0_O — CS2 Stats
76561198149557471[U:1:189291743]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.03 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 94% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher 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 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 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 58% on CT to 42% 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 7.0/10 (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 |
|---|---|---|---|---|---|
| S | 41 | 30–11 | 73% | 0.02 | |
| A | 24 | 14–10 | 58% | 0.00 | |
| B | 19 | 9–10 | 47% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| D | 5 | 1–4 | 20% | -0.03 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1843 | 53% | 1.11 | 17.1 |
| Ancient | 772 | 52% | 1.07 | 16.4 |
| Dust2 | 719 | 53% | 1.13 | 17.3 |
| Anubis | 411 | 49% | 1.09 | 17.1 |
| Vertigo | 185 | 51% | 1.07 | 17.2 |
| Nuke | 170 | 44% | 0.97 | 16.0 |
| Inferno | 98 | 43% | 1.19 | 18.1 |
| Cache | 93 | 61% | 1.22 | 18.6 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.02 | 35% | 27 Aug → | ||
| 12–16 | 0.03 | 20% | 27 Aug → | ||
| 13–7 | 0.09 | 36% | 26 Aug → | ||
| 13–3 | 0.09 | 16% | 24 Aug → | ||
| 20–22 | -0.04 | 25% | 22 Aug → | ||
| 11–13 | -0.01 | 22% | 22 Aug → | ||
| 13–6 | -0.04 | 25% | 20 Aug → | ||
| 2–13 | -0.06 | 21% | 20 Aug → | ||
| 13–6 | 0.01 | 30% | 20 Aug → | ||
| 11–13 | -0.04 | 33% | 19 Aug → | ||
| 13–6 | -0.00 | 44% | 18 Aug → | ||
| 13–3 | 0.01 | 27% | 18 Aug → | ||
| 2–13 | -0.07 | 17% | 18 Aug → | ||
| 13–11 | -0.07 | 19% | 16 Aug → | ||
| 13–11 | 0.04 | 39% | 15 Aug → | ||
| 8–13 | -0.05 | 32% | 14 Aug → | ||
| 7–13 | -0.03 | 29% | 14 Aug → | ||
| 10–13 | -0.03 | 27% | 14 Aug → | ||
| 13–3 | -0.05 | 33% | 14 Aug → | ||
| 13–11 | -0.03 | 34% | 13 Aug → | ||
| 5–13 | -0.04 | 25% | 12 Aug → | ||
| 13–10 | 0.01 | 21% | 11 Aug → | ||
| 16–13 | 0.01 | 28% | 11 Aug → | ||
| 13–3 | -0.01 | 19% | 11 Aug → | ||
| 13–7 | 0.17 | 20% | 11 Aug → | ||
| 16–14 | 0.02 | 25% | 11 Aug → | ||
| 9–13 | -0.01 | 30% | 9 Aug → | ||
| 13–7 | -0.03 | 36% | 9 Aug → | ||
| 13–11 | 0.00 | 28% | 9 Aug → | ||
| 13–9 | 0.05 | 27% | 8 Aug → | ||
| 13–5 | 0.01 | 16% | 8 Aug → | ||
| 5–13 | 0.00 | 12% | 8 Aug → | ||
| 13–6 | -0.07 | 28% | 6 Aug → | ||
| 13–3 | 0.01 | 17% | 1 Aug → | ||
| 13–6 | 0.01 | 38% | 1 Aug → | ||
