Chami — CS2 Stats
BR76561197989174221[U:1:28908493]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 38.9% | 42.7% | 44.0% | 5.1% short |
| Shot accuracy | 16.8% | 10.8% | 11.6% | above |
| Kill/death ratio | 1.04 | 1.00 | 1.03 | meets |
| Match win rate | 38.1% | 44.1% | 45.1% | 7.0% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 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: -30pp win rate · +0.01 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 Twistzz 87% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 707ms 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 5.0/10 (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 |
|---|---|---|---|---|---|
| B | 24 | 12–12 | 50% | 0.03 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| A | 5 | 3–2 | 60% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 1.14 | 14.0 |
| Inferno | 2 | 100% | 1.52 | 21.0 |
| Anubis | 1 | 100% | 0.50 | 9.0 |
| Dust2 | 1 | 0% | 1.13 | 17.0 |
| Ancient | 1 | 100% | 2.17 | 13.0 |
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 707.2605ms — above the 700ms mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.1446% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.02 | 21% | 19 Jul → | ||
| 5–13 | 0.00 | 20% | 19 Jul → | ||
| 11–13 | -0.03 | 10% | 19 Jul → | ||
| 10–13 | -0.02 | 19% | 19 Jul → | ||
| 9–13 | -0.06 | 17% | 18 Jul → | ||
| 13–9 | 0.00 | 20% | 18 Jul → | ||
| 16–13 | 0.02 | 15% | 16 Jul → | ||
| 13–10 | 0.13 | 24% | 16 Jul → | ||
| 8–13 | 0.03 | 11% | 14 Jul → | ||
| 13–2 | 0.12 | 14% | 13 Jul → | ||
| 13–8 | 0.04 | 20% | 12 Jul → | ||
| 14–16 | -0.02 | 18% | 12 Jul → | ||
| 10–13 | 0.12 | 26% | 11 Jul → | ||
| 3–13 | -0.04 | 14% | 11 Jul → | ||
| 13–6 | -0.00 | 8% | 11 Jul → | ||
| 13–6 | 0.03 | 19% | 9 Jul → | ||
| 9–5 | -0.00 | 24% | 3 Jul → | ||
| 13–8 | -0.09 | 31% | 3 Jul → | ||
| 13–9 | 0.01 | 13% | 2 Jul → | ||
| 13–10 | 0.06 | 17% | 30 Jun → | ||
| 3–13 | -0.05 | 17% | 4 Jun → | ||
| 11–13 | -0.02 | 13% | 3 Jun → | ||
| 10–13 | -0.04 | 13% | 16 May → | ||
| 7–13 | 0.03 | 19% | 15 May → | ||
| 13–16 | -0.01 | 16% | 10 May → | ||
| 9–13 | -0.05 | 12% | 6 May → | ||
| 13–10 | 0.02 | 16% | 4 May → | ||
| 4–13 | -0.03 | 32% | 2 May → | ||
| 8–13 | -0.07 | 13% | 1 May → | ||
| 10–13 | 0.00 | 14% | 30 Apr → | ||
| 13–6 | 0.16 | 22% | 30 Apr → | ||
| 13–9 | 0.02 | 17% | 22 Apr → | ||
| 15–15 | 0.00 | 19% | 10 Apr → | ||
| 13–8 | 0.01 | 7% | 10 Apr → | ||
