deshm0nster — CS2 Stats
76561198950367286[U:1:990101558]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 42.6% | 52.8% |
| Shot accuracy | 19.0% | 13.7% |
| Kill/death ratio | 0.91 | 1.08 |
| Match win rate | 56.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 sh1ro 98% playstyle similarity
Most alike: opening-fight frequency, 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 97 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 65% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
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 8.0/10 (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 |
|---|---|---|---|---|---|
| S | 30 | 20–10 | 67% | 0.02 | |
| B | 21 | 11–10 | 52% | 0.02 | |
| A | 20 | 12–8 | 60% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| D | 9 | 3–6 | 33% | 0.00 | |
| C | 7 | 3–4 | 43% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 977 | 54% | 1.25 | 17.3 |
| Dust2 | 417 | 53% | 1.31 | 17.4 |
| Ancient | 381 | 51% | 1.21 | 16.1 |
| Nuke | 300 | 49% | 1.14 | 15.7 |
| Anubis | 226 | 50% | 1.18 | 15.9 |
| Inferno | 54 | 50% | 1.15 | 15.5 |
| Overpass | 24 | 62% | 1.25 | 16.1 |
| Vertigo | 24 | 33% | 0.91 | 14.5 |
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
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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.06 | 56% | 7 Aug → | ||
| 10–13 | 0.06 | 43% | 5 Aug → | ||
| 13–7 | 0.06 | 23% | 5 Aug → | ||
| 13–1 | 0.13 | 24% | 4 Aug → | ||
| 9–13 | 0.02 | 33% | 4 Aug → | ||
| 6–13 | 0.02 | 23% | 21 Jul → | ||
| 13–10 | -0.00 | 33% | 30 Jun → | ||
| 8–13 | 0.04 | 25% | 18 May → | ||
| 13–10 | -0.05 | 35% | 18 May → | ||
| 7–13 | -0.02 | 22% | 28 Apr → | ||
| 7–13 | -0.01 | 21% | 28 Apr → | ||
| 5–13 | -0.06 | 17% | 28 Apr → | ||
| 13–11 | 0.01 | 15% | 27 Apr → | ||
| 13–3 | 0.09 | 38% | 27 Apr → | ||
| 10–13 | 0.04 | 15% | 26 Apr → | ||
| 11–13 | -0.02 | 11% | 26 Apr → | ||
| 13–9 | 0.08 | 17% | 25 Apr → | ||
| 5–13 | 0.08 | 21% | 24 Apr → | ||
| 13–4 | 0.05 | 24% | 24 Apr → | ||
| 13–5 | 0.01 | 47% | 22 Apr → | ||
| 13–7 | 0.08 | 42% | 9 Mar → | ||
| 13–4 | 0.06 | 42% | 9 Mar → | ||
| 13–9 | 0.02 | 22% | 5 Mar → | ||
| 13–10 | 0.01 | 26% | 4 Mar → | ||
| 13–11 | 0.03 | 16% | 3 Mar → | ||
| 8–4 | 0.11 | 31% | 3 Mar → | ||
| 20–22 | 0.02 | 23% | 24 Feb → | ||
| 13–16 | -0.02 | 20% | 23 Feb → | ||
| 11–13 | 0.01 | 44% | 18 Feb → | ||
| 13–7 | -0.02 | 32% | 17 Jan → | ||
| 13–10 | 0.04 | 22% | 17 Jan → | ||
| 11–13 | 0.01 | 33% | 17 Jan → | ||
