Papa Rocka — CS2 Stats
76561198200219245[U:1:239953517]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Sharp aimerStrong CT-side openerReliable in 1v1s
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 Twistzz 92% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: 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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 40 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 27% 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 6.3/10 (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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | 0.02 | |
| B | 23 | 11–12 | 48% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| S | 7 | 5–2 | 71% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.10 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 38 | 66% | 1.33 | 19.4 |
| Vertigo | 23 | 43% | 1.12 | 19.8 |
| Ancient | 18 | 44% | 1.11 | 18.4 |
| Nuke | 13 | 31% | 1.13 | 16.6 |
| Inferno | 13 | 69% | 1.13 | 16.8 |
| Anubis | 9 | 78% | 1.13 | 19.6 |
| Overpass | 6 | 83% | 1.00 | 19.0 |
| Dust2 | 3 | 33% | 1.86 | 18.7 |
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 26.9066% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.00 | 38% | 26 Aug → | ||
| 13–10 | 0.03 | 41% | 26 Aug → | ||
| 11–13 | -0.02 | 36% | 26 Aug → | ||
| 15–15 | 0.08 | 21% | 25 Aug → | ||
| 7–13 | -0.05 | 50% | 19 Aug → | ||
| 6–13 | 0.01 | 38% | 19 Aug → | ||
| 2–13 | -0.09 | 25% | 19 Aug → | ||
| 9–13 | -0.04 | 34% | 19 Aug → | ||
| 4–13 | -0.08 | 29% | 18 Aug → | ||
| 2–13 | 0.01 | 39% | 18 Aug → | ||
| 13–7 | -0.06 | 29% | 18 Aug → | ||
| 8–13 | -0.05 | 28% | 18 Aug → | ||
| 10–13 | -0.07 | 28% | 14 Aug → | ||
| 11–13 | -0.01 | 11% | 14 Aug → | ||
| 13–10 | -0.01 | 23% | 14 Aug → | ||
| 15–15 | 0.00 | 28% | 14 Aug → | ||
| 13–6 | 0.06 | 20% | 14 Aug → | ||
| 13–8 | 0.06 | 35% | 14 Aug → | ||
| 15–15 | -0.02 | 31% | 14 Aug → | ||
| 4–13 | -0.05 | 18% | 13 Aug → | ||
| 13–10 | -0.02 | 39% | 13 Aug → | ||
| 13–5 | 0.04 | 18% | 13 Aug → | ||
| 13–8 | 0.05 | 14% | 13 Aug → | ||
| 13–8 | 0.00 | 33% | 13 Aug → | ||
| 10–13 | 0.00 | 23% | 13 Aug → | ||
| 13–7 | 0.05 | 10% | 13 Aug → | ||
| 13–8 | 0.14 | 28% | 13 Aug → | ||
| 14–16 | 0.03 | 20% | 12 Aug → | ||
| 13–8 | 0.00 | 24% | 12 Aug → | ||
| 13–16 | 0.04 | 29% | 12 Aug → | ||
| 13–6 | 0.01 | 22% | 11 Aug → | ||
| 13–9 | 0.06 | 46% | 11 Aug → | ||
| 13–4 | 0.11 | 60% | 11 Aug → | ||
