virus_52_z — CS2 Stats
76561198936817604[U:1:976551876]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingHigh utility contribution
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 iM 90% playstyle similarity
Most alike: opening-duel success, positioning 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
Strengths
Utility. Utility score of 79 — grenade impact well above the norm.
Areas to improve
Reaction time. 639ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 23 | 11–12 | 48% | 0.04 | |
| B | 21 | 10–11 | 48% | 0.04 | |
| S | 16 | 11–5 | 69% | 0.02 | |
| C | 13 | 5–8 | 38% | 0.00 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.10 | |
| — | 3 | 3–0 | 100% | 0.08 | |
| — | 3 | 1–2 | 33% | 0.04 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| office | — | 1 | 1–0 | 100% | -0.01 |
| warden | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 2 | 0% | 1.14 | 16.5 |
| Anubis | 2 | 0% | 0.97 | 12.0 |
| Mirage | 1 | 100% | 1.36 | 15.0 |
| Inferno | 1 | 100% | 1.64 | 18.0 |
| Dust2 | 1 | 100% | 1.44 | 13.0 |
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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.03 | 40% | 10 Aug → | ||
| 7–13 | -0.03 | 21% | 9 Aug → | ||
| 5–3 | -0.06 | 17% | 9 Aug → | ||
| 13–9 | 0.02 | 25% | 9 Aug → | ||
| 7–13 | 0.02 | 34% | 9 Aug → | ||
| 10–13 | 0.02 | 17% | 9 Aug → | ||
| 7–13 | -0.04 | 24% | 9 Aug → | ||
| 13–5 | 0.06 | 40% | 8 Aug → | ||
| 10–13 | 0.02 | 33% | 8 Aug → | ||
| 13–0 | 0.00 | 100% | 8 Aug → | ||
| 2–0 | 0.12 | 67% | 8 Aug → | ||
| 7–13 | 0.01 | 30% | 8 Aug → | ||
| 13–10 | 0.04 | 34% | 8 Aug → | ||
| 13–7 | 0.00 | 13% | 8 Aug → | ||
| 8–13 | -0.03 | 19% | 8 Aug → | ||
| 9–13 | -0.04 | 32% | 4 Aug → | ||
| 13–8 | -0.04 | 23% | 4 Aug → | ||
| 13–2 | 0.05 | 13% | 4 Aug → | ||
| 13–10 | 0.04 | 14% | 4 Aug → | ||
| 13–11 | 0.03 | 11% | 4 Aug → | ||
| 13–9 | 0.05 | 26% | 4 Aug → | ||
| 14–16 | -0.04 | 22% | 4 Aug → | ||
| 3–13 | -0.06 | 26% | 1 Aug → | ||
| 6–13 | 0.01 | 47% | 1 Aug → | ||
| 9–13 | 0.05 | 29% | 14 Jun → | ||
| 11–13 | 0.05 | 16% | 5 Jun → | ||
| 7–13 | 0.08 | 19% | 27 May → | ||
| 2–7 | -0.12 | 19% | 27 May → | ||
| 12–12 | 0.06 | 20% | 24 May → | ||
| 12–12 | 0.06 | 13% | 20 May → | ||
| 3–13 | -0.05 | 21% | 20 May → | ||
| 6–13 | 0.08 | 18% | 15 May → | ||
| 13–4 | 0.17 | 25% | 14 May → | ||
| 13–11 | 0.10 | 29% | 14 May → | ||
| 10–13 | 0.06 | 25% | 5 May → | ||
