno8–80.1028%12 Sept →
inferno9–10.1419%12 Sept →
inferno9–50.1213%12 Sept →
inferno8–8-0.0426%11 Sept →
inferno9–30.0710%11 Sept →
inferno7–9-0.069%11 Sept →
inferno9–30.0612%11 Sept →
inferno8–80.027%11 Sept →
inferno8–80.0214%11 Sept →
inferno5–9-0.0314%5 Sept →
inferno4–9-0.1314%5 Sept →
inferno8–8-0.0212%5 Sept →
inferno1–9-0.1420%5 Sept →
inferno3–9-0.185%5 Sept →
inferno9–7-0.1014%5 Sept →
vertigo8–8-0.0120%5 Sept →
vertigo2–9-0.109%5 Sept →
inferno3–9-0.1422%5 Sept →
inferno9–50.0715%5 Sept →
vertigo7–90.024%5 Sept →
inferno8–8-0.0441%5 Sept →
inferno4–9-0.1418%5 Sept →
inferno4–9-0.1214%5 Sept →
vertigo1–9-0.210%5 Sept →
inferno3–9-0.216%5 Sept →
nuke5–9-0.0917%5 Sept →
inferno3–9-0.1711%5 Sept →
nuke9–6-0.015%5 Sept →
nuke9–7-0.0723%5 Sept →
inferno8–8-0.0614%5 Sept →
inferno9–50.2116%5 Sept →
inferno6–9-0.0813%5 Sept →
inferno4–9-0.1212%5 Sept →
inferno9–30.0712%5 Sept →
inferno8–80.036%5 Sept →
nuke2–9-0.129%4 Sept →
inferno9–7-0.0610%4 Sept →
nuke8–8-0.0618%4 Sept →
inferno6–90.049%4 Sept →
inferno1–9-0.200%4 Sept →
inferno4–9-0.1415%4 Sept →
inferno6–9-0.1015%4 Sept →
inferno5–9-0.120%29 Aug →
inferno9–70.0615%29 Aug →
inferno9–50.0114%29 Aug →
inferno8–8-0.058%29 Aug →
inferno9–30.0614%29 Aug →
inferno9–70.0813%29 Aug →
inferno7–90.1115%29 Aug →
inferno9–30.1415%29 Aug →
inferno8–80.0714%29 Aug →
inferno4–9-0.0211%29 Aug →
inferno8–80.0510%29 Aug →
inferno4–9-0.0212%27 Aug →
inferno4–9-0.2233%27 Aug →
inferno9–40.0218%27 Aug →
inferno9–30.2121%27 Aug →
nuke3–9-0.1531%27 Aug →
inferno9–20.1118%27 Aug →
inferno8–8-0.0515%27 Aug →
inferno6–90.039%27 Aug →
inferno9–60.0716%27 Aug →
inferno9–30.227%27 Aug →
cache5–13-0.0412%27 Aug →
cache13–10-0.0011%27 Aug →
nuke11–13-0.0513%25 Aug →
debris9–60.109%22 Aug →
inferno5–90.0113%22 Aug →
inferno9–60.1815%22 Aug →
inferno6–9-0.192%22 Aug →
inferno7–9-0.1119%22 Aug →
inferno8–8-0.0317%22 Aug →
inferno9–7-0.0115%22 Aug →
inferno6–9-0.0214%22 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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