Dystopia — CS2 Stats
76561198412287127[U:1:452021399]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Reliable in 1v1s
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 jL 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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
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. 585ms 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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| B | 36 | 17–19 | 47% | 0.02 | |
| C | 31 | 13–18 | 42% | 0.01 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| S | 5 | 5–0 | 100% | -0.00 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 3 | 0–3 | 0% | 0.03 | |
| — | 3 | 3–0 | 100% | 0.01 | |
| — | 2 | 2–0 | 100% | -0.00 | |
| office | — | 1 | 0–1 | 0% | 0.03 |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 76% | 1.22 | 16.1 |
| Vertigo | 14 | 57% | 1.56 | 16.5 |
| Inferno | 8 | 62% | 2.21 | 23.3 |
| Dust2 | 7 | 43% | 1.11 | 15.1 |
| Ancient | 7 | 43% | 1.68 | 15.7 |
| Anubis | 5 | 100% | 1.39 | 15.6 |
| Nuke | 3 | 67% | 1.28 | 16.0 |
| Overpass | 2 | 50% | 2.42 | 24.0 |
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.
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.71% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 2–13 | 0.03 | 14% | 8 Jul → | |
| 8–13 | 0.01 | 64% | 8 Jul → | ||
| 13–7 | 0.13 | 63% | 7 Jul → | ||
| 13–8 | -0.03 | 8% | 5 Jul → | ||
| 14–16 | 0.04 | 18% | 5 Jul → | ||
| 13–16 | 0.04 | 19% | 4 Jul → | ||
| 3–13 | 0.01 | 32% | 4 Jul → | ||
| 13–5 | 0.02 | 34% | 4 Jul → | ||
| 14–16 | -0.01 | 17% | 3 Jul → | ||
| 11–13 | -0.03 | 32% | 2 Jul → | ||
| 13–9 | 0.13 | 20% | 2 Jul → | ||
| 13–1 | 0.02 | 7% | 30 Jun → | ||
| 13–9 | 0.09 | 13% | 29 Jun → | ||
| 13–9 | -0.06 | 7% | 29 Jun → | ||
| 7–13 | -0.08 | 23% | 29 Jun → | ||
| 11–13 | 0.03 | 19% | 26 Jun → | ||
| 13–6 | 0.03 | 28% | 25 Jun → | ||
| 15–15 | -0.13 | 67% | 23 Jun → | ||
| 10–13 | 0.02 | 24% | 22 Jun → | ||
| 5–13 | 0.08 | 32% | 22 Jun → | ||
| 13–11 | 0.03 | 24% | 18 Jun → | ||
| 13–10 | 0.08 | 44% | 18 Jun → | ||
| 8–13 | -0.02 | 17% | 31 May → | ||
| 16–13 | -0.04 | 19% | 31 May → | ||
| 13–10 | -0.06 | 11% | 31 May → | ||
| 7–13 | 0.02 | 24% | 30 May → | ||
| 3–13 | 0.02 | 19% | 27 May → | ||
| 9–13 | 0.00 | 19% | 27 May → | ||
| 13–3 | -0.02 | 45% | 22 May → | ||
| 7–13 | -0.02 | 38% | 22 May → | ||
| 8–13 | 0.00 | 32% | 13 May → | ||
| 1–13 | -0.14 | 18% | 3 May → | ||
| 11–13 | 0.04 | 33% | 30 Apr → | ||
