madness

madness — CS2 Stats

PH76561199194477575[U:1:1234211847]Steam profile ↗✓ No bans

2,805Tracked matches67%Win rate2022Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating17,612Purple band · top ~18% of ranked players (population est.)
FaceitLevel 7 · 1,087 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 17,612 -5,943 26 Jul – 14 Nov · 27 days played
16,73923,555peak 23,55526 Jul14 Nov
Faceit ELO: 1,087 +0 14 Sept – 23 Oct · 5 observations
1,0871,087peak 1,08714 Sept23 Oct
23,555Peak Premier in tracked matches
1,087Highest Faceit ELO seen on CSDB
36Days played since 2026-07-26

Faceit ELO

  • At peak — 1,087
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 114 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-14
  • Level 4 first seen 2026-09-14

Premier CS Rating

  • 5,943 below peak (23,555)
  • -736 over 30 days · declining
  • -1,931 over 90 days
  • Next: Pink band at 20,000 — 2,388 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGmadnessFACEITLevel 7 · 1,087 ELOSTANDINGTop 42.3% of rankedPREMIER17,612 · Purple band30 DAYS0 ELOPEAK ELO1,087csdb.gg/stats

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Performance scores

Aim51
Positioning44
Utility30

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWWWWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +6.7pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 510ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 515ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 529ms

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 (+1.5 against its own average).

Aim5.1
Utility3.0
Positioning4.4
Opening Duels0.0
Clutch4.4

Limited 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

iM

Plays most like iM 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 45% on T to 29% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 65% 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

Aim5.1
Positioning4.4
Utility3.0
Mechanics3.3
Opening Duels1.9
Win Impact10.0

Composite 4.5/10 (Developing), 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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time532ms+2ms
first ⅓ avg 531ms → last ⅓ avg 532ms
Headshot accuracy12.7%−0.7%
first ⅓ avg 13.4% → last ⅓ avg 12.7%

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, 24 Sept →
43%Best headshot accuracy · 7–4 · anubis, 8 Aug →
352msFastest reaction time · 13–4 · inferno, 10 Oct →
13–2Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
9–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 74% over 23mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientS2317–674%-0.00
infernoA2113–862%0.00
nukeD185–1328%0.00
anubisA106–460%-0.01
cacheD93–633%-0.02
mirageD82–625%-0.01
overpass—33–0100%-0.02
dust2—31–233%-0.05
vertigo—30–30%0.01
office—10–10%-0.02
debris—10–10%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

125Matches
58%Win rate
0.94Avg K/D
64.0ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3358%1.0112.6
Anubis3053%0.9813.1
Ancient2864%0.8711.9
Nuke1173%0.8011.7
Cache956%0.7511.0
Mirage683%1.3216.0
Dust2540%1.1113.4
Vertigo30%0.375.7

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.

13.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
30.2%Spray accuracy
64.8%Counter-strafing
9.3°Preaim
528msReaction time
45.0%T opening success
29.4%CT opening success
0.37Enemies flashed / flash
0.9%Flash assists
8.49HE damage / grenade
1.84Flashes / 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 13.4843% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3723 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.4471% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0719%14 Nov →
inferno16–140.0024%14 Nov →
ancient13–11-0.0411%14 Nov →
anubis13–90.014%10 Nov →
nuke13–160.0118%8 Nov →
mirage5–130.0422%6 Nov →
overpass13–100.006%29 Oct →
ancient13–90.0019%29 Oct →
nuke13–7-0.0313%27 Oct →
inferno16–13-0.0123%27 Oct →
cache2–13-0.117%16 Oct →
inferno13–110.0013%15 Oct →
cache13–10-0.026%15 Oct →
inferno13–11-0.048%15 Oct →
anubis5–13-0.038%10 Oct →
ancient13–90.0815%10 Oct →
dust23–13-0.096%10 Oct →
inferno13–40.0913%10 Oct →
cache13–80.046%10 Oct →
dust210–13-0.009%10 Oct →
nuke11–130.0615%6 Oct →
nuke13–50.0415%6 Oct →
mirage12–16-0.0819%3 Oct →
inferno13–40.0713%3 Oct →
cache8–13-0.006%29 Sept →
ancient13–8-0.0410%24 Sept →
ancient13–80.0717%24 Sept →
cache13–100.0411%24 Sept →
ancient13–40.1521%24 Sept →
vertigo1–50.0427%24 Sept →
nuke9–13-0.023%24 Sept →
nuke3–9-0.200%23 Sept →
overpass5–2-0.0211%23 Sept →
nuke6–13-0.048%23 Sept →
inferno12–120.0112%23 Sept →
mirage7–13-0.0712%23 Sept →
anubis13–60.0816%21 Sept →
inferno13–8-0.049%21 Sept →
office10–13-0.0228%20 Sept →
cache2–13-0.0525%20 Sept →
nuke4–13-0.0334%20 Sept →
anubis1–7-0.0318%17 Sept →
nuke9–130.0414%12 Sept →
ancient9–13-0.0319%9 Sept →
inferno13–10-0.0622%9 Sept →
ancient12–12-0.0014%9 Sept →
cache12–12-0.0313%9 Sept →
anubis13–10-0.049%7 Sept →
nuke8–13-0.0030%27 Aug →
inferno13–50.1434%27 Aug →
mirage13–30.0422%27 Aug →
debris7–90.0823%27 Aug →
inferno9–70.0741%27 Aug →
ancient9–130.1013%21 Aug →
ancient13–30.037%21 Aug →
inferno11–130.0414%21 Aug →
inferno7–13-0.029%15 Aug →
nuke13–60.0415%15 Aug →
inferno13–100.0311%15 Aug →
ancient13–10-0.0112%15 Aug →
inferno13–20.068%15 Aug →
ancient14–16-0.0322%15 Aug →
nuke1–50.0813%15 Aug →
mirage7–130.038%14 Aug →
ancient13–5-0.0111%14 Aug →
overpass13–11-0.032%14 Aug →
ancient13–10-0.0723%13 Aug →
ancient13–11-0.0314%13 Aug →
ancient13–11-0.0318%12 Aug →
ancient13–80.006%10 Aug →
ancient11–13-0.073%10 Aug →
anubis9–13-0.099%10 Aug →
ancient13–5-0.0122%10 Aug →
anubis8–13-0.0014%9 Aug →
nuke13–100.0517%9 Aug →
dust213–10-0.0615%9 Aug →
anubis7–40.0143%8 Aug →
vertigo6–90.0111%8 Aug →
cache11–13-0.0210%8 Aug →
nuke1–7-0.060%8 Aug →
inferno13–7-0.005%7 Aug →
inferno13–16-0.0112%6 Aug →
ancient13–4-0.0016%6 Aug →
nuke8–13-0.0116%5 Aug →
ancient16–13-0.0125%5 Aug →
mirage13–90.0412%4 Aug →
nuke3–13-0.0013%4 Aug →
inferno0–2-0.120%4 Aug →
mirage8–13-0.0214%4 Aug →
vertigo5–13-0.0418%4 Aug →
ancient4–13-0.0617%2 Aug →
nuke8–130.0419%2 Aug →
inferno14–16-0.0521%2 Aug →
anubis13–11-0.049%2 Aug →
cache14–16-0.0510%27 Jul →
inferno4–13-0.033%27 Jul →
mirage1–13-0.100%27 Jul →
ancient13–4-0.0011%26 Jul →
anubis16–130.0211%26 Jul →
inferno2–13-0.0825%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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