chilled_dan — CS2 Stats
76561198168187274[U:1:207921546]✓ No bans
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 | 62.3% | 52.8% |
| Shot accuracy | 16.3% | 13.7% |
| Kill/death ratio | 1.52 | 1.08 |
| Match win rate | 47.2% | 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: +0pp win rate · -0.05 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 ZywOo 94% playstyle similarity
Most alike: positioning profile, utility contribution.
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 89 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 560ms 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 7.5/10 (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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | 0.02 | |
| B | 18 | 9–9 | 50% | 0.00 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.03 | |
| C | 9 | 4–5 | 44% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| D | 6 | 1–5 | 17% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| eldorado | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 450 | 51% | 1.23 | 17.1 |
| Anubis | 347 | 54% | 1.32 | 17.9 |
| Ancient | 289 | 48% | 1.27 | 17.6 |
| Inferno | 230 | 50% | 1.33 | 18.1 |
| Dust2 | 213 | 43% | 1.18 | 17.4 |
| Nuke | 211 | 55% | 1.32 | 18.1 |
| Overpass | 129 | 57% | 1.30 | 18.4 |
| Vertigo | 39 | 41% | 1.14 | 18.5 |
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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.11 | 20% | 13 Aug → | ||
| 13–9 | 0.09 | 25% | 13 Aug → | ||
| 5–13 | -0.08 | 4% | 12 Aug → | ||
| 16–14 | -0.01 | 22% | 12 Aug → | ||
| 13–6 | 0.08 | 26% | 9 Aug → | ||
| 4–13 | -0.03 | 21% | 8 Aug → | ||
| 13–8 | 0.06 | 24% | 8 Aug → | ||
| 11–13 | -0.05 | 24% | 7 Aug → | ||
| 6–13 | -0.00 | 23% | 29 Jul → | ||
| 6–13 | -0.02 | 26% | 28 Jul → | ||
| 13–11 | 0.00 | 24% | 26 Jul → | ||
| 6–13 | -0.02 | 23% | 24 Jul → | ||
| 10–13 | 0.05 | 19% | 24 Jul → | ||
| eldorado | 3–9 | -0.03 | 27% | 14 Jul → | |
| 13–9 | 0.06 | 27% | 11 Jul → | ||
| 7–13 | 0.01 | 10% | 11 Jul → | ||
| 13–0 | 0.15 | 36% | 11 Jul → | ||
| 13–8 | 0.04 | 16% | 11 Jul → | ||
| 3–13 | 0.04 | 32% | 5 Jul → | ||
| 5–13 | 0.10 | 29% | 4 Jul → | ||
| 9–13 | 0.08 | 28% | 3 Jul → | ||
| 14–16 | 0.02 | 29% | 2 Jul → | ||
| 6–13 | -0.01 | 23% | 2 Jul → | ||
| 11–13 | 0.05 | 35% | 27 Jun → | ||
| 13–11 | -0.04 | 29% | 20 Jun → | ||
| 13–6 | 0.01 | 20% | 20 Jun → | ||
| 13–10 | 0.09 | 27% | 20 Jun → | ||
| 19–17 | 0.00 | 22% | 13 Jun → | ||
| 10–13 | 0.02 | 13% | 13 Jun → | ||
| 13–1 | 0.05 | 12% | 12 Jun → | ||
