Madman

Madman — CS2 Stats

CH76561198049600680[U:1:89334952]Steam profile ↗✓ No bans

906Tracked matches72%Win rate2020Tracked since
3,660Hours in CS12Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating24,468Top 25% of 201,122 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#26763 of 247982 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 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: 24,468 +1,404 15 Aug – 30 Sept · 25 days played
20,00024,510peak 24,51015 Aug30 Sept
24,748Peak Premier in tracked matches
35Days played since 2025-08-15

Premier CS Rating

  • 42 below peak (24,510)
  • +4,367 over 30 days · improving
  • Next: Red band at 25,000 — 532 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate55.4%46.9%49.2%above
Shot accuracy20.1%13.0%13.4%above
Kill/death ratio0.911.081.120.21 short
Match win rate45.5%46.7%48.5%3.0% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMadmanPREMIER24,468 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateWLTLWWWWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −27ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 575ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 570ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

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 (+2.3 against its own average).

Aim7.7
Utility5.8
Positioning6.8
Opening Duels5.3
Clutch0.0

Effective flashesLimited 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 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 570ms 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

Aim7.7
Positioning6.8
Utility5.8
Mechanics7.2
Opening Duels6.2
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time574ms−55ms
first ⅓ avg 629ms → last ⅓ avg 574ms
Headshot accuracy14.9%−1.9%
first ⅓ avg 16.8% → last ⅓ avg 14.9%

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

0.13Best match rating · 13–6 · overpass, 19 Aug →
32%Best headshot accuracy · 13–5 · dust2, 10 Jul →
422msFastest reaction time · 9–13 · ancient, 11 Sept →
13–0Biggest win · inferno, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 75% over 12ancientWeakest map · 44% over 25
MapGradePlayedRecordWin rateAvg rating
ancientC2511–1444%-0.00
dust2A2112–957%0.01
infernoS1511–473%0.02
overpassB136–746%0.03
cacheS129–375%0.00
anubisS64–267%0.04
mirageA53–260%-0.00
nuke—30–30%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,617Lifetime kills
0.91K/D
4,238Matches
45.5%Match win rate
55.4%Headshot % · Top 25% of Pink band
20.1%Shot accuracy · Top 5% of Pink band
11,065MVPs
4,481Hours (in match)
3,956Bombs planted
1,098Bombs defused

Most-used weapons

AK-4766,719
AWP6,769
P2502,372
MP91,942
UMP-451,840

Lifetime map wins

5,414dust2
4,089inferno
3,041cbble
1,532vertigo
716nuke
287train
40bank
36lake

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

Faceit stats

Combat

1,061Matches
52%Win rate
1.07Avg K/D
86.4ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22100%1.4821.0
Mirage1100%1.5015.0
Cache10%0.8612.0
Ancient10%0.539.0

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.

14.5%Headshot accuracy
39.1%Accuracy (enemy spotted)
42.3%Spray accuracy
82.4%Counter-strafing
10.1°Preaim
570msReaction time
60.6%T opening success
49.3%CT opening success
0.70Enemies flashed / flash
11.6%Flash assists
9.97HE damage / grenade
4.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5116% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

44% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0312%30 Sept →
ancient10–13-0.047%30 Sept →
cache15–15-0.0113%28 Sept →
cache3–13-0.0911%28 Sept →
ancient13–60.0210%28 Sept →
mirage16–130.0621%27 Sept →
inferno13–00.0618%27 Sept →
cache13–4-0.0120%27 Sept →
mirage7–13-0.0215%27 Sept →
cache13–50.1015%26 Sept →
cache13–5-0.0119%26 Sept →
ancient7–13-0.006%26 Sept →
cache13–10-0.0512%26 Sept →
inferno10–130.0620%25 Sept →
cache13–50.034%24 Sept →
mirage13–70.0018%24 Sept →
dust213–90.0115%24 Sept →
cache13–110.026%13 Sept →
inferno13–20.069%13 Sept →
anubis13–60.0022%13 Sept →
anubis13–20.0715%13 Sept →
ancient13–50.017%13 Sept →
dust27–130.0521%11 Sept →
ancient9–13-0.0110%11 Sept →
dust213–11-0.0321%8 Sept →
ancient13–11-0.059%8 Sept →
dust212–160.0026%6 Sept →
anubis13–70.0322%29 Aug →
anubis13–80.0613%29 Aug →
cache13–30.0217%29 Aug →
dust21–130.0414%29 Aug →
dust213–80.0620%29 Aug →
dust213–80.0925%29 Aug →
dust213–110.0325%29 Aug →
ancient13–3-0.0317%29 Aug →
ancient10–13-0.0228%27 Aug →
ancient3–130.0222%27 Aug →
ancient9–13-0.042%25 Aug →
cache13–11-0.0112%25 Aug →
mirage2–13-0.0614%22 Aug →
dust24–13-0.0218%22 Aug →
ancient13–10-0.0325%21 Aug →
cache13–10-0.0112%21 Aug →
cache14–160.0720%21 Aug →
ancient9–13-0.0515%14 Aug →
anubis8–130.0717%20 Jul →
anubis15–150.0313%20 Jul →
dust213–70.0327%17 Jul →
ancient1–130.0026%10 Jul →
dust213–5-0.0032%10 Jul →
dust215–15-0.0226%10 Jul →
dust213–9-0.0123%3 Jul →
mirage13–8-0.0028%16 May →
ancient13–30.0312%18 Apr →
inferno15–15-0.0416%11 Sept →
dust210–13-0.0314%11 Sept →
ancient7–13-0.0216%11 Sept →
inferno11–130.0514%10 Sept →
ancient13–50.0120%10 Sept →
overpass13–100.0216%10 Sept →
dust25–13-0.0610%10 Sept →
inferno15–150.0514%29 Aug →
inferno13–30.0319%29 Aug →
overpass11–13-0.0125%29 Aug →
overpass13–160.0122%28 Aug →
inferno13–70.0324%26 Aug →
overpass15–150.0522%26 Aug →
inferno13–60.0625%26 Aug →
overpass8–13-0.0412%25 Aug →
ancient5–130.0214%25 Aug →
inferno13–10-0.0413%22 Aug →
overpass10–130.0317%21 Aug →
ancient13–7-0.0015%21 Aug →
inferno13–8-0.0623%21 Aug →
dust211–130.0223%20 Aug →
ancient10–130.0110%20 Aug →
overpass13–60.1311%19 Aug →
dust213–11-0.0313%19 Aug →
overpass11–130.018%19 Aug →
overpass7–13-0.0018%18 Aug →
inferno13–70.0015%18 Aug →
ancient14–160.0110%18 Aug →
dust213–90.0221%16 Aug →
inferno13–10-0.0211%16 Aug →
nuke3–130.0415%16 Aug →
ancient13–70.0314%16 Aug →
inferno13–9-0.0110%16 Aug →
dust213–70.0630%16 Aug →
ancient8–13-0.0014%16 Aug →
dust213–80.0426%16 Aug →
ancient13–100.0529%16 Aug →
ancient11–13-0.0312%16 Aug →
nuke10–13-0.0116%16 Aug →
nuke5–13-0.0815%16 Aug →
overpass16–140.0718%15 Aug →
overpass13–100.0621%15 Aug →
overpass13–60.0417%15 Aug →
overpass13–90.0721%15 Aug →
ancient13–50.0826%15 Aug →
dust213–160.0013%15 Aug →

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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