Mad Malt

Mad Malt — CS2 Stats

CU76561198010532149[U:1:50266421]Steam profile ↗✓ No bans

774Tracked matches43%Win rate2021Tracked since
2,770Hours in CS9Hrs last 2 wks
CSDB Rating4.8 DevelopingHybrid Rifler
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim63
Positioning55
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY364915Last 10036%Win rateLWLLTWWWLW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression7.7
Utility1.3
Positioning5.5
Opening Duels3.0

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.

Your pro match

b1t

Plays most like b1t 81% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 631ms 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

Aim6.3
Positioning5.5
Utility1.3
Mechanics7.0
Opening Duels3.0
Win Impact2.6

Composite 4.8/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time638ms−69ms
first ⅓ avg 708ms → last ⅓ avg 638ms
Headshot accuracy19.1%+4.8%
first ⅓ avg 14.3% → last ⅓ avg 19.1%

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 — dust2 13–4
131Biggest win — cache
5Longest win streak
23In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 56% over 9vertigoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
cacheB27131448%-0.02
trainC135838%-0.04
vertigoD1321115%-0.05
anubisA95456%-0.03
officeD72529%-0.05
dust2D51420%-0.02
poseidon43175%-0.03
nuke41325%-0.04
inferno41325%-0.04
boulder31233%-0.02
warden31233%-0.03
alpine3030%-0.05
sanctum2020%-0.07
overpass21150%-0.04
stronghold1010%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,213Lifetime kills
0.88K/D
5,343Matches
34.5%Match win rate
43.6%Headshot %
15.8%Shot accuracy · Top 25% of tracked players
7,553MVPs
1,441Hours (in match)
3,045Bombs planted
464Bombs defused

Most-used weapons

AK-4721,427
AWP9,680
MP92,175
SG 5532,069
P902,065

Lifetime map wins

2,754inferno
2,434nuke
2,207vertigo
2,062dust2
1,443office
1,314train
940cbble
459lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.4%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.4%Spray accuracy
81.6%Counter-strafing
10.3°Preaim
631msReaction time
45.6%T opening success
38.6%CT opening success
0.16Enemies flashed / flash
1.9%Flash assists
5.33HE damage / grenade
2.29Flashes / 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. 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 0.1579 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

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

    CT opening duels 38.6015% — below the 40% mark we flag

Spend your practice time on Vertigo

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0424%23 Aug
anubis13–30.0218%23 Aug
dust28–13-0.0413%23 Aug
anubis7–13-0.035%28 Jul
cache12–12-0.0615%16 Jul
cache13–10.0637%16 Jul
cache13–30.0226%16 Jul
cache13–10-0.0117%16 Jul
train2–13-0.0916%10 Jul
cache13–11-0.0120%10 Jul
cache6–13-0.0913%10 Jul
cache13–50.0418%9 Jul
cache13–10.0118%9 Jul
anubis7–13-0.0717%9 Jul
train13–80.0319%9 Jul
dust24–13-0.0817%9 Jul
cache8–13-0.0326%9 Jul
boulder6–13-0.0324%9 Jul
boulder13–70.0110%9 Jul
boulder1–9-0.0311%9 Jul
cache13–110.0427%7 Jul
cache13–8-0.0326%7 Jul
cache8–13-0.0313%23 Jun
anubis13–9-0.0328%23 Jun
dust210–13-0.1022%23 Jun
cache5–13-0.0523%23 Jun
cache9–130.0424%19 Jun
train10–13-0.0526%19 Jun
train12–12-0.098%19 Jun
poseidon9–60.0933%6 Jun
sanctum4–9-0.0710%6 Jun
cache6–13-0.0321%6 Jun
vertigo3–13-0.058%6 Jun
vertigo13–9-0.0415%6 Jun
vertigo3–13-0.0135%6 Jun
cache12–12-0.0211%31 May
anubis7–13-0.0516%31 May
anubis13–10-0.029%31 May
cache13–10-0.0619%21 May
cache3–13-0.0811%21 May
poseidon9–4-0.0914%18 May
office13–10-0.054%18 May
office7–13-0.0429%18 May
office3–13-0.0637%18 May
cache13–60.0233%9 May
cache13–7-0.019%9 May
cache8–13-0.0522%2 May
cache12–12-0.0717%2 May
cache10–13-0.0512%29 Apr
cache13–3-0.0023%29 Apr
cache6–13-0.0117%29 Apr
cache13–6-0.0531%29 Apr
vertigo8–8-0.0221%22 Apr
sanctum8–8-0.0716%22 Apr
poseidon4–9-0.1313%22 Apr
train7–13-0.0715%22 Apr
train13–8-0.0332%22 Apr
train9–13-0.0814%16 Apr
dust26–13-0.0722%16 Apr
vertigo8–13-0.0917%8 Apr
vertigo12–12-0.0322%8 Apr
vertigo5–13-0.0737%8 Apr
anubis13–8-0.0326%2 Apr
nuke5–13-0.0514%25 Mar
warden12–12-0.0514%19 Mar
office13–9-0.1026%18 Mar
office10–13-0.0221%18 Mar
office4–13-0.0113%18 Mar
dust213–40.1618%5 Mar
anubis13–10-0.0311%5 Mar
nuke13–10-0.078%5 Mar
train13–4-0.0010%3 Mar
overpass13–10-0.0215%3 Mar
train9–13-0.0915%26 Feb
inferno12–12-0.0713%18 Feb
nuke12–12-0.0715%18 Feb
alpine12–12-0.0314%18 Feb
vertigo3–13-0.0125%17 Feb
vertigo11–13-0.0515%17 Feb
vertigo6–13-0.0818%17 Feb
train13–10-0.055%24 Jan
alpine12–12-0.054%24 Jan
anubis6–13-0.0224%24 Jan
stronghold6–13-0.049%24 Jan
warden13–90.023%24 Jan
poseidon9–30.0327%22 Jan
office9–13-0.0619%22 Jan
warden12–12-0.057%22 Jan
alpine12–12-0.077%22 Jan
overpass10–13-0.0526%14 Jan
inferno5–13-0.0712%7 Jan
nuke10–130.0218%7 Jan
train1–30.028%31 Dec
train7–13-0.0517%31 Dec
inferno13–80.0620%30 Dec
inferno9–13-0.0917%28 Dec
vertigo13–6-0.0913%28 Dec
train13–7-0.0311%18 Dec
vertigo6–11-0.0220%18 Dec
vertigo12–12-0.1217%18 Dec

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 →