MILK ME — CS2 Stats
76561199186832734[U:1:1226567006]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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.
| Metric | This player | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 44.4% | 42.7% | 44.0% | meets |
| Shot accuracy | 9.4% | 10.8% | 11.6% | 2.2% short |
| Kill/death ratio | 0.94 | 1.00 | 1.03 | 0.09 short |
| Match win rate | 40.4% | 44.1% | 45.1% | 4.7% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like ropz 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: higher opening-fight frequency; 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
Preaim. Mechanical aim is strong but the crosshair sits 11.0° 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. 611ms 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
Composite 6.6/10 (Solid), 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
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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | A | 33 | 18–15 | 55% | 0.04 |
 vertigo | S | 24 | 17–7 | 71% | 0.03 |
 dust2 | B | 19 | 9–10 | 47% | 0.03 |
 cache | A | 14 | 8–6 | 57% | -0.00 |
 anubis | — | 3 | 1–2 | 33% | -0.01 |
 train | — | 3 | 2–1 | 67% | 0.06 |
 nuke | — | 2 | 1–1 | 50% | -0.05 |
 ancient | — | 1 | 0–1 | 0% | 0.05 |
 overpass | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Train | 1 | 100% | 1.46 | 19.0 |
| Ancient | 1 | 100% | 1.40 | 42.0 |
| Anubis | 1 | 0% | 1.06 | 17.0 |
| Mirage | 1 | 0% | 0.53 | 9.0 |
| Dust2 | 1 | 0% | 0.38 | 6.0 |
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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4114 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 11–13 | -0.00 | 24% | 28 Aug → | |
| anubis | 9–13 | -0.01 | 23% | 21 Aug → | |
| train | 13–5 | 0.08 | 23% | 20 Aug → | |
| inferno | 6–13 | -0.00 | 25% | 20 Aug → | |
| vertigo | 5–13 | 0.00 | 28% | 19 Aug → | |
| nuke | 3–13 | -0.08 | 29% | 19 Aug → | |
| inferno | 13–10 | 0.01 | 13% | 18 Aug → | |
| vertigo | 13–8 | 0.07 | 37% | 18 Aug → | |
| vertigo | 8–13 | -0.04 | 24% | 17 Aug → | |
| inferno | 13–2 | 0.09 | 25% | 17 Aug → | |
| vertigo | 9–13 | 0.01 | 19% | 6 Aug → | |
| dust2 | 9–13 | 0.05 | 26% | 4 Aug → | |
| vertigo | 13–5 | 0.13 | 25% | 3 Aug → | |
| vertigo | 13–1 | 0.00 | 16% | 2 Aug → | |
| inferno | 13–9 | 0.15 | 17% | 2 Aug → | |
| dust2 | 12–12 | 0.01 | 36% | 2 Aug → | |
| dust2 | 13–8 | 0.01 | 20% | 2 Aug → | |
| anubis | 9–13 | -0.03 | 21% | 2 Aug → | |
| inferno | 9–13 | 0.04 | 24% | 31 Jul → | |
| vertigo | 4–13 | -0.06 | 21% | 30 Jul → | |
| dust2 | 9–13 | -0.02 | 19% | 30 Jul → | |
| inferno | 13–6 | 0.00 | 29% | 30 Jul → | |
| vertigo | 13–8 | -0.02 | 31% | 28 Jul → | |
| inferno | 12–12 | -0.01 | 18% | 28 Jul → | |
| inferno | 13–11 | 0.10 | 26% | 20 Jul → | |
| inferno | 13–10 | 0.05 | 12% | 19 Jul → | |
| inferno | 13–2 | 0.19 | 21% | 18 Jul → | |
| inferno | 5–13 | -0.02 | 29% | 17 Jul → | |
| vertigo | 13–1 | -0.01 | 14% | 17 Jul → | |
| inferno | 13–6 | 0.07 | 22% | 16 Jul → | |
| cache | 13–7 | 0.02 | 16% | 13 Jul → | |
