Inhuman Degenerate — CS2 Stats
CZ76561198813267223[U:1:853001495]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 40.3% | 46.1% | 47.0% | 6.7% short |
| Shot accuracy | 11.7% | 12.6% | 12.7% | 1.0% short |
| Kill/death ratio | 0.97 | 1.05 | 1.07 | 0.10 short |
| Match win rate | 49.7% | 45.7% | 46.4% | above |
This profile matches the typical Level 8 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 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: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerReliable in 1v1s
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 NiKo 84% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 51% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 |
|---|---|---|---|---|---|
 mirage | C | 30 | 12–18 | 40% | -0.01 |
 inferno | D | 21 | 6–15 | 29% | 0.00 |
 cache | B | 19 | 10–9 | 53% | -0.00 |
 dust2 | B | 13 | 6–7 | 46% | -0.02 |
 anubis | B | 8 | 4–4 | 50% | -0.02 |
 overpass | — | 4 | 1–3 | 25% | -0.01 |
 ancient | — | 2 | 1–1 | 50% | -0.00 |
 nuke | — | 1 | 0–1 | 0% | -0.01 |
 train | — | 1 | 1–0 | 100% | 0.04 |
| office | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 21). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 6 | 33% | 0.88 | 14.0 |
| Anubis | 5 | 80% | 0.96 | 17.0 |
| Inferno | 3 | 67% | 1.67 | 19.0 |
| Dust2 | 3 | 100% | 1.21 | 20.3 |
| Vertigo | 2 | 100% | 1.28 | 17.0 |
| Ancient | 2 | 50% | 1.26 | 17.0 |
| Overpass | 2 | 0% | 0.62 | 11.0 |
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 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 14.225% — below the 15% mark we flag
- 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 33.6168% — 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.
29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–16 | -0.02 | 15% | 25 Aug → | |
| inferno | 7–13 | -0.00 | 11% | 25 Aug → | |
| mirage | 10–13 | -0.01 | 16% | 25 Aug → | |
| inferno | 13–8 | 0.05 | 15% | 24 Aug → | |
| mirage | 16–14 | -0.01 | 15% | 9 Aug → | |
| dust2 | 5–13 | -0.05 | 16% | 6 Aug → | |
| ancient | 6–13 | 0.02 | 8% | 1 Aug → | |
| mirage | 9–13 | -0.09 | 16% | 1 Aug → | |
| cache | 13–7 | -0.02 | 6% | 23 Jul → | |
| mirage | 13–8 | -0.01 | 15% | 23 Jul → | |
| inferno | 8–8 | 0.00 | 25% | 23 Jul → | |
| mirage | 13–7 | -0.07 | 11% | 22 Jul → | |
| mirage | 13–10 | -0.03 | 9% | 13 Jul → | |
| cache | 12–12 | -0.06 | 13% | 12 Jul → | |
| cache | 13–11 | -0.02 | 15% | 8 Jul → | |
| dust2 | 13–3 | -0.00 | 25% | 7 Jul → | |
| mirage | 7–13 | 0.00 | 17% | 5 Jul → | |
| anubis | 13–10 | -0.03 | 19% | 5 Jul → | |
| mirage | 13–4 | 0.06 | 23% | 5 Jul → | |
| inferno | 5–13 | -0.03 | 16% | 29 Jun → | |
| cache | 13–7 | -0.00 | 29% | 29 Jun → | |
| mirage | 13–10 | 0.00 | 9% | 24 Jun → | |
| mirage | 15–15 | -0.05 | 9% | 18 Jun → | |
| cache | 13–5 | -0.01 | 17% | 17 Jun → | |
| ancient | 13–7 | -0.03 | 8% | 10 Jun → | |
| cache | 6–13 | -0.01 | 15% | 10 Jun → | |
| inferno | 9–13 | -0.02 | 14% | 10 Jun → | |
| mirage | 12–12 | -0.02 | 8% | 3 Jun → | |
| cache | 10–13 | -0.05 | 17% | 3 Jun → | |
| cache | 12–12 | 0.05 | 17% | 27 May → | |
| cache | 13–8 | -0.02 | 10% | 27 May → | |
