Dr0cA

Dr0cA — CS2 Stats

BR76561198858084256[U:1:897818528]Steam profile ↗✓ No bans

988Tracked matches47%Win rate2020Tracked since
4,126Hours in CS24Hrs last 2 wks
CSDB Rating5.9 SolidSupport
FaceitLevel 9 · 1,989 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,989 → 1,989
+18Tracked matches · now 988
+10.0ppWin rate · 36.7% → 46.7%

Rating over time

Faceit ELO: 1,989 +0 1 Sept – 19 Sept · 3 observations
1,9891,989peak 1,9891 Sept19 Sept
1,989Highest Faceit ELO seen on CSDB
47Days played since 2026-06-12

Faceit ELO

  • At peak — 1,989
  • Next: Level 10 at 2,001 — 12 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate43.9%48.2%50.9%7.0% short
Shot accuracy16.8%13.3%13.7%above
Kill/death ratio0.961.071.090.13 short
Match win rate37.1%46.9%48.4%11.3% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDr0cAFACEITLevel 9 · 1,989 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,989csdb.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

Aim88
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

COLD45–55Last 10045%Win rateWLWWLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −8ms reaction

Win rate down 40pp 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 -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 503ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 506ms

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 (+1.3 against its own average).

Aim8.8
Utility5.7
Positioning5.2
Opening Duels2.9
Clutch3.8

Sharp aimer

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 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 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.

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

Aim8.8
Positioning5.2
Utility5.7
Mechanics6.8
Opening Duels2.2
Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time519ms−76ms
first ⅓ avg 595ms → last ⅓ avg 519ms
Headshot accuracy19.7%−2.8%
first ⅓ avg 22.4% → last ⅓ avg 19.7%

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

0.15Best match rating · 13–1 · inferno, 26 Jul →
52%Best headshot accuracy · 6–13 · anubis, 13 Jun →
375msFastest reaction time · 11–13 · inferno, 29 Aug →
13–1Biggest win · inferno, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–13In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
ancientC2912–1741%0.00
infernoC2710–1737%-0.00
anubisB2312–1152%0.01
cacheA53–260%-0.03
mirageA53–260%0.04
vertigo—42–250%0.05
overpass—43–175%0.00
dust2—20–20%-0.00
nuke—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,012Lifetime kills
0.96K/D
4,768Matches
37.1%Match win rate
43.9%Headshot %
16.8%Shot accuracy · Top 25% of Level 9 players
10,657MVPs
2,375Hours (in match)
3,612Bombs planted
1,692Bombs defused

Most-used weapons

AK-4750,448
AWP19,484
SG 5535,370
AUG2,375
P2502,293

Lifetime map wins

10,838inferno
2,890train
2,290dust2
1,355nuke
1,283vertigo
171office
144cbble
100italy

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

Faceit stats

Combat

1,747Matches
50%Win rate
1.04Avg K/D
76.3ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno25351%1.0216.0
Ancient23752%1.0415.6
Anubis15146%1.1116.4
Mirage9247%1.1216.7
Dust27438%0.9013.9
Overpass6955%1.0416.7
Nuke3845%0.9515.2
Cache2040%0.9715.6

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.

20.3%Headshot accuracy
38.7%Accuracy (enemy spotted)
41.3%Spray accuracy
80.7%Counter-strafing
8.6°Preaim
507msReaction time
42.5%T opening success
35.0%CT opening success
0.54Enemies flashed / flash
6.1%Flash assists
8.17HE damage / grenade
9.97Flashes / 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

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

    CT opening duels 35.0484% — 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.