| 4–13 | -0.07 | 13% | 17 Jan → | ||
| 13–11 | 0.01 | 27% | 17 Jan → | ||
| 11–13 | -0.03 | 20% | 16 Nov → | ||
| 6–13 | -0.03 | 23% | 16 Nov → | ||
| 5–13 | 0.01 | 45% | 16 Nov → | ||
| 13–11 | 0.02 | 18% | 15 Nov → | ||
| 13–10 | -0.00 | 35% | 15 Nov → | ||
| 5–12 | -0.03 | 38% | 14 Nov → | ||
| 6–13 | -0.02 | 25% | 14 Nov → | ||
| 13–7 | -0.03 | 32% | 12 Nov → | ||
| 13–6 | -0.00 | 20% | 12 Nov → | ||
| 13–11 | 0.00 | 34% | 12 Nov → | ||
| 9–14 | -0.02 | 7% | 8 Nov → | ||
| 13–11 | 0.01 | 31% | 8 Nov → | ||
| 10–13 | 0.00 | 33% | 8 Nov → | ||
| 13–3 | 0.10 | 22% | 7 Nov → | ||
| 16–14 | -0.00 | 15% | 7 Nov → | ||
| 3–13 | -0.04 | 25% | 7 Nov → | ||
| 13–4 | 0.05 | 42% | 7 Nov → | ||
| 6–13 | -0.07 | 38% | 7 Nov → | ||
| 16–14 | 0.03 | 40% | 7 Nov → | ||
| 5–13 | -0.03 | 25% | 27 Oct → | ||
| 11–13 | -0.07 | 21% | 27 Oct → | ||
| 2–13 | 0.02 | 23% | 27 Oct → | ||
| 13–5 | 0.00 | 10% | 27 Oct → | ||
| 6–13 | -0.05 | 32% | 27 Oct → | ||
| 16–14 | -0.00 | 25% | 24 Oct → | ||
| 13–3 | 0.11 | 36% | 24 Oct → | ||
| 13–3 | -0.05 | 25% | 23 Oct → | ||
| 8–13 | -0.02 | 0% | 23 Oct → | ||
| 14–11 | 0.07 | 25% | 23 Oct → | ||
| 13–10 | 0.02 | 25% | 22 Oct → | ||
| 13–8 | 0.03 | 25% | 22 Oct → | ||
| 16–12 | -0.01 | 5% | 18 Oct → | ||
| 12–16 | 0.00 | 15% | 18 Oct → | ||
| 5–13 | 0.04 | 29% | 18 Oct → | ||
| 13–7 | 0.03 | 36% | 17 Oct → | ||
| 16–14 | 0.00 | 17% | 17 Oct → | ||
| 13–11 | 0.02 | 25% | 16 Oct → | ||
| 11–13 | 0.05 | 18% | 16 Oct → | ||
| 10–13 | -0.02 | 18% | 16 Oct → | ||
| 19–16 | 0.04 | 33% | 15 Oct → | ||
| 13–4 | 0.10 | 26% | 15 Oct → | ||
| 3–10 | -0.06 | 20% | 14 Oct → | ||
| 5–3 | -0.07 | 50% | 14 Oct → | ||
| 6–13 | -0.01 | 45% | 14 Oct → | ||
| 16–14 | 0.02 | 25% | 8 Oct → | ||
| 13–6 | 0.10 | 33% | 8 Oct → | ||
| 13–9 | 0.04 | 44% | 6 Oct → | ||
| 13–4 | 0.01 | 0% | 6 Oct → | ||
| 2–13 | 0.03 | 46% | 4 Oct → | ||
| 13–4 | 0.03 | 19% | 4 Oct → | ||
| 6–13 | -0.03 | 14% | 4 Oct → | ||
| 1–13 | -0.07 | 33% | 4 Oct → | ||
| 13–8 | 0.03 | 31% | 4 Oct → | ||
| 16–14 | 0.03 | 19% | 4 Oct → | ||
| 13–1 | 0.14 | 35% | 3 Oct → | ||
| 13–2 | 0.10 | 27% | 3 Oct → | ||
| 10–13 | 0.00 | 37% | 30 Sept → | ||
| 1–1 | -0.10 | 0% | 30 Sept → | ||
| 13–9 | -0.03 | 24% | 28 Sept → | ||
| 13–11 | 0.02 | 38% | 28 Sept → | ||
| 7–13 | -0.01 | 33% | 28 Sept → | ||
| 6–13 | -0.05 | 18% | 28 Sept → | ||
| 13–8 | 0.03 | 12% | 28 Sept → | ||
| 13–6 | 0.14 | 36% | 28 Sept → | ||
| 9–13 | -0.01 | 25% | 14 Sept → | ||
| 7–13 | -0.01 | 30% | 14 Sept → |
Match data via Leetify.