Miller Lite Enjoyer

Miller Lite Enjoyer — CS2 Stats

US76561198430823233[U:1:470557505]Steam profile ↗✓ No bans

1,255Tracked matches41%Win rate2024Tracked since
535Hours in CS
CSDB Rating3.8 LearningSupport
Premier CS Rating13,853Blue band · top ~34.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,853 +3,853 31 Aug – 4 Nov · 30 days played
9,36715,936peak 15,93631 Aug4 Nov
15,936Peak Premier in tracked matches
33Days played since 2026-08-31

Premier CS Rating

  • 2,083 below peak (15,936)
  • -1,655 over 30 days · declining
  • Next: Purple band at 15,000 — 1,147 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate38.9%42.0%44.4%5.4% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.640.981.030.39 short
Match win rate44.8%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMiller Lite EnjoyerPREMIER13,853 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLLWLWWLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.1pp headshot accuracy · +34ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 592ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 620ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

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 (+2 against its own average).

Aim3.3
Utility5.8
Positioning4.4
Opening Duels1.1

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

Twistzz

Plays most like Twistzz 62% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 53% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 619ms 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

Aim3.3
Positioning4.4
Utility5.8
Mechanics4.8
Opening Duels3.5
Win Impact2.1

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time620ms−83ms
first ⅓ avg 703ms → last ⅓ avg 620ms
Headshot accuracy13.2%+0.0%
first ⅓ avg 13.1% → last ⅓ avg 13.2%

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

0.13Best match rating · 13–0 · inferno, 11 Oct →
32%Best headshot accuracy · 13–9 · dust2, 11 Oct →
453msFastest reaction time · 0–9 · cache, 20 Oct →
13–0Biggest win · inferno, 11 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 75% over 12cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2715–1256%-0.04
ancientA169–756%-0.03
nukeS129–375%-0.02
infernoB115–645%-0.03
anubisC114–736%-0.05
mirageD93–633%-0.04
cacheD81–713%-0.07
office—21–150%-0.06
vertigo—20–20%-0.06
train—21–150%-0.01

Across the last 100 tracked matches.

Lifetime stats

15,920Lifetime kills
0.64K/D
1,456Matches
44.8%Match win rate · Top 50% of Blue band
38.9%Headshot %
0.0%Shot accuracy
1,755MVPs
535Hours (in match)
1,150Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

2,892nuke
1,819dust2
1,620inferno
1,311vertigo
622train
158office
30italy
4ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

13.2%Headshot accuracy
30.2%Accuracy (enemy spotted)
28.7%Spray accuracy
71.6%Counter-strafing
12.2°Preaim
619msReaction time
53.0%T opening success
35.2%CT opening success
0.61Enemies flashed / flash
7.1%Flash assists
8.44HE damage / grenade
7.51Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1914° — above the 12° mark we flag

    Aim Training →
  2. 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 13.2454% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0614%4 Nov →
dust210–13-0.0414%4 Nov →
ancient13–90.037%4 Nov →
mirage13–16-0.0210%3 Nov →
mirage16–14-0.087%3 Nov →
nuke13–70.0313%2 Nov →
dust211–13-0.0711%28 Oct →
inferno8–13-0.1110%28 Oct →
inferno9–13-0.0412%25 Oct →
dust213–6-0.069%25 Oct →
dust26–13-0.0611%23 Oct →
mirage16–13-0.0124%23 Oct →
ancient13–2-0.0512%23 Oct →
dust211–13-0.028%22 Oct →
dust213–100.0117%21 Oct →
ancient7–13-0.0113%21 Oct →
dust215–150.0115%21 Oct →
office13–8-0.0618%20 Oct →
inferno11–13-0.0220%20 Oct →
cache0–9-0.0920%20 Oct →
dust213–3-0.038%20 Oct →
office4–13-0.0622%20 Oct →
mirage5–130.0416%20 Oct →
ancient8–13-0.0613%20 Oct →
dust29–13-0.0611%20 Oct →
anubis13–11-0.0411%16 Oct →
inferno5–13-0.0617%15 Oct →
nuke13–70.0016%15 Oct →
cache9–13-0.109%14 Oct →
anubis13–11-0.0813%14 Oct →
dust213–11-0.0217%14 Oct →
ancient13–90.017%14 Oct →
mirage2–13-0.049%14 Oct →
dust213–9-0.0732%11 Oct →
inferno13–11-0.0311%11 Oct →
inferno13–00.1311%11 Oct →
anubis15–150.0016%11 Oct →
ancient7–13-0.1014%11 Oct →
anubis10–13-0.0812%11 Oct →
mirage13–5-0.0621%10 Oct →
anubis12–16-0.0620%10 Oct →
mirage11–13-0.057%10 Oct →
vertigo6–13-0.067%9 Oct →
train13–110.0113%9 Oct →
dust28–130.0220%9 Oct →
ancient11–13-0.0514%9 Oct →
cache8–13-0.0318%9 Oct →
cache5–13-0.0611%8 Oct →
cache0–5-0.060%7 Oct →
mirage13–16-0.0614%7 Oct →
dust213–60.0216%6 Oct →
nuke15–15-0.029%6 Oct →
anubis13–10-0.0813%4 Oct →
cache12–12-0.0823%4 Oct →
dust213–7-0.0616%4 Oct →
cache13–9-0.0623%4 Oct →
dust213–8-0.057%4 Oct →
inferno13–5-0.080%4 Oct →
ancient13–8-0.0320%4 Oct →
anubis12–12-0.0716%4 Oct →
nuke13–6-0.0616%4 Oct →
inferno4–13-0.0313%3 Oct →
ancient12–12-0.0719%3 Oct →
dust212–12-0.0323%3 Oct →
ancient9–13-0.0017%29 Sept →
inferno15–15-0.0718%29 Sept →
vertigo11–13-0.0513%27 Sept →
dust214–16-0.0119%26 Sept →
nuke13–11-0.0111%26 Sept →
inferno13–9-0.039%25 Sept →
dust213–9-0.057%25 Sept →
dust211–13-0.0416%24 Sept →
dust210–13-0.0721%22 Sept →
ancient13–7-0.027%21 Sept →
ancient13–2-0.1115%21 Sept →
anubis13–16-0.038%21 Sept →
ancient13–70.0513%21 Sept →
dust213–6-0.035%20 Sept →
inferno13–8-0.0413%20 Sept →
nuke16–14-0.088%20 Sept →
dust216–13-0.0022%17 Sept →
nuke13–8-0.0010%17 Sept →
dust213–10-0.0413%16 Sept →
anubis12–12-0.0311%16 Sept →
anubis4–2-0.0817%16 Sept →
ancient16–14-0.0512%16 Sept →
dust213–8-0.0411%16 Sept →
train11–13-0.0312%16 Sept →
dust26–13-0.1025%15 Sept →
ancient11–13-0.058%15 Sept →
nuke7–130.0424%15 Sept →
nuke13–6-0.039%15 Sept →
dust213–9-0.0220%15 Sept →
nuke10–13-0.0315%14 Sept →
mirage2–13-0.1113%14 Sept →
ancient13–10-0.0318%14 Sept →
dust213–11-0.0711%14 Sept →
nuke13–10-0.027%13 Sept →
anubis13–100.0314%13 Sept →
nuke13–6-0.0713%13 Sept →

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.