Hollywood

Hollywood — CS2 Stats

US76561198087952531[U:1:127686803]Steam profile ↗✓ No bans

520Tracked matches50%Win rate2022Tracked since
CSDB Rating5.8 SolidHybrid Rifler
Premier CS Rating21,454Pink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#6694 of 18901 tracked
FaceitLevel 8 · 2,122 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHollywoodFACEITLevel 8 · 2,122 ELOSTANDINGTop 31.2% of rankedPREMIER21,454 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateLLLWWWLWLW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

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

Aim6.7
Aggression7.2
Utility5.2
Positioning5.6
Opening Duels2.9
Clutch3.6

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 89% playstyle similarity

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

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

Reaction time. 629ms 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

Aim6.7
Positioning5.6
Utility5.2
Mechanics6.9
Opening Duels2.9
Win Impact5.0

Composite 5.8/10 (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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time630ms−21ms
first ⅓ avg 651ms → last ⅓ avg 630ms
Headshot accuracy29.3%−3.3%
first ⅓ avg 32.6% → last ⅓ avg 29.3%

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

0.19Best rating — mirage 13–1
131Biggest win — mirage
4Longest win streak
L3Current streak
138In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 58% over 24trainWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A24141058%-0.01
mirageC2191243%0.00
ancientD124833%0.01
cacheC114736%0.01
infernoC104640%0.01
nukeA95456%0.01
trainD71614%-0.03
overpass43175%-0.03
anubis21150%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

530Matches
56%Win rate
1.10Avg K/D
76.7ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
29Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10656%1.1016.0
Dust29559%0.9514.5
Overpass6060%1.2017.6
Ancient5551%1.1316.2
Inferno3345%1.1215.8
Nuke2843%0.9315.8
Train2365%1.5616.2
Cache933%0.9514.0

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.

28.9%Headshot accuracy
30.4%Accuracy (enemy spotted)
34.7%Spray accuracy
80.9%Counter-strafing
11.8°Preaim
629msReaction time
35.5%T opening success
48.1%CT opening success
0.41Enemies flashed / flash
6.8%Flash assists
12.67HE damage / grenade
7.01Flashes / 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. 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 0.415 — below the 0.5 mark we flag

    Grenade Lineups
  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 35.4749% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0720%22 Aug
ancient4–130.0533%22 Aug
inferno7–130.1140%22 Aug
inferno13–110.0147%22 Aug
mirage13–110.0240%22 Aug
mirage13–30.1637%19 Aug
mirage5–13-0.0332%16 Aug
dust213–7-0.0220%16 Aug
mirage8–13-0.0323%16 Aug
inferno13–40.0118%16 Aug
ancient13–60.1131%16 Aug
ancient10–130.0734%15 Aug
inferno13–7-0.0420%15 Aug
mirage9–130.0124%15 Aug
cache13–6-0.0130%8 Aug
nuke11–130.0033%8 Aug
cache3–13-0.0323%8 Aug
dust219–17-0.0331%8 Aug
cache13–11-0.0028%3 Aug
dust213–11-0.0340%3 Aug
dust29–13-0.0024%3 Aug
dust213–110.0722%25 Jul
dust213–3-0.0216%25 Jul
ancient11–130.0231%23 Jul
anubis13–10-0.0235%23 Jul
dust220–220.0323%20 Jul
cache13–20.0922%19 Jul
anubis7–13-0.0418%19 Jul
nuke8–13-0.0029%19 Jul
cache11–13-0.0637%19 Jul
dust216–12-0.0141%19 Jul
dust28–130.0138%18 Jul
cache12–160.0030%18 Jul
nuke16–140.0727%18 Jul
ancient13–11-0.0124%18 Jul
inferno13–40.0533%18 Jul
dust213–110.0437%18 Jul
mirage2–13-0.0525%17 Jul
inferno8–13-0.0129%17 Jul
nuke13–90.0127%17 Jul
dust213–70.0029%17 Jul
inferno4–13-0.0419%14 Jul
nuke16–120.0331%14 Jul
cache6–13-0.0416%14 Jul
ancient11–130.0123%14 Jul
dust213–70.0326%13 Jul
nuke13–90.0030%9 Jul
mirage3–13-0.0632%9 Jul
mirage13–9-0.0118%12 Jun
cache13–60.0643%10 May
cache12–120.0628%7 May
cache7–130.0633%7 May
cache8–13-0.0421%29 Apr
ancient15–15-0.0523%11 Apr
mirage13–9-0.0245%11 Apr
mirage16–14-0.0330%20 Jan
ancient8–13-0.0632%16 Jan
dust23–13-0.0523%15 Jan
mirage13–90.0446%15 Jan
mirage13–90.0328%10 Jan
dust213–50.0148%10 Jan
mirage13–10-0.0233%30 Dec
train9–13-0.0128%30 Dec
inferno6–13-0.0228%23 Dec
mirage3–13-0.0417%23 Dec
train4–13-0.0732%23 Dec
dust210–13-0.0634%19 Dec
train15–15-0.0222%18 Dec
ancient7–130.0023%18 Dec
dust213–10-0.0034%16 Dec
overpass9–13-0.1021%16 Dec
dust26–13-0.0029%16 Dec
dust213–40.0426%13 Dec
nuke13–110.0426%13 Dec
train11–80.0230%13 Dec
mirage9–13-0.0132%13 Dec
dust212–16-0.0348%12 Dec
mirage13–10.1940%9 Dec
mirage8–130.0228%7 Dec
ancient7–13-0.0323%7 Dec
ancient13–6-0.0435%6 Dec
train10–13-0.0329%6 Dec
overpass13–11-0.0030%5 Dec
inferno11–13-0.0031%4 Dec
train13–16-0.0348%4 Dec
nuke9–130.0032%3 Dec
dust26–13-0.0428%3 Dec
dust213–11-0.0242%2 Dec
dust214–16-0.0524%29 Nov
nuke5–13-0.0541%26 Nov
overpass13–10-0.0213%21 Nov
inferno10–130.0136%19 Nov
overpass13–6-0.0046%19 Nov
ancient13–100.0342%4 Nov
dust28–13-0.0143%4 Nov
mirage9–13-0.0333%4 Nov
mirage10–130.0444%4 Nov
mirage11–13-0.0335%31 Oct
train10–13-0.0424%31 Oct
dust213–8-0.0137%31 Oct

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →