p0gs — CS2 Stats
US76561197961027607[U:1:761879]Steam profile ↗VAC banned
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 51.6% | 47.0% | 48.5% | above |
| Shot accuracy | 18.0% | 12.7% | 13.3% | above |
| Kill/death ratio | 0.92 | 1.07 | 1.07 | 0.15 short |
| Match win rate | 48.7% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 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: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 Twistzz 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim 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
Areas to improve
T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 620ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 cache | C | 37 | 16–21 | 43% | 0.02 |
 dust2 | C | 16 | 7–9 | 44% | -0.01 |
 nuke | A | 11 | 6–5 | 55% | 0.00 |
 mirage | C | 9 | 4–5 | 44% | -0.00 |
 train | B | 6 | 3–3 | 50% | 0.03 |
 vertigo | A | 5 | 3–2 | 60% | 0.01 |
 inferno | D | 5 | 1–4 | 20% | 0.00 |
 overpass | — | 4 | 3–1 | 75% | 0.01 |
 ancient | — | 3 | 2–1 | 67% | 0.00 |
 anubis | — | 2 | 1–1 | 50% | -0.04 |
| office | — | 1 | 0–1 | 0% | -0.06 |
| alpine | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 118 | 51% | 1.01 | 14.5 |
| Anubis | 97 | 45% | 0.93 | 14.2 |
| Dust2 | 79 | 57% | 1.10 | 15.0 |
| Inferno | 74 | 47% | 0.95 | 14.2 |
| Ancient | 71 | 41% | 0.91 | 14.7 |
| Vertigo | 31 | 48% | 1.03 | 16.1 |
| Nuke | 28 | 46% | 0.98 | 16.1 |
| Train | 12 | 75% | 1.14 | 15.3 |
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 30.4871% — 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.
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 | |
|---|---|---|---|---|---|
| cache | 11–13 | 0.12 | 25% | 30 Aug → | |
| cache | 4–13 | -0.01 | 29% | 26 Aug → | |
| vertigo | 10–13 | -0.05 | 26% | 23 Aug → | |
| cache | 13–3 | 0.11 | 27% | 15 Jul → | |
| dust2 | 7–13 | -0.03 | 18% | 15 Jul → | |
| overpass | 13–10 | 0.06 | 15% | 12 Jul → | |
| dust2 | 9–13 | 0.09 | 13% | 12 Jul → | |
| nuke | 10–13 | -0.02 | 26% | 12 Jul → | |
| vertigo | 13–11 | 0.04 | 21% | 12 Jul → | |
| office | 10–13 | -0.06 | 33% | 11 Jul → | |
| cache | 12–12 | 0.02 | 18% | 11 Jul → | |
| ancient | 13–8 | 0.00 | 14% | 11 Jul → | |
| inferno | 13–5 | 0.08 | 36% | 11 Jul → | |
| train | 13–6 | 0.02 | 17% | 11 Jul → | |
| vertigo | 3–13 | 0.02 | 25% | 11 Jul → | |
| cache | 2–4 | -0.00 | 17% | 11 Jul → | |
| dust2 | 13–9 | 0.03 | 19% | 11 Jul → | |
| cache | 13–7 | -0.01 | 15% | 11 Jul → | |
| mirage | 7–13 | -0.01 | 25% | 11 Jul → | |
| cache | 4–13 | 0.06 | 13% | 8 Jul → | |
| mirage | 7–13 | -0.01 | 41% | 3 Jul → | |
| overpass | 10–13 | 0.00 | 17% | 3 Jul → | |
| mirage | 13–0 | -0.04 | 11% | 1 Jul → | |
| cache | 2–13 | 0.01 | 16% | 1 Jul → | |
| cache | 7–13 | -0.04 | 18% | 29 Jun → | |
| train | 9–13 | -0.01 | 22% | 29 Jun → | |
| nuke | 13–7 | -0.02 | 18% | 29 Jun → | |
| dust2 | 2–13 | -0.01 | 10% | 26 Jun → | |
| dust2 | 13–8 | -0.03 | 18% | 25 Jun → | |
| cache | 13–2 | 0.09 | 29% | 25 Jun → | |
| inferno | 5–9 | 0.05 | 17% | 25 Jun → | |
