Hank Hollywood

Hank Hollywood — CS2 Stats

US76561197965586476[U:1:5320748]Steam profile ↗✓ No bans

1,564Tracked matches67%Win rate2020Tracked since
CSDB Rating7.6 StrongSupport
Premier CS Rating27,611Top 5% of 175,286 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3257 of 223631 tracked
FaceitLevel 10 · 2,399 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,564 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. 21 days played since 27 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 27,611 +168 27 Jun11 Sept · 13 days played
26,32127,611peak 27,61127 Jun11 Sept
Faceit ELO: 2,399 +0 30 Aug11 Sept · 3 observations
2,3992,399peak 2,39930 Aug11 Sept
27,754Peak Premier in tracked matches
2,399Highest Faceit ELO seen on CSDB
21Days played since 2026-06-27

Faceit ELO

  • At peak — 2,399
  • Next: 2,500 ELO at 2,500 101 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • At peak — 27,611
  • +168 over 90 days
  • Next: Gold band at 30,000 2,389 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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.

Share this profile

CSDB.GGHank HollywoodFACEITLevel 10 · 2,399 ELOSTANDINGTop 12.4% of rankedPREMIER27,611 · Red bandPEAK ELO2,399csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim87
Positioning53
Utility66

0–100 skill scores via Leetify.

Recent form

HOT57376Last 10057%Win rateLWWWWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −4.3pp headshot accuracy · −25ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 571ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 557ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

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 (+1.5 against its own average).

Aim8.7
Utility6.6
Positioning5.3
Opening Duels3.9
Clutch4.4

Sharp aimer

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim8.7
Positioning5.3
Utility6.6
Mechanics8.3
Opening Duels2.9
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time571ms+4ms
first ⅓ avg 567ms → last ⅓ avg 571ms
Headshot accuracy18.6%−2.8%
first ⅓ avg 21.5% → last ⅓ avg 18.6%

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

0.14Best match rating · 13–2 · dust2, 22 Jul
100%Best headshot accuracy · 0–4 · dust2, 28 Jun
367msFastest reaction time · 13–5 · train, 20 Jul
13–0Biggest win · italy, 20 Jul

Across the last 100 tracked matches.

Highlights

8Longest win streak
66In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 73% over 11ancientWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
cacheB25121348%0.01
anubisA159660%0.02
dust2A159660%0.00
ancientB136746%0.02
nukeS118373%0.03
infernoS64267%0.04
vertigo42250%0.00
boulder32167%0.04
italy32167%0.05
shelter21150%0.01
fachwerk110100%-0.02
train110100%-0.05
mirage1010%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

981Matches
58%Win rate
1.11Avg K/D
86.6ADR
43%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
19Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis4464%1.3818.4
Ancient4360%1.0015.9
Nuke2462%1.4517.6
Dust22330%0.9616.1
Inferno2352%1.3617.8
Cache2070%1.1918.4
Train888%1.3619.0
Vertigo786%1.1615.9

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.

17.9%Headshot accuracy
41.5%Accuracy (enemy spotted)
43.6%Spray accuracy
87.2%Counter-strafing
9.5°Preaim
570msReaction time
33.1%T opening success
49.9%CT opening success
0.61Enemies flashed / flash
9.3%Flash assists
9.39HE damage / grenade
10.18Flashes / 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 33.1006% — 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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–130.0321%13 Aug
cache13–5-0.0012%3 Aug
ancient13–110.0121%31 Jul
anubis13–110.0918%31 Jul
nuke13–10-0.0416%31 Jul
cache13–60.0418%30 Jul
cache10–13-0.017%30 Jul
anubis2–130.0218%30 Jul
anubis13–70.0611%29 Jul
anubis13–50.0213%29 Jul
cache13–70.0320%29 Jul
ancient13–6-0.0315%29 Jul
nuke8–130.0216%29 Jul
nuke13–40.0311%29 Jul
anubis4–13-0.0134%29 Jul
anubis13–10-0.0123%29 Jul
anubis13–60.0715%29 Jul
ancient14–16-0.0219%28 Jul
cache13–50.0013%28 Jul
anubis7–30.1231%28 Jul
nuke13–70.0813%27 Jul
cache6–13-0.0311%27 Jul
dust213–110.0425%27 Jul
ancient4–13-0.0425%27 Jul
anubis3–0-0.0940%27 Jul
cache8–1-0.0721%27 Jul
cache9–130.0115%27 Jul
cache13–10.0927%27 Jul
anubis13–160.0118%26 Jul
cache13–50.0220%26 Jul
cache15–150.0319%24 Jul
nuke13–5-0.0313%23 Jul
nuke11–130.0617%23 Jul
anubis13–8-0.0410%23 Jul
dust213–50.0115%23 Jul
ancient2–00.0640%23 Jul
ancient13–50.0318%23 Jul
inferno13–80.0820%23 Jul
cache13–40.0317%23 Jul
dust213–5-0.0333%23 Jul
nuke13–40.0014%22 Jul
shelter5–13-0.0218%22 Jul
fachwerk13–7-0.0219%22 Jul
boulder13–20.0614%22 Jul
vertigo7–13-0.0415%22 Jul
ancient13–90.0719%22 Jul
dust213–20.1433%22 Jul
anubis13–6-0.0311%21 Jul
cache3–13-0.0033%21 Jul
shelter13–90.0424%21 Jul
italy13–10.0518%21 Jul
vertigo13–40.0512%21 Jul
vertigo12–12-0.0215%21 Jul
nuke13–70.0419%21 Jul
ancient12–120.0421%21 Jul
cache5–13-0.0314%21 Jul
cache11–130.0020%21 Jul
cache10–130.0722%21 Jul
anubis7–130.0128%21 Jul
vertigo13–60.0120%21 Jul
italy13–00.0523%20 Jul
boulder13–40.0316%20 Jul
train13–5-0.0518%20 Jul
cache5–13-0.0224%20 Jul
cache13–9-0.0315%20 Jul
ancient12–120.0233%20 Jul
nuke11–130.0831%19 Jul
cache13–6-0.048%19 Jul
italy8–130.0326%19 Jul
boulder12–120.0413%18 Jul
nuke13–110.0115%18 Jul
cache12–12-0.0311%18 Jul
cache2–13-0.0419%7 Jul
cache13–80.0521%7 Jul
inferno16–140.0420%1 Jul
cache9–130.0212%30 Jun
cache8–30.0421%30 Jun
ancient8–13-0.0015%30 Jun
dust26–13-0.0521%30 Jun
ancient7–13-0.0229%30 Jun
ancient13–100.0719%30 Jun
dust22–13-0.0019%30 Jun
dust213–6-0.0219%30 Jun
dust21–13-0.0618%29 Jun
nuke13–80.0524%29 Jun
dust24–130.0513%29 Jun
inferno13–90.1220%29 Jun
dust213–6-0.0028%29 Jun
dust213–4-0.0326%29 Jun
dust24–130.0730%28 Jun
inferno10–13-0.0218%28 Jun
inferno13–80.0420%28 Jun
dust213–40.0722%28 Jun
anubis11–130.0822%28 Jun
mirage7–130.0015%28 Jun
ancient8–130.0118%28 Jun
dust20–4-0.14100%28 Jun
inferno11–13-0.0110%27 Jun
dust216–13-0.037%27 Jun
anubis8–13-0.0227%27 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →