m0NESY — CS2 Stats
76561198342749745[U:1:382484017]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingEffective 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 s1mple 90% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 85 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 621ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 33 | 18–15 | 55% | -0.00 | |
| D | 21 | 7–14 | 33% | -0.01 | |
| A | 20 | 12–8 | 60% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| D | 7 | 2–5 | 29% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| — | 1 | 1–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 386 | 49% | 1.10 | 15.7 |
| Dust2 | 210 | 49% | 1.14 | 15.8 |
| Ancient | 169 | 50% | 1.09 | 16.1 |
| Inferno | 156 | 47% | 1.03 | 15.4 |
| Vertigo | 67 | 61% | 1.15 | 16.7 |
| Anubis | 58 | 50% | 0.99 | 15.5 |
| Nuke | 32 | 47% | 1.13 | 16.6 |
| Train | 7 | 71% | 1.24 | 17.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.05 | 27% | 22 Jan → | ||
| 7–13 | -0.06 | 31% | 22 Dec → | ||
| 13–9 | 0.06 | 32% | 21 Dec → | ||
| 13–10 | 0.05 | 21% | 19 Dec → | ||
| 13–11 | -0.01 | 35% | 19 Dec → | ||
| 4–13 | -0.01 | 26% | 18 Dec → | ||
| 13–7 | 0.15 | 31% | 16 Dec → | ||
| 13–7 | 0.09 | 36% | 15 Dec → | ||
| 13–8 | -0.01 | 24% | 14 Dec → | ||
| 13–5 | 0.06 | 32% | 12 Dec → | ||
| 10–13 | 0.02 | 19% | 12 Dec → | ||
| 13–8 | 0.01 | 27% | 12 Dec → | ||
| 2–13 | -0.04 | 41% | 11 Dec → | ||
| 9–13 | -0.01 | 21% | 8 Dec → | ||
| 10–3 | -0.03 | 18% | 8 Dec → | ||
| 13–5 | 0.11 | 38% | 23 Nov → | ||
| 11–13 | -0.04 | 23% | 20 Oct → | ||
| 11–13 | 0.05 | 19% | 19 Oct → | ||
| 10–13 | -0.05 | 38% | 19 Oct → | ||
| 13–2 | 0.01 | 11% | 19 Oct → | ||
| 13–4 | 0.14 | 17% | 19 Oct → | ||
| 3–13 | -0.03 | 32% | 18 Oct → | ||
| 13–4 | 0.02 | 8% | 18 Oct → | ||
| 13–5 | 0.04 | 21% | 16 Oct → | ||
| 12–12 | 0.04 | 25% | 16 Oct → | ||
| 10–13 | 0.04 | 27% | 14 Oct → | ||
| 13–6 | 0.07 | 30% | 14 Oct → | ||
| 13–11 | 0.09 | 28% | 14 Oct → | ||
| 16–19 | 0.01 | 31% | 13 Oct → | ||
| 13–3 | 0.10 | 18% | 13 Oct → | ||
| 13–9 | 0.01 | 27% | 11 Oct → | ||
| 13–9 | 0.02 | 19% | 11 Oct → | ||
| 10–13 | -0.01 | 24% | 11 Oct → | ||
| 8–13 | -0.05 | 26% | 9 Oct → | ||
| 19–16 | -0.03 | 23% | 9 Oct → | ||
| 14–16 | -0.02 | 13% | 8 Oct → | ||
| 9–13 | 0.01 | 25% | 8 Oct → | ||
| 8–12 | -0.12 | 3% | 8 Oct → | ||
