rsr — CS2 Stats
76561198219226587[U:1:258960859]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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, 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
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.3° off target when enemies appear — placement, not flicking, is the bigger win available.
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.
T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 31 | 11–20 | 35% | 0.05 | |
| C | 19 | 7–12 | 37% | 0.03 | |
| C | 15 | 6–9 | 40% | 0.05 | |
| B | 11 | 5–6 | 45% | 0.06 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| S | 7 | 7–0 | 100% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.11 | |
| — | 2 | 2–0 | 100% | 0.08 | |
| — | 1 | 1–0 | 100% | 0.20 | |
| — | 1 | 1–0 | 100% | 0.13 | |
| office | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 605 | 53% | 1.27 | 16.9 |
| Ancient | 572 | 53% | 1.29 | 16.2 |
| Anubis | 382 | 55% | 1.20 | 16.1 |
| Dust2 | 329 | 56% | 1.27 | 16.5 |
| Nuke | 173 | 44% | 1.09 | 15.7 |
| Overpass | 92 | 51% | 1.18 | 16.9 |
| Train | 49 | 45% | 1.04 | 13.8 |
| Vertigo | 36 | 50% | 1.06 | 14.6 |
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 36.336% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.13 | 32% | 18 Aug → | ||
| 13–10 | 0.17 | 20% | 14 Aug → | ||
| 7–13 | 0.13 | 30% | 11 Aug → | ||
| 13–10 | 0.05 | 35% | 10 Aug → | ||
| 13–4 | 0.07 | 27% | 9 Aug → | ||
| 13–8 | -0.04 | 35% | 6 Aug → | ||
| 13–7 | 0.02 | 50% | 5 Aug → | ||
| 10–13 | 0.01 | 29% | 4 Aug → | ||
| 10–13 | 0.07 | 56% | 22 Jul → | ||
| 6–13 | -0.01 | 38% | 21 Jul → | ||
| 7–13 | 0.16 | 56% | 20 Jul → | ||
| 13–8 | 0.02 | 52% | 6 Jul → | ||
| 25–23 | 0.01 | 22% | 1 Jul → | ||
| 9–13 | -0.04 | 29% | 25 Jun → | ||
| 13–11 | 0.20 | 34% | 22 Jun → | ||
| 11–13 | 0.09 | 32% | 22 Jun → | ||
| 22–18 | -0.00 | 34% | 17 Jun → | ||
| 12–12 | 0.08 | 31% | 9 Jun → | ||
| 19–22 | 0.01 | 39% | 27 May → | ||
| 13–8 | -0.06 | 33% | 26 May → | ||
| 8–13 | -0.00 | 30% | 24 May → | ||
| 7–13 | 0.00 | 44% | 24 May → | ||
| 13–5 | 0.04 | 23% | 23 May → | ||
| 11–13 | 0.08 | 36% | 13 May → | ||
| 13–10 | -0.02 | 33% | 7 May → | ||
| 13–11 | 0.19 | 38% | 2 May → | ||
| 13–9 | 0.04 | 23% | 23 Apr → | ||
| 13–9 | 0.05 | 40% | 22 Apr → | ||
| 13–8 | 0.11 | 50% | 17 Apr → | ||
| 13–7 | 0.08 | 28% | 9 Apr → | ||
| 13–8 | 0.19 | 30% | 8 Apr → | ||
| 9–13 | 0.08 | 27% | 6 Apr → | ||
| 2–13 | -0.04 | 48% | 5 Apr → | ||
