PHENOMENAL BLACK WOMAN GAMING — CS2 Stats
76561198160895085[U:1:200629357]Steam profile ↗
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 38.2% | 42.2% | 42.7% | 4.5% short |
| Shot accuracy | 16.5% | 11.9% | 10.8% | above |
| Kill/death ratio | 0.95 | 0.98 | 1.00 | 0.05 short |
| Match win rate | 34.2% | 43.6% | 44.1% | 9.9% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 4 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 · -0.02 avg rating
Player DNA
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 ropz 80% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
Reaction time. 683ms 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 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 nuke | A | 20 | 11–9 | 55% | 0.00 |
 ancient | S | 16 | 11–5 | 69% | 0.02 |
 mirage | A | 15 | 9–6 | 60% | 0.03 |
 cache | D | 12 | 4–8 | 33% | -0.02 |
 overpass | S | 12 | 9–3 | 75% | 0.04 |
 dust2 | A | 10 | 6–4 | 60% | 0.01 |
 inferno | S | 7 | 6–1 | 86% | -0.00 |
 anubis | S | 6 | 4–2 | 67% | 0.01 |
 train | — | 2 | 1–1 | 50% | -0.04 |
Across the last 100 tracked matches.
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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 100% | 0.79 | 15.0 |
| Inferno | 1 | 100% | 2.17 | 13.0 |
| Mirage | 1 | 100% | 1.08 | 28.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0046° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2777% — below the 15% 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 | |
|---|---|---|---|---|---|
| mirage | 13–16 | 0.02 | 13% | 16 Aug → | |
| nuke | 13–9 | -0.06 | 25% | 16 Aug → | |
| anubis | 13–7 | -0.04 | 13% | 16 Aug → | |
| ancient | 13–3 | 0.05 | 13% | 16 Aug → | |
| mirage | 13–6 | 0.05 | 7% | 15 Aug → | |
| cache | 4–13 | -0.02 | 13% | 15 Aug → | |
| dust2 | 10–2 | 0.04 | 17% | 15 Aug → | |
| dust2 | 13–5 | 0.00 | 13% | 15 Aug → | |
| nuke | 5–13 | 0.02 | 15% | 15 Aug → | |
| cache | 3–13 | -0.07 | 13% | 2 Aug → | |
| anubis | 13–6 | 0.07 | 42% | 2 Aug → | |
| nuke | 13–5 | -0.01 | 4% | 2 Aug → | |
| mirage | 13–7 | 0.00 | 0% | 9 Jul → | |
| mirage | 9–13 | -0.01 | 14% | 7 Jul → | |
| dust2 | 7–2 | 0.05 | 21% | 7 Jul → | |
| nuke | 13–7 | 0.07 | 22% | 7 Jul → | |
| cache | 7–13 | -0.03 | 17% | 7 Jul → | |
| inferno | 13–4 | -0.02 | 8% | 31 May → | |
| inferno | 13–1 | -0.05 | 7% | 31 May → | |
| ancient | 13–5 | 0.17 | 18% | 31 May → | |
| overpass | 10–13 | 0.04 | 27% | 30 May → | |
| dust2 | 13–3 | 0.09 | 4% | 30 May → | |
| ancient | 13–8 | 0.04 | 15% | 30 May → | |
| cache | 13–11 | 0.04 | 11% | 25 May → | |
| mirage | 13–11 | 0.05 | 5% | 25 May → | |
| dust2 | 13–11 | -0.02 | 8% | 25 May → | |
| cache | 13–3 | -0.05 | 7% | 25 May → | |
| ancient | 13–5 | 0.12 | 13% | 25 May → | |
| mirage | 14–16 | -0.02 | 12% | 16 May → | |
| nuke | 6–13 | -0.05 | 6% | 16 May → | |
| anubis | 7–13 | -0.02 | 17% | 16 May → | |
| cache | 7–13 | -0.06 | 10% | 16 May → | |
| anubis | 13–10 | 0.02 | 14% | 9 May → | |
| overpass | 13–5 | 0.03 | 9% | 9 May → | |
