Sofa — CS2 Stats
76561198394387824[U:1:434122096]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 | 34.6% | 42.5% | 44.2% | 9.6% short |
| Shot accuracy | 10.8% | 10.9% | 11.2% | 0.4% short |
| Kill/death ratio | 1.02 | 0.99 | 1.04 | 0.02 short |
| Match win rate | 39.2% | 44.2% | 45.3% | 6.1% short |
This profile sits below the typical Level 5 player on every metric we can compare.
Widest gap: Headshot 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.
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: -10pp win rate · +0.02 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 ropz 84% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher opening-fight frequency; 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. 586ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
 cache | A | 26 | 16–10 | 62% | 0.03 |
 inferno | A | 15 | 9–6 | 60% | 0.03 |
| office | A | 13 | 8–5 | 62% | 0.06 |
 anubis | C | 10 | 4–6 | 40% | 0.02 |
 nuke | S | 10 | 8–2 | 80% | 0.01 |
 ancient | A | 8 | 5–3 | 63% | 0.07 |
 mirage | B | 6 | 3–3 | 50% | 0.04 |
 vertigo | — | 4 | 3–1 | 75% | 0.07 |
 dust2 | — | 3 | 3–0 | 100% | 0.04 |
 train | — | 3 | 3–0 | 100% | 0.09 |
 overpass | — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis 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 resultsWLLLW
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 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1757% — below the 15% mark we flag
- 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 0.3453 — below the 0.5 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 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–9 | 0.07 | 15% | 25 Aug → | |
| office | 13–6 | 0.05 | 14% | 25 Aug → | |
| inferno | 5–13 | 0.02 | 18% | 9 Aug → | |
| anubis | 8–13 | -0.05 | 16% | 27 Jul → | |
| anubis | 13–10 | 0.01 | 24% | 27 Jul → | |
| mirage | 13–7 | 0.03 | 14% | 19 Jul → | |
| nuke | 13–1 | 0.07 | 19% | 18 Jul → | |
| cache | 13–10 | 0.02 | 10% | 4 Jul → | |
| cache | 2–13 | -0.04 | 33% | 2 Jul → | |
| cache | 13–11 | 0.04 | 19% | 1 Jul → | |
| cache | 13–4 | -0.00 | 17% | 7 Jun → | |
| vertigo | 12–12 | 0.03 | 20% | 7 Jun → | |
| vertigo | 13–5 | 0.02 | 14% | 5 Jun → | |
| anubis | 13–7 | 0.02 | 18% | 1 Jun → | |
| nuke | 13–11 | -0.05 | 6% | 1 Jun → | |
| nuke | 6–13 | -0.06 | 15% | 31 May → | |
| nuke | 13–5 | -0.04 | 13% | 31 May → | |
| nuke | 13–2 | 0.03 | 13% | 30 May → | |
| nuke | 13–7 | 0.01 | 10% | 28 May → | |
| anubis | 13–4 | 0.06 | 16% | 28 May → | |
| anubis | 12–12 | 0.02 | 9% | 28 May → | |
| inferno | 13–11 | 0.04 | 10% | 26 May → | |
| ancient | 13–8 | 0.04 | 12% | 26 May → | |
| mirage | 9–13 | 0.10 | 16% | 21 May → | |
| inferno | 13–5 | -0.01 | 8% | 21 May → | |
| cache | 12–12 | 0.04 | 10% | 19 May → | |
| mirage | 11–13 | -0.00 | 10% | 19 May → | |
| inferno | 13–7 | 0.03 | 15% | 19 May → | |
| mirage | 13–10 | 0.02 | 10% | 19 May → | |
| cache | 13–10 | -0.06 | 10% | 19 May → | |
| inferno | 13–7 | -0.02 | 5% | 18 May → | |
| cache | 8–1 | 0.09 | 5% | 16 May → | |
