Sexy House Brick — CS2 Stats

76561198109764221[U:1:149498493]

957Tracked matches53%Win rate2026Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating21,129Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#10611 of 30843 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSexy House BrickFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,129 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning66
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWLLWLLLWWL

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

Player DNA

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

Aim6.5
Aggression8.2
Utility5.0
Positioning6.6
Opening Duels3.3
Clutch3.0

Strong CT-side openerLimited utility dependence

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 51% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.5
Positioning6.6
Utility5.0
Mechanics7.4
Opening Duels3.3
Win Impact6.1

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time513ms−59ms
first ⅓ avg 571ms → last ⅓ avg 513ms
Headshot accuracy10.7%−3.1%
first ⅓ avg 13.7% → last ⅓ avg 10.7%

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

0.13Best rating — dust2 13–6
131Biggest win — anubis
5Longest win streak
95In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 61% over 18ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%0.00
mirageB189950%-0.01
cacheA1811761%0.02
infernoA127558%-0.00
anubisA116555%0.01
nukeA116555%0.03
ancientD72529%0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

172Matches
55%Win rate
1.04Avg K/D
76.0ADR
29%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4648%1.0915.5
Dust23967%1.0814.6
Cache2352%0.9414.3
Ancient2138%0.9413.4
Inferno1547%1.1314.7
Nuke1392%1.0314.9
Anubis1242%0.9412.8
Overpass367%1.5416.3

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.

10.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.2%Spray accuracy
83.3%Counter-strafing
9.1°Preaim
518msReaction time
35.8%T opening success
51.0%CT opening success
0.51Enemies flashed / flash
5.3%Flash assists
9.36HE damage / grenade
4.85Flashes / 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 10.7551% — 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 35.7726% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–00.030%29 Aug
dust26–13-0.045%29 Aug
ancient14–160.0210%28 Aug
mirage13–30.0510%28 Aug
cache7–130.076%28 Aug
mirage6–13-0.075%27 Aug
cache10–130.036%27 Aug
anubis13–70.0713%27 Aug
cache16–14-0.0313%26 Aug
nuke6–13-0.018%26 Aug
nuke13–110.0111%26 Aug
dust213–60.138%25 Aug
ancient10–13-0.077%25 Aug
nuke13–100.0614%24 Aug
dust25–13-0.1016%24 Aug
cache9–13-0.0114%23 Aug
dust213–100.0310%23 Aug
nuke13–80.028%23 Aug
anubis9–13-0.0113%23 Aug
mirage4–13-0.058%22 Aug
dust213–30.0320%22 Aug
mirage13–80.047%22 Aug
anubis13–40.0221%22 Aug
mirage13–8-0.0318%22 Aug
cache13–100.0611%22 Aug
dust23–13-0.0613%22 Aug
dust26–13-0.0211%22 Aug
mirage13–110.0315%22 Aug
nuke12–16-0.059%22 Aug
nuke13–50.094%22 Aug
dust26–130.0214%21 Aug
inferno5–13-0.029%21 Aug
inferno13–70.0213%21 Aug
dust211–13-0.0213%20 Aug
cache13–110.028%19 Aug
dust213–7-0.018%19 Aug
mirage13–50.1017%19 Aug
dust216–120.0510%19 Aug
mirage9–13-0.039%18 Aug
inferno13–11-0.040%18 Aug
cache16–140.0513%18 Aug
inferno13–9-0.038%17 Aug
nuke7–130.0214%17 Aug
inferno13–40.0713%16 Aug
mirage4–13-0.0717%16 Aug
dust213–30.049%16 Aug
inferno13–60.0816%16 Aug
nuke13–80.0514%16 Aug
cache10–130.016%16 Aug
anubis5–13-0.079%16 Aug
nuke13–60.0613%15 Aug
anubis13–4-0.057%15 Aug
ancient13–50.0718%15 Aug
cache13–70.1217%15 Aug
mirage3–13-0.057%15 Aug
dust29–13-0.0310%15 Aug
ancient13–50.037%15 Aug
mirage11–130.0318%15 Aug
cache5–13-0.038%15 Aug
inferno10–130.0213%14 Aug
dust213–50.1113%14 Aug
mirage13–9-0.066%11 Aug
cache15–150.0811%11 Aug
mirage11–13-0.027%10 Aug
cache13–11-0.0012%10 Aug
dust29–13-0.007%9 Aug
mirage13–9-0.0213%9 Aug
cache13–70.0023%9 Aug
inferno7–20.0318%9 Aug
dust28–130.0320%9 Aug
dust210–13-0.0315%9 Aug
inferno7–13-0.0312%9 Aug
anubis13–10.0817%2 Aug
mirage13–5-0.0118%2 Aug
dust28–13-0.0417%2 Aug
anubis13–80.0313%2 Aug
inferno2–13-0.049%1 Aug
cache16–12-0.0319%1 Aug
dust25–13-0.058%30 Jul
inferno13–10-0.0611%30 Jul
anubis6–13-0.0515%28 Jul
anubis14–160.0210%27 Jul
cache16–140.0428%26 Jul
mirage6–13-0.0318%26 Jul
nuke6–130.0813%26 Jul
ancient5–130.0113%26 Jul
cache16–13-0.0315%26 Jul
dust213–70.019%26 Jul
mirage13–11-0.045%26 Jul
cache7–13-0.0410%25 Jul
inferno6–130.009%25 Jul
anubis6–13-0.039%24 Jul
mirage7–13-0.0312%23 Jul
ancient10–130.0613%23 Jul
cache13–7-0.0115%22 Jul
dust213–2-0.020%22 Jul
anubis13–30.1122%21 Jul
dust213–80.0118%21 Jul
nuke7–130.0120%20 Jul
ancient15–15-0.004%19 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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