Tao_Wz — CS2 Stats
PE76561198934581361[U:1:974315633]Steam profile ↗
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 36.5% | 52.8% | 16.3% short |
| Shot accuracy | 14.5% | 13.7% | above |
| Kill/death ratio | 1.21 | 1.08 | above |
| Match win rate | 52.5% | 49.2% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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: +30pp win rate · +0.04 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 device 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 617ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 32 | 19–13 | 59% | 0.01 | |
| S | 27 | 21–6 | 78% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| D | 7 | 0–7 | 0% | 0.03 | |
| S | 7 | 6–1 | 86% | -0.00 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 7). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 440 | 47% | 1.14 | 15.7 |
| Dust2 | 186 | 50% | 1.12 | 15.7 |
| Inferno | 158 | 49% | 1.10 | 15.7 |
| Anubis | 106 | 58% | 1.23 | 15.9 |
| Vertigo | 104 | 48% | 1.21 | 16.0 |
| Ancient | 94 | 53% | 1.06 | 15.0 |
| Nuke | 49 | 55% | 1.05 | 14.9 |
| Overpass | 38 | 50% | 1.14 | 16.9 |
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.
- 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 14.1847% — 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.
0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 9% | 31 Jul → | ||
| 5–2 | 0.02 | 22% | 31 Jul → | ||
| 15–15 | 0.04 | 12% | 31 Jul → | ||
| 4–13 | 0.09 | 13% | 31 Jul → | ||
| 16–14 | 0.02 | 15% | 31 Jul → | ||
| 13–8 | -0.01 | 19% | 31 Jul → | ||
| 16–14 | 0.02 | 15% | 31 Jul → | ||
| 13–3 | 0.00 | 9% | 30 Jul → | ||
| 13–7 | 0.03 | 13% | 30 Jul → | ||
| 5–13 | -0.04 | 10% | 30 Jul → | ||
| 6–13 | -0.03 | 17% | 30 Jul → | ||
| 13–7 | 0.01 | 18% | 30 Jul → | ||
| 9–13 | -0.06 | 6% | 30 Jul → | ||
| 13–10 | 0.08 | 21% | 23 Mar → | ||
| 13–10 | -0.01 | 12% | 23 Mar → | ||
| 7–13 | -0.05 | 7% | 23 Mar → | ||
| 7–13 | -0.03 | 13% | 23 Mar → | ||
| 13–4 | -0.02 | 12% | 23 Mar → | ||
| 7–13 | -0.07 | 26% | 21 Mar → | ||
| 7–13 | -0.04 | 17% | 21 Mar → | ||
| 11–13 | 0.00 | 15% | 21 Mar → | ||
| 13–11 | -0.01 | 17% | 21 Mar → | ||
| 13–10 | 0.01 | 7% | 20 Mar → | ||
| 13–11 | 0.02 | 14% | 20 Mar → | ||
| 16–13 | 0.01 | 15% | 20 Mar → | ||
| 13–16 | -0.04 | 15% | 20 Mar → | ||
| 13–11 | -0.07 | 13% | 19 Mar → | ||
| 13–8 | -0.05 | 10% | 18 Mar → | ||
| 13–2 | 0.10 | 38% | 16 Mar → | ||
| 15–15 | 0.03 | 10% | 16 Mar → | ||
| 13–5 | -0.04 | 11% | 16 Mar → | ||
