Shyron — CS2 Stats
76561199189100519[U:1:1228834791]
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 | 48.6% | 52.0% |
| Shot accuracy | 3.8% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 51.8% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 572ms 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 (×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 |
|---|---|---|---|---|---|
| A | 32 | 20–12 | 63% | 0.06 | |
| B | 19 | 10–9 | 53% | 0.02 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| S | 7 | 6–1 | 86% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.05 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 491 | 51% | 1.12 | 16.4 |
| Anubis | 409 | 53% | 1.17 | 17.1 |
| Inferno | 258 | 54% | 1.20 | 17.7 |
| Mirage | 235 | 46% | 1.04 | 15.7 |
| Ancient | 197 | 53% | 1.10 | 16.4 |
| Nuke | 137 | 50% | 1.12 | 16.7 |
| Train | 69 | 54% | 1.24 | 17.0 |
| Overpass | 46 | 48% | 0.98 | 15.3 |
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.02 | 21% | 24 Aug → | ||
| 13–9 | -0.03 | 32% | 24 Aug → | ||
| 13–11 | 0.03 | 29% | 23 Aug → | ||
| 13–6 | 0.10 | 33% | 23 Aug → | ||
| 9–13 | 0.02 | 30% | 21 Aug → | ||
| 7–13 | 0.01 | 14% | 1 Aug → | ||
| 5–13 | -0.01 | 25% | 19 Jul → | ||
| 13–10 | 0.04 | 17% | 19 Jul → | ||
| 11–13 | -0.05 | 21% | 18 Jul → | ||
| 13–6 | 0.02 | 13% | 17 Jul → | ||
| 11–13 | 0.01 | 27% | 17 Jul → | ||
| 13–5 | 0.08 | 26% | 17 Jul → | ||
| 13–9 | 0.01 | 15% | 17 Jul → | ||
| 5–13 | 0.03 | 12% | 16 Jul → | ||
| 13–8 | 0.04 | 19% | 16 Jul → | ||
| 16–12 | 0.05 | 19% | 16 Jul → | ||
| 2–13 | -0.07 | 19% | 15 Jul → | ||
| 13–11 | 0.15 | 21% | 23 Jun → | ||
| 11–13 | 0.03 | 22% | 12 Jun → | ||
| 13–7 | 0.04 | 31% | 12 Jun → | ||
| 9–13 | 0.01 | 18% | 9 Jun → | ||
| 16–13 | 0.04 | 22% | 9 Jun → | ||
| 13–5 | 0.07 | 23% | 8 Jun → | ||
| 13–5 | 0.30 | 22% | 13 May → | ||
| 13–5 | 0.12 | 11% | 11 May → | ||
| 13–6 | 0.03 | 13% | 11 May → | ||
| 9–13 | 0.13 | 20% | 10 May → | ||
| 13–4 | 0.06 | 23% | 10 May → | ||
| 13–4 | 0.11 | 32% | 10 May → | ||
| 13–5 | 0.12 | 20% | 10 May → | ||
| 17–19 | -0.06 | 16% | 27 Apr → | ||
| 13–2 | 0.03 | 19% | 25 Apr → | ||
| 10–13 | -0.02 | 29% | 25 Apr → | ||
| 7–13 | -0.01 | 21% | 24 Apr → | ||
| 13–9 | 0.00 | 21% | 23 Apr → | ||
| 13–9 | 0.02 | 20% | 23 Apr → | ||
| 2–13 | -0.13 | 8% | 22 Apr → | ||
