macdouken

macdouken — CS2 Stats

DE76561198076326994[U:1:116061266]Steam profile ↗✓ No bans

682Tracked matches55%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating17,958Purple band · top ~16.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 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: 17,958 +5,868 15 May – 8 Oct · 22 days played
11,52317,958peak 17,95815 May8 Oct
18,264Peak Premier in tracked matches
41Days played since 2026-05-15

Premier CS Rating

  • At peak — 17,958
  • +344 over 30 days · steady
  • +5,757 over 90 days
  • Next: Pink band at 20,000 — 2,042 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

Share this profile

CSDB.GGmacdoukenFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,958 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning50
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWLLWWWLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · +27ms reaction

Win rate up 20pp 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 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 541ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

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 (+1.5 against its own average).

Aim5.7
Utility6.5
Positioning5.0
Opening Duels3.5

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

device

Plays most like device 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

Areas to improve

Reaction time. 608ms 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

Aim5.7
Positioning5.0
Utility6.5
Mechanics5.4
Opening Duels3.4
Win Impact6.7

Composite 5.5/10 (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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time616ms−20ms
first ⅓ avg 636ms → last ⅓ avg 616ms
Headshot accuracy21.2%−1.4%
first ⅓ avg 22.6% → 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

0.14Best match rating · 13–11 · train, 20 Jun →
100%Best headshot accuracy · 0–2 · nuke, 17 Aug →
422msFastest reaction time · 11–13 · nuke, 28 Aug →
13–1Biggest win · overpass, 4 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 63% over 19nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2817–1161%-0.01
cacheA1912–763%-0.02
ancientB115–645%-0.00
nukeD113–827%-0.00
infernoB115–645%-0.01
anubisC52–340%-0.01
mirageC52–340%-0.01
vertigo—30–30%-0.04
office—21–150%-0.01
train—21–150%0.08
boulder—11–0100%0.06
fachwerk—11–0100%-0.01
overpass—11–0100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.2%Headshot accuracy
31.7%Accuracy (enemy spotted)
37.6%Spray accuracy
74.1%Counter-strafing
10.8°Preaim
608msReaction time
43.3%T opening success
43.8%CT opening success
0.73Enemies flashed / flash
7.9%Flash assists
10.84HE damage / grenade
10.26Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0519%8 Oct →
ancient5–130.0232%26 Sept →
dust26–130.0819%26 Sept →
cache16–14-0.0017%26 Sept →
cache13–8-0.0211%20 Sept →
dust213–8-0.029%20 Sept →
vertigo10–13-0.0818%31 Aug →
dust210–13-0.0710%31 Aug →
dust213–60.0122%30 Aug →
ancient13–30.0214%30 Aug →
nuke11–130.0224%28 Aug →
dust213–2-0.039%28 Aug →
inferno13–6-0.0232%28 Aug →
cache7–2-0.0320%28 Aug →
inferno1–13-0.0317%28 Aug →
dust210–13-0.0516%27 Aug →
anubis6–13-0.0725%25 Aug →
vertigo12–12-0.0213%25 Aug →
nuke6–130.009%24 Aug →
nuke13–70.0215%24 Aug →
dust25–13-0.056%23 Aug →
mirage10–130.0420%23 Aug →
nuke0–6-0.0520%23 Aug →
dust213–100.0123%23 Aug →
cache16–12-0.0418%20 Aug →
nuke0–2-0.09100%17 Aug →
mirage16–14-0.0435%17 Aug →
dust213–9-0.0311%1 Aug →
dust213–7-0.0219%26 Jul →
dust213–50.0118%26 Jul →
anubis13–80.0526%26 Jul →
cache13–8-0.0438%23 Jul →
anubis7–13-0.0319%22 Jul →
anubis12–12-0.0419%22 Jul →
cache4–13-0.0534%21 Jul →
dust213–60.0027%21 Jul →
ancient7–130.0431%21 Jul →
inferno7–13-0.0821%20 Jul →
dust213–11-0.0129%19 Jul →
inferno8–13-0.0730%19 Jul →
nuke12–120.0113%19 Jul →
dust213–70.0327%18 Jul →
anubis16–130.0430%17 Jul →
dust213–80.0113%16 Jul →
inferno13–9-0.0213%16 Jul →
ancient13–8-0.0416%16 Jul →
ancient9–13-0.0515%16 Jul →
dust211–50.0526%15 Jul →
nuke2–13-0.0325%15 Jul →
dust213–5-0.0813%15 Jul →
cache7–13-0.127%15 Jul →
cache13–10-0.0220%14 Jul →
inferno15–15-0.0020%14 Jul →
inferno5–130.0138%14 Jul →
cache10–130.0929%13 Jul →
dust28–13-0.0311%13 Jul →
nuke9–130.0122%13 Jul →
cache13–100.0430%13 Jul →
dust28–13-0.0224%12 Jul →
cache7–13-0.0230%12 Jul →
nuke3–13-0.0023%11 Jul →
office10–13-0.0317%11 Jul →
dust25–13-0.0621%11 Jul →
dust27–13-0.0421%10 Jul →
office13–80.0026%10 Jul →
dust212–120.0224%9 Jul →
cache13–30.0424%9 Jul →
boulder13–30.0621%9 Jul →
fachwerk13–2-0.0123%9 Jul →
mirage13–80.0631%9 Jul →
mirage10–13-0.0422%9 Jul →
inferno13–90.0527%9 Jul →
cache0–6-0.1150%8 Jul →
dust213–80.0129%8 Jul →
dust213–40.1137%3 Jul →
ancient8–13-0.0217%3 Jul →
cache13–8-0.0134%1 Jul →
dust213–6-0.0425%29 Jun →
cache13–7-0.0117%29 Jun →
ancient16–130.0322%21 Jun →
cache13–70.048%20 Jun →
train13–110.1419%20 Jun →
train10–130.0119%20 Jun →
vertigo11–13-0.0211%5 Jun →
ancient7–13-0.0616%4 Jun →
overpass13–10.0421%4 Jun →
ancient13–60.0715%4 Jun →
cache10–13-0.0627%30 May →
dust212–12-0.039%30 May →
cache11–13-0.0525%30 May →
inferno4–13-0.0814%30 May →
dust29–13-0.0621%30 May →
cache13–100.0320%23 May →
mirage9–13-0.0420%16 May →
nuke13–70.0339%16 May →
inferno13–10.089%16 May →
ancient11–130.0313%16 May →
inferno13–9-0.0019%16 May →
nuke13–10.0836%15 May →
dust213–9-0.0032%15 May →

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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