n0rb3r7 — CS2 Stats
PRO“63”HOTUArmeniaRiflerSettings & gear profile →
AM76561198222442504[U:1:262176776]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,957
- Next: 4,000 ELO at 4,000 — 43 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 95% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 33 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.
T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 28 | 16–12 | 57% | 0.00 | |
| S | 22 | 15–7 | 68% | 0.01 | |
| A | 15 | 9–6 | 60% | 0.02 | |
| S | 13 | 10–3 | 77% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.02 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 627 | 60% | 1.33 | 18.2 |
| Ancient | 337 | 61% | 1.31 | 18.3 |
| Dust2 | 284 | 64% | 1.30 | 18.3 |
| Anubis | 227 | 57% | 1.24 | 18.0 |
| Overpass | 78 | 72% | 1.50 | 19.3 |
| Nuke | 73 | 74% | 1.51 | 19.0 |
| Train | 55 | 71% | 1.80 | 20.8 |
| Vertigo | 43 | 58% | 1.20 | 17.4 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4272 — below the 0.5 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 33.4503% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.03 | 13% | 26 Aug → | ||
| 13–10 | 0.06 | 20% | 26 Aug → | ||
| 13–9 | -0.03 | 33% | 24 Aug → | ||
| 13–8 | 0.05 | 24% | 24 Aug → | ||
| 10–13 | 0.00 | 25% | 24 Aug → | ||
| 13–9 | -0.01 | 16% | 24 Aug → | ||
| 13–6 | 0.03 | 29% | 24 Aug → | ||
| 13–9 | -0.04 | 24% | 23 Aug → | ||
| 9–13 | 0.00 | 18% | 23 Aug → | ||
| 13–8 | -0.03 | 26% | 23 Aug → | ||
| 13–1 | 0.03 | 8% | 21 Aug → | ||
| 13–2 | 0.05 | 33% | 20 Aug → | ||
| 13–10 | -0.01 | 18% | 17 Aug → | ||
| 9–13 | -0.02 | 38% | 15 Aug → | ||
| 11–13 | -0.01 | 16% | 9 Aug → | ||
| 9–13 | -0.02 | 24% | 9 Aug → | ||
| 13–7 | -0.00 | 14% | 9 Aug → | ||
| 13–11 | 0.04 | 19% | 9 Aug → | ||
| 13–10 | -0.04 | 19% | 9 Aug → | ||
| 3–13 | -0.04 | 22% | 9 Aug → | ||
| 13–2 | 0.06 | 31% | 9 Aug → | ||
| 16–13 | 0.00 | 24% | 9 Aug → | ||
| 13–6 | 0.08 | 24% | 7 Aug → | ||
| 13–4 | 0.05 | 24% | 7 Aug → | ||
| 13–1 | 0.09 | 18% | 7 Aug → | ||
| 13–1 | 0.06 | 21% | 7 Aug → | ||
| 17–19 | -0.03 | 29% | 31 Jul → | ||
| 13–8 | 0.04 | 18% | 31 Jul → | ||
| 10–13 | -0.01 | 19% | 31 Jul → | ||
| 17–19 | -0.03 | 29% | 31 Jul → | ||
| 10–13 | -0.01 | 19% | 31 Jul → | ||
| 13–8 | 0.04 | 18% | 31 Jul → | ||
| 8–13 | -0.00 | 16% | 31 Jul → | ||
| 6–13 | -0.03 | 35% | 31 Jul → | ||
| 6–13 | -0.03 | 35% | 31 Jul → | ||
