im out of milk

im out of milk — CS2 Stats

US76561197965388798[U:1:5123070]Steam profile ↗✓ No bans

1,190Tracked matches43%Win rate2020Tracked since
4,782Hours in CS0Hrs last 2 wks
CSDB Rating7.0 StrongOpening Duellist
Premier CS Rating19,899Top 50% of 205,416 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#84334 of 252584 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (16 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: 19,899 +6,752 15 Jun – 1 Oct · 29 days played
13,14720,007peak 20,00715 Jun1 Oct
20,119Peak Premier in tracked matches
34Days played since 2026-06-15

Premier CS Rating

  • 108 below peak (20,007)
  • +2,104 over 30 days · improving
  • +6,321 over 90 days
  • Next: Pink band at 20,000 — 101 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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 2 among CSDB-tracked players (n=6,013), 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 2 medianLevel 3 medianvs Level 3
Headshot rate47.0%41.3%41.8%above
Shot accuracy11.8%12.7%12.2%0.4% short
Kill/death ratio1.120.950.98above
Match win rate41.7%42.6%43.3%1.6% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGim out of milkFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER19,899 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning79
Utility31

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLTTLLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · −126ms 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

  • 0–3–2 · 0% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 525ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 512ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 575ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.7 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.4
Utility3.1
Positioning7.9
Opening Duels8.2
Clutch2.6

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

s1mple

Plays most like s1mple 73% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 12.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 569ms 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
Positioning7.9
Utility3.1
Mechanics8.0
Opening Duels9.4
Win Impact2.6

Composite 7.0/10 (Strong), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time586ms−37ms
first ⅓ avg 623ms → last ⅓ avg 586ms
Headshot accuracy23.6%+0.7%
first ⅓ avg 22.9% → last ⅓ avg 23.6%

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

0.22Best match rating · 13–2 · dust2, 3 Aug →
40%Best headshot accuracy · 3–2 · cache, 2 Sept →
453msFastest reaction time · 2–13 · dust2, 1 Oct →
13–2Biggest win · anubis, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 57% over 30cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A3017–1357%0.05
nukeC2310–1343%0.06
ancientC188–1044%0.03
anubisA116–555%0.06
mirageA74–357%0.03
cacheD62–433%0.03
inferno—41–325%0.07
overpass—10–10%0.00

Across the last 100 tracked matches.

Lifetime stats

68,225Lifetime kills
1.12K/D · Top 25% of Level 2 players
3,095Matches
41.7%Match win rate
47.0%Headshot % · Top 25% of Level 2 players
11.8%Shot accuracy
7,576MVPs
1,385Hours (in match)
3,473Bombs planted
784Bombs defused

Most-used weapons

AK-4720,846
AWP12,702
MP92,929
MAC-102,720
Knife1,907
SSG 081,083

Lifetime map wins

10,618dust2
4,019inferno
2,408nuke
1,849train
805vertigo
143cbble
84office
9italy

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

Faceit stats

Combat

1,015Matches
48%Win rate
1.02Avg K/D
72.3ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3551%1.0014.5
Dust22662%1.0613.0
Inferno1638%0.8912.8
Ancient944%1.0214.6
Anubis944%1.0515.8
Nuke757%0.9814.6
Vertigo50%0.8512.4
Train333%2.278.7

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.