| 16–12 | -0.04 | 18% | 10 Aug → | ||
| 7–13 | 0.05 | 26% | 10 Aug → | ||
| 13–6 | 0.03 | 44% | 10 Aug → | ||
| 8–13 | 0.01 | 16% | 10 Aug → | ||
| 13–8 | -0.04 | 26% | 10 Aug → | ||
| 11–13 | 0.06 | 18% | 10 Aug → | ||
| 15–15 | 0.02 | 26% | 10 Aug → | ||
| 6–13 | -0.02 | 33% | 10 Aug → | ||
| 10–13 | -0.01 | 28% | 10 Aug → | ||
| 15–15 | -0.01 | 21% | 10 Aug → | ||
| 15–15 | 0.03 | 33% | 6 Aug → | ||
| 13–0 | 0.07 | 36% | 6 Aug → | ||
| 3–13 | -0.05 | 40% | 6 Aug → | ||
| 13–2 | 0.07 | 36% | 6 Aug → | ||
| 13–11 | 0.09 | 30% | 6 Aug → | ||
| 13–4 | 0.02 | 55% | 6 Aug → | ||
| 10–13 | 0.00 | 36% | 6 Aug → | ||
| 13–3 | 0.07 | 37% | 6 Aug → | ||
| 13–11 | 0.03 | 37% | 6 Aug → | ||
| 8–13 | 0.01 | 35% | 5 Aug → | ||
| 13–9 | -0.01 | 26% | 28 Jul → | ||
| 13–16 | 0.03 | 28% | 28 Jul → | ||
| 13–5 | 0.01 | 18% | 28 Jul → | ||
| 13–10 | -0.07 | 14% | 27 Jul → | ||
| 13–11 | 0.03 | 30% | 27 Jul → | ||
| 13–8 | 0.12 | 31% | 27 Jul → | ||
| 13–4 | -0.03 | 16% | 26 Jul → | ||
| 16–14 | -0.01 | 25% | 24 Jul → | ||
| 10–13 | 0.03 | 36% | 24 Jul → | ||
| 7–13 | 0.04 | 28% | 24 Jul → | ||
| 2–13 | -0.05 | 30% | 24 Jul → | ||
| 13–7 | -0.07 | 7% | 23 Jul → | ||
| 8–13 | -0.02 | 30% | 22 Jul → | ||
| 13–1 | 0.04 | 44% | 22 Jul → | ||
| 13–7 | 0.02 | 21% | 22 Jul → | ||
| 15–15 | 0.01 | 21% | 22 Jul → | ||
| 6–13 | 0.04 | 20% | 22 Jul → | ||
| 7–13 | 0.02 | 48% | 8 Jul → | ||
| 13–8 | 0.07 | 31% | 8 Jul → | ||
| 12–12 | -0.01 | 45% | 8 Jul → | ||
| 3–13 | 0.13 | 40% | 8 Jul → | ||
| 13–3 | 0.03 | 46% | 8 Jul → | ||
| 13–8 | -0.02 | 26% | 8 Jul → | ||
| 12–12 | 0.07 | 38% | 8 Jul → | ||
| 11–13 | 0.02 | 30% | 8 Jul → | ||
| 16–13 | 0.02 | 37% | 5 Jun → | ||
| 13–5 | 0.01 | 29% | 5 Jun → | ||
| 13–5 | 0.06 | 31% | 5 Jun → | ||
| 9–13 | 0.01 | 52% | 24 May → | ||
| 3–13 | 0.03 | 29% | 21 May → | ||
| 9–13 | -0.05 | 28% | 21 May → | ||
| 13–11 | -0.05 | 31% | 17 May → | ||
| 8–13 | -0.01 | 31% | 15 May → | ||
| 13–16 | 0.08 | 25% | 15 May → | ||
| 13–10 | 0.06 | 29% | 15 May → | ||
| 4–13 | 0.01 | 42% | 15 May → | ||
| 13–9 | -0.07 | 15% | 14 May → | ||
| 13–8 | -0.01 | 24% | 14 May → | ||
| 13–6 | 0.01 | 19% | 14 May → | ||
| 13–10 | 0.05 | 27% | 11 May → | ||
| 13–11 | 0.06 | 33% | 11 May → | ||
| 5–13 | 0.07 | 42% | 10 May → | ||
| 4–13 | -0.01 | 34% | 4 May → | ||
| 16–14 | 0.10 | 32% | 4 May → | ||
| 13–6 | 0.10 | 27% | 4 May → | ||
| 3–13 | 0.02 | 35% | 4 May → | ||
| 13–2 | -0.01 | 27% | 4 May → |
Match data via Leetify.