Mono Asqueroso

Mono Asqueroso — CS2 Stats

MX76561198412032181[U:1:451766453]Steam profile ↗✓ No bans

190Tracked matches34%Win rate2020Tracked since
CSDB Rating2.1 Learning
Ladder ranks via Leetify

Performance scores

Aim20
Positioning30
Utility19

0–100 skill scores via Leetify.

Recent form

COLD44479Last 10044%Win rateLLLWLLLLLW

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

Player DNA

Aim2.0
Aggression0.0
Utility1.9
Positioning3.0
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 53% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 770ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0
Positioning3.0
Utility1.9
Mechanics3.9
Opening Duels0.0
Win Impact0.0

Composite 2.1/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time774ms+37ms
first ⅓ avg 737ms → last ⅓ avg 774ms
Headshot accuracy15.4%+1.0%
first ⅓ avg 14.5% → last ⅓ avg 15.4%

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.

Highlights

0.12Best rating — inferno 13–7
134Biggest win — nuke
3Longest win streak
L3Current streak
45In matches decided by ≤2 rounds

Map breakdown

officeBest map · 60% over 5dust2Weakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
nukeB29141548%-0.03
dust2C26101638%-0.03
infernoA148657%-0.02
vertigoA74357%-0.04
anubisC52340%-0.01
officeA53260%-0.03
ancient42250%-0.02
alpine3030%-0.05
mirage21150%-0.03
warden2020%-0.05
italy1010%-0.06
stronghold1010%-0.07
overpass1010%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Dust 2 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.

14.7%Headshot accuracy
28.5%Accuracy (enemy spotted)
34.9%Spray accuracy
67.7%Counter-strafing
13.0°Preaim
770msReaction time
19.7%T opening success
17.6%CT opening success
0.27Enemies flashed / flash
9.0%Flash assists
6.38HE damage / grenade
1.62Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0436° — above the 12° mark we flag

    Aim Training
  2. 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 14.7444% — below the 15% mark we flag

    Aim Training
  3. 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 769.8154ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Dust 2

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

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0324%12 Jul
nuke2–13-0.0714%12 Jul
dust25–130.0224%12 Jul
vertigo3–60.0429%12 Jul
vertigo8–13-0.118%26 Jun
dust28–13-0.0116%26 Jun
alpine4–13-0.089%26 Jun
dust25–5-0.0341%26 Jun
dust22–6-0.0311%20 Jun
dust213–6-0.0216%18 Jun
vertigo13–6-0.0511%18 Jun
dust213–8-0.0119%18 Jun
dust20–13-0.0611%18 Jun
nuke7–13-0.0514%16 Jun
anubis7–130.0113%16 Jun
vertigo5–13-0.0514%16 Jun
nuke13–11-0.0611%12 Jun
italy2–13-0.0620%12 Jun
ancient9–13-0.0520%8 Jun
nuke1–13-0.0611%8 Jun
nuke1–13-0.066%23 May
inferno13–50.0024%23 May
dust213–7-0.076%23 May
dust213–7-0.089%23 May
dust212–120.0118%20 May
mirage13–100.0311%20 May
dust24–13-0.0710%20 May
nuke13–50.047%13 May
office6–13-0.0412%13 May
anubis9–13-0.0221%18 Apr
nuke6–13-0.1114%18 Apr
inferno13–5-0.0717%18 Apr
ancient13–60.0519%18 Apr
dust26–13-0.139%18 Apr
office13–9-0.080%15 Apr
mirage2–13-0.0810%11 Apr
vertigo13–10-0.0622%11 Apr
anubis13–10-0.0710%11 Apr
anubis13–50.045%7 Apr
inferno11–13-0.0815%31 Mar
nuke13–70.0420%31 Mar
inferno13–70.1215%31 Mar
nuke13–11-0.0310%27 Mar
nuke9–13-0.070%27 Mar
nuke4–13-0.1117%21 Mar
dust213–7-0.0511%21 Mar
vertigo13–7-0.047%21 Mar
dust213–11-0.0615%18 Mar
dust23–13-0.0915%15 Feb
warden0–5-0.0613%15 Feb
inferno13–70.0419%5 Feb
nuke6–13-0.0412%5 Feb
alpine5–13-0.056%5 Feb
dust25–13-0.0525%5 Feb
dust213–90.0116%29 Jan
vertigo7–13-0.0312%27 Jan
dust213–60.048%25 Jan
inferno6–13-0.0513%25 Jan
nuke13–10-0.027%25 Jan
inferno4–50.0220%24 Jan
nuke13–5-0.0411%24 Jan
nuke10–13-0.0220%24 Jan
nuke12–12-0.0219%24 Jan
stronghold8–13-0.078%24 Jan
alpine12–12-0.0321%24 Jan
warden12–12-0.0419%24 Jan
dust212–12-0.0319%16 Jan
inferno5–13-0.076%16 Jan
dust212–12-0.049%15 Jan
office13–9-0.0319%15 Jan
nuke3–13-0.0820%15 Jan
nuke13–10-0.0717%14 Jan
dust212–12-0.0214%3 Jan
nuke13–7-0.0815%3 Jan
nuke13–80.035%30 Dec
nuke13–40.0218%23 Dec
office12–12-0.009%23 Dec
office13–6-0.0021%22 Dec
nuke13–9-0.0015%22 Dec
anubis8–13-0.0121%12 Dec
nuke7–7-0.0817%12 Dec
nuke6–130.0332%11 Dec
nuke13–6-0.023%11 Dec
ancient2–13-0.100%9 Dec
inferno13–60.0319%8 Dec
dust213–60.0518%8 Dec
inferno6–13-0.0413%8 Dec
dust211–130.0410%6 Dec
overpass4–13-0.1010%6 Dec
inferno12–12-0.068%6 Dec
dust213–4-0.0329%6 Dec
nuke11–13-0.0516%25 Nov
ancient13–40.0115%22 Nov
nuke0–7-0.057%19 Nov
nuke13–40.0312%16 Nov
inferno13–10-0.078%15 Nov
dust28–13-0.0415%14 Nov
inferno13–4-0.0520%14 Nov
nuke1–13-0.0019%9 Nov
inferno13–10-0.0316%9 Nov

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 →