.mali♕

.mali♕ — CS2 Stats

76561198340804794[U:1:380539066]Steam profile ↗✓ No bans

2,424Tracked matches63%Win rate2020Tracked since
CSDB Rating6.2 SolidAggressive Rifler
Premier CS Rating11,514Blue band · top ~46.9% of ranked players (population est.)
CSDB Leaderboard#5783 of 8049 tracked
Ladder ranks via Leetify

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CSDB.GG.mali♕PREMIER11,514 · Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateLWWLWWLLLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression8.7
Utility6.4
Positioning5.8
Opening Duels3.7

Strong CT-side opener

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

jL

Plays most like jL 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim7.1
Positioning5.8
Utility6.4
Mechanics6.4
Opening Duels3.7
Win Impact9.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time644ms−55ms
first ⅓ avg 700ms → last ⅓ avg 644ms
Headshot accuracy21.8%+0.1%
first ⅓ avg 21.6% → last ⅓ avg 21.8%

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

0.14Best rating — dust2 13–0
130Biggest win — dust2
7Longest win streak
79In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB24121250%0.01
dust2A1811761%0.01
cacheB147750%0.01
nukeB136746%-0.01
infernoC114736%0.01
anubisS86275%-0.01
ancientC52340%-0.00
overpass41325%0.03
vertigo32167%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno 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.

22.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.2%Spray accuracy
78.7%Counter-strafing
9.8°Preaim
630msReaction time
36.7%T opening success
52.9%CT opening success
0.59Enemies flashed / flash
7.6%Flash assists
13.81HE damage / grenade
18.76Flashes / 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 36.7303% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0111%26 Aug
anubis13–80.0338%25 Aug
inferno13–60.0034%25 Aug
cache8–130.0018%25 Aug
mirage13–9-0.0222%22 Aug
cache13–100.0728%22 Aug
vertigo8–13-0.0323%19 Aug
dust24–130.034%19 Aug
nuke3–13-0.0829%18 Aug
mirage14–160.0524%18 Aug
inferno16–14-0.0516%18 Aug
mirage13–100.0720%17 Aug
dust213–70.0623%17 Aug
ancient8–13-0.0214%14 Aug
mirage13–50.0521%14 Aug
mirage13–90.0122%14 Aug
nuke13–11-0.0119%13 Aug
dust213–90.0823%13 Aug
mirage8–13-0.0632%12 Aug
dust213–20.0816%12 Aug
cache13–20.0520%11 Aug
nuke13–160.0142%11 Aug
inferno9–130.0415%7 Aug
cache13–10-0.0118%7 Aug
nuke4–13-0.0623%7 Aug
anubis13–5-0.0523%7 Aug
ancient13–20.0824%7 Aug
ancient16–130.0115%3 Aug
mirage13–4-0.0111%3 Aug
cache13–50.0427%3 Aug
dust213–9-0.0213%2 Aug
dust216–120.0333%2 Aug
cache9–130.0016%27 Jul
mirage5–13-0.0613%27 Jul
nuke10–130.0025%26 Jul
inferno13–40.0216%24 Jul
mirage1–13-0.0312%24 Jul
mirage10–130.0315%22 Jul
mirage13–60.0417%22 Jul
nuke10–13-0.0416%20 Jul
mirage7–13-0.0217%20 Jul
mirage13–50.0421%17 Jul
dust27–13-0.114%16 Jul
cache13–80.0229%16 Jul
inferno2–13-0.0032%16 Jul
mirage2–13-0.0326%16 Jul
dust210–60.0028%16 Jul
dust213–3-0.0325%15 Jul
vertigo13–8-0.0512%15 Jul
cache10–13-0.0416%15 Jul
nuke13–70.0017%15 Jul
inferno11–130.0418%14 Jul
dust213–00.1443%14 Jul
mirage11–130.0214%14 Jul
mirage13–10.0445%13 Jul
mirage5–13-0.0217%13 Jul
inferno11–130.0619%13 Jul
vertigo13–6-0.0116%13 Jul
nuke12–12-0.028%13 Jul
nuke9–130.0436%12 Jul
mirage13–110.0424%12 Jul
dust210–13-0.0633%11 Jul
dust210–13-0.0333%11 Jul
cache8–130.0119%6 Jul
cache13–10-0.0229%5 Jul
overpass13–60.0519%5 Jul
inferno11–13-0.0411%2 Jul
anubis13–60.0113%2 Jul
mirage13–60.0322%2 Jul
inferno8–13-0.024%29 Jun
anubis13–100.0218%29 Jun
inferno15–150.0322%28 Jun
overpass9–13-0.0128%28 Jun
nuke16–13-0.0619%28 Jun
mirage13–100.0316%28 Jun
mirage15–150.0219%27 Jun
inferno13–40.078%24 Jun
nuke13–11-0.0220%24 Jun
nuke13–11-0.0220%24 Jun
ancient15–15-0.0430%23 Jun
anubis5–1-0.0217%23 Jun
cache9–130.0130%13 May
overpass6–130.0315%13 May
mirage15–150.0425%13 May
dust211–130.0117%12 May
dust213–10.0124%12 May
anubis13–100.0122%12 May
ancient11–13-0.0419%11 May
mirage7–13-0.0028%11 May
dust211–13-0.0220%11 May
mirage13–70.0731%7 May
nuke13–70.1119%7 May
cache11–13-0.0625%5 May
dust213–110.0126%5 May
cache13–60.0756%4 May
anubis3–13-0.0516%4 May
dust26–13-0.0024%4 May
overpass10–130.0429%4 May
dust213–11-0.0114%3 May
cache12–12-0.0318%3 May

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 →