| 13–10 | 0.01 | 21% | 30 Apr → | ||
| 13–5 | 0.02 | 40% | 30 Apr → | ||
| 13–10 | 0.26 | 17% | 27 Apr → | ||
| 11–13 | -0.02 | 28% | 23 Apr → | ||
| 13–7 | 0.00 | 12% | 23 Apr → | ||
| 11–13 | -0.02 | 22% | 23 Apr → | ||
| 2–13 | 0.04 | 44% | 23 Apr → | ||
| 12–12 | 0.08 | 23% | 22 Apr → | ||
| 4–13 | -0.01 | 35% | 11 Apr → | ||
| 13–11 | 0.03 | 25% | 11 Apr → | ||
| 13–9 | 0.10 | 44% | 3 Apr → | ||
| 13–9 | 0.00 | 21% | 3 Apr → | ||
| 1–1 | -0.22 | 0% | 3 Apr → | ||
| 11–13 | 0.01 | 18% | 3 Apr → | ||
| 9–13 | -0.04 | 19% | 1 Mar → | ||
| 13–5 | 0.00 | 48% | 23 Feb → | ||
| 13–8 | -0.06 | 52% | 23 Feb → | ||
| 7–13 | 0.02 | 38% | 23 Feb → | ||
| 13–9 | 0.06 | 18% | 22 Feb → | ||
| 13–8 | 0.05 | 23% | 22 Feb → | ||
| 8–13 | -0.02 | 25% | 22 Feb → | ||
| 13–5 | 0.00 | 24% | 22 Feb → | ||
| 5–13 | -0.01 | 40% | 20 Feb → | ||
| 15–15 | -0.05 | 27% | 13 Feb → | ||
| 5–13 | -0.10 | 26% | 13 Feb → | ||
| 7–13 | 0.01 | 28% | 8 Feb → | ||
| 7–13 | -0.00 | 40% | 4 Feb → | ||
| 15–15 | 0.04 | 22% | 30 Jan → | ||
| 13–8 | -0.02 | 20% | 30 Jan → | ||
| 13–4 | 0.01 | 18% | 30 Jan → | ||
| 13–6 | 0.03 | 14% | 30 Jan → | ||
| 13–11 | 0.03 | 33% | 30 Jan → | ||
| 13–2 | 0.10 | 27% | 30 Jan → | ||
| 13–3 | -0.01 | 39% | 29 Jan → | ||
| 16–13 | -0.00 | 18% | 29 Jan → | ||
| 13–7 | 0.04 | 32% | 29 Jan → | ||
| 11–13 | -0.04 | 7% | 29 Jan → | ||
| 13–9 | 0.05 | 18% | 29 Jan → | ||
| 12–12 | 0.00 | 21% | 27 Jan → | ||
| 9–13 | -0.03 | 35% | 26 Jan → | ||
| 8–13 | 0.05 | 45% | 26 Jan → | ||
| 13–5 | -0.02 | 11% | 22 Jan → | ||
| 13–11 | 0.08 | 17% | 20 Jan → | ||
| 9–13 | -0.03 | 31% | 14 Jan → | ||
| 5–13 | -0.02 | 21% | 12 Jan → | ||
| 13–3 | -0.03 | 21% | 12 Jan → | ||
| 6–13 | -0.07 | 38% | 12 Jan → | ||
| 13–10 | 0.01 | 15% | 8 Jan → | ||
| 13–6 | -0.01 | 21% | 8 Jan → | ||
| 8–13 | 0.08 | 30% | 8 Jan → | ||
| 0–13 | -0.04 | 10% | 8 Jan → | ||
| 13–9 | 0.03 | 38% | 7 Jan → | ||
| 11–13 | 0.10 | 34% | 7 Jan → | ||
| 13–7 | -0.02 | 32% | 7 Jan → | ||
| 13–4 | 0.03 | 31% | 6 Jan → | ||
| 13–4 | 0.02 | 21% | 21 Dec → | ||
| 7–13 | -0.02 | 23% | 21 Dec → | ||
| 13–5 | -0.02 | 10% | 20 Dec → | ||
| 7–13 | 0.00 | 15% | 20 Dec → | ||
| 7–13 | -0.04 | 35% | 19 Dec → | ||
| 8–13 | -0.06 | 26% | 18 Dec → | ||
| 13–11 | 0.01 | 26% | 16 Dec → | ||
| 6–13 | 0.04 | 46% | 14 Dec → | ||
| 13–5 | 0.05 | 55% | 11 Dec → | ||
| 13–6 | 0.07 | 42% | 11 Dec → | ||
| 6–13 | 0.03 | 20% | 11 Dec → | ||
| 10–13 | -0.04 | 22% | 10 Dec → |
Match data via Leetify.