Worder — CS2 Stats
CH76561198353387361[U:1:393121633]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 |
|---|---|---|
| Headshot rate | 58.5% | 52.8% |
| Shot accuracy | 9.1% | 13.7% |
| Kill/death ratio | 1.49 | 1.08 |
| Match win rate | 48.2% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.03 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 b1t 86% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
T-side openings. Opening success drops from 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 627ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| D | 49 | 12–37 | 24% | 0.01 | |
| D | 13 | 2–11 | 15% | -0.00 | |
| D | 12 | 2–10 | 17% | -0.02 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Mirage 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.
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 32.7387% — 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.
15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.01 | 25% | 10 Aug → | ||
| 13–10 | 0.05 | 22% | 9 Aug → | ||
| 11–13 | 0.01 | 28% | 7 Aug → | ||
| 5–13 | -0.00 | 9% | 6 Aug → | ||
| 9–13 | 0.03 | 34% | 6 Aug → | ||
| 12–16 | 0.02 | 18% | 5 Aug → | ||
| 13–5 | 0.04 | 19% | 4 Aug → | ||
| 13–2 | 0.06 | 19% | 3 Aug → | ||
| 11–13 | -0.05 | 22% | 3 Aug → | ||
| 13–9 | 0.04 | 25% | 2 Aug → | ||
| 5–13 | -0.05 | 17% | 31 Jul → | ||
| 11–13 | -0.02 | 22% | 30 Jul → | ||
| 2–13 | -0.02 | 13% | 27 Jul → | ||
| 13–11 | 0.01 | 31% | 22 Jul → | ||
| 6–13 | -0.04 | 19% | 21 Jul → | ||
| 12–12 | 0.09 | 18% | 15 Jul → | ||
| 11–13 | 0.04 | 41% | 15 Jul → | ||
| 11–13 | 0.04 | 29% | 13 Jul → | ||
| 1–13 | -0.09 | 41% | 13 Jul → | ||
| 6–13 | -0.05 | 38% | 13 Jul → | ||
| 10–13 | -0.02 | 24% | 10 Jul → | ||
| 13–6 | -0.03 | 23% | 10 Jul → | ||
| 5–13 | -0.05 | 17% | 8 Jul → | ||
| 6–13 | -0.04 | 22% | 5 Jul → | ||
| 9–13 | -0.07 | 19% | 5 Jul → | ||
| 13–8 | -0.05 | 23% | 5 Jul → | ||
| 3–13 | -0.10 | 31% | 5 Jul → | ||
| 10–13 | -0.02 | 18% | 5 Jul → | ||
| 13–9 | 0.01 | 20% | 4 Jul → | ||
| 9–13 | 0.11 | 21% | 4 Jul → | ||
| 5–13 | 0.00 | 17% | 4 Jul → | ||
| 5–13 | 0.03 | 31% | 3 Jul → | ||
| 13–6 | 0.01 | 21% | 3 Jul → | ||
| 13–4 | -0.02 | 26% | 3 Jul → | ||
| 8–13 | 0.02 | 29% | 1 Jul → | ||
| 13–10 | -0.09 | 33% | 1 Jul → | ||
| 13–6 | 0.11 | 35% | 1 Jul → | ||
| 13–5 | -0.10 | 22% | 1 Jul → | ||
| 8–13 | 0.01 | 13% | 30 Jun → | ||
| 5–13 | 0.01 | 26% | 30 Jun → | ||
| 14–16 | 0.02 | 16% | 30 Jun → | ||
| 13–8 | -0.09 | 33% | 30 Jun → | ||
| 0–13 | -0.06 | 33% | 30 Jun → | ||
| 2–13 | 0.04 | 25% | 30 Jun → | ||
| 3–13 | -0.04 | 23% | 30 Jun → | ||
| 8–13 | -0.02 | 15% | 30 Jun → | ||
| 0–13 | -0.01 | 21% | 30 Jun → | ||
| 10–13 | 0.06 | 23% | 29 Jun → | ||
| 2–13 | 0.04 | 43% | 29 Jun → | ||
| 6–13 | 0.03 | 25% | 26 Jun → | ||
| 2–13 | -0.09 | 13% | 26 Jun → | ||
| 6–13 | -0.06 | 20% | 26 Jun → | ||
| 13–10 | 0.06 | 24% | 26 Jun → | ||
| 13–7 | -0.07 | 20% | 26 Jun → | ||
| 10–13 | 0.02 | 33% | 24 Jun → | ||
| 15–15 | -0.01 | 29% | 24 Jun → | ||
| 1–13 | -0.05 | 18% | 24 Jun → | ||
| 13–10 | 0.01 | 24% | 24 Jun → | ||
| 3–13 | 0.00 | 30% | 24 Jun → | ||
| 4–13 | -0.04 | 28% | 24 Jun → | ||
| 0–13 | -0.04 | 33% | 23 Jun → | ||
| 13–10 | -0.10 | 25% | 22 Jun → | ||
| 1–13 | 0.02 | 27% | 22 Jun → | ||
| 0–13 | -0.04 | 36% | 22 Jun → | ||
| 2–13 | -0.05 | 17% | 22 Jun → | ||
| 11–13 | 0.05 | 22% | 21 Jun → | ||
| 11–13 | 0.04 | 38% | 21 Jun → | ||
| 6–13 | -0.08 | 33% | 20 Jun → | ||
| 6–13 | 0.02 | 21% | 20 Jun → | ||
| 4–13 | -0.01 | 38% | 18 Jun → | ||
| 0–13 | -0.05 | 17% | 18 Jun → | ||
| 5–13 | 0.09 | 21% | 16 Jun → | ||
| 0–13 | -0.03 | 41% | 16 Jun → | ||
| 2–13 | -0.01 | 31% | 15 Jun → | ||
| 9–13 | 0.09 | 34% | 10 Jun → | ||
| 6–13 | -0.01 | 35% | 10 Jun → | ||
| 9–13 | -0.02 | 26% | 6 Jun → | ||
| 9–13 | 0.03 | 33% | 5 Jun → | ||
| 12–12 | 0.07 | 32% | 29 May → | ||
| 3–13 | -0.00 | 14% | 27 May → | ||
| 16–13 | 0.17 | 43% | 27 May → | ||
| 13–8 | 0.02 | 26% | 27 May → | ||
| 13–4 | 0.05 | 22% | 12 May → | ||
| 16–14 | -0.01 | 26% | 8 May → | ||
| 13–11 | -0.01 | 25% | 8 May → | ||
| 11–13 | -0.01 | 34% | 5 May → | ||
| 8–13 | 0.02 | 23% | 5 May → | ||
| 16–13 | 0.07 | 29% | 4 May → | ||
| 4–13 | 0.00 | 21% | 4 May → | ||
| 9–13 | 0.01 | 24% | 1 May → | ||
| 13–10 | 0.10 | 27% | 30 Apr → | ||
| 12–12 | 0.08 | 25% | 28 Apr → | ||
| 9–13 | -0.01 | 26% | 26 Apr → | ||
| 15–15 | 0.03 | 31% | 11 Apr → | ||
| 13–16 | 0.02 | 20% | 11 Apr → | ||
| 5–13 | -0.13 | 35% | 9 Apr → | ||
| 16–12 | 0.01 | 23% | 8 Apr → | ||
| 3–13 | -0.02 | 22% | 8 Apr → | ||
| 10–13 | 0.18 | 41% | 8 Apr → | ||
| 2–13 | -0.00 | 21% | 7 Apr → |
Match data via Leetify.