Dr. Negativ

Dr. Negativ — CS2 Stats

DK76561198441058439[U:1:480792711]Steam profile ↗✓ No bans

5,391Tracked matches60%Win rate2020Tracked since
4,407Hours in CS
CSDB Rating6.7 SolidSupport
Premier CS Rating23,349Top 25% of 211,827 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#39577 of 258844 tracked
FaceitLevel 10 · 2,468 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,349 → 23,349
0Faceit ELO · 2,468 → 2,468
+75Tracked matches · now 5,391
+3.3ppWin rate · 56.7% → 60.0%

Rating over time

23,349Peak Premier on CSDB
2,468Highest Faceit ELO seen on CSDB
69Days played since 2026-02-01

Faceit ELO

  • At peak — 2,468
  • Next: 2,500 ELO at 2,500 — 32 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-13
  • Level 9 first seen 2026-09-13

Premier CS Rating

  • At peak — 23,349
  • Next: Red band at 25,000 — 1,651 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate45.0%50.9%
Shot accuracy14.4%13.7%
Kill/death ratio0.991.09
Match win rate47.0%48.4%

Share this profile

CSDB.GGDr. NegativFACEITLevel 10 · 2,468 ELOSTANDINGTop 12.4% of rankedPREMIER23,349 · Pink bandPEAK ELO2,468csdb.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

Aim81
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWWLLWWLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −13ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 547ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 562ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 568ms

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).

Aim8.1
Utility6.1
Positioning5.7
Opening Duels3.7
Clutch3.6

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 568ms 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

Aim8.1
Positioning5.7
Utility6.1
Mechanics6.7
Opening Duels2.6
Win Impact8.3

Composite 6.7/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time569ms−54ms
first ⅓ avg 623ms → last ⅓ avg 569ms
Headshot accuracy21.2%+0.6%
first ⅓ avg 20.6% → last ⅓ avg 21.2%

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

0.15Best match rating · 13–4 · ancient, 25 May →
40%Best headshot accuracy · 4–13 · dust2, 12 Jul →
391msFastest reaction time · 10–13 · cache, 12 May →
13–3Biggest win · inferno, 20 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 64% over 25nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%-0.01
ancientA2516–964%0.01
anubisD124–833%0.00
mirageB126–650%-0.01
infernoA117–464%0.00
cacheD72–529%0.00
nukeD51–420%-0.06
overpass—21–150%-0.02
rush_001—11–0100%0.13

Across the last 100 tracked matches.

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

Lifetime stats

191,861Lifetime kills
0.99K/D
8,412Matches
47.0%Match win rate
45.0%Headshot %
14.4%Shot accuracy · Top 50% of Level 10 players
21,950MVPs
4,407Hours (in match)
9,916Bombs planted
2,159Bombs defused

Most-used weapons

AK-4763,914
AWP33,422
Knife5,352
FAMAS3,003
SSG 081,954

Lifetime map wins

17,409dust2
13,672inferno
7,132nuke
5,090train
4,660vertigo
170cbble
61lake
17italy

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

Faceit stats

Combat

7,229Matches
50%Win rate
1.05Avg K/D
77.2ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust266152%1.0215.4
Mirage56647%1.0015.4
Ancient55851%1.1316.2
Anubis42546%1.0215.7
Inferno22250%1.0716.2
Nuke12538%1.0116.0
Train8857%1.3217.8
Cache8156%1.1516.1

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.

