(De-Gloved) — CS2 Stats
US76561198090603093[U:1:130337365]Steam profile ↗✓ No bans
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: +20pp win rate · +0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 87% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 604ms 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 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 22 | 13–9 | 59% | 0.00 |
 dust2 | A | 18 | 10–8 | 56% | -0.01 |
 nuke | A | 17 | 10–7 | 59% | -0.01 |
 ancient | S | 14 | 10–4 | 71% | -0.01 |
 anubis | D | 9 | 2–7 | 22% | -0.02 |
 inferno | C | 7 | 3–4 | 43% | -0.01 |
 mirage | A | 7 | 4–3 | 57% | -0.03 |
 train | — | 4 | 3–1 | 75% | 0.02 |
 vertigo | — | 2 | 1–1 | 50% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (22% over 9). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 23 | 52% | 1.15 | 14.7 |
| Anubis | 14 | 79% | 1.10 | 15.4 |
| Nuke | 12 | 42% | 1.14 | 15.1 |
| Ancient | 11 | 45% | 0.84 | 12.7 |
| Inferno | 10 | 50% | 0.94 | 14.8 |
| Train | 7 | 71% | 1.21 | 16.6 |
| Mirage | 5 | 20% | 0.83 | 15.0 |
| Overpass | 3 | 33% | 0.76 | 9.7 |
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.
- 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 26.5298% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–9 | -0.03 | 18% | 21 Aug → | |
| cache | 10–13 | -0.00 | 9% | 19 Aug → | |
| cache | 13–5 | 0.01 | 11% | 19 Aug → | |
| cache | 13–8 | 0.10 | 29% | 18 Aug → | |
| cache | 11–13 | 0.08 | 20% | 18 Aug → | |
| inferno | 5–13 | -0.06 | 12% | 18 Aug → | |
| mirage | 16–13 | -0.01 | 18% | 17 Aug → | |
| anubis | 8–13 | -0.01 | 13% | 17 Aug → | |
| nuke | 13–11 | 0.01 | 30% | 16 Aug → | |
| train | 13–6 | 0.03 | 13% | 16 Aug → | |
| train | 13–10 | 0.03 | 11% | 16 Aug → | |
| cache | 4–13 | 0.01 | 17% | 16 Aug → | |
| train | 9–13 | 0.01 | 36% | 16 Aug → | |
| inferno | 1–13 | -0.09 | 0% | 14 Aug → | |
| mirage | 13–9 | -0.06 | 12% | 14 Aug → | |
| nuke | 13–7 | 0.00 | 18% | 14 Aug → | |
| cache | 8–13 | -0.01 | 17% | 13 Aug → | |
| anubis | 11–13 | -0.04 | 22% | 13 Aug → | |
| cache | 13–2 | 0.01 | 24% | 13 Aug → | |
| ancient | 5–13 | -0.01 | 20% | 10 Aug → | |
| ancient | 9–1 | -0.05 | 33% | 9 Aug → | |
| cache | 7–13 | -0.10 | 20% | 9 Aug → | |
| dust2 | 13–6 | -0.03 | 21% | 9 Aug → | |
| dust2 | 9–13 | -0.08 | 20% | 9 Aug → | |
| inferno | 11–13 | 0.03 | 20% | 9 Aug → | |
| ancient | 13–5 | 0.01 | 14% | 4 Aug → | |
| cache | 11–13 | 0.00 | 26% | 31 Jul → | |
| cache | 13–11 | 0.10 | 34% | 31 Jul → | |
| ancient | 13–5 | -0.00 | 42% | 31 Jul → | |
| nuke | 3–13 | 0.02 | 26% | 31 Jul → | |
| mirage | 11–13 | -0.03 | 17% | 30 Jul → | |
| inferno | 16–12 | 0.01 | 16% | 30 Jul → | |
| cache | 13–10 | 0.02 | 31% | 30 Jul → | |
| inferno | 13–6 | 0.09 | 23% | 30 Jul → | |
| cache | 13–11 | 0.03 | 19% | 30 Jul → | |
| mirage | 9–13 | -0.06 | 14% | 29 Jul → | |
