drugrehab

drugrehab — CS2 Stats

MO76561199500410631[U:1:1540144903]Steam profile ↗✓ No bans

217Tracked matches80%Win rate2023Tracked since
133Hours in CS
CSDB Rating6.9 SolidSupport
Premier CS Rating26,066Top 10% of 215,248 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#13539 of 261499 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 217 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,066 +3,657 4 Jun – 16 Sept · 20 days played
12,54726,066peak 26,0664 Jun16 Sept
26,066Peak Premier in tracked matches
43Days played since 2025-06-04

Premier CS Rating

  • At peak — 26,066
  • 0 over 30 days · steady
  • +9,383 over 90 days
  • Next: Gold band at 30,000 — 3,934 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-13
  • Pink band first seen 2026-09-13

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate42.3%49.3%50.9%8.7% short
Shot accuracy5.1%13.4%11.8%6.7% short
Kill/death ratio0.951.121.180.23 short
Match win rate67.9%48.5%51.9%above

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

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

Share this profile

CSDB.GGdrugrehabPREMIER26,066 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning59
Utility62

0–100 skill scores via Leetify.

Recent form

HOT75–25Last 10075%Win rateWWLWWWWWWW

Last 10 vs previous 10: 0pp win rate · −0.07 avg rating · −0.9pp headshot accuracy · +104ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 509ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 544ms

Last 20

  • 18–2 · 90% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 492ms

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 against its own average).

Aim8.6
Utility6.2
Positioning5.9
Opening Duels3.6

Sharp aimerEffective 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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.6
Positioning5.9
Utility6.2
Mechanics3.7
Opening Duels3.2
Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06+0.07
first ⅓ avg -0.01 → last ⅓ avg 0.06
Reaction time438ms−199ms
first ⅓ avg 637ms → last ⅓ avg 438ms
Headshot accuracy22.6%+6.4%
first ⅓ avg 16.2% → last ⅓ avg 22.6%

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

0.23Best match rating · 13–4 · dust2, 27 Jul →
43%Best headshot accuracy · 4–0 · cache, 10 Aug →
250msFastest reaction time · 13–11 · anubis, 9 Aug →
13–0Biggest win · dust2, 27 Jul →

Across the last 100 tracked matches.

Highlights

19Longest win streak
W2Current streak
7–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 100% over 8trainWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S1713–476%0.03
ancientS128–467%-0.00
anubisS129–375%0.03
cacheS107–370%0.04
nukeS107–370%0.02
mirageS98–189%-0.00
infernoS88–0100%0.00
trainC73–443%-0.03
officeS64–267%-0.00
overpassS54–180%0.03
vertigo—22–0100%0.05
agency—22–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

6,805Lifetime kills
0.95K/D
527Matches
67.9%Match win rate · Top 5% of Red band
42.3%Headshot %
5.1%Shot accuracy
1,124MVPs
133Hours (in match)
378Bombs planted
73Bombs defused

Most-used weapons

Lifetime map wins

811dust2
581inferno
456nuke
410vertigo
234train
219office
18cbble
9lake

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.

21.3%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.3%Spray accuracy
66.9%Counter-strafing
6.8°Preaim
427msReaction time
37.5%T opening success
48.2%CT opening success
0.83Enemies flashed / flash
10.6%Flash assists
14.02HE damage / grenade
7.02Flashes / 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 37.5071% — below the 40% mark we flag