| 13–11 | 0.04 | 32% | 2 Apr → | ||
| 11–13 | 0.01 | 31% | 2 Apr → | ||
| 11–13 | -0.01 | 20% | 1 Apr → | ||
| 8–13 | 0.04 | 55% | 19 Mar → | ||
| 13–3 | -0.03 | 42% | 14 Mar → | ||
| 16–19 | -0.02 | 33% | 10 Mar → | ||
| 3–13 | -0.01 | 30% | 28 Feb → | ||
| 13–7 | 0.12 | 42% | 27 Feb → | ||
| 10–13 | -0.00 | 33% | 27 Feb → | ||
| 10–13 | 0.20 | 38% | 26 Feb → | ||
| 13–10 | 0.00 | 42% | 25 Feb → | ||
| 6–13 | -0.11 | 31% | 24 Feb → | ||
| 3–13 | 0.08 | 21% | 16 Feb → | ||
| 6–13 | 0.15 | 31% | 16 Feb → | ||
| 12–12 | 0.08 | 45% | 14 Feb → | ||
| 16–13 | 0.01 | 36% | 14 Feb → | ||
| 9–13 | -0.00 | 27% | 12 Feb → | ||
| 5–13 | -0.03 | 19% | 11 Feb → | ||
| 13–9 | 0.05 | 33% | 9 Feb → | ||
| 6–13 | -0.06 | 10% | 7 Feb → | ||
| 8–13 | 0.14 | 46% | 6 Feb → | ||
| 12–12 | 0.19 | 33% | 6 Feb → | ||
| 13–10 | 0.01 | 29% | 4 Feb → | ||
| 19–16 | -0.00 | 34% | 28 Jan → | ||
| 8–13 | 0.01 | 38% | 19 Jan → | ||
| 13–6 | 0.13 | 38% | 31 Dec → | ||
| 5–13 | 0.01 | 35% | 31 Dec → | ||
| 3–13 | -0.01 | 27% | 29 Dec → | ||
| 9–13 | -0.03 | 43% | 25 Dec → | ||
| 12–16 | 0.03 | 23% | 25 Dec → | ||
| 12–12 | 0.13 | 26% | 25 Dec → | ||
| 2–13 | 0.02 | 35% | 25 Dec → | ||
| 13–9 | 0.07 | 33% | 12 Dec → | ||
| 8–13 | -0.04 | 26% | 3 Dec → | ||
| 7–13 | 0.10 | 49% | 28 Nov → | ||
| 13–8 | 0.03 | 20% | 24 Nov → | ||
| 6–13 | 0.06 | 27% | 22 Nov → | ||
| 11–13 | 0.04 | 25% | 18 Nov → | ||
| 13–10 | 0.15 | 46% | 12 Nov → | ||
| 8–13 | 0.08 | 40% | 29 Oct → | ||
| 13–7 | 0.07 | 34% | 21 Oct → | ||
| 13–9 | 0.04 | 31% | 19 Oct → | ||
| 15–15 | 0.12 | 55% | 14 Oct → | ||
| 8–13 | 0.15 | 27% | 14 Oct → | ||
| 14–16 | 0.06 | 38% | 14 Oct → | ||
| 4–13 | -0.01 | 44% | 11 Oct → | ||
| 13–11 | 0.05 | 60% | 5 Oct → | ||
| 13–7 | 0.01 | 31% | 2 Oct → | ||
| 9–13 | 0.06 | 42% | 2 Oct → | ||
| 13–11 | 0.10 | 37% | 11 Sept → | ||
| 13–7 | 0.10 | 40% | 9 Sept → | ||
| 13–2 | 0.06 | 25% | 8 Sept → | ||
| 9–0 | 0.31 | 42% | 26 Aug → | ||
| 16–14 | -0.01 | 23% | 23 Aug → | ||
| 7–13 | 0.01 | 38% | 22 Aug → | ||
| 11–13 | 0.14 | 46% | 21 Aug → | ||
| 5–13 | -0.02 | 15% | 20 Aug → | ||
| 3–13 | -0.07 | 31% | 19 Aug → | ||
| 6–13 | 0.09 | 50% | 11 Aug → | ||
| 10–13 | 0.02 | 30% | 7 Aug → | ||
| 9–13 | -0.01 | 24% | 4 Aug → | ||
| 13–4 | -0.00 | 34% | 2 Aug → | ||
| 12–16 | 0.04 | 25% | 1 Aug → | ||
| office | 13–11 | 0.03 | 40% | 29 Jul → | |
| 16–13 | 0.05 | 37% | 29 Jul → | ||
| 13–9 | 0.02 | 40% | 29 Jul → | ||
| 13–8 | 0.11 | 37% | 28 Jul → |
Match data via Leetify.