Proxy — CS2 Stats
76561197988885291[U:1:28619563]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.05 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 83% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim 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. 605ms 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 5.7/10 (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 |
|---|---|---|---|---|---|
| C | 35 | 13–22 | 37% | 0.03 | |
| B | 21 | 10–11 | 48% | 0.07 | |
| A | 21 | 12–9 | 57% | 0.05 | |
| S | 15 | 10–5 | 67% | 0.05 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (37% over 35). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 28 | 54% | 1.04 | 15.3 |
| Inferno | 25 | 56% | 1.08 | 14.3 |
| Ancient | 24 | 62% | 1.07 | 16.3 |
| Mirage | 20 | 40% | 1.06 | 15.2 |
| Dust2 | 12 | 33% | 1.07 | 17.0 |
| Nuke | 8 | 50% | 1.03 | 15.1 |
| Vertigo | 4 | 50% | 1.62 | 13.8 |
| Overpass | 2 | 50% | 0.86 | 11.5 |
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
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 37.0719% — 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.
37% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.09 | 27% | 28 Aug → | ||
| 13–11 | 0.02 | 32% | 24 Aug → | ||
| 9–7 | 0.05 | 18% | 15 May → | ||
| 9–4 | 0.08 | 18% | 15 May → | ||
| 6–9 | 0.01 | 13% | 15 May → | ||
| 5–9 | -0.05 | 50% | 15 May → | ||
| 5–9 | -0.08 | 28% | 15 May → | ||
| 4–9 | -0.04 | 31% | 9 May → | ||
| 9–0 | 0.16 | 17% | 9 May → | ||
| 9–7 | -0.02 | 30% | 9 May → | ||
| 7–9 | 0.02 | 31% | 9 May → | ||
| 7–9 | -0.06 | 31% | 9 May → | ||
| 5–9 | -0.04 | 29% | 9 May → | ||
| 9–1 | 0.13 | 40% | 9 May → | ||
| 9–0 | 0.19 | 19% | 9 May → | ||
| 9–1 | 0.24 | 52% | 9 May → | ||
| 2–9 | -0.06 | 20% | 9 May → | ||
| 9–5 | 0.08 | 13% | 9 May → | ||
| 3–9 | -0.15 | 17% | 8 May → | ||
| 9–1 | 0.25 | 22% | 8 May → | ||
| 9–2 | 0.17 | 26% | 8 May → | ||
| 9–4 | 0.08 | 32% | 8 May → | ||
| 9–5 | 0.18 | 33% | 8 May → | ||
| 9–3 | 0.19 | 35% | 6 May → | ||
| 9–3 | 0.13 | 24% | 6 May → | ||
| 9–1 | 0.21 | 20% | 6 May → | ||
| 9–6 | 0.14 | 28% | 6 May → | ||
| 6–9 | -0.06 | 22% | 6 May → | ||
| 13–6 | -0.00 | 31% | 14 Feb → | ||
| 13–3 | 0.02 | 18% | 14 Feb → | ||
| 13–6 | 0.05 | 24% | 14 Feb → | ||
| 11–13 | 0.02 | 18% | 14 Feb → | ||
| 5–9 | -0.03 | 29% | 3 Jan → | ||