22.3%Headshot accuracy
39.5%Accuracy (enemy spotted)
43.3%Spray accuracy
86.2%Counter-strafing
12.0°Preaim
569msReaction time
67.5%T opening success
67.8%CT opening success
0.45Enemies flashed / flash
4.8%Flash assists
6.89HE damage / grenade
2.67Flashes / 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. 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 0.4522 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0639%1 Oct →
mirage15–150.1020%30 Sept →
inferno15–150.0421%30 Sept →
ancient7–130.0820%26 Sept →
dust211–130.0015%25 Sept →
anubis13–110.1113%25 Sept →
nuke13–60.0418%25 Sept →
nuke9–13-0.0024%21 Sept →
anubis13–20.1222%20 Sept →
nuke11–130.0721%19 Sept →
dust213–40.1135%19 Sept →
mirage13–90.0222%19 Sept →
anubis13–80.1026%19 Sept →
nuke7–130.0224%17 Sept →
ancient11–130.0524%17 Sept →
dust23–130.0527%16 Sept →
dust213–80.1022%16 Sept →
nuke4–130.0931%13 Sept →
mirage13–80.0117%10 Sept →
ancient11–130.0425%10 Sept →
anubis13–60.0411%10 Sept →
nuke11–130.0726%10 Sept →
ancient13–90.0129%6 Sept →
anubis3–13-0.0317%6 Sept →
ancient6–13-0.0516%6 Sept →
ancient7–13-0.1133%4 Sept →
nuke14–160.0922%3 Sept →
dust213–50.0123%3 Sept →
mirage3–13-0.0621%3 Sept →
dust213–100.1424%2 Sept →
cache9–130.0033%2 Sept →
ancient13–60.0816%2 Sept →
cache3–2-0.0540%2 Sept →
dust213–90.0623%2 Sept →
mirage13–30.0128%1 Sept →
dust213–160.0523%1 Sept →
ancient13–80.0623%31 Aug →
nuke13–100.1123%31 Aug →
dust213–4-0.0226%31 Aug →
ancient0–13-0.000%31 Aug →
dust213–60.0836%31 Aug →
ancient10–130.0821%31 Aug →
nuke6–130.0722%31 Aug →
ancient13–30.1030%31 Aug →
anubis13–90.0915%31 Aug →
ancient16–120.1021%31 Aug →
anubis2–130.0530%31 Aug →
dust213–30.1329%31 Aug →
dust213–7-0.0127%28 Aug →
dust213–3-0.0525%27 Aug →
dust213–40.0817%27 Aug →
nuke8–130.0116%24 Aug →
cache13–40.1018%24 Aug →
dust211–13-0.0332%20 Aug →
nuke13–100.0823%20 Aug →
dust210–13-0.0311%17 Aug →
dust211–130.0623%17 Aug →
dust211–130.0124%5 Aug →
nuke8–130.0215%3 Aug →
dust213–20.2232%3 Aug →
nuke13–100.0223%3 Aug →
anubis9–130.0730%3 Aug →
inferno3–130.0424%3 Aug →
dust211–130.1525%3 Aug →
ancient13–110.0928%23 Jul →
nuke11–130.1224%23 Jul →
cache9–130.0818%22 Jul →
anubis13–7-0.019%22 Jul →
ancient13–50.0939%22 Jul →
nuke13–40.1421%22 Jul →
nuke5–13-0.0129%22 Jul →
ancient16–140.0020%20 Jul →
cache8–130.0623%20 Jul →
nuke15–150.0824%20 Jul →
dust24–13-0.0431%19 Jul →
cache6–130.0117%19 Jul →
inferno8–130.2229%19 Jul →
anubis1–13-0.0124%19 Jul →
dust213–8-0.0233%19 Jul →
mirage2–120.0918%19 Jul →
dust213–110.1619%19 Jul →
anubis8–130.1417%18 Jul →
dust23–130.1340%17 Jul →
ancient2–13-0.0425%16 Jul →
dust29–13-0.0122%16 Jul →
nuke13–100.0624%16 Jul →
dust213–40.1222%16 Jul →
dust213–30.0321%16 Jul →
dust210–130.0821%2 Jul →
ancient2–130.0019%2 Jul →
nuke13–50.1026%2 Jul →
nuke3–13-0.0519%22 Jun →
mirage13–70.0521%22 Jun →
dust213–50.0722%22 Jun →
nuke13–100.0314%22 Jun →
nuke9–70.1026%15 Jun →
nuke9–20.2120%15 Jun →
ancient3–13-0.0321%15 Jun →
inferno13–7-0.0126%15 Jun →
overpass5–130.0017%15 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 →

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