| 8–13 | -0.00 | 16% | 31 Jul → | ||
| 13–2 | 0.03 | 39% | 31 Jul → | ||
| 13–1 | 0.01 | 15% | 31 Jul → | ||
| 13–1 | 0.01 | 15% | 31 Jul → | ||
| 13–2 | 0.03 | 39% | 31 Jul → | ||
| 9–13 | -0.04 | 26% | 26 Jul → | ||
| 13–9 | -0.01 | 21% | 26 Jul → | ||
| 11–13 | 0.01 | 26% | 26 Jul → | ||
| 10–13 | -0.06 | 16% | 25 Jul → | ||
| 1–13 | -0.03 | 20% | 25 Jul → | ||
| 13–7 | 0.07 | 21% | 25 Jul → | ||
| 13–9 | 0.04 | 22% | 25 Jul → | ||
| 13–5 | 0.08 | 32% | 25 Jul → | ||
| 13–8 | -0.00 | 21% | 22 Jul → | ||
| 13–11 | -0.01 | 10% | 22 Jul → | ||
| 16–13 | -0.03 | 21% | 22 Jul → | ||
| 16–14 | 0.06 | 19% | 22 Jul → | ||
| 13–8 | 0.01 | 21% | 21 Jul → | ||
| 13–6 | 0.08 | 19% | 21 Jul → | ||
| 10–13 | -0.01 | 20% | 21 Jul → | ||
| 13–10 | 0.10 | 29% | 18 Jul → | ||
| 0–13 | -0.08 | 38% | 14 Jul → | ||
| 3–13 | -0.06 | 21% | 14 Jul → | ||
| 13–8 | 0.04 | 25% | 14 Jul → | ||
| 13–9 | 0.04 | 19% | 14 Jul → | ||
| 16–13 | -0.02 | 17% | 13 Jul → | ||
| 13–9 | -0.01 | 34% | 13 Jul → | ||
| 26–28 | -0.03 | 28% | 13 Jul → | ||
| 13–2 | 0.03 | 23% | 12 Jul → | ||
| 13–6 | 0.01 | 18% | 12 Jul → | ||
| 13–3 | 0.01 | 21% | 12 Jul → | ||
| 13–9 | 0.06 | 18% | 23 Jun → | ||
| 4–13 | -0.02 | 22% | 18 Jun → | ||
| 5–13 | 0.00 | 14% | 18 Jun → | ||
| 13–16 | 0.03 | 15% | 16 Jun → | ||
| 8–13 | -0.03 | 25% | 16 Jun → | ||
| 13–9 | -0.04 | 19% | 14 Jun → | ||
| 13–7 | 0.03 | 33% | 31 May → | ||
| 13–7 | 0.03 | 16% | 31 May → | ||
| 10–13 | 0.07 | 15% | 31 May → | ||
| 13–6 | 0.07 | 20% | 31 May → | ||
| 16–12 | 0.06 | 14% | 31 May → | ||
| 13–9 | 0.06 | 20% | 30 May → | ||
| 13–8 | 0.03 | 32% | 29 May → | ||
| 13–3 | 0.04 | 27% | 29 May → | ||
| 8–13 | -0.06 | 37% | 21 May → | ||
| 5–13 | -0.09 | 15% | 20 May → | ||
| 13–5 | 0.05 | 16% | 20 May → | ||
| 13–5 | -0.01 | 23% | 20 May → | ||
| 13–6 | 0.02 | 20% | 19 May → | ||
| 13–7 | 0.06 | 23% | 19 May → | ||
| 10–13 | -0.04 | 8% | 14 May → | ||
| 13–8 | 0.03 | 23% | 14 May → | ||
| 10–13 | -0.03 | 20% | 12 May → | ||
| 13–6 | 0.04 | 13% | 12 May → | ||
| 25–22 | -0.01 | 16% | 12 May → | ||
| 10–13 | 0.03 | 20% | 20 Apr → | ||
| 9–13 | -0.05 | 8% | 15 Apr → | ||
| 7–13 | 0.00 | 15% | 15 Apr → | ||
| 9–11 | -0.00 | 16% | 14 Apr → | ||
| 7–3 | 0.20 | 18% | 14 Apr → | ||
| 13–7 | 0.01 | 36% | 14 Apr → | ||
| 13–16 | -0.03 | 28% | 13 Apr → | ||
| 4–13 | -0.03 | 19% | 13 Apr → | ||
| 8–13 | -0.02 | 33% | 4 Apr → |
Match data via Leetify.