M0mmy M1lkers — CS2 Stats
AF76561198251902416[U:1:291636688]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 50.1% | 42.1% | 42.5% | above |
| Shot accuracy | 5.9% | 12.1% | 10.9% | 5.0% short |
| Kill/death ratio | 0.88 | 0.99 | 0.99 | 0.12 short |
| Match win rate | 44.2% | 43.9% | 44.2% | meets |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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 · +0.03 avg rating
Player DNA
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 Twistzz 82% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 661ms 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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 dust2 | C | 20 | 8–12 | 40% | -0.02 |
 mirage | C | 16 | 6–10 | 38% | -0.03 |
 cache | C | 14 | 5–9 | 36% | -0.03 |
 inferno | D | 13 | 3–10 | 23% | -0.04 |
 ancient | D | 10 | 2–8 | 20% | -0.01 |
 vertigo | C | 7 | 3–4 | 43% | -0.03 |
 nuke | D | 6 | 1–5 | 17% | -0.05 |
 anubis | D | 5 | 1–4 | 20% | -0.08 |
 train | — | 3 | 1–2 | 33% | -0.08 |
 overpass | — | 1 | 1–0 | 100% | 0.02 |
| office | — | 1 | 0–1 | 0% | 0.08 |
| alpine | — | 1 | 0–1 | 0% | -0.03 |
| warden | — | 1 | 1–0 | 100% | 0.14 |
| poseidon | — | 1 | 1–0 | 100% | -0.10 |
| rooftop | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 50% | 0.64 | 8.7 |
| Ancient | 14 | 43% | 0.61 | 8.9 |
| Nuke | 14 | 36% | 0.59 | 8.9 |
| Vertigo | 9 | 44% | 0.67 | 9.7 |
| Inferno | 3 | 33% | 0.68 | 10.0 |
| Overpass | 3 | 33% | 0.60 | 10.0 |
| Anubis | 2 | 50% | 0.88 | 15.5 |
| Dust2 | 2 | 50% | 0.84 | 10.5 |
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.
- 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 28.9645% — below the 40% mark we flag
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 6–13 | 0.01 | 28% | 11 Jul → | |
| nuke | 13–6 | 0.07 | 30% | 11 Jul → | |
| mirage | 8–0 | -0.01 | 19% | 10 Jul → | |
| dust2 | 13–11 | -0.02 | 21% | 10 Jul → | |
| ancient | 10–13 | -0.05 | 18% | 10 Jul → | |
| ancient | 4–13 | -0.05 | 11% | 9 Jul → | |
| dust2 | 8–13 | -0.01 | 32% | 26 Jun → | |
| anubis | 2–9 | -0.12 | 0% | 18 Jun → | |
| inferno | 7–13 | 0.02 | 32% | 12 Jun → | |
| mirage | 13–7 | -0.08 | 12% | 3 Jun → | |
| vertigo | 13–5 | -0.01 | 27% | 3 Jun → | |
| vertigo | 13–4 | -0.06 | 20% | 3 Jun → | |
| cache | 12–12 | -0.10 | 13% | 2 Jun → | |
| cache | 13–8 | 0.01 | 26% | 2 Jun → | |
| anubis | 2–13 | -0.11 | 14% | 2 Jun → | |
| ancient | 6–13 | -0.04 | 27% | 30 May → | |
| mirage | 5–13 | -0.05 | 19% | 29 May → | |
| inferno | 3–9 | -0.13 | 50% | 22 May → | |
| dust2 | 13–11 | 0.01 | 23% | 22 May → | |
| vertigo | 9–13 | -0.04 | 25% | 22 May → | |
| dust2 | 10–13 | -0.04 | 12% | 22 May → | |
| cache | 2–13 | -0.07 | 20% | 22 May → | |
| cache | 13–5 | -0.00 | 32% | 22 May → | |
| cache | 13–1 | 0.09 | 9% | 22 May → | |
| cache | 7–3 | -0.03 | 20% | 22 May → | |
| cache | 3–13 | -0.08 | 12% | 22 May → | |
| inferno | 9–6 | 0.04 | 15% | 20 May → | |
| inferno | 1–9 | -0.30 | 0% | 20 May → | |
| mirage | 4–13 | -0.04 | 13% | 20 May → | |
| cache | 8–13 | -0.03 | 20% | 20 May → | |
| cache | 11–13 | -0.02 | 16% | 20 May → | |
