moms

moms — CS2 Stats

AU76561198043800281[U:1:83534553]Steam profile ↗

430Tracked matches57%Win rate2023Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating7,579Light Blue band · top ~66.5% of ranked players (population est.)
CSDB Leaderboard#27791 of 37054 tracked
Ladder ranks via Leetify

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CSDB.GGmomsPREMIER7,579 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

HOT51445Last 10051%Win rateWLWWWLWWWT

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

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

Aim6.4
Aggression6.7
Utility5.4
Positioning5.3
Opening Duels1.4

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 555ms 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

Aim6.4
Positioning5.3
Utility5.4
Mechanics6.8
Opening Duels1.4
Win Impact7.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time556ms−23ms
first ⅓ avg 579ms → last ⅓ avg 556ms
Headshot accuracy15.8%+2.3%
first ⅓ avg 13.5% → last ⅓ avg 15.8%

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

0.17Best rating — inferno 13–7
133Biggest win — mirage
4Longest win streak
106In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB24121250%0.00
ancientA1710759%-0.00
dust2C156940%-0.01
cacheA95456%0.03
mirageD82625%-0.00
overpassA85363%0.02
anubisD72529%-0.01
infernoS75271%0.02
trainS54180%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage 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.

15.3%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.6%Spray accuracy
80.8%Counter-strafing
10.5°Preaim
555msReaction time
30.5%T opening success
40.8%CT opening success
0.53Enemies flashed / flash
7.4%Flash assists
10.29HE damage / grenade
6.90Flashes / 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 30.546% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–110.0518%27 Aug
dust26–130.0114%19 Aug
nuke2–00.050%19 Aug
ancient16–140.0111%17 Aug
nuke13–6-0.0413%17 Aug
cache7–130.0225%14 Aug
ancient13–90.036%14 Aug
cache13–50.0911%14 Aug
nuke13–100.0213%24 Jul
cache15–15-0.0214%24 Jul
dust210–13-0.069%17 Jul
nuke7–13-0.087%17 Jul
ancient13–50.0528%15 Jul
cache11–130.0220%15 Jul
ancient15–150.0413%15 Jul
anubis11–13-0.069%15 Jul
dust213–70.0215%15 Jul
anubis5–13-0.0515%15 Jul
nuke9–13-0.0513%15 Jul
nuke13–9-0.0213%14 Jul
ancient2–00.0233%14 Jul
anubis4–00.000%14 Jul
inferno4–13-0.0511%14 Jul
nuke5–130.0319%13 Jul
cache13–100.0931%13 Jul
ancient6–13-0.0313%13 Jul
cache13–60.0324%9 Jul
dust23–13-0.0711%9 Jul
mirage13–30.1122%9 Jul
nuke13–110.0121%9 Jul
dust23–13-0.0127%9 Jul
mirage7–130.0131%9 Jul
cache13–9-0.0113%9 Jul
nuke10–13-0.0332%9 Jul
cache3–13-0.0125%9 Jul
cache13–60.0517%9 Jul
nuke15–150.0716%11 May
dust215–15-0.0113%21 Mar
mirage10–13-0.007%21 Mar
inferno13–50.0615%17 Mar
ancient3–13-0.1013%14 Mar
inferno13–110.0116%14 Mar
overpass4–13-0.0017%13 Mar
dust212–160.0515%13 Mar
inferno11–13-0.0912%13 Mar
overpass13–110.0324%13 Mar
ancient6–13-0.0512%7 Mar
overpass13–6-0.0213%7 Mar
mirage7–13-0.059%7 Mar
dust213–80.0414%6 Mar
inferno13–70.1719%6 Mar
overpass13–5-0.019%25 Feb
ancient13–8-0.016%25 Feb
dust22–13-0.0712%6 Feb
dust213–70.0427%6 Feb
nuke4–130.0816%6 Feb
nuke13–6-0.0615%5 Feb
anubis7–13-0.0416%5 Feb
nuke6–13-0.0219%5 Feb
nuke7–130.0514%5 Feb
mirage11–13-0.0211%5 Feb
anubis8–130.0525%5 Feb
anubis13–8-0.0116%5 Feb
mirage4–13-0.028%2 Feb
nuke10–13-0.0114%27 Jan
nuke13–6-0.0211%27 Jan
ancient12–16-0.0314%24 Jan
inferno13–9-0.057%24 Jan
mirage4–13-0.0724%24 Jan
mirage13–50.0210%23 Jan
anubis4–130.038%23 Jan
overpass13–40.1118%23 Jan
ancient13–50.027%22 Jan
dust213–11-0.0411%15 Jan
train13–9-0.0314%15 Jan
nuke11–13-0.019%2 Nov
nuke11–13-0.0410%26 Oct
train13–60.0714%26 Oct
ancient16–140.0014%25 Oct
dust24–13-0.058%25 Oct
nuke13–40.067%25 Oct
overpass6–130.0415%25 Oct
nuke13–9-0.0616%25 Oct
train9–130.1115%25 Oct
nuke13–110.1013%25 Oct
dust213–60.1013%24 Oct
ancient13–50.0213%24 Oct
ancient13–6-0.0114%24 Oct
ancient15–150.0011%24 Oct
train13–9-0.0411%20 Oct
overpass8–13-0.0115%20 Oct
overpass13–100.0311%19 Oct
train13–90.016%19 Oct
ancient8–13-0.0231%19 Oct
dust25–13-0.0320%10 Oct
nuke13–16-0.0213%10 Oct
nuke16–130.0310%10 Oct
inferno13–90.1126%10 Oct
ancient13–30.0211%9 Oct
dust213–10-0.0123%8 Oct

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 →