sic semper tyrannis — CS2 Stats
76561198124204695[U:1:163938967]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 52.3% | 51.9% |
| Shot accuracy | 8.9% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 48.5% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 b1t 96% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | 0.01 | |
| C | 22 | 9–13 | 41% | 0.01 | |
| A | 16 | 9–7 | 56% | 0.00 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| — | 4 | 0–4 | 0% | -0.00 | |
| — | 2 | 2–0 | 100% | 0.14 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Dust 2 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 689 | 51% | 1.08 | 16.1 |
| Mirage | 575 | 50% | 1.08 | 16.2 |
| Anubis | 485 | 52% | 1.10 | 16.2 |
| Inferno | 334 | 49% | 1.08 | 16.2 |
| Ancient | 216 | 49% | 1.11 | 16.3 |
| Vertigo | 203 | 59% | 1.15 | 16.7 |
| Nuke | 73 | 33% | 1.00 | 15.9 |
| Train | 39 | 49% | 1.07 | 16.4 |
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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.6745% — 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.
41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.02 | 37% | 22 Aug → | ||
| 13–10 | -0.01 | 28% | 22 Aug → | ||
| 13–6 | 0.09 | 29% | 16 Aug → | ||
| 13–16 | 0.06 | 24% | 8 Jun → | ||
| 13–2 | 0.06 | 18% | 28 May → | ||
| 13–0 | 0.17 | 29% | 28 May → | ||
| 16–12 | -0.01 | 22% | 16 May → | ||
| 13–16 | -0.02 | 27% | 15 May → | ||
| 12–16 | -0.04 | 22% | 15 May → | ||
| 11–13 | 0.03 | 24% | 13 May → | ||
| 13–4 | 0.05 | 19% | 13 May → | ||
| 6–13 | 0.06 | 34% | 12 May → | ||
| 8–13 | -0.08 | 28% | 9 May → | ||
| 10–13 | -0.01 | 29% | 9 May → | ||
| 13–7 | 0.01 | 26% | 8 May → | ||
| 8–13 | 0.02 | 32% | 8 May → | ||
| 13–11 | 0.04 | 32% | 4 May → | ||
| 23–25 | -0.01 | 29% | 4 May → | ||
| 13–10 | 0.06 | 43% | 4 May → | ||
| 13–10 | -0.03 | 39% | 2 May → | ||
| 9–13 | -0.01 | 18% | 1 May → | ||
| 13–9 | 0.08 | 38% | 25 Apr → | ||
| 8–13 | 0.01 | 33% | 23 Apr → | ||
| 7–13 | -0.03 | 26% | 22 Apr → | ||
| 13–7 | 0.06 | 41% | 22 Apr → | ||
| 16–14 | 0.01 | 26% | 22 Apr → | ||
| 13–10 | 0.04 | 29% | 21 Apr → | ||
| 13–5 | 0.02 | 24% | 21 Apr → | ||
| 13–9 | 0.03 | 32% | 21 Apr → | ||
| 13–4 | 0.08 | 36% | 19 Apr → | ||
| 8–13 | 0.04 | 32% | 16 Apr → | ||
| 13–8 | 0.07 | 22% | 5 Apr → | ||
| 6–13 | -0.02 | 31% | 4 Apr → | ||
| 10–13 | 0.00 | 26% | 3 Apr → | ||
| 13–11 | -0.01 | 44% | 2 Apr → | ||
