Noumer — CS2 Stats
76561198028064219[U:1:67798491]✓ No bans
How this compares with the same rank
Median values for Red band among CSDB-tracked players (n=1,873), 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 | Red band median |
|---|---|---|
| Headshot rate | 46.7% | 49.9% |
| Shot accuracy | 15.3% | 13.4% |
| Kill/death ratio | 1.13 | 1.12 |
| Match win rate | 47.1% | 48.4% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 92% playstyle similarity
Most alike: positioning profile, 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 →
CSDB Rating breakdown
Composite 6.3/10 (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 |
|---|---|---|---|---|---|
| D | 21 | 7–14 | 33% | 0.06 | |
| A | 16 | 9–7 | 56% | 0.02 | |
| D | 15 | 5–10 | 33% | 0.03 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| D | 9 | 2–7 | 22% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| office | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 216 | 47% | 1.17 | 16.3 |
| Dust2 | 97 | 47% | 1.05 | 14.9 |
| Ancient | 96 | 49% | 1.20 | 17.0 |
| Anubis | 91 | 54% | 1.24 | 16.8 |
| Inferno | 76 | 58% | 1.59 | 19.8 |
| Nuke | 44 | 50% | 1.28 | 16.4 |
| Vertigo | 19 | 53% | 1.38 | 17.6 |
| Cache | 17 | 59% | 1.60 | 20.5 |
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 14.9725% — below the 15% 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 | |
|---|---|---|---|---|---|
| 6–13 | -0.01 | 7% | 29 Aug → | ||
| 9–13 | 0.07 | 17% | 29 Aug → | ||
| 9–13 | -0.01 | 17% | 29 Aug → | ||
| 12–12 | -0.02 | 15% | 29 Aug → | ||
| 10–13 | 0.07 | 14% | 26 Aug → | ||
| 12–12 | -0.01 | 15% | 24 Aug → | ||
| 13–2 | 0.16 | 15% | 24 Aug → | ||
| 2–13 | -0.10 | 24% | 24 Aug → | ||
| 11–13 | 0.08 | 11% | 22 Aug → | ||
| 13–11 | 0.07 | 14% | 13 Aug → | ||
| 13–5 | 0.11 | 23% | 13 Aug → | ||
| 7–13 | 0.06 | 13% | 13 Aug → | ||
| 10–13 | 0.06 | 10% | 13 Aug → | ||
| 13–8 | -0.00 | 21% | 12 Aug → | ||
| 13–5 | 0.11 | 14% | 11 Aug → | ||
| 12–12 | 0.02 | 21% | 9 Aug → | ||
| 13–6 | 0.11 | 10% | 9 Aug → | ||
| 5–13 | 0.02 | 13% | 7 Aug → | ||
| 11–13 | 0.02 | 19% | 31 Jul → | ||
| 12–12 | 0.07 | 7% | 29 Jul → | ||
| 13–6 | 0.09 | 13% | 28 Jul → | ||
| 4–13 | 0.07 | 14% | 28 Jul → | ||
| 12–12 | 0.02 | 11% | 27 Jul → | ||
| 8–13 | -0.06 | 11% | 22 Jul → | ||
| 6–13 | 0.01 | 30% | 22 Jul → | ||
| 6–13 | -0.05 | 16% | 21 Jul → | ||
| 13–10 | 0.03 | 15% | 20 Jul → | ||
| 13–7 | 0.04 | 16% | 19 Jul → | ||
| 12–12 | 0.00 | 19% | 19 Jul → | ||
| 11–13 | 0.08 | 10% | 18 Jul → | ||
| 11–13 | 0.05 | 15% | 12 Jul → | ||
