wqy — CS2 Stats
76561199005709130[U:1:1045443402]Steam profile ↗
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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 aimerExcellent 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 device 96% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 593ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 26 | 12–14 | 46% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| S | 13 | 9–4 | 69% | -0.01 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| C | 12 | 5–7 | 42% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| S | 5 | 5–0 | 100% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.05 | |
| fachwerk | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 37 | 51% | 1.35 | 20.9 |
| Dust2 | 24 | 71% | 1.52 | 20.1 |
| Ancient | 16 | 81% | 1.30 | 18.1 |
| Anubis | 11 | 55% | 0.91 | 18.0 |
| Inferno | 11 | 64% | 1.60 | 18.9 |
| Vertigo | 4 | 25% | 0.82 | 14.8 |
| Nuke | 3 | 100% | 1.94 | 24.7 |
| Train | 3 | 67% | 1.20 | 16.0 |
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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.03 | 57% | 28 Aug → | ||
| 11–13 | 0.05 | 29% | 28 Aug → | ||
| 13–9 | 0.03 | 20% | 28 Aug → | ||
| 13–4 | 0.01 | 22% | 28 Aug → | ||
| 9–13 | 0.01 | 23% | 28 Aug → | ||
| 13–10 | 0.01 | 27% | 28 Aug → | ||
| 13–8 | -0.04 | 29% | 28 Aug → | ||
| 13–9 | 0.01 | 45% | 28 Aug → | ||
| 10–13 | 0.00 | 49% | 28 Aug → | ||
| 13–9 | -0.03 | 68% | 28 Aug → | ||
| 4–13 | 0.05 | 49% | 26 Aug → | ||
| 7–1 | 0.03 | 83% | 26 Aug → | ||
| 8–13 | -0.01 | 13% | 24 Aug → | ||
| 11–13 | -0.05 | 23% | 24 Aug → | ||
| 13–5 | -0.01 | 37% | 24 Aug → | ||
| 13–11 | -0.03 | 28% | 21 Aug → | ||
| 13–1 | 0.13 | 14% | 19 Aug → | ||
| 16–13 | 0.04 | 23% | 19 Aug → | ||
| 8–13 | 0.07 | 45% | 17 Aug → | ||
| 13–9 | 0.01 | 40% | 17 Aug → | ||
| 15–15 | -0.02 | 32% | 5 Aug → | ||
| 12–16 | 0.03 | 32% | 5 Aug → | ||
| 10–13 | 0.07 | 38% | 5 Aug → | ||
| 15–15 | -0.04 | 30% | 5 Aug → | ||
| 6–13 | -0.01 | 18% | 5 Aug → | ||
| 15–15 | 0.08 | 28% | 2 Aug → | ||
| 13–16 | 0.01 | 26% | 2 Aug → | ||
| 10–13 | 0.09 | 50% | 1 Aug → | ||
| 13–8 | 0.04 | 29% | 1 Aug → | ||
| 8–1 | -0.05 | 100% | 1 Aug → | ||
| 13–11 | -0.00 | 62% | 1 Aug → | ||
| 12–12 | -0.04 | 60% | 1 Aug → | ||
| 11–13 | 0.07 | 71% | 1 Aug → | ||
| 13–9 | 0.01 | 71% | 31 Jul → | ||
| 9–13 | 0.01 | 42% | 31 Jul → | ||