| 13–8 | -0.02 | 13% | 16 Mar → | ||
| 4–13 | -0.07 | 24% | 15 Mar → | ||
| 16–13 | 0.02 | 9% | 15 Mar → | ||
| 13–11 | 0.08 | 6% | 15 Mar → | ||
| 13–5 | -0.01 | 13% | 15 Mar → | ||
| 8–13 | -0.04 | 21% | 14 Mar → | ||
| 13–8 | 0.01 | 11% | 14 Mar → | ||
| 13–8 | 0.02 | 10% | 13 Mar → | ||
| 14–16 | 0.01 | 7% | 13 Mar → | ||
| 13–3 | 0.08 | 22% | 13 Mar → | ||
| 19–15 | -0.05 | 8% | 13 Mar → | ||
| 13–9 | 0.06 | 11% | 13 Mar → | ||
| 12–1 | 0.10 | 19% | 13 Mar → | ||
| 12–12 | -0.06 | 0% | 12 Mar → | ||
| 13–11 | -0.03 | 7% | 12 Mar → | ||
| 13–4 | -0.02 | 11% | 12 Mar → | ||
| 11–13 | 0.01 | 20% | 12 Mar → | ||
| 8–13 | 0.09 | 13% | 12 Mar → | ||
| 13–7 | 0.11 | 19% | 12 Mar → | ||
| 13–5 | 0.11 | 13% | 12 Mar → | ||
| 6–13 | -0.01 | 15% | 12 Mar → | ||
| 13–4 | 0.05 | 20% | 12 Mar → | ||
| 13–3 | 0.04 | 21% | 11 Mar → | ||
| 13–7 | 0.10 | 25% | 11 Mar → | ||
| 8–13 | -0.05 | 5% | 9 Mar → | ||
| 13–9 | -0.02 | 9% | 8 Mar → | ||
| 13–8 | 0.05 | 11% | 8 Mar → | ||
| 13–7 | 0.01 | 26% | 8 Mar → | ||
| 13–9 | 0.02 | 16% | 6 Mar → | ||
| 13–9 | -0.01 | 14% | 6 Mar → | ||
| 13–3 | 0.19 | 17% | 6 Mar → | ||
| 11–13 | -0.00 | 18% | 6 Mar → | ||
| 11–13 | 0.00 | 20% | 6 Mar → | ||
| 10–13 | 0.00 | 9% | 5 Mar → | ||
| 13–9 | 0.01 | 24% | 4 Mar → | ||
| 13–8 | 0.03 | 11% | 3 Mar → | ||
| 13–10 | 0.01 | 21% | 3 Mar → | ||
| 7–13 | -0.07 | 18% | 3 Mar → | ||
| 13–5 | 0.17 | 24% | 3 Mar → | ||
| 12–16 | 0.00 | 20% | 2 Mar → | ||
| 11–13 | -0.01 | 8% | 2 Mar → | ||
| 13–5 | 0.00 | 20% | 1 Mar → | ||
| 7–13 | 0.11 | 16% | 1 Mar → | ||
| 13–11 | 0.05 | 12% | 28 Feb → | ||
| 13–4 | -0.08 | 10% | 28 Feb → | ||
| 4–13 | 0.05 | 13% | 26 Feb → | ||
| 13–8 | -0.03 | 19% | 26 Feb → | ||
| 13–4 | -0.00 | 29% | 26 Feb → | ||
| 4–13 | 0.06 | 16% | 26 Feb → | ||
| 13–7 | 0.04 | 12% | 25 Feb → | ||
| 13–9 | 0.03 | 14% | 25 Feb → | ||
| 13–4 | 0.05 | 16% | 25 Feb → | ||
| 11–13 | 0.02 | 13% | 23 Feb → | ||
| 13–2 | 0.09 | 8% | 23 Feb → | ||
| 13–10 | 0.03 | 12% | 23 Feb → | ||
| 13–7 | 0.01 | 13% | 23 Feb → | ||
| 16–14 | 0.05 | 13% | 23 Feb → | ||
| 13–6 | 0.05 | 26% | 23 Feb → | ||
| 13–5 | 0.09 | 11% | 23 Feb → | ||
| 13–5 | -0.03 | 16% | 23 Feb → | ||
| 13–7 | -0.02 | 13% | 22 Feb → | ||
| 13–8 | 0.02 | 18% | 22 Feb → | ||
| 16–14 | -0.03 | 7% | 22 Feb → | ||
| 10–13 | -0.04 | 12% | 22 Feb → | ||
| 4–13 | 0.01 | 10% | 22 Feb → | ||
| 13–3 | 0.05 | 12% | 11 Nov → | ||
| 11–13 | 0.10 | 16% | 10 Nov → | ||
| 5–1 | 0.12 | 5% | 10 Nov → | ||
| 13–10 | 0.13 | 28% | 10 Nov → |
Match data via Leetify.