CHRIS ASMR — CS2 Stats
GR76561198155653413[U:1:195387685]Steam profile ↗
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 53.0% | 44.2% | 47.1% | above |
| Shot accuracy | 20.6% | 11.6% | 12.8% | above |
| Kill/death ratio | 1.21 | 1.03 | 1.08 | above |
| Match win rate | 38.6% | 45.2% | 46.6% | 8.0% short |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink band 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: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 91% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile; higher opening-fight frequency.
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. 701ms 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 6.9/10 (Solid), 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 72 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 |
|---|---|---|---|---|---|
 dust2 | A | 36 | 22–14 | 61% | 0.06 |
 inferno | B | 6 | 3–3 | 50% | 0.10 |
 cache | A | 5 | 3–2 | 60% | 0.02 |
 ancient | C | 5 | 2–3 | 40% | 0.01 |
| office | — | 4 | 2–2 | 50% | 0.03 |
 mirage | — | 4 | 2–2 | 50% | 0.04 |
 overpass | — | 4 | 2–2 | 50% | 0.02 |
 nuke | — | 2 | 0–2 | 0% | 0.07 |
 anubis | — | 1 | 1–0 | 100% | 0.07 |
| poseidon | — | 1 | 0–1 | 0% | -0.09 |
| italy | — | 1 | 1–0 | 100% | 0.05 |
| basalt | — | 1 | 1–0 | 100% | -0.03 |
 train | — | 1 | 0–1 | 0% | 0.03 |
| palais | — | 1 | 1–0 | 100% | -0.13 |
Across the last 72 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (40% over 5). 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 resultsLLLLW
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.839ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–10 | -0.00 | 12% | 17 May → | |
| mirage | 5–1 | 0.08 | 38% | 17 May → | |
| dust2 | 13–9 | 0.06 | 21% | 17 May → | |
| dust2 | 12–3 | 0.10 | 20% | 17 May → | |
| cache | 12–12 | -0.01 | 14% | 15 May → | |
| dust2 | 3–13 | 0.00 | 19% | 15 May → | |
| dust2 | 1–13 | -0.08 | 33% | 15 May → | |
| dust2 | 7–13 | -0.01 | 14% | 15 May → | |
| dust2 | 12–12 | 0.00 | 32% | 9 May → | |
| dust2 | 13–2 | 0.16 | 27% | 9 May → | |
| dust2 | 13–5 | 0.07 | 35% | 8 May → | |
| dust2 | 10–13 | 0.02 | 23% | 7 May → | |
| cache | 7–13 | 0.04 | 24% | 7 May → | |
| dust2 | 13–6 | 0.09 | 39% | 6 May → | |
| inferno | 9–13 | 0.11 | 15% | 3 May → | |
| dust2 | 13–6 | 0.02 | 34% | 3 May → | |
| mirage | 7–1 | 0.08 | 15% | 3 May → | |
| dust2 | 3–13 | -0.00 | 33% | 3 May → | |
| inferno | 6–1 | 0.41 | 33% | 3 May → | |
| cache | 13–10 | -0.02 | 19% | 3 May → | |
| cache | 13–2 | 0.07 | 27% | 3 May → | |
| dust2 | 9–13 | -0.00 | 22% | 3 May → | |
| cache | 13–8 | 0.00 | 20% | 3 May → | |
| dust2 | 12–12 | 0.05 | 24% | 2 May → | |
| dust2 | 13–4 | 0.08 | 22% | 2 May → | |
| dust2 | 13–10 | 0.05 | 17% | 2 May → | |
| dust2 | 10–13 | 0.02 | 21% | 27 Apr → | |
| dust2 | 13–10 | 0.08 | 21% | 27 Apr → | |
| dust2 | 12–12 | 0.07 | 23% | 27 Apr → | |
| dust2 | 13–0 | 0.14 | 17% | 27 Apr → | |
| dust2 | 13–7 | 0.12 | 31% | 25 Apr → | |
| dust2 | 13–1 | 0.20 | 27% | 25 Apr → | |
| dust2 | 13–8 | 0.02 | 20% | 25 Apr → | |
| dust2 | 13–3 | 0.14 | 31% | 25 Apr → | |
| office | 13–7 | 0.13 | 27% | 24 Apr → | |
| dust2 | 9–2 | 0.21 | 41% | 24 Apr → | |
| inferno | 13–8 | 0.09 | 24% | 24 Apr → | |
| dust2 | 11–13 | 0.02 | 24% | 14 Apr → | |
| dust2 | 13–4 | 0.10 | 21% | 6 Apr → | |
| dust2 | 9–13 | 0.08 | 22% | 4 Apr → | |
| dust2 | 13–11 | 0.03 | 31% | 2 Apr → | |
| dust2 | 10–13 | 0.03 | 20% | 30 Mar → | |
| anubis | 16–13 | 0.07 | 21% | 24 Mar → | |
| office | 4–13 | -0.07 | 17% | 4 Mar → | |
| ancient | 16–14 | 0.00 | 28% | 1 Mar → | |
| overpass | 7–13 | -0.05 | 27% | 1 Mar → | |
| dust2 | 13–5 | 0.05 | 11% | 1 Mar → | |
| ancient | 15–15 | 0.00 | 17% | 1 Mar → | |
| overpass | 9–4 | 0.19 | 9% | 18 Feb → | |
| poseidon | 2–9 | -0.09 | 14% | 8 Feb → | |
| italy | 13–5 | 0.05 | 18% | 8 Feb → | |
| office | 8–13 | 0.07 | 28% | 7 Feb → | |
| overpass | 9–13 | -0.05 | 22% | 7 Feb → | |
| ancient | 1–13 | -0.07 | 24% | 3 Feb → | |
| ancient | 15–15 | 0.08 | 17% | 1 Feb → | |
| nuke | 5–13 | 0.02 | 35% | 22 Jan → | |
| inferno | 7–2 | -0.02 | 25% | 19 Jan → | |
| inferno | 7–13 | 0.05 | 37% | 19 May → | |
| dust2 | 13–4 | 0.08 | 18% | 28 Dec → | |
| basalt | 13–2 | -0.03 | 26% | 24 Dec → | |
| dust2 | 13–10 | 0.08 | 22% | 12 Dec → | |
| train | 9–13 | 0.03 | 23% | 12 Dec → | |
| palais | 9–6 | -0.13 | 0% | 11 Dec → | |
| ancient | 16–14 | 0.06 | 17% | 11 Dec → | |
| nuke | 5–13 | 0.11 | 32% | 10 Dec → | |
| dust2 | 16–14 | 0.09 | 31% | 9 Dec → | |
| inferno | 9–13 | -0.06 | 28% | 5 Dec → | |
| mirage | 14–16 | 0.00 | 19% | 7 Nov → | |
| overpass | 16–8 | 0.00 | 25% | 6 Jul → | |
| mirage | 8–16 | 0.00 | 13% | 30 Jun → | |
| dust2 | 9–16 | 0.00 | 22% | 1 Jun → | |
| dust2 | 16–11 | 0.00 | 32% | 27 May → |
Match data via Leetify.