PENE — CS2 Stats
76561199131205293[U:1:1170939565]
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 55.8% | 44.9% | 46.2% | above |
| Shot accuracy | 8.7% | 11.8% | 12.5% | 3.8% short |
| Kill/death ratio | 1.16 | 1.04 | 1.06 | above |
| Match win rate | 46.5% | 45.3% | 45.9% | meets |
This profile matches the typical Level 7 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Excellent counter-strafing
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 sh1ro 88% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Strengths
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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. 587ms 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 7.0/10 (Strong), 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 | 27 | 14–13 | 52% | 0.05 | |
| office | B | 19 | 9–10 | 47% | 0.01 |
| B | 13 | 7–6 | 54% | 0.01 | |
| D | 12 | 4–8 | 33% | 0.05 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 37 | 68% | 1.58 | 20.5 |
| Dust2 | 36 | 44% | 1.40 | 18.5 |
| Inferno | 27 | 52% | 1.47 | 20.0 |
| Ancient | 25 | 40% | 1.35 | 20.0 |
| Mirage | 14 | 64% | 1.43 | 19.4 |
| Anubis | 14 | 43% | 1.21 | 17.3 |
| Vertigo | 11 | 45% | 1.26 | 17.6 |
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.
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 | |
|---|---|---|---|---|---|
| office | 5–13 | -0.00 | 22% | 28 Aug → | |
| 10–13 | 0.00 | 27% | 28 Aug → | ||
| 13–3 | 0.08 | 34% | 28 Aug → | ||
| 13–7 | 0.12 | 26% | 28 Aug → | ||
| 13–7 | 0.05 | 19% | 28 Aug → | ||
| 10–13 | 0.04 | 17% | 27 Aug → | ||
| 5–13 | 0.02 | 25% | 27 Aug → | ||
| 10–13 | 0.01 | 39% | 27 Aug → | ||
| 13–16 | 0.00 | 31% | 27 Aug → | ||
| 13–5 | 0.13 | 34% | 27 Aug → | ||
| 13–9 | -0.01 | 37% | 27 Aug → | ||
| 13–10 | 0.12 | 33% | 26 Aug → | ||
| 13–3 | 0.03 | 23% | 25 Aug → | ||
| 13–2 | 0.07 | 27% | 25 Aug → | ||
| office | 13–3 | 0.04 | 21% | 25 Aug → | |
| 9–13 | 0.06 | 24% | 25 Aug → | ||
| 13–2 | 0.11 | 22% | 25 Aug → | ||
| 9–13 | -0.03 | 13% | 24 Aug → | ||
| 13–5 | 0.09 | 31% | 24 Aug → | ||
| 13–10 | 0.08 | 22% | 24 Aug → | ||
| 8–13 | -0.02 | 22% | 24 Aug → | ||
| office | 13–8 | -0.01 | 31% | 24 Aug → | |
| 9–13 | 0.02 | 42% | 21 Aug → | ||
| 13–11 | 0.00 | 20% | 21 Aug → | ||
| 8–13 | 0.03 | 25% | 21 Aug → | ||
| 13–5 | 0.00 | 24% | 21 Aug → | ||
| 13–6 | 0.03 | 21% | 18 Aug → | ||
| 12–12 | 0.05 | 27% | 18 Aug → | ||
| 11–13 | -0.06 | 14% | 17 Aug → | ||
| office | 8–13 | -0.00 | 30% | 14 Aug → | |
| 9–13 | 0.10 | 39% | 14 Aug → | ||
| 13–9 | 0.01 | 24% | 14 Aug → | ||
| 10–13 | 0.05 | 15% | 14 Aug → | ||