| dust2 | 13–16 | -0.04 | 16% | 29 Jul → | |
| anubis | 11–13 | -0.08 | 8% | 29 Jul → | |
| ancient | 13–7 | -0.01 | 22% | 29 Jul → | |
| nuke | 10–13 | -0.00 | 17% | 29 Jul → | |
| dust2 | 13–8 | -0.02 | 19% | 29 Jul → | |
| dust2 | 13–10 | -0.03 | 26% | 28 Jul → | |
| cache | 13–2 | -0.03 | 11% | 28 Jul → | |
| dust2 | 2–13 | -0.01 | 19% | 28 Jul → | |
| mirage | 13–9 | -0.03 | 31% | 28 Jul → | |
| cache | 13–11 | -0.02 | 21% | 28 Jul → | |
| ancient | 8–13 | -0.03 | 21% | 28 Jul → | |
| anubis | 6–13 | -0.05 | 21% | 28 Jul → | |
| nuke | 16–12 | -0.03 | 9% | 27 Jul → | |
| ancient | 13–11 | -0.02 | 18% | 27 Jul → | |
| nuke | 14–16 | 0.06 | 23% | 27 Jul → | |
| nuke | 13–7 | -0.01 | 10% | 27 Jul → | |
| ancient | 7–13 | -0.05 | 24% | 27 Jul → | |
| vertigo | 9–13 | 0.05 | 28% | 26 Jul → | |
| train | 13–7 | 0.02 | 16% | 26 Jul → | |
| dust2 | 7–13 | -0.03 | 18% | 26 Jul → | |
| nuke | 13–10 | -0.02 | 15% | 26 Jul → | |
| ancient | 13–6 | 0.06 | 20% | 26 Jul → | |
| dust2 | 13–5 | 0.03 | 22% | 26 Jul → | |
| cache | 13–6 | -0.01 | 20% | 25 Jul → | |
| nuke | 13–9 | -0.01 | 29% | 25 Jul → | |
| nuke | 0–13 | -0.09 | 30% | 24 Jul → | |
| nuke | 13–4 | 0.08 | 13% | 24 Jul → | |
| ancient | 13–8 | 0.05 | 16% | 24 Jul → | |
| cache | 13–6 | 0.05 | 25% | 24 Jul → | |
| cache | 13–10 | 0.01 | 12% | 24 Jul → | |
| cache | 2–13 | -0.04 | 0% | 24 Jul → | |
| dust2 | 11–13 | -0.04 | 25% | 24 Jul → | |
| nuke | 13–9 | 0.00 | 23% | 24 Jul → | |
| ancient | 13–7 | 0.02 | 16% | 24 Jul → | |
| inferno | 13–9 | 0.04 | 25% | 23 Jul → | |
| cache | 9–13 | -0.07 | 15% | 23 Jul → | |
| dust2 | 13–11 | 0.04 | 16% | 23 Jul → | |
| anubis | 6–13 | -0.08 | 29% | 21 Jul → | |
| nuke | 4–13 | -0.04 | 23% | 21 Jul → | |
| anubis | 9–13 | 0.07 | 9% | 20 Jul → | |
| inferno | 5–13 | -0.09 | 18% | 20 Jul → | |
| anubis | 13–2 | 0.04 | 14% | 20 Jul → | |
| ancient | 9–13 | -0.06 | 17% | 20 Jul → | |
| dust2 | 13–5 | -0.02 | 10% | 20 Jul → | |
| nuke | 5–13 | -0.03 | 18% | 20 Jul → | |
| cache | 13–8 | -0.07 | 9% | 20 Jul → | |
| cache | 15–15 | 0.01 | 18% | 20 Jul → | |
| mirage | 13–7 | -0.01 | 23% | 20 Jul → | |
| anubis | 13–8 | 0.01 | 16% | 20 Jul → | |
| dust2 | 3–13 | -0.04 | 18% | 20 Jul → | |
| mirage | 11–13 | -0.03 | 13% | 19 Jul → | |
| vertigo | 13–10 | 0.12 | 26% | 19 Jul → | |
| nuke | 8–13 | -0.03 | 31% | 19 Jul → | |
| anubis | 0–13 | -0.02 | 0% | 19 Jul → | |
| dust2 | 13–5 | 0.13 | 25% | 19 Jul → | |
| ancient | 13–2 | 0.01 | 29% | 19 Jul → | |
| cache | 13–9 | -0.01 | 31% | 18 Jul → | |
| dust2 | 11–13 | -0.01 | 35% | 18 Jul → | |
| nuke | 13–11 | 0.02 | 28% | 18 Jul → | |
| nuke | 13–6 | -0.05 | 16% | 18 Jul → | |
| dust2 | 13–9 | 0.04 | 20% | 18 Jul → | |
| dust2 | 9–13 | 0.00 | 21% | 17 Jul → | |
| ancient | 13–11 | -0.01 | 22% | 17 Jul → | |
| dust2 | 16–14 | -0.02 | 18% | 17 Jul → |
Match data via Leetify.