Menopause Gaming

Menopause Gaming — CS2 Stats

US76561198351449032[U:1:391183304]Steam profile ↗✓ No bans

558Tracked matches50%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMenopause GamingFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning41
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY40546Last 10040%Win rateTTWLLWWLWL

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

Player DNA

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

Aim7.5
Aggression4.1
Utility4.1
Positioning4.1
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 83% playstyle similarity

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

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Reaction time. 742ms 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

Aim7.5
Positioning4.1
Utility4.1
Mechanics6.9
Opening Duels0.1
Win Impact5.0

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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time754ms+6ms
first ⅓ avg 748ms → last ⅓ avg 754ms
Headshot accuracy22.3%+9.1%
first ⅓ avg 13.3% → last ⅓ avg 22.3%

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 13–1
131Biggest win — dust2
4Longest win streak
97In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 56% over 16overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC23101343%-0.02
dust2C2081240%-0.01
infernoC2081240%-0.02
mirageA169756%-0.03
overpassD61517%0.00
anubis41325%-0.02
train42250%-0.01
ancient41325%-0.01
dogtown1010%-0.12
grail1010%0.04
vertigo1010%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass 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.

22.2%Headshot accuracy
42.5%Accuracy (enemy spotted)
50.1%Spray accuracy
81.0%Counter-strafing
12.1°Preaim
742msReaction time
25.6%T opening success
31.1%CT opening success
0.39Enemies flashed / flash
11.7%Flash assists
10.75HE damage / grenade
8.60Flashes / 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 12.1223° — above the 12° mark we flag

    Aim Training
  2. 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 741.8112ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.3904 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Overpass

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–150.0428%31 May
overpass15–150.0216%30 Apr
mirage13–11-0.0719%29 Apr
overpass14–16-0.0129%28 Apr
overpass9–130.0320%28 Apr
nuke13–10-0.0224%28 Apr
dust213–110.0025%27 Apr
dust22–13-0.0721%26 Apr
nuke13–90.0115%26 Apr
dust210–130.0726%22 Apr
nuke5–13-0.0521%14 Apr
mirage15–14-0.0217%11 Apr
anubis3–13-0.1013%9 Apr
inferno16–12-0.0130%9 Apr
anubis13–70.1042%7 Apr
inferno10–130.0026%7 Apr
nuke6–130.0219%7 Apr
nuke13–90.0119%6 Apr
overpass8–13-0.0623%4 Apr
inferno13–3-0.0069%4 Apr
nuke11–13-0.0330%3 Apr
dust213–30.0317%2 Apr
nuke16–13-0.0114%30 Mar
nuke13–7-0.0616%26 Mar
nuke16–140.0217%23 Mar
mirage2–13-0.124%23 Mar
nuke7–13-0.0612%24 Jan
train7–13-0.0622%22 Jan
mirage13–6-0.1114%9 Jan
inferno1–13-0.0519%5 Jan
nuke13–11-0.0335%5 Jan
mirage9–130.0116%1 Jan
overpass10–13-0.0019%31 Dec
overpass13–80.0219%30 Dec
dust28–13-0.0518%20 Dec
inferno4–13-0.0720%20 Dec
dust213–100.0621%19 Dec
ancient7–130.0219%19 Dec
nuke1–13-0.0513%16 Dec
inferno6–13-0.0115%16 Dec
nuke10–130.047%14 Dec
inferno6–13-0.0112%14 Dec
dust213–7-0.056%13 Dec
nuke15–15-0.0425%12 Dec
dust210–13-0.0325%12 Dec
train13–60.0715%12 Dec
mirage13–7-0.0410%11 Dec
dust29–13-0.049%11 Dec
nuke13–30.0115%11 Dec
dust213–10.0510%11 Dec
inferno11–13-0.0617%11 Dec
inferno7–13-0.028%10 Dec
train7–13-0.0010%5 Dec
nuke11–13-0.0215%3 Dec
nuke13–11-0.048%3 Dec
nuke9–13-0.0123%2 Dec
dust27–13-0.0226%25 Nov
inferno8–13-0.0420%26 Aug
mirage9–13-0.0612%10 May
dogtown5–9-0.1213%10 May
grail12–120.0414%9 May
dust213–6-0.0623%9 May
mirage5–13-0.049%8 May
inferno13–10-0.0410%7 May
nuke4–9-0.088%7 May
mirage15–15-0.0215%24 Mar
mirage9–13-0.0414%16 Mar
ancient13–80.075%15 Mar
inferno3–13-0.1012%8 Mar
nuke10–13-0.0110%8 Mar
inferno13–80.0426%8 Mar
inferno13–90.0024%8 Mar
inferno4–13-0.0114%7 Mar
mirage7–13-0.057%7 Mar
nuke8–130.0022%7 Mar
ancient0–2-0.030%7 Mar
anubis12–12-0.0510%7 Mar
dust29–13-0.066%7 Mar
mirage16–13-0.048%5 Mar
inferno13–10-0.0619%5 Mar
nuke7–13-0.077%5 Mar
mirage2–00.0950%5 Mar
dust213–10-0.0229%5 Mar
train13–5-0.034%5 Mar
dust213–10.1413%4 Mar
dust26–13-0.049%4 Mar
nuke13–100.0019%4 Jan
anubis11–13-0.029%4 Jan
ancient4–13-0.103%4 Jan
inferno3–13-0.066%4 Jan
dust24–13-0.0812%4 Jan
vertigo9–13-0.0314%4 Jan
dust24–13-0.0812%3 Jan
mirage7–5-0.0419%3 Jan
mirage13–8-0.0315%3 Jan
inferno16–13-0.008%3 Jan
inferno13–90.008%3 Jan
inferno7–130.019%3 Jan
mirage16–140.0915%2 Jan
dust211–13-0.0115%2 Jan

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 →