Mahdush

Mahdush — CS2 Stats

DK76561199567698128[U:1:1607432400]Steam profile ↗✓ No bans

235Tracked matches52%Win rate2026Tracked since
534Hours in CS63Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating3,194Grey band · top ~86.5% of ranked players (population est.)
CSDB Leaderboard#34334 of 44112 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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 playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate73.6%41.1%41.2%above
Shot accuracy0.0%14.1%12.5%12.5% short
Kill/death ratio1.390.970.96above
Match win rate37.7%41.9%42.8%5.1% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMahdushFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER3,194 · Grey bandcsdb.gg/stats

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Performance scores

Aim40
Positioning36
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLWLWLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Aim4.0
Aggression3.0
Utility5.5
Positioning3.6
Opening Duels0.0
Clutch5.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 733ms 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

Aim4.0
Positioning3.6
Utility5.5
Mechanics6.2
Opening Duels0.0
Win Impact5.6

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time707ms−86ms
first ⅓ avg 793ms → last ⅓ avg 707ms
Headshot accuracy13.3%−4.1%
first ⅓ avg 17.3% → last ⅓ avg 13.3%

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.

Highlights

0.16Best rating — inferno 9–1
130Biggest win — ancient
4Longest win streak
66In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 65% over 26anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2617965%-0.03
dust2D1751229%-0.03
ancientA159660%-0.02
cacheC146843%-0.02
infernoD103730%-0.04
anubisD82625%-0.02
nukeD72529%-0.03
vertigo31233%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,481Lifetime kills
1.39K/D · Top 5% of Level 1 players
782Matches
37.7%Match win rate
73.6%Headshot % · Top 1% of Level 1 players
0.0%Shot accuracy
1,159MVPs
314Hours (in match)
376Bombs planted
178Bombs defused

Most-used weapons

Lifetime map wins

2,218dust2
816inferno
486nuke
66vertigo
52train
21office

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

Faceit stats

Combat

87Matches
38%Win rate
0.81Avg K/D
73.2ADR
46%Headshot %

Clutches & streaks

48%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2442%0.9313.3
Anubis1421%0.7211.1
Dust21346%0.9116.1
Ancient1242%0.8812.8
Nuke922%0.679.3
Cache838%0.7011.4
Inferno650%0.508.7
Vertigo1100%0.8310.0

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.

13.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
32.7%Spray accuracy
78.1%Counter-strafing
11.6°Preaim
733msReaction time
27.5%T opening success
29.0%CT opening success
0.68Enemies flashed / flash
7.5%Flash assists
7.61HE damage / grenade
9.61Flashes / 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 13.6938% — below the 15% mark we flag

    Aim Training
  2. 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 733.208ms — above the 700ms mark we flag

    Aim Training
  3. 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 27.4807% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache1–6-0.090%29 Aug
inferno13–10-0.0912%27 Aug
ancient1–13-0.075%27 Aug
nuke16–12-0.0511%27 Aug
cache6–13-0.0214%27 Aug
mirage1–13-0.1218%25 Aug
dust24–13-0.0525%25 Aug
mirage16–14-0.069%25 Aug
mirage13–4-0.1214%25 Aug
anubis13–10-0.0012%25 Aug
anubis8–130.1011%25 Aug
mirage13–10.0613%25 Aug
mirage13–10.0222%24 Aug
dust212–12-0.1333%22 Aug
inferno8–13-0.1321%22 Aug
anubis9–13-0.096%22 Aug
mirage13–11-0.069%22 Aug
dust216–130.1218%21 Aug
dust26–130.0126%21 Aug
mirage13–5-0.0310%21 Aug
mirage13–7-0.026%20 Aug
mirage6–130.0114%20 Aug
mirage5–130.0117%20 Aug
inferno9–13-0.025%19 Aug
ancient13–9-0.109%19 Aug
nuke9–70.099%19 Aug
ancient16–13-0.049%19 Aug
mirage13–70.0212%18 Aug
cache6–13-0.055%18 Aug
mirage11–130.0525%17 Aug
mirage13–4-0.0412%16 Aug
cache12–12-0.0611%16 Aug
ancient13–50.0416%16 Aug
ancient13–10.0217%16 Aug
ancient13–5-0.0426%15 Aug
cache13–7-0.0313%15 Aug
mirage8–13-0.0510%15 Aug
cache13–50.1230%14 Aug
dust29–13-0.0318%14 Aug
nuke5–9-0.0819%13 Aug
mirage11–13-0.117%13 Aug
inferno8–13-0.0718%12 Aug
mirage13–110.0424%12 Aug
inferno9–10.1647%11 Aug
dust210–130.0624%11 Aug
ancient13–30.0917%11 Aug
vertigo9–50.1524%11 Aug
inferno8–13-0.0413%11 Aug
ancient12–12-0.077%10 Aug
mirage13–10-0.048%10 Aug
dust213–8-0.0724%10 Aug
cache8–130.016%10 Aug
dust213–8-0.0736%9 Aug
inferno11–13-0.0216%9 Aug
inferno7–130.0118%9 Aug
anubis13–60.1314%8 Aug
dust26–13-0.078%8 Aug
nuke9–13-0.0614%7 Aug
mirage13–4-0.0324%7 Aug
ancient3–13-0.0837%7 Aug
mirage13–90.0213%7 Aug
cache7–13-0.0213%6 Aug
mirage13–50.0017%6 Aug
dust213–100.1128%6 Aug
dust20–13-0.1214%5 Aug
ancient13–40.0422%5 Aug
cache13–50.0522%5 Aug
cache11–13-0.0916%4 Aug
dust24–130.0321%4 Aug
mirage13–3-0.040%4 Aug
vertigo10–13-0.0113%3 Aug
nuke3–13-0.0416%2 Aug
anubis8–13-0.0820%2 Aug
ancient6–13-0.0113%2 Aug
nuke6–13-0.0332%2 Aug
mirage13–11-0.0827%1 Aug
cache13–9-0.0419%1 Aug
dust213–7-0.0124%1 Aug
vertigo9–13-0.0510%31 Jul
ancient13–00.065%30 Jul
cache13–9-0.0118%30 Jul
anubis3–13-0.0418%30 Jul
mirage11–13-0.0613%29 Jul
mirage13–7-0.0128%29 Jul
dust215–15-0.0520%29 Jul
ancient13–11-0.069%28 Jul
dust214–16-0.0235%28 Jul
nuke6–13-0.0233%28 Jul
dust27–13-0.0726%27 Jul
mirage10–13-0.0718%25 Jul
inferno13–3-0.0917%25 Jul
cache13–7-0.0012%25 Jul
inferno9–13-0.1316%24 Jul
mirage7–13-0.1017%23 Jul
ancient7–13-0.039%23 Jul
anubis7–13-0.086%23 Jul
dust26–13-0.086%23 Jul
anubis5–13-0.1421%22 Jul
ancient3–13-0.1213%22 Jul
cache8–13-0.0620%21 Jul

Match data via Leetify.

Recent teammates

Milestones

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