PennyS — CS2 Stats
76561199379047044[U:1:1418781316]✓ No bans
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 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 device 89% playstyle similarity
Most alike: positioning profile, 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 94 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 65% on CT to 37% 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 6.6/10 (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 | 29 | 17–12 | 59% | 0.06 | |
| B | 24 | 13–11 | 54% | 0.08 | |
| C | 8 | 3–5 | 38% | 0.08 | |
| S | 8 | 6–2 | 75% | 0.07 | |
| C | 8 | 3–5 | 38% | 0.07 | |
| S | 6 | 4–2 | 67% | 0.15 | |
| D | 6 | 1–5 | 17% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.17 | |
| — | 4 | 1–3 | 25% | 0.07 | |
| italy | — | 1 | 0–1 | 0% | -0.06 |
| memento | — | 1 | 1–0 | 100% | 0.13 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 50% | 1.26 | 18.8 |
| Vertigo | 4 | 100% | 1.45 | 23.3 |
| Inferno | 4 | 75% | 0.91 | 13.3 |
| Ancient | 3 | 0% | 0.49 | 8.3 |
| Dust2 | 3 | 100% | 2.73 | 16.0 |
| Overpass | 2 | 50% | 1.04 | 15.5 |
| Nuke | 1 | 0% | 1.07 | 29.0 |
| Train | 1 | 0% | 0.59 | 10.0 |
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 36.5272% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.07 | 19% | 19 Mar → | ||
| 13–9 | 0.04 | 32% | 27 Feb → | ||
| 13–3 | 0.13 | 47% | 27 Feb → | ||
| 5–13 | -0.04 | 12% | 26 Aug → | ||
| 10–13 | 0.01 | 15% | 26 Aug → | ||
| 1–5 | -0.05 | 100% | 25 May → | ||
| 12–12 | 0.14 | 18% | 23 May → | ||
| 13–4 | 0.11 | 35% | 23 May → | ||
| 2–13 | -0.05 | 0% | 12 Feb → | ||
| 13–8 | -0.06 | 100% | 12 Feb → | ||
| 13–0 | -0.04 | 56% | 12 Feb → | ||
| 11–13 | -0.01 | 25% | 12 Feb → | ||
| 13–11 | 0.04 | 32% | 11 Feb → | ||
| 13–4 | 0.11 | 26% | 11 Feb → | ||
| 6–13 | -0.06 | 30% | 11 Feb → | ||
| 9–4 | 0.16 | 23% | 11 Feb → | ||
| 3–9 | -0.09 | 11% | 11 Feb → | ||
| 0–13 | 0.01 | 11% | 11 Feb → | ||
| 13–16 | -0.05 | 28% | 11 Feb → | ||
| 1–7 | 0.07 | 80% | 11 Feb → | ||
| 4–13 | 0.03 | 31% | 9 Feb → | ||
| 13–7 | 0.09 | 40% | 7 Feb → | ||
| 9–7 | 0.14 | 30% | 7 Feb → | ||
| 13–7 | 0.03 | 20% | 5 Feb → | ||
| 0–9 | -0.13 | 33% | 5 Feb → | ||
| 13–1 | -0.01 | 27% | 4 Feb → | ||
| 13–5 | 0.13 | 32% | 3 Feb → | ||
| 10–13 | 0.00 | 43% | 3 Feb → | ||
| 13–5 | 0.06 | 29% | 3 Feb → | ||
| 13–4 | 0.14 | 36% | 30 Jan → | ||
| 13–1 | 0.11 | 48% | 30 Jan → | ||
| 16–12 | 0.05 | 18% | 30 Jan → | ||
| 11–13 | 0.08 | 29% | 30 Jan → | ||