| cache | 4–13 | -0.05 | 9% | 9 May → | |
| cache | 12–12 | 0.03 | 18% | 9 May → | |
| cache | 1–13 | -0.05 | 17% | 9 May → | |
| cache | 3–11 | -0.01 | 7% | 7 May → | |
| cache | 13–8 | 0.02 | 11% | 7 May → | |
| cache | 13–2 | 0.06 | 21% | 7 May → | |
| mirage | 13–16 | 0.01 | 11% | 21 Feb → | |
| overpass | 13–7 | 0.00 | 22% | 21 Feb → | |
| ancient | 13–7 | 0.03 | 13% | 21 Feb → | |
| mirage | 8–13 | 0.06 | 22% | 21 Feb → | |
| dust2 | 14–16 | -0.02 | 19% | 1 Feb → | |
| nuke | 2–13 | -0.10 | 11% | 1 Feb → | |
| overpass | 16–13 | 0.03 | 10% | 31 Jan → | |
| nuke | 4–13 | 0.01 | 18% | 31 Jan → | |
| overpass | 13–5 | 0.11 | 14% | 24 Dec → | |
| overpass | 13–8 | -0.03 | 7% | 21 Dec → | |
| ancient | 13–11 | -0.03 | 19% | 17 Dec → | |
| nuke | 13–8 | 0.01 | 24% | 17 Dec → | |
| dust2 | 13–6 | -0.05 | 14% | 17 Dec → | |
| mirage | 13–2 | 0.07 | 16% | 17 Dec → | |
| overpass | 13–11 | 0.01 | 11% | 16 Dec → | |
| overpass | 13–7 | 0.00 | 14% | 12 Dec → | |
| ancient | 13–2 | 0.09 | 22% | 12 Dec → | |
| nuke | 13–7 | 0.07 | 14% | 11 Dec → | |
| overpass | 11–13 | -0.03 | 12% | 11 Dec → | |
| mirage | 13–10 | -0.01 | 13% | 6 Dec → | |
| inferno | 13–9 | -0.00 | 14% | 6 Dec → | |
| train | 9–13 | -0.05 | 15% | 29 Nov → | |
| overpass | 13–8 | 0.08 | 12% | 29 Nov → | |
| nuke | 13–2 | 0.05 | 9% | 29 Nov → | |
| ancient | 13–7 | -0.04 | 7% | 29 Nov → | |
| mirage | 13–1 | 0.15 | 10% | 29 Nov → | |
| overpass | 13–2 | 0.29 | 27% | 29 Nov → | |
| nuke | 14–16 | -0.01 | 10% | 26 Nov → | |
| inferno | 11–13 | 0.04 | 12% | 26 Nov → | |
| nuke | 10–13 | 0.01 | 12% | 22 Nov → | |
| ancient | 13–16 | 0.01 | 12% | 28 Sept → | |
| inferno | 16–14 | 0.01 | 10% | 28 Sept → | |
| dust2 | 2–13 | 0.03 | 26% | 28 Sept → | |
| nuke | 13–8 | -0.01 | 18% | 28 Sept → | |
| mirage | 13–4 | 0.09 | 17% | 28 Sept → | |
| overpass | 2–13 | -0.05 | 13% | 27 Sept → | |
| inferno | 13–8 | -0.00 | 20% | 27 Sept → | |
| dust2 | 8–13 | -0.02 | 3% | 27 Sept → | |
| ancient | 6–13 | -0.05 | 8% | 27 Sept → | |
| mirage | 13–8 | -0.00 | 12% | 27 Sept → | |
| nuke | 4–13 | -0.04 | 5% | 27 Sept → | |
| nuke | 5–13 | -0.05 | 11% | 16 Aug → | |
| ancient | 10–13 | -0.04 | 18% | 16 Aug → | |
| nuke | 13–10 | 0.06 | 8% | 16 Aug → | |
| mirage | 15–15 | 0.01 | 14% | 19 Jul → | |
| ancient | 13–9 | -0.01 | 12% | 19 Jul → | |
| nuke | 10–13 | -0.00 | 10% | 19 Jul → | |
| mirage | 13–10 | -0.01 | 8% | 12 Jul → | |
| anubis | 6–13 | 0.01 | 9% | 12 Jul → | |
| nuke | 13–7 | -0.01 | 4% | 12 Jul → | |
| ancient | 9–13 | 0.02 | 13% | 12 Jul → | |
| ancient | 13–5 | 0.02 | 22% | 5 Jul → | |
| train | 13–6 | -0.03 | 10% | 28 Jun → | |
| dust2 | 11–13 | -0.01 | 18% | 28 Jun → | |
| inferno | 13–8 | 0.00 | 13% | 28 Jun → | |
| nuke | 13–11 | -0.04 | 19% | 28 Jun → | |
| ancient | 14–16 | -0.03 | 4% | 28 Jun → | |
| nuke | 13–0 | 0.07 | 16% | 15 Jun → | |
| ancient | 13–10 | 0.03 | 10% | 15 Jun → | |
| anubis | 13–6 | 0.03 | 9% | 15 Jun → |
Match data via Leetify.