M3MoN — CS2 Stats
JP76561198252986148[U:1:292720420]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median |
|---|---|---|
| Headshot rate | 56.6% | 52.0% |
| Shot accuracy | 18.2% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 46.1% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 b1t 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 39 | 23–16 | 59% | 0.01 | |
| A | 23 | 13–10 | 57% | 0.01 | |
| A | 16 | 10–6 | 63% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.03 | |
| — | 4 | 0–4 | 0% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (57% over 23). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 282 | 56% | 1.17 | 17.5 |
| Dust2 | 134 | 40% | 1.06 | 16.3 |
| Ancient | 105 | 53% | 1.13 | 17.5 |
| Nuke | 102 | 61% | 1.22 | 18.1 |
| Vertigo | 52 | 58% | 1.25 | 18.4 |
| Anubis | 19 | 32% | 1.00 | 16.7 |
| Overpass | 11 | 73% | 1.38 | 19.7 |
| Train | 7 | 57% | 0.87 | 12.6 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.03 | 34% | 23 Aug → | ||
| 13–4 | 0.14 | 26% | 21 Aug → | ||
| 10–13 | 0.01 | 30% | 20 Aug → | ||
| 13–3 | 0.04 | 27% | 19 Aug → | ||
| 8–13 | 0.03 | 25% | 14 Aug → | ||
| 8–13 | -0.06 | 33% | 13 Aug → | ||
| 13–10 | 0.03 | 27% | 13 Aug → | ||
| 13–8 | 0.02 | 41% | 11 Aug → | ||
| 13–11 | -0.01 | 20% | 2 Aug → | ||
| 13–16 | -0.01 | 25% | 31 Jul → | ||
| 0–13 | -0.09 | 27% | 31 Jul → | ||
| 4–13 | 0.07 | 32% | 27 Jul → | ||
| 13–1 | 0.06 | 22% | 27 Jul → | ||
| 13–9 | 0.01 | 33% | 22 Jul → | ||
| 7–13 | 0.04 | 20% | 22 Jul → | ||
| 13–16 | -0.03 | 23% | 18 Jul → | ||
| 5–13 | -0.05 | 16% | 18 Jul → | ||
| 13–5 | 0.03 | 24% | 17 Jul → | ||
| 1–13 | -0.04 | 17% | 17 Jul → | ||
| 13–6 | 0.05 | 29% | 15 Jul → | ||
| 13–9 | 0.05 | 31% | 15 Jul → | ||
| 13–8 | 0.03 | 22% | 13 Jul → | ||
| 13–8 | 0.02 | 17% | 12 Jul → | ||
| 16–13 | 0.06 | 31% | 12 Jul → | ||
| 13–8 | 0.09 | 18% | 11 Jul → | ||
| 13–11 | 0.07 | 34% | 11 Jul → | ||
| 8–13 | 0.07 | 22% | 11 Jul → | ||
| 13–3 | 0.06 | 13% | 11 Jul → | ||
| 11–13 | 0.06 | 18% | 10 Jul → | ||
| 13–9 | 0.09 | 36% | 10 Jul → | ||
| 13–5 | -0.00 | 23% | 10 Jul → | ||
| 13–10 | -0.04 | 22% | 21 Jun → | ||
| 15–15 | 0.01 | 26% | 21 Jun → | ||
| 6–13 | -0.02 | 22% | 20 Jun → | ||
| 6–13 | -0.04 | 16% | 8 May → | ||
| 5–13 | -0.03 | 13% | 2 May → | ||
| 13–6 | 0.01 | 24% | 17 Apr → | ||
