wuli — CS2 Stats
AT76561198122304113[U:1:162038385]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 45.6% | 48.1% |
| Shot accuracy | 11.7% | 12.9% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 43.7% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 85% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 561ms 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 (×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 |
|---|---|---|---|---|---|
| C | 30 | 12–18 | 40% | -0.03 | |
| B | 20 | 10–10 | 50% | -0.02 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| D | 13 | 4–9 | 31% | -0.03 | |
| S | 12 | 8–4 | 67% | -0.01 | |
| S | 9 | 7–2 | 78% | 0.01 | |
| italy | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (31% over 13). 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 148 | 50% | 1.00 | 14.1 |
| Ancient | 109 | 57% | 1.04 | 15.7 |
| Inferno | 68 | 38% | 0.97 | 14.4 |
| Anubis | 63 | 51% | 1.03 | 13.4 |
| Nuke | 62 | 50% | 1.02 | 14.1 |
| Train | 31 | 74% | 1.29 | 15.7 |
| Mirage | 23 | 61% | 1.07 | 15.9 |
| Cache | 14 | 50% | 0.97 | 13.8 |
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 24.202% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.08 | 12% | 26 Aug → | ||
| 13–4 | -0.02 | 18% | 26 Aug → | ||
| 5–13 | -0.04 | 24% | 26 Aug → | ||
| 13–5 | 0.07 | 19% | 25 Aug → | ||
| 13–7 | 0.03 | 27% | 25 Aug → | ||
| 13–11 | -0.02 | 29% | 20 Aug → | ||
| 1–13 | -0.02 | 0% | 19 Aug → | ||
| 2–13 | 0.01 | 13% | 19 Aug → | ||
| 1–13 | -0.12 | 28% | 19 Aug → | ||
| 5–13 | -0.10 | 0% | 18 Aug → | ||
| 13–11 | -0.02 | 15% | 18 Aug → | ||
| 3–13 | -0.01 | 19% | 18 Aug → | ||
| 9–13 | -0.07 | 20% | 17 Aug → | ||
| 5–13 | 0.00 | 26% | 15 Aug → | ||
| 13–10 | -0.05 | 15% | 15 Aug → | ||
| 5–13 | -0.10 | 22% | 14 Aug → | ||
| italy | 13–6 | 0.01 | 22% | 14 Aug → | |
| 1–13 | -0.05 | 0% | 12 Aug → | ||
| 4–13 | -0.07 | 15% | 12 Aug → | ||
| 13–4 | 0.16 | 24% | 12 Aug → | ||
| 13–3 | 0.03 | 28% | 12 Aug → | ||
| 15–15 | -0.04 | 25% | 12 Aug → | ||
| 10–13 | -0.07 | 14% | 30 Jul → | ||
| 13–9 | 0.06 | 29% | 30 Jul → | ||
| 13–1 | 0.08 | 35% | 28 Jul → | ||
| 4–13 | -0.07 | 26% | 28 Jul → | ||
| 13–8 | 0.03 | 19% | 26 Jul → | ||
| 13–4 | -0.05 | 13% | 26 Jul → | ||
| 7–13 | -0.05 | 20% | 26 Jul → | ||
| 13–5 | 0.07 | 20% | 26 Jul → | ||
| 16–14 | -0.03 | 32% | 26 Jul → | ||
| 13–3 | -0.02 | 33% | 26 Jul → | ||
| 13–4 | -0.03 | 24% | 26 Jul → | ||
| 5–13 | -0.02 | 25% | 26 Jul → | ||
| 13–4 | -0.03 | 24% | 26 Jul → | ||