Spend your practice time on Train

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–10.1720%15 Aug →
cache13–20.0524%15 Aug →
train5–13-0.069%12 Aug →
train13–11-0.0514%12 Aug →
mirage16–12-0.0810%11 Aug →
nuke13–4-0.0122%11 Aug →
mirage13–20.0228%11 Aug →
mirage13–3-0.0738%11 Aug →
dust213–6-0.0135%10 Aug →
nuke13–100.0519%10 Aug →
cache13–70.0427%10 Aug →
dust213–40.1126%10 Aug →
cache4–0-0.0043%10 Aug →
ancient13–70.0716%10 Aug →
dust213–40.0414%10 Aug →
anubis16–120.1716%9 Aug →
dust213–110.0427%9 Aug →
mirage13–60.0721%9 Aug →
nuke13–40.0629%9 Aug →
nuke8–130.119%9 Aug →
anubis13–110.0817%9 Aug →
dust26–7-0.0129%9 Aug →
ancient13–80.1018%9 Aug →
dust22–70.0133%6 Aug →
dust213–100.1024%6 Aug →
ancient11–130.1238%5 Aug →
cache13–40.2015%5 Aug →
cache10–130.0520%5 Aug →
cache13–20.0013%5 Aug →
cache13–50.1518%30 Jul →
anubis13–100.095%27 Jul →
dust213–40.2333%27 Jul →
anubis13–50.1335%27 Jul →
anubis13–30.2123%27 Jul →
dust213–00.180%27 Jul →
cache12–16-0.0612%12 Jul →
mirage5–90.098%12 Jul →
office8–130.0516%8 Jul →
office13–100.017%8 Jul →
dust213–11-0.0414%5 Jul →
office13–11-0.0319%4 Jul →
cache5–13-0.074%4 Jul →
office8–13-0.0623%4 Jul →
cache13–7-0.0113%1 Jul →
nuke4–11-0.0019%25 Jun →
mirage13–60.009%25 Jun →
ancient4–10-0.0812%25 Jun →
dust26–13-0.1017%24 Jun →
ancient13–1-0.0625%20 Jun →
nuke13–00.014%20 Jun →
mirage13–0-0.0415%20 Jun →
inferno13–00.0319%18 Jun →
inferno13–30.039%17 Jun →
train11–13-0.0211%17 Jun →
train11–13-0.0611%17 Jun →
train2–13-0.0816%17 Jun →
nuke13–10-0.028%15 Jun →
ancient2–13-0.0713%15 Jun →
nuke13–60.0420%14 Jun →
mirage13–11-0.0212%14 Jun →
inferno13–10-0.0510%10 Dec →
overpass13–50.1120%10 Dec →
ancient13–70.075%10 Dec →
overpass9–130.085%10 Dec →
ancient2–13-0.0712%10 Dec →
train13–4-0.0212%8 Nov →
nuke13–10-0.0415%7 Nov →
dust213–20.0016%7 Nov →
inferno13–5-0.0623%7 Nov →
vertigo13–20.1311%22 Oct →
vertigo13–6-0.0214%22 Oct →
mirage13–30.0014%20 Oct →
inferno4–2-0.0625%18 Oct →
dust213–10.0540%18 Oct →
inferno13–2-0.0511%18 Oct →
dust213–00.0113%18 Oct →
anubis5–1-0.0022%17 Oct →
anubis13–6-0.0113%17 Oct →
office13–100.0514%3 Oct →
office13–4-0.0318%3 Oct →
overpass13–6-0.087%24 Sept →
train13–30.0833%10 Sept →
ancient13–6-0.0714%2 Sept →
overpass4–1-0.0212%2 Sept →
anubis7–13-0.0514%22 Aug →
anubis5–130.0114%22 Aug →
agency13–80.0711%10 Aug →
nuke1–4-0.0333%21 Jul →
dust213–5-0.0520%21 Jul →
ancient13–4-0.0120%21 Jul →
overpass13–00.0622%21 Jul →
inferno13–10.0429%21 Jul →
dust213–7-0.0110%8 Jul →
anubis7–2-0.110%7 Jul →
anubis13–3-0.089%29 Jun →
anubis7–13-0.0319%26 Jun →
ancient13–50.0111%21 Jun →
agency13–10-0.109%16 Jun →
ancient13–10-0.0211%13 Jun →
dust27–13-0.065%4 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches19-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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