| cache | 13–10 | -0.05 | 25% | 17 May → | |
| mirage | 4–13 | -0.02 | 33% | 13 May → | |
| cache | 13–8 | 0.03 | 10% | 13 May → | |
| cache | 9–13 | 0.05 | 13% | 13 May → | |
| cache | 5–13 | -0.03 | 10% | 13 May → | |
| inferno | 8–8 | 0.12 | 11% | 5 May → | |
| mirage | 13–10 | 0.04 | 17% | 5 May → | |
| cache | 13–11 | 0.02 | 14% | 4 May → | |
| cache | 11–13 | 0.02 | 13% | 4 May → | |
| cache | 13–11 | 0.01 | 17% | 29 Apr → | |
| cache | 3–13 | 0.05 | 16% | 29 Apr → | |
| cache | 13–11 | -0.01 | 12% | 29 Apr → | |
| cache | 9–13 | -0.01 | 15% | 29 Apr → | |
| dust2 | 11–13 | -0.05 | 16% | 28 Apr → | |
| mirage | 8–13 | 0.06 | 9% | 28 Apr → | |
| dust2 | 13–11 | -0.02 | 11% | 20 Apr → | |
| mirage | 11–13 | -0.01 | 11% | 13 Apr → | |
| inferno | 11–13 | 0.05 | 15% | 12 Apr → | |
| anubis | 13–10 | -0.03 | 7% | 6 Apr → | |
| mirage | 13–9 | -0.03 | 18% | 6 Apr → | |
| inferno | 5–13 | -0.07 | 7% | 6 Apr → | |
| mirage | 11–13 | -0.06 | 14% | 30 Mar → | |
| mirage | 14–16 | 0.01 | 16% | 18 Mar → | |
| mirage | 13–7 | 0.05 | 19% | 18 Mar → | |
| inferno | 8–13 | 0.01 | 8% | 18 Mar → | |
| inferno | 13–6 | -0.00 | 15% | 17 Mar → | |
| anubis | 12–16 | -0.00 | 21% | 16 Mar → | |
| mirage | 11–13 | 0.03 | 19% | 16 Mar → | |
| inferno | 15–15 | 0.06 | 17% | 16 Mar → | |
| mirage | 0–8 | 0.01 | 31% | 16 Mar → | |
| mirage | 11–13 | 0.00 | 11% | 16 Mar → | |
| overpass | 11–13 | 0.03 | 14% | 15 Mar → | |
| dust2 | 13–5 | 0.04 | 32% | 15 Mar → | |
| dust2 | 13–2 | 0.01 | 12% | 15 Mar → | |
| dust2 | 13–6 | -0.06 | 15% | 11 Mar → | |
| mirage | 12–12 | -0.02 | 21% | 10 Mar → | |
| overpass | 14–16 | -0.01 | 11% | 9 Mar → | |
| overpass | 13–11 | -0.06 | 12% | 7 Mar → | |
| mirage | 13–9 | -0.03 | 25% | 7 Mar → | |
| mirage | 7–13 | -0.06 | 10% | 7 Mar → | |
| anubis | 15–15 | 0.02 | 10% | 7 Mar → | |
| dust2 | 13–4 | 0.06 | 20% | 7 Mar → | |
| dust2 | 7–13 | -0.02 | 24% | 7 Mar → | |
| anubis | 14–16 | -0.04 | 13% | 5 Mar → | |
| nuke | 3–10 | -0.01 | 0% | 4 Mar → | |
| dust2 | 13–16 | -0.09 | 14% | 4 Mar → | |
| mirage | 3–13 | -0.02 | 10% | 4 Mar → | |
| dust2 | 10–13 | -0.06 | 11% | 3 Mar → | |
| overpass | 11–13 | 0.02 | 12% | 3 Mar → | |
| inferno | 13–11 | -0.01 | 11% | 2 Mar → | |
| anubis | 7–13 | -0.02 | 10% | 2 Mar → | |
| inferno | 5–13 | -0.08 | 17% | 1 Mar → | |
| anubis | 2–4 | -0.05 | 14% | 1 Mar → | |
| train | 13–9 | 0.04 | 21% | 1 Mar → | |
| inferno | 2–13 | -0.11 | 13% | 1 Mar → | |
| dust2 | 8–13 | -0.02 | 12% | 27 Feb → | |
| mirage | 11–13 | 0.02 | 17% | 27 Feb → | |
| anubis | 13–8 | 0.03 | 13% | 27 Feb → | |
| inferno | 13–6 | 0.04 | 17% | 27 Feb → | |
| dust2 | 7–13 | -0.01 | 15% | 26 Feb → | |
| inferno | 13–10 | -0.00 | 13% | 26 Feb → | |
| inferno | 9–13 | -0.00 | 21% | 26 Feb → | |
| mirage | 13–3 | 0.09 | 9% | 26 Feb → | |
| mirage | 16–13 | 0.02 | 12% | 25 Feb → | |
| mirage | 3–13 | -0.02 | 18% | 25 Feb → | |
| office | 12–12 | -0.05 | 21% | 25 Feb → | |
| inferno | 8–13 | -0.01 | 3% | 25 Feb → | |
| inferno | 13–4 | 0.10 | 19% | 24 Feb → | |
| inferno | 2–13 | -0.07 | 5% | 24 Feb → |
Match data via Leetify.