| ancient | 13–8 | 0.07 | 25% | 19 May → | |
| vertigo | 0–12 | -0.05 | 0% | 17 May → | |
| dust2 | 9–13 | -0.03 | 16% | 17 May → | |
| mirage | 13–5 | -0.08 | 15% | 17 May → | |
| cache | 5–13 | 0.02 | 17% | 16 May → | |
| cache | 10–13 | 0.01 | 30% | 15 May → | |
| inferno | 13–5 | 0.13 | 21% | 15 May → | |
| mirage | 9–13 | -0.05 | 23% | 14 May → | |
| dust2 | 13–10 | 0.03 | 22% | 14 May → | |
| cache | 10–13 | -0.06 | 32% | 14 May → | |
| anubis | 5–13 | -0.12 | 19% | 14 May → | |
| ancient | 6–13 | 0.01 | 24% | 13 May → | |
| mirage | 4–13 | -0.02 | 37% | 12 May → | |
| cache | 0–13 | -0.11 | 24% | 5 May → | |
| cache | 13–6 | -0.04 | 20% | 30 Apr → | |
| dust2 | 14–16 | -0.06 | 17% | 24 Apr → | |
| inferno | 13–4 | 0.06 | 33% | 24 Apr → | |
| dust2 | 3–13 | -0.01 | 25% | 23 Apr → | |
| dust2 | 13–6 | 0.08 | 15% | 23 Apr → | |
| dust2 | 12–12 | -0.04 | 26% | 16 Apr → | |
| mirage | 13–6 | 0.01 | 21% | 16 Apr → | |
| anubis | 13–7 | 0.00 | 20% | 16 Apr → | |
| mirage | 12–12 | -0.03 | 27% | 16 Apr → | |
| dust2 | 3–13 | -0.01 | 14% | 16 Apr → | |
| mirage | 4–13 | -0.03 | 10% | 13 Apr → | |
| vertigo | 13–6 | 0.03 | 24% | 12 Apr → | |
| nuke | 5–13 | -0.02 | 27% | 31 Mar → | |
| mirage | 13–10 | -0.02 | 26% | 17 Mar → | |
| mirage | 7–13 | -0.05 | 19% | 17 Mar → | |
| inferno | 1–9 | -0.16 | 33% | 17 Mar → | |
| ancient | 11–13 | 0.02 | 15% | 14 Mar → | |
| dust2 | 6–13 | 0.00 | 16% | 13 Mar → | |
| nuke | 8–13 | -0.04 | 27% | 13 Mar → | |
| anubis | 14–16 | -0.04 | 14% | 13 Mar → | |
| overpass | 13–0 | 0.02 | 21% | 13 Mar → | |
| dust2 | 13–6 | -0.05 | 26% | 13 Mar → | |
| nuke | 7–13 | -0.10 | 13% | 12 Mar → | |
| ancient | 9–13 | 0.03 | 30% | 1 Mar → | |
| mirage | 8–13 | -0.04 | 17% | 1 Mar → | |
| dust2 | 13–6 | -0.05 | 17% | 1 Mar → | |
| vertigo | 5–13 | -0.04 | 19% | 1 Mar → | |
| mirage | 13–11 | 0.02 | 9% | 1 Mar → | |
| vertigo | 12–12 | -0.01 | 20% | 27 Feb → | |
| dust2 | 13–10 | -0.12 | 12% | 27 Feb → | |
| train | 13–5 | -0.10 | 23% | 27 Feb → | |
| mirage | 7–13 | 0.04 | 26% | 27 Feb → | |
| inferno | 1–9 | -0.09 | 17% | 20 Feb → | |
| office | 11–13 | 0.08 | 29% | 7 Feb → | |
| dust2 | 9–13 | -0.02 | 23% | 6 Feb → | |
| inferno | 6–13 | -0.06 | 15% | 6 Feb → | |
| alpine | 11–13 | -0.03 | 21% | 31 Jan → | |
| warden | 13–4 | 0.14 | 14% | 30 Jan → | |
| mirage | 15–15 | 0.02 | 19% | 25 Jan → | |
| poseidon | 9–6 | -0.10 | 33% | 24 Jan → | |
| rooftop | 9–4 | -0.04 | 7% | 17 Jan → | |
| inferno | 12–12 | 0.01 | 25% | 11 Jan → | |
| ancient | 10–13 | -0.09 | 19% | 10 Jan → | |
| inferno | 9–13 | 0.05 | 21% | 8 Jan → | |
| dust2 | 8–13 | -0.01 | 18% | 8 Jan → | |
| train | 0–13 | -0.08 | 23% | 5 Jan → | |
| nuke | 3–13 | -0.11 | 22% | 5 Jan → | |
| dust2 | 14–16 | -0.03 | 18% | 5 Jan → | |
| train | 1–13 | -0.07 | 0% | 3 Jan → | |
| nuke | 9–13 | -0.08 | 4% | 3 Jan → | |
| dust2 | 6–13 | -0.01 | 12% | 2 Jan → | |
| ancient | 13–7 | -0.04 | 2% | 2 Jan → | |
| inferno | 8–13 | -0.05 | 48% | 2 Jan → | |
| dust2 | 13–3 | 0.07 | 17% | 2 Jan → | |
| inferno | 5–13 | -0.02 | 28% | 31 Dec → |
Match data via Leetify.