| 13–5 | 0.00 | 36% | 12 Jun → | ||
| 9–13 | 0.02 | 27% | 12 Jun → | ||
| 5–13 | -0.00 | 33% | 29 May → | ||
| 8–13 | 0.04 | 17% | 29 May → | ||
| 13–6 | 0.03 | 27% | 29 May → | ||
| 8–13 | 0.01 | 30% | 22 May → | ||
| 13–11 | 0.09 | 33% | 15 May → | ||
| 12–16 | 0.06 | 25% | 15 May → | ||
| 13–8 | -0.00 | 34% | 11 May → | ||
| 5–13 | 0.03 | 30% | 10 May → | ||
| 9–5 | 0.10 | 31% | 8 May → | ||
| 20–22 | 0.01 | 28% | 7 May → | ||
| 13–9 | 0.08 | 28% | 7 May → | ||
| 9–6 | 0.08 | 25% | 7 May → | ||
| 13–8 | -0.04 | 18% | 4 May → | ||
| 6–13 | -0.04 | 18% | 3 May → | ||
| 13–5 | 0.07 | 38% | 1 May → | ||
| 6–13 | 0.05 | 24% | 30 Apr → | ||
| 13–11 | 0.05 | 27% | 30 Apr → | ||
| 11–13 | -0.03 | 38% | 29 Apr → | ||
| 7–13 | 0.01 | 27% | 29 Apr → | ||
| 7–13 | 0.01 | 27% | 29 Apr → | ||
| 6–13 | 0.04 | 20% | 26 Apr → | ||
| 10–13 | 0.07 | 22% | 25 Apr → | ||
| 13–6 | 0.10 | 18% | 23 Apr → | ||
| 16–13 | 0.03 | 17% | 22 Apr → | ||
| 13–6 | 0.07 | 32% | 21 Apr → | ||
| 8–13 | -0.01 | 10% | 21 Apr → | ||
| 13–8 | 0.04 | 27% | 21 Apr → | ||
| 9–13 | -0.01 | 20% | 12 Apr → | ||
| 6–13 | 0.08 | 25% | 11 Apr → | ||
| 13–11 | 0.02 | 30% | 11 Apr → | ||
| 13–6 | 0.15 | 30% | 9 Apr → | ||
| 13–1 | 0.17 | 30% | 9 Apr → | ||
| 0–0 | 0.00 | 0% | 8 Apr → | ||
| 8–13 | 0.05 | 40% | 7 Apr → | ||
| 6–13 | 0.03 | 16% | 7 Apr → | ||
| 25–23 | 0.03 | 19% | 3 Apr → | ||
| 3–13 | -0.06 | 16% | 1 Apr → | ||
| 13–9 | -0.02 | 27% | 1 Apr → | ||
| 13–7 | -0.02 | 33% | 25 Mar → | ||
| 6–13 | 0.04 | 15% | 25 Mar → | ||
| 13–10 | 0.07 | 24% | 25 Mar → | ||
| 9–13 | -0.04 | 15% | 24 Mar → | ||
| 13–10 | 0.01 | 26% | 24 Mar → | ||
| 10–13 | -0.02 | 32% | 21 Mar → | ||
| 13–6 | 0.09 | 25% | 13 Mar → | ||
| 13–3 | 0.03 | 24% | 13 Mar → | ||
| 25–22 | 0.05 | 20% | 13 Mar → | ||
| 6–13 | -0.04 | 22% | 8 Mar → | ||
| 8–13 | -0.06 | 26% | 4 Mar → | ||
| 11–13 | 0.01 | 28% | 4 Mar → | ||
| 13–4 | 0.03 | 16% | 3 Mar → | ||
| 13–8 | 0.11 | 26% | 2 Mar → | ||
| 4–13 | 0.01 | 34% | 2 Mar → | ||
| 13–2 | -0.00 | 26% | 2 Mar → | ||
| 13–11 | -0.05 | 41% | 2 Mar → | ||
| 6–13 | -0.03 | 25% | 27 Feb → | ||
| 4–13 | 0.01 | 13% | 23 Feb → | ||
| 7–13 | -0.03 | 20% | 23 Feb → | ||
| 16–14 | 0.04 | 22% | 16 Feb → | ||
| 9–13 | -0.01 | 40% | 15 Feb → | ||
| 13–6 | -0.03 | 11% | 9 Feb → | ||
| 13–7 | 0.03 | 19% | 5 Feb → | ||
| 13–11 | 0.00 | 19% | 2 Feb → | ||
| 13–10 | 0.05 | 23% | 31 Jan → | ||
| 5–13 | -0.03 | 21% | 30 Jan → | ||
| 6–13 | -0.03 | 15% | 25 Jan → | ||
| 16–13 | 0.02 | 19% | 19 Jan → | ||
| 2–13 | 0.02 | 32% | 18 Jan → |
Match data via Leetify.