Madheidi

Madheidi — CS2 Stats

NA76561197995678385[U:1:35412657]Steam profile ↗VAC banned

723Tracked matches56%Win rate2021Tracked since
CSDB Rating5.6 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 723 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,361 -638 5 May – 6 Jul · 6 days played
18,53420,503peak 20,5035 May6 Jul
20,662Peak Premier in tracked matches
20Days played since 2026-05-02

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

Performance scores

Aim55
Positioning50
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateLWLTLWWWTL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +94ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 717ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 759ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 712ms

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 (+1.4 against its own average).

Aim5.5
Utility6.1
Positioning5.0
Opening Duels3.0

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

ZywOo

Plays most like ZywOo 78% 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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 713ms 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

Aim5.5
Positioning5.0
Utility6.1
Mechanics7.9
Opening Duels1.9
Win Impact6.9

Composite 5.6/10 (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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time715ms+43ms
first ⅓ avg 672ms → last ⅓ avg 715ms
Headshot accuracy22.4%−3.2%
first ⅓ avg 25.6% → last ⅓ avg 22.4%

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

0.19Best match rating · 13–5 · cache, 22 May →
55%Best headshot accuracy · 13–0 · cache, 2 May →
469msFastest reaction time · 13–1 · inferno, 27 Jun →
13–0Biggest win · cache, 2 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 15ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%-0.01
cacheA2012–860%0.03
dust2A1610–663%-0.01
infernoS1510–567%0.01
nukeB157–847%0.01
ancientC52–340%-0.02
anubis—41–325%-0.02
overpass—32–167%0.02
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient 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.

23.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
30.7%Spray accuracy
85.5%Counter-strafing
10.8°Preaim
713msReaction time
29.7%T opening success
45.6%CT opening success
0.73Enemies flashed / flash
5.6%Flash assists
13.20HE damage / grenade
6.91Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.8839ms — above the 700ms mark we flag

    Aim Training →
  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 29.6851% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0417%25 Jul →
inferno13–1-0.0233%22 Jul →
anubis11–13-0.0225%21 Jul →
cache15–150.0227%21 Jul →
poseidon6–9-0.0816%21 Jul →
cache13–9-0.0216%21 Jul →
dust213–70.0019%21 Jul →
mirage13–70.0321%16 Jul →
anubis15–15-0.0129%14 Jul →
cache5–13-0.0534%14 Jul →
inferno16–14-0.0020%14 Jul →
nuke13–50.0128%14 Jul →
inferno13–80.0227%10 Jul →
dust213–6-0.0323%10 Jul →
mirage0–8-0.0333%10 Jul →
mirage1–11-0.0311%10 Jul →
cache13–3-0.0018%10 Jul →
dust213–110.0123%6 Jul →
mirage13–40.0621%6 Jul →
ancient13–6-0.0224%6 Jul →
nuke13–40.0126%28 Jun →
dust215–15-0.0118%28 Jun →
nuke3–90.0617%28 Jun →
nuke14–160.0139%28 Jun →
inferno7–13-0.0321%28 Jun →
dust211–13-0.0210%28 Jun →
dust22–13-0.0514%28 Jun →
ancient13–50.0124%28 Jun →
nuke5–13-0.0131%28 Jun →
nuke13–3-0.0026%27 Jun →
inferno5–13-0.0517%27 Jun →
dust27–13-0.0115%27 Jun →
mirage13–8-0.0818%27 Jun →
inferno13–1-0.0017%27 Jun →
inferno13–8-0.0317%27 Jun →
nuke6–13-0.0329%27 Jun →
dust213–20.0116%27 Jun →
nuke13–8-0.0318%27 Jun →
mirage0–13-0.0421%27 Jun →
ancient15–15-0.0718%27 Jun →
dust23–13-0.0221%27 Jun →
mirage7–13-0.0619%27 Jun →
mirage12–16-0.0622%25 Jun →
nuke13–11-0.0121%25 Jun →
nuke12–12-0.0122%19 Jun →
cache12–120.0636%19 Jun →
inferno13–7-0.0031%19 Jun →
mirage7–13-0.0516%19 Jun →
overpass9–130.0222%12 Jun →
anubis13–7-0.0220%12 Jun →
nuke7–13-0.0323%12 Jun →
mirage10–130.0033%12 Jun →
dust22–130.0642%12 Jun →
inferno13–110.0124%12 Jun →
cache13–80.0418%12 Jun →
ancient9–13-0.0233%12 Jun →
cache5–130.0322%3 Jun →
mirage13–10-0.0118%3 Jun →
dust213–80.0123%3 Jun →
nuke10–130.0129%3 Jun →
cache13–90.0225%3 Jun →
dust24–1-0.0529%3 Jun →
dust213–4-0.0015%30 May →
overpass13–6-0.0521%30 May →
cache13–60.0029%30 May →
mirage13–70.0428%30 May →
mirage8–13-0.0112%30 May →
inferno13–100.0320%30 May →
inferno9–13-0.0021%30 May →
overpass13–10.0929%22 May →
cache13–40.0018%22 May →
mirage13–60.0526%22 May →
inferno9–10.1433%22 May →
dust213–40.0429%22 May →
nuke13–100.0329%22 May →
cache13–50.1933%22 May →
mirage3–13-0.0040%22 May →
inferno10–130.0525%22 May →
inferno5–9-0.0421%21 May →
dust213–11-0.0814%21 May →
mirage13–110.0118%21 May →
cache9–130.0128%21 May →
nuke10–130.0127%21 May →
cache8–130.0424%20 May →
nuke13–50.1632%20 May →
mirage7–130.0419%20 May →
dust213–9-0.0235%20 May →
cache10–13-0.0415%8 May →
cache13–30.1022%8 May →
cache13–8-0.0126%8 May →
mirage13–70.0538%5 May →
mirage16–12-0.0218%5 May →
ancient11–13-0.0019%5 May →
inferno13–80.0218%5 May →
anubis11–13-0.0118%5 May →
mirage13–90.0219%5 May →
cache13–7-0.0016%5 May →
cache11–13-0.0237%2 May →
cache13–11-0.0023%2 May →
cache13–00.1955%2 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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