| 13–8 | -0.00 | 50% | 1 Aug → | ||
| 6–13 | -0.03 | 23% | 31 Jul → | ||
| 13–9 | 0.02 | 26% | 31 Jul → | ||
| 13–8 | 0.08 | 28% | 30 Jul → | ||
| 7–13 | -0.08 | 46% | 30 Jul → | ||
| 7–13 | -0.00 | 34% | 30 Jul → | ||
| 13–3 | 0.03 | 14% | 30 Jul → | ||
| 13–7 | 0.01 | 19% | 29 Jul → | ||
| 13–6 | 0.01 | 44% | 29 Jul → | ||
| 10–13 | -0.04 | 43% | 29 Jul → | ||
| 13–7 | -0.00 | 19% | 25 Jul → | ||
| 8–13 | 0.02 | 20% | 24 Jul → | ||
| 13–8 | 0.09 | 27% | 24 Jul → | ||
| 13–8 | 0.11 | 21% | 24 Jul → | ||
| 13–10 | 0.08 | 35% | 23 Jul → | ||
| 13–6 | 0.02 | 33% | 23 Jul → | ||
| 10–13 | -0.01 | 33% | 22 Jul → | ||
| 10–13 | 0.03 | 17% | 22 Jul → | ||
| 3–13 | -0.00 | 19% | 22 Jul → | ||
| 13–9 | 0.07 | 24% | 21 Jul → | ||
| 13–4 | 0.09 | 38% | 19 Jul → | ||
| 25–21 | -0.04 | 30% | 19 Jul → | ||
| 13–10 | 0.04 | 26% | 18 Jul → | ||
| 13–8 | 0.10 | 35% | 18 Jul → | ||
| 11–13 | 0.04 | 24% | 18 Jul → | ||
| 10–13 | -0.01 | 18% | 18 Jul → | ||
| 13–10 | -0.01 | 38% | 18 Jul → | ||
| 3–13 | 0.00 | 30% | 17 Jul → | ||
| 8–13 | 0.01 | 29% | 17 Jul → | ||
| 10–13 | -0.03 | 29% | 15 Jul → | ||
| 13–11 | 0.04 | 17% | 12 Jul → | ||
| 13–11 | -0.01 | 15% | 12 Jul → | ||
| 13–8 | 0.10 | 30% | 11 Jul → | ||
| 13–4 | 0.09 | 29% | 11 Jul → | ||
| 13–9 | 0.03 | 23% | 11 Jul → | ||
| 13–8 | 0.05 | 15% | 10 Jul → | ||
| 13–10 | -0.03 | 23% | 4 Jul → | ||
| 11–13 | -0.00 | 26% | 4 Jul → | ||
| 16–13 | 0.03 | 22% | 4 Jul → | ||
| 7–13 | -0.01 | 23% | 3 Jul → | ||
| 4–13 | 0.04 | 33% | 3 Jul → | ||
| 10–13 | -0.02 | 23% | 3 Jul → | ||
| 1–13 | 0.01 | 44% | 28 Jun → | ||
| 10–13 | 0.06 | 35% | 28 Jun → | ||
| 13–8 | -0.04 | 18% | 27 Jun → | ||
| 4–13 | -0.09 | 25% | 26 Jun → | ||
| 5–13 | 0.03 | 20% | 26 Jun → | ||
| 13–11 | 0.07 | 36% | 26 Jun → | ||
| 13–16 | 0.01 | 22% | 26 Jun → | ||
| 13–1 | 0.14 | 61% | 26 Jun → | ||
| 11–13 | -0.03 | 27% | 26 Jun → | ||
| 13–3 | 0.18 | 31% | 26 Jun → | ||
| 10–13 | -0.03 | 36% | 21 Jun → | ||
| 16–14 | 0.01 | 25% | 21 Jun → | ||
| 6–13 | 0.01 | 35% | 20 Jun → | ||
| 19–17 | 0.02 | 32% | 20 Jun → | ||
| 13–3 | 0.19 | 51% | 20 Jun → | ||
| 14–16 | 0.02 | 20% | 20 Jun → | ||
| 13–10 | -0.01 | 23% | 15 Jun → | ||
| 13–6 | 0.02 | 29% | 14 Jun → | ||
| 13–1 | 0.06 | 14% | 14 Jun → | ||
| 13–0 | 0.08 | 13% | 14 Jun → | ||
| 13–11 | -0.03 | 22% | 13 Jun → | ||
| 4–13 | -0.08 | 23% | 13 Jun → | ||
| 13–10 | 0.03 | 30% | 13 Jun → |
Match data via Leetify.