| dust2 | 13–7 | 0.09 | 29% | 13 Jul → | |
| inferno | 13–7 | 0.00 | 22% | 10 Jul → | |
| inferno | 2–8 | -0.04 | 16% | 10 Jul → | |
| inferno | 10–13 | 0.04 | 14% | 8 Jul → | |
| vertigo | 13–9 | 0.02 | 23% | 7 Jul → | |
| inferno | 13–10 | 0.02 | 25% | 2 Jul → | |
| vertigo | 13–0 | 0.14 | 22% | 1 Jul → | |
| dust2 | 13–10 | 0.03 | 29% | 1 Jul → | |
| vertigo | 13–5 | -0.03 | 15% | 28 Jun → | |
| dust2 | 13–9 | -0.02 | 23% | 27 Jun → | |
| nuke | 13–8 | -0.02 | 28% | 27 Jun → | |
| inferno | 11–13 | 0.01 | 25% | 27 Jun → | |
| dust2 | 13–3 | 0.09 | 35% | 27 Jun → | |
| inferno | 11–13 | 0.05 | 26% | 26 Jun → | |
| vertigo | 13–7 | 0.02 | 16% | 26 Jun → | |
| inferno | 12–12 | 0.02 | 17% | 25 Jun → | |
| train | 9–13 | 0.03 | 21% | 25 Jun → | |
| inferno | 13–11 | 0.09 | 19% | 24 Jun → | |
| vertigo | 13–5 | 0.05 | 28% | 23 Jun → | |
| vertigo | 13–11 | 0.04 | 26% | 21 Jun → | |
| inferno | 13–4 | 0.08 | 22% | 21 Jun → | |
| dust2 | 0–9 | -0.04 | 23% | 21 Jun → | |
| inferno | 13–1 | 0.01 | 11% | 20 Jun → | |
| train | 13–11 | 0.08 | 13% | 20 Jun → | |
| inferno | 5–13 | -0.08 | 14% | 18 Jun → | |
| ancient | 12–12 | 0.05 | 11% | 17 Jun → | |
| dust2 | 12–12 | 0.02 | 18% | 16 Jun → | |
| cache | 11–13 | 0.03 | 24% | 13 Jun → | |
| vertigo | 13–6 | 0.09 | 19% | 13 Jun → | |
| dust2 | 13–8 | 0.01 | 16% | 13 Jun → | |
| inferno | 12–12 | 0.07 | 18% | 13 Jun → | |
| vertigo | 13–2 | 0.13 | 11% | 10 Jun → | |
| inferno | 12–12 | 0.10 | 13% | 10 Jun → | |
| vertigo | 9–13 | 0.04 | 18% | 9 Jun → | |
| inferno | 10–13 | 0.05 | 13% | 9 Jun → | |
| dust2 | 13–5 | 0.01 | 24% | 8 Jun → | |
| vertigo | 13–11 | 0.02 | 17% | 5 Jun → | |
| dust2 | 13–4 | 0.09 | 12% | 5 Jun → | |
| vertigo | 13–10 | 0.01 | 27% | 4 Jun → | |
| inferno | 13–4 | 0.01 | 23% | 4 Jun → | |
| inferno | 13–9 | 0.02 | 25% | 4 Jun → | |
| inferno | 5–13 | 0.03 | 14% | 26 May → | |
| inferno | 13–4 | 0.01 | 24% | 26 May → | |
| cache | 4–13 | -0.02 | 18% | 25 May → | |
| vertigo | 13–8 | -0.02 | 18% | 23 May → | |
| dust2 | 13–3 | 0.07 | 9% | 23 May → | |
| inferno | 13–6 | 0.04 | 20% | 23 May → | |
| overpass | 13–3 | 0.07 | 18% | 21 May → | |
| anubis | 13–6 | -0.00 | 13% | 13 May → | |
| dust2 | 5–13 | -0.00 | 13% | 11 May → | |
| vertigo | 7–2 | 0.03 | 10% | 11 May → | |
| cache | 13–2 | 0.11 | 14% | 11 May → | |
| vertigo | 4–13 | 0.04 | 23% | 9 May → | |
| dust2 | 9–13 | 0.05 | 20% | 9 May → | |
| cache | 6–13 | -0.02 | 17% | 9 May → | |
| dust2 | 8–13 | 0.06 | 14% | 8 May → | |
| cache | 12–12 | -0.02 | 10% | 7 May → | |
| dust2 | 6–2 | -0.01 | 23% | 7 May → | |
| inferno | 13–11 | 0.03 | 15% | 4 May → | |
| cache | 13–8 | 0.02 | 18% | 3 May → | |
| vertigo | 9–13 | 0.06 | 19% | 2 May → | |
| inferno | 9–13 | 0.01 | 14% | 2 May → | |
| cache | 13–11 | 0.06 | 9% | 2 May → | |
| cache | 13–9 | -0.04 | 7% | 1 May → | |
| cache | 10–13 | -0.00 | 18% | 1 May → | |
| cache | 10–13 | 0.01 | 11% | 30 Apr → | |
| cache | 13–6 | -0.03 | 13% | 30 Apr → | |
| cache | 13–0 | -0.11 | 6% | 30 Apr → | |
| cache | 13–9 | -0.06 | 22% | 29 Apr → |
Match data via Leetify.