| 13–7 | 0.02 | 29% | 30 Jan → | ||
| 13–2 | 0.08 | 40% | 30 Jan → | ||
| 15–15 | -0.02 | 17% | 30 Jan → | ||
| 8–13 | 0.05 | 63% | 30 Nov → | ||
| 13–4 | 0.12 | 33% | 30 Nov → | ||
| 0–9 | -0.21 | 50% | 30 Nov → | ||
| 2–9 | -0.05 | 83% | 28 Nov → | ||
| 3–9 | -0.03 | 48% | 28 Nov → | ||
| 2–9 | -0.12 | 47% | 28 Nov → | ||
| 9–3 | 0.12 | 19% | 28 Nov → | ||
| 13–8 | 0.15 | 32% | 27 Nov → | ||
| 5–13 | 0.13 | 30% | 26 Nov → | ||
| 9–13 | 0.12 | 29% | 22 Nov → | ||
| 13–7 | 0.29 | 28% | 22 Nov → | ||
| 5–13 | 0.06 | 36% | 22 Nov → | ||
| 3–13 | 0.14 | 24% | 22 Nov → | ||
| 0–13 | -0.04 | 0% | 21 Nov → | ||
| 0–8 | -0.02 | 30% | 21 Nov → | ||
| 13–9 | 0.10 | 21% | 13 Nov → | ||
| 9–5 | 0.16 | 31% | 13 Nov → | ||
| 13–2 | 0.08 | 24% | 13 Nov → | ||
| italy | 2–13 | -0.06 | 23% | 3 Oct → | |
| 13–7 | -0.02 | 24% | 24 Sept → | ||
| 8–2 | -0.07 | 0% | 24 Sept → | ||
| 9–13 | -0.02 | 13% | 24 Sept → | ||
| 13–8 | -0.01 | 14% | 24 Sept → | ||
| 9–13 | 0.33 | 56% | 13 Sept → | ||
| 10–13 | 0.23 | 44% | 29 Aug → | ||
| 6–13 | 0.10 | 43% | 24 Aug → | ||
| 15–15 | 0.09 | 29% | 24 Aug → | ||
| 13–3 | 0.13 | 17% | 24 Aug → | ||
| 9–4 | 0.27 | 30% | 16 Aug → | ||
| 13–2 | 0.22 | 46% | 16 Aug → | ||
| 13–4 | 0.27 | 37% | 24 Jul → | ||
| 6–13 | 0.18 | 38% | 17 Jul → | ||
| 12–12 | 0.22 | 29% | 17 Jul → | ||
| 13–10 | 0.19 | 33% | 11 Jul → | ||
| 13–3 | 0.35 | 36% | 11 Jul → | ||
| 13–4 | 0.22 | 36% | 11 Jul → | ||
| 13–1 | 0.18 | 31% | 11 Jul → | ||
| 0–2 | -0.07 | 0% | 11 Jul → | ||
| 13–6 | -0.06 | 14% | 11 Jul → | ||
| 5–13 | -0.13 | 16% | 11 Jul → | ||
| 13–0 | 0.17 | 36% | 9 Jul → | ||
| 8–8 | -0.05 | 100% | 9 Jul → | ||
| 13–5 | 0.27 | 29% | 9 Jul → | ||
| 5–13 | 0.07 | 51% | 9 Jul → | ||
| 13–7 | 0.22 | 44% | 9 Jul → | ||
| 5–4 | 0.23 | 22% | 9 Jul → | ||
| 0–13 | -0.15 | 38% | 9 Jul → | ||
| 13–7 | 0.26 | 28% | 8 Jul → | ||
| 5–13 | 0.10 | 27% | 8 Jul → | ||
| 2–13 | -0.07 | 91% | 6 Jul → | ||
| 13–1 | 0.11 | 33% | 5 Jul → | ||
| 10–13 | 0.18 | 25% | 5 Jul → | ||
| 13–8 | 0.22 | 52% | 4 Jul → | ||
| 13–2 | 0.03 | 29% | 4 Jul → | ||
| 13–7 | 0.24 | 34% | 4 Jul → | ||
| 10–1 | 0.15 | 60% | 4 Jul → | ||
| 5–9 | 0.04 | 71% | 3 Jul → | ||
| 12–12 | 0.14 | 36% | 3 Jul → | ||
| 13–7 | 0.32 | 18% | 3 Jul → | ||
| 13–6 | 0.17 | 19% | 3 Jul → | ||
| 4–13 | 0.02 | 12% | 3 Jul → | ||
| memento | 9–3 | 0.13 | 31% | 3 Jul → | |
| 4–9 | 0.01 | 23% | 3 Jul → | ||
| 13–9 | 0.13 | 24% | 2 Jul → |
Match data via Leetify.