Obscurity — CS2 Stats
76561199069667513[U:1:1109401785]✓ No bans
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingEffective flashesLimited 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 NiKo 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Flashes. 0.84 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 668ms 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 6.4/10 (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 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 | B | 58 | 27–31 | 47% | 0.00 |
 cache | D | 24 | 8–16 | 33% | 0.01 |
 ancient | C | 11 | 4–7 | 36% | 0.00 |
 nuke | — | 2 | 0–2 | 0% | 0.04 |
 dust2 | — | 2 | 0–2 | 0% | -0.02 |
 vertigo | — | 1 | 0–1 | 0% | -0.06 |
 train | — | 1 | 0–1 | 0% | 0.04 |
 anubis | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 0.89 | 16.8 |
| Inferno | 3 | 33% | 0.84 | 14.3 |
| Anubis | 3 | 67% | 0.90 | 16.3 |
| Nuke | 2 | 0% | 0.63 | 10.0 |
| Ancient | 1 | 0% | 1.00 | 18.0 |
| Vertigo | 1 | 0% | 0.57 | 8.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.3245 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 12–12 | 0.00 | 20% | 21 Aug → | |
| ancient | 10–13 | -0.03 | 17% | 21 Aug → | |
| mirage | 13–9 | -0.05 | 14% | 21 Aug → | |
| ancient | 13–10 | -0.05 | 14% | 21 Aug → | |
| mirage | 12–12 | 0.04 | 16% | 21 Aug → | |
| mirage | 9–13 | -0.03 | 14% | 21 Aug → | |
| mirage | 13–6 | -0.00 | 35% | 21 Aug → | |
| mirage | 13–1 | -0.00 | 29% | 20 Aug → | |
| mirage | 13–10 | 0.04 | 29% | 20 Aug → | |
| mirage | 7–13 | -0.02 | 18% | 20 Aug → | |
| mirage | 13–6 | 0.06 | 29% | 20 Aug → | |
| mirage | 13–5 | -0.07 | 23% | 28 Jul → | |
| mirage | 6–13 | -0.08 | 18% | 10 Jul → | |
| mirage | 13–9 | 0.11 | 29% | 10 Jul → | |
| cache | 6–1 | 0.01 | 15% | 10 Jul → | |
| ancient | 13–6 | 0.19 | 42% | 10 Jul → | |
| mirage | 13–7 | 0.01 | 38% | 9 Jul → | |
| mirage | 13–6 | -0.07 | 27% | 9 Jul → | |
| mirage | 5–13 | -0.02 | 17% | 9 Jul → | |
| mirage | 12–12 | 0.05 | 28% | 9 Jul → | |
| mirage | 4–13 | -0.06 | 31% | 9 Jul → | |
| mirage | 12–12 | 0.01 | 23% | 9 Jul → | |
| mirage | 13–9 | -0.01 | 18% | 8 Jul → | |
| mirage | 11–13 | -0.01 | 18% | 8 Jul → | |
| mirage | 9–13 | -0.03 | 25% | 8 Jul → | |
| mirage | 7–13 | -0.01 | 16% | 8 Jul → | |
| mirage | 13–5 | 0.02 | 13% | 1 Jul → | |
| mirage | 12–12 | -0.01 | 20% | 1 Jul → | |
| mirage | 13–5 | 0.05 | 22% | 1 Jul → | |
| mirage | 13–3 | -0.00 | 23% | 1 Jul → | |
| mirage | 8–13 | -0.03 | 22% | 1 Jul → | |
| mirage | 13–5 | -0.06 | 26% | 1 Jul → | |
| mirage | 13–5 | 0.03 | 20% | 30 Jun → | |
| mirage | 11–13 | -0.04 | 30% | 30 Jun → | |
| ancient | 6–13 | -0.04 | 24% | 23 Jun → | |
| mirage | 10–13 | 0.02 | 23% | 23 Jun → | |
| mirage | 13–7 | 0.07 | 23% | 23 Jun → | |
