Millar

Millar — CS2 Stats

GB76561198124972097[U:1:164706369]Steam profile ↗✓ No bans

1,966Tracked matches31%Win rate2020Tracked since
4,258Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,966
−5.6ppWin rate · 36.7% → 31.0%

Rating over time

49Days played since 2026-04-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate17%——
K/D0.88——
Headshot %48%——

Measured 13 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,591), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate39.7%48.2%50.9%11.2% short
Shot accuracy19.6%13.3%13.7%above
Kill/death ratio1.191.071.09above
Match win rate44.0%46.9%48.4%4.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMillarFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning61
Utility64

0–100 skill scores via Leetify.

Recent form

COLD42–57–1Last 10042%Win rateLLLTLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +3.8pp headshot accuracy · +81ms reaction

Win rate down 20pp 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

  • 0–4–1 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 557ms

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 (+1.5 against its own average).

Aim6.7
Utility6.4
Positioning6.1
Opening Duels2.4
Clutch4.6

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 53% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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
Positioning6.1
Utility6.4
Mechanics5.1
Opening Duels2.9
Win Impact0.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time543ms−36ms
first ⅓ avg 579ms → last ⅓ avg 543ms
Headshot accuracy18.2%−2.6%
first ⅓ avg 20.8% → last ⅓ avg 18.2%

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

0.11Best match rating · 11–13 · mirage, 9 Apr →
100%Best headshot accuracy · 3–0 · cache, 22 Jul →
359msFastest reaction time · 2–13 · nuke, 26 Aug →
13–0Biggest win · ancient, 14 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 57% over 7dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC2711–1641%0.01
infernoC188–1044%0.00
nukeB136–746%-0.00
anubisD133–1023%0.01
mirageA116–555%0.01
cacheA74–357%0.00
dust2D61–517%-0.01
vertigo—20–20%0.01
boulder—11–0100%-0.01
italy—11–0100%0.04
warden—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,484Lifetime kills
1.19K/D · Top 50% of Level 9 players
5,108Matches
44.0%Match win rate
39.7%Headshot %
19.6%Shot accuracy · Top 5% of Level 9 players
16,465MVPs
3,586Hours (in match)
5,573Bombs planted
4,478Bombs defused

Most-used weapons

AK-4746,853
AWP27,008
Knife2,402
MP92,308
MAC-102,200

Lifetime map wins

9,320inferno
5,367vertigo
3,621dust2
3,602nuke
2,220train
219cbble
179lake
125safehouse

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

Faceit stats

Combat

1,534Matches
51%Win rate
1.16Avg K/D
73.5ADR
37%Headshot %

Clutches & streaks

43%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient12746%1.1115.4
Anubis10951%1.2216.1
Vertigo7053%1.1215.1
Nuke5246%1.0614.8
Inferno4650%1.0914.8
Mirage4245%1.0613.6
Dust21850%1.1114.3
Cache450%0.9113.3

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.

17.6%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.3%Spray accuracy
73.0%Counter-strafing
10.1°Preaim
550msReaction time
25.6%T opening success
53.3%CT opening success
0.55Enemies flashed / flash
10.4%Flash assists
9.76HE damage / grenade
13.38Flashes / 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 25.6182% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0111%5 Oct →
vertigo11–130.0319%23 Sept →
dust21–13-0.0421%17 Sept →
dust212–120.0514%17 Sept →
ancient8–130.0529%2 Sept →
inferno9–130.0029%1 Sept →
mirage10–13-0.0510%1 Sept →
inferno13–10-0.0312%28 Aug →
boulder13–9-0.0136%26 Aug →
nuke2–13-0.0820%26 Aug →
mirage13–50.0514%26 Aug →
ancient13–100.1018%25 Aug →
anubis6–130.0219%25 Aug →
anubis6–13-0.0217%25 Aug →
ancient11–13-0.0115%24 Aug →
anubis11–130.0321%24 Aug →
ancient8–13-0.0213%24 Aug →
inferno6–13-0.0914%21 Aug →
inferno13–7-0.028%21 Aug →
nuke13–80.0424%18 Aug →
anubis13–20.0521%18 Aug →
ancient14–16-0.0210%18 Aug →
ancient13–40.0110%18 Aug →
ancient11–13-0.0417%13 Aug →
mirage10–13-0.0213%11 Aug →
inferno4–130.0126%11 Aug →
ancient3–13-0.0120%11 Aug →
inferno13–100.0221%10 Aug →
ancient4–130.0418%10 Aug →
inferno7–130.0716%9 Aug →
nuke16–13-0.0130%9 Aug →
mirage13–5-0.0217%5 Aug →
vertigo9–13-0.0019%5 Aug →
inferno10–13-0.0110%4 Aug →
ancient6–130.0020%4 Aug →
anubis13–90.0417%30 Jul →
nuke13–80.0021%30 Jul →
mirage13–70.0015%28 Jul →
ancient6–13-0.0415%28 Jul →
nuke13–16-0.0223%28 Jul →
inferno9–130.0525%27 Jul →
inferno13–7-0.0220%27 Jul →
mirage10–13-0.0219%26 Jul →
ancient13–70.0918%26 Jul →
ancient13–60.0217%26 Jul →
cache3–00.02100%22 Jul →
ancient13–70.0314%20 Jul →
inferno13–6-0.0220%16 Jul →
inferno8–13-0.0026%16 Jul →
ancient10–130.0111%16 Jul →
ancient8–130.0318%13 Jul →
cache11–130.0518%8 Jul →
dust24–13-0.0225%8 Jul →
dust211–13-0.0324%4 Jul →
nuke10–13-0.005%29 Jun →
mirage4–13-0.0511%23 Jun →
ancient8–13-0.0220%23 Jun →
italy13–40.0428%16 Jun →
warden13–40.0960%16 Jun →
ancient13–00.0220%14 Jun →
cache13–10.0313%14 Jun →
cache8–130.0122%14 Jun →
ancient13–30.0724%13 Jun →
ancient11–13-0.0431%13 Jun →
inferno12–20.0616%13 Jun →
inferno13–110.0122%9 Jun →
inferno8–130.0521%9 Jun →
nuke13–110.0118%9 Jun →
anubis13–160.0513%9 Jun →
anubis10–13-0.049%9 Jun →
inferno16–130.0423%8 Jun →
ancient13–110.058%8 Jun →
mirage13–30.0755%7 Jun →
dust27–13-0.0318%6 Jun →
nuke11–13-0.0124%2 Jun →
inferno6–13-0.0132%2 Jun →
nuke7–13-0.0930%2 Jun →
anubis10–130.0213%1 Jun →
dust213–7-0.0229%1 Jun →
ancient13–10-0.0134%27 May →
mirage16–140.0417%27 May →
ancient16–140.0219%25 May →
anubis6–13-0.0523%22 May →
anubis9–13-0.0719%7 May →
cache10–13-0.0525%30 Apr →
cache13–5-0.0423%30 Apr →
cache13–70.0116%30 Apr →
anubis13–90.068%23 Apr →
anubis8–130.0125%23 Apr →
ancient7–13-0.0218%23 Apr →
anubis17–190.0416%19 Apr →
ancient6–13-0.0713%18 Apr →
ancient13–50.0221%12 Apr →
nuke13–70.0711%12 Apr →
ancient8–130.0124%9 Apr →
mirage11–130.1131%9 Apr →
inferno1–8-0.0433%9 Apr →
nuke13–70.0712%9 Apr →
nuke7–13-0.0413%6 Apr →
mirage13–50.0412%6 Apr →

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.