Noahh — CS2 Stats
76561198021348681[U:1:61082953]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 50.7% | 52.8% |
| Shot accuracy | 14.0% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 48.0% | 49.2% |
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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.
Sharp aimerLimited 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 ropz 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 89 — the mechanical foundation is a clear strength.
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.
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 5.9/10 (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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | -0.00 | |
| C | 21 | 9–12 | 43% | 0.01 | |
| B | 19 | 9–10 | 47% | -0.00 | |
| A | 14 | 8–6 | 57% | 0.03 | |
| S | 5 | 4–1 | 80% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| office | — | 1 | 0–1 | 0% | 0.02 |
| shelter | — | 1 | 1–0 | 100% | 0.18 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Dust 2 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 162 | 52% | 1.14 | 16.8 |
| Dust2 | 98 | 51% | 1.15 | 17.2 |
| Anubis | 79 | 46% | 1.09 | 17.1 |
| Cache | 56 | 50% | 1.56 | 18.4 |
| Ancient | 54 | 50% | 1.02 | 16.3 |
| Vertigo | 35 | 60% | 1.27 | 21.0 |
| Overpass | 24 | 46% | 1.31 | 19.6 |
| Inferno | 22 | 41% | 1.10 | 18.3 |
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 1.4625 — below the 4 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 39.7573% — 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.
43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.09 | 31% | 23 Aug → | ||
| 13–6 | 0.24 | 56% | 23 Aug → | ||
| 8–13 | 0.00 | 33% | 23 Aug → | ||
| 9–13 | -0.07 | 23% | 19 Aug → | ||
| 13–4 | -0.05 | 36% | 19 Aug → | ||
| 11–13 | -0.03 | 23% | 17 Aug → | ||
| 13–6 | -0.05 | 18% | 17 Aug → | ||
| 5–13 | 0.03 | 38% | 16 Aug → | ||
| 13–16 | 0.00 | 35% | 16 Aug → | ||
| 19–16 | 0.04 | 26% | 16 Aug → | ||
| 13–5 | 0.04 | 31% | 16 Aug → | ||
| 13–7 | 0.03 | 46% | 15 Aug → | ||
| 13–9 | 0.01 | 45% | 12 Aug → | ||
| 19–15 | -0.02 | 18% | 9 Aug → | ||
| 13–11 | 0.04 | 32% | 9 Aug → | ||
| 11–13 | -0.04 | 24% | 9 Aug → | ||
| 13–5 | -0.02 | 16% | 9 Aug → | ||
| 7–13 | -0.06 | 50% | 9 Aug → | ||
| 11–13 | -0.00 | 25% | 9 Aug → | ||
| 7–13 | -0.04 | 30% | 9 Aug → | ||
| 8–13 | -0.00 | 50% | 9 Aug → | ||
| 11–13 | 0.04 | 35% | 8 Aug → | ||
| 13–4 | 0.05 | 27% | 8 Aug → | ||
| 4–13 | 0.01 | 36% | 8 Aug → | ||
| 3–13 | -0.05 | 50% | 8 Aug → | ||
| 13–11 | 0.07 | 36% | 8 Aug → | ||
| 8–13 | 0.06 | 26% | 8 Aug → | ||
| 7–13 | -0.02 | 52% | 8 Aug → | ||
