A Moist Mop — CS2 Stats

76561198066134365[U:1:105868637]

98Tracked matches67%Win rate2022Tracked since
980Hours in CS1Hrs last 2 wks
CSDB Rating5.2 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGA Moist MopFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning48
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51384Last 9355%Win rateWWLWWWWLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim5.0
Aggression2.0
Utility6.4
Positioning4.8
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 79% playstyle similarity

Most alike: utility contribution, 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

Strengths

Flashes. 1.13 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 638ms 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

Aim5.0
Positioning4.8
Utility6.4
Mechanics5.1
Opening Duels0.0
Win Impact10.0

Composite 5.2/10 (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-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time639ms+16ms
first ⅓ avg 623ms → last ⅓ avg 639ms
Headshot accuracy13.4%+1.8%
first ⅓ avg 11.7% → last ⅓ avg 13.4%

Rolling 5-match average across the last 93 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — nuke 13–4
130Biggest win — inferno
7Longest win streak
W2Current streak
86In matches decided by ≤2 rounds
50Overtime games

Map breakdown

overpassBest map · 67% over 12nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA24141058%-0.01
infernoA2213959%-0.01
dust2C1771041%-0.02
overpassS128467%-0.01
ancientB63350%-0.00
nukeC52340%0.02
vertigo32167%0.00
cache21150%-0.09
anubis21150%-0.06

Across the last 93 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,659Lifetime kills
1.17K/D · Top 50% of tracked players
3,144Matches
30.9%Match win rate
34.0%Headshot %
25.4%Shot accuracy · Top 1% of tracked players
2,857MVPs
1,079Hours (in match)
1,497Bombs planted
287Bombs defused

Most-used weapons

AK-4717,816
AWP1,725
FAMAS1,591
UMP-451,432
MP91,209

Lifetime map wins

5,157dust2
1,133inferno
573nuke
433train
194vertigo
123dust
102cbble
93lake

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.

13.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
40.8%Spray accuracy
73.1%Counter-strafing
11.8°Preaim
638msReaction time
17.2%T opening success
27.8%CT opening success
1.13Enemies flashed / flash
4.1%Flash assists
11.21HE damage / grenade
6.95Flashes / 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 13.1212% — below the 15% 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 17.2378% — below the 40% mark we flag

Spend your practice time on Nuke

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 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0210%25 Aug
dust213–40.0215%24 Aug
cache3–13-0.1022%8 Aug
mirage13–4-0.0525%8 Aug
ancient13–70.004%8 Aug
inferno13–11-0.0712%8 Aug
mirage13–60.0114%7 Aug
dust28–13-0.066%6 Aug
mirage11–13-0.0214%4 Aug
cache13–6-0.0816%12 Jul
mirage16–13-0.0214%15 Jun
inferno13–10.0421%13 Jun
dust213–80.0018%13 Jun
mirage13–11-0.0515%13 Jun
dust211–13-0.0517%10 Jun
inferno13–00.1012%10 Jun
mirage13–5-0.0123%9 Jun
mirage13–20.0219%9 Jun
dust210–13-0.0612%8 Jun
mirage13–9-0.0116%5 Jun
nuke13–40.1312%5 Jun
overpass13–30.059%4 Jun
mirage13–110.054%4 Jun
mirage3–13-0.024%4 Jun
dust211–130.0115%3 Jun
overpass9–130.0615%24 May
inferno13–10-0.035%24 May
dust24–130.0011%24 May
dust210–13-0.0511%22 May
mirage13–80.0013%22 May
dust25–13-0.0016%21 May
inferno9–13-0.0116%21 May
mirage13–11-0.023%20 May
dust213–80.0415%19 May
mirage10–130.0310%19 May
dust24–13-0.049%19 May
inferno13–60.0214%7 Dec
overpass13–11-0.0511%31 Dec
ancient9–13-0.044%31 Dec
overpass8–13-0.0328%31 Dec
ancient13–10-0.016%26 Nov
anubis15–15-0.0813%26 Nov
vertigo9–13-0.0515%26 Nov
mirage15–15-0.0120%29 May
overpass8–16-0.0610%5 Mar
mirage14–16-0.0212%4 Mar
mirage16–8-0.0212%11 Feb
inferno8–16-0.0424%11 Feb
inferno10–16-0.0320%24 Dec
ancient16–140.0515%24 Dec
inferno16–12-0.027%24 Dec
mirage7–16-0.0316%18 Dec
inferno10–16-0.0214%18 Dec
inferno13–16-0.069%11 Dec
overpass14–16-0.077%11 Dec
anubis16–12-0.044%11 Dec
nuke11–16-0.0210%11 Dec
inferno12–16-0.0112%11 Dec
vertigo16–100.0319%12 Nov
nuke16–50.099%12 Nov
inferno16–80.039%12 Nov
dust214–16-0.049%12 Nov
mirage13–16-0.0112%12 Nov
overpass16–60.009%28 May
mirage13–16-0.0218%20 May
inferno16–8-0.038%20 May
inferno9–10.0211%20 May
ancient11–160.0412%20 May
inferno16–30.0220%19 May
overpass16–90.0119%19 May
inferno9–16-0.063%19 May
dust216–30.0518%19 May
inferno16–13-0.017%7 May
mirage8–16-0.0417%7 May
overpass16–6-0.0517%7 May
inferno15–15-0.1113%7 May
ancient6–16-0.0714%7 May
nuke11–16-0.0511%7 May
overpass16–11-0.014%1 May
mirage16–7-0.0314%1 May
inferno16–9-0.017%1 May
vertigo16–70.033%1 May
overpass16–50.015%1 May
dust216–6-0.0423%1 May
mirage16–120.0512%1 May
inferno11–16-0.048%30 Apr
dust28–16-0.0420%30 Apr
mirage8–20.0212%30 Apr
nuke15–15-0.054%30 Apr
overpass16–14-0.006%30 Apr
inferno16–120.0215%30 Apr
dust216–130.0110%29 Apr
mirage10–16-0.049%29 Apr

Match data via Leetify.

Recent teammates

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