| 11–13 | -0.03 | 21% | 10 Apr → | ||
| 3–13 | -0.03 | 30% | 10 Apr → | ||
| 13–9 | 0.04 | 20% | 9 Apr → | ||
| 14–16 | 0.05 | 23% | 8 Apr → | ||
| 13–6 | 0.06 | 20% | 8 Apr → | ||
| 13–11 | 0.02 | 21% | 8 Apr → | ||
| 15–15 | -0.01 | 15% | 7 Apr → | ||
| 3–13 | 0.00 | 13% | 7 Apr → | ||
| 11–13 | -0.00 | 13% | 3 Apr → | ||
| 13–5 | 0.03 | 13% | 3 Apr → | ||
| 13–9 | 0.02 | 19% | 3 Apr → | ||
| 12–16 | -0.03 | 34% | 2 Apr → | ||
| 11–13 | 0.04 | 30% | 26 Mar → | ||
| 3–13 | 0.01 | 9% | 26 Mar → | ||
| 13–9 | -0.01 | 21% | 26 Mar → | ||
| 16–13 | 0.04 | 22% | 26 Mar → | ||
| 13–8 | 0.06 | 20% | 25 Mar → | ||
| 7–13 | 0.01 | 15% | 25 Mar → | ||
| 13–11 | 0.00 | 21% | 24 Mar → | ||
| 15–15 | -0.02 | 20% | 23 Mar → | ||
| 13–10 | 0.00 | 18% | 23 Mar → | ||
| 13–11 | 0.04 | 10% | 22 Mar → | ||
| 4–13 | -0.05 | 15% | 21 Mar → | ||
| 13–9 | -0.04 | 19% | 21 Mar → | ||
| 15–15 | 0.01 | 9% | 20 Mar → | ||
| 16–13 | 0.05 | 17% | 20 Mar → | ||
| 13–10 | -0.01 | 9% | 19 Mar → | ||
| 13–6 | 0.01 | 17% | 19 Mar → | ||
| 13–3 | 0.11 | 20% | 18 Mar → | ||
| 13–8 | -0.03 | 40% | 16 Mar → | ||
| 13–6 | 0.06 | 26% | 15 Mar → | ||
| 10–13 | 0.03 | 24% | 15 Mar → | ||
| 15–15 | 0.00 | 24% | 15 Mar → | ||
| 13–9 | 0.08 | 26% | 15 Mar → | ||
| 8–1 | 0.02 | 13% | 15 Mar → | ||
| 13–7 | 0.05 | 17% | 15 Mar → | ||
| 13–10 | 0.03 | 26% | 15 Mar → | ||
| 14–16 | 0.07 | 26% | 15 Mar → | ||
| 8–13 | -0.01 | 14% | 15 Mar → | ||
| 8–0 | 0.04 | 15% | 14 Mar → | ||
| 16–14 | 0.05 | 25% | 14 Mar → | ||
| 16–14 | -0.01 | 19% | 14 Mar → | ||
| 16–13 | -0.01 | 23% | 14 Mar → | ||
| 11–13 | 0.06 | 35% | 14 Mar → | ||
| 14–16 | -0.02 | 16% | 13 Mar → | ||
| 3–5 | 0.05 | 26% | 13 Mar → | ||
| 10–13 | 0.02 | 16% | 13 Mar → | ||
| 14–16 | -0.04 | 22% | 12 Mar → | ||
| 13–4 | 0.03 | 21% | 11 Mar → | ||
| 6–13 | 0.03 | 24% | 11 Mar → | ||
| 13–7 | 0.01 | 20% | 2 Mar → | ||
| 13–3 | 0.14 | 12% | 2 Mar → | ||
| 13–3 | 0.07 | 33% | 2 Mar → | ||
| 13–11 | -0.03 | 22% | 1 Mar → | ||
| 14–16 | 0.04 | 17% | 1 Mar → | ||
| 13–1 | 0.04 | 17% | 1 Mar → | ||
| 13–16 | -0.04 | 18% | 1 Mar → | ||
| 13–5 | 0.07 | 22% | 1 Mar → | ||
| 13–11 | 0.04 | 28% | 28 Feb → | ||
| 11–13 | -0.07 | 24% | 28 Feb → | ||
| 13–5 | -0.03 | 19% | 27 Feb → | ||
| 13–9 | -0.02 | 18% | 27 Feb → | ||
| 10–13 | 0.04 | 18% | 24 Feb → | ||
| 13–5 | 0.14 | 14% | 23 Feb → | ||
| 10–13 | -0.00 | 14% | 23 Feb → | ||
| 6–13 | -0.00 | 21% | 23 Feb → |
Match data via Leetify.