p0werking — CS2 Stats
76561198085413587[U:1:125147859]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 59.6% | 52.8% |
| Shot accuracy | 16.2% | 13.7% |
| Kill/death ratio | 0.94 | 1.08 |
| Match win rate | 49.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 donk 94% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 91 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 59% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 551ms 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 7.3/10 (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 | 19 | 9–10 | 47% | 0.04 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| A | 13 | 8–5 | 62% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| D | 7 | 2–5 | 29% | -0.00 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| D | 5 | 0–5 | 0% | -0.00 | |
| — | 4 | 0–4 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 149 | 55% | 1.41 | 21.1 |
| Nuke | 54 | 56% | 1.39 | 19.4 |
| Vertigo | 52 | 62% | 1.42 | 18.5 |
| Anubis | 42 | 57% | 1.29 | 19.7 |
| Inferno | 33 | 52% | 1.40 | 19.8 |
| Dust2 | 13 | 77% | 1.08 | 15.2 |
| Mirage | 10 | 60% | 1.05 | 14.0 |
| Train | 8 | 75% | 1.62 | 22.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.09 | 27% | 22 Aug → | ||
| 11–13 | -0.00 | 27% | 21 Aug → | ||
| 13–9 | 0.01 | 29% | 21 Aug → | ||
| 13–7 | 0.06 | 20% | 21 Aug → | ||
| 11–13 | 0.02 | 29% | 21 Aug → | ||
| 13–9 | 0.12 | 34% | 21 Aug → | ||
| 19–15 | 0.06 | 27% | 21 Aug → | ||
| 10–13 | 0.04 | 38% | 21 Aug → | ||
| 13–5 | 0.10 | 26% | 21 Aug → | ||
| 12–16 | 0.02 | 34% | 21 Aug → | ||
| 13–8 | 0.02 | 38% | 20 Aug → | ||
| 8–13 | -0.04 | 30% | 20 Aug → | ||
| 13–7 | 0.05 | 19% | 18 Aug → | ||
| 13–5 | 0.06 | 32% | 14 Aug → | ||
| 4–13 | 0.06 | 33% | 14 Aug → | ||
| 13–8 | 0.03 | 30% | 14 Aug → | ||
| 13–5 | 0.05 | 13% | 9 Aug → | ||
| 14–16 | 0.03 | 28% | 9 Aug → | ||
| 13–4 | 0.05 | 21% | 8 Aug → | ||
| 8–13 | 0.01 | 36% | 8 Aug → | ||
| 13–5 | 0.07 | 16% | 8 Aug → | ||
| 7–13 | -0.01 | 30% | 1 Aug → | ||
| 16–13 | -0.03 | 20% | 1 Aug → | ||
| 13–10 | 0.00 | 16% | 1 Aug → | ||
| 4–13 | -0.05 | 34% | 1 Aug → | ||
| 10–13 | -0.01 | 43% | 1 Aug → | ||
| 10–13 | -0.02 | 30% | 1 Aug → | ||
| 13–8 | 0.07 | 35% | 31 Jul → | ||
| 13–8 | -0.03 | 21% | 26 Jul → | ||
| 13–8 | -0.01 | 30% | 26 Jul → | ||
| 13–9 | 0.07 | 33% | 26 Jul → | ||
| 11–13 | 0.04 | 30% | 26 Jul → | ||
| 9–13 | 0.05 | 31% | 26 Jul → | ||
| 7–13 | -0.03 | 22% | 26 Jul → | ||