| office | 13–9 | 0.05 | 15% | 12 Jul → | |
| 13–4 | -0.02 | 15% | 7 Jul → | ||
| 10–13 | 0.02 | 14% | 6 Jul → | ||
| 13–6 | 0.10 | 16% | 6 Jul → | ||
| 10–13 | 0.01 | 16% | 1 Jul → | ||
| 16–13 | -0.04 | 7% | 30 Jun → | ||
| 10–13 | 0.03 | 16% | 27 Jun → | ||
| 11–13 | 0.05 | 11% | 27 Jun → | ||
| 13–4 | 0.03 | 11% | 27 Jun → | ||
| 11–13 | 0.13 | 18% | 27 Jun → | ||
| 12–12 | 0.08 | 17% | 19 Jun → | ||
| 7–13 | 0.05 | 21% | 13 Jun → | ||
| 11–13 | 0.09 | 13% | 12 Jun → | ||
| 13–10 | -0.02 | 18% | 12 Jun → | ||
| 5–13 | 0.06 | 12% | 6 Jun → | ||
| 3–13 | -0.05 | 13% | 6 Jun → | ||
| 13–2 | 0.12 | 18% | 6 Jun → | ||
| 13–7 | 0.07 | 11% | 6 Jun → | ||
| 13–11 | 0.07 | 12% | 5 Jun → | ||
| 13–10 | -0.01 | 18% | 31 May → | ||
| 12–12 | 0.05 | 10% | 31 May → | ||
| 13–5 | 0.07 | 18% | 29 May → | ||
| 9–13 | 0.03 | 5% | 29 May → | ||
| 9–13 | 0.03 | 15% | 29 May → | ||
| 13–9 | 0.13 | 16% | 24 May → | ||
| 13–5 | 0.06 | 20% | 24 May → | ||
| 6–13 | 0.14 | 20% | 24 May → | ||
| 3–13 | 0.03 | 10% | 21 May → | ||
| 3–13 | 0.03 | 13% | 21 May → | ||
| 13–8 | -0.04 | 20% | 16 May → | ||
| 8–13 | 0.12 | 8% | 16 May → | ||
| 5–13 | -0.03 | 8% | 10 May → | ||
| 13–6 | 0.03 | 20% | 3 May → | ||
| 13–10 | 0.00 | 12% | 2 May → | ||
| 7–13 | 0.04 | 20% | 1 May → | ||
| 13–5 | 0.09 | 13% | 30 Apr → | ||
| 13–10 | 0.10 | 13% | 30 Apr → | ||
| 10–13 | 0.02 | 10% | 30 Apr → | ||
| 13–11 | 0.00 | 13% | 30 Apr → | ||
| 13–9 | 0.12 | 6% | 29 Apr → | ||
| 4–13 | 0.02 | 20% | 28 Apr → | ||
| 5–13 | -0.07 | 14% | 28 Apr → | ||
| 0–4 | -0.09 | 0% | 27 Apr → | ||
| 9–1 | 0.05 | 6% | 27 Apr → | ||
| 0–13 | 0.03 | 18% | 23 Apr → | ||
| 9–13 | -0.04 | 10% | 23 Apr → | ||
| 13–9 | -0.06 | 15% | 19 Apr → | ||
| 16–14 | 0.02 | 10% | 18 Apr → | ||
| 13–9 | -0.00 | 13% | 18 Apr → | ||
| 3–0 | -0.03 | 0% | 18 Apr → | ||
| 15–15 | 0.07 | 12% | 17 Apr → | ||
| 10–13 | 0.13 | 8% | 15 Apr → | ||
| 13–4 | 0.03 | 9% | 13 Apr → | ||
| 13–5 | 0.04 | 24% | 13 Apr → | ||
| 3–13 | -0.06 | 32% | 12 Apr → | ||
| 3–13 | 0.00 | 15% | 4 Apr → | ||
| 15–15 | 0.00 | 10% | 3 Apr → | ||
| 13–4 | 0.01 | 36% | 3 Apr → | ||
| 13–10 | -0.07 | 5% | 2 Apr → | ||
| 13–7 | -0.03 | 19% | 2 Apr → | ||
| 8–13 | 0.02 | 13% | 2 Apr → | ||
| 4–13 | 0.05 | 14% | 2 Apr → | ||
| 16–14 | 0.01 | 12% | 1 Apr → | ||
| 14–16 | 0.05 | 18% | 31 Mar → | ||
| 13–0 | -0.01 | 0% | 31 Mar → | ||
| 13–3 | 0.03 | 11% | 31 Mar → | ||
| 11–13 | 0.06 | 14% | 31 Mar → | ||
| 10–13 | -0.02 | 15% | 27 Mar → | ||
| 16–12 | 0.03 | 15% | 25 Mar → |
Match data via Leetify.