| 13–10 | 0.01 | 20% | 21 Apr → | ||
| 13–6 | -0.00 | 20% | 20 Apr → | ||
| 13–11 | -0.03 | 18% | 18 Apr → | ||
| 11–13 | 0.07 | 21% | 17 Apr → | ||
| 3–13 | -0.03 | 20% | 17 Apr → | ||
| 9–13 | -0.06 | 19% | 17 Apr → | ||
| 13–9 | 0.01 | 31% | 15 Apr → | ||
| 13–6 | 0.18 | 19% | 11 Apr → | ||
| 1–10 | 0.08 | 25% | 11 Apr → | ||
| 9–13 | 0.01 | 35% | 4 Apr → | ||
| 16–12 | 0.03 | 16% | 3 Apr → | ||
| 11–13 | 0.01 | 11% | 3 Apr → | ||
| 11–13 | 0.01 | 11% | 3 Apr → | ||
| 13–2 | 0.11 | 26% | 3 Apr → | ||
| 13–4 | 0.12 | 26% | 1 Apr → | ||
| 16–12 | 0.14 | 27% | 1 Apr → | ||
| 13–7 | 0.01 | 22% | 29 Mar → | ||
| 7–13 | -0.04 | 13% | 24 Mar → | ||
| 13–8 | 0.06 | 30% | 23 Mar → | ||
| 13–8 | 0.04 | 15% | 18 Mar → | ||
| 14–16 | -0.02 | 22% | 18 Mar → | ||
| 9–0 | 0.23 | 15% | 17 Mar → | ||
| 9–1 | 0.31 | 15% | 17 Mar → | ||
| 12–12 | 0.11 | 23% | 17 Mar → | ||
| 13–0 | 0.26 | 25% | 17 Mar → | ||
| 8–13 | -0.06 | 19% | 16 Mar → | ||
| 14–16 | 0.03 | 17% | 15 Mar → | ||
| 9–13 | -0.02 | 10% | 14 Mar → | ||
| 13–3 | 0.09 | 21% | 12 Mar → | ||
| 9–13 | -0.03 | 19% | 11 Mar → | ||
| 6–13 | -0.04 | 26% | 11 Mar → | ||
| 13–9 | -0.02 | 21% | 11 Mar → | ||
| 3–13 | -0.05 | 23% | 11 Mar → | ||
| 13–9 | 0.01 | 20% | 10 Mar → | ||
| 3–13 | -0.11 | 7% | 10 Mar → | ||
| 8–13 | -0.02 | 23% | 8 Mar → | ||
| 13–11 | 0.07 | 30% | 7 Mar → | ||
| 13–11 | 0.03 | 17% | 5 Mar → | ||
| 10–13 | -0.00 | 13% | 5 Mar → | ||
| 8–13 | -0.03 | 43% | 4 Mar → | ||
| 16–13 | 0.04 | 19% | 4 Mar → | ||
| 13–6 | -0.01 | 23% | 4 Mar → | ||
| 13–8 | 0.01 | 38% | 4 Mar → | ||
| 6–13 | -0.03 | 20% | 4 Mar → | ||
| 8–13 | -0.02 | 17% | 2 Mar → | ||
| 13–11 | 0.00 | 21% | 2 Mar → | ||
| 13–9 | 0.02 | 21% | 28 Feb → | ||
| 16–14 | -0.01 | 12% | 28 Feb → | ||
| 8–13 | -0.02 | 18% | 27 Feb → | ||
| 9–13 | -0.01 | 12% | 27 Feb → | ||
| 16–19 | -0.05 | 17% | 26 Feb → | ||
| 4–13 | -0.07 | 13% | 25 Feb → | ||
| 13–9 | 0.07 | 20% | 25 Feb → | ||
| 13–11 | -0.08 | 17% | 23 Feb → | ||
| 7–13 | -0.02 | 20% | 20 Feb → | ||
| 13–4 | 0.05 | 12% | 20 Feb → | ||
| 13–3 | 0.05 | 13% | 19 Feb → | ||
| 8–13 | 0.13 | 27% | 17 Feb → | ||
| 6–13 | -0.02 | 19% | 16 Feb → | ||
| 13–5 | 0.13 | 27% | 15 Feb → | ||
| 13–4 | 0.04 | 30% | 15 Feb → | ||
| 13–6 | 0.05 | 26% | 13 Feb → | ||
| 13–11 | 0.07 | 19% | 6 Feb → |
Match data via Leetify.