beverly hills mom

beverly hills mom — CS2 Stats

US76561198129793014[U:1:169527286]Steam profile ↗✓ No bans

987Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 987 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 16 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,408 -6,255 16 Nov22 May · 26 days played
14,56423,815peak 23,81516 Nov22 May
24,132Peak Premier in tracked matches
43Days played since 2025-11-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGbeverly hills momFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning46
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateLLWLLWWTWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.6pp headshot accuracy · +50ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 639ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 648ms

Last 20

  • 1262 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 623ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.6
Utility5.7
Positioning4.6
Opening Duels2.8
Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 634ms 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

Aim6.6
Positioning4.6
Utility5.7
Mechanics7.6
Opening Duels2.3
Win Impact5.0

Composite 5.6/10 (Solid), 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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time622ms+13ms
first ⅓ avg 610ms → last ⅓ avg 622ms
Headshot accuracy16.1%−1.9%
first ⅓ avg 18.0% → last ⅓ avg 16.1%

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.

Personal bests

0.16Best match rating · 16–12 · mirage, 4 May
50%Best headshot accuracy · 4–13 · nuke, 4 Feb
375msFastest reaction time · 13–5 · ancient, 8 May
13–3Biggest win · inferno, 16 Nov

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
710In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 67% over 9nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%-0.00
dust2B22111150%0.00
infernoC135838%-0.01
ancientC114736%-0.01
anubisS96367%-0.01
overpassD93633%-0.00
nukeD72529%-0.01
cacheA53260%0.03
train110100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

66Matches
48%Win rate
1.36Avg K/D
99.7ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
60%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage683%1.6716.7
Dust2250%3.5225.0
Anubis2100%1.6114.5
Inferno1100%2.4527.0
Nuke1100%0.8320.0
Cache10%1.2018.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
38.2%Spray accuracy
84.3%Counter-strafing
11.0°Preaim
634msReaction time
35.1%T opening success
43.3%CT opening success
0.56Enemies flashed / flash
5.5%Flash assists
7.12HE damage / grenade
9.67Flashes / 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 35.0901% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–130.0613%5 Sept
inferno2–130.0018%5 Sept
mirage13–80.0518%22 May
dust29–13-0.0517%21 May
mirage10–13-0.0313%21 May
anubis13–7-0.0515%20 May
mirage13–5-0.047%20 May
inferno15–15-0.0512%19 May
nuke13–90.0213%19 May
ancient13–80.0119%19 May
dust213–40.0224%19 May
anubis13–8-0.0111%18 May
mirage13–7-0.0213%18 May
inferno7–13-0.0414%18 May
anubis13–8-0.0016%17 May
mirage13–110.0719%17 May
mirage15–150.0420%17 May
dust213–4-0.0120%16 May
ancient2–130.0326%16 May
dust216–14-0.0118%16 May
mirage5–13-0.0239%16 May
nuke10–13-0.0214%15 May
mirage9–13-0.0212%15 May
ancient5–13-0.0619%14 May
anubis9–13-0.0611%14 May
dust211–130.0114%14 May
dust213–110.1011%12 May
dust28–13-0.0116%12 May
ancient8–130.0415%11 May
anubis13–10-0.0215%11 May
mirage13–110.0210%11 May
dust213–8-0.0114%11 May
inferno13–5-0.0016%11 May
dust29–13-0.0317%10 May
ancient11–13-0.0116%10 May
dust213–70.0516%10 May
inferno13–80.0211%10 May
dust213–11-0.0220%10 May
dust211–130.0714%9 May
ancient9–13-0.0411%9 May
dust29–130.0318%9 May
inferno13–16-0.0326%9 May
overpass13–100.0310%9 May
ancient13–90.0717%9 May
mirage13–9-0.0319%9 May
ancient13–50.0217%8 May
inferno4–13-0.0223%8 May
mirage13–10-0.0311%7 May
nuke11–13-0.0318%7 May
cache8–13-0.0225%7 May
cache7–5-0.0425%6 May
mirage13–9-0.0315%6 May
mirage13–4-0.0121%6 May
ancient11–13-0.0421%5 May
inferno9–13-0.0314%4 May
mirage16–120.1614%4 May
mirage13–40.0716%4 May
overpass10–13-0.0921%3 May
dust214–16-0.0316%3 May
mirage11–13-0.0310%3 May
overpass10–13-0.0511%2 May
anubis13–110.0623%2 May
dust27–13-0.0719%2 May
dust25–13-0.0525%2 May
cache4–130.0625%1 May
cache13–60.0826%1 May
cache13–70.0530%30 Apr
anubis13–60.0516%28 Apr
inferno5–13-0.0716%28 Apr
anubis11–13-0.0231%11 Apr
inferno13–40.0622%21 Mar
mirage14–16-0.0324%20 Mar
inferno5–13-0.0224%20 Mar
ancient8–13-0.0511%16 Mar
dust213–80.0819%16 Mar
anubis7–13-0.0421%16 Feb
mirage3–10-0.0315%7 Feb
nuke15–150.0121%6 Feb
dust216–120.0324%5 Feb
nuke4–13-0.0350%4 Feb
mirage13–50.0313%4 Feb
inferno13–9-0.0110%8 Jan
train13–40.000%18 Dec
dust215–15-0.0119%13 Dec
nuke0–13-0.050%13 Dec
mirage13–8-0.0214%13 Dec
overpass13–100.0223%24 Nov
mirage10–13-0.0312%23 Nov
overpass8–13-0.0818%21 Nov
dust216–13-0.0319%21 Nov
overpass6–130.0519%20 Nov
mirage8–13-0.0410%20 Nov
overpass1–13-0.0028%20 Nov
nuke16–130.0310%20 Nov
overpass13–60.1118%19 Nov
mirage15–15-0.0215%19 Nov
overpass15–150.0117%18 Nov
dust213–10-0.0214%16 Nov
ancient13–7-0.0316%16 Nov
inferno13–30.0626%16 Nov

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 →