| 13–5 | 0.06 | 34% | 26 Jul → | ||
| 5–13 | 0.01 | 25% | 26 Jul → | ||
| 13–9 | 0.05 | 35% | 26 Jul → | ||
| 8–13 | -0.07 | 22% | 25 Jul → | ||
| 8–13 | -0.07 | 27% | 25 Jul → | ||
| 16–14 | -0.02 | 29% | 25 Jul → | ||
| 13–11 | 0.01 | 24% | 25 Jul → | ||
| 19–16 | 0.02 | 32% | 25 Jul → | ||
| 11–13 | 0.02 | 25% | 25 Jul → | ||
| 13–10 | 0.08 | 45% | 25 Jul → | ||
| 13–10 | 0.04 | 31% | 10 Jul → | ||
| 9–13 | 0.05 | 40% | 10 Jul → | ||
| 9–13 | 0.03 | 27% | 10 Jul → | ||
| 11–13 | -0.02 | 22% | 10 Jul → | ||
| 13–6 | 0.09 | 23% | 10 Jul → | ||
| 13–9 | 0.01 | 20% | 10 Jul → | ||
| 8–13 | -0.00 | 21% | 10 Jul → | ||
| 11–13 | 0.02 | 38% | 19 Jun → | ||
| 13–10 | 0.08 | 29% | 14 Jun → | ||
| 10–13 | 0.10 | 30% | 14 Jun → | ||
| 13–16 | -0.01 | 38% | 14 Jun → | ||
| 13–5 | 0.06 | 31% | 13 Jun → | ||
| 11–13 | 0.01 | 30% | 13 Jun → | ||
| 10–13 | 0.04 | 40% | 13 Jun → | ||
| 13–7 | 0.07 | 25% | 13 Jun → | ||
| 7–13 | -0.00 | 38% | 12 Jun → | ||
| 6–13 | 0.01 | 31% | 12 Jun → | ||
| 5–13 | -0.03 | 36% | 12 Jun → | ||
| 12–16 | -0.06 | 20% | 12 Jun → | ||
| 6–13 | -0.00 | 34% | 6 Jun → | ||
| 3–13 | -0.01 | 30% | 6 Jun → | ||
| 7–13 | -0.07 | 37% | 6 Jun → | ||
| 13–7 | 0.05 | 40% | 6 Jun → | ||
| 13–11 | -0.02 | 11% | 6 Jun → | ||
| 11–13 | 0.02 | 17% | 6 Jun → | ||
| 13–11 | -0.01 | 21% | 23 May → | ||
| 16–13 | 0.03 | 35% | 22 May → | ||
| 13–4 | 0.07 | 21% | 14 May → | ||
| 11–13 | 0.01 | 19% | 14 May → | ||
| 7–13 | 0.02 | 30% | 14 May → | ||
| 13–3 | 0.17 | 21% | 14 May → | ||
| 16–13 | -0.01 | 24% | 14 May → | ||
| 13–8 | -0.01 | 20% | 13 May → | ||
| 13–8 | 0.05 | 36% | 13 May → | ||
| 13–6 | 0.11 | 26% | 13 May → | ||
| 10–13 | 0.03 | 33% | 13 May → | ||
| 13–2 | 0.10 | 23% | 11 May → | ||
| 10–13 | 0.05 | 34% | 11 May → | ||
| 13–7 | 0.04 | 17% | 10 May → | ||
| 10–13 | 0.02 | 23% | 10 May → | ||
| 13–8 | 0.03 | 24% | 9 May → | ||
| 13–8 | 0.02 | 39% | 9 May → | ||
| 13–7 | 0.03 | 25% | 9 May → | ||
| 10–13 | 0.01 | 39% | 9 May → | ||
| 6–13 | -0.02 | 9% | 9 May → | ||
| 8–13 | -0.05 | 28% | 9 May → | ||
| 13–11 | 0.03 | 24% | 8 May → | ||
| 9–13 | -0.02 | 13% | 8 May → | ||
| 14–16 | 0.04 | 24% | 8 May → | ||
| 13–10 | 0.05 | 24% | 8 May → | ||
| 13–5 | -0.03 | 31% | 8 May → | ||
| 10–13 | 0.02 | 33% | 8 May → | ||
| 16–14 | 0.04 | 23% | 8 May → | ||
| 6–13 | -0.04 | 32% | 25 Apr → | ||
| 12–16 | 0.04 | 37% | 25 Apr → | ||
| 13–11 | 0.08 | 31% | 25 Apr → |
Match data via Leetify.