| 12–12 | -0.00 | 40% | 30 Jul → | ||
| 13–11 | 0.07 | 60% | 30 Jul → | ||
| 7–0 | 0.08 | 47% | 30 Jul → | ||
| 13–8 | 0.09 | 50% | 30 Jul → | ||
| 10–13 | 0.12 | 59% | 30 Jul → | ||
| 13–10 | -0.04 | 48% | 30 Jul → | ||
| 13–11 | -0.05 | 48% | 30 Jul → | ||
| 12–4 | 0.05 | 62% | 30 Jul → | ||
| 13–2 | -0.00 | 73% | 30 Jul → | ||
| 11–13 | -0.04 | 45% | 30 Jul → | ||
| 13–11 | -0.04 | 55% | 30 Jul → | ||
| 15–15 | 0.04 | 51% | 29 Jul → | ||
| 13–1 | 0.14 | 46% | 27 Jul → | ||
| 16–13 | 0.00 | 31% | 27 Jul → | ||
| 6–13 | 0.01 | 18% | 23 Jul → | ||
| 15–15 | -0.02 | 31% | 21 Jul → | ||
| 13–5 | 0.08 | 32% | 21 Jul → | ||
| 6–13 | -0.05 | 48% | 21 Jul → | ||
| 12–12 | 0.02 | 77% | 19 Jul → | ||
| 6–13 | 0.03 | 61% | 19 Jul → | ||
| 13–5 | -0.00 | 61% | 19 Jul → | ||
| 13–11 | 0.04 | 54% | 19 Jul → | ||
| 12–12 | 0.03 | 63% | 19 Jul → | ||
| 12–12 | 0.06 | 55% | 19 Jul → | ||
| 12–12 | -0.03 | 59% | 19 Jul → | ||
| 9–13 | -0.04 | 61% | 19 Jul → | ||
| 13–7 | 0.05 | 61% | 19 Jul → | ||
| 10–13 | 0.05 | 66% | 19 Jul → | ||
| 12–12 | 0.03 | 54% | 19 Jul → | ||
| 10–13 | 0.01 | 61% | 18 Jul → | ||
| 13–9 | -0.03 | 71% | 18 Jul → | ||
| 9–13 | 0.08 | 75% | 18 Jul → | ||
| 17–19 | 0.03 | 20% | 16 Jul → | ||
| 1–13 | -0.01 | 75% | 16 Jul → | ||
| 0–13 | -0.05 | 80% | 16 Jul → | ||
| 8–13 | -0.01 | 14% | 16 Jul → | ||
| 13–4 | 0.02 | 15% | 14 Jul → | ||
| 13–11 | 0.06 | 12% | 14 Jul → | ||
| 13–16 | 0.07 | 29% | 14 Jul → | ||
| 13–9 | 0.06 | 20% | 14 Jul → | ||
| 13–4 | 0.14 | 21% | 14 Jul → | ||
| 13–7 | -0.00 | 19% | 14 Jul → | ||
| 13–8 | 0.00 | 24% | 13 Jul → | ||
| 13–7 | 0.04 | 25% | 13 Jul → | ||
| 16–14 | 0.05 | 20% | 13 Jul → | ||
| 13–5 | 0.01 | 31% | 13 Jul → | ||
| 13–4 | 0.00 | 53% | 13 Jul → | ||
| 13–16 | 0.04 | 54% | 13 Jul → | ||
| 13–9 | 0.05 | 50% | 13 Jul → | ||
| fachwerk | 4–13 | -0.01 | 89% | 13 Jul → | |
| 13–5 | 0.04 | 73% | 13 Jul → | ||
| 8–13 | -0.06 | 28% | 12 Jul → | ||
| 13–7 | 0.11 | 45% | 11 Jul → | ||
| 13–4 | 0.13 | 40% | 11 Jul → | ||
| 13–6 | 0.10 | 43% | 11 Jul → | ||
| 13–5 | 0.02 | 58% | 11 Jul → | ||
| 13–3 | 0.03 | 56% | 11 Jul → | ||
| 12–16 | -0.02 | 31% | 11 Jul → | ||
| 16–13 | 0.03 | 55% | 10 Jul → | ||
| 6–13 | 0.02 | 61% | 10 Jul → | ||
| 13–7 | 0.06 | 53% | 10 Jul → | ||
| 13–2 | 0.04 | 52% | 10 Jul → | ||
| 13–5 | 0.03 | 36% | 10 Jul → | ||
| 3–13 | 0.06 | 73% | 10 Jul → | ||
| 13–6 | 0.19 | 78% | 9 Jul → |
Match data via Leetify.