Hopkins24

Hopkins24 — CS2 Stats

76561198193083030[U:1:232817302]Steam profile ↗✓ No bans

1,367Tracked matches41%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
FaceitLevel 6 · 1,430 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,430 → 1,430
+8Tracked matches · now 1,367
−2.0ppWin rate · 43.3% → 41.4%

Rating over time

Premier CS Rating: 19,027 +1,317 8 Mar – 23 Apr · 16 days played
17,71020,875peak 20,8758 Mar23 Apr
Faceit ELO: 1,430 +0 3 Sept – 21 Sept · 3 observations
1,4301,430peak 1,4303 Sept21 Sept
21,074Peak Premier in tracked matches
1,430Highest Faceit ELO seen on CSDB
31Days played since 2026-03-07

Faceit ELO

  • At peak — 1,430
  • Next: Level 8 at 1,531 — 101 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

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.GGHopkins24FACEITLevel 6 · 1,430 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,430csdb.gg/stats

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Performance scores

Aim77
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLLTWLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.00 avg rating · +1.8pp headshot accuracy · −26ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 536ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 543ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.7
Utility4.8
Positioning4.6
Opening Duels2.7
Clutch3.0

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 56% on CT to 20% 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

Aim7.7
Positioning4.6
Utility4.8
Mechanics7.6
Opening Duels3.3
Win Impact2.1

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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time550ms−87ms
first ⅓ avg 637ms → last ⅓ avg 550ms
Headshot accuracy15.1%−0.1%
first ⅓ avg 15.2% → last ⅓ avg 15.1%

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

0.12Best match rating · 13–2 · overpass, 21 Apr →
40%Best headshot accuracy · 4–13 · cache, 11 Sept →
398msFastest reaction time · 13–9 · anubis, 21 Apr →
13–0Biggest win · mirage, 31 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.02
infernoD143–1121%-0.06
ancientB136–746%-0.01
anubisB136–746%-0.03
dust2A127–558%-0.03
nukeB115–645%-0.02
cacheA53–260%0.02
overpassA53–260%-0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

836Matches
50%Win rate
0.84Avg K/D
73.2ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11749%0.8513.5
Dust24848%0.9414.9
Ancient4652%0.8815.6
Nuke4670%0.9714.6
Inferno4250%0.8113.1
Overpass2259%0.7612.0
Anubis2055%0.8214.1
Train1354%1.0814.7

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.

14.4%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.9%Spray accuracy
84.1%Counter-strafing
9.1°Preaim
548msReaction time
20.4%T opening success
56.1%CT opening success
0.49Enemies flashed / flash
4.8%Flash assists
9.05HE damage / grenade
6.62Flashes / 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 14.405% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4937 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 20.4369% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0010%8 Oct →
inferno2–13-0.090%8 Oct →
anubis12–12-0.049%8 Oct →
cache13–30.0021%27 Sept →
anubis9–13-0.0116%23 Sept →
dust29–13-0.0320%18 Sept →
nuke13–16-0.0513%18 Sept →
mirage13–10-0.0614%12 Sept →
cache4–130.0740%11 Sept →
cache9–130.0320%11 Sept →
dust211–3-0.0530%11 Sept →
mirage13–7-0.0516%10 Sept →
ancient13–100.0519%3 Sept →
vertigo10–13-0.044%2 Sept →
inferno3–13-0.0610%2 Sept →
cache13–60.0417%2 Sept →
anubis13–3-0.0114%2 Sept →
anubis13–10-0.0212%1 Sept →
cache13–10-0.0218%1 Sept →
nuke11–13-0.026%1 Sept →
mirage15–19-0.0411%1 Sept →
dust29–13-0.0313%1 Sept →
inferno14–16-0.067%1 Sept →
ancient13–60.1217%31 Aug →
mirage13–100.0310%31 Aug →
mirage4–13-0.0514%31 Aug →
nuke11–13-0.0212%23 Apr →
ancient2–13-0.0725%23 Apr →
mirage11–13-0.0012%23 Apr →
mirage16–14-0.0318%23 Apr →
mirage7–13-0.039%22 Apr →
inferno10–13-0.0821%22 Apr →
overpass14–16-0.0920%21 Apr →
anubis13–9-0.073%21 Apr →
overpass13–20.126%21 Apr →
ancient13–7-0.048%21 Apr →
inferno10–13-0.0811%21 Apr →
mirage5–13-0.0911%7 Apr →
ancient11–13-0.0415%7 Apr →
anubis10–130.0117%1 Apr →
mirage3–13-0.0329%1 Apr →
dust213–5-0.0510%31 Mar →
anubis13–5-0.0713%31 Mar →
dust29–130.0416%31 Mar →
nuke8–13-0.0013%31 Mar →
nuke8–13-0.058%31 Mar →
mirage11–13-0.0217%31 Mar →
inferno13–110.0218%31 Mar →
mirage13–00.0622%31 Mar →
inferno8–13-0.0513%26 Mar →
anubis8–13-0.0318%26 Mar →
ancient5–13-0.106%25 Mar →
nuke13–9-0.0322%25 Mar →
overpass13–7-0.0815%24 Mar →
anubis9–130.0113%22 Mar →
nuke8–13-0.0426%22 Mar →
mirage8–13-0.0815%22 Mar →
nuke13–7-0.035%22 Mar →
inferno13–5-0.060%22 Mar →
mirage8–13-0.0712%22 Mar →
mirage13–40.0020%20 Mar →
dust28–13-0.0924%18 Mar →
inferno12–16-0.0720%18 Mar →
mirage13–6-0.0215%18 Mar →
overpass9–13-0.0627%18 Mar →
ancient13–80.0019%18 Mar →
inferno11–13-0.0514%18 Mar →
anubis7–13-0.079%17 Mar →
inferno11–13-0.099%17 Mar →
mirage13–11-0.039%17 Mar →
mirage11–13-0.0714%14 Mar →
dust213–6-0.0321%14 Mar →
inferno13–2-0.059%14 Mar →
anubis16–14-0.0312%14 Mar →
anubis7–13-0.0510%14 Mar →
dust28–13-0.0620%14 Mar →
mirage13–10-0.0211%14 Mar →
ancient1–13-0.0435%14 Mar →
mirage10–13-0.0713%14 Mar →
nuke13–70.0117%14 Mar →
dust213–10-0.099%14 Mar →
dust213–11-0.0015%13 Mar →
dust213–4-0.0220%12 Mar →
ancient13–50.099%12 Mar →
overpass13–110.0016%11 Mar →
mirage5–13-0.0417%11 Mar →
mirage13–90.0818%11 Mar →
dust213–60.0424%11 Mar →
anubis16–14-0.0514%9 Mar →
mirage13–40.0521%9 Mar →
inferno6–130.0114%9 Mar →
ancient12–12-0.0316%8 Mar →
mirage13–90.0415%8 Mar →
nuke13–10.0119%8 Mar →
ancient8–13-0.0714%8 Mar →
inferno7–13-0.105%8 Mar →
mirage13–11-0.0312%7 Mar →
nuke13–9-0.0018%7 Mar →
mirage11–13-0.0424%7 Mar →
ancient13–6-0.0215%7 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.