| 13–7 | 0.02 | 16% | 5 May → | ||
| 13–8 | 0.05 | 20% | 5 May → | ||
| 13–7 | 0.13 | 31% | 3 May → | ||
| 13–10 | 0.01 | 14% | 3 May → | ||
| 11–13 | 0.11 | 24% | 2 May → | ||
| 10–13 | 0.10 | 17% | 2 May → | ||
| 13–5 | 0.09 | 22% | 2 May → | ||
| 12–12 | 0.02 | 22% | 2 May → | ||
| 13–9 | 0.09 | 18% | 29 Apr → | ||
| 13–7 | 0.05 | 18% | 29 Apr → | ||
| 13–8 | 0.07 | 27% | 29 Apr → | ||
| 13–1 | 0.13 | 25% | 29 Apr → | ||
| 6–13 | 0.01 | 15% | 29 Apr → | ||
| 13–4 | 0.07 | 29% | 29 Apr → | ||
| 5–13 | -0.03 | 29% | 29 Apr → | ||
| 5–13 | 0.12 | 33% | 28 Apr → | ||
| 13–9 | 0.16 | 23% | 28 Apr → | ||
| 13–10 | 0.00 | 13% | 28 Apr → | ||
| 13–5 | 0.03 | 20% | 25 Apr → | ||
| 13–10 | 0.09 | 31% | 25 Apr → | ||
| 13–7 | 0.12 | 31% | 25 Apr → | ||
| 13–9 | 0.13 | 21% | 25 Apr → | ||
| 13–6 | 0.03 | 25% | 25 Apr → | ||
| 12–12 | 0.05 | 35% | 25 Apr → | ||
| 7–13 | 0.11 | 14% | 24 Apr → | ||
| 13–4 | 0.10 | 11% | 23 Apr → | ||
| 13–9 | 0.06 | 27% | 23 Apr → | ||
| 9–13 | 0.16 | 23% | 23 Apr → | ||
| office | 11–7 | -0.01 | 50% | 5 Mar → | |
| 13–10 | 0.10 | 25% | 2 Mar → | ||
| 13–6 | 0.04 | 14% | 1 Mar → | ||
| 4–9 | 0.11 | 25% | 1 Mar → | ||
| 13–1 | 0.10 | 19% | 1 Mar → | ||
| 12–12 | 0.10 | 10% | 1 Mar → | ||
| 13–7 | 0.02 | 21% | 28 Feb → | ||
| 13–6 | 0.08 | 13% | 27 Feb → | ||
| 11–13 | 0.03 | 25% | 27 Feb → | ||
| 13–11 | 0.01 | 9% | 26 Feb → | ||
| 13–9 | -0.00 | 17% | 25 Feb → | ||
| 13–7 | 0.01 | 24% | 24 Feb → | ||
| 5–13 | -0.07 | 14% | 24 Feb → | ||
| 5–13 | -0.06 | 20% | 24 Feb → | ||
| 13–10 | 0.02 | 26% | 24 Feb → | ||
| 5–13 | -0.02 | 12% | 24 Feb → | ||
| 13–6 | -0.03 | 7% | 24 Feb → | ||
| 5–12 | -0.09 | 33% | 24 Feb → | ||
| 7–13 | 0.06 | 35% | 24 Feb → | ||
| 9–13 | -0.06 | 12% | 24 Feb → | ||
| 3–13 | -0.07 | 24% | 24 Feb → | ||
| 5–13 | -0.03 | 21% | 24 Feb → | ||
| 13–6 | -0.03 | 15% | 24 Feb → | ||
| 10–13 | 0.00 | 9% | 24 Feb → | ||
| 11–13 | 0.01 | 18% | 24 Feb → | ||
| 6–13 | 0.03 | 18% | 24 Feb → | ||
| 13–7 | 0.09 | 30% | 20 Feb → | ||
| 13–5 | -0.02 | 18% | 19 Feb → | ||
| 13–11 | 0.08 | 34% | 19 Feb → | ||
| 10–13 | 0.00 | 22% | 18 Feb → | ||
| 8–13 | -0.04 | 21% | 17 Feb → | ||
| 13–3 | 0.09 | 16% | 16 Feb → | ||
| 13–2 | 0.10 | 22% | 16 Feb → | ||
| 13–7 | 0.10 | 16% | 12 Feb → | ||
| 9–13 | 0.07 | 21% | 11 Feb → | ||
| warden | 10–9 | 0.04 | 21% | 11 Feb → | |
| 13–0 | 0.16 | 16% | 11 Feb → |
Match data via Leetify.