| mirage | 10–13 | -0.02 | 14% | 23 Jun → | |
| mirage | 13–3 | 0.01 | 19% | 17 Jun → | |
| mirage | 13–10 | -0.02 | 26% | 17 Jun → | |
| mirage | 13–10 | 0.05 | 31% | 17 Jun → | |
| mirage | 13–4 | -0.01 | 32% | 16 Jun → | |
| mirage | 4–13 | -0.05 | 14% | 16 Jun → | |
| cache | 5–13 | -0.07 | 27% | 16 Jun → | |
| cache | 7–13 | -0.04 | 29% | 16 Jun → | |
| mirage | 9–13 | 0.03 | 19% | 9 Jun → | |
| cache | 13–1 | -0.00 | 26% | 8 Jun → | |
| ancient | 12–12 | -0.05 | 28% | 8 Jun → | |
| cache | 13–5 | -0.02 | 17% | 3 Jun → | |
| cache | 10–13 | 0.01 | 20% | 27 May → | |
| ancient | 5–13 | -0.07 | 13% | 27 May → | |
| cache | 12–12 | 0.05 | 24% | 22 May → | |
| cache | 12–12 | 0.10 | 31% | 22 May → | |
| ancient | 13–1 | 0.06 | 15% | 22 May → | |
| cache | 8–13 | -0.01 | 26% | 21 May → | |
| cache | 6–13 | 0.05 | 24% | 19 May → | |
| mirage | 5–13 | -0.03 | 35% | 19 May → | |
| cache | 13–5 | 0.07 | 32% | 14 May → | |
| mirage | 4–13 | -0.05 | 9% | 14 May → | |
| mirage | 12–12 | -0.06 | 28% | 12 May → | |
| cache | 11–13 | -0.09 | 30% | 12 May → | |
| cache | 6–13 | 0.09 | 27% | 7 May → | |
| cache | 2–13 | 0.01 | 17% | 7 May → | |
| cache | 3–13 | -0.09 | 9% | 6 May → | |
| cache | 13–11 | 0.02 | 34% | 6 May → | |
| cache | 13–7 | -0.00 | 26% | 6 May → | |
| cache | 6–13 | -0.05 | 21% | 6 May → | |
| cache | 13–4 | 0.08 | 20% | 5 May → | |
| cache | 13–11 | 0.03 | 30% | 5 May → | |
| cache | 9–13 | 0.02 | 35% | 5 May → | |
| cache | 7–13 | 0.03 | 13% | 30 Apr → | |
| cache | 8–13 | 0.08 | 30% | 29 Apr → | |
| cache | 10–13 | -0.03 | 14% | 29 Apr → | |
| mirage | 9–13 | -0.04 | 15% | 28 Apr → | |
| ancient | 13–7 | -0.05 | 24% | 28 Apr → | |
| ancient | 6–13 | 0.02 | 25% | 28 Apr → | |
| mirage | 12–12 | 0.06 | 31% | 15 Apr → | |
| mirage | 13–4 | 0.02 | 19% | 15 Apr → | |
| mirage | 10–5 | -0.02 | 28% | 15 Apr → | |
| ancient | 5–3 | 0.05 | 33% | 14 Apr → | |
| mirage | 6–13 | 0.01 | 23% | 9 Apr → | |
| vertigo | 4–13 | -0.06 | 7% | 9 Apr → | |
| mirage | 10–13 | -0.00 | 20% | 9 Apr → | |
| mirage | 11–13 | -0.00 | 13% | 9 Apr → | |
| mirage | 10–13 | 0.10 | 19% | 8 Apr → | |
| mirage | 13–7 | -0.00 | 22% | 8 Apr → | |
| mirage | 9–13 | -0.05 | 24% | 7 Apr → | |
| mirage | 13–3 | 0.18 | 20% | 7 Apr → | |
| nuke | 11–13 | 0.07 | 21% | 3 Apr → | |
| train | 4–13 | 0.04 | 26% | 2 Apr → | |
| dust2 | 9–13 | -0.06 | 20% | 2 Apr → | |
| nuke | 9–13 | 0.02 | 14% | 2 Apr → | |
| dust2 | 4–13 | 0.02 | 12% | 2 Apr → | |
| mirage | 13–7 | 0.04 | 20% | 2 Apr → | |
| mirage | 13–5 | 0.01 | 16% | 2 Apr → | |
| ancient | 12–12 | 0.01 | 35% | 2 Apr → | |
| mirage | 13–10 | -0.04 | 18% | 1 Apr → | |
| mirage | 12–12 | -0.01 | 31% | 1 Apr → | |
| anubis | 9–13 | 0.05 | 17% | 1 Apr → | |
| mirage | 2–9 | 0.03 | 37% | 31 Mar → |
Match data via Leetify.