| 9–5 | 0.11 | 24% | 3 Jan → | ||
| 3–9 | -0.09 | 9% | 3 Jan → | ||
| 3–13 | -0.06 | 19% | 18 Dec → | ||
| 8–13 | -0.02 | 34% | 8 Dec → | ||
| 2–9 | -0.11 | 17% | 8 Dec → | ||
| 8–8 | 0.05 | 14% | 8 Dec → | ||
| 8–8 | 0.19 | 28% | 8 Dec → | ||
| 5–9 | -0.07 | 28% | 8 Dec → | ||
| 2–9 | -0.14 | 13% | 7 Dec → | ||
| 2–9 | -0.20 | 25% | 7 Dec → | ||
| 9–5 | 0.12 | 25% | 7 Dec → | ||
| 6–9 | -0.05 | 28% | 7 Dec → | ||
| 9–4 | 0.16 | 46% | 7 Dec → | ||
| 9–7 | 0.06 | 28% | 7 Dec → | ||
| 9–3 | 0.12 | 35% | 7 Dec → | ||
| 9–1 | 0.26 | 18% | 7 Dec → | ||
| 8–8 | 0.02 | 20% | 7 Dec → | ||
| 9–4 | 0.22 | 26% | 7 Dec → | ||
| 8–8 | 0.00 | 24% | 7 Dec → | ||
| 6–9 | 0.02 | 39% | 7 Dec → | ||
| 8–8 | 0.03 | 21% | 7 Dec → | ||
| 2–9 | -0.11 | 19% | 7 Dec → | ||
| 9–2 | 0.14 | 30% | 7 Dec → | ||
| 5–9 | 0.04 | 36% | 7 Dec → | ||
| 8–8 | 0.04 | 31% | 7 Dec → | ||
| 9–7 | 0.08 | 21% | 7 Dec → | ||
| 8–8 | -0.11 | 23% | 7 Dec → | ||
| 6–9 | 0.03 | 16% | 7 Dec → | ||
| 9–2 | 0.11 | 30% | 7 Dec → | ||
| 3–9 | -0.08 | 20% | 3 Dec → | ||
| 9–0 | 0.08 | 23% | 3 Dec → | ||
| 9–4 | 0.23 | 29% | 3 Dec → | ||
| 8–8 | 0.05 | 25% | 3 Dec → | ||
| 9–3 | 0.12 | 9% | 3 Dec → | ||
| 9–3 | -0.11 | 25% | 3 Dec → | ||
| 8–8 | 0.08 | 21% | 3 Dec → | ||
| 9–6 | 0.05 | 21% | 3 Dec → | ||
| 7–9 | -0.00 | 8% | 3 Dec → | ||
| 9–5 | -0.01 | 28% | 3 Dec → | ||
| 5–9 | -0.06 | 20% | 3 Dec → | ||
| 8–8 | 0.05 | 13% | 2 Dec → | ||
| 8–8 | 0.12 | 29% | 2 Dec → | ||
| 9–4 | 0.15 | 16% | 2 Dec → | ||
| 9–4 | -0.00 | 9% | 2 Dec → | ||
| 9–5 | 0.05 | 14% | 2 Dec → | ||
| 6–9 | -0.02 | 15% | 2 Dec → | ||
| 7–9 | -0.00 | 21% | 2 Dec → | ||
| 7–9 | -0.00 | 12% | 2 Dec → | ||
| 8–8 | -0.10 | 18% | 1 Dec → | ||
| 9–2 | 0.05 | 33% | 1 Dec → | ||
| 3–9 | 0.06 | 29% | 1 Dec → | ||
| 6–9 | -0.02 | 10% | 1 Dec → | ||
| 9–2 | 0.20 | 32% | 1 Dec → | ||
| 7–9 | -0.05 | 18% | 1 Dec → | ||
| 9–3 | -0.09 | 8% | 15 Nov → | ||
| 4–9 | -0.04 | 22% | 15 Nov → | ||
| 9–4 | 0.15 | 19% | 15 Nov → | ||
| 9–6 | 0.02 | 30% | 15 Nov → | ||
| 9–7 | 0.17 | 21% | 15 Nov → | ||
| 6–9 | -0.05 | 21% | 15 Nov → | ||
| 9–6 | 0.09 | 24% | 15 Nov → | ||
| 9–3 | 0.12 | 32% | 15 Nov → | ||
| 9–3 | 0.19 | 24% | 15 Nov → | ||
| 9–3 | 0.16 | 9% | 15 Nov → | ||
| 6–9 | 0.05 | 21% | 15 Nov → | ||
| 7–9 | 0.05 | 12% | 15 Nov → | ||
| 13–8 | -0.00 | 20% | 10 Nov → |
Match data via Leetify.