| 13–4 | 0.06 | 15% | 7 Oct → | ||
| 8–13 | -0.04 | 16% | 7 Oct → | ||
| 13–11 | -0.04 | 19% | 7 Oct → | ||
| 7–13 | 0.01 | 26% | 7 Oct → | ||
| 8–13 | 0.02 | 6% | 5 Oct → | ||
| 11–13 | 0.05 | 23% | 5 Oct → | ||
| 11–13 | -0.02 | 28% | 5 Oct → | ||
| 5–13 | -0.05 | 17% | 4 Oct → | ||
| 7–13 | -0.05 | 11% | 4 Oct → | ||
| 13–3 | -0.01 | 22% | 4 Oct → | ||
| 2–13 | -0.08 | 32% | 4 Oct → | ||
| 11–13 | -0.00 | 19% | 3 Oct → | ||
| 6–12 | -0.03 | 10% | 3 Oct → | ||
| 13–10 | -0.02 | 11% | 3 Oct → | ||
| 13–8 | 0.03 | 13% | 3 Oct → | ||
| 8–13 | 0.01 | 22% | 3 Oct → | ||
| 16–12 | 0.01 | 18% | 2 Oct → | ||
| 13–4 | 0.03 | 17% | 2 Oct → | ||
| 9–13 | -0.04 | 22% | 2 Oct → | ||
| 13–10 | -0.02 | 16% | 29 Sept → | ||
| 7–13 | -0.03 | 14% | 29 Sept → | ||
| 13–9 | -0.01 | 29% | 29 Sept → | ||
| 13–5 | 0.04 | 14% | 27 Sept → | ||
| 13–11 | -0.00 | 24% | 27 Sept → | ||
| 13–6 | -0.02 | 22% | 27 Sept → | ||
| 13–9 | 0.04 | 28% | 25 Sept → | ||
| 13–11 | 0.03 | 10% | 21 Sept → | ||
| 1–13 | -0.07 | 26% | 20 Sept → | ||
| 5–13 | -0.05 | 34% | 19 Sept → | ||
| 8–13 | 0.00 | 17% | 19 Sept → | ||
| 13–5 | -0.02 | 15% | 17 Sept → | ||
| 3–13 | -0.03 | 19% | 17 Sept → | ||
| 7–13 | -0.02 | 17% | 15 Sept → | ||
| 13–7 | 0.03 | 22% | 15 Sept → | ||
| 17–19 | 0.01 | 28% | 13 Sept → | ||
| 13–5 | -0.01 | 26% | 13 Sept → | ||
| 13–9 | -0.02 | 21% | 13 Sept → | ||
| 4–13 | -0.04 | 29% | 11 Sept → | ||
| 6–13 | -0.03 | 10% | 11 Sept → | ||
| 8–13 | 0.02 | 8% | 11 Sept → | ||
| 9–13 | 0.04 | 19% | 11 Sept → | ||
| 13–8 | 0.05 | 17% | 10 Sept → | ||
| 16–19 | -0.01 | 9% | 10 Sept → | ||
| 9–13 | -0.07 | 22% | 9 Sept → | ||
| 13–7 | 0.00 | 19% | 9 Sept → | ||
| 16–12 | 0.03 | 13% | 9 Sept → | ||
| 13–7 | 0.04 | 24% | 7 Sept → | ||
| 16–14 | 0.01 | 24% | 7 Sept → | ||
| 5–13 | -0.04 | 23% | 7 Sept → | ||
| 13–10 | 0.02 | 19% | 7 Sept → | ||
| 13–9 | -0.05 | 25% | 7 Sept → | ||
| 3–13 | 0.02 | 37% | 7 Sept → | ||
| 10–13 | 0.00 | 16% | 5 Sept → | ||
| 3–13 | -0.07 | 26% | 4 Sept → | ||
| 10–13 | -0.03 | 10% | 4 Sept → | ||
| 4–13 | -0.01 | 13% | 1 Sept → | ||
| 13–10 | -0.03 | 23% | 31 Aug → | ||
| 7–13 | -0.00 | 9% | 31 Aug → | ||
| 7–13 | -0.03 | 19% | 31 Aug → | ||
| 13–7 | -0.02 | 16% | 30 Aug → | ||
| 11–13 | 0.03 | 24% | 30 Aug → | ||
| 13–9 | -0.00 | 24% | 30 Aug → |
Match data via Leetify.