20.8%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.3%Spray accuracy
80.2%Counter-strafing
8.4°Preaim
568msReaction time
33.0%T opening success
47.9%CT opening success
0.78Enemies flashed / flash
14.2%Flash assists
7.18HE damage / grenade
6.11Flashes / 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 32.9978% — 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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0123%10 Oct →
inferno13–90.0226%7 Oct →
ancient13–110.1127%5 Oct →
cache5–13-0.0323%3 Oct →
inferno4–13-0.1111%3 Oct →
dust213–10-0.0713%3 Oct →
dust213–70.0622%3 Oct →
cache11–13-0.0113%3 Oct →
rush_0018–40.1333%3 Oct →
ancient8–130.0320%24 Sept →
cache13–80.0719%20 Sept →
anubis9–130.0432%20 Sept →
ancient13–60.0013%20 Sept →
dust213–4-0.0425%19 Sept →
ancient13–60.0519%19 Sept →
ancient13–10-0.0314%18 Sept →
ancient5–130.0527%18 Sept →
cache10–13-0.0821%13 Sept →
dust210–13-0.0213%6 Sept →
cache11–130.0226%3 Sept →
dust25–130.0317%29 Aug →
dust213–9-0.0430%25 Aug →
mirage13–70.0126%25 Aug →
nuke5–13-0.0818%25 Aug →
ancient13–110.0420%22 Aug →
dust213–100.0525%15 Aug →
ancient13–50.1119%12 Aug →
ancient13–60.0225%10 Aug →
ancient13–100.0122%9 Aug →
mirage17–19-0.0319%6 Aug →
inferno22–180.0119%2 Aug →
dust28–130.0527%2 Aug →
inferno10–130.0214%1 Aug →
mirage13–110.0725%28 Jul →
dust213–50.0115%28 Jul →
dust28–13-0.077%21 Jul →
mirage4–13-0.0617%20 Jul →
ancient13–7-0.0231%18 Jul →
ancient28–260.0218%18 Jul →
dust213–9-0.0027%17 Jul →
ancient7–130.0621%15 Jul →
inferno13–80.0024%14 Jul →
dust24–13-0.0440%12 Jul →
mirage10–130.0119%8 Jul →
dust25–13-0.0620%8 Jul →
ancient13–100.0426%3 Jul →
inferno13–40.1113%29 Jun →
mirage13–5-0.0317%26 Jun →
ancient11–13-0.0316%20 Jun →
mirage6–13-0.0411%5 Jun →
anubis8–13-0.0227%4 Jun →
ancient9–13-0.0221%3 Jun →
ancient10–130.0219%30 May →
dust213–5-0.0331%29 May →
anubis2–13-0.054%29 May →
dust211–13-0.0811%29 May →
inferno13–11-0.0430%27 May →
dust217–19-0.0220%27 May →
ancient13–40.1539%25 May →
anubis5–13-0.0322%25 May →
anubis25–22-0.0110%25 May →
anubis13–8-0.0118%19 May →
ancient13–10-0.0440%19 May →
dust213–160.0431%17 May →
anubis13–70.0826%16 May →
dust213–90.0930%16 May →
overpass6–13-0.0629%15 May →
inferno13–7-0.0625%14 May →
ancient10–13-0.0529%14 May →
cache10–13-0.0228%12 May →
anubis14–16-0.0120%11 May →
dust25–13-0.0524%10 May →
dust210–130.0325%8 May →
ancient11–13-0.0320%7 May →
anubis17–190.0318%5 May →
mirage11–13-0.0123%5 May →
overpass13–70.0318%4 May →
dust213–90.0024%3 May →
mirage13–90.0222%2 May →
inferno9–130.0123%25 Apr →
cache13–50.0626%24 Apr →
mirage13–11-0.0314%5 Apr →
nuke9–13-0.0531%2 Apr →
dust29–13-0.0318%23 Feb →
mirage13–10-0.0518%22 Feb →
mirage5–13-0.0311%22 Feb →
inferno13–30.0621%20 Feb →
ancient5–13-0.0719%20 Feb →
dust213–80.0115%20 Feb →
inferno11–13-0.028%17 Feb →
nuke13–11-0.0428%17 Feb →
nuke3–13-0.0724%14 Feb →
ancient13–9-0.0014%13 Feb →
ancient13–11-0.0021%8 Feb →
nuke5–13-0.0620%8 Feb →
dust213–60.0120%7 Feb →
anubis13–100.0217%5 Feb →
anubis2–13-0.0330%5 Feb →
anubis5–100.0414%5 Feb →
ancient13–10-0.0615%1 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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