weigongtulang — CS2 Stats
76561198967094218[U:1:1006828490]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 | 42.0% | 42.1% | 42.5% | meets |
| Shot accuracy | 0.0% | 12.1% | 10.9% | 10.9% short |
| Kill/death ratio | 0.77 | 0.99 | 0.99 | 0.22 short |
| Match win rate | 40.5% | 43.9% | 44.2% | 3.6% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. 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 · +0.00 avg rating
Player DNA
Primary style: Hybrid 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 ropz 89% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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. 632ms 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 6.1/10 (Solid), 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 | 57 | 33–24 | 58% | 0.01 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| A | 13 | 8–5 | 62% | 0.00 | |
| — | 4 | 4–0 | 100% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.09 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (53% over 17). Start with the 6 essential Ancient 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 113 | 47% | 0.82 | 11.7 |
| Dust2 | 88 | 40% | 0.88 | 13.2 |
| Inferno | 52 | 48% | 0.88 | 13.1 |
| Nuke | 43 | 51% | 0.85 | 13.4 |
| Anubis | 33 | 48% | 0.83 | 12.8 |
| Ancient | 28 | 50% | 0.90 | 13.9 |
| Overpass | 18 | 67% | 0.99 | 14.7 |
| Vertigo | 16 | 50% | 0.80 | 11.6 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4964 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.05 | 13% | 28 Aug → | ||
| 11–13 | 0.04 | 17% | 28 Aug → | ||
| 13–7 | 0.03 | 8% | 28 Aug → | ||
| 13–7 | 0.00 | 14% | 28 Aug → | ||
| 9–5 | 0.04 | 18% | 28 Aug → | ||
| 13–3 | 0.06 | 18% | 28 Aug → | ||
| 12–12 | -0.01 | 18% | 3 Jul → | ||
| 3–13 | -0.01 | 10% | 3 Jul → | ||
| 13–6 | 0.10 | 19% | 3 Jul → | ||
| 8–13 | -0.01 | 19% | 3 Jul → | ||
| 6–2 | -0.02 | 16% | 3 Jul → | ||
| 13–9 | 0.03 | 14% | 3 Jul → | ||
| 13–4 | 0.04 | 21% | 29 Jun → | ||
| 11–13 | -0.01 | 10% | 29 Jun → | ||
| 13–2 | -0.02 | 3% | 29 Jun → | ||
| 12–12 | 0.10 | 11% | 29 Jun → | ||
| 13–2 | -0.01 | 25% | 27 Jun → | ||
| 13–3 | 0.03 | 13% | 27 Jun → | ||
| 13–1 | 0.04 | 15% | 27 Jun → | ||
| 13–4 | 0.08 | 23% | 27 Jun → | ||
| 13–11 | 0.00 | 12% | 27 Jun → | ||
| 13–10 | 0.10 | 20% | 18 Jun → | ||
| 14–16 | -0.00 | 16% | 18 Jun → | ||
| 13–5 | 0.11 | 23% | 18 Jun → | ||
| 9–13 | -0.00 | 26% | 18 Jun → | ||
| 13–4 | -0.06 | 9% | 18 Jun → | ||
| 13–11 | 0.11 | 15% | 18 Jun → | ||
| 13–5 | 0.06 | 25% | 17 Jun → | ||
| 4–13 | 0.00 | 33% | 17 Jun → | ||
| 4–13 | 0.01 | 30% | 17 Jun → | ||