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0512%12 Oct →
cache3–13-0.0616%10 Oct →
ancient13–80.0017%10 Oct →
ancient16–120.0223%8 Oct →
ancient8–13-0.0124%8 Oct →
inferno11–13-0.0534%7 Oct →
ancient22–250.0221%2 Sept →
vertigo6–13-0.0631%2 Sept →
ancient10–13-0.0219%2 Sept →
dust29–130.0312%2 Sept →
mirage13–70.0128%31 Aug →
cache13–40.0120%31 Aug →
nuke8–13-0.0126%31 Aug →
cache13–9-0.0426%30 Aug →
anubis3–130.0115%30 Aug →
ancient13–8-0.0219%30 Aug →
anubis13–11-0.0011%30 Aug →
cache13–90.0322%29 Aug →
inferno11–13-0.0011%29 Aug →
inferno16–14-0.0214%29 Aug →
ancient6–13-0.0524%29 Aug →
vertigo13–90.1021%26 Aug →
inferno13–30.0917%26 Aug →
ancient17–190.0126%25 Aug →
ancient14–16-0.0122%22 Aug →
ancient13–90.0421%22 Aug →
inferno9–130.0122%22 Aug →
vertigo7–130.0128%20 Aug →
vertigo13–30.1316%18 Aug →
inferno11–13-0.079%17 Aug →
ancient9–130.0520%16 Aug →
mirage7–130.0223%11 Aug →
anubis9–13-0.110%5 Aug →
anubis9–13-0.018%29 Jul →
cache6–13-0.0747%29 Jul →
inferno6–13-0.0223%27 Jul →
inferno13–10.1527%26 Jul →
anubis13–40.0310%26 Jul →
anubis13–8-0.0522%26 Jul →
ancient16–19-0.0211%26 Jul →
ancient16–130.0526%24 Jul →
mirage16–140.0726%23 Jul →
anubis16–140.0218%22 Jul →
dust24–13-0.0318%17 Jul →
inferno10–13-0.0611%15 Jul →
inferno11–13-0.0313%12 Jul →
ancient4–13-0.0413%12 Jul →
inferno10–130.0819%12 Jul →
mirage7–130.0217%11 Jul →
anubis13–80.0415%10 Jul →
anubis11–130.0116%10 Jul →
anubis7–13-0.0327%9 Jul →
anubis13–60.0115%9 Jul →
ancient5–13-0.0816%9 Jul →
anubis13–70.0322%9 Jul →
inferno10–13-0.049%9 Jul →
anubis12–160.0016%7 Jul →
ancient4–130.0323%7 Jul →
inferno13–11-0.0321%6 Jul →
anubis10–13-0.0210%6 Jul →
ancient7–13-0.0327%6 Jul →
anubis16–140.0117%4 Jul →
overpass13–110.0518%4 Jul →
anubis16–130.0523%3 Jul →
ancient13–70.0720%2 Jul →
ancient13–6-0.0114%2 Jul →
inferno11–13-0.059%2 Jul →
inferno13–9-0.0620%1 Jul →
anubis5–13-0.0311%1 Jul →
mirage13–50.079%26 Jun →
overpass22–180.0419%26 Jun →
ancient11–13-0.0324%25 Jun →
anubis13–80.0236%25 Jun →
inferno13–20.1326%21 Jun →
overpass13–70.0213%21 Jun →
ancient7–130.0014%21 Jun →
anubis13–40.1228%20 Jun →
inferno13–40.0214%20 Jun →
ancient13–90.0320%19 Jun →
inferno8–13-0.0317%19 Jun →
inferno14–160.0535%19 Jun →
anubis13–16-0.0319%19 Jun →
inferno10–130.0234%18 Jun →
anubis9–130.0419%17 Jun →
ancient13–110.0121%17 Jun →
ancient11–130.0418%16 Jun →
overpass7–13-0.1017%16 Jun →
ancient13–110.0320%16 Jun →
inferno7–13-0.0516%16 Jun →
ancient13–40.1138%16 Jun →
ancient10–13-0.0635%16 Jun →
anubis13–70.0913%15 Jun →
ancient13–100.0021%15 Jun →
inferno14–160.0415%14 Jun →
inferno13–11-0.0422%14 Jun →
inferno11–130.0330%14 Jun →
anubis6–13-0.0352%13 Jun →
inferno13–9-0.0017%13 Jun →
inferno5–13-0.0233%12 Jun →
ancient7–13-0.0314%12 Jun →

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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