| office | 7–11 | -0.03 | 16% | 13 Aug → | |
| 15–15 | 0.05 | 19% | 13 Aug → | ||
| 13–6 | 0.02 | 18% | 13 Aug → | ||
| 13–10 | 0.08 | 27% | 11 Aug → | ||
| 13–2 | -0.01 | 25% | 11 Aug → | ||
| 3–10 | -0.05 | 15% | 9 Aug → | ||
| office | 5–10 | -0.03 | 31% | 8 Aug → | |
| 13–8 | -0.02 | 18% | 4 Aug → | ||
| 10–13 | 0.05 | 14% | 4 Aug → | ||
| 13–8 | 0.08 | 37% | 3 Aug → | ||
| 13–4 | 0.12 | 30% | 29 Jul → | ||
| office | 9–13 | -0.04 | 32% | 28 Jul → | |
| office | 9–13 | -0.03 | 24% | 27 Jul → | |
| 10–13 | 0.00 | 18% | 26 Jul → | ||
| 8–13 | 0.02 | 23% | 26 Jul → | ||
| office | 13–8 | 0.04 | 42% | 26 Jul → | |
| 3–13 | -0.03 | 42% | 25 Jul → | ||
| 16–14 | -0.01 | 19% | 24 Jul → | ||
| 13–6 | 0.08 | 26% | 24 Jul → | ||
| 13–11 | -0.04 | 23% | 24 Jul → | ||
| 13–4 | 0.02 | 24% | 24 Jul → | ||
| office | 5–13 | -0.04 | 38% | 24 Jul → | |
| 14–16 | 0.02 | 22% | 23 Jul → | ||
| 8–13 | -0.03 | 21% | 23 Jul → | ||
| 13–11 | -0.02 | 43% | 23 Jul → | ||
| 13–6 | 0.08 | 27% | 23 Jul → | ||
| 14–16 | 0.06 | 31% | 23 Jul → | ||
| 13–9 | 0.02 | 33% | 23 Jul → | ||
| 5–13 | -0.01 | 19% | 23 Jul → | ||
| office | 13–8 | 0.08 | 25% | 23 Jul → | |
| 16–14 | -0.04 | 12% | 22 Jul → | ||
| 13–9 | 0.12 | 23% | 22 Jul → | ||
| 11–13 | 0.02 | 32% | 22 Jul → | ||
| 11–13 | 0.03 | 35% | 16 Jul → | ||
| 7–13 | 0.06 | 36% | 16 Jul → | ||
| office | 13–11 | 0.06 | 34% | 16 Jul → | |
| office | 3–9 | 0.02 | 67% | 16 Jul → | |
| 13–9 | 0.11 | 31% | 10 Jul → | ||
| 13–9 | 0.01 | 26% | 10 Jul → | ||
| office | 12–12 | 0.03 | 28% | 9 Jul → | |
| 3–13 | -0.01 | 21% | 9 Jul → | ||
| 4–13 | -0.06 | 19% | 8 Jul → | ||
| office | 7–13 | 0.06 | 28% | 8 Jul → | |
| 7–13 | -0.01 | 37% | 8 Jul → | ||
| 13–6 | 0.10 | 27% | 7 Jul → | ||
| 3–13 | -0.04 | 22% | 7 Jul → | ||
| 12–12 | 0.07 | 22% | 6 Jul → | ||
| 5–13 | 0.02 | 17% | 6 Jul → | ||
| 13–4 | 0.07 | 35% | 6 Jul → | ||
| 13–3 | 0.14 | 43% | 6 Jul → | ||
| office | 13–5 | 0.04 | 35% | 3 Jul → | |
| office | 13–11 | -0.01 | 39% | 2 Jul → | |
| 2–13 | -0.10 | 17% | 1 Jul → | ||
| 13–10 | 0.03 | 25% | 1 Jul → | ||
| 3–7 | -0.03 | 29% | 1 Jul → | ||
| 1–2 | 0.03 | 42% | 1 Jul → | ||
| 9–13 | 0.02 | 30% | 1 Jul → | ||
| 13–11 | -0.04 | 28% | 30 Jun → | ||
| 13–4 | 0.18 | 28% | 30 Jun → | ||
| 13–7 | -0.01 | 24% | 30 Jun → | ||
| 9–5 | -0.13 | 18% | 30 Jun → | ||
| office | 13–10 | -0.05 | 39% | 30 Jun → | |
| 7–13 | 0.02 | 27% | 27 Jun → | ||
| 13–3 | -0.06 | 34% | 27 Jun → | ||
| 15–15 | 0.04 | 16% | 27 Jun → | ||
| 5–13 | -0.05 | 13% | 27 Jun → | ||
| office | 13–9 | 0.09 | 36% | 27 Jun → |
Match data via Leetify.