millsy

millsy — CS2 Stats

GB76561198349024237[U:1:388758509]Steam profile ↗✓ No bans

2,230Tracked matches54%Win rate2020Tracked since
CSDB Rating6.8 SolidSupport
Premier CS Rating23,049Top 25% of 200,982 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#40751 of 247916 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (20 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: 23,049 +505 4 Jul – 12 Sept · 13 days played
22,19723,842peak 23,8424 Jul12 Sept
24,077Peak Premier in tracked matches
35Days played since 2026-06-20

Premier CS Rating

  • 793 below peak (23,842)
  • -66 over 30 days · steady
  • Next: Red band at 25,000 — 1,951 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

Share this profile

CSDB.GGmillsyFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,049 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning56
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateTLWWWTLLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.7pp headshot accuracy · +5ms reaction

Win rate −10pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 590ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 588ms

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).

Aim8.4
Utility6.8
Positioning5.6
Opening Duels2.2
Clutch4.8

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim8.4
Positioning5.6
Utility6.8
Mechanics7.8
Opening Duels2.3
Win Impact6.2

Composite 6.8/10 (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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time590ms−53ms
first ⅓ avg 643ms → last ⅓ avg 590ms
Headshot accuracy26.2%−2.2%
first ⅓ avg 28.4% → last ⅓ avg 26.2%

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

0.27Best match rating · 9–0 · nuke, 14 Aug →
50%Best headshot accuracy · 1–10 · nuke, 18 Jul →
453msFastest reaction time · 13–1 · dust2, 21 Aug →
13–1Biggest win · cache, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA2514–1156%0.04
infernoS1611–569%0.06
nukeB137–654%0.04
dust2C114–736%0.02
ancientD103–730%0.06
anubisA85–363%0.04
mirageA53–260%0.04
vertigo—43–175%0.07
train—41–325%0.03
overpass—21–150%0.01
italy—11–0100%0.06
fachwerk—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

577Matches
54%Win rate
1.08Avg K/D
79.8ADR
38%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2857%1.0415.0
Inferno2458%1.1315.4
Dust22458%1.3616.3
Anubis2060%1.1616.9
Ancient1747%1.0315.9
Nuke757%0.9617.0
Cache580%1.8116.4
Vertigo367%1.2812.7

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.

26.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.5%Spray accuracy
85.1%Counter-strafing
8.0°Preaim
589msReaction time
28.4%T opening success
48.7%CT opening success
0.52Enemies flashed / flash
6.2%Flash assists
12.73HE damage / grenade
10.67Flashes / 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 28.4391% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.0627%23 Sept →
dust29–130.0423%13 Sept →
cache13–110.0716%13 Sept →
inferno13–30.0319%13 Sept →
nuke13–110.1111%12 Sept →
cache12–120.0926%12 Sept →
dust23–13-0.0121%9 Sept →
vertigo5–130.0320%9 Sept →
ancient10–13-0.0036%5 Sept →
inferno13–110.0138%5 Sept →
ancient11–13-0.0525%4 Sept →
cache13–10.1832%1 Sept →
dust21–13-0.1122%31 Aug →
overpass13–50.0420%29 Aug →
vertigo8–90.0942%29 Aug →
nuke6–13-0.0025%29 Aug →
inferno13–60.1636%29 Aug →
dust29–130.0232%29 Aug →
anubis13–100.1626%28 Aug →
cache8–130.0125%28 Aug →
train7–13-0.0323%28 Aug →
inferno13–90.0421%28 Aug →
vertigo13–50.1519%28 Aug →
italy13–80.0628%28 Aug →
mirage13–20.1233%28 Aug →
cache6–130.0627%28 Aug →
cache16–130.0531%26 Aug →
nuke6–13-0.0536%26 Aug →
cache13–90.0525%26 Aug →
anubis9–130.0119%25 Aug →
inferno10–130.0515%25 Aug →
inferno12–120.0539%21 Aug →
dust213–100.1129%21 Aug →
mirage13–40.0123%21 Aug →
dust213–10.1146%21 Aug →
cache7–130.0319%21 Aug →
cache13–11-0.0121%20 Aug →
inferno12–120.0117%20 Aug →
ancient12–120.0434%20 Aug →
train8–130.0232%20 Aug →
anubis11–130.0228%19 Aug →
ancient13–10.0931%19 Aug →
inferno13–100.0732%17 Aug →
cache11–13-0.0815%17 Aug →
cache16–130.0525%15 Aug →
cache10–130.0121%15 Aug →
anubis13–40.1119%15 Aug →
cache12–120.1431%14 Aug →
nuke11–10.029%14 Aug →
dust28–13-0.0629%14 Aug →
cache1–13-0.0915%14 Aug →
inferno13–60.0927%14 Aug →
ancient5–130.1033%14 Aug →
nuke9–00.2729%14 Aug →
nuke7–13-0.0116%13 Aug →
mirage6–13-0.0326%13 Aug →
dust213–70.0145%13 Aug →
cache13–90.0034%13 Aug →
anubis13–50.0513%13 Aug →
mirage16–120.0528%7 Aug →
ancient13–90.1024%7 Aug →
ancient10–130.0229%1 Aug →
ancient11–130.0625%1 Aug →
inferno10–130.0922%1 Aug →
nuke13–60.0724%31 Jul →
cache13–70.0726%31 Jul →
inferno13–3-0.0238%31 Jul →
nuke13–10-0.0119%31 Jul →
inferno13–40.0830%31 Jul →
cache13–20.0213%31 Jul →
nuke0–5-0.0627%30 Jul →
cache13–80.0425%30 Jul →
inferno13–40.1524%30 Jul →
ancient13–90.1024%29 Jul →
cache7–130.0220%29 Jul →
anubis13–4-0.0318%27 Jul →
inferno7–130.0728%27 Jul →
cache13–90.0526%27 Jul →
anubis13–110.0431%26 Jul →
nuke13–100.1533%26 Jul →
cache10–130.0018%26 Jul →
train13–20.1136%20 Jul →
inferno13–60.0146%20 Jul →
cache13–100.0625%19 Jul →
fachwerk10–130.0420%19 Jul →
inferno13–90.0118%18 Jul →
nuke1–10-0.0250%18 Jul →
mirage10–130.0430%11 Jul →
dust213–60.0935%11 Jul →
train11–130.0224%11 Jul →
vertigo13–90.0122%10 Jul →
nuke13–7-0.0220%4 Jul →
anubis5–13-0.0528%4 Jul →
ancient6–130.1144%4 Jul →
overpass2–13-0.0220%4 Jul →
cache13–70.0545%27 Jun →
cache6–130.0243%27 Jun →
cache13–110.0335%23 Jun →
nuke9–130.0533%20 Jun →
dust27–13-0.0128%20 Jun →

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 →

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