| 13–4 | -0.03 | 18% | 17 Jun → | ||
| 2–13 | -0.07 | 13% | 17 Jun → | ||
| 13–7 | 0.12 | 32% | 17 Jun → | ||
| 12–12 | -0.04 | 24% | 17 Jun → | ||
| 13–6 | 0.08 | 9% | 13 Jun → | ||
| 13–3 | 0.08 | 10% | 13 Jun → | ||
| 12–12 | 0.03 | 8% | 13 Jun → | ||
| 7–13 | -0.02 | 17% | 13 Jun → | ||
| 4–13 | 0.05 | 24% | 13 Jun → | ||
| 2–13 | -0.05 | 6% | 13 Jun → | ||
| 13–10 | -0.03 | 22% | 13 Jun → | ||
| 13–8 | 0.08 | 19% | 12 Jun → | ||
| 13–6 | 0.09 | 18% | 12 Jun → | ||
| 13–8 | 0.03 | 21% | 12 Jun → | ||
| 2–13 | -0.09 | 33% | 12 Jun → | ||
| 12–12 | -0.04 | 12% | 12 Jun → | ||
| 13–6 | -0.01 | 20% | 12 Jun → | ||
| 13–6 | 0.01 | 24% | 12 Jun → | ||
| 13–7 | -0.04 | 22% | 12 Jun → | ||
| 6–9 | -0.11 | 13% | 30 May → | ||
| 13–10 | 0.00 | 16% | 30 May → | ||
| 12–6 | -0.01 | 5% | 30 May → | ||
| 12–12 | -0.02 | 14% | 30 May → | ||
| 11–13 | -0.03 | 21% | 30 May → | ||
| 12–6 | -0.02 | 21% | 30 May → | ||
| 13–8 | 0.07 | 22% | 30 May → | ||
| 9–1 | 0.11 | 11% | 23 May → | ||
| 3–13 | -0.05 | 17% | 23 May → | ||
| 10–13 | 0.00 | 19% | 23 May → | ||
| 13–11 | 0.08 | 19% | 23 May → | ||
| 13–9 | 0.01 | 14% | 23 May → | ||
| 6–13 | 0.02 | 20% | 23 May → | ||
| 8–13 | -0.06 | 5% | 23 May → | ||
| 8–13 | 0.03 | 10% | 23 May → | ||
| 13–9 | 0.07 | 14% | 23 May → | ||
| 13–10 | -0.05 | 25% | 20 May → | ||
| 12–12 | 0.00 | 18% | 20 May → | ||
| 13–4 | 0.03 | 10% | 20 May → | ||
| 5–13 | 0.04 | 15% | 20 May → | ||
| 3–0 | -0.04 | 0% | 20 May → | ||
| 8–13 | -0.04 | 13% | 20 May → | ||
| 13–7 | 0.06 | 19% | 20 May → | ||
| 13–9 | 0.03 | 27% | 16 May → | ||
| 13–3 | 0.09 | 23% | 16 May → | ||
| 13–4 | -0.03 | 9% | 16 May → | ||
| 15–15 | -0.03 | 11% | 16 May → | ||
| 13–5 | 0.01 | 22% | 16 May → | ||
| 8–13 | -0.05 | 15% | 15 May → | ||
| 5–13 | -0.05 | 10% | 15 May → | ||
| 13–7 | 0.02 | 13% | 15 May → | ||
| 8–13 | 0.01 | 7% | 15 May → | ||
| 13–9 | 0.03 | 15% | 15 May → | ||
| 16–14 | 0.01 | 12% | 15 May → | ||
| 0–13 | -0.05 | 15% | 15 May → | ||
| 13–6 | 0.09 | 9% | 15 May → | ||
| 11–13 | -0.04 | 28% | 15 May → | ||
| 13–6 | 0.09 | 11% | 15 May → | ||
| 4–9 | -0.07 | 20% | 10 May → | ||
| 9–6 | 0.05 | 15% | 10 May → | ||
| 8–13 | 0.00 | 11% | 10 May → | ||
| 14–16 | 0.02 | 18% | 10 May → | ||
| 13–3 | -0.03 | 33% | 10 May → | ||
| 13–16 | -0.04 | 11% | 10 May → | ||
| 12–12 | -0.05 | 20% | 10 May → | ||
| 13–3 | 0.02 | 14% | 10 May → | ||
| 13–5 | -0.03 | 31% | 10 May → | ||
| 13–3 | 0.02 | 22% | 10 May → | ||
| 13–11 | 0.01 | 23% | 8 May → | ||
| 13–10 | 0.01 | 30% | 8 May → | ||
| 13–4 | -0.04 | 20% | 8 May → |
Match data via Leetify.