audiomachine — CS2 Stats

76561198198843025[U:1:238577297]

440Tracked matches52%Win rate2023Tracked since
CSDB Rating4.2 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGaudiomachineFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim42
Positioning37
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY503911Last 10050%Win rateLTWLLWWWLW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Aim4.2
Aggression2.1
Utility2.6
Positioning3.7
Opening Duels0.0

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 65% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 722ms 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

Aim4.2
Positioning3.7
Utility2.6
Mechanics7.7
Opening Duels0.6
Win Impact5.6

Composite 4.2/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time731ms−13ms
first ⅓ avg 744ms → last ⅓ avg 731ms
Headshot accuracy16.7%+4.3%
first ⅓ avg 12.4% → last ⅓ avg 16.7%

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

0.13Best rating — inferno 9–1
130Biggest win — nuke
4Longest win streak
85In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 64% over 14ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C23101343%-0.04
infernoA149564%-0.02
mirageA148657%-0.01
nukeB137654%-0.01
ancientC104640%-0.01
overpassC73443%-0.02
trainA53260%-0.00
vertigo42250%0.01
grail3030%-0.02
anubis330100%0.01
agency2020%-0.04
cache1010%-0.06
office110100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). 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.

16.4%Headshot accuracy
29.0%Accuracy (enemy spotted)
27.5%Spray accuracy
84.9%Counter-strafing
10.0°Preaim
722msReaction time
20.4%T opening success
34.6%CT opening success
0.72Enemies flashed / flash
9.0%Flash assists
8.79HE damage / grenade
8.13Flashes / 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 722.3151ms — 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 20.3937% — 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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0618%2 May
dust212–12-0.1111%9 Dec
dust213–11-0.0420%9 Dec
dust211–13-0.0225%9 Dec
train3–13-0.1212%11 Sept
inferno13–9-0.1016%4 Sept
mirage13–110.0313%4 Sept
overpass13–7-0.059%4 Sept
dust25–13-0.126%4 Sept
dust213–5-0.0210%30 Aug
overpass6–130.0216%30 Aug
inferno13–9-0.0115%29 Aug
dust27–13-0.1011%28 Aug
inferno10–13-0.109%28 Aug
grail11–13-0.0117%27 Aug
agency12–12-0.0115%26 Aug
dust213–7-0.0416%26 Aug
inferno9–10.1321%26 Aug
dust213–9-0.0324%26 Aug
overpass9–13-0.0412%25 Aug
train13–5-0.0013%24 Aug
grail11–13-0.0316%24 Aug
inferno13–3-0.0019%24 Aug
mirage13–110.0628%22 Aug
mirage12–120.0815%22 Aug
dust29–13-0.0515%22 Aug
ancient11–00.0623%22 Aug
vertigo7–13-0.0323%22 Aug
anubis13–110.0320%22 Aug
dust24–130.0018%22 Aug
anubis13–60.0128%22 Aug
dust25–130.0424%21 Aug
mirage13–8-0.0315%21 Aug
inferno13–11-0.0316%20 Aug
nuke12–12-0.0233%20 Aug
mirage6–130.0419%19 Aug
dust212–12-0.0510%19 Aug
inferno6–13-0.0519%19 Aug
ancient5–13-0.0615%19 Aug
inferno13–8-0.0115%19 Aug
nuke13–0-0.0218%19 Aug
overpass13–100.0410%17 Aug
ancient13–7-0.0019%8 Aug
dust29–13-0.0117%8 Aug
dust213–20.0821%8 Aug
nuke13–11-0.0826%8 Aug
ancient12–12-0.077%7 Aug
nuke9–13-0.0112%7 Aug
dust213–6-0.087%7 Aug
mirage13–5-0.0115%5 Aug
inferno11–13-0.0516%5 Aug
dust213–5-0.0217%5 Aug
mirage13–9-0.0811%4 Aug
vertigo13–50.0114%4 Aug
ancient3–130.0312%4 Aug
nuke13–10.054%3 Aug
nuke13–10.0925%3 Aug
overpass13–30.0014%3 Aug
inferno10–130.029%3 Aug
vertigo9–60.0519%2 Aug
mirage13–9-0.0010%2 Aug
nuke12–12-0.059%2 Aug
mirage13–8-0.039%2 Aug
nuke10–13-0.0510%1 Aug
dust28–130.0111%1 Aug
inferno13–9-0.0114%1 Aug
mirage8–13-0.054%31 Jul
nuke13–4-0.0210%31 Jul
nuke4–13-0.069%30 Jul
mirage13–11-0.023%30 Jul
dust213–4-0.0710%30 Jul
ancient12–12-0.039%29 Jul
office13–11-0.0410%29 Jul
agency3–13-0.075%28 Jul
nuke13–10.1220%28 Jul
dust213–7-0.0011%27 Jul
ancient7–13-0.0313%27 Jul
grail9–13-0.0216%27 Jul
train13–60.0814%26 Jul
dust210–13-0.0312%26 Jul
vertigo5–130.019%26 Jul
nuke7–13-0.0321%26 Jul
mirage1–13-0.1114%25 Jul
dust213–6-0.0417%24 Jul
overpass7–13-0.0513%24 Jul
inferno1–13-0.074%24 Jul
nuke13–7-0.0113%24 Jul
overpass12–12-0.069%23 Jul
ancient13–40.0221%23 Jul
dust25–13-0.0427%22 Jul
ancient13–7-0.0317%22 Jul
train12–120.023%22 Jul
anubis13–8-0.009%22 Jul
mirage8–13-0.0511%22 Jul
dust211–13-0.067%21 Jul
inferno7–10.1014%21 Jul
train13–60.027%21 Jul
ancient7–13-0.0316%20 Jul
inferno13–5-0.0419%20 Jul
mirage12–12-0.0118%20 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 →