U Mad

U Mad — CS2 Stats

DE76561198103611977[U:1:143346249]Steam profile ↗✓ No bans

1,438Tracked matches62%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating25,668Top 10% of 204,316 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#14981 of 251456 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (13 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: 25,668 +2,018 9 May – 1 Oct · 30 days played
23,10228,018peak 28,0189 May1 Oct
28,018Peak Premier in tracked matches
55Days played since 2026-05-09

Premier CS Rating

  • 2,350 below peak (28,018)
  • +924 over 30 days · improving
  • -1,691 over 90 days
  • Next: Gold band at 30,000 — 4,332 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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

Share this profile

CSDB.GGU MadFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,668 · Red bandcsdb.gg/stats

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Performance scores

Aim85
Positioning68
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY60–32–8Last 10060%Win rateWLWLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −9ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 543ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 548ms

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 (+1.4 against its own average).

Aim8.5
Utility4.9
Positioning6.8
Opening Duels5.6
Clutch4.2

Sharp aimerLimited 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

jL

Plays most like jL 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

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 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim8.5
Positioning6.8
Utility4.9
Mechanics7.0
Opening Duels4.6
Win Impact9.0

Composite 7.4/10 (Strong), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time548ms−82ms
first ⅓ avg 629ms → last ⅓ avg 548ms
Headshot accuracy18.9%−0.5%
first ⅓ avg 19.4% → last ⅓ avg 18.9%

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

0.11Best match rating · 5–13 · ancient, 29 Jul →
42%Best headshot accuracy · 8–13 · inferno, 28 Jul →
406msFastest reaction time · 9–13 · anubis, 9 Oct →
13–1Biggest win · dust2, 12 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 83% over 6mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheS2417–771%0.02
anubisA1911–858%0.02
infernoS1915–479%0.02
ancientD92–722%0.02
nukeA85–363%-0.01
overpassS65–183%0.05
mirageD51–420%-0.03
train—31–233%0.02
dust2—32–167%0.00
rush_001—10–10%-0.03
vertigo—10–10%-0.02
shelter—11–0100%0.05
alpine—10–10%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,549Matches
52%Win rate
1.11Avg K/D
90.8ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1669%1.2920.1
Inferno1656%1.0515.4
Cache1450%0.9914.7
Nuke786%1.3621.3
Mirage475%1.1918.5
Dust2450%0.9815.3
Ancient450%1.6015.8

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.

18.1%Headshot accuracy
41.3%Accuracy (enemy spotted)
46.2%Spray accuracy
81.4%Counter-strafing
10.5°Preaim
550msReaction time
38.0%T opening success
58.4%CT opening success
0.45Enemies flashed / flash
12.6%Flash assists
8.77HE damage / grenade
2.95Flashes / 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. 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 0.4501 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.9785% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–110.0025%13 Oct →
anubis9–130.0215%9 Oct →
inferno13–80.0518%1 Oct →
overpass10–13-0.0118%1 Oct →
rush_0017–8-0.0329%30 Sept →
train11–130.0419%30 Sept →
overpass13–30.1020%26 Sept →
anubis8–13-0.0420%14 Sept →
vertigo7–13-0.0217%11 Sept →
inferno13–7-0.0116%4 Sept →
cache9–130.0316%3 Sept →
anubis7–130.0413%27 Aug →
cache13–20.0415%26 Aug →
inferno13–6-0.0028%25 Aug →
anubis13–40.1022%20 Aug →
ancient4–13-0.0125%18 Aug →
anubis0–4-0.050%18 Aug →
cache13–100.0420%17 Aug →
inferno13–20.0322%17 Aug →
dust213–5-0.0222%17 Aug →
anubis13–90.0327%16 Aug →
nuke13–11-0.0420%16 Aug →
cache15–150.0313%16 Aug →
inferno13–90.0115%14 Aug →
ancient10–13-0.0417%30 Jul →
anubis13–90.0119%30 Jul →
anubis13–11-0.017%29 Jul →
nuke13–10-0.0510%29 Jul →
ancient5–130.1124%29 Jul →
inferno13–70.0111%29 Jul →
inferno13–90.0124%29 Jul →
anubis13–10-0.0219%29 Jul →
inferno8–13-0.0142%28 Jul →
cache13–7-0.0123%27 Jul →
anubis11–130.0615%27 Jul →
cache13–30.1135%27 Jul →
anubis13–70.0822%26 Jul →
anubis7–13-0.0320%24 Jul →
inferno7–13-0.0025%24 Jul →
ancient15–150.0416%23 Jul →
cache13–30.0519%23 Jul →
inferno9–13-0.0126%16 Jul →
shelter13–80.0521%14 Jul →
anubis1–130.0518%14 Jul →
cache13–6-0.0019%14 Jul →
mirage11–13-0.0123%12 Jul →
dust213–10.0528%12 Jul →
overpass13–70.0918%11 Jul →
cache6–13-0.066%11 Jul →
anubis13–7-0.0411%9 Jul →
nuke13–80.0714%7 Jul →
cache13–50.0716%7 Jul →
anubis13–8-0.0312%7 Jul →
nuke1–13-0.0720%1 Jul →
inferno13–7-0.0024%1 Jul →
mirage13–40.0313%1 Jul →
ancient3–13-0.0619%30 Jun →
inferno13–30.0517%30 Jun →
mirage12–12-0.0810%21 Jun →
ancient11–130.0422%18 Jun →
cache12–12-0.0026%17 Jun →
cache8–130.0318%7 Jun →
cache8–3-0.0321%7 Jun →
dust28–13-0.0220%6 Jun →
mirage12–12-0.0117%6 Jun →
alpine10–130.0018%6 Jun →
inferno5–13-0.0237%3 Jun →
ancient13–90.0112%3 Jun →
overpass13–80.0028%1 Jun →
nuke13–80.0320%1 Jun →
cache12–120.0015%30 May →
nuke5–13-0.0115%29 May →
cache13–40.0624%28 May →
nuke11–13-0.0025%28 May →
nuke13–11-0.0326%27 May →
overpass13–40.0918%27 May →
cache13–80.0233%26 May →
cache13–1-0.0220%25 May →
train7–130.0141%24 May →
cache13–6-0.0141%23 May →
inferno13–90.0917%21 May →
inferno13–90.0018%20 May →
inferno16–120.0728%19 May →
anubis13–70.0312%19 May →
inferno8–10.1013%17 May →
inferno13–70.0011%16 May →
anubis13–60.0113%16 May →
overpass13–70.0116%16 May →
ancient16–120.0926%16 May →
ancient8–13-0.0125%16 May →
inferno13–110.0416%15 May →
cache13–10.0514%10 May →
cache13–80.0713%9 May →
mirage12–12-0.0818%9 May →
cache13–40.0214%9 May →
anubis13–80.0716%9 May →
anubis15–150.027%9 May →
cache8–13-0.0512%9 May →
cache13–90.0517%9 May →
cache13–90.0916%9 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.