madnez

madnez — CS2 Stats

76561199222742314[U:1:1262476586]Steam profile ↗✓ No bans

916Tracked matches43%Win rate2022Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating26,012Top 10% of 200,982 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12593 of 247937 tracked
WingmanSilver III
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: 26,012 -465 13 Sept – 30 Sept · 5 days played
26,01226,477peak 26,47713 Sept30 Sept
Faceit ELO: 1,326 +0 28 Aug – 11 Sept · 5 observations
1,3261,326peak 1,32628 Aug11 Sept
26,596Peak Premier in tracked matches
1,326Highest Faceit ELO seen on CSDB
27Days played since 2026-06-06

Faceit ELO

  • At peak — 1,326
  • Next: Level 7 at 1,351 — 25 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

Premier CS Rating

  • 465 below peak (26,477)
  • Next: Gold band at 30,000 — 3,988 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.GGmadnezPREMIER26,012 · Red bandPEAK ELO1,326csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning35
Utility53

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateLLLLLWTLLL

Last 10 vs previous 10: −20pp win rate · +0.05 avg rating · +5.9pp headshot accuracy · −11ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 639ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 593ms

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 (+2.2 against its own average).

Aim7.8
Utility5.3
Positioning3.5
Opening Duels0.0
Clutch3.4

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Reaction time. 605ms 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

Aim7.8
Positioning3.5
Utility5.3
Mechanics5.8
Opening Duels0.0
Win Impact2.6

Composite 5.2/10 (Developing), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−75ms
first ⅓ avg 674ms → last ⅓ avg 598ms
Headshot accuracy19.3%−3.2%
first ⅓ avg 22.5% → last ⅓ avg 19.3%

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

0.17Best match rating · 13–5 · mirage, 4 Jul →
80%Best headshot accuracy · 4–2 · dust2, 4 Sept →
406msFastest reaction time · 6–13 · ancient, 13 Sept →
13–2Biggest win · inferno, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
9–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 61% over 23mirageWeakest map · 25% over 28
MapGradePlayedRecordWin rateAvg rating
mirageD287–2125%-0.02
dust2A2314–961%0.00
infernoD205–1525%-0.04
anubisD82–625%-0.06
ancientC83–538%-0.05
nukeC52–340%-0.03
vertigo—40–40%0.02
cache—21–150%-0.06
shelter—11–0100%0.11
office—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

395Matches
52%Win rate
1.04Avg K/D
65.5ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8954%1.0113.4
Inferno7262%1.1213.4
Ancient5044%0.9412.4
Dust24745%1.0914.7
Overpass2650%0.9513.3
Anubis2548%0.9512.4
Nuke1443%0.8812.4
Vertigo1173%1.0813.3

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.

18.5%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.4%Spray accuracy
76.2%Counter-strafing
7.8°Preaim
605msReaction time
27.0%T opening success
24.7%CT opening success
0.53Enemies flashed / flash
4.7%Flash assists
14.44HE damage / grenade
11.19Flashes / 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 26.9559% — 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 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0522%30 Sept →
mirage5–13-0.0123%29 Sept →
inferno4–13-0.0117%23 Sept →
dust23–13-0.0218%19 Sept →
mirage6–130.0121%19 Sept →
dust213–70.0822%19 Sept →
mirage12–12-0.0122%19 Sept →
dust210–130.0812%19 Sept →
dust25–13-0.0429%19 Sept →
mirage11–13-0.019%19 Sept →
inferno13–2-0.009%19 Sept →
vertigo7–90.0712%19 Sept →
inferno5–9-0.028%19 Sept →
anubis4–13-0.118%18 Sept →
anubis1–13-0.1022%18 Sept →
inferno9–70.0511%18 Sept →
inferno4–9-0.0714%18 Sept →
anubis10–13-0.0620%16 Sept →
mirage18–22-0.0514%13 Sept →
anubis13–11-0.0418%13 Sept →
ancient6–13-0.0115%13 Sept →
mirage13–5-0.0327%13 Sept →
inferno7–13-0.096%8 Sept →
nuke12–12-0.037%8 Sept →
ancient8–7-0.0628%8 Sept →
shelter13–50.1122%4 Sept →
office13–30.0522%4 Sept →
mirage4–13-0.0017%4 Sept →
dust213–50.0518%4 Sept →
inferno13–10-0.0317%4 Sept →
mirage1–13-0.0633%4 Sept →
mirage13–90.0216%4 Sept →
dust24–2-0.0580%4 Sept →
dust213–110.0122%23 Aug →
dust213–90.0318%23 Aug →
vertigo5–130.0218%18 Aug →
ancient7–13-0.0912%17 Aug →
anubis5–13-0.108%17 Aug →
mirage1–13-0.0611%17 Aug →
vertigo4–13-0.059%17 Aug →
dust20–13-0.0711%17 Aug →
dust25–13-0.1010%16 Aug →
mirage8–13-0.114%16 Aug →
mirage1–13-0.1120%16 Aug →
inferno2–13-0.0713%16 Aug →
dust213–4-0.0642%8 Aug →
ancient5–13-0.0629%8 Aug →
mirage13–5-0.0235%8 Aug →
nuke11–13-0.0537%1 Aug →
ancient13–9-0.0320%1 Aug →
inferno6–13-0.0214%1 Aug →
ancient10–13-0.0923%1 Aug →
cache16–14-0.0612%1 Aug →
inferno11–13-0.0419%1 Aug →
cache0–13-0.078%24 Jul →
ancient13–4-0.0115%24 Jul →
mirage13–9-0.0230%24 Jul →
anubis13–7-0.0319%24 Jul →
nuke13–11-0.0318%24 Jul →
dust213–11-0.0220%24 Jul →
inferno13–5-0.0216%24 Jul →
anubis2–13-0.068%21 Jul →
mirage3–13-0.017%21 Jul →
vertigo7–90.056%21 Jul →
inferno2–9-0.140%21 Jul →
nuke8–80.068%21 Jul →
dust211–13-0.013%21 Jul →
ancient9–13-0.064%20 Jul →
inferno6–90.018%20 Jul →
mirage3–13-0.1320%20 Jul →
mirage6–13-0.0711%18 Jul →
dust29–13-0.0121%10 Jul →
dust213–100.0217%10 Jul →
mirage13–40.0217%10 Jul →
inferno7–130.0312%4 Jul →
mirage12–12-0.0125%4 Jul →
dust213–30.0536%4 Jul →
inferno7–13-0.0916%4 Jul →
dust212–7-0.0319%4 Jul →
mirage4–13-0.0037%4 Jul →
mirage13–50.1723%4 Jul →
mirage10–130.0321%4 Jul →
dust213–90.0615%4 Jul →
inferno3–13-0.0612%3 Jul →
mirage10–130.0325%3 Jul →
dust213–9-0.0115%3 Jul →
dust212–120.0744%3 Jul →
mirage4–13-0.1037%30 Jun →
mirage9–130.0222%12 Jun →
inferno13–100.0540%12 Jun →
dust29–130.0239%12 Jun →
dust25–10.0471%12 Jun →
mirage13–70.1027%12 Jun →
mirage8–13-0.0116%8 Jun →
inferno8–8-0.110%8 Jun →
mirage5–13-0.1114%7 Jun →
inferno5–9-0.1110%7 Jun →
nuke13–11-0.0821%7 Jun →
dust213–8-0.0331%6 Jun →
inferno11–13-0.0616%6 Jun →

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 →

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