| 5–13 | -0.02 | 36% | 8 Aug → | ||
| 13–2 | 0.09 | 46% | 7 Aug → | ||
| 13–2 | 0.04 | 37% | 7 Aug → | ||
| 5–13 | -0.02 | 22% | 7 Aug → | ||
| 4–13 | -0.04 | 44% | 7 Aug → | ||
| 13–11 | -0.00 | 33% | 7 Aug → | ||
| 13–4 | 0.06 | 15% | 6 Aug → | ||
| 13–11 | 0.02 | 46% | 6 Aug → | ||
| 6–13 | -0.00 | 28% | 4 Aug → | ||
| 6–13 | -0.04 | 38% | 28 Jul → | ||
| 16–14 | -0.03 | 45% | 26 Jul → | ||
| 13–9 | -0.01 | 29% | 26 Jul → | ||
| 18–22 | -0.03 | 31% | 26 Jul → | ||
| 13–3 | 0.05 | 43% | 25 Jul → | ||
| 14–16 | 0.12 | 39% | 25 Jul → | ||
| 3–13 | -0.01 | 29% | 24 Jul → | ||
| 13–11 | -0.01 | 36% | 24 Jul → | ||
| 8–13 | -0.05 | 26% | 24 Jul → | ||
| 11–13 | -0.03 | 31% | 24 Jul → | ||
| 13–11 | 0.01 | 18% | 24 Jul → | ||
| 14–16 | -0.01 | 41% | 19 Jul → | ||
| 13–11 | -0.01 | 32% | 19 Jul → | ||
| 13–11 | 0.04 | 29% | 19 Jul → | ||
| 9–13 | -0.02 | 15% | 19 Jul → | ||
| 13–11 | -0.01 | 21% | 19 Jul → | ||
| 6–13 | -0.01 | 30% | 19 Jul → | ||
| office | 12–12 | 0.02 | 40% | 18 Jul → | |
| shelter | 13–6 | 0.18 | 58% | 18 Jul → | |
| 13–11 | 0.04 | 27% | 18 Jul → | ||
| 16–14 | 0.01 | 24% | 18 Jul → | ||
| 13–9 | -0.04 | 24% | 18 Jul → | ||
| 13–7 | 0.05 | 48% | 17 Jul → | ||
| 13–11 | -0.04 | 21% | 17 Jul → | ||
| 5–13 | -0.06 | 40% | 17 Jul → | ||
| 9–13 | -0.02 | 19% | 13 Jul → | ||
| 13–8 | 0.08 | 28% | 13 Jul → | ||
| 12–16 | 0.03 | 16% | 13 Jul → | ||
| 8–13 | 0.01 | 31% | 13 Jul → | ||
| 16–13 | -0.00 | 39% | 11 Jul → | ||
| 4–13 | 0.03 | 43% | 11 Jul → | ||
| 13–9 | -0.03 | 27% | 11 Jul → | ||
| 7–13 | -0.02 | 40% | 11 Jul → | ||
| 13–10 | 0.09 | 63% | 11 Jul → | ||
| 9–13 | -0.05 | 35% | 11 Jul → | ||
| 13–9 | 0.08 | 50% | 9 Jul → | ||
| 13–8 | -0.04 | 50% | 9 Jul → | ||
| 13–5 | 0.08 | 36% | 9 Jul → | ||
| 3–13 | -0.00 | 24% | 8 Jul → | ||
| 13–10 | 0.03 | 31% | 7 Jul → | ||
| 7–13 | 0.05 | 42% | 7 Jul → | ||
| 7–13 | -0.03 | 29% | 7 Jul → | ||
| 8–13 | 0.04 | 36% | 7 Jul → | ||
| 8–13 | 0.07 | 27% | 6 Jul → | ||
| 13–6 | -0.01 | 21% | 6 Jul → | ||
| 5–13 | -0.07 | 27% | 5 Jul → | ||
| 13–10 | 0.02 | 53% | 5 Jul → | ||
| 10–13 | 0.01 | 24% | 5 Jul → | ||
| 13–10 | 0.07 | 15% | 5 Jul → | ||
| 13–6 | 0.17 | 27% | 5 Jul → | ||
| 1–13 | -0.08 | 28% | 4 Jul → | ||
| 13–6 | -0.00 | 33% | 4 Jul → | ||
| 13–11 | -0.07 | 26% | 3 Jul → | ||
| 11–13 | -0.07 | 22% | 2 Jul → | ||
| 13–7 | -0.03 | 12% | 1 Jul → | ||
| 2–13 | 0.00 | 26% | 30 Jun → | ||
| 8–13 | -0.02 | 18% | 30 Jun → | ||
| 13–16 | -0.01 | 41% | 29 Jun → | ||
| 14–16 | 0.04 | 19% | 29 Jun → | ||
| 13–11 | -0.04 | 50% | 28 Jun → | ||
| 9–13 | 0.01 | 20% | 28 Jun → | ||
| 13–11 | 0.01 | 39% | 28 Jun → | ||
| 13–9 | -0.08 | 53% | 27 Jun → |
Match data via Leetify.