| 14–16 | -0.01 | 24% | 31 Mar → | ||
| 13–5 | 0.15 | 28% | 31 Mar → | ||
| 6–13 | -0.03 | 32% | 28 Mar → | ||
| 7–13 | 0.01 | 24% | 26 Mar → | ||
| 1–13 | 0.30 | 82% | 20 Mar → | ||
| 7–13 | -0.01 | 35% | 19 Mar → | ||
| 13–10 | 0.02 | 37% | 18 Mar → | ||
| 6–13 | -0.02 | 32% | 17 Mar → | ||
| 7–13 | -0.10 | 26% | 17 Mar → | ||
| 16–13 | 0.02 | 25% | 16 Mar → | ||
| 3–13 | -0.03 | 11% | 7 Mar → | ||
| 12–16 | 0.03 | 28% | 3 Mar → | ||
| 13–10 | 0.09 | 19% | 26 Feb → | ||
| 19–17 | 0.06 | 23% | 23 Feb → | ||
| 19–17 | 0.01 | 17% | 5 Feb → | ||
| 9–6 | 0.20 | 50% | 2 Feb → | ||
| 9–13 | -0.01 | 21% | 21 Jan → | ||
| 13–10 | 0.04 | 36% | 21 Jan → | ||
| 11–13 | -0.03 | 32% | 20 Jan → | ||
| 11–13 | -0.02 | 36% | 17 Jan → | ||
| 12–16 | 0.03 | 31% | 15 Jan → | ||
| 13–11 | 0.03 | 16% | 15 Jan → | ||
| 13–5 | 0.00 | 29% | 14 Jan → | ||
| 13–8 | 0.02 | 14% | 14 Jan → | ||
| 4–13 | -0.05 | 18% | 8 Jan → | ||
| 7–13 | -0.02 | 25% | 8 Jan → | ||
| 7–13 | -0.01 | 21% | 7 Jan → | ||
| 13–8 | -0.05 | 28% | 3 Jan → | ||
| 11–13 | -0.02 | 24% | 2 Jan → | ||
| 14–16 | -0.02 | 16% | 29 Dec → | ||
| 13–8 | 0.04 | 29% | 29 Dec → | ||
| 13–10 | -0.01 | 15% | 27 Dec → | ||
| 15–19 | 0.04 | 24% | 25 Dec → | ||
| 6–13 | -0.00 | 29% | 24 Dec → | ||
| 11–13 | -0.01 | 41% | 16 Dec → | ||
| 10–13 | -0.05 | 24% | 14 Dec → | ||
| 13–4 | 0.05 | 22% | 10 Dec → | ||
| 11–13 | -0.02 | 28% | 10 Dec → | ||
| 13–16 | 0.03 | 24% | 4 Jul → | ||
| 11–13 | -0.05 | 28% | 10 Jun → | ||
| 8–13 | -0.05 | 31% | 8 Jun → | ||
| 13–9 | 0.05 | 39% | 2 Jun → | ||
| 9–13 | -0.10 | 18% | 31 May → | ||
| 10–13 | -0.04 | 29% | 31 May → | ||
| 8–13 | -0.04 | 24% | 25 May → | ||
| 6–13 | -0.05 | 38% | 25 May → | ||
| 19–17 | -0.06 | 24% | 25 May → | ||
| 3–13 | -0.11 | 23% | 24 May → | ||
| 22–20 | -0.00 | 25% | 24 May → | ||
| 13–3 | 0.05 | 17% | 24 May → | ||
| 10–13 | -0.06 | 28% | 21 May → | ||
| 13–4 | 0.10 | 28% | 20 May → | ||
| 13–9 | -0.03 | 12% | 12 May → | ||
| 14–16 | -0.00 | 25% | 11 May → | ||
| 13–10 | 0.02 | 30% | 3 May → | ||
| 7–13 | -0.01 | 24% | 30 Apr → | ||
| 13–2 | 0.06 | 35% | 29 Apr → | ||
| 13–0 | 0.09 | 23% | 23 Apr → | ||
| 13–9 | -0.03 | 36% | 23 Apr → | ||
| 11–13 | -0.04 | 28% | 23 Apr → | ||
| 13–5 | -0.13 | 19% | 22 Apr → | ||
| 13–4 | 0.02 | 24% | 21 Apr → | ||
| 13–5 | -0.00 | 32% | 21 Apr → | ||
| 13–9 | 0.03 | 27% | 17 Apr → | ||
| 13–8 | 0.05 | 18% | 17 Apr → |
Match data via Leetify.