| office | 13–9 | -0.02 | 19% | 13 May → | |
| office | 8–13 | 0.07 | 17% | 13 May → | |
| office | 13–9 | 0.05 | 20% | 12 May → | |
| office | 13–5 | 0.06 | 7% | 12 May → | |
| cache | 10–13 | -0.08 | 9% | 12 May → | |
| cache | 13–4 | -0.00 | 10% | 11 May → | |
| mirage | 13–10 | 0.05 | 15% | 11 May → | |
| cache | 13–4 | 0.09 | 18% | 11 May → | |
| cache | 13–6 | 0.09 | 24% | 9 May → | |
| inferno | 13–6 | 0.12 | 14% | 9 May → | |
| cache | 13–6 | 0.11 | 24% | 9 May → | |
| nuke | 9–4 | -0.13 | 13% | 8 May → | |
| nuke | 9–2 | 0.21 | 17% | 8 May → | |
| nuke | 9–3 | 0.15 | 12% | 8 May → | |
| inferno | 9–5 | 0.18 | 31% | 8 May → | |
| inferno | 4–9 | -0.16 | 9% | 8 May → | |
| inferno | 9–1 | 0.14 | 29% | 8 May → | |
| cache | 13–4 | 0.06 | 11% | 7 May → | |
| cache | 13–5 | 0.04 | 6% | 7 May → | |
| cache | 13–8 | 0.02 | 22% | 6 May → | |
| cache | 10–13 | -0.00 | 16% | 6 May → | |
| anubis | 7–13 | -0.02 | 17% | 5 May → | |
| cache | 13–4 | 0.13 | 19% | 5 May → | |
| cache | 12–12 | 0.09 | 14% | 2 May → | |
| cache | 9–13 | -0.01 | 14% | 2 May → | |
| cache | 3–13 | -0.05 | 26% | 2 May → | |
| cache | 13–5 | 0.04 | 14% | 2 May → | |
| cache | 13–2 | 0.11 | 15% | 1 May → | |
| cache | 6–13 | 0.03 | 13% | 1 May → | |
| cache | 13–7 | -0.04 | 10% | 1 May → | |
| cache | 12–12 | 0.01 | 10% | 1 May → | |
| cache | 12–12 | 0.10 | 10% | 29 Apr → | |
| dust2 | 13–5 | -0.00 | 4% | 27 Apr → | |
| dust2 | 13–4 | 0.06 | 14% | 27 Apr → | |
| train | 13–8 | 0.11 | 10% | 24 Apr → | |
| train | 13–9 | 0.14 | 18% | 23 Apr → | |
| inferno | 12–12 | 0.06 | 15% | 21 Apr → | |
| office | 10–13 | 0.03 | 11% | 21 Apr → | |
| ancient | 13–3 | 0.15 | 13% | 16 Apr → | |
| train | 13–6 | 0.02 | 14% | 15 Apr → | |
| nuke | 5–13 | -0.09 | 20% | 15 Apr → | |
| mirage | 12–12 | 0.06 | 22% | 12 Apr → | |
| vertigo | 13–5 | 0.12 | 12% | 12 Apr → | |
| vertigo | 13–6 | 0.11 | 13% | 10 Apr → | |
| inferno | 12–12 | -0.03 | 10% | 5 Apr → | |
| anubis | 13–6 | 0.05 | 19% | 5 Apr → | |
| office | 5–13 | 0.03 | 21% | 4 Apr → | |
| office | 10–13 | 0.05 | 19% | 4 Apr → | |
| office | 13–3 | 0.15 | 17% | 4 Apr → | |
| anubis | 11–13 | 0.05 | 12% | 3 Apr → | |
| office | 13–6 | 0.10 | 15% | 29 Mar → | |
| office | 13–10 | 0.10 | 18% | 29 Mar → | |
| ancient | 13–6 | 0.06 | 16% | 22 Mar → | |
| anubis | 6–13 | -0.00 | 14% | 22 Mar → | |
| inferno | 13–5 | 0.03 | 7% | 19 Mar → | |
| ancient | 5–13 | 0.03 | 18% | 19 Mar → | |
| overpass | 7–13 | 0.15 | 13% | 19 Mar → | |
| overpass | 13–8 | -0.06 | 20% | 17 Mar → | |
| dust2 | 13–3 | 0.06 | 15% | 17 Mar → | |
| inferno | 13–11 | 0.10 | 11% | 17 Mar → | |
| inferno | 10–13 | -0.00 | 18% | 17 Mar → | |
| anubis | 11–13 | 0.05 | 11% | 16 Mar → | |
| ancient | 13–3 | -0.02 | 16% | 16 Mar → | |
| ancient | 4–13 | -0.06 | 15% | 16 Mar → | |
| ancient | 3–2 | 0.29 | 24% | 16 Mar → | |
| ancient | 3–13 | 0.09 | 9% | 16 Mar → | |
| inferno | 15–15 | 0.02 | 15% | 15 Mar → | |
| office | 3–13 | -0.02 | 14% | 15 Mar → |
Match data via Leetify.