| train | 13–3 | 0.12 | 22% | 23 Jun → | |
| vertigo | 13–7 | 0.05 | 39% | 22 Jun → | |
| nuke | 13–5 | 0.01 | 36% | 22 Jun → | |
| train | 13–6 | -0.02 | 34% | 22 Jun → | |
| cache | 13–11 | 0.05 | 19% | 21 Jun → | |
| dust2 | 13–11 | -0.03 | 23% | 16 Jun → | |
| cache | 13–6 | -0.02 | 20% | 16 Jun → | |
| cache | 13–3 | 0.08 | 18% | 16 Jun → | |
| dust2 | 13–6 | 0.01 | 14% | 16 Jun → | |
| mirage | 13–9 | 0.02 | 15% | 15 Jun → | |
| cache | 13–4 | 0.05 | 15% | 14 Jun → | |
| anubis | 12–16 | -0.04 | 16% | 6 Jun → | |
| nuke | 2–9 | -0.10 | 24% | 6 Jun → | |
| cache | 10–13 | 0.04 | 16% | 5 Jun → | |
| cache | 12–12 | 0.01 | 40% | 3 Jun → | |
| cache | 8–13 | 0.01 | 19% | 3 Jun → | |
| nuke | 13–9 | 0.02 | 21% | 1 Jun → | |
| nuke | 13–5 | 0.03 | 24% | 25 May → | |
| dust2 | 5–13 | -0.00 | 23% | 24 May → | |
| inferno | 11–13 | -0.08 | 8% | 23 May → | |
| dust2 | 13–11 | 0.04 | 22% | 23 May → | |
| cache | 13–6 | -0.01 | 26% | 23 May → | |
| cache | 13–1 | 0.08 | 33% | 23 May → | |
| cache | 1–5 | 0.09 | 35% | 23 May → | |
| overpass | 13–9 | -0.01 | 29% | 22 May → | |
| nuke | 13–7 | 0.07 | 34% | 22 May → | |
| cache | 8–13 | -0.08 | 20% | 21 May → | |
| cache | 13–9 | 0.01 | 19% | 20 May → | |
| dust2 | 13–11 | -0.03 | 20% | 19 May → | |
| mirage | 13–9 | 0.02 | 19% | 19 May → | |
| inferno | 4–13 | -0.00 | 28% | 19 May → | |
| anubis | 13–11 | -0.04 | 23% | 19 May → | |
| mirage | 5–13 | -0.04 | 19% | 18 May → | |
| ancient | 11–9 | -0.03 | 20% | 18 May → | |
| overpass | 13–9 | -0.01 | 19% | 18 May → | |
| nuke | 13–9 | 0.00 | 30% | 18 May → | |
| cache | 13–5 | 0.02 | 11% | 18 May → | |
| mirage | 13–4 | 0.11 | 20% | 18 May → | |
| ancient | 15–15 | 0.04 | 29% | 18 May → | |
| dust2 | 8–13 | -0.05 | 12% | 18 May → | |
| nuke | 8–8 | 0.07 | 19% | 17 May → | |
| inferno | 4–13 | -0.02 | 18% | 17 May → | |
| train | 12–12 | -0.04 | 20% | 17 May → | |
| cache | 13–9 | -0.02 | 15% | 16 May → | |
| dust2 | 12–12 | -0.02 | 17% | 15 May → | |
| mirage | 12–12 | -0.02 | 26% | 15 May → | |
| dust2 | 1–13 | -0.05 | 31% | 14 May → | |
| dust2 | 13–10 | -0.01 | 10% | 13 May → | |
| dust2 | 12–12 | 0.03 | 22% | 13 May → | |
| cache | 5–13 | -0.01 | 31% | 13 May → | |
| nuke | 3–7 | -0.04 | 24% | 12 May → | |
| cache | 12–12 | 0.03 | 9% | 12 May → | |
| cache | 12–12 | -0.00 | 29% | 9 May → | |
| cache | 6–13 | -0.02 | 25% | 5 May → | |
| cache | 13–3 | -0.06 | 3% | 4 May → | |
| cache | 13–2 | 0.08 | 50% | 4 May → | |
| cache | 13–7 | 0.05 | 17% | 4 May → | |
| nuke | 9–13 | 0.02 | 23% | 3 May → | |
| vertigo | 13–11 | 0.01 | 24% | 3 May → | |
| cache | 9–13 | 0.13 | 15% | 3 May → | |
| cache | 2–13 | -0.06 | 30% | 3 May → | |
| cache | 13–9 | -0.02 | 19% | 3 May → | |
| cache | 12–12 | 0.07 | 29% | 3 May → | |
| cache | 7–13 | -0.00 | 33% | 2 May → | |
| cache | 9–13 | 0.09 | 21% | 1 May → | |
| mirage | 3–13 | -0.04 | 29% | 27 Apr → | |
| dust2 | 9–13 | -0.02 | 21% | 27 Apr → | |
| train | 8–13 | 0.10 | 24% | 26 Apr → | |
| alpine | 3–13 | -0.03 | 14% | 26 Apr → |
Match data via Leetify.
