milchaaa

milchaaa — CS2 Stats

JP76561198048842077[U:1:88576349]Steam profile ↗✓ No bans

233Tracked matches50%Win rate2020Tracked since
2,573Hours in CS1Hrs last 2 wks
CSDB Rating2.4 LearningSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 233
0.0ppWin rate · 50.0% → 50.0%

Rating over time

14,999Peak Premier in tracked matches
51Days played since 2024-11-15

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate38.5%44.8%45.7%7.2% short
Shot accuracy16.1%12.4%12.7%above
Kill/death ratio0.761.031.050.30 short
Match win rate48.5%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmilchaaaFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim18
Positioning27
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLLLLWWWWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · +2ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 18%
  • Avg reaction 653ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 19%
  • Avg reaction 653ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 17%
  • Avg reaction 652ms

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).

Aim1.8
Utility2.8
Positioning2.7
Opening Duels0.0

Limited utility dependence

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 69% 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

Reaction time. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.8
Positioning2.7
Utility2.8
Mechanics2.7
Opening Duels0.0
Win Impact5.0

Composite 2.4/10 (Learning), 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 rating-0.05+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time686ms−17ms
first ⅓ avg 704ms → last ⅓ avg 686ms
Headshot accuracy18.7%+2.5%
first ⅓ avg 16.2% → last ⅓ avg 18.7%

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

0.05Best match rating · 2–13 · dust2, 9 Apr →
54%Best headshot accuracy · 6–13 · train, 9 Sept →
453msFastest reaction time · 13–2 · nuke, 28 Apr →
13–1Biggest win · dust2, 3 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
6–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 83% over 6trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.06
mirageC2610–1638%-0.05
ancientB105–550%-0.05
anubisA95–456%-0.05
infernoD72–529%-0.03
nukeS65–183%-0.03
trainD51–420%-0.06
overpass—42–250%-0.04
cache—22–0100%-0.07
office—20–20%-0.11
palacio—11–0100%0.04

Across the last 100 tracked matches.

Lifetime stats

46,803Lifetime kills
0.76K/D
5,048Matches
48.5%Match win rate · Top 25% of Level 6 players
38.5%Headshot %
16.1%Shot accuracy · Top 25% of Level 6 players
4,027MVPs
1,529Hours (in match)
3,398Bombs planted
428Bombs defused

Most-used weapons

AK-4711,790
AWP4,417
P901,983
Knife1,334
AUG1,248
XM10141,159

Lifetime map wins

6,917dust2
3,966inferno
1,117vertigo
961nuke
823train
517cbble
208office
91lake

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

Faceit stats

Combat

189Matches
59%Win rate
0.63Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

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.

18.1%Headshot accuracy
25.9%Accuracy (enemy spotted)
27.2%Spray accuracy
62.2%Counter-strafing
13.4°Preaim
679msReaction time
28.0%T opening success
19.3%CT opening success
0.35Enemies flashed / flash
3.6%Flash assists
8.32HE damage / grenade
4.16Flashes / 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 13.4245° — above the 12° 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 0.3533 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.1118%25 Oct →
mirage5–13-0.0816%20 Oct →
mirage2–13-0.160%18 Oct →
mirage6–13-0.0920%18 Oct →
ancient13–40.0233%29 Aug →
dust213–9-0.0522%29 Aug →
dust213–11-0.0919%25 Jul →
anubis13–2-0.1422%25 Jul →
mirage9–13-0.0530%25 Jul →
anubis13–5-0.087%25 Jul →
cache13–6-0.0620%25 Jul →
office3–13-0.1313%14 Jul →
dust213–11-0.0513%11 Jul →
mirage7–13-0.0232%11 Jul →
inferno13–9-0.015%12 Jun →
cache13–11-0.0710%8 Jun →
mirage13–10-0.0825%7 Jun →
mirage13–10-0.0224%24 May →
dust28–13-0.106%24 May →
inferno8–13-0.059%17 Apr →
dust22–130.0522%9 Apr →
mirage3–130.0224%9 Apr →
dust211–13-0.1021%2 Apr →
anubis1–6-0.0038%2 Apr →
nuke6–13-0.0416%25 Mar →
overpass13–4-0.0120%16 Mar →
dust213–8-0.0413%3 Jan →
dust213–1-0.0420%3 Jan →
mirage13–60.0320%30 Dec →
dust24–13-0.0621%30 Dec →
overpass11–13-0.0527%30 Dec →
dust27–13-0.0221%30 Dec →
dust28–13-0.0910%23 Nov →
overpass9–13-0.049%19 Nov →
mirage13–9-0.0311%18 Nov →
nuke13–10-0.0217%18 Nov →
dust25–13-0.0622%18 Nov →
inferno4–130.0133%18 Nov →
mirage13–9-0.048%6 Nov →
anubis13–20.0319%22 Oct →
palacio13–40.0415%12 Oct →
train13–6-0.0513%6 Oct →
dust213–10-0.0714%6 Oct →
dust29–13-0.106%6 Oct →
ancient12–12-0.0913%6 Oct →
office5–13-0.095%2 Oct →
ancient5–13-0.1013%2 Oct →
overpass13–8-0.0519%25 Sept →
mirage12–12-0.0817%17 Sept →
dust26–13-0.0713%17 Sept →
dust213–10-0.0420%17 Sept →
mirage13–8-0.0723%9 Sept →
train6–13-0.0054%9 Sept →
ancient13–5-0.0713%9 Sept →
nuke13–8-0.0114%9 Sept →
dust212–12-0.0817%8 Sept →
dust212–12-0.0313%28 Aug →
dust212–10-0.0113%28 Aug →
mirage11–13-0.0517%30 Jul →
dust213–3-0.0235%24 Jul →
ancient10–13-0.0320%24 Jul →
dust213–3-0.0514%10 Jul →
dust213–30.0128%30 Jun →
mirage8–13-0.0811%30 Jun →
mirage13–60.0226%18 Jun →
train9–13-0.0813%18 Jun →
inferno11–13-0.068%18 Jun →
ancient13–7-0.0218%18 Jun →
inferno13–30.0016%11 Jun →
mirage2–13-0.0518%11 Jun →
dust28–13-0.0610%11 Jun →
mirage3–13-0.0610%26 May →
mirage6–13-0.0615%26 May →
train6–13-0.106%24 May →
anubis13–20.0417%24 May →
ancient13–7-0.0412%22 May →
inferno5–13-0.0620%22 May →
anubis2–2-0.060%22 May →
mirage13–10-0.0319%22 May →
anubis1–13-0.100%22 May →
mirage7–13-0.0612%21 May →
ancient10–13-0.0516%21 May →
anubis5–13-0.1014%21 May →
mirage5–13-0.1029%21 May →
mirage12–0-0.020%21 May →
mirage8–13-0.0517%20 May →
ancient12–12-0.0724%28 Apr →
nuke13–2-0.0234%28 Apr →
anubis9–13-0.0420%11 Apr →
dust26–13-0.0932%5 Apr →
nuke13–10-0.0712%1 Feb →
mirage12–12-0.1318%30 Jan →
dust28–13-0.0618%30 Jan →
dust27–13-0.0715%19 Dec →
inferno5–13-0.0516%19 Dec →
ancient13–11-0.1017%19 Dec →
mirage13–60.0223%19 Dec →
dust213–5-0.0622%15 Dec →
nuke13–6-0.0121%11 Dec →
train12–12-0.0916%15 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 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.