| 16–13 | 0.00 | 17% | 16 Apr → | ||
| 13–11 | 0.07 | 27% | 10 Apr → | ||
| 5–13 | -0.06 | 21% | 10 Apr → | ||
| 13–9 | -0.01 | 19% | 5 Apr → | ||
| 11–13 | -0.03 | 21% | 30 Mar → | ||
| 0–13 | -0.01 | 25% | 27 Mar → | ||
| 13–10 | 0.05 | 29% | 27 Mar → | ||
| 13–9 | 0.07 | 15% | 27 Mar → | ||
| 6–13 | -0.06 | 13% | 26 Mar → | ||
| 10–13 | 0.00 | 36% | 26 Mar → | ||
| 13–5 | 0.02 | 22% | 21 Mar → | ||
| 11–13 | 0.00 | 17% | 21 Mar → | ||
| 13–4 | 0.07 | 19% | 21 Mar → | ||
| 10–13 | -0.00 | 8% | 20 Mar → | ||
| 9–13 | -0.05 | 14% | 20 Mar → | ||
| 16–14 | -0.01 | 16% | 18 Mar → | ||
| 6–13 | -0.06 | 21% | 18 Mar → | ||
| 7–13 | -0.01 | 26% | 14 Mar → | ||
| 13–11 | 0.01 | 26% | 23 Feb → | ||
| 5–13 | -0.05 | 23% | 23 Feb → | ||
| 13–11 | 0.01 | 15% | 21 Feb → | ||
| 13–11 | -0.00 | 8% | 21 Feb → | ||
| 13–8 | 0.03 | 24% | 20 Feb → | ||
| 13–3 | 0.05 | 37% | 20 Feb → | ||
| 13–3 | 0.05 | 27% | 20 Feb → | ||
| 1–9 | -0.05 | 83% | 14 Feb → | ||
| 7–13 | 0.00 | 16% | 14 Feb → | ||
| 10–13 | -0.02 | 32% | 9 Feb → | ||
| 13–4 | -0.00 | 19% | 9 Feb → | ||
| 2–13 | -0.04 | 21% | 8 Feb → | ||
| 13–2 | 0.02 | 23% | 8 Feb → | ||
| 6–13 | -0.01 | 27% | 7 Feb → | ||
| 2–13 | 0.04 | 36% | 7 Feb → | ||
| 7–13 | -0.04 | 21% | 6 Feb → | ||
| 13–9 | 0.10 | 20% | 6 Feb → | ||
| 13–11 | 0.02 | 25% | 6 Feb → | ||
| 13–3 | 0.04 | 38% | 5 Feb → | ||
| 9–13 | 0.03 | 14% | 5 Feb → | ||
| 13–3 | 0.09 | 25% | 2 Feb → | ||
| 2–11 | -0.05 | 9% | 2 Feb → | ||
| 11–13 | -0.02 | 22% | 1 Feb → | ||
| 13–10 | 0.04 | 22% | 31 Jan → | ||
| 13–9 | 0.07 | 25% | 31 Jan → | ||
| 13–2 | -0.00 | 13% | 31 Jan → | ||
| 13–9 | 0.04 | 13% | 29 Jan → | ||
| 13–4 | 0.12 | 26% | 25 Jan → | ||
| 7–13 | -0.01 | 28% | 23 Jan → | ||
| 13–8 | 0.04 | 18% | 23 Jan → | ||
| 13–9 | 0.04 | 18% | 18 Jan → | ||
| 11–13 | 0.00 | 30% | 18 Jan → | ||
| 13–10 | 0.04 | 27% | 18 Jan → | ||
| 7–13 | -0.03 | 11% | 17 Jan → | ||
| 13–9 | 0.07 | 31% | 17 Jan → | ||
| 13–10 | -0.01 | 18% | 17 Jan → | ||
| 13–9 | 0.09 | 22% | 17 Jan → | ||
| 6–13 | 0.04 | 14% | 17 Jan → | ||
| 6–13 | -0.10 | 11% | 16 Jan → | ||
| 13–6 | 0.02 | 31% | 16 Jan → | ||
| 13–4 | 0.04 | 30% | 16 Jan → | ||
| 3–13 | -0.00 | 13% | 15 Jan → | ||
| 13–7 | -0.01 | 29% | 13 Jan → | ||
| 13–8 | 0.02 | 22% | 12 Jan → | ||
| 13–8 | 0.01 | 18% | 12 Jan → |
Match data via Leetify.