| 13–16 | 0.07 | 20% | 25 Jul → | ||
| 7–0 | 0.04 | 40% | 25 Jul → | ||
| 13–9 | 0.02 | 31% | 25 Jul → | ||
| 13–10 | -0.03 | 32% | 21 Jul → | ||
| 13–8 | -0.03 | 21% | 21 Jul → | ||
| 1–13 | -0.03 | 45% | 21 Jul → | ||
| 4–13 | -0.06 | 20% | 21 Jul → | ||
| 13–11 | -0.05 | 22% | 21 Jul → | ||
| 13–4 | -0.08 | 7% | 20 Jul → | ||
| 16–14 | 0.05 | 30% | 20 Jul → | ||
| 0–13 | -0.03 | 50% | 20 Jul → | ||
| 13–4 | 0.02 | 26% | 20 Jul → | ||
| 13–16 | -0.02 | 17% | 14 Jul → | ||
| 13–6 | -0.03 | 33% | 14 Jul → | ||
| 13–9 | 0.01 | 14% | 13 Jul → | ||
| 12–16 | -0.02 | 22% | 10 Jul → | ||
| 13–3 | 0.08 | 24% | 10 Jul → | ||
| 1–13 | -0.11 | 15% | 10 Jul → | ||
| 13–2 | 0.03 | 38% | 10 Jul → | ||
| 8–13 | 0.01 | 20% | 10 Jul → | ||
| 13–11 | 0.06 | 22% | 10 Jul → | ||
| 13–9 | 0.01 | 19% | 9 Jul → | ||
| 10–13 | -0.02 | 16% | 9 Jul → | ||
| 7–13 | 0.02 | 35% | 8 Jul → | ||
| 13–11 | 0.02 | 21% | 29 Jun → | ||
| 10–13 | 0.01 | 37% | 29 Jun → | ||
| 13–7 | -0.02 | 17% | 29 Jun → | ||
| 7–13 | 0.04 | 26% | 29 Jun → | ||
| 13–10 | -0.03 | 35% | 24 Jun → | ||
| 13–9 | -0.03 | 15% | 24 Jun → | ||
| 13–9 | -0.01 | 27% | 23 Jun → | ||
| 10–13 | -0.02 | 37% | 23 Jun → | ||
| 13–11 | -0.03 | 26% | 16 Jun → | ||
| 13–11 | 0.02 | 28% | 15 Jun → | ||
| 9–13 | -0.06 | 38% | 15 Jun → | ||
| 5–13 | -0.03 | 27% | 15 Jun → | ||
| 6–13 | 0.01 | 23% | 10 Jun → | ||
| 2–13 | -0.07 | 19% | 10 Jun → | ||
| 13–11 | -0.01 | 21% | 10 Jun → | ||
| 13–4 | -0.02 | 19% | 10 Jun → | ||
| 6–13 | -0.02 | 37% | 10 Jun → | ||
| 10–13 | -0.07 | 26% | 26 May → | ||
| 13–11 | -0.02 | 20% | 26 May → | ||
| 13–9 | 0.01 | 28% | 20 May → | ||
| 6–13 | -0.06 | 23% | 16 May → | ||
| 13–6 | -0.04 | 15% | 16 May → | ||
| 9–13 | -0.03 | 27% | 16 May → | ||
| 3–13 | -0.07 | 33% | 13 May → | ||
| 13–7 | -0.06 | 15% | 13 May → | ||
| 13–7 | -0.01 | 25% | 13 May → | ||
| 15–19 | -0.02 | 19% | 12 May → | ||
| 10–13 | 0.03 | 41% | 11 May → | ||
| 13–7 | 0.03 | 29% | 11 May → | ||
| 13–11 | -0.05 | 33% | 6 May → | ||
| 7–13 | -0.02 | 15% | 4 May → | ||
| 8–13 | -0.02 | 20% | 4 May → | ||
| 13–9 | -0.00 | 37% | 4 May → | ||
| 9–13 | -0.01 | 20% | 3 May → | ||
| 13–7 | -0.03 | 26% | 27 Apr → | ||
| 9–13 | -0.00 | 31% | 26 Apr → | ||
| 10–13 | -0.03 | 30% | 26 Apr → | ||
| 5–13 | -0.05 | 50% | 21 Apr → | ||
| 7–13 | -0.03 | 10% | 20 Apr → | ||
| 4–13 | -0.06 | 35% | 17 Apr → | ||
| 13–8 | -0.05 | 37% | 15 Apr → |
Match data via Leetify.
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